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

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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

Assoc. Prof. Dr karim choubani | Sensing Units Awards | Best Researcher Award

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Assoc. Prof. Dr karim choubani | Sensing Units Awards | Best Researcher Award 

Assoc. Prof. Dr karim choubani, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia

Dr. Karim Choubani is an Assistant Professor in Mechanical Engineering with extensive experience in teaching, research, and professional training. He earned his Doctorate from the University of Tunis Manar, Tunisia, and the Institute of Fluid Mechanics of Toulouse, France, in 2009. Dr. Choubani also holds a Master’s degree in Industrial Thermal Systems from the University Institute of Industrial Thermal Systems in Marseille, France, and a Mechanical Engineering degree from the Engineering School of Tunisia, with additional studies in Italy.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Karim Choubani

Research Experience and Expertise: Karim Choubani holds a Doctorate from the Engineering School of Tunisia, with extensive experience in fluid mechanics, heat transfer, desalination, and renewable energy applications, including solar pond technology and membrane desalination. His research integrates experimental, theoretical, and numerical approaches, with a notable focus on practical applications in energy and environmental sustainability. This background highlights his expertise in addressing complex engineering challenges, making him a strong candidate for research-focused awards.

Education

  • Doctorate in Engineering
    • Institutions: Engineering School of Tunisia, University of Tunis Manar, Tunisia; Institute of Fluid Mechanic of Toulouse (IMFT), Toulouse, France
    • Year of Completion: 2009
  • Master’s Degree in Engineering
    • Institutions: Engineering School of Tunisia, University of Tunis Manar, Tunisia; University Institute of the Industrial Thermal Systems (IUSTI), Marseille, France
    • Year of Completion: 2002
  • Mechanical Engineering Degree
    • Institutions: Engineering School of Tunisia, University of Tunis Manar, Tunisia; University of Mechanic-Energetic of Ancona and Sapienza University of Rome, Italy
    • Year of Completion: 2001

Professional Experience

  • Assistant Professor
    • Institution: Al Imam Mohammad Ibn Saud Islamic University, Department of Mechanical Engineering, Kingdom of Saudi Arabia
    • Dates: September 5, 2022 – Present
    • Responsibilities:
      • Teaching Dynamics and Vibration courses
      • Supervising undergraduate students
  • Assistant Professor
    • Institution: High Institute of Applied Sciences and Technology of Mahdia (ISSAT), Tunisia
    • Dates: September 15, 2019 – June 30, 2022
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Vibration, Automatic Control, Thermodynamics, and Fluid Mechanics
      • Supervising undergraduate students
  • Professional Trainer
    • Institution: Department of Mechanical Technology (Refrigeration and Cooling), Riyadh College of Technology, Riyadh, Saudi Arabia
    • Dates: August 20, 2013 – August 20, 2019
  • Assistant Professor
    • Institution: High Institute of Applied Sciences and Technology of Mahdia (ISSAT), Tunisia
    • Dates: September 15, 2010 – June 30, 2013
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Thermodynamics, Fluid Mechanics, Vibration, and Automatic Control
      • Supervising undergraduate students
  • Assistant Professor
    • Institution: High Institute of Industrial Systems of Gabes, Tunisia
    • Dates: September 15, 2009 – June 30, 2010
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Thermal Sciences, and Fluid Mechanics
      • Research on Desalination, Solar Pond, and Convective Heat and Mass Transfer
  • Assistant Professor
    • Institution: High Institute of Industrial Systems of Gabes, Tunisia
    • Dates: September 15, 2006 – June 30, 2009
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Fluid Mechanics, Thermodynamics, Heat Transfer, and Refrigeration Systems
      • Developed course materials and laboratory experiments
      • Participated in establishing a new Professional Master’s degree
  • Technological Trainer
    • Institution: High Institute of Technological Studies of Radès (ISET), Tunisia
    • Dates: February 15, 2003 – June 30, 2006
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Fluid Mechanics, Thermodynamics, and Heat Transfer
      • Conducted laboratory experiments

Research Experience

  • Researcher
    • Institution: Energetic-Mechanic Unit, National Engineering School of Tunisia (URME_ENIT); Research Unit in Mechanical Modeling, Energy & Materials (M2&EM), National School of Engineers of Gabes, Tunisia
    • Dates: February 1, 2001 – February 1, 2017
    • Responsibilities:
      • Conducted research in heat and mass transfer, solar ponds, desalination, and fluid stratified systems
      • Supervised graduate students and organized research projects

Publication top Notes:

Experimental investigation of the effect of angled fins on the energy and exergy efficiencies of solar stills: A comparison between double slope and pyramid solar stills under Tunisia weather conditions

Effect of an Adiabatic Obstacle on the Symmetry of the Temperature, Flow, and Electric Charge Fields during Electrohydrodynamic Natural Convection

Porous silicon layer decorated with PbS nanoparticles by SILAR method for enhanced photocatalytic degradation of amido black dye

Experimental Investigation of a Phase-Change Material’s Stabilizing Role in a Pilot of Smart Salt-Gradient Solar Ponds

Numerical simulations for thermally developed double diffusion flow of nanoparticles due to elongated cylinder with multiple slip effects: Applications to energy storage system

Thermal analysis of AA7075-AA7072/methanol via Williamson hybrid nanofluid model past thin needle: Effects of Lorentz force and irregular heat rise/fall

Prof Wanrun Li | Vision Sensing | Best Researcher Award

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Prof Wanrun Li | Vision Sensing | Best Researcher Award

Prof Wanrun Li, Lanzhou University of Technology, China 

Professor Wanrun Li is a distinguished academic and researcher in Structural Health Monitoring, currently serving as the Vice Dean of the School of Civil Engineering at Lanzhou University of Technology, China. With a focus on fatigue analysis, wind turbine vibration control, and structural health monitoring, he has led numerous research projects funded by national and regional foundations. His work has significantly contributed to understanding the seismic performance of super-tall buildings, damage identification, and fatigue life prediction of wind turbines. He has held multiple leadership roles, including Associate Professor and department head, and has been a visiting scholar at prestigious institutions.

Professional Profile:

Suitability for the Best Researcher Award: 

Professor Wanrun Li’s extensive research portfolio, leadership in high-stakes projects, and contributions to structural engineering make him a strong candidate for the Best Researcher Award. His work in wind turbine vibration control and fatigue analysis is critical for the advancement of sustainable energy infrastructure. However, to strengthen his candidacy, broadening the impact of his research on industry standards and further enhancing global outreach would be valuable steps forward. Overall, his dedication to innovative research and significant contributions to civil engineering position him as a deserving nominee for this prestigious award.

Education

Professor Wanrun Li earned his Ph.D. in Structural Engineering from Lanzhou University of Technology in 2013, specializing in Structural Health Monitoring under the guidance of Prof. Yongfeng Du and Prof. Y.Q. Ni. He was also a joint-supervised Ph.D. candidate at Hong Kong Polytechnic University from 2011-2012. His academic background includes an M.S. in Disaster Prevention and Mitigation from Lanzhou University of Technology (2010) and a B.S. in Civil Engineering from the same institution (2008). His education laid the foundation for his expertise in monitoring structural health and analyzing the fatigue of civil structures.

Work Experience

Wanrun Li has over a decade of academic and research experience. Currently, he is a Professor and Vice Dean at Lanzhou University of Technology. He previously served as an Associate Professor and Head of the Department of Building Engineering. His international experience includes being a visiting scholar at the University of Illinois Urbana-Champaign and Southeast University, China. Over the years, he has led research initiatives focused on vibration control, fatigue life prediction, and damage identification in large structures such as wind turbines and high-rise buildings.

Skills

Professor Li’s technical expertise includes advanced knowledge in Structural Health Monitoring, Wind Turbine Vibration Control, and Weld Fatigue Analysis. His skills extend to predictive modeling, statistical pattern recognition, and seismic data analysis. He is proficient in developing new devices for vibration reduction, using machine vision technology for turbine blade detection, and applying experimental and multi-scale simulation techniques for assessing fatigue in steel structures. His proficiency with numerical modeling, experimental research, and structural design underpins his research and teaching efforts.

Awards and Honors

Wanrun Li has been recognized with multiple prestigious awards, including the Hongling Outstanding Young Scholar Award at Lanzhou University of Technology (2019-2021) and the Science Fund for Distinguished Young Scholars of Gansu Province (2021-2024). His work has earned several grants from the National Natural Science Foundation of China (NSFC), totaling over ¥1.9 million for projects related to wind turbine structures and vibration control. These honors affirm his significant contributions to structural engineering and disaster prevention.

Membership

Professor Li is actively engaged in several professional organizations, contributing to the advancement of structural health monitoring and civil engineering. He collaborates closely with renowned research groups and institutions, including the University of Illinois Urbana-Champaign and Southeast University. His membership in national scientific communities has enabled him to secure significant research funding and present his findings in both domestic and international conferences.

Teaching Experience

With a passion for mentoring, Professor Li has been an academic instructor at Lanzhou University of Technology since 2013, progressing from instructor to professor. As a faculty member, he has taught courses related to Structural Engineering, Civil Engineering, and Structural Health Monitoring. His role as the Chief Duty Professor for the Hongliu Top-class Major in Civil Engineering reflects his commitment to academic excellence. He also supervises graduate students, guiding them through research projects and fostering a collaborative learning environment.

Research Focus

Professor Li’s research is centered on Structural Health Monitoring, Weld Fatigue Analysis, and Vibration Control of Wind Turbines. He is particularly interested in seismic data analysis of tall structures, wind-induced fatigue of turbines, and developing new devices for reducing tower vibrations. His projects include studies on vibration control using tuned liquid column dampers and fatigue life prediction of wind turbines in harsh environments. His innovative work integrates machine vision technology and UAVs for turbine blade detection, and he has contributed significantly to enhancing structural safety and durability.

Publication top Notes:

“Wind turbine blade defect detection and measurement technology based on improved SegFormer and pixel matching”

    • Year: 2024
    • Journal: Optics & Laser Technology
    • DOI: 10.1016/j.optlastec.2024.111381

“Mitigation of In-Plane Vibrations in Large-Scale Wind Turbine Blades with a Track Tuned Mass Damper”

    • Year: 2023
    • Journal: Structural Control and Health Monitoring
    • DOI: 10.1155/2023/8645831

“Dynamic Characteristic Monitoring of Wind Turbine Structure Using Smartphone and Optical Flow Method”

    • Year: 2022
    • Journal: Buildings
    • DOI: 10.3390/buildings12112021

“Dynamic Characteristics Monitoring of Large Wind Turbine Blades Based on Target-Free DSST Vision Algorithm and UAV”

    • Year: 2022
    • Journal: Remote Sensing
    • DOI: 10.3390/rs14133113

“Seismic Vibration Mitigation of Wind Turbine Tower Using Bi-Directional Tuned Mass Dampers”

    • Year: 2020
    • Journal: Mathematical Problems in Engineering
    • DOI: 10.1155/2020/8822611

“Low-cycle fatigue test and life assessment of carbon structural steel GB Q235B butt joints and cruciform joints”

    • Year: 2019
    • Journal: Advances in Structural Engineering
    • DOI: 10.1177/1369433218795292

“Seismic Performance of a New Precast Concrete Shear Wall with Bolt Connection”

    • Year: 2019
    • Journal: Gongcheng Kexue Yu Jishu/Advanced Engineering Science
    • DOI: 10.15961/j.jsuese.201801163

“Time-Varying Nonlinear Parametric Identification of Isolated Structure Based on Wavelet Multiresolution Analysis”

    • Year: 2019
    • Journal: Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis
    • DOI: 10.16450/j.cnki.issn.1004-6801.2019.03.024

“Welding Residual Stress Simulation and Experimental Verification in Beam-to-Column Joints of Q345B Steel”

    • Year: 2019
    • Journal: Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science)
    • DOI: 10.12141/j.issn.1000-565X.190044

 

Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

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Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

Ms. Xinlu Bai, Changchun university, China

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, following an Engineering Degree from Zhengzhou University of Finance and Economics (2018-2022). Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His research includes the development of the GR-YOLO algorithm, which improves detection performance over existing methods like YOLOv8, with notable advancements in accuracy across various datasets. Xinlu’s work has been published in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. He has been recognized for his excellence in competitions, winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

Professional Profile:

Orcid

Suitability Summary for Best Researcher Award

Researcher: Xinlu Bai

Summary:

Xinlu Bai is a highly qualified candidate for the Best Researcher Award, distinguished by his innovative research and significant contributions to the field of computer science, particularly in pedestrian detection technology. Bai’s work demonstrates a clear commitment to advancing technology through rigorous research and practical applications.

🎓Education:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, which he has been enrolled in since 2023. He previously completed his Engineering Degree at Zhengzhou University of Finance and Economics, where he studied from 2018 to 2022. Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His development of the GR-YOLO algorithm, which enhances detection performance compared to YOLOv8, has been recognized through publications in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. His excellence has been acknowledged in various competitions, including winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

🏆Awards:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, having previously completed his Engineering Degree at Zhengzhou University of Finance and Economics. His contributions to computer vision, particularly through the development of the GR-YOLO algorithm, have been published in Sensors and guided by Professors Deyou Chen and Nianfeng Li. Xinlu’s excellence in the field has been recognized with several prestigious awards: he won the First Prize in the Jilin Province Virtual Reality Competition, the Second Prize in the China Virtual Reality Competition (Data Visualization Track), and the Third Prize in the Jilin Province Ruikang Robot Competition.

Publication Top Notes:

Title: Dense Pedestrian Detection Based on GR-YOLO

 

 

 

Prof Dr. Seung-Bok Choi | Sensors Awards | Best Researcher Award

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Prof Dr. Seung-Bok Choi | Sensors Awards | Best Researcher Award 

Prof Dr. Seung-Bok Choi, The State University of New York, Korea, South Korea

Seung-Bok Choi is a distinguished professor in the Mechanical Engineering Department at The State University of New York, Korea (SUNY Korea), located in the Incheon Global Campus. He holds a Ph.D. (1990) and an M.S. (1986) in Mechanical Engineering from Michigan State University, and a B.S. (1979) in Mechanical Engineering from Inha University, Korea. Prior to his current role, he served for 30 years at Inha University. His research primarily focuses on the design and control of dynamic systems involving smart materials such as MR Fluid, ER Fluid, SMA, and piezoelectric materials. He has an impressive publication record with approximately 700 SCI articles and 20 books/book chapters. He holds editorial positions for 20 international journals, including Smart Materials and Structures, and Journal of Intelligent Material Systems and Structures. He has received numerous awards from prestigious organizations such as ASME, IMechE, NAEK, and KAST. A fellow of both KAST and NAEK, Choi’s accolades include the 4th Korea Engineering Award and the 8th Duckmyung Engineering Academy Award. His Google Scholar h-index is 71 with 23,737 citations, and he holds top national and global ranks in Mechanical and Aerospace Engineering, Vibration Control, and Smart Materials. He has advised 156 M.S. students, 43 Ph.D. students, and 14 postdoctoral fellows, and holds 145 registered Korean patents.

Professional Profile

ORCID

 

EDUCATION 🎓

  • Ph.D. in Mechanical Engineering
    Michigan State University, East Lansing, Michigan, U.S.A.
    1986. 9 – 1990. 6
  • M.S. in Mechanical Engineering
    Michigan State University, East Lansing, Michigan, U.S.A.
    1984. 9 – 1986. 6
  • B.S. in Mechanical Engineering
    Inha University, Incheon, Korea
    1975. 3 – 1979. 2

PROFESSIONAL EXPERIENCE 👨‍🏫

  • Leading Professor (碩座敎授), Mechanical Engineering Department
    The State University of New York, Korea (SUNY Korea)
    Present
  • Former Professor, Mechanical Engineering
    Inha University, Korea
    30 years of service, retired in 2021

RESEARCH INTERESTS & CONTRIBUTIONS 🔬

  • Research Fields: Design and control of dynamic systems with smart materials (MR Fluid, ER Fluid, SMA, piezoelectric materials).
  • Publications: About 700 SCI articles, 20 books/book chapters.
  • Editorial Roles: Serving on the editorial boards of 20 international journals including Smart Materials and Structures, Journal of Intelligent Material Systems and Structures, Sensors, and Scientific Reports.

HONORS & AWARDS 🏅

  • The Korean Academy of Science and Technology (KAST) & The National Academy of Engineering of Korea (NAEK)
    • Junior Fellow/Fellow/Senior Fellow (2000. 3 – Present)
    • The 4th Korea Engineering Award (Young Engineer Award) (2000. 3. 10)
    • Fellow (2008. 3 – Present)
    • *The 8th Duckmyung

 

Publication top Notes

 

Adaptive Control for Suspension System of In-Wheel Motor Vehicle with Magnetorheological Damper

Sensor-Less Control of Mirror Manipulator Using Shape Memory Polyimide Composite Actuator: Experimental Work

Design and Control of a Shape Memory Alloy-Based Idle Air Control Actuator for a Mid-Size Passenger Vehicle Application

A New Rotary Magnetorheological Damper for a Semi-Active Suspension System of Low-Floor Vehicles

A New Type of Hydraulic Clutch with Magnetorheological Fluid: Theory and Experiment

Sensors and Sensing Devices Utilizing Electrorheological Fluids and Magnetorheological Materials—A Review