S.S.Subashka Ramesh | Medicinal Chemistry | Best Researcher Award-duplicate-1

Published-on by Indian Scientist

Dr. S.S. Subashka Ramesh | Data Science and Machine learning | Best Researcher Award

SRM Institute of Science and Technology india, India

Dr. S.S. Subashka Ramesh is an accomplished academic and researcher in Computer Science and Engineering with a strong foundation in advanced computing and data-driven technologies. Holding doctoral and postgraduate qualifications, she has extensive teaching and research experience, mentoring scholars and contributing to impactful innovations. Her research interests include machine learning, artificial intelligence, edge computing, and medical imaging. With notable publications, patents, and academic leadership, she has earned professional recognition and continues to advance knowledge through research, collaboration, and technology-driven solutions for real-world challenges.

Citation Metrics (Google Scholar)

700
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20
10
0

Citations
641

h-index
11

i10index
13

Citations

h-index

i10-index

Featured Publications

ADRIJIT GOSWAMI | Computer Science | Research Excellence Award

Published-on by Indian Scientist

ADRIJIT GOSWAMI | Computer Science | Research Excellence Award

Indian Institute of Technology Kharagpur India, India

Prof. Dr. Adrijit Goswami is a distinguished academic in Mathematics at the Indian Institute of Technology Kharagpur, specializing in Operations Research and Optimization. He earned his doctorate from Jadavpur University and has extensive teaching and research experience. His interests include supply chain management, fuzzy systems, vehicle routing, cryptography, and data analytics. A recipient of multiple academic honors, he has supervised numerous doctoral scholars and published widely. His work significantly advances mathematical modeling, optimization science, and impactful decision-making research.

Research Metrics (Google Scholar)

8000
6000
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2000
0

Citations
7384

h-index
45

i10-index
109

Citations

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Featured Publications


A secure biometrics-based multi-server authentication protocol using smart cards

V Odelu, AK Das, A Goswami – IEEE Transactions on Information Forensics and Security
Cited by: 489 · Year: 2015


An EOQ model for deteriorating items with linear time-dependent demand rate and shortages under inflation and time discounting

S Bose, A Goswami, KS Chaudhuri – Journal of the Operational Research Society
Cited by: 354 · Year: 1995


An EOQ model for deteriorating items with shortages and a linear trend in demand

A Goswami, KS Chaudhuri – Journal of the Operational Research Society
Cited by: 343 · Year: 1991


Multiobjective transportation problem with interval cost, source and destination parameters

SK Das, A Goswami, SS Alam – European Journal of Operational Research
Cited by: 281 · Year: 1999


A deterministic inventory model for deteriorating items with stock-dependent demand rate

S Pal, A Goswami, KS Chaudhuri – International Journal of Production Economics
Cited by: 269 · Year: 1993

Jeba Sonia J | Artificial Intelligence | Chemistry | Best Academic Researcher Award

Published-on by Indian Scientist

Dr. Jeba Sonia J | Artificial Intelligence | Chemistry | Best Academic Researcher Award

SRM Institute of Science and Technology, India

Dr. Jeba Sonia J is an accomplished academician and researcher in Computer Science and Engineering with extensive experience in teaching, mentoring, and curriculum development across undergraduate, postgraduate, and professional programs. Her academic background includes doctoral and postgraduate training in computer science. Her research interests span artificial intelligence, machine learning, deep learning, data science, computer networks, and wireless communications, with notable contributions through high-impact publications and patents. She has received prestigious fellowships, best paper recognition, and faculty excellence awards, demonstrating sustained excellence in research, teaching, and academic leadership.

Citation Metrics (Google Scholar)

220
160
10
5
0

Citations
209

h-index
8

i10index
7

Total Citations

h-index

i10-index

Featured Publications


Authentication of biometric system using fingerprint recognition with euclidean distance and neural network classifier


– International Journal of Innovative Technology and Exploring Engineering · Cited by 35


K-means clustering and SVM for plant leaf disease detection and classification


– International Conference on Recent Advances in Energy-efficient Technologies · Cited by 29


Green buildings and sustainable engineering


– Springer Transactions in Civil and Environmental Engineering · Cited by 15

Subhodeep Moitra | Artificial Intelligence | Young Researcher Award

Published-on by Indian Scientist

Mr. Subhodeep Moitra | Artificial Intelligence | Young Researcher Award

Techno College Hooghly | India

Subhodeep Moitra is a computer science researcher focused on advancing artificial intelligence through the fusion of human-like visual perception and cognition. His academic foundation spans computer applications at both undergraduate and postgraduate levels, where he built strong expertise in machine learning, deep learning, computer vision, neural networks, adversarial robustness, and cognitive modeling. His research explores self-supervised reconstruction, adversarial recovery, AGI-oriented theoretical computing, medical prediction systems, and environmental forecasting, with publications in journals, conferences, preprint platforms, and book chapters. He has contributed to projects ranging from temperature forecasting and brain-stroke detection to adversarially robust autoencoders and AGI theory. His professional experience includes serving as a visiting faculty member, teaching programming, mentoring research projects, and engaging in active collaborative work. His technical skills extend across Python, deep learning frameworks, MERN stack development, and cloud-based AI tools, supported by multiple certifications from NASA, NVIDIA, CERN, IBM, Oracle, and Coursera. He has presented papers at international conferences and earned best paper presentation awards for his contributions in machine learning–driven forecasting and adversarial perception. His long-term research interest lies in building unified AI systems capable of perceiving, reasoning, and adapting with human-inspired intelligence, aiming to push the boundaries of next-generation cognitive AI.

Profile: Google Scholar

Featured Publications

Moitra, S., & Banerjee, D. (n.d.). Robustness as Latent Symmetry: A Theoretical Framework for Semantic Recovery in Deep Learning. OSF.

Moitra, S., & Banerjee, D. (n.d.). Are We Even on the Right Track? A Theoretical Framework for AGI Beyond Classical Computation. Authorea Preprints.

Moitra, S., & Banerjee, D. (n.d.). Skip the Chaos: A Self-Supervised Learning-Powered Autoencoder for Adversarial Recovery. OSF.

Pintu, P., Subhodeep, M., & Deblina, B. (n.d.). The mystery of Neural Network: Linked with quantum mechanics and universe. ResearchGate.

Pal, P., Moitra, S., & Banerjee, D. (n.d.). The mystery of Neural Network: Linked with quantum mechanics and universe.

Runu Banerjee Roy | Artificial Intelligence | Best Researcher Award

Published-on by Indian Scientist

Dr. Runu Banerjee Roy | Artificial Intelligence | Best Researcher Award

Jadavpur University| India

Dr. Runu Banerjee Roy is a Professor in Instrumentation and Electronics Engineering at Jadavpur University, widely recognized for her contributions to electronic olfaction, taste sensing, molecular imprinting, sensor development, and artificial intelligence–based instrumentation. She has an extensive research profile with 1213 citations, an h-index of 17, and an i10-index of 25, reflecting her strong scholarly impact and research productivity. Her publication record includes more than 50 peer-reviewed journal papers, around 40 conference papers, multiple book chapters, and several patents that are granted, published, or filed. She has successfully guided doctoral and postgraduate research scholars and completed multiple sponsored research projects funded by major scientific agencies, focusing on portable sensing devices, electronic nose and tongue systems, and electrochemical detection technologies for applications in food quality and safety. In academics, she has served in leadership roles such as Head of Department, NBA accreditation coordinator, and curriculum committee member, contributing to program development and quality enhancement. Her work has earned recognition through competitive research awards, scientific prizes, and support for international research presentations. With strong expertise spanning instrumentation, intelligent sensing systems, and applied electronics, she continues to advance innovative research, academic excellence, and technology-driven solutions in modern sensor engineering.

Profile: Google Scholar | Scopus

Featured Publications

Roy, R. B., Tudu, B., Shaw, L., Jana, A., Bhattacharyya, N., & Bandyopadhyay, R. (2012). Instrumental testing of tea by combining the responses of electronic nose and tongue. Journal of Food Engineering, 110(3), 356–363.

Banerjee, M. B., Roy, R. B., Tudu, B., Bandyopadhyay, R., & Bhattacharyya, N. (2019). Black tea classification employing feature fusion of E-Nose and E-Tongue responses. Journal of Food Engineering, 244, 55–63.

Banerjee, R., Tudu, B., Bandyopadhyay, R., & Bhattacharyya, N. (2016). A review on combined odor and taste sensor systems. Journal of Food Engineering, 190, 10–21.

Roy, R. B., Chattopadhyay, P., Tudu, B., Bhattacharyya, N., & Bandyopadhyay, R. (2014). Artificial flavor perception of black tea using fusion of electronic nose and tongue response: A Bayesian statistical approach. Journal of Food Engineering, 142, 87–93.

Nag, S., Pradhan, S., Naskar, H., Roy, R. B., Tudu, B., Pramanik, P., … et al. (2021). A simple nano cerium oxide modified graphite electrode for electrochemical detection of formaldehyde in mushroom. IEEE Sensors Journal, 21(10), 12019–12026.

Shanmugam S | Machine Learning | Best Researcher Award

Published-on by Indian Scientist

Dr. Shanmugam S | Machine Learning | Best Researcher Award

SRM Institute of Science and Technology | India

Dr. Shanmugam S is an academic and researcher in the field of computing technologies with a focus on Artificial Intelligence and Machine Learning. His scholarly portfolio reflects professional engagement with advanced areas including Soft Computing, Transfer Learning, and Quantum Computing. He has completed his doctoral research in Information and Communication, supported by previous postgraduate and undergraduate education in computer science and information technology disciplines. His publication record includes 24 research documents, with 342 citations received from 322 referencing documents, supported by an h-index of 8, highlighting the relevance and impact of his contributions in the research community. He has accumulated significant teaching and research experience, handling courses such as Data Structures, Object-Oriented Programming, Big Data for Machine Learning, Software Engineering, Business Computing, and Philosophy of Engineering. His efforts extend to guiding students, contributing to departmental academic activities, and participating in various scholarly workshops, seminars, and conferences. His research interests continue to explore emerging computational paradigms and their applications in solving real-world challenges. He has received recognition for academic and research contributions, reinforcing his professional standing. Overall, his work contributes to the advancement of intelligent systems and computational innovation.

Profile: Scopus

Featured Publications

Role of hydroxychloroquine in primary glomerular disease – a systematic review and meta-analysis of the current evidence. BMC Nephrology. (2025).

Exploring the ability of emerging large language models to detect cyberbullying in social posts through new prompt-based classification approaches. Information Processing and Management. (2025).

Monika Goyal | Machine learning | Best Researcher Award

Published-on by Indian Scientist

Dr. Monika Goyal | Machine learning | Best Researcher Award

Dayananda Sagar University- India

Author Profile

📚Early Academic Pursuits

Dr. Monika Goyal’s academic journey began with a strong foundation in Electronics and Communication Engineering. She completed her B.Tech in Electronics & Communication Engineering from Jaipur Engineering College & Research Center, Jaipur, with a commendable 78.6%. Her enthusiasm for learning led her to pursue an M.Tech in Electronics & Communication Engineering at Malviya National Institute of Technology (MNIT), Jaipur, where she excelled with a CGPA of 8.5/10. Her quest for deeper knowledge continued as she embarked on a Ph.D. journey at G.D. Goenka University, Gurgaon, specializing in Medical Image Processing, Machine Learning, and Deep Learning. During her doctoral studies, Dr. Goyal made significant contributions to her field, including publishing two SCI-indexed papers and four Scopus-indexed papers.

🌟Professional Endeavors

Dr. Monika Goyal’s professional career spans over a decade, characterized by her role as an Assistant Professor in various esteemed institutions. She currently serves at Dayanand Sagar University, Bangalore, a position she has held since 2022. Her previous roles include serving as an Assistant Professor at Poornima University, Jaipur, and WCTM, where she significantly impacted the Electronics & Communication and Computer Science departments. Her career also includes tenure at Genba Sopanrao Moze College of Engineering, Pune, Swami Keshvanand Institute of Technology, Jaipur, and the Institute of Computer and Finance Executive (ICFE) Jaipur. Dr. Goyal’s diverse experience in teaching and administration has made her a valuable asset in the engineering education sector.

🔬Contributions and Research Focus

Dr. Goyal’s research interests lie primarily in the domains of Medical Image Processing, Machine Learning, and Deep Learning. Her work includes pioneering methods for tumor detection and contrast enhancement in medical imaging. Notable publications include her paper on “Optimum Contrast Enhancement for Tumour Detection” in the International Journal of Imaging System and Technology (SCI Indexed) and her contribution to “Deep learning for enhanced brain Tumor Detection and classification” published in Results in Engineering (Q1 SCI Indexed Journal). Her research on contrast enhancement techniques, such as the use of Range Limited Weighted Histogram Equalization, has been instrumental in advancing medical image analysis. Additionally, Dr. Goyal’s work on AI and machine learning applications reflects her commitment to pushing the boundaries of technology in healthcare.

🏆Accolades and Recognition

Dr. Goyal’s exceptional contributions to engineering education and research have earned her numerous accolades and recognition. Her academic achievements, including securing top ranks during her B.Tech, M.Tech, and Ph.D., highlight her dedication and excellence. Her research has been recognized through several prestigious publications and conference presentations. Dr. Goyal’s participation in faculty development programs and conferences further underscores her commitment to continuous learning and professional growth.

🌍Impact and Influence

Dr. Goyal’s impact extends beyond academia into practical applications in medical imaging and machine learning. Her research has contributed to improved diagnostic tools and methods, enhancing the quality of healthcare services. Her involvement in mentoring engineering students and guiding their career decisions reflects her influence on the next generation of professionals. By publishing in renowned journals and participating in international conferences, Dr. Goyal has established herself as a thought leader in her field, influencing both academic and industry practices.

🚀Legacy and Future Contributions

Looking forward, Dr. Monika Goyal aims to continue her contributions to the fields of Medical Image Processing and Artificial Intelligence. Her ongoing research and commitment to academic excellence position her as a key figure in advancing these areas. With a focus on innovative solutions and technological advancements, Dr. Goyal is set to leave a lasting legacy in both the academic and professional realms. Her future work promises to further enhance healthcare technologies and contribute to the broader scientific community. Her dedication to learning, teaching, and research ensures that she will remain a significant force in engineering education and scientific research.

Citations

A total of 128 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         128
  • h-index           10
  • i10-index         4

Notable Publications 

  • Deep Learning for Enhanced Brain Tumor Detection and Classification
    Authors: Agarwal, M., Rani, G., Kumar, A., Manikandan, R., Gandomi, A.H.
    Journal: Results in Engineering
    Year: 2024
  • Contrast Enhancement of Medical Images Using Otsu’s Double Threshold
    Authors: Vinay, R., Agarwal, M., Rani, G., Sinha, A.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024
  • Potential Exoplanet Detection Using Feature Selection, Multilayer Perceptron, and Supervised Machine Learning
    Authors: Sairam, K., Agarwal, M., Sinha, A., Pradeep, K.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024
  • Security, Privacy, Trust, and Other Issues in Industries 4.0
    Authors: Kumar, A., Ramachandran, M., Manjula, M., Pooja, Köse, U.
    Book Title: Topics in Artificial Intelligence Applied to Industry 4.0
    Year: 2024
  • Classification of Brain Tumor Disease with Transfer Learning Using Modified Pre-trained Deep Convolutional Neural Network
    Authors: Agarwal, M., Rohan, R., Nikhil, C., Yathish, M., Mohith, K.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024