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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Associate Professor
Compucom Institute of Technology and Management (CITM), Jaipur, Rajasthan
Ayan Chawla is a Cloud Solution Architect specializing in Data & AI, with a proven track record of assisting at Top reputated Global MNC.
Dr. Mahima Sharma is an Associate Professor in the Science and Humanities Department (Physics) of Compucom Institute of Technology and Management (CITM), Jaipur, Rajasthan. She received her Ph.D. Degree in Nanoscience and Nanotechnology from Amity Institute of Nanotechnology, Amity University Uttar Pradesh, Noida in 2020. Then worked as a Lecturer in Government Engineering College, Jhalawar Rajasthan for 3 Years. she is having 7 Years of Experience in the field of physics. Her Area of Expertise includes: Nanotechnology, Water Remediation, Nanocomposites, Functional Nanomaterials, Synthesis of Nanomaterials, Characterization of Nanomaterials, Photocatalysis, Adsorption.
Dr. Debashree De is a seasoned scientific writer (Ex-novartis) with 15 years of research experience. She received her Ph.D. Degree in Structural Biology and Biochemistry from CSIR-Indian Institute of Chemical Biology in 2012 and earned her postdoctoral from Centro di Rierca E. Menni, Fondazione Poliambulanza- Istituto Ospedaliero, Brescia, Italy. She worked as a Scientific Research Writer and Lead Development Manager for BrainAura, a startup company based out of India and the UK and also as a senior scientific writer in novartis. She has 15 Years of Experience in the field of peptide biochemistry. Her area of expertise includes: Structural biology and biochemistry, Scientific writing, Real World Evidence. She is the author of 14 publications (manuscripts, reviews, book chapters) with one of her review article on her research being the focus of a news article . She is also the member of prestigious peptide societies, reviewer of journal PlosOne as well as the recipient of CSIR and ICMR senior fellowships. She has successfully optimized methodologies for the study of amyloid beta aggregate destabilization on Surface Plasmon Resonance (published).
Dr. Rajasekhar Reddy Poonuru is a Professor in the Pharmaceutics Department of St. Peter’s Institute of Pharmaceutical Sciences at the Kakatiya University. He received his Ph.D. Degree in 2017 from Jawaharlal Nehru Technological University, Hyderabad in 2017. Then worked as a Associate Professor in St. Peter’s Institute of Pharmaceutical Sciences University for 20 Years. He is having 20 Years of Experience in the field of Pharmaceutics His Area of Expertise includes: Novel Drug delivery systems, Coprecipitates, Solubility Enhancement, Bioavailability Improvisation, Brain drug delivery and Topical and transdermal drug delivery systems. He is the author of several articles in national and international Peer review Journals recipient of Received 4.2 lakhs grant from TSCOST for carrying research titled “A Cost Effectiveness Analysis of Rosuvastatin against Atorvastatin in The Primary and Secondary Prevention of Cardiovascular diseases And Stroke” and 3 Lakhs grant for conducting CEP by Pharmacy Council of India titled “New Paradigms in Teaching — Learning Process; Best oral presentation award at 73rd Indian Pharmaceutical Congress, 2024, Hyderabad; Best Poster Presentation at NIPER, Hyderabad 2023 Etc.
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.
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.
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. 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. Shiv Kumar Verma is a Professor in the Department of Computer Science and Applications at Sharda University. He earned his PhD in Mathematical Computing from IIT Roorkee (2014) and completed his postgraduate studies in Computer Applications from IIT Roorkee. With 25 years of experience across mathematics and computer science, his expertise includes machine learning, medical imaging, and mathematical computing, with strong experience in teaching, research, and academic leadership.
Dr. Rini Chaturvedi is a DST Inspire Faculty in the Department of Microbiology at the All India Institute of Medical Sciences, New Delhi. She received her Ph.D. Degree in Structural parasitology from ICGEB, New Delhi University in 2021 and earned her postdoctoral from university of ICGEB, New Delhi. She is having 13 Years of Experience in the field of Molecular medicine. Her Area of Expertise includes: Structural Parasitology, Drug Discovery, Public Health, Immunology, epigenetics. She is the author of 21 research articles, DST INSPIRE Faculty grant recipient, Young Scientist award, etc.
He received his Ph.D Degree in Carbon based Nanomaterials from IIT, Bombay in 1997 and earned his postdoctoral from University of Namur (Belgium) 1997-1998 and Nagoya University (JAPAN) in 1998-1999 under JSPS Program. Then joined as a Research Scientist in DMSRDE, DRDO, Kanpur in 1999. He is having 28 Years of Experience in the field of Carbon based Nanomaterials. His Area of Expertise includes: Synthesis and Application of Carbon based Nanomaterials. He is the author of 78 peer reviewed journal papers, 7 book chapters and have 19 granted patents. He is recipient of DRDO Young Scientist Award 2001 and B. D. Bangur Award 2019 from Indian Carbon Society.
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.



