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

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

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.

Professional Profile:

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Summary of Suitability: Dr. Monica Bhutani – 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.

🎓 Education

  • 🧠 Ph.D. in Electronics and Communication from IIT Delhi (2018–2023)
    Research Focus: MAC Layer Issues in Optical Wireless Communication

  • 📘 M.E. in Electronics and Communication Engineering – NITTTR, Chandigarh (Punjab University), 2006–2008

  • 📗 B.E. in Electronics and Communication Engineering – M.D. University, Haryana, 2001–2005

💼 Work Experience

  • 👩‍🏫 Associate Professor, Dept. of ECE, Bharati Vidyapeeth’s College of Engineering (BVCOE), New Delhi (2024–Present)

  • 📚 Assistant Professor, BVCOE, New Delhi (2010–2024)

  • 📘 Assistant Professor, PDM College of Engineering, Haryana (2008–2009)

  • 🏫 Lecturer, Vaish College of Engineering, Haryana (2005–2006)

  • 🌐 Postdoctoral Researcher & Research Associate, Lincoln University College, Malaysia

  • 👩‍🔬 Project Staff, IIT Delhi on Visible Light Communication & 5G Test Bed Projects

🏆 Achievements & Honors

  • 📖 Editor-in-Chief, Scienxt Journal of Electrical & Electronics Communication

  • 📝 Editorial Board Member, Wireless and Communication Letters (Bentham Science)

  • 🌟 Head of IEEE BVCOE (Delhi Section R10)

  • 💡 2 Patents Granted:

    • 🇮🇳 Student Behavior Monitoring Device – India, Jan 2024

    • 🇬🇧 Automated Dairy Cow Health Monitoring and Milking Machine – UK, Aug 2024

  • 📈 Google Scholar: 94 Citations, h-index: 7, i10-index: 3

Publication 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

Prof. Yufeng Yang | Intelligent Sensing | Best Researcher Award

Prof. Yufeng Yang | Intelligent Sensing | Best Researcher Award

Prof. Yufeng Yang, Xi’an University of Technology, China

Dr. Yang Yufeng is an Associate Professor at the College of Automation and Information Engineering, Xi’an University of Technology, China. He holds a Ph.D. and is a member of both the Chinese Society of Electronics and the Optical Engineering Society. His primary research interests include wireless laser communication, LiDAR-based localization and navigation, and unmanned vehicle path planning. Dr. Yang has led and completed numerous research projects supported by the National Natural Science Foundation of China, the Shaanxi Provincial Foundation, and the Shaanxi Key Industry Innovation Chain Project. He has authored over 30 SCI/EI-indexed papers, compiled two academic textbooks, and filed more than ten invention patents. His work contributes significantly to the advancement of intelligent sensing and autonomous systems.

Professional Profile:

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Summary of Suitability for the Research for Best Researcher Award: Dr. Yang Yufeng

Dr. Yang Yufeng, Associate Professor at the College of Automation and Information Engineering, Xi’an University of Technology, is a highly qualified and impactful candidate for the Research for Best Researcher Award. His research contributions in wireless laser communication, LiDAR-based localization, navigation, and unmanned vehicle path planning are not only timely but also vital to the advancement of intelligent systems and autonomous technologies.

🎓 Education & Academic Background

  • Ph.D. in a relevant field

  • Affiliated with the College of Automation and Information Engineering, Xi’an University of Technology

💼 Work Experience

  • 👨‍🏫 Associate Professor, Xi’an University of Technology

  • 🤝 Member, Chinese Society of Electronics

  • 🔬 Member, Optical Engineering Society

🏆 Achievements

  • 📡 Specialized in Wireless Laser Communication, LiDAR Localization & Navigation, and Unmanned Vehicle Path Planning

  • ✅ Successfully led multiple research projects funded by:

    • National Natural Science Foundation of China

    • Shaanxi Provincial Foundation

    • Shaanxi Key Industry Innovation Chain Project

  • 📘 Authored 2 textbooks on specialized engineering topics

  • 📝 Published 30+ SCI/EI-indexed research papers

  • 💡 Filed 10+ invention patents in the fields of sensing and automation

🥇 Awards & Honors

  • 🎖️ Recognized for contributions to intelligent navigation and optoelectronic systems

  • 🧪 Honored by national and provincial bodies for innovative research in LiDAR and wireless communication

Publication Top Notes:

Rough-Terrain Path Planning Based on Deep Reinforcement Learning

Orthogonal Frequency Division Multiplexing for Visible Light Communication Based on Minimum Shift Keying Modulation

Influence of Target Surface BRDF on Non-Line-of-Sight Imaging

Assoc. Prof. Dr Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Award

Assoc. Prof. Dr Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Award 

Assoc. Prof. Dr Ali Hassan Sodhro, Kristianstad University, SE-29188 Kristianstad, Sweden, Sweden

Ali Hassan Sodhro is an accomplished researcher with dual Swedish and Pakistani nationality, specializing in energy-efficient and battery-friendly algorithms for wireless body sensor networks, wireless sensor networks, physical layer authentication in IoT-5G, wearable devices, and smart healthcare applications. Currently a Senior Lecturer at Kristianstad University in Sweden, Ali has also served as a Postdoctoral Research Fellow in institutions across Sweden, France, and China, including Luleå University of Technology, Linköping University, and the University Lumiere Lyon 2. His research extends to cybersecurity, network security, cryptography, and domains such as AI, machine learning, and big data analytics. Holding a Ph.D. from the University of Chinese Academy of Sciences (UCAS), Ali has supervised numerous bachelor’s and master’s theses and co-supervised Ph.D. students, contributing substantially to both academic research and grant proposals. His teaching experience spans Swedish institutions like Mid Sweden University and Gothenburg University, alongside earlier academic roles at Sukkur IBA University in Pakistan. Ali is actively involved in conferences, workshop organization, and launching special journal issues, with his work published across multiple prestigious platforms.

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Summary of Suitability for Best Researcher Award:

Ali Hassan Sodhro is a distinguished researcher with significant contributions to the fields of energy-efficient algorithms for wireless sensor networks, smart healthcare applications, and IoT-driven technologies, particularly within the domain of body sensor networks and wearable devices. With a strong interdisciplinary focus that spans AI, IoT, and cloud computing, his work aligns with many of the emerging challenges in technology and healthcare, areas critical for modern innovations and societal impact.

🎓 Education:

  • Ph.D. in Computer Applications Technology (2016)
    University: Chinese Academy of Sciences, China 🇨🇳
    Thesis: Energy-efficient Communication in Wireless Body Sensor Networks
  • M.Engg in Communication Systems and Networks (2010)
    University: Mehran University of Engineering and Technology, Pakistan 🇵🇰
    Thesis: Security Issue/Authentication and Simulation of LEAP in WSN
  • B.Engg in Telecommunication Engineering (2008)
    University: Mehran University of Engineering and Technology, Pakistan 🇵🇰
    Thesis: Wireless Sensor Networks, Simulation of Ad-Hoc Routing Protocols

💼 Professional Experience:

  • Senior Lecturer at Kristianstad University, Sweden 🇸🇪 (2021–Present)
    Teaching, research, and supervision of student projects; actively engaged in scientific publishing and grant proposal writing.
  • Postdoctoral Fellow at Luleå University of Technology, Sweden 🇸🇪 (2020)
    Contributed to supervision, teaching, and coordination of special journal issues and conferences.
  • Assistant Professor at Sukkur IBA University, Pakistan 🇵🇰 (2016–2017)
    Supervised students, taught courses, and organized academic events.

🧠 Research Focus:

Ali Hassan Sodhro is a highly skilled researcher in Energy-efficient & Battery-friendly Algorithms ⚡ for Wireless Body Sensor Networks 💡, Wearable Devices ⌚, and IoT-5G 🔗. His expertise spans AI/ML 🤖, Cybersecurity 🔒, Network Security 🛡️, Big Data Analytics 📊, and Multimedia Transmission 🎥, with an emphasis on Smart Healthcare 🏥 and Physical Layer Authentication in IoT networks.

Publication top Notes:

Artificial intelligence-driven mechanism for edge computing-based industrial applications

CITED:326

A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks

CITED:297

Mobile edge computing based QoS optimization in medical healthcare applications

CITED:208

Towards an optimal resource management for IoT based Green and sustainable smart cities

CITED:197

Quality of service optimization in an IoT-driven intelligent transportation system

CITED:173