M.K.Kirubakaran | Sensor Networks | Best Researcher Award

Dr. M.K.Kirubakaran | Sensor Networks | Best Researcher Award

Professor at St.Joseph’s Institute of Technology, India.

Dr. M.K. Kirubakaran is a distinguished professor of Computer Science and Engineering at St. Joseph’s Institute of Technology, Chennai, India. With over two decades of academic experience, he is recognized for his contributions in cyber security, big data analytics, wireless sensor networks, and web services. His teaching philosophy blends technical expertise with industry engagement, enabling students to align theoretical knowledge with practical innovations. He has held key institutional roles fostering industry-academia collaboration and is known for his commitment to curriculum enrichment and value-added learning.

Professional Profile

Scopus

Orcid

Google Scholar

Education 🎓📚

  • Ph.D. in Computer Science and Engineering
    Sathyabama University, ChennaiOctober 2018
    Thesis Area: Cyber Security / Advanced Computing Systems

  • M.E. in Computer Science and Engineering
    Vinayaka Mission University, SalemJuly 2006

  • B.Tech. in Computer Science and Engineering
    Pondicherry UniversityMay 2003

Professional Experience 🧑‍🏫💼

  • Professor, St. Joseph’s Institute of Technology, Chennai (Jun 2024 – Present)

  • Associate Professor, St. Joseph’s Institute of Technology, Chennai (Jun 2019 – May 2024)

  • Associate Professor, St. Joseph’s College of Engineering, Chennai (Jun 2005 – May 2019)

Key Roles and Responsibilities:

  • Industry–Institution Interaction Coordinator

  • Coordinator for Industrial Visits, Symposiums, Value-Added Courses, and Soft Skills Programs

  • Lab sessions and technical training for industry professionals (CTS, Infosys)

Research Interest 🔬📈

  • Cyber Security & Secure Web Technologies

  • Big Data Analytics & Data Privacy

  • Wireless Sensor Networks and IoT

  • Web Services and Middleware Architectures

Publications Top Noted

  • Blockchain-enabled precision agricultural system using IoT and edge computing
    Int’l Conf. on Smart Trends in Computing and Communications, 2023 — [Cited: 7]

  • Deep CNN Framework for Brain Tumor Classification using MRI
    2nd Int’l Conf. on Automation, Computing and Renewable Systems, 2023 — [Cited: 6]

  • Blockchain-based Internet of Vehicles for ITS using Fog Computing
    ICCBI 2021 Proceedings, Springer, pp. 827–835 — [Cited: 6]

  • A Self-Adaptive Duty Cycle MAC Protocol for WSNs
    Indian Journal of Science and Technology, 2016 — [Cited: 5]

  • IW-MAC: Invite and Wait Protocol for Energy-Efficient WSNs
    Journal of Ambient Intelligence and Humanized Computing, 2018 — [Cited: 4]

Conclusion 🌟🎯

Dr. M.K. Kirubakaran is a strong candidate for the Best Researcher Award, especially in the field of Sensor Networks and cyber-physical systems. His blend of technical depth, academic leadership, and impactful research makes him a deserving nominee. With focused efforts on global collaboration and innovation dissemination, he is poised for even broader impact in the coming years.

Assoc Prof Dr. Shuzhi Liu | Sensor Networks Awards | Best Researcher Award

Assoc Prof Dr. Shuzhi Liu | Sensor Networks Awards | Best Researcher Award

Assoc Prof Dr. Shuzhi Liu, Qilu Normal University, China

Dr. Shuzhi Liu is an Associate Professor at Qilu Normal University, Jinan, China, specializing in IoT, Indoor Positioning, and Next-Generation Communication. He earned his Ph.D. from Dongguk University, and holds two Bachelor of Engineering degrees from Hanyang University and Qingdao University of Science and Technology. Since September 2023, Dr. Liu has been recognized for his exceptional interpersonal communication skills, which enhance his teaching and academic collaborations. His role includes facilitating complex discussions, collaborating with the dean to improve academic programs, and contributing to teaching excellence through detailed course evaluations and active engagement in research.

🌐 Professional Profile:

Orcid
Scopus

Education:

Dr. Liu earned his Ph.D. from Dongguk University (2018-2023), focusing on IoT, Indoor Positioning, and Next-Generation Communication 🎓. He also holds a Bachelor of Engineering from Hanyang University (2016-2018) and another Bachelor of Engineering from Qingdao University of Science and Technology (2014-2018) 🏆.

Job Experience:

Since September 2023, Dr. Liu has served as an Associate Professor at Qilu Normal University. His role involves demonstrating strong communication skills, facilitating clear discussions on complex topics, and collaborating with the dean to assess and improve academic programs and courses 📊.

Current Position:

Dr. Shuzhi Liu is an accomplished Associate Professor at Qilu Normal University, Jinan, China 📚. He is recognized for his expertise in research and exceptional interpersonal communication skills, which enhance his interactions with students and faculty.

Specializations:

He specializes in lesson planning, faculty collaboration, and significantly contributes to teaching excellence through comprehensive course evaluation and active engagement in academic publication ✍️.

Publication Top Notes:

  • Enabling Technologies for AI Empowered 6G Massive Radio Access Networks
    • Publication Year: 2023
    • Citations: 27
  • Hybrid of Angular and Distance Protection for Coexistence of 5G Base Stations and Satellite Earth Stations
    • Publication Year: 2022
    • Citations: 5
  • Interference Analysis Method for 5G System to Radio Altimeter
    • Publication Year: 2022
    • Citations: 6
  • Clustering-Based Noise Elimination Scheme for Data Pre-Processing for Deep Learning Classifier in Fingerprint Indoor Positioning System
    • Publication Year: 2021
    • Citations: 10
  • Distance Protection for Coexistence of 5G Base Station and Satellite Earth Station
    • Publication Year: 2021
    • Citations: 11