Assoc. Prof. Dr. Monica Bhutani | Wireless Sensors Awards | Best Researcher Award

Assoc. Prof. Dr. Monica Bhutani | Wireless Sensors Awards | Best Researcher Awardย 

Assoc. Prof. Dr. Monica Bhutani, Bharati Vidyapeeth College of Engineering, New Delhi, India

Dr. Monica Bhutani is an accomplished academic and researcher in the field of Electronics and Communication Engineering, currently serving as an Associate Professor at Bharati Vidyapeeth’s College of Engineering (BVCOE), New Delhi. With a Ph.D. from IIT Delhi focused on MAC layer issues in Optical Wireless Communication, she brings over 18 years of teaching and research experience. Dr. Bhutani has held postdoctoral and research associate positions at Lincoln University College, Malaysia, and has actively contributed to cutting-edge projects on Li-Fi and 5G testbeds at IIT Delhi. Her research interests span Optical Wireless Communications, IEEE standards, Zigbee, Wireless Sensors, and IoT. She holds national and international patents, including innovations in student behavior monitoring and dairy automation. As Editor-in-Chief of Scienxt Journal of Electrical & Electronics Communication, and an editorial board member of Wireless and Communication Letters (Bentham Science), she is a recognized thought leader in her field. Additionally, she heads the IEEE BVCOE chapter and plays a vital role in IEEE’s student and professional development activities.

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Summary of Suitability: Dr. Monica Bhutani โ€“ Research for Best Researcher Award

Dr. Monica Bhutani stands out as a distinguished researcher and academician with a strong background in optical wireless communication, Li-Fi, wireless sensor networks, and IoT integration, underpinned by her Ph.D. from IIT Delhi. Her research on MAC layer issues in optical wireless communication is both timely and technologically critical. She has demonstrated a consistent trajectory of excellence through her 18+ years of teaching, editorial roles, IEEE leadership, and impactful industry-linked research projects at IIT Delhi. Dr. Bhutani has also been granted national and international patents, reflecting her ability to innovate with practical, real-world applications. Her work bridges academia, research, and applied technology, making her a highly deserving candidate for the Best Researcher Award.

๐ŸŽ“ Education

  • ๐Ÿง  Ph.D. in Electronics and Communication from IIT Delhi (2018โ€“2023)
    Research Focus: MAC Layer Issues in Optical Wireless Communication

  • ๐Ÿ“˜ M.E. in Electronics and Communication Engineering โ€“ NITTTR, Chandigarh (Punjab University), 2006โ€“2008

  • ๐Ÿ“— B.E. in Electronics and Communication Engineering โ€“ M.D. University, Haryana, 2001โ€“2005

๐Ÿ’ผ Work Experience

  • ๐Ÿ‘ฉโ€๐Ÿซ Associate Professor, Dept. of ECE, Bharati Vidyapeethโ€™s College of Engineering (BVCOE), New Delhi (2024โ€“Present)

  • ๐Ÿ“š Assistant Professor, BVCOE, New Delhi (2010โ€“2024)

  • ๐Ÿ“˜ Assistant Professor, PDM College of Engineering, Haryana (2008โ€“2009)

  • ๐Ÿซ Lecturer, Vaish College of Engineering, Haryana (2005โ€“2006)

  • ๐ŸŒ Postdoctoral Researcher & Research Associate, Lincoln University College, Malaysia

  • ๐Ÿ‘ฉโ€๐Ÿ”ฌ Project Staff, IIT Delhi on Visible Light Communication & 5G Test Bed Projects

๐Ÿ† Achievements & Honors

  • ๐Ÿ“– Editor-in-Chief, Scienxt Journal of Electrical & Electronics Communication

  • ๐Ÿ“ Editorial Board Member, Wireless and Communication Letters (Bentham Science)

  • ๐ŸŒŸ Head of IEEE BVCOE (Delhi Section R10)

  • ๐Ÿ’ก 2 Patents Granted:

    • ๐Ÿ‡ฎ๐Ÿ‡ณ Student Behavior Monitoring Device โ€“ India, Jan 2024

    • ๐Ÿ‡ฌ๐Ÿ‡ง Automated Dairy Cow Health Monitoring and Milking Machine โ€“ UK, Aug 2024

  • ๐Ÿ“ˆ Google Scholar: 94 Citations, h-index: 7, i10-index: 3

Publicationย Top Notes:

IDT-Cascade: a novel information dissemination tree model for influential cascade detection in online social networks

Leveraging Machine Learning for Real-Time Loyalty Program Optimization

A Comprehensive Review on Advancements and Challenges in Fake News Detection

Artificial Intelligence and Machine Learning in Space Cyber Defense

Revolutionizing Supply Chain Management With AI and Green Computing

Cloud-connected central unit for traffic control: interfacing sensing units and centralized control for efficient traffic management

Design of Low Power and Energy Efficient Write Driver with Bitline Leakage Compensation for SRAM

Novel memristor-CMOS based domino self-resetting half-adder design for fast and low-power biomedical applications

Dr. Xingquan Li | Wireless communications | Best Researcher Award

Dr. Xingquan Li | Wireless communications | Best Researcher Award

Dr. Xingquan Li, Shenzhen Institute of Information Technology, China

Dr. Xingquan Li is a dedicated researcher and lecturer at the Shenzhen Institute of Information Technology, specializing in intelligent information processing and wireless communications. He earned his Ph.D. from Shenzhen University in 2019, where his research focused on energy-efficient resource allocation for distributed antenna systems (DAS) with device-to-device (D2D) communication under the supervision of Prof. Jihong Zhang and Dr. Chunlong He. Prior to that, he completed his Masterโ€™s degree in Computer Applications Technology at Lanzhou University of Technology, researching complex networks, and obtained a Bachelor of Engineering from Yuncheng University. Dr. Li has been an active academic, serving as a Lecturer in the School of Microelectronics at the Shenzhen Institute of Information Technology since 2019. His commitment to advancing research led him to a Visiting Scholar position at Queen Mary University of London (2019-2021), where he collaborated on cutting-edge projects in wireless communications. His research interests encompass device-to-device (D2D) communication, full-duplex communications, reconfigurable intelligent surfaces (RIS), simultaneous wireless information and power transfer (SWIPT), and backscatter communication.

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Suitability for Best Researcher Award โ€“ Xingquan Li

Dr. Xingquan Li is a researcher specializing in energy-efficient wireless communications and intelligent information processing, with a strong academic background and research experience. His work focuses on Device-to-Device (D2D) communication, Full-Duplex communications, Reconfigurable Intelligent Surfaces (RIS), Simultaneous Wireless Information and Power Transfer (SWIPT), and Backscatter communication, which are critical areas in modern wireless networks.

๐ŸŽ“ Education

  • ๐Ÿ“ก Ph.D. in Intelligent Information Processing (2015 – 2019)

    • ๐Ÿซ Shenzhen University, China
    • ๐Ÿ“ Research Topic: Energy-efficient resource allocation for distributed antenna systems (DAS) with device-to-device (D2D) communication
    • ๐Ÿ‘จโ€๐Ÿซ Advisors: Prof. Jihong Zhang & Dr. Chunlong He
  • ๐Ÿ’ป Master in Computer Applications Technology (2012 – 2014)

    • ๐Ÿซ Lanzhou University of Technology, China
    • ๐Ÿ“ Research Topic: Complex networks
    • ๐Ÿ‘จโ€๐Ÿซ Advisor: Prof. Rui Li
  • ๐Ÿ–ฅ๏ธ Bachelor of Engineering in Computer Applications Technology (2007 – 2011)

    • ๐Ÿซ Yuncheng University, China

๐Ÿ’ผ Work Experience

  • ๐Ÿ‘จโ€๐Ÿซ Lecturer, Shenzhen Institute of Information Technology (June 2019 – Present)

    • ๐Ÿซ School of Microelectronics
  • ๐Ÿ”ฌ Visiting Scholar, Queen Mary University of London (2019 – 2021)

    • ๐Ÿซ School of Electronic Engineering and Computer Science, Faculty of Science and Engineering

๐Ÿ† Scholarships & Awards

  • ๐ŸŽ–๏ธ National Graduate Scholarship (2016)
  • ๐Ÿฅ‡ School First Prize (2013)
  • ๐Ÿ… National Graduate Scholarship (2009)

๐Ÿ”ฌ Research Interests

  • ๐Ÿ“ถ Device-to-Device (D2D) Communication
  • ๐Ÿ”„ Full-Duplex Communications
  • ๐Ÿ›ฐ๏ธ Reconfigurable Intelligent Surface (RIS)
  • โšก Simultaneous Wireless Information and Power Transfer (SWIPT)
  • ๐Ÿ“ก Backscatter Communication

Publicationย Top Notes:

Joint optimization trajectory and resource allocation for UAV-assisted semantic communications

An Ultrafast Optical Imaging System with Anamorphic Transformation Based on STEAM Structure

Robust beamforming design for energy harvesting efficiency maximization in RIS-aided SWIPT system