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. Junhao Li | Sensors Design | Best Innovation Award

Prof. Junhao Li | Sensors Design | Best Innovation Award

Prof. Junhao Li, Xi’an Jiaotong University, China

Junhao Li is a Full Professor at Xi’an Jiaotong University, where he is actively engaged in teaching and research in the field of electrical engineering. His research primarily focuses on two key areas: fault diagnosis of power equipment, including power transformers and gas-insulated switchgear (GIS), and on-site testing for power equipment, particularly impulse testing for GIS and transformers. His work on partial discharge (PD) research explores PD characteristics under various voltage waveforms, employing optical, UHF, and acoustic measurement techniques along with PD pattern recognition. Additionally, his studies on impulse testing address waveform adjustments, distortion effects, equipment protection methods, and insulation breakdown mechanisms in SF₆ gas and oil-paper insulation.

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Summary of Suitability for Best Innovation Award conclusion

Junhao Li is a highly accomplished researcher in the field of electrical engineering, particularly in power equipment fault diagnosis, partial discharge (PD) measurement, and onsite testing for power equipment. His contributions to PD detection techniques, integration of optical and UHF methods, and advancements in impulse testing are innovative and impactful.

Education 🎓:

  • Specific details about Professor Li’s educational background are not provided in the available information.

Work Experience 🏫:

  • Full Professor at Xi’an Jiaotong University: Engaged in teaching and research in electrical engineering, focusing on fault diagnosis of power equipment and on-site testing for power equipment.

Achievements and Honors 🏆:

  • Research Contributions: Specializes in partial discharge research, examining characteristics under various voltage waveforms, and developing measurement and pattern recognition methods.
  • On-Site Testing Innovations: Focuses on on-site impulse testing for GIS and power transformers, including waveform adjustment methods and equipment protection strategies.
  • Professional Recognitions:
    • Fellow of the Institution of Engineering and Technology (IET)
    • Senior Member of the Institute of Electrical and Electronics Engineers (IEEE)
    • Editorial Board Member of the Chinese journal “High Voltage Apparatus”
    • Member of the CIGRE D1 China Committee
    • Member of CIGRE Working Groups D1.66 and B3.50
    • Member of IEC TC 17 / SC 17C AHG41
    • Executive Member of the IEEE PES Smart Grid and New Technology Committee (China)
    • Associate Editor of IEEE Transactions on Dielectrics and Electrical Insulation

Professor Li has published numerous papers in IEEE Transactions focusing on transformers and liquid insulation. He is committed to enhancing the relationship between international electrical insulation publications and China, aiming to expand their influence and contribute to their success.

Publication Top Notes:

Review on partial discharge measurement technology of electrical equipment

CITED:182

Digital detection, grouping and classification of partial discharge signals at DC voltage

CITED:144

A novel GIS partial discharge detection sensor with integrated optical and UHF methods

CITED:143

Partial discharge characteristics over differently aged oil/pressboard interfaces

CITED:85

A novel PD detection technique for use in GIS based on a combination of UHF and optical sensors

CITED:79

Investigation of a comprehensive identification method used in acoustic detection system for GIS

CITED:77

 

 

 

 

 

Prof. Dr. Ahmad Jalal | Portable Sensors Awards | Best Researcher Award

Prof. Dr. Ahmad Jalal | Portable Sensors Awards | Best Researcher Award 

Prof. Dr. Ahmad Jalal, Air University, Pakistan

R. Ahmad Jalal is an accomplished academic and researcher, currently serving as an Associate Professor in the Department of Computer Science and Engineering at Air University, Islamabad, Pakistan. He also leads the Intelligent Media Center (IMC) as its Director, overseeing a team of 15 MS and Ph.D. students, researchers, and developers contributing to innovative R&D activities with both national and international collaborations.

Professional Profile:

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Suitability of R. Ahmad Jalal for the Best Researcher Award

Dr. R. Ahmad Jalal’s extensive academic and professional contributions position him as a highly suitable candidate for the Best Researcher Award. With his role as an Associate Professor in the Department of Computer Science and Engineering at Air University, Islamabad, and as the Director of the Intelligent Media Center (IMC), he has demonstrated leadership in research and innovation.

Education 🎓

  • Ph.D. in Computer Engineering, Pohang University of Science and Technology (POSTECH), South Korea
  • Master’s in Computer Science, (Details not provided, assumed prior to Ph.D.)

Work Experience 💼

  1. Associate Professor (March 2019 – Present)
    • Air University, Department of Computer Science and Engineering, Islamabad, Pakistan.
  2. Director, Intelligent Media Center (IMC) (2017 – Present)
    • Leading a team of 15 MS and Ph.D. students, researchers, and developers working on R&D for international and national collaborations.

Achievements & Contributions 🌟

  • Supervision: Successfully supervised 9 Ph.D. students and 21 MS students.
  • Patents:
    • Depth-based invariant human activity recognition using R transformation features (Co-inventor), Korea Copyright Commission, Patent No. 134571-0003856, 2011.
  • Publications: Multiple impactful papers with notable awards (details below).

Awards and Honors 🏆

  1. Best Paper Award (Runner-up) – ICAEM 2018
    • Facial Expression Recognition in Image Sequences Using 1D Transform and Gabor Wavelet Transform
    • Presented at IEEE Conference of Applied and Engineering Mathematics, pp. 82-87.
  2. Best Paper Award – ICOST 2011
    • Daily Human Activity Recognition Using Depth Silhouettes and R Transformation for Smart Home
    • Presented at the 9th ICOST, Lecture Notes in Computer Science (Springer), LNCS 6719, pp. 25-32.

Notable Roles

  • Leader: Spearheading advanced research in AI, human activity recognition, and media technologies.
  • Innovator: Developed patented solutions in depth-based human activity recognition.

Publication Top Notes:

Robust human activity recognition from depth video using spatiotemporal multi-fused features

CITED:399

A Depth Video Sensor-based Life Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments

CITED:301

Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home

CITED:249

Human activity recognition via recognized body parts of human depth silhouettes for residents monitoring services at smart home

CITED:208

Students’ Behavior Mining in E-learning Environment Using Cognitive Processes with Information Technologies

CITED:186

Vision-based human activity recognition system using depth silhouettes: A smart home system for monitoring the residents

CITED:117