DEEPAK SINWAR

About

Deepak Sinwar is an Associate Professor in the Department of IoT & Intelligent Systems at Manipal University Jaipur, Rajasthan, India. He also serves in an additional role as Deputy Director, Directorate of Quality and Compliance, Manipal University Jaipur, India. He received his Ph.D. and M.Tech. degrees in Computer Science and Engineering in 2016 and 2010, respectively, and earned his B.Tech. (Hons.) in Information Technology in 2008. With over 15 years of teaching experience, he is a dedicated and motivating academician. His research interests include meta-heuristics, ad hoc networks, data mining, reliability engineering, machine learning, and computer vision. He has published over 60 research articles in peer-reviewed journals, conference proceedings, and book chapters. Dr. Sinwar has made significant contributions to editorial and scholarly activities, including editing books and special issues with reputed publishers such as Taylor & Francis, Springer Nature, Wiley, and IGI Global. He has organized and participated in numerous international conferences and workshops. He is the founding convener of International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV). He holds Cisco Certified Instructor-level Training and is a is a Life Member of the Indian Society for Technical Education (ISTE).

Employment

• Manipal University Jaipur Associate Professor
  2022 - Present
• Manipal University Jaipur Assistant Professor
  2018 - 2022
• Amity School of Engineering and Technology Assistant Professor
  2018 - 2018
• BRCM College of Engineering and Technology Assistant Professor
  2011 - 2017

Education

• Jaipur National University Ph.D (CSE)
  2013 - 2016
• Guru Jambheshwar University of Science and Technology M.Tech
  2008 - 2010
• Technological Institute of Textile and Science B.Tech
  2005 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (62)

• QoS‐Driven Path Selection and Route Optimization in 5G C‐RAN Architecture Using Nature‐Inspired Algorithms
  International Journal of Communication Systems 2026 DOI: 10.1002/dac.70455
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• Empowering Image Captioning on Indian Remote Sensing Imagery Using Deep Learning
  Journal of the Indian Society of Remote Sensing 2026 DOI: 10.1007/s12524-025-02293-x
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• Evaluating Sub-THz Hardware Impairments on 6G Waveforms Using various Modulation Techniques
  2026 DOI: 10.1007/978-3-032-13102-7_22
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• Hi-STMNA-GCN: A Hierarchical Spatio-Temporal Multi-Neighbor Graph Convolutional Network for Robust Alzheimer’s Disease Detection From fMRI Data
  IEEE Access 2026 DOI: 10.1109/ACCESS.2025.3648664
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• Performance Evaluation of Tracking Filters for UAV Positioning Using 5G Signals in Urban Air Mobility Environments
  2026 DOI: 10.1007/978-3-032-13102-7_24
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• Downlink Throughput Analysis of 5G Standalone Architecture using n258, n78 and n28 Bands using Different QoS Flows
  Journal of The Institution of Engineers (India): Series B 2026 DOI: 10.1007/s40031-026-01357-x
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• Performance Analysis of Proactive Routing Protocols for Flying Ad-Hoc Networks Using Group Mobility Model
  International Journal of Networked and Distributed Computing 2025 DOI: 10.1007/s44227-025-00073-0
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• QoS-aware user association and RAT selection mechanism in 5G flow networks
  Cluster Computing 2025 DOI: 10.1007/s10586-025-05598-1
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• Enhancing kidney stone diagnosis with AI-driven radiographic imaging: a review
  Discover Artificial Intelligence 2025 DOI: 10.1007/s44163-025-00434-2
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• Comparison of Segmentation Algorithms for Extraction of Stone from Kidney X-ray Image
  2025 DOI: 10.1007/978-981-97-5200-3_26
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