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
Dr. Atul Vashist is an Associate Professor in the Department of Biotechnology, School of Engineering and Allied Sciences (SEAS), Bennett University (Times of India Group), Greater Noida, India. He is the former Principal Scientist in the Department of Infection and Immunology, Translational Health Science and Technology Institute (THSTI), Faridabad, Haryana, India. He received his Ph.D. Degree in Biotechnology from National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra and earned his postdoctoral from All India Institute of Medical Sciences, New Delhi and Cornell University, Ithaca, USA. He has more than 15 years of research and teaching experience for conducting laboratory sessions in Microbial Genetics, Molecular Biology and Recombinant DNA Technology. His Area of Expertise include infectious diseases, molecular biology, protein chemistry, mycobacteriology, nuclear medicine, hydrogel technology. To date, he is the author of 20 research articles published in peer reviewed international Journals and authored Five Book Chapters etc.
Dr. Debika Bhattacharyya is a Professor in the CSE Department of IEM at the University of Engineering & Management. She received her Ph.D. in Engineering from Jadavpur University in 2007 and then worked as a Professor in CSE Institute for 22 Years. She is having 6 Years of Experience in the field of Data Science.
Her Area of Expertise includes: Data Science, Machine Learning, Python, Statistics for Data Science. She is the recipient of “Rashtriya Gaurav Award & Certificate of Excellence by India International Friendship Society”, New Delhi ,2019, Recipient of “Distinguished leader” in the engineering discipline by Venus International Foundations in 2018, and awarded as the “Best Teacher” in 2014 and in 2018 by Institute of Engineering & Management.
Dr. Deepak Gola is an Environmental Consultant in Trinity International, New Delhi. He received his Ph.D. Degree in Environmental Biotechnology from IIT Delhi in 2018. Then worked as an Assistant Professor at Noida Institute of Engineering and Technology (NIET) & IILM University Institute/University for 4 Years. He is having 6 Years of Experience in the field of Environmental Biotechnology and Nanotechnology His Area of Expertise includes: Wastewater Treatment, Nanotechnology, and Carbon footprint. He is the author of more than 50 journals and book chapters, a recipient of 2 consultancy project Grants, and multiple awards etc.
Dr. Anupriya Rana was working as “Scientist B” in the department of Patanjali Herbal Research Division, Patanjali Research Foundation, Haridwar, India. She received her Ph.D. Degree in Botany (Nanotechnology) from Gyan Vihar University, Jaipur in 2024. She has been an alumna of University of Delhi, Gargi College, 2016 batch and received an academic silver medal in her Masters in 2018. She had more than 6 years of research (Scientist B, Research Associate and DST Research Fellow) and academic experience. Her specialization is in Plant Nanotechnological research, Project coordination, Agri-Product Marketing, botanical studies, plant morphophysiological stress and mutations, Plant tissue culture and Biosynthesis. She has published 4 original articles and 1 book chapter.
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. Subas Chandra Dinda is a Professor & Dean in the School of Pharmacy at The Neotia University, Kolkata, West Bengal, India. He received his Ph.D. Degree in Pharmacy (Pharmaceutical Technology) from Jadavpur University in 2008 and honored with Life Fellow (F.I.C.) in 2008 from Institution of Chemists (India). Then worked as a Professor of Pharmaceutics/Pharmaceutical Technology in different Institute/University in India and abroad i.e., in Ethiopia for more than 25 Years. He is having 26 Years of Teaching-cum-Research Experience in the field of Pharmaceutical Technology. His Area of Expertise includes: Design and Development of Drug Delivery and Drug Targeting Systems such as Matrix, Gastro-retentive, Mucoadhesive and Nanotechnology based drug formulations for sustain and controlled drug delivery in drug targeting. He is the author of the book “Advances in Pharmaceutical Technology”, published more than 125 research articles in peer reviewed journals, supervised & awarded more than 25 Ph.Ds. under Berhampur University, Odisha, and recipient of many awards such as “Gold Medal for B.Pharm – 1996”; “Priyadarshini Indira Gandhi Award – 2005”; “Arch of Excellence (Education) Award – 2005”; “ISTE’S Rajalaxmi Memorial Best Teacher Award for Orissa State – 2006”; “APP’S Distinguished Teacher Award – 2015”, “VDGOOD’S Outstanding Scientist Award – 2019”, “APP’S Best Achiever (for Teaching & Research) Award – 2020”, and “Shiksha Bharati Award – 2021”.
An experienced agriculture professional with a strong background in agriculture, horticulture, and crop protection, along with expertise across allied agri-sectors. Skilled in supporting farm productivity through practical, field-driven solutions—spanning crop health management, sustainable practices, and stakeholder coordination. Focused on improving yields, quality, and long-term resilience in agricultural systems.
Dr. Kumar earned his PhD in Computer Science & Engineering (2021) from UPES, Dehradun, with research focused on semantic information extraction using deep learning, particularly for agricultural applications. He is also pursuing a postdoctoral fellowship at Universidad Internacional Iberoamericana, Mexico. A prolific researcher, he has published 21+ SCI/SCIE-indexed articles and additional Scopus publications, contributed to books and book chapters, and holds a granted patent. He has supervised PhD candidates and delivered workshops and T3 sessions in machine learning, business analytics, and optimization, with interests spanning deep learning, IoT, and cybersecurity.
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.
Mr. Selva Karthick M is a Quality Control Manager and Professor (Embryology Department) at OASIS Fertility, Hyderabad. He holds a B.Tech in Biotechnology and a PGDSCT in Stem Cells from Anna University and Loyola College (2005–2010). With 12 years of experience in IVF laboratories, he has worked as a Lab Manager and QC Manager, supporting quality systems and laboratory performance in assisted reproduction. His expertise spans stem cells, IVF lab quality management, and AI applications in reproductive medicine, and he has authored a book chapter on Artificial Intelligence in Assisted Reproductive Technology.
Dr. Ali H. Wheeb is a Professor in the Computer Engineering College of Engineering at the University of Baghdad. He earned his PhD in Electrical and Electronic Engineering (2024) from UKM University and brings 10 years of experience in computer engineering along with 16 years in academia. His expertise spans computer engineering and networking, UAV systems, UAV routing protocols, and machine learning, including reinforcement learning. He has published widely and has received research grants and awards.
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.



