Bunil Balabantaray | Engineering | Best Researcher Award

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Dr. Bunil Balabantaray | Engineering | Best Researcher Award

NIT Meghalaya, India

Author Profile

Early Academic Pursuits 🎓

Dr. Bunil Kumar Balabantaray’s academic journey began with his foundational education in Information Technology. After completing his Bachelor’s degree (B.E.) from Balasore College of Engineering and Technology in 2005, he pursued his Master’s degree (M.Tech) from Dhaneswar Rath Institute of Engineering and Management Studies (DRIEMS) between July 2008 and June 2010. His master’s thesis focused on Path Planning and Multi-Robot Cooperation Using Extended Q-Learning and Evolutionary Multi-Objective Optimization Technique, a reflection of his early passion for robotics, machine learning, and optimization. His thirst for knowledge and innovation led him further into the field of Industrial Design, where he obtained his Ph.D. from National Institute of Technology (NIT), Rourkela in 2017. His doctoral research, titled Design and Development of Robotic Part Assembly System Under Vision Guidance, set the foundation for his future contributions to robotics and automation. 🛠️🤖Throughout these formative years, he acquired deep knowledge in Robotics, Vision Systems, Control Systems Engineering, and Advanced Mechatronics, making him well-prepared for his eventual academic and research career. The combination of rigorous coursework, innovative projects, and dedication to the field of computer science empowered Dr. Balabantaray to make significant strides in his professional life.

Professional Endeavors 💼

Dr. Balabantaray’s professional career began in 2005 when he took up a Lecturer position at Balasore College of Engineering and Technology. From there, his teaching career expanded across various institutions, including Dhaneswar Rath Institute of Engineering and Management Studies and Synergy Institute of Technology. His expertise in Robotics, Soft Computing, Algorithm Design, and Computer Networks made him a key academic leader in these institutions.In 2017, Dr. Balabantaray joined VIT-AP University as an Associate Professor where he further honed his skills, taking on several administrative responsibilities like leading the Technology and Business Incubator and serving as the Professor-in-charge of the Robotics Club. His dedication and contribution were quickly recognized, and he became an essential part of the university’s progress in the field of Robotics and Automation.By 2017, Dr. Balabantaray joined NIT Meghalaya as an Assistant Professor, continuing his journey as an educator. His significant teaching and research contributions here include subjects like Machine Learning, Image Processing, Discrete Mathematical Structures, and Cloud Computing. The diverse range of courses he has taught over the years has not only broadened his knowledge base but also enabled him to mentor numerous students in their academic and research endeavors. 📚

Contributions and Research Focus 🔍

Dr. Balabantaray’s research has focused primarily on Robotics and Machine Vision Systems, aligning with his Ph.D. work. His deep involvement with robotic systems like Boebot, NI-Mobile robot platform, Kawasaki RSO6L, and NI Machine Vision Systems highlights his technical expertise in developing intelligent systems. He also has considerable programming experience, with proficiencies in C, C++, MATLAB, LabVIEW, and Python, enabling him to bring innovative solutions to complex robotic and automation problems.Dr. Balabantaray’s work in Artificial Intelligence (AI), Evolutionary Multi-Objective Optimization, and Robotic Path Planning demonstrates his commitment to pushing the boundaries of technological development. His teaching in subjects like Mechatronics, Soft Computing, and Image Processing and his hands-on work with robotic platforms emphasize his role as a leader in cutting-edge research and pedagogy.

Accolades and Recognition 🏆

Over the years, Dr. Balabantaray has garnered several accolades for his professional and academic achievements. At NIT Meghalaya, he has played a crucial role as a Warden, Faculty-in-charge of Internships, and Member of various important committees, including the Center for Robotics and Mechatronics and the Startup and Innovation Committee. His leadership was evident when he conducted events such as Hackathon-2020 and 2021, and the Annual Technical Fest (Cognitia-22) as Vice President of the Technical Student Activity Center. These roles allowed him to inspire students and foster a culture of innovation and creativity within the institution. 🧠💡Dr. Balabantaray also took on important administrative responsibilities, including serving as Professor-in-charge of PG and Research and overseeing PG Admission Committees. His leadership in organizing large-scale events, including the AIIMS PG Entrance Test and Doctors Recruitment, has been widely recognized.

Impact and Influence 🌟

Dr. Balabantaray’s contributions extend beyond academia. His involvement in NAAC and NBA accreditation preparatory teams, along with his leadership in affiliation processes with AICTE, demonstrates his commitment to institutional development. His influence as an educator and a mentor is reflected in his students, many of whom have gone on to make significant contributions in the fields of robotics, AI, and computer science.Moreover, his organizational skills, seen in events such as Azadi Ka Amrit Mahotsav and his involvement in non-faculty recruitment, have helped foster an environment of excellence at NIT Meghalaya.

Legacy and Future Contributions 🎯

Dr. Balabantaray’s legacy as an academician and researcher is firmly established. His extensive work in Robotics, AI, and Computer Science has not only influenced the next generation of engineers and technologists but also made significant contributions to the development of advanced robotic systems. His future contributions are sure to leave a lasting impact, as he continues to drive research in Robotics and Automation, mentor young talent, and contribute to the advancement of computer science education.Dr. Balabantaray’s ultimate goal is to contribute to the progress of both his students and his organization by exemplifying the highest standards of integrity, innovation, and leadership. His commitment to quality education and honest research makes him a respected figure in academia.

Citations

A total of 232 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         232
  • h-index           63
  • i10-index        9

Notable Publications 

  • Title: Mobility-enhanced delay-aware cloudlet movement and placement using cluster-based technique in a smart healthcare platform
    Authors: Sahkhar, L., Balabantaray, B.K., Panda, S.K.
    Journal: Cluster Computing
    Year: 2024.
  • Title: Melanoma skin cancer detection using deep learning-based lesion segmentation
    Authors: Behera, N., Singh, A.P., Rout, J.K., Balabantaray, B.K.
    Journal: International Journal of Information Technology (Singapore)
    Year: 2024.
  • Title: A hybrid learning method for distinguishing lung adenocarcinoma and squamous cell carcinoma
    Authors: Swain, A.K., Swetapadma, A., Rout, J.K., Balabantaray, B.K.
    Journal: Data Technologies and Applications
    Year: 2024.
  • Title: EU-Net: Efficient U-shaped Deep Convolutional Neural Network for Colon Polyps Segmentation
    Authors: Pratik, S., Sharma, P., Rana, D., Balabantaray, B.K.
    Journal: ICEPE 2024 – 6th International Conference on Energy, Power and Environment: Towards Indigenous Energy Utilization
    Year: 2024.
  • Title: Comparative Analysis of Pure Convolution Narrow U-Net for Colorectal Polyp Segmentation on GPU, CPU and FPGA
    Authors: Rana, D., Vennelakanti, B.N., Balabantaray, B.K., Peesapati, R.
    Journal: 2024 IEEE 9th International Conference for Convergence in Technology, I2CT 2024
    Year: 2024.

Shailendra Sinha | Engineering | Best Researcher Award

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Dr. Shailendra Sinha | Engineering | Best Researcher Award

Institute of Engineering and Technology, India

Author Profile

🎓 Early Academic Pursuits

Born in Lucknow, Uttar Pradesh, Prof. Sinha’s academic journey began with a strong foundation in mechanical engineering. He completed his B.Tech from Kamla Nehru Institute of Technology, Sultanpur, in 1989 with an impressive score of 76.4%. Eager to deepen his knowledge, he pursued a Master of Engineering (M.E.) in Thermal Engineering at the University of Roorkee (now IIT Roorkee) in 1992, securing 70.9%.Prof. Sinha’s thirst for excellence led him to the prestigious Indian Institute of Technology, Kanpur, where he completed his Ph.D. in Thermal Engineering in 2008 with a perfect CGPA of 10/10. His doctoral dissertation, focused on biodiesel development, explored performance, emissions, combustion, and wear investigations on medium-duty transportation CIDI engines. This research laid the groundwork for his future endeavors in the field of renewable energy and sustainability.

🚀 Professional Endeavors and Contributions

Prof. Sinha’s professional career is an inspiring tale of dedication to academia and research. He began his teaching career as a Lecturer in the Department of Mechanical Engineering at the Institute of Engineering and Technology (IET), Lucknow, in 1996. Over the years, his expertise and leadership skills earned him promotions to Assistant Professor, Associate Professor, and eventually Professor by 2012.In addition to teaching, Prof. Sinha has held several pivotal administrative roles, including Dean of Post Graduate and Research, Head of the Department, Dy. Dean of Academics, and Member of the Academic Council at IET, Lucknow. His responsibilities extended beyond academics, as he actively contributed to shaping institutional policies, managing academic programs, and mentoring students.Prof. Sinha’s commitment to student development is evident in his role as a Faculty Advisor for various student organizations, such as the SAE Collegiate Club and the Mechanical Engineering Forum. His ability to balance academic excellence with administrative efficiency has made him a respected figure in the academic community.

🔬 Research Focus and Impact

With over three decades of research experience, Prof. Sinha has established himself as a leading authority in energy technology and renewable energy systems. His research interests span across solid oxide fuel cells, biofuels, thermodynamics, heat transfer, and the techno-economics of energy systems.His significant research contributions include conducting a Techno-Economic Feasibility Analysis of Solid Oxide Fuel Cell-Based Integrated Power Generation Systems. This work not only addresses the pressing issue of sustainable energy solutions but also integrates renewable and non-renewable technologies for broader applications.With 32 international publications, 20 conference papers, and several book chapters to his credit, Prof. Sinha’s work has garnered widespread recognition. His Google Scholar profile boasts an h-index of 14 and an i10-index of 17, with over 1950 citations—a testament to the global impact of his research. His work on renewable energy technologies has not only contributed to academic advancements but also holds significant potential for real-world applications in the energy sector. 🌍

🏅 Accolades and Recognition

Prof. Sinha’s remarkable achievements in academia have been recognized through various awards and honors. His extensive contributions to teaching, research, and administration have earned him membership in prestigious professional bodies such as the Institution of Engineers (India), where he is a Fellow. Throughout his career, Prof. Sinha has been entrusted with numerous leadership roles, from Convenor of M.Tech. Mechanical Engineering to Chairman of the Result Committee.His commitment to academic excellence has been consistently acknowledged by both his peers and students. As a research guide, Prof. Sinha has mentored two doctoral students and over 25 master’s students, shaping the next generation of engineers and researchers. His guidance has also extended to more than 50 bachelor-level projects, further showcasing his dedication to fostering talent and innovation.

🌟 Impact and Influence

Prof. Sinha’s influence extends far beyond the classroom and laboratory. As an educator, he has inspired countless students to pursue careers in energy technology and mechanical engineering. His ability to simplify complex concepts and his passion for teaching have made him a beloved figure among his students. 💡As a researcher, Prof. Sinha’s work has contributed to advancing sustainable energy solutions, making a tangible impact on the field of renewable energy. His research on biofuels and solid oxide fuel cells addresses critical environmental and energy challenges, positioning him as a thought leader in the field of sustainability.

📚 Legacy and Future Contributions

Looking to the future, Prof. Sinha remains committed to advancing research in energy systems and natural resource management. His work continues to explore innovative solutions to environmental issues and aims to make energy technologies more accessible and efficient.Prof. Sinha’s legacy as a dedicated educator, researcher, and mentor will undoubtedly continue to inspire future generations of engineers. His contributions to both academia and society reflect a deep commitment to knowledge, sustainability, and the betterment of humanity. 🌱In conclusion, Prof. (Dr.) Shailendra Sinha’s journey is one of excellence, innovation, and unwavering dedication. His work in biofuels, renewable energy, and energy technology has left a lasting impact, and his legacy will continue to shape the future of sustainable energy. 💡

Citations

A total of 1202 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         1202
  • h-index           45
  • i10-index        12

Notable Publications 

  • Techno-Economic and Environmental Analysis of a Hybrid Power System Formed From Solid Oxide Fuel Cell, Gas Turbine, and Organic Rankine Cycle
    • Authors: Yadav, A.K., Kumar, A., Sinha, S.
    • Journal: Journal of Energy Resources Technology, Transactions of the ASME
    • Year: 2024.
  • Advancements in Composite Cathodes for Intermediate-Temperature Solid Oxide Fuel Cells: A Comprehensive Review
    • Authors: Yadav, A.K., Sinha, S., Kumar, A.
    • Journal: International Journal of Hydrogen Energy
    • Year: 2024.
  • Experimental Review on Solid Oxide Fuel Cell-Based Hybrid Power Generation System: Performance, Economic, and Environmental Analysis
    • Authors: Yadav, A.K., Kumar, A., Sinha, S., Singh, S., Yadav, S.K.
    • Journal: Energy Sources, Part A: Recovery, Utilization and Environmental Effects
    • Year: 2024.
  • An Estimation of Various Performance Parameters of CI Engine Fueled with Diesel and Biodiesel Blends
    • Authors: Agrawal, B.N., Singh, C., Sinha, S.
    • Journal: Lecture Notes in Mechanical Engineering
    • Year: 2024.
  • Comprehensive Review on Performance Assessment of Solid Oxide Fuel Cell-Based Hybrid Power Generation System
    • Authors: Kumar Yadav, A., Sinha, S., Kumar, A.
    • Journal: Thermal Science and Engineering Progress
    • Year: 2023.

Nilesh Badgujar | Engineering | Best Researcher Award

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Assoc Prof Dr. Nilesh Badgujar | Engineering | Best Researcher Award

UPL University of Sustainable Technology, India

Author Profile

Early Academic Pursuits 🎓

Dr. Badgujar Nilesh Prakash embarked on his academic journey with a strong foundation in Chemical Engineering. He completed a Diploma in Chemical Engineering in 2002 from SMIT College of Engineering, Jalgaon, achieving a commendable score of 64.49%. Building on this, he pursued a B.Tech. in Paints Technology from UDCT, North Maharashtra University, Jalgaon, in 2005, where he secured 62.75%. His passion for further learning led him to obtain an M.Tech. in Chemical Engineering in 2009 from the same institution, with a percentage of 66.67%. This progressive academic path culminated in a Ph.D. in Chemical Technology from the prestigious UICT, Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon, awarded in 2019. His Ph.D. thesis, titled “Physicochemical Characterization, Process Engineering, and Mathematical Modeling of Pigmented Dispersion for Utilization in Formulation of Coatings”, showcases his deep-rooted expertise in the domain of chemical technology. His Ph.D. was guided by Prof. (Dr.) R. D. Kulkarni, the Pro Vice-Chancellor of Mumbai University, a testament to his academic rigor and intellectual prowess.

Professional Endeavors and Leadership 🌍

Dr. Badgujar’s professional journey reflects an impressive combination of teaching, leadership, and research. He began his career as a Lecturer at the University Institute of Chemical Technology, North Maharashtra University, Jalgaon, where he served from 2005 to 2014. His decade-long stint in this role reflects his commitment to shaping the next generation of chemical engineers. In 2014, he took up the position of Assistant Professor at Shroff S.R. Rotary Institute of Chemical Technology, Ankleshwar, furthering his academic career until 2019. His tenure at this institute allowed him to delve deeper into teaching and research while honing his skills as an educator.In 2019, Dr. Badgujar took on the role of Associate Professor & Head at UPL University of Sustainable Technology, Ankleshwar, where he continues to contribute to the field. As the head of a premier institution, his leadership extends beyond administrative duties, as he actively promotes research, innovation, and sustainable practices in chemical technology. His ability to lead a team, inspire students, and collaborate with professionals has established him as a pivotal figure in the academic world.

Research Focus and Innovation 💡

Dr. Badgujar’s research expertise spans physicochemical characterization, process engineering, and mathematical modeling, particularly in the domain of pigmented dispersion. His doctoral work on pigmented dispersion for coating formulations is a significant contribution to the paint and coatings industry, offering insights into optimizing formulations for better performance and sustainability. The emphasis on process engineering and mathematical modeling reflects his ability to marry theoretical knowledge with practical applications, a crucial skill in advancing the industry.His focus on innovation has driven his contributions to cost optimization, one of his core competencies. Dr. Badgujar’s research not only aims to improve product performance but also to reduce production costs, ensuring that the advancements are both technologically sound and economically viable. His work in strategic vision, another of his core competencies, allows him to foresee the future needs of the industry and direct his research and leadership accordingly.

Accolades and Recognition 🏆

Throughout his career, Dr. Badgujar has been recognized for his research and academic contributions. A significant achievement was his Second Paper Award at the International Conference on Surface Protective Coating Symposium in 2010. This accolade is a reflection of his dedication to advancing knowledge in the field of surface coatings. His research contributions have not only been acknowledged by peers but have also set a benchmark for future research in the area of coatings and chemical technology.In addition to his research awards, his professional journey as an Associate Professor and Head at UPL University of Sustainable Technology has earned him the respect and admiration of his colleagues and students. His leadership is marked by an unwavering commitment to innovation and team-building, positioning him as a key player in the academic and research landscape.

Impact and Influence 🌟

Dr. Badgujar’s impact on the field of chemical technology is multi-faceted. Through his research, he has provided critical insights into paint formulations and coatings, which have practical applications in various industries, including automotive, construction, and manufacturing. His work on mathematical modeling of pigmented dispersion offers a scientific foundation for developing more efficient, durable, and sustainable coatings, directly benefiting industries reliant on surface protection technologies.As a leader in chemical technology education, his influence extends beyond research to shaping the future of the field through his role in academia. His ability to guide and mentor students ensures that the next generation of chemical engineers is well-prepared to tackle the challenges of a rapidly evolving industry.

Legacy and Future Contributions 🛠️

Looking to the future, Dr. Badgujar’s work is poised to leave a lasting legacy. His focus on sustainable technologies aligns with global trends toward environmentally friendly solutions in chemical engineering. As the Head of UPL University of Sustainable Technology, his leadership will continue to influence the direction of research and development in sustainable practices. His commitment to innovation, team-building, and cost optimization ensures that his contributions will remain relevant and impactful in the coming years.Moreover, his work in process engineering and mathematical modeling lays the groundwork for future research in the field. As industries increasingly turn to data-driven and model-based solutions, Dr. Badgujar’s contributions will continue to be a cornerstone for technological advancements in chemical processes and coating technologies.In conclusion, Dr. Badgujar Nilesh Prakash’s career is a testament to his dedication to research, education, and leadership in chemical technology. His contributions to coating formulations, process optimization, and sustainable practices have earned him a place among the top professionals in his field, and his ongoing work promises to shape the future of the industry. 🎯

Citations

A total of 70 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         70
  • h-index           9
  • i10-index        3

Notable Publications 

  1. Title: Sustainable synthesis of iron oxide nanopigments: Enhancing pigment quality through combined air oxidation and cavitation techniques
    Authors: Adhav, K.D., Badgujar, N.P., Alswieleh, A., Nagaraj, K.
    Journal: Journal of the Indian Chemical Society
    Year: 2024.
  2. Title: Nano-enhanced antifungal paint: Harnessing nanoparticle-based fungicides for enhanced durability and protection
    Authors: Chavan, P.G., Badgujar, N.P., Wadaan, M.A., Nagaraj, K.
    Journal: Journal of the Indian Chemical Society
    Year: 2024.
  3. Title: Synthesis of CdTe quantum dots using Glutathione promoted in vitro interaction between lysozyme and flavonoids: An investigation through spectroscopic methods
    Authors: Vaishnavi, E., Balasubramaniam, K., Nagaraj, K., Badgujar, N.P., Shamim Rishwana, S.
    Journal: Journal of Molecular Structure
    Year: 2024.
  4. Title: Exploring biogenic microbial synthesis and biomedical applications of silver nanoparticles: A comprehensive review
    Authors: Uthra, C., Muralitharan, G., Nagaraj, K., Shah, F., Abhijith, S.M.
    Journal: Results in Chemistry
    Year: 2024.

    Title: Effect of bead mill dispermat system with specific surfactants on organic pigments
    Authors: Badgujar, N.P., Kulkarni, R.D., Sonawane, S.H., Nagaraj, K., Alshalwi, M.
    Journal: Zeitschrift für Physikalische Chemie
    Year: 2024.

 

Arvind Kumar Rajput | Engineering | Best Researcher Award

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Assist Prof Dr. Arvind Kumar Rajput | Engineering | Best Researcher Award

IIT Jammu-India

Author Profile

Early Academic Pursuits 🎓

Dr. Arvind Kumar Rajput’s academic journey began with a solid foundation in science and mathematics at LDRSVMIC Kiratpur, where he completed his schooling with commendable scores. His passion for mechanical engineering led him to pursue a B.Tech. at IMSEC, Ghaziabad, where he excelled with a remarkable 79.66%. This strong performance continued as he pursued his M.Tech. at the prestigious Indian Institute of Technology Roorkee, specializing in CAD/CAM and Robotics, where he achieved a CGPA of 8.87. His quest for knowledge culminated in a Ph.D. from the same institute, focusing on fluid film journal bearings, further establishing his expertise in tribology.

Professional Endeavors 🔧

Dr. Rajput has accumulated significant experience in academia, serving as an Assistant Professor at multiple institutions. His journey began at DIT University in Dehradun, followed by a tenure at Shiv Nadar University, where he contributed to the mechanical engineering curriculum and research initiatives. In November 2018, he joined IIT Jammu, where he currently imparts knowledge and conducts cutting-edge research in the Mechanical Engineering Department. His areas of expertise include hydrodynamic and hydrostatic lubrication, functionally graded materials, and the application of artificial intelligence in mechanical design.

Contributions and Research Focus 🔍

Dr. Rajput’s research is centered around tribology, particularly focusing on lubrication systems and their applications in mechanical devices. He has led several ongoing projects, such as the fabrication of magnetic structures using laser additive manufacturing for BLDC motor applications and the indigenous development of conical journal bearing systems. His work not only enhances the understanding of lubrication in engineering but also contributes to the advancement of technologies critical for modern mechanical systems. Additionally, he has explored the use of AI in predicting the performance characteristics of journal bearings, showcasing his commitment to integrating innovative technologies into traditional engineering disciplines.

Accolades and Recognition 🏆

Throughout his career, Dr. Rajput has garnered several prestigious awards and recognitions. His teaching prowess was acknowledged with the Teaching Appreciation Award at IIT Jammu, reflecting his dedication to student engagement and academic excellence. He has also received multiple travel grants from esteemed organizations like SERB and CICS, enabling him to share his insights at international conferences. His academic achievements during his undergraduate studies, including the James Watt award for standing first in his B.Tech. program, further underscore his commitment to excellence in engineering education.

Impact and Influence 🌍

Dr. Rajput’s influence extends beyond his immediate academic environment. His involvement in consultancy projects has provided practical solutions for various engineering challenges, including mechanical drawing vetting and the analysis of lubrication flows in steam turbine bearings. His active participation in international symposiums highlights his role as a thought leader in the field of tribology. By mentoring students and guiding research projects, he is shaping the next generation of engineers, imparting not just knowledge but also a passion for innovation and problem-solving.

Legacy and Future Contributions 🔮

Looking ahead, Dr. Rajput aims to further his research in tribology and its applications in emerging technologies. His ongoing projects promise to yield significant advancements in materials and lubrication systems, which are essential for the efficiency of mechanical devices in various industries. He is also keen on exploring the intersections of AI and mechanical engineering, potentially leading to groundbreaking developments that could redefine engineering practices. As he continues to inspire students and colleagues alike, Dr. Rajput’s legacy will undoubtedly be marked by his contributions to the field, his commitment to education, and his vision for a future where mechanical engineering and innovative technologies seamlessly converge.In summary, Dr. Arvind Kumar Rajput’s academic and professional journey is characterized by a relentless pursuit of knowledge and a deep commitment to engineering excellence. His contributions to the field of tribology, combined with his dedication to teaching and mentorship, ensure that he will continue to make a significant impact in the mechanical engineering landscape for years to come. 🚀

Citations

A total of 213 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         213
  • h-index           21
  • i10-index        9

Notable Publications 

  • Effect of pocket orientation on PVP lubricated hybrid conical journal bearing system
    Singh, V., Rajput, A.K.
    Tribology International, 2024.
  • Piezo-viscous-polar lubrication of hybrid journal bearing under misaligned operation
    Rajput, A.K., Singh, V.
    Acta Mechanica, 2024.
  • Piezo-viscous-polar lubrication of hybrid conical journal bearing with slip boundary conditions
    Singh, V., Rajput, A.K.
    Tribology International, 2024.
  • Effect of pocket orientation on four pocket hybrid journal bearing operating with piezo-viscous polar lubricant
    Singh, V., Rajput, A.K.
    Industrial Lubrication and Tribology, 2024.
  • Design optimization of vein-bionic textured hydrodynamic journal bearing using genetic algorithm
    Khatri, C.B., Yadav, S.K., Thakre, G.D., Rajput, A.K.
    Acta Mechanica, 2024.

Aqil K H | Artificial intelligence | Best Researcher Award

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Mr. Aqil K H | Artificial intelligence | Best Researcher Award

Indian institute of technology Madras-India

Author Profile

Early Academic Pursuits 📚

Dr. Aqil K H’s passion for electrical engineering and innovation began at a young age in Kerala, India. His academic journey started at the Model Technical Higher Secondary School in Ernakulam, where he excelled in the state board exams, securing an impressive 98.33% in 2012 for his X standard and 95.58% in 2014 for his XII standard. These early achievements underscored his commitment to learning and laid the foundation for his future success. After completing his pre-university education, he pursued a Bachelor of Technology (B.Tech) degree in Electronics and Communication Engineering (ECE) from the prestigious Government Model Engineering College in Ernakulam, Kerala, where he graduated with a commendable CGPA of 8.36 in 2018. His strong academic foundation and technical skills positioned him for higher studies and research.

Professional Endeavors 🌍

Dr. Aqil’s career began as a Software Engineer at Kimball Electronics (India) Pvt. Ltd., where he contributed to various projects within the image processing domain. His role involved the development of computer vision frameworks and algorithm optimization for improving image quality. Working closely with clients in Vietnam, he demonstrated his adaptability and ability to manage real-world challenges, marking his early years of professional growth.In 2020, Dr. Aqil transitioned into research, joining the Healthcare Technology Innovation Centre (HTIC) at IIT Madras, one of the country’s leading research institutes. As a Research Associate, he worked on several impactful projects. One notable project was the X-ray angiography image enhancement initiative, where he collaborated with industry partners to enhance imaging technology. His work on precision medicine for chronic diseases, particularly Alzheimer’s, further expanded his contributions to healthcare innovations. This multi-modal time series forecasting system, aimed at predicting disease progression, utilized cutting-edge techniques like graph representation learning.Additionally, Dr. Aqil became associated with the Sudha Gopalakrishnan BRAIN Centre at IIT-M, where he contributed to groundbreaking research in fetal brain MRI segmentation and histopathology image segmentation. These projects highlighted his ability to apply machine learning and image processing techniques to critical medical fields.

Contributions and Research Focus 🔬

Dr. Aqil’s research primarily focuses on deep learning, machine learning, and image processing, with a particular interest in healthcare applications. His expertise lies in creating sophisticated algorithms and frameworks for medical imaging, including MRI segmentation, dental panoramic X-ray analysis, and time-series forecasting for clinical outcomes.

Some of his key projects include:

  • Learning to Atlas Register for Rapid Segmentation of Brain Structures in Fetal MRI: This innovative project addressed challenges in brain segmentation, focusing on multilabel atlas-based segmentation. By using the VoxelMorph’s CNN architecture, Dr. Aqil formulated registration as a deformation field that aligned neurotypical brain images for better diagnosis.
  • Time Series Forecasting of Clinical Factors and Outcomes: This project was geared toward Alzheimer’s disease prediction, using a graph representation learning approach. Dr. Aqil proposed a novel framework that operated on dynamic graphs, translating medical data into actionable insights for clinicians.
  • Accelerated MRI with Untrained Neural Networks: Addressing the problem of MRI reconstruction, this project leveraged untrained neural networks to solve issues related to undersampling, using innovative techniques like ConvDecoder.

His work on dental panoramic X-ray segmentation utilized deep learning techniques to enable the early diagnosis of dental disorders. Dr. Aqil’s fascination with machine learning also extended into areas of face recognition technology, where he developed a door access control system based on K-L transform for face recognition.

Accolades and Recognition 🏅

Throughout his career, Dr. Aqil has earned widespread recognition for his contributions to both research and industry. His academic achievements, such as a CGPA of 9.00 in his Master’s program at IIT-Madras, reflect his dedication to excellence. His research endeavors at IIT-Madras’s HTIC and BRAIN Centre have led to publications that have earned citations, indicating his growing influence in the field of medical image processing and machine learning.

Impact and Influence 🌟

Dr. Aqil’s research has had a profound impact on the field of medical imaging. His work on X-ray angiography and fetal brain MRI segmentation has improved diagnostic capabilities, helping doctors make more informed decisions. The time series forecasting systems he developed for Alzheimer’s disease prediction are poised to revolutionize how chronic diseases are managed and treated. His contributions to precision medicine are critical in an era where personalized treatment plans are becoming the norm.His research contributions extend beyond academic circles, as his image processing frameworks are being implemented in real-world medical settings, influencing the future of healthcare technology.

Legacy and Future Contributions 🚀

Dr. Aqil K H is set to leave a lasting legacy in the intersection of electrical engineering and healthcare technology. His groundbreaking work in image processing and deep learning promises to continue shaping the future of medical diagnostics. As a researcher, his contributions to accelerated MRI reconstruction and graph-based time-series forecasting have set new standards in medical imaging research. His passion for education, research, and technological advancement ensures that his work will inspire future engineers and researchers.In the coming years, Dr. Aqil aims to expand his research to include multi-modal medical data integration and AI-driven healthcare solutions, further pushing the boundaries of how technology can improve human health. His dedication to innovation, collaboration, and continuous learning will undoubtedly leave an enduring mark on the fields of deep learning and medical imaging.

Notable Publications 

  • Predictive Modeling of Alzheimer’s Disease Progression: Integrating Temporal Clinical Factors and Outcomes in Time Series Forecasting
    Authors: Aqil, K.H., Dumpuri, P., Ram, K., Sivaprakasam, M.
    Journal: Intelligence-Based Medicine, 2024.
  • Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields
    Authors: Aqil, K.H., Kulkarni, T., Jayakumar, J., Ram, K., Sivaprakasam, M.
    Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023.
  • Learning to Atlas Register for Rapid Segmentation of Brain Structures in Fetal MRI
    Authors: Kulkarni, T., Aqil, K.H., Jayakumar, J., Ram, K., Sivaprakasam, M.
    Journal: Progress in Biomedical Optics and Imaging – Proceedings of SPIE, 2023.

BALASUBRAMANI MANICKAM | Engineering | Best Researcher Award

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Mr. BALASUBRAMANI MANICKAM | Engineering | Best Researcher Award

V.S.B. ENGINEERING COLLEGE-India

Author Profile

Early Academic Pursuits 🎓

M. Balasubramani embarked on his academic journey with a foundational commitment to engineering, demonstrating excellence early on. He completed his Bachelor of Engineering (B.E) in 2006 from Priyadarshini Engineering College, where he earned First Class honors with a commendable 69%. His pursuit of higher education continued at Dr. M.G.R Educational and Research Institute, where he pursued a Master of Technology (M.Tech) degree, graduating in 2011 with an impressive 8.92% and securing First Class with Distinction. This educational background provided a solid base for his subsequent professional career.

Professional Endeavors 🚀

Balasubramani’s professional journey began in the industry, where he worked as a Software Developer at NATELSOFT from June 2006 to April 2009. This role allowed him to gain valuable industry experience and practical skills. Transitioning to academia, he took on the role of Assistant Professor at Bharathidasan Engineering College in June 2011, where he contributed significantly until December 2022. His expertise and dedication were evident as he transitioned to his current position as Assistant Professor at V.S.B. Engineering College on December 26, 2022. Throughout his career, Balasubramani has demonstrated a strong commitment to teaching, research, and professional development.

Contributions and Research Focus 🔍

Balasubramani’s research interests are diverse, focusing on emerging technologies and their applications. His involvement in various FDPs, workshops, and seminars highlights his dedication to staying abreast of the latest developments in his field. Notable activities include conducting workshops on DevOps and AWS, Cloud Infrastructure, and Blockchain Technology. His contributions to these areas reflect his commitment to advancing knowledge and fostering innovation in computer science and engineering. Balasubramani’s focus on integrating recent trends in Artificial Intelligence and Business Analytics into his teaching demonstrates his proactive approach to education and research.

Accolades and Recognition 🏆

Throughout his career, Balasubramani has been recognized for his contributions to the field of engineering education. His academic performance, particularly his distinction in the M.Tech program, is a testament to his dedication and expertise. His role in organizing and participating in professional development activities further underscores his commitment to the field. By continually updating his skills and knowledge, Balasubramani has earned respect and recognition from peers and students alike.

Impact and Influence 🌟

Balasubramani’s impact extends beyond the classroom. His involvement in a wide range of FDPs and workshops has influenced many students and professionals. By teaching advanced topics such as Python Programming with Django, Cloud Infrastructure, and Data Science, he is shaping the next generation of engineers. His practical approach to integrating industry-relevant skills into his curriculum ensures that his students are well-prepared for the evolving technological landscape. Balasubramani’s work in advancing industry insights and emerging technologies is instrumental in bridging the gap between academia and industry.

Legacy and Future Contributions 🔮

As an Associate Professor with a strong background in both industry and academia, Balasubramani is well-positioned to leave a lasting legacy in engineering education. His future contributions will likely continue to focus on integrating cutting-edge technologies into his teaching and research. By fostering a learning environment that emphasizes practical skills and emerging trends, Balasubramani is poised to make significant contributions to the field. His ongoing engagement with professional development and his commitment to advancing knowledge ensure that he will continue to influence and inspire future engineers.In summary, M. Balasubramani’s career reflects a blend of academic excellence, professional expertise, and a proactive approach to education. His contributions to teaching and research, along with his commitment to professional development, position him as a key figure in the field of engineering. His future endeavors will undoubtedly continue to impact and shape the landscape of engineering education.

Notable Publications 

  • Reinforcement Learning for Optimizing Real-Time Interventions and Personalized Feedback Using Wearable Sensors
    • Authors: J Tripathy, M Balasubramani, VA Rajan, S Vimalathithan, A Aeron, …
    • Journal: Measurement: Sensors
    • Volume: 33
    • Article Number: 101151
    • Year: 2024.
  • Advancing Personalized Human-Robot Interaction in the Smart World Through Emotional AI in Entertainment Robots
    • Authors: Y Aoudni, M Balasubramani, K Natarajan, RS Sabeenian, VS Rao, …
    • Journal: Entertainment Computing
    • Volume: 52
    • Article Number: 100770
    • Year: 2025.
  • Twitter Spam Drift Detection by Semi-Supervised Learning Approach Using YATSI Algorithm
    • Authors: P Sivakumar, M Balasubramani, R Sowndharya, BSD Priya, WD Priya, …
    • Journal: International Journal of System Assurance Engineering and Management
    • Pages: 1-9
    • Year: 2024.
  • An Efficient Ranking-Based Binary Salp Swarm Optimization for Feature Selection in High Dimensional Datasets
    • Authors: S Jayachitra, M Balasubramani, AM Kaleem, J Karthik, G Keerthiga, …
    • Journal: Measurement: Sensors
    • Article Number: 101291
    • Year: 2024.
  • Teaching in the Age of AI: Strategies for Integrating Artificial Intelligence
    • Authors: M Balasubramani.

Anupam Agrawal | Mechanical Engineering | Best Researcher Award

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Prof. Anupam Agrawal | Mechanical Engineering | Best Researcher Award

Indian Institute of Technology Ropar-india

Author Profile

Early Academic Pursuits 🎓

Dr. Anupam Agrawal’s journey in the realm of Mechanical Engineering began with his foundational education in India. He earned his Bachelor of Engineering (B.E.) in Mechanical Engineering from M.M.M. Engineering College, Gorakhpur, U.P., in 2000. Following this, Dr. Agrawal pursued a Master of Technology (M.Tech.) in Mechanical Engineering with a specialization in Manufacturing Systems Engineering from the Indian Institute of Technology (IIT) Kharagpur, graduating in 2002. His pursuit of knowledge and excellence led him to the Indian Institute of Technology (IIT) Kanpur, where he completed his Ph.D. in Mechanical Engineering in 2008. During his doctoral research, he focused on innovative manufacturing processes, laying the groundwork for his future contributions to the field.

Professional Endeavors 🌟

Dr. Agrawal’s professional career has been marked by a series of significant roles and achievements. He is currently a Professor in the Department of Mechanical Engineering at IIT Ropar, where he has been a pivotal figure since August 2024. Prior to this, he served as an Associate Professor at IIT Ropar from December 2015 to August 2024 and as an Assistant Professor from December 2010 to December 2015. His academic journey also includes a role as a Visiting Faculty at IIT Ropar and postdoctoral research at the International Center for Automotive Research (ICAR), Clemson University, USA, focusing on hybrid manufacturing processes.In addition to his academic roles, Dr. Agrawal has contributed significantly through his work as a Visiting Scholar at Northwestern University, USA, where he analyzed and experimented with Single Point Incremental Metal Forming Processes. His international experience and research have enriched his perspective and expertise in the field.

Contributions and Research Focus 🔬

Dr. Agrawal’s research interests are diverse and impactful. His areas of expertise include Sheet Metal Forming, Dieless Forming, Incremental Sheet Forming, Deformation Machining, Micro-Electric Discharge Machining, Laser Machining, and Additive Manufacturing. His work in these areas aims to push the boundaries of manufacturing technology and improve the precision and efficiency of various processes.One of his notable projects involves the study of new forming techniques at both macro and micro scales, which has been supported by external funding from IIT Ropar. Additionally, he has made significant strides in Deformation Machining and biocompatible metallic implants, reflecting his commitment to advancing both practical and theoretical aspects of mechanical engineering.Dr. Agrawal has also been instrumental in developing new approaches for micro-incremental sheet forming and enhancing accuracy through artificial intelligence techniques, demonstrating his innovative approach to solving complex engineering problems.

Accolades and Recognition 🏆

Dr. Agrawal’s academic excellence is evident from his impressive performance in the Graduate Aptitude Test in Engineering (GATE) 2000, where he scored in the 98.74 percentile and secured an All India Rank of 132. His contributions to mechanical engineering have been recognized through various roles, including serving as an Associate Editor for SADHANA, the journal of the Indian Academy of Sciences, since October 2013. He is also a member of the American Society of Mechanical Engineers (ASME) and a reviewer for several prestigious journals, reflecting his standing in the academic community.

Impact and Influence 🌍

Dr. Agrawal’s impact extends beyond academia into practical applications. His research in incremental forming processes and additive manufacturing has influenced industry practices and contributed to advancements in manufacturing technologies. His work on enhancing the accuracy of roboforming and developing micro-manufacturing techniques has potential applications in various industries, including aerospace, automotive, and biomedical engineering.His leadership in establishing and revamping laboratories at IIT Ropar, such as the Advanced Manufacturing Technology Laboratory and the Micromachining Lab, has provided essential resources for cutting-edge research and development in mechanical engineering.

Legacy and Future Contributions 🚀

Dr. Agrawal’s legacy is one of innovation and dedication to advancing mechanical engineering. His contributions have paved the way for future research in manufacturing processes and have influenced both academic and industrial practices. Looking ahead, his focus on developing new manufacturing techniques and exploring the integration of artificial intelligence in engineering processes promises to shape the future of the field.As he continues to mentor Ph.D. students and guide research projects, Dr. Agrawal’s influence is expected to grow, inspiring the next generation of engineers and researchers. His ongoing projects, including those focused on incremental forming and hybrid manufacturing processes, are likely to yield significant advancements and further his impact on the field.In summary, Dr. Anupam Agrawal’s career is characterized by a commitment to excellence, innovation, and a profound influence on the field of mechanical engineering. His work continues to inspire and advance the boundaries of technology, making significant contributions to both academia and industry.

Citations

A total of 1070 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        1070
  • h-index           80
  • i10-index        15

Notable Publications 

  • Enhancing formability in Micro-Incremental sheet forming by a novel stacking method of ultra-thin sheets
    Pal, M., Agrawal, A., Nirala, C.K.
    Manufacturing Letters, 2024.
  • Surface quality enhancement of warm incremental forming process using solid lubricant with varying etching period
    Kumar, N., Upadhyay, R.K., Sharma, C.S., Agrawal, A.
    Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2024.
  • Fabrication of drug-loaded graded porous Ti6Al4V structures for load-bearing biomedical applications
    Singh, M., Gill, A.S., Deol, P.K., Agrawal, A.
    Journal of Materials Research, 2024.
  • Bio-corrosion susceptibility of surface voids and pores in microwave sintered Ti-HAp based bio-composites
    Kumar, R., Agrawal, A.
    Materials Letters, 2024.
  • Adjustable link twist angle coupling for reconfigurable manipulator
    Kushwaha, A.K., Singla, E., Agrawal, A.
    Indian Journal of Engineering and Materials Sciences, 2024.

Preeti | Artificial intelligence | Best Researcher Award

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Ms. Preeti | Artificial intelligence | Best Researcher Award

IITM janakpuri, India

Author Profile

Early Academic Pursuits 🏅

Preeti’s journey in the realm of computer science began with her pursuit of a B.Tech in Computer Science Engineering (CSE). Her dedication and academic prowess were evident early on, as she excelled in her studies, earning the title of overall college topper. Her achievements during this time were not just limited to academic excellence; she also held the position of Academic Deputy Leader, which demonstrated her leadership skills and commitment to her peers. Preeti’s outstanding performance in her undergraduate studies earned her the prestigious Golden Eagle Award, accompanied by a cash prize, and an appreciation letter for her role as an academic deputy leader. These accolades reflect her unwavering dedication to her field and her potential for future success.

Professional Endeavors 🧑‍🏫

After completing her B.Tech, Preeti advanced her academic journey with an M.Tech in Computer Science Engineering, further solidifying her foundation in the field. Her specialization in Machine Learning, with a focus on Deep Learning, has equipped her with the skills and knowledge to tackle complex challenges in the world of artificial intelligence. In January 2024, she joined the Institute of Information Technology and Management as an Assistant Professor in the Computer Science department. Although she is relatively new to the role, with six months of experience, her passion for teaching and research has already made a significant impact on her students and colleagues.Preeti is currently pursuing a Ph.D. in Computer Science and Engineering from Maharishi Dayanand University, Rohtak, which is a testament to her commitment to continuous learning and academic growth. Her research interests lie in the rapidly evolving field of Machine Learning, particularly in Deep Learning, where she aims to contribute to the development of innovative solutions and applications.

Contributions and Research Focus 📊

Preeti’s research focuses on the dynamic and transformative field of Machine Learning, with a particular emphasis on Deep Learning. This subdivision of Machine Learning has gained significant attention in recent years due to its potential to revolutionize industries ranging from healthcare to finance. Preeti’s work in this area aims to explore new methodologies, optimize existing algorithms, and apply these techniques to real-world problems. Her goal is to push the boundaries of what is possible in artificial intelligence, contributing to the advancement of technology and the betterment of society.In addition to her research, Preeti has been actively involved in various academic and professional development activities. She has attended several Faculty Development Programs (FDPs), including sessions on Artificial Intelligence for beginners, orientation on the National Education Policy (NEP), and workshops on Research Methodology and Project Work Guidance. These programs have not only enhanced her skills but have also enabled her to bring fresh perspectives to her teaching and research.

Accolades and Recognition 🏆

Preeti’s academic achievements have been recognized through various awards and certifications. As an undergraduate, she was not only the overall college topper but also received an appreciation letter and the Golden Eagle Award, underscoring her exceptional academic performance. Her success did not stop there; she went on to qualify for the UGC NET exam in Computer Science Engineering in November 2020, a national-level examination that serves as a testament to her expertise in the field. Additionally, she cleared the state-level HTET PGT Computer Science Engineering exam in 2021, further highlighting her proficiency and readiness to contribute to the educational sector.Preeti’s dedication to learning and professional development is also evident through her participation in online courses and workshops. She received a certification from NITTR for completing an online course on MATLAB and Simulink for Beginners, which demonstrates her commitment to staying updated with the latest tools and technologies in her field. Her participation in a one-week interdisciplinary workshop on Research Methodology in June 2022 is another example of her ongoing efforts to refine her research skills and methodologies.

Impact and Influence 🌟

Despite her relatively short tenure as an Assistant Professor, Preeti has already started to make a significant impact in her department and among her students. Her deep understanding of Machine Learning and her ability to convey complex concepts in an accessible manner have made her a valuable asset to the Institute of Information Technology and Management. She is known for her innovative teaching methods, which encourage students to think critically and creatively. Her influence extends beyond the classroom as she actively mentors students, guiding them in their academic and research endeavors.Preeti’s work in Machine Learning, particularly in Deep Learning, has the potential to influence future technological advancements. Her research is geared toward solving real-world problems, and as she continues to publish and share her findings, she is expected to contribute significantly to the body of knowledge in her field. Her students, who benefit from her expertise and mentorship, are likely to carry forward her teachings and make their own contributions to the world of technology.

Legacy and Future Contributions 🚀

Looking ahead, Preeti’s legacy is poised to be one of innovation, dedication, and academic excellence. As she progresses in her Ph.D. and continues her research in Deep Learning, she is likely to uncover new insights and develop cutting-edge technologies that will shape the future of Machine Learning. Her contributions to education, particularly in mentoring the next generation of computer scientists, will leave a lasting impact on her students and the academic community.Preeti’s future contributions are not limited to her research and teaching; she is also expected to play a significant role in the broader academic and professional community. As she continues to attend conferences, participate in workshops, and collaborate with other experts in her field, she will help to drive forward the conversation on the applications and implications of artificial intelligence. Her work will likely inspire future researchers and practitioners to explore new frontiers in Machine Learning and contribute to the ongoing evolution of the field.In conclusion, Preeti’s journey in the field of Computer Science is marked by academic excellence, professional achievements, and a commitment to continuous learning. Her contributions to Machine Learning, particularly Deep Learning, have the potential to make a lasting impact on the field and beyond. As she continues to grow in her career, she is sure to leave a legacy that will inspire and influence future generations of computer scientists and engineers.

 Notable Publications 
  • Title: IoT and Cloud Based Health Monitoring System Using Machine Learning
    Author: Preeti
    Journal: 2022 5th International Conference on Contemporary Computing and Informatics
    Year: 2022
  • Title: Artificial Intelligence Based Object Detection and Traffic Prediction by Autonomous Vehicles–A Review
    Authors: P. Sharma, C. Rana
    Journal: Expert Systems with Applications
    Year: 2022
  • Title: A Machine Learning Based Health Monitoring System Based On IoT
    Author: Preeti
    Journal: Emerging Trends in Engineering, Science and Management
    Year: 2022
  • Title: Cloud Computing Security Issues: A Systematic Literature Review
    Author: Preeti
    Journal: Sustainable Development: Innovations and Challenges
    Year: 2022
  • Title: Integration of Multilayer Security on Cloud Server
    Author: Preeti
    Journal: International Journal of Engineering Technology and Computer Research
    Year: 2022.

Fatheali Shilar | Engineering | Best Researcher Award

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Mr. Fatheali Shilar | Engineering | Best Researcher Award

IIT, India

Author Profile

🌟 Early Academic Pursuits

Fatheali A. Shilar’s academic journey in the field of civil engineering is marked by dedication and a commitment to excellence. He embarked on his educational path by pursuing a Bachelor of Engineering (B.E.) in Civil Engineering from Visvesvaraya Technological University, KLE Institute of Technology, Hubballi, Karnataka, where he studied from August 2010 to June 2014. During his undergraduate years, he laid a solid foundation in civil engineering principles, which later propelled him into advanced studies.His thirst for knowledge and passion for construction technology led him to pursue a Master of Technology (M-Tech) in Construction Technology at the same university, Jain College of Engineering, Belagavi, Karnataka. From September 2014 to June 2016, Fatheali deepened his understanding of construction methodologies, project management, and advanced engineering concepts. This advanced degree not only honed his technical skills but also prepared him for the professional challenges that lay ahead.

🛠️ Professional Endeavors

Fatheali A. Shilar’s professional journey is distinguished by a series of significant roles in academia. His career began as a Lecturer at Oxford Polytechnic College, Hubballi, Karnataka, in August 2014. This initial role provided him with the opportunity to impart knowledge to aspiring engineers and fostered his passion for teaching.In July 2016, he transitioned to the role of Assistant Professor at KLE-Technological University, Hubballi, Karnataka. Over the course of five years, until September 2021, Fatheali contributed significantly to the academic community by teaching, mentoring, and guiding students in various civil engineering subjects. His expertise in Construction Project Management, Advanced Project Management, and Horizontal and Vertical Construction Methods was instrumental in shaping the next generation of engineers.Continuing his academic journey, Fatheali joined Jain College of Engineering and Technology, Belagavi, Karnataka, as an Assistant Professor in December 2021. During his tenure, which lasted until 2023, he played a pivotal role in curriculum development, teaching innovation, and research coordination. His contributions to the civil engineering department were marked by a commitment to excellence and a drive to continuously improve the academic experience for his students.

🔬 Contributions and Research Focus

Fatheali A. Shilar’s contributions to the field of civil engineering extend beyond teaching. He has been actively involved in research, particularly in the areas of Construction Project Management, Advanced Construction Techniques, and Software Applications in Construction. His research has focused on developing innovative solutions to challenges in construction management, as well as enhancing the educational experience through curriculum design and the introduction of new teaching methodologies.He has guided numerous Mini Projects, Minor Projects, Capstone Projects, and Internships at both the undergraduate and postgraduate levels. His guidance has helped students develop practical skills and apply theoretical knowledge to real-world construction challenges. Fatheali’s dedication to student success is evident in his role as a mentor and coordinator for research and development within the civil engineering department.

🏆 Accolades and Recognition

Throughout his career, Fatheali A. Shilar has received recognition for his contributions to academia. His role as a Lesson Plan Coordinator at the university level, as well as his involvement in ISO coordination and departmental meetings, highlights his leadership abilities and his commitment to maintaining high academic standards.He has also been instrumental in organizing seminars, webinars, technical talks, and PDF presentations, serving as a coordinator, advisory board member, and committee member. His work in this area has provided students and faculty with valuable opportunities for professional development and knowledge exchange.Fatheali’s expertise in AutoCAD, E-tab MS Project, Primavera, and other software tools has also earned him recognition as a skilled professional in construction technology. His contributions to teaching innovation, such as the introduction of Course Projects and Open-ended Experiments, have further cemented his reputation as a forward-thinking educator.

🌍 Impact and Influence

Fatheali A. Shilar’s impact on the academic community extends beyond his immediate teaching responsibilities. He has been actively involved in the design and implementation of curriculum in the construction management vertical program at KLE-Tech University, Hubballi. His efforts have resulted in a more comprehensive and practical educational experience for students, equipping them with the skills needed to succeed in the ever-evolving field of construction engineering.His role in setting question papers, evaluating exams, and contributing to the academic quality assurance processes at Visvesvaraya Technological University and KLE-Technological University underscores his commitment to academic excellence. Fatheali’s influence as an educator and mentor has had a lasting impact on the students he has taught and guided throughout his career.

🚀 Legacy and Future Contributions

As Fatheali A. Shilar continues his professional journey, his legacy as an educator, researcher, and mentor will undoubtedly continue to grow. His dedication to improving the academic experience for his students, combined with his passion for research and innovation in construction technology, positions him as a leading figure in civil engineering education.Looking ahead, Fatheali is poised to make further contributions to the field through his ongoing research and teaching activities. His ability to adapt to new challenges and embrace new technologies ensures that he will remain at the forefront of civil engineering education, inspiring future generations of engineers to achieve their full potential.In summary, Fatheali A. Shilar’s career is characterized by a relentless pursuit of academic excellence, a commitment to student success, and a passion for advancing the field of civil engineering. His contributions have left a lasting impact on the academic institutions he has been a part of, and his influence will continue to shape the future of civil engineering education for years to come.

Citations

A total of 380 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         380
  • h-index           14
  • i10-index        11

Notable Publications 

  • Title: “A comprehensive review on the strength, durability, and microstructural analysis of bacterial concrete”
    Authors: Shilar, F.A., Ganachari, S.V., Patil, V.B.
    Journal: Structures
    Year: 2024.
  • Title: “Exploring the Potential of Promising Sensor Technologies for Concrete Structural Health Monitoring”
    Authors: Shilar, F.A., Ganachari, S.V., Patil, V.B., Saddique Shaik, A., Azam Ali, M.
    Journal: Materials
    Year: 2024.
  • Title: “A comprehensive investigation of green solutions for sustainable wastewater remediation: A review”
    Authors: Hublikar, L.V., Shilar, F.A., Suliphuldevara Mathada, B., Ganachari, S.V.
    Journal: Journal of Molecular Liquids
    Year: 2024.
  • Title: “A review of 3D printing of geopolymer composites for structural and functional applications”
    Authors: Shilar, F.A., Ganachari, S.V., Patil, V.B., Yunus Khan, T.M., Almakayeel, N.
    Journal: Construction and Building Materials
    Year: 2023.
  • Title: “Development and optimization of an eco-friendly geopolymer brick production process for sustainable masonry construction”
    Authors: Shilar, F.A., Ganachari, S.V., Patil, V.B., Almakayeel, N., Yunus Khan, T.M.
    Journal: Case Studies in Construction Materials
    Year: 2023.

SANTHOSH KUMAR BUDDEPU | Engineering | Best Researcher Award

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Mr. SANTHOSH KUMAR BUDDEPU | Engineering | Best Researcher Award

AMRITA VISHWA VIDYAPEETHAM, AMARAVATI -India

Author Profile

📚 Early Academic Pursuits

Santhosh Kumar Buddepu’s journey in academia began with a strong foundation in the sciences. His early academic achievements are marked by exceptional performance, starting with his 10th standard education at ZPHS, Siripuram, where he secured a First Class with an impressive 92.8%. This solidified his path towards higher education in the technical field. Continuing his pursuit of excellence, Santhosh completed his Intermediate education with a First Class (94.8%) from Sri Chaitanya Junior College in 2006, specializing in Mathematics, Physics, and Chemistry (MPC).Santhosh’s commitment to the field of Electronics and Communication Engineering became evident during his undergraduate studies at JNTUK, Kakinada. He earned a B.Tech degree with Distinction, achieving a commendable 72.88%. His academic prowess did not go unnoticed, and he pursued his M.Tech in Digital Electronics and Communication Systems (DECS) at JNTUK, Kakinada, where he graduated with Distinction (80.8%) in 2013.Santhosh’s thirst for knowledge and his passion for research led him to pursue a Ph.D. in Signal and Image Processing at the prestigious National Institute of Technology (NIT), Rourkela, Odisha. His doctoral research focused on the application of machine learning and deep learning techniques for subsurface object detection and classification, showcasing his dedication to advancing the field.

🧑‍🏫 Professional Endeavors

Santhosh Kumar Buddepu’s professional journey is characterized by his commitment to teaching and research. With over six years of teaching experience, he has contributed significantly to the academic growth of several institutions in Andhra Pradesh. His career as an Assistant Professor began at Sri Venkateswara College of Engineering & Technology in May 2010, where he served until November 2011. He then joined Shri Vishnu Engineering College for Women, where he continued to impart knowledge and mentor students from December 2013 to May 2015.Santhosh’s dedication to education and his desire to foster innovation in engineering students led him to join Lakireddy Bali Reddy College of Engineering, where he served as an Assistant Professor from June 2015 to October 2016. His expertise in signal and image processing, combined with his ability to inspire students, made him a valuable asset to these institutions. His final teaching tenure was at GMR Institute of Technology, where he contributed from November 2016 to July 2019.

🛠️ Contributions and Research Focus

Santhosh Kumar Buddepu’s research interests are primarily centered on Signal and Image Processing, with a particular focus on Machine and Deep Intelligence. His Ph.D. research, titled “Subsurface Object Detection and Classification using Machine/Deep Intelligence Algorithms,” is a testament to his expertise in this field. The research aimed to enhance the accuracy and efficiency of subsurface object detection, with a specific focus on improving ground-penetrating radar (GPR) data interpretation.Santhosh’s work involved the development and implementation of deep learning-based algorithms for clutter removal and feature extraction in GPR data. These advancements significantly improved the clarity and quality of GPR scans, making it easier to detect and classify subsurface objects, including landmines and unexploded ordnance (UXO). His research demonstrated strong potential for practical applications in areas such as landmine detection, contributing to safer environments in affected regions.In addition to his Ph.D. research, Santhosh has undertaken various academic projects throughout his career. His M.Tech project, “A Joint Encryption and Watermarking System for Verifying the Reliability of Images,” combined chaotic mapping, encryption algorithms, and watermarking techniques to protect the integrity of images. His B.Tech project, “FPGA Based Design and Implementation of Non-Sinusoidal Reactive Power,” showcased his expertise in FPGA design, highlighting his skills in synthesis, mapping, and functional verification.

🏆 Accolades and Recognition

Santhosh Kumar Buddepu’s dedication to research and teaching has earned him recognition in the academic community. His doctoral research at NIT Rourkela, focusing on subsurface object detection, has been well-received for its innovative approach and practical applications. His contributions to the field of Signal and Image Processing have solidified his reputation as a knowledgeable and passionate educator and researcher.

🌍 Impact and Influence

Santhosh’s work has had a significant impact on the field of subsurface object detection, particularly in the area of landmine and UXO detection. The deep learning algorithms he developed have the potential to save lives by improving the accuracy and reliability of GPR data interpretation. His research has paved the way for further advancements in this critical field, influencing future studies and applications in both academia and industry.In addition to his research contributions, Santhosh has influenced countless students through his teaching. His ability to simplify complex concepts and foster a passion for learning has left a lasting impact on his students, many of whom have gone on to pursue successful careers in engineering and technology.

🏅 Legacy and Future Contributions

As Santhosh Kumar Buddepu continues his academic and research journey, his legacy as a dedicated educator and innovative researcher is firmly established. His work in Signal and Image Processing, particularly in the application of machine and deep learning techniques, will continue to influence future research and practical applications in various fields.Looking ahead, Santhosh aims to further explore the intersection of artificial intelligence and engineering, with a focus on developing cutting-edge technologies that address real-world challenges. His commitment to advancing knowledge and his passion for teaching will undoubtedly lead to further contributions to the academic community and beyond.In conclusion, Santhosh Kumar Buddepu’s career is a testament to his dedication, innovation, and impact in the fields of engineering and education. His work continues to inspire and influence, leaving a lasting legacy for future generations of engineers and researchers.

Citations

A total of 8 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         8
  • h-index           5
  • i10-index        2

Notable Publications

  • Title: Enhancing Subsurface Exploration: A Comprehensive Review of Advanced Clutter Removal Techniques for Ground Penetrating Radar Imaging
    Authors: B.S. Kumar, S. Baraha, A.K. Sahoo, S. Maiti
    Journal: Measurement: Journal of the International Measurement Confederation
    Year: 2025.
  • Title: Integrated Feature Investigation and Classification Methods for Discrimination of Subsurface Objects in GPR Imagery
    Authors: B.S. Kumar, A.K. Sahoo, S. Maiti
    Journal: IEEE Sensors Journal
    Year: 2024.
  • Title: Clutter and Random Noise Elimination Based on Eigen Images and Curvelet Transform
    Authors: B.S. Kumar, A.K. Sahoo, S. Maiti
    Conference: 3rd International Conference on Range Technology, ICORT 2023
    Year: 2023.
  • Title: A Practical GPR Imaging Scheme for Buried Objects
    Authors: S. Tarai, S.L. Panda, B.S. Kumar, A.K. Sahoo, S. Maiti
    Conference: 2021 IEEE MTT-S International Microwave and RF Conference, IMARC 2021
    Year: 2021.
  • Title: Removal of Clutter and Random Noise for GPR Images
    Authors: B.S. Kumar, A.K. Sahoo, S. Maiti
    Conference: Proceedings of the 2021 IEEE 18th India Council International Conference, INDICON 2021
    Year: 2021.