Faculty Area: 2. University faculty

Prof (Dr) Shakti Kundu is with the Computer Science and Engineering area at NIIT University. He has more than 17 years of teaching experience during which he has guided three PhD candidates. His research interest is in Artificial Intelligence & Machine Learning, Data Science & Big Data Analytics, Web Data Mining and Agile Software Development. He has been invited to deliver talks at various international conferences and has published several research articles in reputed journals and conferences. Moreover, he has authored three books on Software Engineering and Digital Marketing. He also serves as member of review board of various peer-reviewed journals and conferences.

Mr Ruparnab Sengupta is an accomplished academician pursuing a Ph.D. degree in Management, in the area of Finance and Accounting, from ICFAI Business School, Hyderabad. He has published in reputed national and international journals as well as presented his research work in several national conferences. His research interests includes risk management, asset pricing and green finance.

Deepak Kumar Chakraborty has earned his BTech in ECE (Electronics and Communications Engineering) from Rajasthan Technical University, PG Diploma in IT Infrastructure Systems and Security from CDAC, Noida and MTech in Software Systems specializing in Cyber Security from BITS, Pilani. He has more than 8 years of diverse experience including industry. He has provided technical support to premier banks and Rajasthan Police for around 2 years and University experience at NIIT University guiding students to develop technical skills for over 5 years.

Mr Navin Chettri is an Assistant Professor in the Management Area at NIIT University. He holds a BCom (Hons) degree from St. Anthony’s College, Shillong, MCom (Accounting and Finance) from North Eastern Hill University, Shillong and an PGDCSR from IGNOU. He has submitted his PhD thesis and is awaiting the award from North Eastern Hill University, Shillong. His research contributions focus on Corporate Structure, Corporate Social Responsibility, Dividend Payout, Corporate Governance with publications in national and international journals of repute.

Dr. Rucilekha completed her PhD from the Institute of Science, Banaras Hindu University (BHU), Varanasi. Her research focused on developing affective and cognitive computing frameworks using machine learning and deep learning techniques. Her key areas of interest include emotional intelligence, affective computing, signal processing, image processing, and machine learning. She has worked extensively on emotion groups recognition using physiological signals such as EEG, EMG, EOG, GSR, etc. Her work has practical applications in human-machine interaction, healthcare, marketing, and humanoid technologies.

Dr Honey Sharma is an accomplished academician, researcher, and higher education leader with 19 years of extensive experience in teaching, research, and academic administration. His expertise spans a wide range of domains, including Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Conversational AI, Mathematics, Approximation Theory, and q-Calculus. Passionate about education and innovation, he is dedicated to fostering academic excellence, mentoring students, and advancing research in emerging technologies.

Mr Ayush Kumar Sharma is an Assistant Professor in Management (Finance) at NIIT University. He holds a BCom (Hons) degree from St. Xavier’s College, Kolkata, MCom (Accounting and Finance) from University of Calcutta and an MBA (Finance) from Suresh Gyan Vihar University. He is currently pursuing his PhD in Management (Finance) from Sir Padampat Singhania University, Udaipur. Apart from regular university degrees he has also completed his CA-Inter with articles, OT training and IT training. He has been actively involved in mentoring students, facilitating placements training, and conducting academic research. His research contributions focus on taxation laws, financial literacy, behavioural finance, digital skills and FinTech with publications in national and international journals of repute.

Ms Prachi Mehta is an Assistant Professor in Computer Science and Engineering Area at NIIT University. She is pursuing her PhD from CTAE, Udaipur where her research is focused on Artificial Intelligence and Machine Learning. She is passionate about exploring the societal impacts of AI technologies and aims to develop solutions that address real-world challenges. After completing her Masters, she worked as a lecturer at Poornima College of Engineering for 2 years. And she was the guest faculty at CTAE, Udaipur for 1 year, from where is pursuing her PhD as well. Currently she is teaching Machine Learning using Python and Artificial Intelligence at NIIT University.

Dr Abhishek Rawat is an Assistant Professor in the Geographic Information Systems area at NIIT University. He completed his PhD from IIT ISM (Dhanbad), with his research focused on seismic hazard assessment in northern Bihar using geospatial techniques. His research interests primarily revolve around environmental hazard assessment and the application of geospatial and image enhancement techniques.

Prof Gautham More, an alumnus of Bangalore University, is a Professor of Practice and Area Director of Educational Technology. With over 36 years of experience in Finance, Technology and ICT Education, he brings to NIIT University a wealth of expertise.
A banker turned education technologist, Prof. More’s passion for education started through several experiments with students in rural Karnataka which involved the use of technology as a tool in learning. From then on, his quest for impacting lives through education led him into various corporate roles in India and Africa.
His tenure at NIIT Ltd was at the Instructional Research & Development Division, then at NIIT Networks and finally NIIT School Learning Solutions. The stint at NIIT was embellished with multiple awards of Excellence that culminated in being a member of the Chairman’s Quality Club when he was Technology Head at School Learning Solutions.
With the intent of touching more young lives with quality education, Prof More moved to RUMI Education which was in the affordable school segment. As General Manager for Technology Initiatives, his solutions won the best Innovation award In Vocational Education & Skills Training at World Education Summit 2011.
His expertise in executing high volume ICT projects was leveraged next by Core Education & Technologies. As Senior Vice President for operations, he ensured that quality computer education was made a reality for more than 5 million students across the country with more than 35000 educators getting trained in ICT.
This capability then extended to the African continent, wherein, as Chief Executive Officer of STPL Global, he leveraged Ed-tech extensively to improve the quality of learning and instruction in schools in Nigeria.
He is currently involved in the Technical and Higher Education domain as well, notably with NIIT University where he is responsible for implementing Pedagogic innovations through an elaborate Learning Engineering framework called the Additive Curriculum. The industry is involved in mentoring students by providing real-industry problems along with the necessary technical tools and insights. This integration of learning and business processes through the Additive Curriculum prepares students to be industry ready.