Dr. Sajjan Singh
Chandigarh Group of Colleges, Lingaya's Vidyapeeth, Kurukshetra University, Maharishi Dayanand University
About
Dr. Sajjan Singh received his B.E degree in Electronics & Communication Engineering from M.D.U. Rohtak, India in 2004, M.Tech degree in Microelectronics & VLSI Design from University Institute of Engineering & Technology, Kurukshetra University, Kurukshetra, India in 2007 and Ph.D degree in the area of wireless communication at the Lingaya’s University, Faridabad, India in 2015. At present he is Professor & Head of the Electronics & Communication Engineering Department at Chandigarh Engineering College, Jhanjeri, Mohali, Punjab. He has more than 17 years teaching experience in the field of Electronics & Communication Engineering. He has published 47 research papers in various research reputed international and national journals. He has guided more than 20 M.Tech thesis and guiding 1 Ph.D student. He has reviewer of many SCI and Scopus index international journals like International journal of Electronics. He has organized many National level conferences and workshops sponsored through AICTE/ISTE and PTU. His research interests include all most all aspects of wireless communication with special emphasis on OFDM, MIMO-OFDM, SC-FDMA, Channel Modelling and IOT.
Employment
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Chandigarh Group of Colleges Professor & Head2017 - Present
Education
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Lingaya's Vidyapeeth Ph.D2010 - 2015
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Kurukshetra University M.Tech2005 - 2007
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Maharishi Dayanand University B.E.2000 - 2004
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- Human-Centric AI In Defence Operations and Soldier Health Management Save
- The Role of 6G Technologies in Advancing Smart City Applications: Opportunities and Challenges Save
- Determination of Accuracy of Neural Network Method Using Magnetic Resonance Images in Finding Liver Cancer Level Save
- Metasurface Instrumented High Gain and Low RCS X-Band Circularly Polarized MIMO Antenna for IoT Over Satellite Application Save
- Estimation of Channel for Millimeter-Wave Hybrid Massive MIMO Multimedia Systems using Sparse Bayesian Learning (SBL) Save
- Estimation of Channel for Millimeter-Wave Hybrid Massive MIMO Systems using Orthogonal Matching Pursuit (OMP) Save
- Massive MIMO Receiver Design and Analysis Save
- Massive MIMO System—Overview, Challenges, and Course of Future Research Save
- Medical Insurance Virtual Assistant: Vaidya Save
- The polyphages based data analysis model to enhance the security protection in multi model cloud storage systems Save