Dr. Santosh Kumar
Also known as: Academician
Graphic Era University, Graphic Era Deemed to be University, Indian Institute of Technology, Roorkee, Graphic Era Institute of Technology
0000-0002-1008-0804
About
Santosh Kumar received Ph.D. from IIT Roorkee (India) in 2012, M. Tech. (CSE) from Aligarh Muslim University, Aligarh (India) in 2007 and B.E. (IT) from C.C.S. University, Meerut (India) in 2003. He has more than 16 years of experience in teaching/research of UG (B. Tech.) and PG (M.Tech.) level courses as a Lecturer/Assistant Professor/ Associate Professor/ Professor in various academic /research organizations. He has supervised 03 Ph.D. Thesis and 24 M.Tech Thesis and presently mentoring 07 Ph.D. students (singly and jointly). He has also completed a consultancy project titled “MANET Architecture Design for Tactical Radios” of DRDO, Dehradun in between 2009-2011. He is an active reviewer board member in various national/International Journals and Conferences. He has memberships of ACM (Senior Member), IEEE, IAENG, ACEEE, ISOC (USA), and contributed more than 80 research papers in National and International Journals/conferences in the field of Wireless Networks, Machine Learning, WSN, IoT, Software Engineering and Grid Computing and Software Engineering. Currently holding the position of Professor in the Graphic Era Deemed to be University, Dehradun (India). His research interest includes Wireless Networks, Machine Learning, WSN, IoT, and Software Engineering.
Employment
-
Graphic Era University Professor2019 - Present
-
Graphic Era Deemed to be University Professor2010 - 2019
-
Graphic Era Institute of Technology Assistant Professor2007 - 2008
-
Mangalayatan University Lecturer2007 - 2007
-
Aligarh College of Engineering and Technology Lecturer2006 - 2007
Education
-
Indian Institute of Technology, Roorkee PhD2008 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (30)
- Selective Metaheuristic Union with Threshold Optimization (SMUTO) for enhanced detection of black pepper adulteration Save
- An efficient machine learning framework for optimizing hyperspectral data analysis in detecting adulterated honey Save
- A Hybrid Deep BiLSTM-CNN for Hate Speech Detection in Multi-social media Save
- IMTIBOT: An Intelligent Mitigation Technique for IoT Botnets Save
- RFDCS: A reactive fault detection and classification scheme for clustered wsns Save
- A Framework for Data Prediction and Forecasting in WSN with Auto ARIMA Save
- Dynamic Kernel CNN-LR model for people counting Save
- Incremental Outlier Detection in Air Quality Data Using Statistical Methods Save
- Prediction of Environmental Pollution Using Hybrid PSO-K-Means Approach Save
- FEHCA: A Fault-Tolerant Energy-Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks Save