Dr. Ashish Bagwari
Government Women Institute of Technology, Women Institute of Technology
About
Dean, Academics and Research, Former Head, Department of Electronics and Communication Engineering, Women Institute of Technology (State Government Institution), Uttarakhand Technical University (State Government Technical University), India
Dr. Ashish Bagwari received B. Tech. (with Honors), M. Tech. (with Honors and Gold Medalist), and Ph.D. degrees in Electronics and Communication engineering in 2007, 2011, and 2016 respectively. He is currently working as a Head for the Department of Electronics and Communication Engineering at Women Institute of Technology (WIT) (Institute of State Government) Dehradun, Affiliating Institution of Uttarakhand Technical University (State Government Technical University), Dehradun, India. He has more than 12.0 years of experience in industry, academics, and research. He received the Best WIT Faculty award in 2013 and 2015 and Best Project Guide Award in 2015. Dr. Bagwari has been awarded by the Corps of Electrical and Mechanical Engineers Prize from the Institution of Engineers, India (IEI) in December 2015 for his research work and was named in Who’s Who in the World 2016 (33rdEdition), 2017 (34th Edition). Also, received Outstanding Scientist Award 2021 from VDGOOD Technology, Chennai, India in November 2021, and Dr. A.P.J. Abdul Kalam Life Time Achievement National Award 2022 from National Institute for Socio Economic Development (NISED), Bangalore, India in June 2022.
Dr. Bagwari has published more than 115+ research articles in various international journals (including SCI, Scopus, and ISI indexed) that also include IEEE international conferences (https://scholar.google.co.in/citations?hl=hi&user=6kYT6h0AAAAJ). His areas of interest are cognitive radio networks, mobile communication, sensor networks, wireless, and 5G Communication, digital communication, mobile ad-hoc networks, etc. Dr. Bagwari is an active member of various professional societies like Institute of Electrical and Electronics Engineers (IEEE, USA) as a Senior Member, Institute of Electronics and Telecommunication Engineers (IETE), India as a Fellow, professional member of ACM (Association for Computing Machinery), member of Machine Intelligence Research Laboratory Society, member of International Association of Engineers, etc. He has also been an Academic Editor of Mobile Information Systems, Hindawi, SCI indexed journal (https://www.hindawi.com/journals/misy/editors/), Academic Editor of International Journal of Wireless Communications and Mobile Computing, Wiley-Hindawi, SCI indexed journal (https://www.hindawi.com/journals/wcmc/editors/), an advisor, and a reviewer of several well-known international journals published by IEEE, Taylor & Francis, Springer, Elsevier, IJCCN, ISTP, IJATER, JREEE, JCSR, and JNMS, CICN-2011, 2013, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, CSNT-2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, ICMWOC-2014, I4CT'2014, and ICEPIT-2014. Dr. Bagwari is a member of the Board of Studies (BoS) of Dr. B.A. Technological University, Lonere, Maharashtra, Uttarakhand Technical University (UTU), Dehradun, and Uttaranchal University (UIT), Dehradun, etc. for the departments of Electronics & Communication Engineering. Dr. Bagwari has organized 04 international conferences, 20+ workshops/ symposium, 08 Short Term Course Program (STCP)/ Faculty Development Program (FDP) program, 12 expert lectures and has been invited as a key-speaker, session chair in various workshops/conferences and delivered 17 expert lectures at different institutions and universities within India. Dr. Ashish has visited china in the year 2007 when he associated with the Reliance industry, Mumbai, India. Dr. Ashish filled 01 and granted 01 Indian patents and currently, pursuing various research projects/ consultancies funded by the Government of India/ Private Organizations. Dr. Ashish has assessed and evaluated more than 07 Post-graduate student’s projects (at M.Tech. Course Level) and 16 under-graduate student’s projects (at B.Tech. Course Level), guided 01 Ph.D. student and guiding 03 Ph.D. students, and evaluated/ reviewed 09 Ph.D. thesis as an external examiner. He has written five books and more than 10 book chapters in reputed international publishers. Dr. Ashish is also leading certain special issues such as "Radio Networks for new Disruptive Digital Services in Fourth Industrial Revolution" as a “Lead Guest Editor” at “Computers, Materials & Continua (CMC) Journal”, Tech Science Press, USA, which is SCIE Q1 indexed Journal with Impact Factor: 3.772 (https://techscience.com/cmc/special_detail/radio-networks). Special issue on “Applications of Cognitive Radio in Emerging Technologies" as a “Lead Guest Editor” at “International Journal of Distributed Sensor Networks”, SAGE Publication, UK, which is SCIE Q1 indexed Journal with Impact Factor: 1.640
Employment
-
Government Women Institute of Technology Dean2026 - Present
-
Women Institute of Technology Head2012 - 2026
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (72)
- Data-driven modeling of Si-graphene nano optical antenna with high-isolation for 6G communication system Save
- Modelling of a two-port patch antenna with metasurface absorber using machine learning algorithms Save
- Design and Optimization of Dielectric Resonator-Based Two-Port Filtering Radiator With Machine Learning for Sub-6 GHz 5G Wireless Applications Save
- Intelligent Computational Model for Energy Efficiency and AI Automation of Network Devices in 5G Communication Environment Save
- Multimodal Hate Speech Detection in Memes Using Contrastive Language-Image Pre-Training Save
- Convoluted Meander Line-Inspired Metallic Surface Filter for Bluetooth and WLAN Bands Save
- The Effect of Using Intelligent Transportation Systems on Transportation-Sustainable Development in Egypt Save
- The Effects of Implementing the Advanced Cargo Information (ACI) System on Egyptian Importers Save
- An Enhanced Energy Optimization Model for Industrial Wireless Sensor Networks Using Machine Learning Save
- Explainable AI for Enhanced Interpretation of Liver Cirrhosis Biomarkers Save