Runu Banerjee Roy | Artificial Intelligence | Best Researcher Award

Published-on by Indian Scientist Awards

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 Awards

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).

Tejinder Kaur | Computer Science | Best Researcher Award

Published-on by Indian Scientist Awards

Dr. Tejinder Kaur | Computer Science | Best Researcher Award

MM Institute of Computer Technology & Business Management | India

Dr. Tejinder Kaur is an accomplished academic and researcher in Computer Science and Engineering, currently serving as an Associate Professor with extensive teaching and research experience in artificial intelligence, machine learning, big data, and software engineering. She holds a Ph.D. from Thapar University and an M.Tech from Chandigarh University, with postdoctoral research in progress from a reputed public university. Her work has earned significant scholarly recognition with over 54,815 citations, an h-index of 65, and an i10-index of 148, reflecting her impactful contributions to scientific research and innovation. Dr. Kaur has authored and reviewed numerous research papers and book chapters and has guided several postgraduate theses in areas like vehicular networks, routing protocols, and wireless sensor networks. Her research interests span artificial intelligence, IoT, cybersecurity, and advanced computing systems. She has published over 277 papers, filed and been granted multiple national and international patents, and received prestigious awards, including honors from IEEE, Infosys, and SAP. A committed educator and innovator, Dr. Kaur continues to inspire through academic excellence and research leadership. Her outstanding academic record, extensive publication portfolio, and technological innovations highlight her as a dynamic professional dedicated to advancing computing and intelligent systems.

Profiles: Google Scholar | Scopus

Featured Publications

Abbott, B. P., Abbott, R., Abbott, T. D., Abernathy, M. R., Acernese, F., Ackley, K., et al. (2016). Observation of gravitational waves from a binary black hole merger. Physical Review Letters, 116(6), 061102. https://doi.org/10.1103/PhysRevLett.116.061102

Aasi, J., Abbott, B. P., Abbott, R., Abbott, T., Abernathy, M. R., Ackley, K., Adams, C., et al. (2015). Advanced LIGO. Classical and Quantum Gravity, 32(7), 074001. https://doi.org/10.1088/0264-9381/32/7/074001

Abbott, B. P., Abbott, R., Abbott, T. D., Abernathy, M. R., Acernese, F., Ackley, K., et al. (2016). GW151226: Observation of gravitational waves from a 22-solar-mass binary black hole coalescence. Physical Review Letters, 116(24), 241103. https://doi.org/10.1103/PhysRevLett.116.241103

Abbott, R., Abbott, T. D., Acernese, F., Ackley, K., Adams, C., Adhikari, N., et al. (2023). GWTC-3: Compact binary coalescences observed by LIGO and Virgo during the second part of the third observing run. Physical Review X, 13(4), 041039. https://doi.org/10.1103/PhysRevX.13.041039

Abbott, B. P., Abbott, R., Abbott, T. D., Abernathy, M. R., Acernese, F., Ackley, K., et al. (2016). Tests of general relativity with GW150914. Physical Review Letters, 116(22), 221101. https://doi.org/10.1103/PhysRevLett.116.221101

Vaijayanthimala Jayavel | Artificial Intelligence | Best Researcher Award

Published-on by Indian Scientist Awards

Dr. Vaijayanthimala Jayavel | Artificial Intelligence | Best Researcher Award

Dhirajlal Gandhi College of Technology| India

Dr. J. Vaijayanthimala is a dynamic academic and researcher recognized for her extensive contributions in computer science and engineering, particularly in artificial intelligence, image processing, sensor networks, and intelligent computing systems. Her Google Scholar profile records 16 total citations with an h-index of 2 and i10-index of 0, reflecting her growing scholarly influence across interdisciplinary domains. She has published widely in reputed journals including the ECS Journal of Solid State Science and Technology and Journal of The Electrochemical Society, with research spanning photonic biosensors, AI-based news aggregation, virtual reality accessibility, and smart agriculture. She has co-authored and authored multiple technical books on AI, machine learning, database systems, and data structures, demonstrating her commitment to quality education and knowledge dissemination. Her innovations include patents in automated voice recognition and eco-friendly 3D printing technology. A recipient of the “Innovative Technologist and Dedicated Teaching Professional Award,” she actively contributes as a reviewer for Springer Nature and Elsevier journals. With research interests that merge intelligence, automation, and sustainable technology, Dr. Vaijayanthimala continues to advance computational research and inspire the next generation of scholars.

Profile: Google Scholar

Featured Publications

Vaijayanthimala, J., Pon Bharathi, A., Ramkumar Raja, M., & Arun Kumar, U. (2024). Enhanced sensing of diseased blood samples through one-dimensional MgO-SiO2 photonic crystal sensor. Journal of The Electrochemical Society, 171(10), 107505.

V.M. Manish, J. Vaijayanthimala. (2014). Diminution of packet drop by efficient selection of network route in MANET. International Journal of Computer Science Information Technology (IJCSIT), 5, 1852–1855.

Vaijayanthimala, J., Vaishnavi, K., & Arun Kumar, U. (2025). High-sensitivity terahertz metasensor for cervical cancer diagnosis: Graphene modulation and XGBoost-assisted optimization. Sensors International, 2666–3511, Article 2666.

Vaijayanthimala, J., Alam, M.K., Shqaidef, A., & Mahmoud, O. (2024). Performance evaluation of refractive index biosensor in THz regime for clinical applications: A simulation approach. ECS Journal of Solid State Science and Technology, 13(10), 107005.

Vaijayanthimala, J., & Padma, T. (2019). Synthesis score level fusion based multifarious classifier for multi-biometrics applications. Journal of Medical Imaging and Health Informatics, 9(8), 1673–1680.

Sri Vasavi Chandu | Computer Science | Best Researcher Award

Published-on by Indian Scientist Awards

Ms. Sri Vasavi Chandu | Computer Science | Best Researcher Award

SRM University AP, India

Author Profile

SCOPUS

🎓 EARLY ACADEMIC PURSUITS

Sri Vasavi Chandu began her academic journey in the field of Computer Science and Engineering with a consistent track record of academic excellence. During her undergraduate studies at SRM University, AP, she demonstrated a strong aptitude for core computing principles, programming, and data science. Her curiosity-driven approach during her formative years laid the foundation for her engagement in cutting-edge research, innovation projects, and interdisciplinary collaboration.

🏢 PROFESSIONAL ENDEAVORS

Chandu is currently an Associate Software Engineer at Accenture, where she works in the domain of SAP ABAP and SAP HANA. Her responsibilities include development, testing, and debugging of enterprise-level ABAP applications, working across modules such as Smart Forms, ALE, IDOC, ALV, Function Modules, CDS Views, and Object-Oriented Programming in SAP environments.

She has also interned with:

  • Oasis Infobyte Pvt. Ltd – where she developed responsive web pages using HTML, CSS, and JavaScript, aligning with modern frontend design practices.

  • SRM University Research Internship – contributing to advanced research in relation extraction using knowledge graphs.

  • Twowaits Technologies Pvt. Ltd – where she implemented a cryptography-based encryption-decryption tool and built structured assessment platforms using Python.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN COMPUTER SCIENCE

Chandu’s research interests span multiple domains in computer science, including:

  • Federated Learning

  • Natural Language Processing

  • Cybersecurity and Intrusion Detection

  • Machine Learning Algorithms

  • Knowledge Graphs and Information Retrieval

Her major projects include:

  • Fake News Detection using Federated Learning: Implemented advanced models like LSTM, BERT, and SVM, and deployed a verification website.

  • Music Genre Prediction using Machine Learning: Built multi-model classifiers and used PCA for effective dimensionality reduction.

  • ArtVista Art Gallery Website: Designed a dynamic, feedback-driven art portfolio website using frontend technologies.

  • Event Management System: Developed a backend-intensive platform using MySQL with optimized data storage.

  • Advanced Calculator: Built an intelligent calculator in Python supporting complex operations and robust error handling.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

Chandu has contributed to high-quality publications in reputable international journals and conferences:

  • 📄 “Federated Learning in the Detection of Fake News: A Survey” – Elsevier

  • 📄 “Evaluating the Effectiveness of Machine Learning Algorithms for Network Intrusion Detection” – Springer Nature

  • 📄 “A Survey on Extraction of Relations using Knowledge Graphs in Various Applications” – IEEE

She has also completed professional programs and certifications including:

  • J.P. Morgan Software Engineering Virtual Experience on Forage

  • 21st Century Core Employability Skills Certificate by Skill AP (APSSDC)

  • Participant in Microsoft’s AI Skills Fest, which contributed to a Guinness World Record

🌍 IMPACT AND INFLUENCE

Chandu’s work aligns with global needs for responsible AI, misinformation control, and decentralized data protection. By tackling contemporary issues like fake news detection and network security, she aims to develop transparent, ethical, and explainable AI models. Her participation in international platforms, including Microsoft’s AI Skills Fest, underscores her commitment to leveraging technology for societal good.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Sri Vasavi Chandu is driven by a vision to bridge academic research and real-world application. She is actively shaping her future contributions toward building secure, decentralized, and trustworthy AI systems. With an expanding portfolio of AI-driven solutions and a strong foundation in enterprise technologies, she is poised to contribute to:

  • Federated and Edge AI Systems

  • AI for Social Impact

  • Intelligent Information Extraction

  • Responsible Machine Learning Practices

 ✅CONCLUSION

A driven technologist, research contributor, and solution architect in the making, Sri Vasavi Chandu represents a new generation of engineers who combine technical depth with social consciousness. Her trajectory showcases a commitment to learning, interdisciplinary problem-solving, and real-world innovation. Her future promises impactful contributions across both academia and industry.

🔬NOTABLE PUBLICATION:

Federated Learning in the Detection of Fake News: A Survey
Author: Sri Vasavi Chandu
Journal: Elsevier
Year: 2025

Evaluating the Effectiveness of Machine Learning Algorithms for Network Intrusion Detection
Author: Sri Vasavi Chandu
Journal: Springer Nature Switzerland
Year: 2024

A Survey on Extraction of Relations using Knowledge Graphs in Various Applications
Author: Sri Vasavi Chandu
Journal: IEEE
Year: 2023