Nano Science & Technology Consortium
Empowering Innovation Across Disciplines
A Deep Science Learning Organisation
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95+ Countries
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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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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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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. Ratul Das is a distinguished Scientist specializing in Nanobiotechnology. With a PhD in Industrial Biotechnology (Product Development) from the University of Quebec, Canada, Dr. Das has established himself as a trailblazer in his field. His research experience spans 3.5 years at IIT Guwahati and includes groundbreaking work in developing nanoformulation for delivery to cancer cells. Dr. Das has an impressive publication record, with 70 peer-reviewed international research and review papers, including one edited book (Wiley). He has also contributed significantly to conferences and holds a US patent. As an Associate Fellow at TERI- Deakin Nanobiotechnology Centre (TDNBC), India, and an Honorary Fellow of IFM, Deakin University, Australia, Dr. Das supervised PhD students and collaborated on pioneering projects. He was one of the core members of the scientific team of TDNBC in preparing the national guidelines for evaluation of nano-based agri-input and food products published by the DBT, Govt. of India. He co-founded the prestigious journal ‘Nanotechnology for Environmental Engineering’ and serves as an Associate Editor. Dr. Das’s expertise extends beyond academia. He currently serves as an external consultant in the area of nano-induced health effects for ‘Save The Environment’ (STE), a non-government organization focusing on environment. Driven by his passion for innovation and commitment to the environment, Dr. Ratul Das continues to make remarkable contributions to the field of Nanobiotechnology.
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.
Dr. M. Prasad is a Professor in the Department of Computer Science & Engineering at Shri Vishnu Engineering College for Women (Autonomous), Bhimavaram, Andhra Pradesh. With 18+ years of teaching experience, including two years of international teaching in Ethiopia, he has guided 35+ UG/PG projects and currently supervises research scholars. A Google Android Educator, he conducts training on Google products across India and has mentored 150+ Google Certified Student Experts. He has published and presented 45+ research papers, organized 20+ academic events, and is a professional member of bodies including IEEE, ISTE, and CSI. His interests include ML, data mining, cloud, Android (Kotlin), MANETs, security, IoT, and visual analytics.
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. 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.
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. 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.
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.
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Dr. Mian Adnan Kakakhel is a Research Associate in the College of Hydraulic and Environmental Engineering at China Three Gorges University, Yichang, China. He earned his PhD from Lanzhou University (2022) and completed his postdoctoral research at China Three Gorges University (2025). With 3+ years of research experience in aquatic biology, toxicology, and nanotechnology, his work focuses on emerging pollutants, aquatic pollution, nano-toxicity, and fisheries-related research, including fish physiology and behavior.



