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.

Professional Profile:

GOOGLE SCHOLAR

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

Prof. Yoon-Gyung Sung | Sensing Awards | Best Researcher Award

Prof. Yoon-Gyung Sung | Sensing Awards | Best Researcher Award 

Prof. Yoon-Gyung Sung, Chosun University, South Korea

Yoon-Gyung Sung is a distinguished professor in the Department of Mechanical Engineering at Chosun University, South Korea, where he has been a faculty member since 2001. He earned his B.S. degree in machine design from Yeungnam University in 1982, followed by an M.S. degree in mechanical vibration and control from Yonsei University in 1987. He completed his Ph.D. at The University of Alabama in 1997, specializing in the nonlinear control of large flexible systems. Dr. Sung was a postdoctoral fellow at the Korea Atomic Energy Research Institute (KAERI) from 1998 to 2000, where he further developed his expertise in control systems. His research interests encompass nonlinear system control, multiple robotics, input shaping control, and intelligent mechatronics, contributing significantly to advancements in these fields.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: 

Yoon-Gyung Sung is a distinguished academic in the field of mechanical engineering, holding degrees from prominent institutions: a B.S. in machine design from Yeungnam University (1982), an M.S. in mechanical vibration and control from Yonsei University (1987), and a Ph.D. from The University of Alabama, focusing on nonlinear control of large flexible systems (1997). He has been a faculty member at Chosun University since 2001 and currently serves as a full professor.

Education

  • Ph.D. in Mechanical Engineering
    The University of Alabama, USA
    Specialization: Nonlinear Control of Large Flexible Systems
    Year: 1997
  • M.S. in Mechanical Engineering
    Yonsei University, South Korea
    Specialization: Mechanical Vibration and Control
    Year: 1987
  • B.S. in Machine Design
    Yeungnam University, South Korea
    Year: 1982

Work Experience

  • Full Professor
    Department of Mechanical Engineering, Chosun University, South Korea
    Year: 2001 – Present
  • Postdoctoral Fellow
    Korea Atomic Energy Research Institute (KAERI)
    Years: 1998 – 2000

Publication top Notes:

Robust Input Shaping Commands with First-Order Actuators

Development of highly sensitive/durable porous carbon nanotube-polydimethylsiloxane sponge electrode for wearable human motion monitoring sensor

Robust Input Shapers for Acceleration-Limit Actuators

Design of a tribotester based on non-contact displacement measurements

Deflection reduction shaping commands with asymmetric first-order actuators

On–Off Shaping Commands for Asymmetrically Delayed Second-Order Actuators