Chellavelu Vijayakumaran | Computer Vision | Research Excellence Award

Published-on by Indian Scientist

Dr. Chellavelu Vijayakumaran | Computer Vision | Research Excellence Award

SRM Institute of Science and Technology | India

Dr. Rajesh Pandiyan is a dedicated researcher and academic with expertise spanning microbiology, biochemistry, materials engineering, and pharmaceutical technology. He has served in progressive teaching and research roles across leading institutions, contributing significantly to interdisciplinary advancements. His research journey includes extensive work in nanocomposite-based ultrafiltration membranes, magnetic nanomaterials for targeted drug delivery, medicinal plant-based therapeutics, and biochemical models for autoimmune and inflammatory diseases. He has also worked on environmental biotechnology, wastewater remediation, tissue engineering, and drug discovery. With a strong academic foundation built through doctoral and postgraduate training in microbiology, biochemistry, and chemistry, he has developed a wide research portfolio combining materials chemistry with biological applications. His scholarly contributions include 67 peer-reviewed research and review articles, supported by an H-index of 19, i10-index of 27, and more than 1300 citations, reflecting global recognition of his work. He has delivered invited talks, chaired scientific sessions, and served as a resource person for various scientific forums, in addition to contributing as an editorial member for reputed journals. His awards span excellence in research, oral and poster presentations, and international recognition for scientific contributions. Overall, his work integrates innovation and multidisciplinary approaches aimed at solving challenges in healthcare, environment, and materials science.

Profile: Google Scholar

Featured Publications

Vijayakumaran, C., Muthusenthil, B., & Manickavasagam, B. (2020). A reliable next generation cyber security architecture for industrial internet of things environment. International Journal of Electrical and Computer Engineering, 10(1), 387.

Alagurajan, M., & Vijayakumaran, C. (2020). ML methods for crop yield prediction and estimation: An exploration. International Journal of Engineering and Advanced Technology, 9(3), 1–5.

Karthikeyan, L., Vijayakumaran, C., Chitra, S., & Arumugam, S. (2021). Saldeft: Self-adaptive learning differential evolution based optimal physical machine selection for fault tolerance problem in cloud. Wireless Personal Communications, 118(2), 1453–1480.

Chinnappa Annamalai, H. K., Vijayakumaran, C., & Vijayakumar, P. (2023). Optimal ElGamal encryption with hybrid deep-learning-based classification on secure Internet of Things environment. Sensors, 23(12), 5596.

Sweetline, B. C., Vijayakumaran, C., & Samydurai, A. (2024). Overcoming the challenge of accurate segmentation of lung nodules: A multi-crop CNN approach. Journal of Imaging Informatics in Medicine, 37(3), 988–1007.

Vaijayanthimala Jayavel | Artificial Intelligence | Best Researcher Award

Published-on by Indian Scientist

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.

Atul Kumar Gupta | Artificial Intelligence | Best Researcher Award

Published-on by Indian Scientist

Dr. Atul Kumar Gupta | Artificial Intelligence | Best Researcher Award

Sharda University, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Atul Kumar Gupta laid a strong academic foundation by pursuing a Ph.D. in Biotechnology, coupled with a Post Graduate Diploma in Business Administration (PGDBA) with a specialization in Operations Management. His multidisciplinary education enabled him to integrate scientific rigor with operational precision, allowing him to bridge the gap between research and applied industrial processes effectively.

🏢 PROFESSIONAL ENDEAVORS

With over a decade of professional excellence, Dr. Gupta has served in leading roles across prestigious institutions. He currently holds the position of Deputy General Manager at Sharda Research and Analytical Foundation and serves as Head of the Central Instrumentation Facility at Sharda University, Greater Noida.

Previously, he was associated with reputed organizations such as:

  • Vimta Labs Ltd.

  • CTC Analytical Services

  • Intertek India Pvt. Ltd.

He has managed various departments, including Analytical Chemistry and Microbiology, providing high-precision testing services for food safety and environmental compliance.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ARTIFICIAL INTELLIGENCE

While rooted in biotechnology and analytical sciences, Dr. Gupta’s current research directions include integrating Artificial Intelligence (AI) in analytical instrumentation and data processing. His approach leverages omics technologies (genomics, proteomics, metabolomics) supported by AI tools to:

  • Enhance predictive analytics in food safety.

  • Develop automated diagnostic frameworks.

  • Streamline big data evaluation for agricultural biotechnology.

His innovative efforts aim to merge biological systems understanding with AI to drive precision agriculture and intelligent food analysis.

🏅 ACCOLADES AND RECOGNITION

  • Young Scientist Award by the Society of Plant Biochemistry and Biotechnology

  • Expert Review Panel Member at AOAC (Bromoform, ETO/ECH)

  • Certified Food Analyst under FSSAI regulations

  • NABL Empanelled Technical Assessor (ISO/IEC 17025:2017)

  • Invited Trainer for HPLC by Ministry of Public Health & GAIN (Afghanistan)

  • Member of prestigious bodies: Indian Science Congress, AOCS, AOAC Southeast Asia, Cereals & Grains Association, etc.

🌍 IMPACT AND INFLUENCE

Dr. Gupta’s influence extends across academia, industry, and global development platforms:

  • Invited twice to France for specialized training.

  • Appointed as Trainer by the Ministry of Public Health, in collaboration with GAIN Afghanistan, to train professionals on HPLC and its applications in the food and pharma industries.

  • Conducted FSSAI-sponsored workshops and seminars that bridged scientific research with regulatory frameworks.

  • Actively engaged as a NABL Technical Assessor and FSSAI Food Analyst, ensuring analytical laboratories meet ISO/IEC 17025:2017 standards.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Gupta’s legacy lies in his unique ability to merge analytical chemistry, biotechnology, and AI-powered solutions for food safety and agricultural sustainability. He continues to work toward:

  • Developing automated detection systems for contaminants.

  • Advancing AI-integrated omics platforms.

  • Promoting global food quality standards through scientific diplomacy.

With deep expertise in mycotoxins, pesticides, antibiotics, heavy metals, nutraceuticals, and health supplements, he is shaping the future of safe and sustainable food systems.

 ✅CONCLUSION

Dr. Atul Kumar Gupta represents the new wave of translational scientists who transform research into real-world impact. With a balanced blend of scientific scholarship, leadership in analytical sciences, and a forward-looking embrace of AI, Dr. Gupta is leaving a significant imprint on the fields of biotechnology, food safety, and environmental monitoring.

🔬NOTABLE PUBLICATION:

Nutraceutical Value of Finger Millet [Eleusine coracana (L.) Gaertn.], and Their Improvement Using Omics Approaches
Authors: A. Kumar, M. Metwal, S. Kaur, A.K. Gupta, S. Puranik, S. Singh, M. Singh, …
Journal: Frontiers in Plant Science
Year: 2016

De Novo Assembly and Characterization of Developing Spikes Transcriptome of Finger Millet (Eleusine coracana): a Minor Crop Having Nutraceutical Properties
Authors: A. Kumar, V.S. Gaur, A. Goel, A.K. Gupta
Journal: Plant Molecular Biology Reporter
Year: 2015

Differential Expression of PBF Dof Transcription Factor in Different Tissues of Three Finger Millet Genotypes Differing in Seed Protein Content and Color
Authors: N. Gupta, A. Kumar Gupta, N.K. Singh, A. Kumar
Journal: Plant Molecular Biology Reporter
Year: 2011

Antibacterial and Antifungal Activity in Leaf, Seed Extract and Seed Oil of Seabuckthorn (Hippophae salicifolia D. Don) Plant
Authors: A.K. Sanjay Mohan Gupta, Atul K. Gupta, Zakwan Ahmed
Journal: Journal of Plant Pathology & Microbiology
Year: 2011

In Vivo Evaluation of Hypoglycemic Activity of Aloe spp. and Identification of Its Mode of Action on GLUT-4 Gene Expression In Vitro
Authors: R. Kumar, B. Sharma, N.R. Tomar, P. Roy, A.K. Gupta, A. Kumar
Journal: Applied Biochemistry and Biotechnology
Year: 2011

Understanding the Differential Nitrogen Sensing Mechanism in Rice Genotypes Through Expression Analysis of High and Low Affinity Ammonium Transporter Genes
Authors: V.S. Gaur, U.S. Singh, A.K. Gupta, A. Kumar
Journal: Molecular Biology Reports
Year: 2012