Dipesh | Mathematical Modeling | Best Researcher Award

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Dr. Dipesh | Mathematical Modeling | Best Researcher Award

SR University, India

Author Profile

🎓 Early Academic Pursuits

Dr. Dalal’s academic journey commenced with a strong foundation in science, achieving first-division honors in both his high school (2009) and intermediate (2012) examinations under the HBSE Board, Haryana. He pursued his undergraduate studies in science at MDU University, Rohtak, graduating with first-division honors in 2015. His passion for mathematics led him to complete a Master’s in Applied Mathematics from Indira Gandhi University, Rewari, in 2017. He further advanced his academic credentials by earning a Ph.D. in Applied Mathematics from Lovely Professional University (LPU), Punjab, in 2022. Demonstrating a commitment to continuous learning, Dr. Dalal undertook postdoctoral research at Harran University, Turkey, focusing on advanced mathematical modeling techniques.

💼 Professional Endeavors

Dr. Dalal’s professional career is characterized by diverse teaching and research roles. He served as an Assistant Professor in the Department of Intellectual Property Rights and the School of Chemical Engineering and Physical Science at LPU, Punjab, where he was instrumental in delivering lectures on IPR, conducting workshops, and preparing patent and trademark documentation. His tenure at LPU also included responsibilities in research and development, emphasizing the integration of intellectual property rights into academic curricula.

In June 2023, Dr. Dalal commenced a postdoctoral research position at Harran University, Turkey, where he engaged in advanced studies in applied mathematics until July 2024. Subsequently, he joined SR University, Warangal, Telangana, as an Assistant Professor in the Department of Mathematics, School of Computer Sciences and Artificial Intelligence, where he continues to contribute to academic excellence.

🔬 Contributions and Research Focus

Dr. Dalal’s research portfolio encompasses a wide array of topics within mathematical modeling, including the dynamics of plant competition under allelopathy, the impact of time delays on ecological systems, and the optimization of industrial growth through alternative biomass resources. His work often employs delay differential equations (DDEs) to model complex biological and economic systems, providing insights into system stability and behavior over time.

Notably, his publication “Investigating the impact of toxicity on plant growth dynamics through the zero of a fifth-degree exponential polynomial: A mathematical model using DDE” in Chaos, Solitons & Fractals (2023) exemplifies his application of advanced mathematical techniques to ecological modeling. Additionally, his collaborative work on “Modeling and analysis of demand-supply dynamics with a collectability factor using delay differential equations in economic growth via the Caputo operator” in AIMS Mathematics (2024) highlights his interdisciplinary approach, bridging mathematics and economics.

🏆 Accolades and Recognition

Dr. Dalal’s contributions to academia have been recognized through several awards. He received the Best Thesis Award in 2023, acknowledging the significance of his doctoral research. His commitment to scholarly excellence was further honored with the Best Reviewer Award in 2023 by the Asian Research Journal of Mathematics. In 2025, he was bestowed with the Scientists Research Award-1542, reflecting his ongoing impact in the field of applied mathematics.

🌍 Impact and Influence

Beyond his research, Dr. Dalal has played a pivotal role in academic event coordination and departmental leadership. He served as the Coordinator for the Department of Intellectual Property Rights from 2023 to July 2024 and successfully organized the RAFAS 2024 conference. His involvement in the National Workshop on MATLAB and LaTeX (NWML-2016) at Indira Gandhi University underscores his dedication to enhancing computational skills among students and faculty.

Dr. Dalal’s objective to work with devotion, embrace challenges, and foster a collaborative environment aligns with his efforts to improve institutional rankings, admission strategies, student placements, and the overall goodwill of the universities he serves.

🌟 Legacy and Future Contributions

As an academician, Dr. Dalal aspires to continue contributing to the advancement of mathematical modeling and its applications across various disciplines. His future endeavors aim to integrate research insights into teaching methodologies, develop innovative curricula, and strengthen industry-academia collaborations. By nurturing the next generation of mathematicians and researchers, Dr. Dalal seeks to leave a lasting legacy in the academic community.

Citations

A total of 3583 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations            68
  • h-index               06
  • i10-index            03

Notable Publications 

    1. Title: Enhancing high frequency magneto-dielectric performance with exchange-coupled garnet/spinel ferrite (Y₃Fe₅O₁₂/Mg₀.₄Cd₀.₄Co₀.₂Fe₂O₄) composites
      Authors: P. Dipesh, A. Sharma, H. Mahajan, N. Aggarwal, S. Sinha, A.K. Srivastava
      Journal: Nano-Structures & Nano-Objects
      Year: 2023

    2. Title: Modeling and analysis of demand-supply dynamics with a collectability factor using delay differential equations in economic growth via the Caputo operator
      Authors: P. Dipesh, Q. Chen, P. Kumar, H.M. Baskonus
      Journal: AIMS Mathematics
      Year: 2024

    3. Title: Effect of time-lag on two mutually competing plant populations under allelochemicals
      Authors: P.K. Dipesh
      Journal: Journal of Physics: Conference Series
      Year: 2022

    4. Title: Optimizing industrial growth through alternative forest biomass resources: A mathematical model using DDE
      Authors: P. Dipesh, P. Kumar, C. Cattani
      Journal: International Journal of Mathematics and Computer in Engineering
      Year: 2023

    5. Title: Effect of time delay on dynamic of plant competition under allelopathy
      Authors: P.K. Dipesh
      Journal: Mathematical Methods in the Applied Sciences
      Year: 2022

Ashish Raj | Decision Sciences | Best Research Award

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Mr. Ashish Raj | Decision Sciences | Best Research Award

Indian Institute of Management, Mumbai, India

Author Profile

Early Academic Pursuits 🎓

Ashish Raj’s academic journey is marked by a consistent quest for excellence and an eagerness to explore multiple disciplines. His academic story began with a strong foundation in his early education, where he achieved remarkable success in both the 10th and 12th grades. With an outstanding score of 85.40% in his ICSE examinations at St. Xavier’s High School, Patna, and 77.40% in his CBSE 12th grade exams from Loyola Senior Secondary School, Patna, Ashish demonstrated not only intelligence but also a keen understanding of his subjects.

His passion for engineering was evident as he pursued a Bachelor’s degree in Civil Engineering at Birla Institute of Technology (BIT) Mesra. There, Ashish excelled with a commendable 74% and distinguished himself both academically and in extracurricular activities. His participation in technical fests and his involvement in the National Service Scheme (NSS) provided a well-rounded experience, setting the stage for his future endeavors. His academic performance, combined with his leadership skills, solidified his position as a promising student.

Professional Endeavors and Contributions 💼

Ashish’s transition into the professional sphere was seamless, as he chose to further deepen his knowledge by pursuing a Master’s degree in Structural Engineering at the prestigious Indian Institute of Technology, Varanasi (IIT BHU). During his M.Tech, he developed a nuanced understanding of Civil Engineering’s technical aspects, which paved the way for his specialization in Operations and Supply Chain Management. At IIT BHU, Ashish’s academic rigor and dedication were reflected in his high distinction of 8.0/10, which speaks volumes about his technical expertise and determination.

Upon completion of his M.Tech, Ashish chose to expand his horizons by focusing on Operations and Supply Chain Management, an area that marries his engineering background with his analytical and problem-solving skills. His decision to pursue a Ph.D. in this field at the Indian Institute of Management (IIM) Mumbai reflects his growing ambition and desire to contribute significantly to the field of management and research.

Research Focus and Impact 🔬

Ashish Raj’s primary research focus revolves around Operations and Supply Chain Management, a domain that has become increasingly critical in today’s globalized economy. His doctoral research at IIM Mumbai examines innovative strategies to optimize supply chains, incorporating the latest technological advancements and management theories. His work aims to provide impactful insights into improving efficiency, reducing costs, and enhancing the sustainability of supply chains in various industries.

In addition to his academic pursuits, Ashish has consistently explored the intersection of engineering and management, demonstrating his interdisciplinary approach to problem-solving. His comprehensive understanding of structural engineering combined with supply chain dynamics gives him a unique perspective to tackle complex real-world issues.

Accolades and Recognition 🏅

Throughout his academic career, Ashish has been recognized for his dedication, intellectual curiosity, and leadership skills. His academic excellence in both undergraduate and postgraduate studies earned him recognition among his peers and faculty. At IIT BHU, his research on Structural Engineering earned him accolades, with professors praising his meticulous approach to complex engineering problems. His Ph.D. research at IIM Mumbai is also making waves in the academic community, where his findings have the potential to influence real-world supply chain practices.

Impact and Influence 🌍

Ashish Raj’s influence extends beyond just academic research. As a scholar, he actively contributes to his community by participating in various academic forums, conferences, and seminars. His work has inspired other students and budding researchers to explore the realms of Operations and Supply Chain Management and its relevance in contemporary industries. His interdisciplinary approach, blending Civil Engineering with business and management principles, has enabled him to provide valuable insights that have the potential to transform industries.

Moreover, his contributions to the technical fests, NSS activities, and his involvement with academic groups have positively impacted the community at BIT Mesra and IIT BHU, fostering a spirit of collaboration and academic excellence.

Legacy and Future Contributions ✨

Ashish Raj’s legacy is one of continuous learning and pursuit of excellence. As he progresses with his Ph.D., his research will undoubtedly have lasting effects in the fields of Operations and Supply Chain Management. The tools and frameworks he is developing could prove pivotal in transforming industries by optimizing logistics, enhancing customer service, and ensuring sustainability across supply chains.

Looking ahead, Ashish is determined to make significant contributions to the academic world. His vision includes not only publishing influential research but also mentoring future generations of scientists, engineers, and business leaders. Ashish’s academic journey and his passion for interdisciplinary research make him a role model for aspiring students who wish to bridge the gap between engineering and management, ultimately creating a sustainable and innovative future. His commitment to contributing meaningfully to the academic community and beyond will continue to inspire both his peers and the next generation of researchers.

In summary, Ashish Raj’s journey has been one of continual growth, where his curiosity and dedication have guided him to become a promising researcher with a bright future. With a passion for solving complex problems and a deep commitment to learning, he is poised to make lasting contributions in both academia and industry.

Suresh K P | Biostatistics | Best Researcher Award

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Dr. Suresh K P | Biostatistics | Best Researcher Award

ICAR- National Institute of Veterinary Epidemiology and Disease Informatics. India

Author Profile

Early Academic Pursuits 🎓

Dr. K.P. Suresh’s academic journey reflects his commitment to excellence in education and a passion for statistics. Born and raised in rural Karnataka, he completed his SSLC in 1984 from Sathanur High School, Magadi Taluk, Bangalore district. His early exposure to mathematical sciences laid the foundation for a lifelong pursuit of statistical knowledge.

He earned his B.Sc. in 1989 from the Government Science College, Bangalore University, specializing in Statistics, Economics, and Mathematics. His thirst for deeper understanding led him to pursue an M.Sc. in Statistics in 1991, also from Bangalore University. Recognizing his aptitude and enthusiasm for research, he obtained a Ph.D. in Biostatistics in 2007 from the prestigious National Institute of Mental Health and Neurosciences (NIMHANS). His doctoral thesis on the “Evaluation of Clustering Methods for Pattern Recognition of Scholastic Improvement in Rural Children” demonstrated his innovative approach to solving complex problems in education and rural development.

Professional Endeavors and Versatile Expertise 💼

With over three decades of experience, Dr. Suresh has worn many hats — as a teacher, statistician, scientist, and mentor. He embarked on his professional career with All India Radio, Dharwad, analyzing audience research data for five years. His expertise in biostatistics soon found its most impactful application in his 28-year tenure as a scientist, where he worked extensively on:

  • Designing experiments,
  • Data analysis, and
  • Interpretation of complex datasets.

His contributions were particularly noteworthy at the National Institute of Animal Nutrition and Physiology, Bangalore, where his work addressed critical challenges in animal health and productivity. Later, at the ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, he delved into epidemiology, disease modeling, and risk mapping using advanced tools like remote sensing.

Teaching and Mentorship 📚

Dr. Suresh has been a dedicated educator, sharing his wealth of knowledge with students across various institutions. He has taught:

  • Undergraduate statistics for one year at Kalpatharu College, Tiptur, and
  • Postgraduate statistics for three years, including two years at the National Dairy Research Institute (NDRI), Bangalore.

His guidance has extended beyond classrooms, serving as a member of the board of examiners for Ph.D. theses, including his adjudication of a thesis on “Prediction of Secondary Structure of Proteins” at Bharathidasan University.

As a mentor, Dr. Suresh has guided 15 M.Sc. students and one Ph.D. scholar, fostering the next generation of statisticians. 🌟 His mentoring style has been widely appreciated for its clarity and depth.

Contributions and Research Focus 🔬

Dr. Suresh’s research spans diverse domains, including biostatistics, epidemiology, and disease modeling. Notable areas of his focus include:

  • Risk mapping for veterinary diseases,
  • Developing statistical tools for disease control, and
  • Utilizing remote sensing and GIS technologies for epidemiological studies.

His innovative approaches have directly influenced policies and practices in veterinary epidemiology, demonstrating his ability to bridge theoretical research with practical applications. 🐄📊

Accolades and Recognition 🏆

Dr. Suresh’s contributions have earned him immense respect in academic and scientific circles. His role in advancing biostatistics has been recognized nationally, particularly within the Indian Council of Agricultural Research (ICAR) network. As an esteemed Ph.D. examiner and thesis advisor, he has gained a reputation for his rigorous yet supportive evaluation process.

Impact and Influence 🌍

Through his career, Dr. Suresh has left a lasting impact on diverse fields, including education, veterinary science, and public health. His work on scholastic improvements in rural children reflects his commitment to social progress, while his contributions to animal disease modeling address critical challenges in agriculture and food security.

Legacy and Future Contributions 🔮

Dr. Suresh’s legacy is defined by his unwavering dedication to research, teaching, and mentorship. He has laid a strong foundation for biostatistics in India, particularly in the context of veterinary epidemiology. As he continues to engage in academic and research activities, his future contributions will likely shape new frontiers in disease modeling and statistical education. 🌟

In summary, Dr. K.P. Suresh’s journey is a testament to the transformative power of knowledge and innovation. Through his multi-faceted career, he has made significant contributions to science and society, ensuring his place as a luminary in biostatistics and epidemiology. ✨

Citations

A total of 3,051 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         3,051
  • h-index           144
  • i10-index        22

Notable Publications 

  1. Identification of molecular and cellular infection response biomarkers associated with anthrax infection through comparative analysis of gene expression data
    Authors: Rani, S., Ramesh, V., Khatoon, M., Hemadri, D., Suresh, K.P.
    Journal: Computers in Biology and Medicine
    Year: 2025
  1. Genomic exploration of foot-and-mouth disease signal molecules in Malnad Gidda and Hallikar breeds of Karnataka: A RNA-seq approach
    Authors: Sekar, Y.S., Suresh, K.P., Subramaniam, S., Barman, N.N., Patil, S.S.
    Journal: Indian Journal of Animal Sciences
    Year: 2024
  1. Decoding bovine coronavirus immune targets: an epitope informatics approach
    Authors: Rani, S., Khatoon, M., Hiremath, J., Yamini Sri, S., Patil, S.S.
    Journal: Animal Diseases
    Year: 2024
  1. Transmission patterns of malignant catarrhal fever in sheep and cattle in Karnataka, India
    Authors: Shyamsundar, K.A., Rathnamma, D., Gulati, B.R., Ranganatha, S., Patil, S.S.
    Journal: Veterinary Research Communications
    Year: 2024
  1. Comprehensive Spatial-Temporal and Risk Factor Insights for Optimizing Livestock Anthrax Vaccination Strategies in Karnataka, India
    Authors: Anandakumar, J., Suresh, K.P., Patil, A.V., Patil, S.S., Hemadri, D.
    Journal: Vaccines
    Year: 2024

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.

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.

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).

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.

Bhavna Bajpai | Database and Datamining | Women Researcher Award

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Dr. Bhavna Bajpai - Database and Datamining - Women Researcher Award 🏆

Dr. C. V. Raman University, Khandwa - India

Professional Profiles

Early Academic Pursuits

She began her academic journey with a Bachelor of Science in Computer Science from Poonam Chand Gupta Vocational College, Khandwa, affiliated with Devi Ahilya Govt. University, Indore (M.P.). She further pursued a Post Graduate Diploma in Computer Application (PGDCA) from the same institution, enhancing her skills in computer science applications. Her passion for learning led her to obtain a Master of Science in Information Technology from Guru Ghasidas University, Bilaspur (C.G.), followed by an M.Phil in Computer Science from Global Open University, Nagaland, and eventually a Ph.D. in Computer Science and Applications from AISECT University, Bhopal (M.P.).

Professional Endeavors

With over 18 years of experience in Information Technology and Computer Science Application departments, she has held various academic positions, starting as an Assistant Professor at IPS Academy, Indore, and later at Shri Dadaji Institute of Technology & Science, Khandwa, where she served for more than a decade. Currently, she holds the position of Associate Professor at Dr. C.V. Raman University, Khandwa, where she also serves as the Dean and IQAC Coordinator. Throughout her career, she has actively engaged in continued learning through conferences and professional research, aiming to stay updated with the latest advancements in her field.

Contributions and Research Focus in Database and Datamining

Her research interests primarily revolve around database management systems and data mining. Her expertise spans areas such as data analysis, machine learning, and pattern recognition. Through her scholarly contributions, Dr. Bajpai has explored innovative approaches to data management and mining, leveraging her insights to address real-world challenges. Her research has focused on enhancing the efficiency and effectiveness of database systems, optimizing data analysis techniques, and developing intelligent algorithms for pattern recognition and machine learning applications. Database and data mining are two interconnected fields crucial in the era of big data. A database is a structured collection of data organized for efficient retrieval, storage, and management.

Accolades and Recognition 

Her dedication and contributions to the field of database and data mining have earned her recognition and accolades. She has been acknowledged for her scholarly achievements through various platforms, including professional awards, citations, and academic affiliations. Her commitment to academic excellence and research innovation has been celebrated within the academic community, reflecting her significant impact on the field.

Impact and Influence

Her work has made a tangible impact on both academia and industry. Her research findings have contributed to advancements in database management systems, data analysis techniques, and machine learning algorithms. By bridging the gap between theory and practice, Dr. Bajpai has facilitated the adoption of data-driven strategies in diverse domains, empowering organizations to harness the power of data for informed decision-making and strategic planning.

Legacy and Future Contributions

As a dedicated educator and researcher, she continues to inspire and mentor future generations of scholars. Her legacy is defined by her passion for learning, her commitment to excellence, and her unwavering pursuit of knowledge. Moving forward, she aims to further her research endeavors, exploring new frontiers in database management systems and data mining. With her expertise and leadership, she remains poised to make significant contributions to the advancement of her field and the empowerment of aspiring researchers in the years to come.

Notable Publications

Nishi Parikh | Machine Learning for Material Science | Best Researcher Award

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Dr. Nishi Parikh - Machine Learning for Material Science - Best Researcher Award 🏆

Ola Battery Innovation Centre - India

Professional Profiles

Early Academic Pursuits

Her academic journey began with a Bachelor of Science in Chemistry from St. Xavier’s College, Ahmedabad, Gujarat, where she excelled academically and was awarded a Gold Medal. Her passion for chemistry led her to pursue a Master of Science in Organic Chemistry from Gujarat University, where she achieved a remarkable CGPA of 8.10 and received a Silver Medal. Subsequently, she embarked on her doctoral journey, earning a Ph.D. in Science from the Department of Chemistry at Pandit Deendayal Energy University, Gujarat. Her doctoral research focused on "Redefining the crystallization and characterization of halide perovskite by Machine Learning," showcasing her early engagement with machine learning techniques in material science.

Professional Endeavors

Her professional endeavors reflect her dedication to advancing the field of material science through interdisciplinary research and collaboration. She has contributed significantly to the Ola Battery Innovation Centre in Bangalore, India, leveraging her expertise in machine learning and materials science to drive innovation in battery technology. Her research endeavors have been supported by prestigious fellowships, including the PBEEE Merit Fellowship for research stay at INRS, Quebec, and the Swiss Government Excellence Research Fellowship at ZHAW, Zurich.

Contributions and Research Focus in Machine Learning for Material Science

Her research focuses on the intersection of machine learning and material science, with a particular emphasis on material property prediction, computational materials science, and data-driven materials design. Her doctoral research on halide perovskite crystallization and characterization exemplifies her pioneering work in applying machine learning techniques to address complex challenges in materials research. By harnessing the power of machine learning algorithms, Dr. Parikh aims to accelerate materials discovery processes, optimize material properties, and facilitate the design of novel materials for various applications.

Accolades and Recognition

Her contributions to material science and machine learning have been widely recognized through numerous awards and achievements. She has been awarded prestigious fellowships, including the PBEEE Merit Fellowship and the Swiss Government Excellence Research Fellowship, for her outstanding research contributions. Additionally, her research presentations at international conferences and symposiums have earned her accolades, including the Best Poster Award at the "3rd Gen PV in the developing world" conference organized by Newcastle University, UK.

Impact and Influence

Her research has made a significant impact on the field of material science and machine learning, advancing our understanding of materials behavior and enabling the design of innovative materials with tailored properties. Her interdisciplinary approach and collaborative efforts have led to advancements in battery technology, renewable energy, and sustainable materials. Through her research, Dr. Parikh continues to inspire future generations of scientists and engineers, driving innovation and progress in the field of material science.

Legacy and Future Contributions

As she continues her academic and research endeavors, her legacy is defined by her commitment to excellence, innovation, and interdisciplinary collaboration in material science and machine learning. Her future contributions hold the promise of further advancing our understanding of materials behavior, accelerating materials discovery processes, and revolutionizing various industries through the development of advanced materials with tailored properties. Dr. Parikh's pioneering research serves as a catalyst for transformative change in material science and machine learning, shaping the future of technology and sustainability.

Citations

  • Citations               328
  • h-index                  11
  • i10-index               11

Notable Publications