Nano Science & Technology Consortium
Empowering Innovation Across Disciplines
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Nano Science & Technology Consortium
Empowering Innovation Across Disciplines
Rated Excellent
250+ Courses
30,000+ Learners
95+ Countries
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Professor
Brown University, Saveetha University, Vellore Institute of Technology, UFPI
Assistant Professor
Saveetha Medical College and Hospital (SMCH) & Saveetha Institute of Medical and Technical Sciences (SIMATS)
Mentor At NSTC
Introduction to Data Mining & Warehousing
11/26/2025-11/28/2025Cost-Aware AI Training & Inference (ML FinOps)
-Regulatory Compliance with Generative AI
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Mr. Devinder Singh Anand is an Assistant Professor in the UILS Department at the Chandigarh University. He received his LL.M Degree from Panjab University in 2013 and submitted his Ph.D. Thesis in May 2024. He worked as a Lecturer in Various Companies/MNCs Since 2013. He has 11 Years of Experience in the field of Law. His Area of Expertise includes Criminal Law and Constitutional Law. He published more than 7 Research papers in renowned peer-reviewed journals and various papers presented at the National and International Conferences.
Partha Majumdar is the Managing Director of Majumdar Consultancy Pvt Ltd, a distinguished career that spans various countries and industries. With a keen eye for pattern recognition, he has overseen the development of over 10 Enterprise Class products deployed across 57 countries. He has collaborated closely with key ministries in 8 nations and more than 20 enterprises, leaving a significant mark at organizations such as Siemens, Amdocs, NIIT, Mobily, and JP Morgan Chase & Co. notably, he not only led system development but also managed highly profitable business units. Partha’s entrepreneurial spirit is evident as he successfully established three companies by 2023, operating in India, Dubai, and Saudi Arabia. His expertise extends to designing OLTP systems for diverse sectors, including Telcos, Hospitals, Tea Gardens, Factories, Travel Houses, and even Cricket tournaments. Since 2012, Partha has been deeply immersed in Data Products, Machine Learning, and Deep Learning, consistently contributing his pattern-finding skills to the development of Rapid Development Tools. Partha’s unwavering commitment to lifelong learning is underscored by his educational journey, which began with a Mathematics degree and culminated in a Doctorate in Business Administration from the Swiss School of Business and Management in Geneva. Along this remarkable path, he earned master’s degrees in Telecommunications and Computer Security, executive MBAs in Information Systems and Business Analytics, and advanced certificates in AI/ML/DL, Cyber Security, and Computational Data Sciences from esteemed institutions, including Manipal Academy of Higher Education, IIT Kanpur, and IISc Bengaluru.
Dr. Bandoo Chhagan Chatale is a distinguished figure in the pharmacy sector, celebrated for his visionary and mission-oriented approach. As the founder and mentor of Pharmacy Success Hub since July 2014, he has been a guiding force in empowering pharmacy professionals. He completed his Ph.D. in Pharmaceutical Chemistry from the Institute of Chemical Technology, Mumbai, in September 2020, after obtaining his master’s degree from NIPER, Mohali in June 2014. With a decade of experience in teaching and research, Dr. Chatale specializes in Computer-Aided Drug Design, taste masking, synthesis of small chemical entities, cocrystal formation, and Hot Melt Extrusion (HMT) Technology. His work extends into the innovative realms of Artificial Intelligence in Pharmacy and Healthcare. Dr. Chatale has authored six international research articles and holds a design patent granted by the UK government, marking significant contributions to his field.
Dr. Neeta Bhagat was Assistant Professor (Senior Grade) in the Department of Biotechnology at the Amity University. She received her Ph.D. Degree in Biomedical Sciences from Bundelkhand University in 2008. Then worked as a AP-III in AIB Institute for 15 years. She is having 22+ years of experience in the field of Microbiology, Biomedical Sciences, Pharmaceutical. Her area of expertise includes: Microbiology and Biomedical Sciences. She is the author of 20 +research articles and one book and guided PhD student, many M. Tech, M.Sc., B.Tech, B.Sc. students for project and dissertation work.
Dr. G. Reshma is an Assistant Professor in the Department of Information Technology at PVPSIT. She received her Ph.D. in Computer Science Engineering from Acharya Nagarjuna University in 2021 and worked as a Assistant Professor in PVPSIT Institute/University for 17 Years. She is having 8 Years of Experience in the field of Data Analytics. Her area of expertise includes: Predictive Analytics, Data Mining, Data Science, AI. She is the author of Prologue to Artificial Intelligence Techniques-Predicting the future. Recipient of Young Researcher Award 2020 by International Association of Research and Developed Organization on March 2020. A total of papers 14 in various SCIE, SCOPUS indexed, Springer Series AISC These publications have got 10 citations and h -index of 3.
Thomas J. Webster’s (H index: 129; Google Scholar) degrees are in chemical engineering from the University of Pittsburgh (B.S., 1995; USA) and in biomedical engineering from RPI (Ph.D., 2000; USA). He has served as a professor at Purdue (2000-2005), Brown (2005-2012), and Northeastern (2012-2021; serving as Chemical Engineering Department Chair from 2012 – 2019) Universities and has formed over a dozen companies who have numerous FDA approved medical products currently improving human health in over 20,000 patients. His technology is also being used in commercial products to improve sustainability and renewable energy. He is currently helping those companies and serves as a professor at Brown University, Saveetha University, Vellore Institute of Technology, UFPI, and others. Dr. Webster has numerous awards including: 2020, World Top 2% Scientist by Citations (PLOS); 2020, SCOPUS Highly Cited Research (Top 1% Materials Science and Mixed Fields); 2021, Clarivate Top 0.1% Most Influential Researchers (Pharmacology and Toxicology); 2022, Best Materials Science Scientist by Citations (Research.com); and is a fellow of over 8 societies. Prof. Webster and his team have over 1,350 publications with over 55,000 citations. He is a recent Nobel Prize in Chemistry Nominee.
A Cyber Law research scholar currently pursuing a PhD at the Faculty of Legal Sciences, School of Law, Shoolini University (Solan), with an LLM in Constitutional Law (CGPA 8.75) and a B.A. LL.B (Eco. Hons.) specializing in International Law. Their work explores the intersection of law and technology, including predictive policing, AI in justice delivery, cyber law compliance, and facial recognition. Recipient of the Prof. Keith Harris Award and a Best Paper Presenter Award, they also co-founded and led university legal aid initiatives.
Dr. Ramesh Kumar Singh is a retired Professor in the Department of Genetics and Plant Breeding at the Banaras Hindu University of Varanasi. He received his Ph.D. Degree in Genetics and Plant Breeding from Banaras Hindu University University in 1981. Then worked as a Professor in Genetics and Plant Breeding, Banaras Hindu University for 15 Years. He is having 36 Years of Experience in the field of Microbial Genetics. His area of expertise includes: Cell Biology, Plant-Microbe Interaction and Bacterial Genetics. He is recipient of many project grants from UGC, CSIR, Department of Biotechnology and Department of Science and Technology, guided 15 Ph.D students, published 45 research papers awarded with Biotechnology National Award.
Dr. A. O. Surendranathan is a Retired Professor in the Metallurgical & Materials Engineering Department of National Institute of Technology Karnataka. He received his Ph. D. Degree in Metallurgical Engineering from Mangalore University in 1994. Then continued to work as a Lecturer (Senior Scale) in National Institute of Technology for 2 Years. He is having 41 Years of Experience in the field of Metallurgical & Materials Engineering. His Area of Expertise includes Powder Metallurgy, Super plasticity, Lithium Battery, and Corrosion. He is the author of a book entitled, “An Introduction to Ceramics and Refractories”, recipient of 7 Project Grants. 7 awards etc.
Dr. Subarna Thakur is an Assistant Professor in the Department of Bioinformatics at the University of North Bengal. She received her Ph.D. Degree in Botany from the University of North Bengal in 2014 and then worked as a Post Doc in various institutes like JNU, Bose Institute and IRHS, Angers, France for 4 Years. She is having more than 10 Years of Experience in the field of Computational Biology and Genomics. Her Area of Expertise includes NGS Data analysis, Transcriptomics, Network Biology. She is the author of 10 original research articles in high-impact peer-reviewed journals.
Dr. Indra Neel Pulidindi works as an assistant professor at Saveetha Medical College and Hospital (SMCH) & Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, India. He serves as a Scientific Consultant at JSCIAR, India. He has also been rendering his services as a Visiting Professor at Mahatma Gandhi University, Kottayam, Kerala, in the research group of Professor Sabu Thomas. His specialisation lies in Composites (CFRPs), Biofuels and Biochemicals, Catalysis, Fuel Cells, Carbon materials and Heteropoly Acids. He has published 79 research papers, 8 books, 14 book chapters and secured a patent (6 patents filed). He has guided several PhD, Master’s and Undergraduate students. Given his vast teaching and research experience, Dr. Neel looks forward to adding value to esteemed institution, namely, SMCH and SIMATS where he is currently employed.
A motivated, detail-oriented Data Science enthusiast with hands-on experience building and deploying machine learning and NLP solutions. Proficient in Python, data preprocessing, and model optimization, with a focus on turning complex data into actionable insights. Experienced in creating interactive Streamlit dashboards to showcase AI applications clearly and effectively. Currently seeking an internship or entry-level role in Data Science or AI Engineering to contribute analytical thinking, creative problem-solving, and strong collaboration skills in an innovation-driven team.



