FACULTY & MENTORS

 Meet the Minds Behind Your Learning Experience.

Dr DAYANAND AMBAWADE

Ph D Computer Science

Associate Professor of Computer Science & Engineering at S.P.I.T. With over 27 years of experience in the field of Electronics & Telecommunications, Computer Science & Engineering, Dr Ambawade has dedicated his career to advancing knowledge and innovation in areas critical to the digital age. His expertise are in Computer Networking, Cyber Security, Digital Forensics, Blockchain, Cloud Computing – AWS, Containerization and Dev Ops, Network Monitoring and Management.

Mrs NEHA URADE

M Sc (MATHS), Post Grad Cert in Data Science from IIM Nagpur

Neha is data science professional and an Al proficient holding 7+ years of working experience in optimizing algorithms and passionate about building models that can fix complications and improve the accuracy. Relevant skills include prompt engineering, Generative Al and LLM modelling, model finetuning, business understanding, data analysis, Machine learning.

DR. PRANAV NERURKAR

M TECH (CSE), PH.D., VJTI, MUMBAI

Pranav Nerurkar is PhD in Computer Engineering from VJTI Mumbai and is currently Adjunct Faculty at Bharatiy Vidhyabhavan’s Sardar Patel Institute of Technology, Mumbai. He has done Post-doctoral research at Dupuyde Lome Research Institute (IRDL) of University Bretagne Sud, France. His current research areas include Deep Learning, Machine Learning, the Internet of Things, and Block chain.

DR. TEJASHREE MOHAREKAR

MCA, NET, PH.D

Dr. Tejashree is PhD in Data Science from Shivaji University, Kolhapur. Her Research area is in Data Science and Machine Learning. She has been awarded with Dr. B.R. Ambedkar National Research Fellowship. She is serving as an Assistant Professor in Sivaji University. Her Research Publications are 15+ in International and National Conferences and journals.

DR.ARUNA PAVATE

PH.D Computer Science

Dr. Aruna , Associate Professor in IT at Thakur College of Engineering and Technology, Mumbai, holds a Ph.D. in Information Technology (2023). With extensive academic and research experience, she specializes in medical image processing, machine learning, AI in healthcare, and adversarial robustness. Author of 20+ journal and 35 conference papers, she serves as reviewer for IEEE Access and Elsevier journals. She has multiple patents in AI-driven healthcare and IoT automation.