Dharmendra Kumar | Antenna Design for Communication System | Best Researcher Award

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Dr Dharmendra Kumar | Antenna Design for Communication System | Best Researcher Award

Assistant Professor at National Institute of Technology, India

Dr. Dharmendra Kumar Jhariya is an Assistant Professor in the Department of Electronics and Communication Engineering at the National Institute of Technology (NIT) Delhi, India. He is an accomplished researcher and academician with significant contributions in RF & Microwave Circuits, UWB Bandpass Filters, Antenna Design, and the integration of Machine Learning for modern communication systems. Dr. Jhariya is recognized for his innovative work in ultra-wideband filter design and antenna miniaturization, as well as for applying IoT technologies in smart agriculture and water/soil monitoring.

Professional Profile

Scopus

Orcid

Education & Experience 

  • Bachelor of Engineering (B.E.) in Electronics and Communication Engineering, Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal, India — 76.69% (Honours), 2009.

  • Master of Technology (M.Tech.) in Digital Systems (ECE), Motilal Nehru National Institute of Technology (MNNIT), Prayagraj, India — 73.30%, 2011.

  • Doctor of Philosophy (Ph.D.) in RF & Microwave Circuits, Indian Institute of Technology (IIT) Kharagpur, India — 70%, 2017.

    • Thesis: Analysis and Design of Ultra-Wideband Bandpass Filters

    • Supervisors: Prof. (Dr.) Akhilesh Mohan & Prof. (Dr.) Manoranjan Sinha.

Professional Development 

  • Assistant Professor, NIT Delhi — Since Dec 2019.

  • Senior Assistant Professor, Jaypee Institute of Information Technology, Noida — July 2017 to Dec 2019.

  • Assistant Professor, NIT Raipur — Feb 2017 to June 2017.

  • Assistant Professor, Dehradun Institute of Technology, Dehradun — July 2011 to July 2012.

In addition, Dr. Jhariya has taught and guided numerous undergraduate and postgraduate students, contributing to academia through high-quality research and collaborative projects funded by reputed government agencies like DST.

Research Focus 

  • RF & Microwave Engineering: Ultra-Wideband (UWB) Bandpass Filters, Differential Bandpass Filters, Slot Resonators.

  • Antenna Design: MIMO Antennas, Miniaturized UWB Antennas with Band-Notch Characteristics.

  • Machine Learning: Application in design optimization of antennas and filters.

  • IoT Applications: Smart agriculture, water and soil monitoring.

  • Advanced Circuit Design: Reconfigurable Microwave Filters, Low-Noise Amplifiers, High-Speed Digital Circuits.

Awards and Honors

  • Fellow Member, IETE (2024)

  • Senior Member, IEEE (2021)

  • Best Paper Presentation Awards at multiple prestigious conferences: ICSC-2022, UPCON-2016, Research Scholar Day IIT Kharagpur.

  • MHRD Fellowship during M.Tech. and Ph.D.

  • GATE Qualified (87.77% in ECE, 2009, IIT Roorkee).

  • Multiple patents including a granted patent for Four-Port Microstrip Inset-Fed MIMO Antenna for UWB Applications (2025).

Publication Top Notes

📄 Design and Optimization of Broadband Circular Polarized Miniaturized UWB Antenna using Machine Learning
AEU International Journal of Electronics and Communications (Elsevier) — 2025
🔗 DOI: [Link Disabled]

📄 A Compact E-Shaped MMR Wideband Bandpass Filter with Notched Band Utilizing SIR
National Academy Science Letters (Springer Nature) — 2025
🔗 DOI: [Link Disabled]

📄 A Compact Differential Wideband Bandpass Filter with Good Out-of-Band Performance
Electromagnetics (Taylor & Francis) — 2025
🔗 DOI: [Link Disabled]

📄 Comprehensive Framework and Classification of Advanced Artificial Intelligence and Machine Learning Modelling Techniques
In CRC Press (Taylor & Francis) Group — December 2024
ISBN: 9781003581246
🔗 DOI: https://doi.org/10.1201/9781003581246

Conclusion

Dr. Dharmendra Kumar Jhariya has established himself as a dedicated academic and researcher with an excellent record of publications in high-impact journals (Elsevier, Taylor & Francis, Springer) and conferences (IEEE). His multidisciplinary research bridges cutting-edge microwave engineering with practical IoT solutions for societal challenges. His commitment to education, impactful research, and international collaboration continues to contribute significantly to the advancement of electronics and communication engineering.

ZHOU HANG | Intelligent transportation | Best Scholar Award

Published on by Global CAD Awards

 

Assoc. Prof. Dr ZHOU HANG| Intelligent transportation | Best Scholar Award

Director,Beijing Jiaotong University,

Dr. Zhou Hang is a dedicated scholar with significant contributions to signal processing, pattern recognition, and computer vision. His career exhibits:

  • Long-term dedication to teaching and mentoring.

  • Proven research outputs in gesture recognition and digital systems.

  • Active national and international academic involvement.

  • Recognition through multiple awards and roles in influential academic bodies.

Publication Profile
Publication : 

  • Zhou Hang (2014). A Novel Algorithm of Edge Location Based on Omni-directional and Multi-scale MM. Journal of Computers, 9(4), 990–997.

  • Zhou Hang (2013). Synchronous Digital Transmission Technology. Science Press, ISBN 978-7-03-033541-8, China.

  • Zhou Hang (2014). Insect detection algorithm based on associated optical flow tracking. Journal of Gansu Agricultural University, 49(3), 171–175.

  • Zhou Hang (2014). New Edge Detection Method Based on Omni-directional and Multi-scale Mathematical Morphology. Journal of Chinese Computer Systems, 35(5), 1196–1200.

  • Zhou Hang (2012). Body Gait Tracking with a Fisher Discriminance on Feature Analyse. In Proceedings of ICSP 2012, Beijing, Vol. 2, 1156–1159.

  • Zhou Hang (2012). A Novel Uncalibrated Human Hand Tracking Based on Transition Model. In Proceedings of ICSP 2012, Beijing, Vol. 2, 1239–1242.

  • Zhou Hang (2010). A New Approach of Hand Tracking Based on Integrated Optical Flow Analyse. In Proceedings of ICSP 2010, Beijing, Vol. 2, 1194–1197.

  • Zhou Hang (2009). An OPS Hand Tracking Algorithm Based on Optical Flow. In Proceedings of WCSE 2009, Xiamen.

  • Zhou Hang (2007). Bare-hand alphabets gesture recognition based on VCM and ROI segmentation. Journal on Communications, 28(5), 94–100.

  • Zhou Hang (2007). SBB based Complex Background Recognition System on Hand Gesture Input. Journal of the China Railway Society, 29(5), 54–59

conclusion:

Yes, Dr. Zhou Hang is a suitable candidate for the “Research for Best Scholar Award.”
His body of work demonstrates depth, consistency, and societal relevance, particularly in the application of signal processing to intelligent systems. He would be a strong contender, particularly if his recent research activities and measurable impact metrics (e.g., citations, patents) are well documented in the nomination.