Nano Science & Technology Consortium
Empowering Innovation Across Disciplines
A Deep Science Learning Organisation
Rated Excellent
250+ Courses
30,000+ Learners
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. Abhishek Aher is a Project Scientist at the Centre for Cellular & Molecular Biology. He received his Ph.D. Degree in anti-cancer research from Centre for DNA Fingerprinting & Diagnostics, Hyderabad, in 2023 and earned his postdoctoral from Lab of Immunology, CDFD Then working as a Project Scientist in CCMB. He has 9 Years of Experience in the field of Cancer drug discovery & development. His Area of Expertise includes Drug Discovery & Development for Cancer & Parkinson’s Disease. He is the author of 9 research articles many awards.
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. 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. Siva Mohan Reddy is an Associate Professor in the Department of Chemical Engineering at the Indian Institute of Technology Roorkee.She/he received his/her Ph.D. Degree in Chemical Engineering from Indian Institute of Science in 2013 and earned his/her postdoctoral from York University. Then he is working as a Faculty in Department of Chemical Engg, Indian Institute of Technology Roorkee from 2015 onwards. He/she is having 10 Years of Experience in the field of nanomaterial synthesis, bio- nanomaterials, nano-carbon materials for energy and environment. Her/his Area of Expertise includes: Nano carbon hybrid materials, H2 production from biomass, Biofuels, Bio- nanomaterials, Waste water treatment, Solid and liquid waste management, Nanocatalysts for energy and environment applications. She/he is the author of 50 international peer review journal papers, has ongoing/completed more than 3 crore grant from different funding agencies, and recipient of Young Influential Researcher – Asia 2023 by ACS.
Dr. Dimple Thakar is an esteemed Assistant Professor in Computer Science at Marwadi University, with a prolific 20-year academic career intertwined with over three years of industry experience in IT and software development. With a Ph.D. in Computer Science specializing in steganography, she is a recognized expert in her field.
Dr. Thakar has a deep commitment to education and research, reflected in her roles as Research Coordinator and NAAC criteria coordinator at the Faculty of Computer Application, where she also serves as the Program Coordinator for the BCA course. Her extensive teaching repertoire includes advanced subjects such as Data Structures, C#.NET, Design Analysis and Algorithms, and Object-Oriented Analysis and Design.
In her previous roles, she served as an Associate Professor at the Sunshine Group of Institutions, where she was also the Academic Head of the MCA department and coordinated various programs and cultural activities. Her early career includes significant stints as a lecturer at Geetanjali College and Matushri Virbai Mahila College, enriching her teaching experience.
Dr. Thakar is also notable for her contributions to the IT industry, having developed critical software solutions for sectors including banking and manufacturing, demonstrating her proficiency in a variety of programming languages and technologies.
Her scholarly contributions are substantial, with numerous papers published in international journals and conferences. She is an active member of the editorial board of the Journal of Applied Science and Engineering Research and serves as a reviewer and committee member on several international conferences.
A passionate mentor and educator, Dr. Thakar is dedicated to fostering research and academic excellence among her students, making her a vital asset to both her university and the broader academic and professional communities.
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.
I am Dr S Lekha Priyanka, a Doctoral Degree Holder in Agricultural Entomology with 3 Years of Teaching Experience & ASRB NET Qualified.
I can guide PG & PhD scholars in Agriculture for Thesis Writing & Data Analysis & Viva preparation.
Though I have completed a doctoral degree in Entomology, I can guide for writing thesis in all disciplines of Agriculture.
I can also handle Agriculture courses for B. Sc. (Agriculture) Students.
I have handled all the Under Graduate courses in Agricultural Entomology & Plant Nematology & Plant Pathology.
I can Teach in English, Tamil & Telugu.
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.
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. 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. Debasish Sarkar is a Professor in the Department of Ceramic Engineering at the National Institute of Technology, Rourkela, India. He received his Ph.D. degree in Ceramic Engineering from the National Institute of Technology, Rourkela, India, in 2007. He earned his postdoctoral from the Korea Research Institute of Standard and Science, Daejeon, South Korea. He then worked as a Professor at NIT for 14 Years. He has 26 Years of Experience in Nanoceramics, Bioceramics, and High-Temperature Ceramics. His Area of Expertise includes: Nanoparticles, Ceramic Processing and Fabrication, Microstructure and Mechanical Properties Simulation, and Design and Analysis of Structural Ceramics. He is the author of peer-reviewed 65 SCI publications, four books (CRC Press, Springer-Nature, Wiley), five book chapters, 6 National and International Patents, Govt. of India and Industry sponsored projects with a cost of more than Rs.3.5 crore, and recipient of the MRSI medal 2016, and many more.
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.



