RAJEASHWARI. S | Deep Learning | Best Researcher Award

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Mrs. RAJEASHWARI. S | Deep Learning | Best Researcher Award

SRI S. RAMASAMY NAIDU MEMORIAL COLLEGE, India

Author Profile

Early Academic Pursuits 🎓📖

Rajeswari S. has consistently demonstrated a deep passion for the field of Computer Science, as evident in her academic journey that began with her undergraduate studies in 2004. She earned a degree in Computer Science from a Deemed University, securing an impressive 75.6% and setting the foundation for her career in technology and education. Her dedication continued through her postgraduate studies at Anna University, where she achieved a commendable 73% in Computer Science in 2007.

Her academic curiosity led her to pursue an M.Phil. in Computer Science at Vinayaka Missions University in 2009, attaining a respectable 61.75%. Her dissertation, titled “Analysis of Medical Image Segmentation Using Fuzzy Hopfield Neural Network and Competitive Hopfield Neural Network,” reflects her interest in innovative computational methodologies. Currently, she is pursuing a Ph.D. in Computer Science from Madurai Kamaraj University, furthering her expertise and research capabilities in this ever-evolving field.

Professional Endeavors 💼👩‍🏫

Rajeswari has built a robust teaching career, marked by impactful roles at esteemed institutions. She began her professional journey as an Assistant Professor at K.R. College of Arts & Science, Kovilpatti, from June 2008 to June 2010. During this period, she nurtured budding technologists with her insightful teaching and dedication.

In 2016, she joined Sri Krishnasamy Arts and Science College, Sattur, where she served until April 2021. Her tenure was characterized by her ability to blend theoretical concepts with practical applications, making complex topics accessible to her students. Her teaching not only enriched the academic environment but also inspired many to explore advanced areas of Computer Science.

Contributions and Research Focus 🧠🔬

Rajeswari’s research interests are deeply rooted in computational intelligence and its applications. Her M.Phil. dissertation delves into advanced image processing techniques, specifically medical image segmentation. By employing Fuzzy Hopfield Neural Network and Competitive Hopfield Neural Network, she contributed to the development of more accurate and efficient methods for medical diagnostics, showcasing her commitment to impactful research.

Her ongoing Ph.D. studies aim to expand this work, likely exploring cutting-edge technologies such as Artificial Intelligence (AI), Machine Learning (ML), and their intersections with image processing. Her research holds the potential to contribute to the fields of healthcare, diagnostics, and data analysis, addressing critical challenges with innovative solutions.

Accolades and Recognition 🏆🌟

Throughout her academic and professional career, Rajeswari has earned recognition for her dedication and contributions. While specific accolades are not listed, her ability to consistently secure teaching positions and handle complex research topics speaks volumes about her reputation in the academic community. She is undoubtedly appreciated for her commitment to quality education and her efforts to advance knowledge in her field.

Impact and Influence 🌍✨

Rajeswari’s influence extends beyond the classroom. As an educator, she has empowered countless students with the skills and knowledge necessary to thrive in the tech industry. Her research work, particularly in medical image segmentation, has the potential to make significant contributions to healthcare by improving diagnostic accuracy and efficiency.

Her dual role as a teacher and researcher positions her as a bridge between theoretical knowledge and practical applications, fostering a deeper understanding of computer science’s capabilities and limitations.

Legacy and Future Contributions 🌟🔮

Looking forward, Rajeswari is poised to leave a lasting legacy in both academia and research. Her ongoing Ph.D. studies and prior achievements suggest a future filled with innovative contributions to technology and education. As she continues to explore the realms of AI and neural networks, her work will likely influence emerging technologies and inspire new generations of researchers.

In the classroom, her commitment to nurturing talent ensures that her influence will echo through the achievements of her students. Meanwhile, her research endeavors promise to address pressing challenges, particularly in healthcare and data processing, cementing her position as a thought leader in her field.

Notable Publications 

  • Title: An Enhanced Learning Model Based on an Improved Random Forest Classifier and an Integrated Attribute Selector for Healthcare Datasets
    Authors: Rajeswari, S., Arunesh, K.
    Journal: Communications in Computer and Information Science
    Year: 2025.
  • Title: Enhancing pneumonia diagnosis with ensemble-modified classifier and transfer learning in deep-CNN based classification of chest radiographs
    Authors: Rajeswari, S., Arunesh, K.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.
  • Title: Chronic disease prediction with deep convolution based modified extreme-random forest classifier
    Authors: Rajeswari, S., Arunesh, K.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.
  • Title: Chronic disease diagnosis and classification using data mining approaches – a comprehensive review
    Authors: Rajeswari, S., Arunesh, K.
    Conference Proceedings: AIP Conference Proceedings
    Year: 2023.
  • Title: Highly Correlated Linear Discriminant Analysis for Dimensionality Reduction and Classification in Healthcare Datasets
    Authors: Rajeswari, S., Arunesh, K.
    Conference Proceedings: Lecture Notes in Networks and Systems
    Year: 2023.

Ranjeet Kumar Pathak | Machine Learning | Excellence in Scientific Research Award

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Dr. Ranjeet Kumar Pathak | Machine Learning | Excellence in Scientific Research Award

Sandip Institute of Technology & Research Centre, Nashik, Maharashtra-India

Author Profile

🌱 Early Academic Pursuits

Dr. Ranjeet Pathak’s academic journey is a testament to his dedication and perseverance. Starting from a humble background, he displayed an early inclination towards science and technology. Completing his High School from National Inter College, Fatehpur, with an impressive 73.50%, and Intermediate from R.R. Inter College Hardoi with 63.40%, Dr. Pathak laid a solid foundation for his future endeavors.

He pursued a B.Tech in Electronics and Instrumentation at Skyline Institute of Engineering & Technology, affiliated with UPTU, Lucknow. Graduating in 2008 with 65.72%, he cultivated a keen interest in electronics and instrumentation systems. His thirst for advanced knowledge led him to pursue an M.Tech in Power Electronics & ASIC Design at the prestigious MNNIT, Allahabad, where he excelled with a 7.2 CPI.

Crowning his academic achievements, Dr. Pathak completed his Ph.D. in Electronics and Communication Engineering at Amity University, Lucknow, in 2024 with an impressive 8.00 SGPA. His doctoral work exemplifies his passion for innovative research in cutting-edge fields of engineering.

💼 Professional Endeavors

Dr. Pathak’s professional journey reflects his commitment to nurturing future engineers and advancing technological research.

  • He began his career as an Assistant Professor in the ECE Department at United Institute of Technology, Prayagraj, where he served from February 2010 to September 2022. During this tenure, he contributed to the academic growth of students, focusing on core electronics subjects.
  • Transitioning to the CSE Department at United College of Engineering and Research, Prayagraj, in 2022, he diversified his expertise by teaching advanced computing subjects. His tenure here lasted until July 2024.
  • Currently, Dr. Pathak is imparting knowledge and conducting research as an Assistant Professor in the E&TC Department at Sandip Institute of Technology and Research Center, Nashik, Maharashtra, where he has been serving since October 2024.

🔬 Contributions and Research Focus

Dr. Pathak’s research interests span a wide array of interdisciplinary topics, including:

  • Deep Learning for Medical Data: His training with Finland Labs highlights his commitment to leveraging AI for healthcare.
  • Machine Learning with Python: Completing a course from IBM enhanced his skills in computational modeling, enabling him to contribute to AI-driven solutions in engineering.
  • Power Electronics & ASIC Design: His M.Tech specialization underscores his expertise in developing energy-efficient systems and specialized hardware designs.

His innovative research during his Ph.D. has paved the way for practical applications in electronics and communication, contributing to advancements in fields such as IoT, robotics, and signal processing.

🏆 Accolades and Recognition

Dr. Pathak’s dedication has earned him recognition as a versatile academic and researcher:

  • Successfully trained in Deep Learning for Medical Data, positioning him at the forefront of healthcare innovation.
  • Certification in Machine Learning with Python from IBM, showcasing his ability to implement AI-driven methodologies in solving complex problems.
  • His extensive teaching career spanning over a decade has earned him accolades from students and peers for his impactful mentorship.

🌟 Impact and Influence

Dr. Pathak’s teaching and research have influenced countless students, fostering their understanding of both theoretical and applied aspects of engineering. His ability to integrate emerging technologies into traditional engineering curricula ensures students are well-equipped to meet industry demands.

As a passionate educator, he has emphasized the importance of interdisciplinary learning, motivating students to explore fields such as artificial intelligence, renewable energy, and embedded systems.

🛠️ Legacy and Future Contributions

Looking ahead, Dr. Pathak envisions further expanding his contributions to academia and industry:

  • Pioneering Research: He aims to delve deeper into AI applications in electronics and renewable energy systems, addressing global challenges like sustainability and efficient energy utilization.
  • Mentorship: Dr. Pathak plans to mentor budding researchers, guiding them to make meaningful contributions in engineering and technology.
  • Collaborations: Establishing collaborations with international universities and research organizations, he seeks to create impactful projects that blend innovation with practical applications.

🌍 A Legacy of Excellence

Dr. Ranjeet Pathak’s journey from a determined student to a respected educator and researcher is an inspiration for aspiring engineers. His unwavering commitment to advancing knowledge and empowering students ensures his legacy will continue to inspire future generations. With his unique blend of expertise, passion, and vision, Dr. Pathak stands as a beacon of excellence in the field of engineering education.

🌟 “Engineering is not just a profession but a mission to innovate, educate, and transform lives.” 🌟

Citations

A total of 06 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        06
  • h-index          06
  • i10-index       02

Notable Publications 

  • Title: A Two-Stage Detection Methodology for Thyroid Cancer Using Photonic Crystal: Logistic Regression and Artificial Neural Networks
    Authors: Pathak, R.K., Mishra, S., Roy, S.K., Sharan, P.
    Journal: Optik, 2025.
  • Title: Design of Optical Sensor for Cancer Prognosis Prediction Using Artificial Intelligence
    Authors: Pathak, R.K., Mishra, S., Sharan, P.
    Journal: Journal of Optics (India), 2024.
  • Title: Bragg Reflector One-Dimensional Multi-Layer Structure Sensor for the Detection of Thyroid Cancer Cells
    Authors: Pathak, R.K., Mishra, S., Sharan, P.
    Journal: Telkomnika (Telecommunication Computing Electronics and Control), 2023.
  • Title: Investigation of a Superior Thermal Sensitivity FBG-Based Temperature Sensor with Metallic and Polymeric Coatings
    Authors: Deepa, N., Sharma, S., Sharan, P., Pathak, R.K.
    Conference: 2023 IEEE Workshop on Recent Advances in Photonics (WRAP 2023), 2023.
  • Title: Thyroid Cancer Detection Using Artificial Neural Network and Photonic Sensor
    Authors: Pathak, R.K., Mishra, S., Sharan, P.
    Conference: 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON 2023), 2023.

Meena .K | Computer Science | Best Researcher Award

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Prof. Meena .K | Computer Science | Best Researcher Award

GITAM Deemed to be University, India

Author Profile

Early Academic Pursuits 🌱📚

Prof. K. Meena’s academic journey began with a remarkable foundation in science and engineering. She displayed exceptional scholastic aptitude during her school years, achieving 91% in Higher Secondary School (HSC) at Mary Sargent Higher Secondary School, Palayamkottai, and 89% in SSLC at Government Higher Secondary School, Pettai. Her consistent excellence paved the way for her higher education pursuits.Her undergraduate studies culminated in a Bachelor of Engineering (B.E.) in Electronics and Communication Engineering from Jeyamatha Engineering College, Tirunelveli, in 2002, where she graduated with an impressive 82.4% first class with distinction. Driven by a passion for computing, she pursued her Master of Engineering (M.E.) in Computer Science and Engineering at Manonmaniam Sundaranar University, achieving 83.4% first class with distinction in 2009.Prof. Meena’s academic pinnacle came with her Ph.D. in Computer Science and Engineering from the same university in 2014. Her research focused on “Face Recognition under Real-Time Challenges using Texture and Multiresolution Techniques,” a cutting-edge area in biometrics. 🌟

Professional Endeavors 💼🚀

Prof. Meena’s career reflects a steady progression through various academic and administrative roles. She began as a Lecturer at PSN College of Engineering and Technology (2005–2007), where she honed her teaching skills in the Department of Electronics and Communication Engineering.From 2007 to 2013, she served as an Assistant Professor and Head of the Department (HOD) at Sardar Raja College of Engineering, Alangulam. Her leadership skills became evident as she managed departmental activities and mentored students.She continued her role as HOD at J.P. College of Engineering, Alangulam (2013–2014), before transitioning to VV College of Engineering, Tisaiyanvilai, as an Assistant Professor in the Computer Science & Engineering (CSE) Department.In 2016, Prof. Meena joined Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, where she spent over six years as a Professor in CSE. She furthered her career at GITAM University, Bengaluru, first as an Associate Professor (2022–2023) and later as a Professor (2023–present) in the CSE Department. 🏫🎓

Contributions and Research Focus 🔬📖

With over 19 years of research experience, Prof. Meena’s work primarily spans biometrics, computer vision, machine learning, pattern recognition, and computer communication. Her Ph.D. research addressed real-world challenges in face recognition, employing innovative techniques that combined texture and multiresolution methods.Prof. Meena has published more than 80 research articles in reputed international and national journals and conferences. Of these, 19 papers are indexed in prestigious SCI journals, including IET Computer Vision, IETE Journal of Research, and Soft Computing. Her research contributions have significantly advanced areas such as sustainable computing, humanized computing, and medical systems.Her dedication to research is also evident in her guidance of four research scholars, fostering the next generation of innovators in her field. 🧑‍🎓✨

Accolades and Recognition 🏆🎖️

Prof. Meena’s reputation as a researcher and academician has garnered her numerous accolades. She serves as a reviewer for reputed journals, including publications by IET, Inderscience, and Springer.Her affiliations with professional bodies such as IEEE, CSI, ISTE, IAEST, IAENG, SAISE, and IACSIT highlight her commitment to staying at the forefront of technological advancements.

Impact and Influence 🌍🌟

Prof. Meena’s impact extends beyond her immediate academic circles. Her work in biometrics and computer vision contributes to global advancements in security, healthcare, and human-computer interaction. By integrating machine learning with practical applications, she addresses real-world challenges and inspires her peers and students.Her role as a professor and mentor has influenced countless students, instilling in them the skills and confidence to excel in the competitive field of computer science. 🎓💡

Legacy and Future Contributions 🔮🚀

As Prof. Meena continues her academic and research journey, her vision for the future involves exploring emerging areas such as artificial intelligence, deep learning, and sustainable computing. She aims to foster interdisciplinary research and contribute to innovations that address global challenges.Her legacy is built on a foundation of academic excellence, research innovation, and dedicated mentorship. With her unwavering commitment to education and technology, Prof. Meena is set to leave a lasting mark on the field of computer science and engineering. 💻🌐

Citations

A total of 738 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         738
  • h-index           13
  • i10-index        20

Notable Publications 

  • Title: A NLVFF-RLS approach to adaptive beamforming for wireless communication
    Authors: K. Meena, A.P. Kabilan
    Journal/Conference: 2008 International Conference on Computing, Communication and Networking
    Year: 2008.
  • Title: Retraction Note: Smart cataract detection system with bidirectional LSTM
    Authors: B.J.D. Kalyani, U. Hemavathi, K. Meena, B.S. Deepapriya, S. Syed
    Journal: Soft Computing
    Year: 2024.
  • Title: Retraction Note: Analysis of MRI brain tumor images using deep learning techniques
    Authors: B.J.D. Kalyani, K. Meena, E. Murali, L. Jayakumar, D. Saravanan
    Journal: Soft Computing
    Year: 2024.
  • Title: Retraction Note: Performance evaluation of deep learning techniques for lung cancer prediction
    Authors: B.S. Deepapriya, P. Kumar, G. Nandakumar, S. Gnanavel, R. Padmanaban, et al.
    Journal: Soft Computing
    Year: 2024.
  • Title: Retraction Note: Estimating the mortality rate using statistical variance and reduced set of clinical and non-clinical attributes for diagnosing chronic kidney disease
    Authors: K. Meena, A. Vadivel, P. Sumathy, A. Taha Zamani, S.M. Alanazi, N. Varish
    Journal: Soft Computing
    Year: 2024.

prabhu Sethuramalingam | Robotics | Best Researcher Award

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Prof Dr. prabhu Sethuramalingam | Robotics | Best Researcher Award

SRM Institute of Science and Technology, India

Author Profile

Early Academic Pursuits 📘

Dr. Prabhu’s academic foundation is rooted in Mechanical Engineering, which he pursued with a B.E. degree from Karunya Institute of Technology, Bharathiar University, Coimbatore, Tamil Nadu, graduating in 1996 with an impressive project on heat transfer, “Design and Fabrication of Stefan Boltzmann Apparatus.” His academic journey continued with a Master’s degree in Production Engineering from Thiagarajar College of Engineering, Madurai Kamarajar University. Graduating in 2001 with a notable 80% aggregate, he completed a research project on “Evaluation of Circularity Error Using Convex Hull Approach.” This project was instrumental in establishing his analytical capabilities early in his career.With an affinity for innovative research, Dr. Prabhu earned his Ph.D. in Mechanical Engineering at SRM University, Chennai, in 2013. His thesis, “Investigations on the Surface Characteristics of Grinding and EDM Processes Using Carbon Nanotubes,” laid the groundwork for his specialization in nanotechnology applications in machining processes. His research represented pioneering work in enhancing surface characteristics with the application of CNTs, emphasizing his commitment to cutting-edge engineering solutions.

Professional Endeavors and Leadership Roles 🏢

Dr. Prabhu’s professional journey began in the industry as a Production Engineer at Muthukumar Engineering Works, where he worked for 3.5 years, gathering hands-on experience in real-world manufacturing environments. This industrial foundation enriched his later work in academia, enabling him to bridge practical engineering applications with advanced theoretical knowledge.In 2001, he transitioned to academia as a Lecturer in SRM University’s Mechanical Engineering Department. Over the years, he progressed through roles of increasing responsibility, from Senior Assistant Professor (SG) to Head of the Department (HoD). His tenure as HoD, from 2016 to 2020, was marked by significant departmental advancements in research, curriculum development, and student mentorship, especially in emerging technologies. Now, as a senior professor with over a decade of experience in this position, Dr. Prabhu continues to contribute to the field and inspire future engineers.

Research Focus: Nanotechnology and Advanced Manufacturing 🌐

Dr. Prabhu’s research interests are focused on nanotechnology, particularly Carbon Nanotube applications in grinding and Electric Discharge Machining (EDM). His pioneering work involves the use of CNTs to improve the durability, efficiency, and performance of manufacturing tools and surfaces. His research extends to silicon wafer machining, nano painting, functionally graded materials (FGMs), composite structures, and robotics integrated with machine learning.Under his mentorship, three Ph.D. scholars have completed their degrees, and he currently guides five more. His guidance has inspired research in CNT-based grinding tools, the application of nano-painting techniques, and even robotics. This research has yielded practical outcomes, including applications in manufacturing, automotive, and defense, underscoring his dedication to real-world applications of engineering science.

Contributions to Curriculum Development and Technological Integration 🖥️

As an academic leader, Dr. Prabhu’s contributions extend beyond research. He has been instrumental in the design and implementation of outcome-based education (OBE) frameworks at SRM, emphasizing student-centric learning. He has enriched SRM’s curriculum by integrating cutting-edge topics like neural networks, MATLAB programming, and machine learning into the mechanical engineering courses. His command over software such as MINITAB, FANUC, ANSYS, and his expertise in CNC programming have empowered students with practical knowledge and technical proficiency.

Accolades and Recognition 🎖️

Throughout his career, Dr. Prabhu has received numerous accolades that reflect his expertise and leadership. One of his most distinguished international appointments was serving as an External Examiner in the Department of Industrial and Manufacturing Engineering at Harare Institute of Technology in Zimbabwe. This role highlights his standing as a global expert in mechanical engineering and his dedication to sharing knowledge beyond national boundaries.

Impact and Influence on Students and Research Communities 🌱

Dr. Prabhu has played a crucial role in shaping the academic and professional lives of countless students. Known for his deep understanding of robotic programming and fuzzy logic, he has mentored several student-led projects that incorporate real-world problem-solving using nanotechnology and robotics. His research projects have also explored machine learning techniques to optimize manufacturing processes, bridging the gap between mechanical engineering and artificial intelligence. His contributions to the research community include numerous publications in high-impact journals, contributing to advancements in carbon nanotube applications and green composite materials.

Legacy and Future Contributions 🌍

Looking ahead, Dr. Prabhu’s influence in mechanical engineering is poised to grow as he continues to guide research in sustainable materials, nanotechnology, and intelligent systems. His ongoing work in CNT applications and robotics opens up new avenues for eco-friendly manufacturing solutions, promising benefits for both industry and the environment. By guiding students and researchers in emerging fields, Dr. Prabhu is laying the foundation for the next generation of engineers who will pioneer sustainable technologies and innovations.In summary, Dr. S. Prabhu’s career is an inspiring blend of academic achievement, research innovation, and impactful mentorship. His dedication to the development of nanotechnology, his leadership in academia, and his commitment to student success have left an indelible mark on the field of mechanical engineering. His journey continues to reflect a passion for engineering and innovation that will inspire future engineers and contribute to a greener, more technologically advanced world.

Citations

A total of 1041 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         1041
  • h-index           111
  • i10-index        19

Notable Publications 

  • Title: Jute/basalt fabrics in microcellulosic-filled epoxy composites for lightweight applications
    Authors: Reddy, M.I., Sethuramalingam, P., Sahu, R.K., Rama Raju, K.S.
    Journal: Materials Chemistry and Physics
    Year: 2024.
  • Title: Design optimisation and an experimental assessment of soft actuator for robotic grasping
    Authors: Sut, D.J., Sethuramalingam, P.
    Journal: International Journal of Intelligent Robotics and Applications
    Year: 2024.
  • Title: Design and development of universal soft robotic end effector through machine learning on the IRB 360 robot
    Authors: Sethuramalingam, P., Uma, M., Darshan, V., Sumesh, K.S.
    Journal: International Journal of Intelligent Robotics and Applications
    Year: 2024.
  • Title: ANFIS prediction modeling of surface roughness and cutting force of titanium alloy ground with carbon nanotube grinding wheel
    Authors: Stephen, D.S., Sethuramalingam, P.
    Journal: Multiscale and Multidisciplinary Modeling, Experiments and Design
    Year: 2024.
  • Title: Development of rapidly exploring random tree based autonomous mobile robot navigation and velocity predictions using K-nearest neighbors with fuzzy logic analysis
    Authors: Vignesh, C., Uma, M., Sethuramalingam, P.
    Journal: International Journal on Interactive Design and Manufacturing
    Year: 2024.

Sampathkumar.J | Machine Learning | Young Scientist Award

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Dr. Sampathkumar.J | Machine Learning | Young Scientist Award

Mahendra college of engineering, India

Author Profile

Early Academic Pursuits 🎓📚

J. Sampathkumar’s academic journey began with a solid foundation in technical and general education. He completed his Secondary School Leaving Certificate (SSLC) in 1995 from Nirmala Hr. Sec. School, Kolathur, achieving a commendable score of 64%. This was followed by his Higher Secondary Leaving Certificate (HSLC) in 1997 from Municipal Boys Hr. Sec. School, Palani, where he secured 70%, demonstrating his early inclination towards academics.Driven by a passion for technology, he pursued a Diploma in Electrical and Electronics Engineering (DEIE) from Salem Polytechnic College in 2000, achieving an impressive 81%, which laid the foundation for his engineering aspirations. To further strengthen his knowledge, he earned a Bachelor of Engineering (B.E.) in Electronics and Communication Engineering (ECE) in 2005 from Paavai Engineering College, Namakkal, affiliated with Anna University, where he excelled with a score of 73%. Alongside, he also completed a Bachelor of Computer Applications (BCA) from IGNOU, achieving 61%, showcasing his versatility and commitment to a multidisciplinary education.To diversify his skillset, Sampathkumar pursued an MBA in 2011 via distance education from Madras University, scoring 62%. He further specialized by completing a Master of Engineering (M.E.) in Power Electronics and Drives (PED) in 2013 from Dr. Nagarathinam’s College of Engineering, Mallur, affiliated with Anna University, attaining 68%.

Professional Endeavors 💼🚀

Sampathkumar’s career spans a wide array of roles across various industries, reflecting his adaptability and dedication to professional excellence. He began as a Junior Executive at Right Biz Technologies India Pvt. Ltd., Chennai, in 2006, where he honed his skills in XML-based webpage designing. Transitioning into quality assurance, he worked as a QA Engineer with e-Microdot Solutions Pvt. Ltd., Bangalore (2007) and Pious Infotech Pvt. Ltd., Bangalore (2008–2009), contributing significantly to software testing and quality control.Shifting gears, he took on administrative roles at Nandhi Dall Mills, Salem (2009–2010), and Jaisri Designs, Salem (2010). These positions underscored his organizational skills and ability to manage operational complexities. His transition to academia marked a turning point in his career. From 2010 to 2012, he served as a Lecturer at the Government College of Engineering, Salem, before joining Mahendra College of Engineering, Salem, in 2012 as an Assistant Professor, a role he continues to excel in.

Contributions and Research Focus 🔍📈

As an educator and researcher, Sampathkumar has demonstrated unwavering dedication to empowering students with knowledge and fostering innovation. His teaching methodologies combine theoretical insights with practical applications, particularly in Power Electronics and Drives (PED), a field in which he holds a master’s degree. His research interests include electronic circuit design, sustainable power systems, and engineering education methodologies, aiming to contribute to the advancement of technology for societal benefit.Through active engagement in academic activities, Sampathkumar has guided numerous students in their project work and has participated in departmental initiatives to enhance the quality of education. His efforts in bridging the gap between industry practices and academic knowledge have been instrumental in preparing students for professional challenges.

Accolades and Recognition 🏆✨

Sampathkumar’s career is adorned with milestones that reflect his professional competence and dedication. While working across various organizations, he was recognized for his meticulous work ethic and problem-solving skills. His transition to academia brought additional accolades for his teaching excellence and ability to inspire students. As a respected faculty member at Mahendra College of Engineering, he is appreciated for his contributions to student development and curriculum enhancement.

Impact and Influence 🌟📖

In his capacity as an Assistant Professor, Sampathkumar has played a vital role in shaping the minds of future engineers. His multidisciplinary background enables him to provide a holistic learning experience, encouraging students to think critically and innovate. His administrative experience further allows him to contribute to the efficient functioning of academic institutions, ensuring the delivery of quality education.

Legacy and Future Contributions 🌍🔮

Looking ahead, Sampathkumar aspires to expand his impact on engineering education and research. By staying abreast of technological advancements and integrating emerging tools into his teaching, he envisions creating a more robust and dynamic learning environment. He also plans to engage in collaborative research to address pressing global challenges in the fields of energy systems and sustainable development.Sampathkumar’s dedication to continuous learning and sharing knowledge serves as an inspiration to students and colleagues alike. His enduring contributions to academia and industry are a testament to his commitment to excellence and innovation, leaving a lasting legacy for generations to come. 🌟

Notable Publications

  • Smart Oil Extraction System with Customer and Owner Modes
    • Authors: DJ Sampathkumar, S. Saran, P. Gokul, N. Gowtham
    • Conference: 6th International Conference on Recent Innovations in Science and Technology
    • Year: 2024.
  • Smart Oil Extraction System with Customer and Owner Modes
    • Authors: MSP Dr. J. Sampathkumar, Mr. S. Saran, Mr. P. Gokul, Mr. N. Gowtham
    • Journal: International Journal of Innovative Research in Technology, Volume 10, Issue 12, Pages 198-202
    • Year: 2024.
  • Online Physio Therapy System Using the IoT and Human Gaits Analysis
    • Authors: DJR Dr. J. Sampathkumar
    • Journal: International Journal of Research and Analytical Reviews (IJRAR), Volume 10, Issue 3, Pages 950-957
    • Year: 2023.
  • HELP-WSN-A Novel Adaptive Multi-Tier Hybrid Intelligent Framework for QoS Aware WSN-IoT Networks
    • Authors: J. Sampathkumar, N. Malmurugan
    • Journal: Computers, Materials & Continua, Volume 71, Issue 2, Pages 2107-2123
    • Year: 2022.
  • 3-D Based Brain Tumor Detection Using (DL) Deep Learning and Image Processing Approach
    • Authors: Mr. J. Sampathkumar, Dr. M. Suganthi, Mr. D. Balaji
    • Patent: IN Patent 202141060315
    • Year: 2021.

Dr. Vivek Arya | Engineering | Best Researcher Award

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Assoc Prof Dr. Dr. Vivek Arya | Engineering | Best Researcher Award

Chandigarh University Punjab, India

Author Profile

Early Academic Pursuits 📚

Dr. Vivek Arya embarked on his academic journey with a focus on Electronics and Communication Engineering (ECE), an area in which he has not only excelled but also contributed significantly to the field. After completing his schooling, he pursued a Bachelor of Technology (B.Tech) in Electronics and Communication Engineering at F.E.T., GKV Haridwar, where he laid the foundation for his technical expertise. Graduating in 2010 with a commendable 68.49%, Dr. Arya’s thirst for knowledge did not stop there. He further advanced his studies by pursuing a Master of Technology (M.Tech) in Electronics and Communication Engineering at Amity University, Gurugram. Here, his academic brilliance shone through as he secured the Gold Medal with an impressive 89.4% and ranked first in his cohort. 🏅This was followed by his research endeavors leading to a Doctorate in the same field. Dr. Arya earned his Ph.D. in 2023 from the Faculty of Engineering and Technology (F.E.T.) at GKV Haridwar, marking a significant milestone in his career. His doctoral research, which received recognition for its quality and depth, solidified his position as an emerging expert in his field. He also successfully cleared the UGC NET in Electronics Science in June 2014, further affirming his academic prowess. 🔬

Professional Endeavors 👨‍🏫

Dr. Arya’s professional journey is defined by his roles as an educator, mentor, and researcher. His academic qualifications have allowed him to take on various significant roles in the educational sector. As a faculty member, Dr. Arya has shared his deep knowledge and expertise in Electronics and Communication Engineering with the next generation of engineers and researchers. His passion for teaching and his dedication to fostering student success has made him a respected figure at his academic institution. 💼Dr. Arya’s focus on continuous improvement and excellence in teaching has helped bridge the gap between theoretical learning and practical applications. As a mentor, he has encouraged his students to pursue innovative research projects and take bold steps toward real-world problem-solving. His role has extended beyond just imparting knowledge; he has instilled a spirit of curiosity and critical thinking in his students. 🌟

Contributions and Research Focus 🧠

Dr. Arya’s research contributions lie primarily in the Electronics and Communication domain, with a special focus on innovative systems and technologies that drive the modern world. His work has explored numerous areas including signal processing, communication systems, and network security, aiming to optimize and develop more efficient solutions for complex problems.His research not only includes theoretical analysis but also practical implementations that enhance system reliability and efficiency. Through his publications, Dr. Arya has made significant strides in communications technologies and has contributed to making these systems more robust and adaptive in a rapidly evolving technological landscape. As a result, his work has implications for industries ranging from telecommunications to defense systems. 📡Dr. Arya’s Ph.D. research further extended his contributions, where he worked on cutting-edge topics that bridge gaps in existing technologies. His doctoral thesis was met with praise for its originality and practical applications in communication systems. This research is expected to influence the development of next-generation communication technologies, positioning Dr. Arya as a thought leader in his field.

Accolades and Recognition 🏆

Dr. Arya’s academic excellence has earned him multiple accolades throughout his educational and professional journey. The most prominent of these was the Gold Medal for his outstanding performance in the M.Tech. program, securing first place among his peers. This recognition highlights his relentless pursuit of academic excellence.His Ph.D. dissertation has also been well-received by scholars and practitioners, underlining his ability to tackle complex issues in electronics and communication engineering. Being recognized by the UGC NET further solidified his reputation as an expert in the field. These awards and recognitions stand testament to Dr. Arya’s commitment to pushing the boundaries of knowledge and contributing meaningfully to the academic community. 🥇

Impact and Influence 🌍

Dr. Arya’s influence extends far beyond the classroom. His research has had a direct impact on engineering practices, especially in areas like communication systems, signal processing, and electronic circuit design. His work has helped shape industry standards and influenced the way future technologies will be developed and implemented.Dr. Arya’s teaching and research methodologies have left a lasting impact on his students, many of whom have gone on to achieve success in the industry and academia. He continues to inspire a new generation of engineers with his passion for technology, his thirst for knowledge, and his unwavering commitment to excellence.

Legacy and Future Contributions 🔮

Looking ahead, Dr. Arya is poised to make even greater contributions to the world of electronics and communication. With his extensive academic and professional experience, he is set to engage in more innovative research and collaborations that aim to solve complex global challenges. His future work will likely involve advancements in wireless communication, 5G networks, and advanced signal processing techniques. Dr. Arya’s legacy will be defined not only by his technical achievements but by his ability to inspire and lead the next generation of engineers toward creating impactful solutions for society. 🌐Through his research, teaching, and mentorship, Dr. Vivek Arya is creating a strong foundation for the future of Electronics and Communication Engineering. As a thought leader, his journey is only just beginning, and the best is yet to come.

Citations

A total of 283 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         283
  • h-index           38
  • i10-index        11

Notable Publications 

  • A novel broadband and high-gain compact annular ring microstrip antenna for satellite applications
    • Authors: Arya, V., Garg, T.
    • Journal: Frequenz
    • Year: 2024.
  • Realization of high-speed OWC links by incorporating hybrid OCDMA and MDM scheme for HAP-to-satellite applications
    • Authors: Kumari, M., Arya, V.
    • Journal: Optical and Quantum Electronics
    • Year: 2024.
  • Wheel-based 5G fronthaul/backhaul hybrid MDM-NGPON/FSO system under Gamma-Gamma turbulence and weather effects
    • Authors: Kumari, M., Arya, V.
    • Journal: International Journal of Communication Systems
    • Year: 2024.
  • Historical development of passive optical network (PON): A review
    • Authors: Arya, V., Kumari, M., Rana, A.K.
    • Journal: Journal of Optical Communications
    • Year: 2024.
  • Realization of 4 × 10 Gbps FSO-WDM System Incorporating Flattening Filter
    • Authors: Arya, V., Kumari, M., Singh, A., Kisku, A.
    • Conference: Proceedings of International Conference on Communication, Computer Sciences, and Engineering (IC3SE)
    • Year: 2024.

Nilamadhab Mishra | Artificial Intelligence | Best Researcher Award

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Dr. Nilamadhab Mishra | Artificial Intelligence | Best Researcher Award

VIT Bhopal University, India

Author Profile

Early Academic Pursuits 🎓📘

Dr. Nilamadhab Mishra, often referred to as Dr. N. Mishra, embarked on his academic journey with a strong foundation in computer science and engineering, leading him to pursue his Doctor of Philosophy (Ph.D.) in Computer Science & Information Engineering. He specialized in the field of Data Science and Machine Learning, which laid the groundwork for his future research and professional pursuits. His Ph.D. was awarded by Chang Gung University (CGU) in Taiwan, a well-regarded institution ranked in the 601-800 bracket in the Times Higher Education World University Rankings (2016) and positioned at 429 in the QS World University Rankings the same year. This esteemed academic environment at CGU provided Dr. Mishra with valuable exposure and contributed significantly to his evolving expertise in AI and machine learning.

Professional Endeavors 🏫🔬

With over 22 years of experience spanning academia and research across India, Taiwan, and Africa, Dr. Mishra has significantly impacted both national and international institutions. Currently, he serves as an Associate Professor in the School of Computer Science and Engineering, specifically within the AI-ML Division, at VIT Bhopal University in India. His teaching roles have encompassed diverse computer science topics, while his dedication to research has led him to work on multiple funded projects from Taiwan’s Ministry of Science and Technology (MOST), the National Science Council (NSC), and Chang Gung University Memorial Hospital. These projects allowed him to explore complex, real-world challenges within the fields of artificial intelligence, data science, and machine learning, all of which are central to his ongoing professional focus.In addition to his academic roles, Dr. Mishra has contributed his expertise to several notable professional organizations. He is a Life Member of the Computer Society of India (CSI), a Fellow Member of the International Society for Research and Development (ISRD), and a Senior Member of both the Asia Society of Researchers (ASR) and the International Economics Development and Research Center (IEDRC), both based in Hong Kong. His international affiliations reflect his deep commitment to staying connected with the global research community, enhancing his academic and professional insights.

Contributions and Research Focus 🔍📊

Dr. Mishra’s research primarily revolves around artificial intelligence (AI), data science, and machine learning, with an emphasis on cognitive application modeling. His scholarly work includes over 50 publications in highly regarded SCI/SCIE and SCOPUS-indexed journals, book chapters, Indian and Australian patents, and IEEE conference proceedings. His impressive publication record has positioned him as a thought leader in his field. As an active researcher, he has also taken on roles as a reviewer, associate editor, and editorial board member for several SCI/SCIE-indexed journals and conferences, further broadening his impact in the academic community.Through his Ph.D. research, Dr. Mishra contributed significantly to several funded research projects aimed at advancing medical and scientific knowledge, particularly in collaboration with CGU Memorial Hospital. His work on data-driven insights and predictive models has applications in healthcare and other sectors, highlighting the transformative potential of machine learning and data science to solve complex societal issues.

Accolades and Recognition 🏆📜

Dr. Mishra’s dedication to excellence in his field has earned him numerous accolades. In 2018, he was recognized as a “Top Author” on PubFacts.com, and his name was recorded in the prestigious World Book of Researchers, published in Oxford, United Kingdom. His international recognition extends to his status as an Associate Editor for two SCOPUS-indexed journals, a position that underscores his expertise in evaluating cutting-edge research.Further distinguishing his career is his qualification in the Test of English as an International Communication (TOEIC), demonstrating his proficiency in engaging with the global academic and professional community. His inclusion in the World Book of Researchers and his recognition by PubFacts.com reflect his influential presence and active contribution to the research world.

Impact and Influence 🌎📈

Dr. Mishra’s impact is evident in his prolific body of research, his commitment to teaching, and his active role in academic service. His publications in high-impact journals have influenced the fields of AI, machine learning, and data science, inspiring other researchers and contributing to advancements in technology and science. As an Associate Professor, he mentors the next generation of computer scientists, instilling in them both technical knowledge and a passion for research. His influence extends beyond the classroom through his involvement in professional organizations, where he collaborates with researchers from around the globe to advance scientific understanding.Additionally, his membership in organizations such as ORCID, IEEE Collabratec, and the International Association of Engineers (IAENG) highlights his dedication to continuous learning and professional development. These platforms allow him to exchange ideas with other experts, stay abreast of the latest technological advancements, and integrate this knowledge into his teaching and research.

Legacy and Future Contributions 🌠📅

As Dr. Mishra continues to contribute to the fields of AI, machine learning, and data science, his work will undoubtedly leave a lasting legacy. His dedication to advancing these fields has already established him as a respected figure in academia, and his ongoing research promises to push the boundaries of what is possible in cognitive application modeling and data-driven decision-making. His legacy also includes his contributions to professional organizations and his mentorship of students, both of which ensure that his impact will resonate with future generations of researchers and engineers.Looking ahead, Dr. Mishra aims to deepen his research in machine learning and AI applications, potentially exploring their intersections with cognitive science and healthcare. His future contributions promise to enhance our understanding of these technologies and their potential to address global challenges. Through his dedication to research, teaching, and mentorship, Dr. Mishra is well-positioned to continue making meaningful contributions to the academic and scientific communities for years to come.

Citations

A total of 323 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         323
  • h-index           64
  • i10-index        10

Notable Publications 

  • Title: Hybrid optimization enabled squeeze net for phishing attack detection
    Authors: Kamble, N., Mishra, N.
    Journal: Computers and Security
    Year: 2024.
  • Title: A blockchain-based deep learning system with optimization for skin disease classification
    Authors: Rokade, S., Mishra, N.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.
  • Title: Unveiling the effectiveness of ML models for predicting Forex trends: An AI-ML-driven service into trade marketing
    Authors: Sodha, M., Nayak, R.K., Mishra, N., Tripathy, R., Singh, H.
    Book Chapter: AI Innovations in Service and Tourism Marketing
    Year: 2024.
  • Title: QHopNN: investigating quantum advantage in cryptanalysis using a quantum hopfield neural network
    Authors: Hariharasitaraman, S., Mishra, N., Vishnuvardhanan, D.
    Journal: Physica Scripta
    Year: 2024.
  • Title: PD-DETECTOR: A sustainable and computationally intelligent mobile application model for Parkinson’s disease severity assessment
    Authors: Mishra, S., Jena, L., Mishra, N., Chang, H.-T.
    Journal: Heliyon
    Year: 2024.

Rajib Kumar Jha | Machine Learning | Research Excellence Award

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Dr. Rajib Kumar Jha | Machine Learning | Research Excellence Award

IIT Patna, India

Author Profile

Early Academic Pursuits 📚

Rajib Kumar Jha’s academic journey is marked by a strong foundation in science and engineering, beginning with his secondary education at M. L. Academy, Bihar, where he excelled in core subjects like Science, Mathematics, Hindi, and English, scoring an impressive 76% in 1992. His passion for engineering continued through his higher secondary studies at C.M. Sc. College, Bihar, where he obtained 69% in 1993. Driven to excel in the field, he pursued his undergraduate degree in Electronics and Communication Engineering (ECE) at UIET Kanpur under CSJM University, graduating in 2001 with a commendable CPI of 8.4/10. His commitment to advancing in his field took him to IIT Kharagpur, where he earned both his M.Tech (2003) with a CPI of 7.6/10 and his Ph.D. (2010) with a specialization in Digital Image Processing. This period marked a significant phase of growth, as he deepened his understanding of Digital Image & Signal Processing, Medical Imaging, Machine Learning, and Pattern Recognition.

Professional Endeavors 💼

Dr. Rajib Kumar Jha’s professional career reflects a steady progression in academia, combining teaching with intensive research. Starting in 2006, he joined IIITDM Jabalpur as an Assistant Professor, dedicating over six years to teaching and research until December 2012. He then moved to IIT Ropar, where he continued his teaching journey until May 2013. His skills and expertise led him to IIT Patna, initially as an Assistant Professor from 2013 to 2018, after which he was promoted to Associate Professor. At IIT Patna, Dr. Jha has been actively involved in research, development, and mentorship, making substantial contributions to the field and to the growth of his students.

Contributions and Research Focus 🔬

Dr. Jha’s research interests focus on the field of Digital Image & Signal Processing, with an emphasis on Medical Imaging, Machine Learning, and Pattern Recognition. His work in Digital Image Processing, initiated during his Ph.D. at IIT Kharagpur, has extended to pioneering research in Medical Imaging. By integrating Machine Learning and advanced pattern recognition techniques, he has made advancements in data interpretation and diagnostics that could significantly improve medical imaging accuracy. His research output has contributed to enhancing signal processing methods, which are essential for both academic and practical applications. Through this specialized focus, he has enriched both his students and the academic community, providing insights into cutting-edge developments in image and signal processing.

Accolades and Recognition 🏆

Throughout his career, Dr. Jha has earned recognition for his academic rigor and dedication. His academic records and early success led to opportunities in prestigious institutions, starting with his Ph.D. and M.Tech from IIT Kharagpur and culminating in his role as an Associate Professor at IIT Patna. His contributions to research and education have been recognized at various levels, with honors reflecting his commitment to excellence in the engineering discipline. His significant contributions to medical imaging and digital signal processing have attracted appreciation from his peers and set a benchmark for upcoming researchers.

Impact and Influence 🌍

Dr. Rajib Kumar Jha’s influence extends beyond his research; as a teacher and mentor, he has guided numerous students through their academic and research journeys. His tenure at institutions like IIITDM Jabalpur, IIT Ropar, and IIT Patna has allowed him to impact a diverse group of students, encouraging them to think innovatively and apply their knowledge to real-world challenges. His focus on digital signal processing has also contributed to advancements in medical technology, benefiting practitioners and patients alike. Dr. Jha’s collaborations and guidance have helped shape the careers of future engineers and researchers, many of whom now contribute to the field independently.

Legacy and Future Contributions 🌟

As he continues his journey at IIT Patna, Dr. Jha is poised to leave a lasting legacy, both as an academic and a researcher. His current research efforts hold potential for groundbreaking advancements in medical imaging and pattern recognition, particularly in healthcare applications within developing regions. Dr. Jha’s dedication to teaching and research ensures that his influence will extend well beyond his immediate academic environment, as his work is likely to inspire future innovations in signal processing, machine learning, and digital image processing. Embracing new technologies and methodologies, Dr. Jha is committed to enhancing the impact of engineering research and shaping a generation of engineers who are ready to tackle tomorrow’s challenges.

Citations

A total of 1187 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         1187
  • h-index           103
  • i10-index        18

Notable Publications 

  • Title: Ensemble learning using Gompertz function for leukemia classification
    Authors: Abhishek, A., Deb, S.D., Jha, R.K., Sinha, R., Jha, K.
    Journal: Biomedical Signal Processing and Control
    Year: 2025.
  • Title: Segmentation of pectoral muscle from mammograms using U-Net having densely connected convolutional layers
    Authors: Deb, S.D., Jha, R.K.
    Journal: Multimedia Tools and Applications
    Year: 2024.
  • Title: Severity estimation of Coffee leaf disease using U-Net and pixel counting mechanism
    Authors: Deb, S.D., Kashyap, R., Abhishek, A., Jha, R.K.
    Journal: ACM International Conference Proceeding Series
    Year: 2024.
  • Title: Breast cancer diagnosis using modified Xception and stacked generalization ensemble classifier
    Authors: Deb, S.D., Rahman, A., Jha, R.K.
    Journal: Research on Biomedical Engineering
    Year: 2023.
  • Title: Breast UltraSound Image classification using fuzzy-rank-based ensemble network
    Authors: Deb, S.D., Jha, R.K.
    Journal: Biomedical Signal Processing and Control
    Year: 2023.

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.

Bhuvaneswari.S | Deep learning | Best Researcher Award

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Dr. Bhuvaneswari.S | Deep learning | Best Researcher Award

SASTRA Deemed University- India

Author Profile

Early Academic Pursuits

Dr. S. Bhuvaneswari embarked on her academic journey with a passion for computer science and engineering, setting a solid foundation for her future endeavors. She pursued her doctoral studies at SASTRA Deemed University, Thanjavur, India, where she focused on developing innovative solutions to real-world challenges. Her thesis, titled “An Intelligent Data-driven Prediction Model for Sustainable Cropping System using Deep Learning Techniques,” reflects her dedication to leveraging technology for agricultural sustainability. This early focus on deep learning techniques and precision agriculture positioned her as a thought leader in the intersection of technology and agriculture. 🌾

Professional Endeavors

Dr. Bhuvaneswari’s professional journey is marked by diverse roles that encompass both industry and academia. She began her career as a Quality Engineering Transformation (QET) Engineer at TATA Consultancy Services (TCS) in Chennai from June 2018 to January 2020. During her tenure at TCS, she was part of the Center of Excellence team in performance testing, where she honed her skills in quality assurance and software engineering.In January 2020, she transitioned to academia as a Junior Research Fellow at the School of Computing, SASTRA Deemed University, supported by the Indian Council of Social Science Research (ICSSR) under the IMPRESS Scheme. She later served as a Teaching Assistant and then a Research Assistant, contributing significantly to various projects until February 2024, when she was appointed as an Assistant Professor Research in the Department of Computer Science and Engineering at SASTRA Deemed University. Her journey reflects a commitment to both teaching and research, combining practical experience with academic rigor. 📚

Contributions and Research Focus

Dr. Bhuvaneswari’s research interests primarily revolve around Deep Learning Techniques, Recommender Systems, and Precision Agriculture. Her work emphasizes the development of intelligent systems that can analyze complex data sets and provide actionable insights for sustainable agricultural practices. One of her notable projects, “Design and Development of Decision-making Tool for Crop Selection in Precision Agriculture,” aims to aid farmers in making informed decisions, thereby improving crop yields and resource management. Additionally, her investigation into prediction models for physical activity recommender systems highlights her versatility and ability to apply her expertise across various domains.Her proficiency in programming languages like Java and Python, combined with her experience in Computer Vision and Recommender Systems, positions her as a valuable asset in the fields of data science and machine learning. 🖥️

Accolades and Recognition

Throughout her career, Dr. Bhuvaneswari has received recognition for her contributions to academia and research. Her work has been funded by reputable organizations, showcasing her ability to secure grants and support for her innovative projects. She has participated in numerous conferences, presenting her research findings and engaging with other experts in her field. This active involvement not only enhances her professional profile but also contributes to the advancement of knowledge in her areas of expertise.

Impact and Influence

Dr. Bhuvaneswari’s influence extends beyond her immediate academic environment. By integrating advanced computational techniques into agriculture, she addresses critical issues related to food security and sustainable farming practices. Her research empowers farmers with data-driven insights, helping them optimize their operations and adapt to changing environmental conditions. Through her teaching, she inspires the next generation of computer scientists, instilling in them a passion for innovation and problem-solving. 🌍

Legacy and Future Contributions

As Dr. Bhuvaneswari continues her journey at SASTRA Deemed University, her legacy is already taking shape through her impactful research and dedication to education. She envisions expanding her work in deep learning and precision agriculture, potentially collaborating with industry partners to implement her models in real-world agricultural settings. Her commitment to developing sustainable solutions is likely to inspire future researchers and practitioners in the field.In conclusion, Dr. S. Bhuvaneswari exemplifies the integration of technology and agriculture, with a strong foundation in research and teaching. Her contributions are paving the way for a more sustainable future, making her a prominent figure in her field. For inquiries, she can be reached at her email: sbhuvi95@gmail.com. With a promising trajectory ahead, Dr. Bhuvaneswari is poised to make significant advancements that will benefit both academia and the agricultural sector. 🌟

Citations

A total of 110 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         110
  • h-index           16
  • i10-index        5

Notable Publications

  • Bhuvaneswari, S. & Subramaniyaswamy, V.
    “D2CNN: Double-staged Deep CNN for Stress Identification and Classification in Cropping System”
    Agricultural Systems, (2024), Vol. 216, 103886 [IF: 6.6]
  • Bhuvaneswari, S., Jagadeesh, M. & Subramaniyaswamy, V.
    “Multi-label Classification for Acoustic Bird Species Detection using Transfer Learning Approach”
    Ecological Informatics, (2024), Vol. 80, pp. 1-12, 102471 [IF: 5.1]
  • Bhuvaneswari, S., Saravanan, P. & Subramaniyaswamy, V.
    “Feature Fusion based Deep Neural Collaborative Filtering Model for Fertilizer Prediction”
    Expert Systems with Applications, (2023), Vol. 216, pp. 1-12 [IF: 8.665]
  • Bhuvaneswari, S., Saravanan, P. & Subramaniyaswamy, V.
    “Meta Learning-based Dynamic Ensemble Model for Crop Selection”
    Applied Artificial Intelligence, (2022), Vol. 36, pp. 1-36 [IF: 2.777]
  • Bhuvaneswari, S., Saravanan, P., Kotecha, K., Kumar, V. & Subramaniyaswamy, V.
    “IoT Driven Artificial Intelligence Technique for Fertilizer Recommendation Model”
    IEEE Consumer Electronics Magazine, (2022).