Arvind W Kiwelekar is working as a Professor in Computer Engineering and Dean (Value Education and Social Responsibility). He has about thirty years of teaching and research experience. His research areas of interests include diverse topics such as Artificial Intelligence, Blockchain Technology, ICT for Sustainable Development (ICT4D), Learning analytics, Machine Learning, Ontological Modelling, and Software Architecture. He has published seven book chapters and 25 research publications in leading conferences and journals. He received research fellowships from IBM, Indian Academy of Sciences and MHRD.
He is graduated with PhD (2012) from Indian Institute of Technology Bombay, ME from VJTI (1999) and B E (1991) from Marathwada University.
He is the founding Head of the Department of Computer Engineering at DBATU for twenty years. He was Registrar of the DBATU for three months. He also served for a short duration on research projects at C-DAC and TIFR.
He received grants to establish Teachers Training Center at DBATU under PMMMNMTT and ATA Freight to establish industry-sponsored research programs. The alumni of DBATU has constituted an award naming after him ‘AWK prize’ to recognize his dedicated efforts for teaching at DBATU.
My Recent Publications
- A paper authored by Arvind W Kiwelekar, Swanand Navandar and Dharmendra K Yadav A Two-Systems Perspective of Computational Thinking has been presented in the Special Session on Cognitive Learning Analytics held in the 12th International Conference on Intelligent Human-Computer Interaction (IHCI2020) at Exco-Daego South Korea from 24th to 26th November 2020.
- A book chapter authored by Arvind W Kiwelekar, Sanil Gandhi, Laxman D Netak and Shankar B Deosarkar on Use-cases of Blockchain Technology for Humanitarian Engineering in the book titled Information and Communication Technologies for Humanitarian Services edited by Muhammad Nazrul Islam, Publisher: IET Publication.
- A book chapter authored by Arvind W Kiwelekar, Geetanjali Mahamunkar, and Laxman Netak, and Valmik B. Nikam titled
Deep Learning Techniques for Geospatial Data Analysis in the book onMachine Learning Paradigms – Advances in Theory and Applications of Deep Learning Publisher: Springer.
Ongoing Course (September 2020 to Jan. 2021)
Arvind W Kiwelekar
Department of Computer Engineering
Dr. Babasaheb Ambedkar Technological University
Lonere 402 103 Dist Raigad (MS) India