Computer Science & Engineering and Information Technology (CSE&IT)

Dr. Hari Singh

Dr. Hari Singh
Assistant Professor (SG)
( 91) 01792-239296
hari.singh@juit.ac.in
For More Information Click here


Biography :

Dr. Hari Singh is PhD, M.Tech and B.Engg. (Honors) in Computer Science & Engineering. He has a teaching experience of 17+ years at PIET, Panipat (July 2016 – July 2018) and NCCE, Panipat (September 2001 – July 2016), that includes a significant administrative and research experience. His areas of interest are Distributed and Parallel Computing, Grid Computing, Cloud Computing, Machine Learning , Programming and logic development. He has many awards, honors and recognitions to his credit. He delivered several invited/expert talks on recent research topics at renowned institutes and universities. He has published around 18 research papers in SCI/Scopus, peer-reviwed International Journals and book chapters. He has also presented and published around 24 research papers in National/International Conferences. He has also worked as editor of proceedings of various International/National Conferences. He has attended/participated in around 30 workshops at reputed Institutes/Universities/Organizations. He has organized several Conference / Seminar / Workshops. He has supervised 10 M.Tech Thesis/Dissertations. He has also handled an AICTE sponsored research project under the RPS scheme and one consultancy project. He has been a member of professional societies such as CSI, ISTE, etc. He has been a member/reviewer of 02 Scopus-Indexed journals – International Journal of Electrical and Computer Engineering (IJECE) and Bulletin of Electrical Engineering and Informatics (BEEI).

Research Interests:

 Distributed and Parallel Computing, Grid Computing, Cloud Computing, Machine Learning, Programming and logic development.

 

Open Project Titles:

1. Sentiment analysis on twitter dataset using classification algorithms on Apache Spark

2. Computer aided diagnostics system for disease prediction using deep learning

3. Disease prediction using machine learning classificatin algorithms

4. Improving efficiency of Apche Spark by tuning its internal parameters

Author Publication Profile:
Book(s) :
Book Chapter(s) :
Journal(s) :
Conference(s) :