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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Principal Scientist
CSIR – Central Scientific Instruments Organisation (CSIR-CSIO), Chandigarh
Professor
Brown University, Saveetha University, Vellore Institute of Technology, UFPI
Scientific Technical Officer
Reinste Nano Ventures Pvt. Ltd.| Jaypee Institute of Information Technology
Prof. (Dr.) Kamini Chauhan Tanwar is a distinguished academician and researcher in Behavioral and Allied Sciences. She currently serves as Professor and Head of the Department at the Amity Institute of Clinical Psychology, Amity University, Haryana. With over two decades of experience, she has held prominent positions, including Associate Dean at K.R. Mangalam University and Officiating Dean at SGT University, where she implemented NEP 2020 guidelines, supervised Ph.D. scholars, and introduced innovative academic programs.
Dr. Tanwar earned her Ph.D. in Child Psychology from Aligarh Muslim University, focusing on socially withdrawn behavior among children. Her research interests span clinical psychology and behavioral sciences, with over 29 published papers in reputed journals, authored books, and several psychometric tools developed under her name. She has presented more than 40 research papers globally and has been honored with awards such as the Dr. Sarvepalli Radhakrishnan Best Teacher Award (2021).
As a leader, Dr. Tanwar has been instrumental in establishing counseling centers, psychological labs, and advanced training programs. She actively contributes as an editor for leading journals and holds memberships in esteemed organizations like the American Psychological Association (APA). A dedicated educator and innovator, she continues to inspire the academic and research community with her expertise and vision.
Dr. Kusuma Jagadish is a Postdoc in the Department of Materials Engineering at the Indian Institute of Science, Bengaluru, India. She received her Ph.D. Degree in Nanotechnology from Jain (Deemed-to-be) University in 2020 and earned her postdoctoral from Indian Institute of Science, Bengaluru, India. She is having nine (9) Years of Experience in the field of Material Science/Nanotechnology. Her Area of Expertise includes: Material Synthesis – Energy materials and Photovoltaics (Third generation solar cells)
She is the author of 21 articles published in peer reviewed journals and recipient of WISE- KIRAN PDF awards, 2024.
Mrs. Gurpreet Kaur holds an MCA degree from Punjab Technical University (2010) and has over 7 years of IT industry experience as a Senior Software Developer in various companies. Her expertise lies in front-end technologies, data structures, and algorithms (DSA).
Dr. Galiveeti Poornima is a distinguished academician and researcher specializing in Machine Learning (ML) and Deep Learning. With a Ph.D. in Computer Science from Presidency University, Bengaluru, she has devoted her research to pioneering advancements in Signed Language Recognition, particularly for Indian Sign Languages. Her expertise extends to the application of ML and AI in healthcare, IoT, and cybersecurity, where she has contributed significantly to the development of intelligent systems for medical diagnostics and social media analytics.
Dr. Pooja Devi is a Principal Scientist at CSIR-Central Scientific Instruments Organisation, Chandigarh. She is affiliated with the Materials Science and Sensor Application Department of CSIR-CSIO. She received her Ph.D. Degree in Engineering (Materials) from the Academy of Scientific and Industrial Research, New Delhi in 2018. She has been working as a scientist at CSIR-CSIO since 2010. She is having 12 years of experience in the field of materials. Her major research interest includes materials design for green hydrogen production, water/air pollutants degradation, and water pollutants monitoring, materials engineering, techniques, and associated affordable and portable devices development for water pollutants detection, degradation, green hydrogen production, air purification, etc. She has filed 03 patents, 02 design registration, 01 copyright, transferred 02 technology, published 84 international high-impact publications, edited 07 books, 22 book chapters, 90 conference papers, and delivered 60 invited/oral talks. She has received funding/fellowships from DST, SERB, CSIR, ACS, IUSSTF, etc., for various projects. She is also a recipient of several prestigious awards and fellowships including NASI Young Scientist Platinum Jubilee Award (2021), IEI Young Engineer Award, INAE Young Engineer Award (2020), SERB Women Excellence Award (2020), Young Associateship of Indian Academy of Science (2019-22), Haryana Yuva Vigyan Ratan Award (2019), Young Scientist Award (2019) from Indian Science Congress Association, Young Scientist Award (2019) from International Society for Energy, Environment and Sustainability, IUSSTF Water Advanced Research and Innovation (WARI) fellowship (2017), Canadian Commonwealth Fellowship (2010), GC Jain Memorial Award (2020) by MRSI, PITTCON- Travel Grant (2018) from American Chemical Society, SERB International Travel grant, etc.
I am working as a Scientist at D-Nome Pvt.Ltd., which is incubated at university of Hyderabad.
I received my bachelor’s Degree in Biochemistry & Chemistry from University of Kashmir in 2018 and earned my master’s in Biochemistry from the same university. Then worked as project associate in Molecular Biology lab at Indian Institute of science Bangalore for 4 Years. I am having 4 Years of Experience in the field of Molecular Biology. My area of Expertise include Molecular Biology and Genetic Engineering.
Dr. Chitra Dhawale is a Professor in the Science and Technology Department of Datta Meghe Institute of Education and Research (Deemed to be University). She received her Ph.D. Degree in Computer Science from S.G.B.Amravati University in 2009. She is having 25+ years of teaching and research experience in computer science. Her area of Expertise includes: Data Science, Machine Learning, Deep Learning, Python Programming, R Programming, Tableau. She/he is the author of 02 books, 08 book chapters and 78 research papers.
Dr. Mohd Zamir Pakhuruddin is currently the Director at Institute of Nano Optoelectronics Research and Technology (IDNOR) and a lecturer at School of Physics, Universiti Sains Malaysia (USM), Penang, Malaysia. He spent about 8 years in industry as a Senior Engineer of Photolithography and Sputtering (R&D) in SilTerra and Fuji Electric, Kulim Hi-Tech Park respectively. He received his PhD in Photovoltaics Engineering at University of New South Wales(UNSW), Australia. His expertise is in Photovoltaic materials and devices (PVMD). His current research includes black silicon, perovskite and organic solar cells for conventional, solar windows and indoorphotovoltaic applications. To date, he has published more than 40 research papers in the field of photovoltaic. He has been a keynote speaker and an invited speaker in international conferences, seminars and trainings on topics related to the physics of solar cells, optics and light-trapping, photovoltaic technologies andphotovoltaic manufacturing. He is a Professional Technologist (Ts.) in Green Technology, which is awarded by Malaysia Board of Technologists (MBOT).
MR. SYED KRAR HAIDER BUKHARI is Lecturer in the Department of Computer Science and associated with Faculty of Computer Science and Information Technology, Superior University, Lahore. He received the Master of Science degree in computer science (MSCS) from FAST NUCES Islamabad, Pakistan in 2022. He has 5+ years of experience in Artificial Intelligence, machine learning, image processing, computer Vision, deep Learning ,NLP and Generative AI.He is currently working as an Data Scientist at digital DirAction. He is mentor and AI / ML Trainer at DirAction. He worked remotely as an AI / ML engineer at TPL UK based company. He is Editorial Board Member at STM Journals. He also worked remotely as an AI / ML engineer. He recived distinguished awards in research funds for his publications.His research publication includes in the areas of artificial intelligence, machine learning, image processing, computer Vision, NLP, and deep learning.
Advocate with expertise in Legal Research, Teaching, and Litigation, passionate about the intersection of Law and Artificial Intelligence.
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.
Dr Garima Singh is a Research Scholar in biomaterials and biopolymers at Jaypee Institute of Information Technology and a Scientific Technical Officer at Reinste Nanoventures. Her work focuses on bacterial cellulose, nanomaterials, and functional biomaterial development. She has authored multiple research papers and book chapters, presented her work at national and international conferences, and contributes to projects involving advanced coatings, sensors, and sustainable material applications.



