Malghalara Kakar | Cognitive Radio Networks | Research Excellence Award

Published on by Global CAD Awards

Research Excellence Award

Malghalara Kakar
Affiliation BUITEMS – Balochistan University of Information Technology, Engineering and Management Sciences
Country Pakistan
Scopus ID 57205062746
Documents 1
Citations 6
h-index 1
Subject Area Cognitive Radio Networks and Wireless Communication
Event Global Cad Awards

Malghalara Kakar
 BUITEMS, Quetta, Pakistan.

Malghalara Kakar is affiliated with BUITEMS – Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan. Her scholarly profile is associated with wireless communication systems, cognitive radio technologies, Bayesian game theory applications, and user behavior analysis within spectrum mobility environments. Her published work contributes to the growing field of intelligent communication systems and spectrum optimization research in cognitive radio networks.[1]

Abstract

This article presents an academic overview of the research contributions and scholarly profile of Malghalara Kakar in the field of cognitive radio networks and wireless communication systems. Her published research focuses on Bayesian game-based user behavior analysis for spectrum mobility in cognitive radios, contributing to advancements in intelligent communication protocols, spectrum efficiency, and adaptive wireless systems. The study reflects interdisciplinary integration between communication engineering, probabilistic modeling, and intelligent spectrum management methodologies.[2]

Keywords

Cognitive Radio; Wireless Communication; Bayesian Game Theory; Spectrum Mobility; User Behavior Analysis; Spectrum Optimization; Intelligent Networks; Dynamic Spectrum Access; Communication Engineering; Adaptive Wireless Systems.

Introduction

Cognitive radio technology has emerged as a critical research area within modern wireless communication systems due to increasing demands for spectrum efficiency and intelligent network management. Contemporary communication research emphasizes adaptive spectrum allocation, spectrum mobility optimization, user behavior prediction, and interference reduction strategies. Bayesian game theory has become an important analytical framework for modeling decision-making and behavioral interactions within dynamic spectrum environments.[3]

Within this research domain, Malghalara Kakar has contributed to the analysis of spectrum mobility in cognitive radio systems through Bayesian game-based methodologies. Her work addresses user behavior dynamics and intelligent communication strategies in adaptive wireless environments.[2]

Research Profile

Malghalara Kakar is associated with BUITEMS – Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan. Her Scopus profile identifies scholarly activity in wireless communication engineering and cognitive radio research, with emphasis on Bayesian game theory applications for spectrum mobility analysis.[1]

Her academic contribution is represented through a peer-reviewed publication in the journal Physical Communication, demonstrating engagement in intelligent communication systems research and adaptive wireless network methodologies.[2]

Research Contributions

Kakar’s primary research contribution involves Bayesian game-based user behavior analysis for spectrum mobility in cognitive radios. This research explores intelligent decision-making mechanisms and adaptive spectrum management strategies within wireless communication environments.[2]

The study contributes to communication engineering by examining how user behaviors influence dynamic spectrum access and mobility optimization in cognitive radio systems. Bayesian modeling techniques within the research framework support efficient spectrum allocation and intelligent wireless network adaptation.[4]

Her work further contributes to interdisciplinary communication research integrating wireless engineering principles, probabilistic analysis, behavioral modeling, and intelligent communication protocol development.[3]

Publications

  • Kakar, M., et al. “Bayesian game-based user behavior analysis for spectrum mobility in cognitive radios.” Physical Communication, 2019.

The publication reflects research engagement in intelligent communication systems, spectrum management optimization, and adaptive wireless communication technologies.[2]

Research Impact

Malghalara Kakar’s research contributes to contemporary developments in cognitive radio communication systems and intelligent spectrum mobility management. Her work supports ongoing advancements in dynamic spectrum allocation and adaptive wireless communication methodologies.[4]

The citation activity associated with her publication indicates scholarly relevance within the communication engineering and wireless systems research community. The integration of Bayesian analytical approaches with spectrum mobility research enhances the practical and theoretical value of the study.[1]

Award Suitability

Malghalara Kakar demonstrates suitability for recognition within the Research Excellence Award category through her contribution to intelligent wireless communication systems and cognitive radio research. Her work addresses technologically significant challenges associated with adaptive spectrum mobility and user behavior analysis within modern communication infrastructures.[2]

Her publication reflects scholarly engagement in emerging communication technologies and interdisciplinary analytical methodologies involving wireless engineering and Bayesian decision-making models. Continued research activity and expanded publication output may further strengthen her academic visibility and research impact within communication engineering disciplines.[3]

Conclusion

Malghalara Kakar has established an emerging scholarly profile in cognitive radio systems and wireless communication research through her work on Bayesian game-based spectrum mobility analysis. Her contribution to intelligent communication technologies reflects interdisciplinary integration between communication engineering, adaptive spectrum management, and probabilistic analytical modeling. Continued publication activity and broader collaborative research participation may further enhance her academic influence and visibility within advanced wireless communication research communities.[1]

References

  1. 1. Elsevier. (2026). Scopus author details: Kakar, Malghalara, Author ID 57205062746. Scopus Preview.
    https://www.scopus.com/authid/detail.uri?authorId=57205062746
  2. 2. Kakar, M., et al. (2019). Bayesian game-based user behavior analysis for spectrum mobility in cognitive radios. Physical Communication.
    https://www.sciencedirect.com/science/article/abs/pii/S1874490718301344
  3. 3. Akyildiz, I. F., Lee, W. Y., Vuran, M. C., & Mohanty, S. (2006). Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks.
    https://doi.org/10.1016/j.comnet.2006.05.001
  4. 4. Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in  Communications.
    https://doi.org/10.1109/JSAC.2004.839380

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

Published on by Global CAD Awards

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.