Prof. Shuo-Tsung Chen | Image Processing Awards | Best Researcher Award

Prof. Shuo-Tsung Chen | Image Processing Awards | Best Researcher Awardย 

Prof. Shuo-Tsung Chen, Chung Shan Medical University, Taiwan

Shuo-Tsung Chen is a dedicated academic and researcher specializing in signal processing, biomedical engineering, the Internet of Things (IoT), image processing, information hiding, big data, optimal control system design, and artificial intelligence. Dr. Chen earned his B.S. degree in Mathematics from National Cheng Kung University in 1996, followed by an M.S. in Applied Mathematics from Tunghai University in 2003. He completed his Ph.D. in Electrical Engineering at National Chi Nan University in 2010. Dr. Chen has extensive academic experience, having served as a Post-Doctoral Fellow at the Graduate Institute of Biomedical Engineering at National Taiwan University College of Medicine and as an Assistant Professor at the College of Future, National Yunlin University of Technology. He has also held positions as a Calculus Speaker in Electrical and Electronics Engineering at National Chi Nan University, a Research Assistant at Chaoyang University of Technology, and an Adjunct Assistant Professor in the Department of Mathematics at Tunghai University.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Shuo-Tsung Chen, Ph.D.

Shuo-Tsung Chen is an accomplished academic currently serving as an Assistant Professor in Taiwan. With a comprehensive educational background in mathematics and electrical engineering, along with diverse research experience in various cutting-edge fields, he is a strong contender for the Best Researcher Award.

Education

๐ŸŽ“ Ph.D. in Electrical Engineering
National Chi Nan University, Puli, Nantou, Taiwan, 2010

๐Ÿ“š M.S. in Applied Mathematics
Tunghai University, Taichung, Taiwan, 2003

๐Ÿ“ B.S. in Mathematics
National Cheng Kung University, Tainan, Taiwan, 1996

Work Experience

๐Ÿซ Assistant Professor
National Yunlin University of Technology, College of Future, Taiwan (Present)

๐Ÿ”ฌ Post-Doctoral Fellow
Graduate Institute of Biomedical Engineering, National Taiwan University College of Medicine, Taiwan

๐Ÿ‘จโ€๐Ÿซ Adjunct Assistant Professor
Department of Mathematics, Tunghai University (September 2010 – Present)

๐Ÿ’ผ Post-Doctoral Fellow
Department of Industrial Engineering and Enterprise Information, Tunghai University (August 2012 – Present)

๐Ÿ“ˆ Research Assistant
Department of Information and Communication, Chaoyang University of Technology (August 2009 – January 2010)

๐Ÿ“ Calculus Speaker
Electrical and Electronics Engineering, National Chi Nan University (August 2005 – July 2006)

Achievements, Awards, and Honors

๐Ÿ… National Cheng Kung University Scholarship โ€“ Recognized for outstanding academic performance (Year unspecified).
๐ŸŒŸ Tunghai University Excellence Award โ€“ Acknowledged for contributions to academic research (Year unspecified).
๐Ÿ“œ Publication in Leading Journals โ€“ Authored several papers on topics including Signal Processing, Biomedical Engineering, and Artificial Intelligence (Years unspecified).

Publicationย Top Notes:

Measurement Invariance Investigation for Performance of Deep Learning Architectures

Emergency Evacuation Planning via the Point of View on the Relationship Between Crowd Density and Moving Speed

Patient Confidential Information Transmission Using the Integration of PSO-Based Biomedical Signal Steganography and Threshold-Based Compression

Digital audio watermarking using minimum-amplitude scaling on optimized DWT low-frequency coefficients

Machine Learning Modeling for Failure Detection of Elevator Doors by Three-Dimensional Video Monitoring

Prof. Suk Chan Kim | Computer Vision Awards | Best Researcher Award

Prof. Suk Chan Kim | Computer Vision Awards | Best Researcher Awardย 

Prof. Suk Chan Kim, Pusan National University, South Korea

Suk Chan Kim is a distinguished scholar in the field of Electrical and Electronics Engineering, specializing in wireless mobile communications, signal processing, mesh networks, IoT, underwater communications, and artificial intelligence. He currently serves as an Assistant Professor in the Department of Electronics Engineering at Pusan National University (PNU), Korea, where he has been contributing to academia since 2002. Dr. Kim earned his Ph.D. (2000) and M.S.E. (1995) in Electrical Engineering from the Korea Advanced Institute of Science & Technology (KAIST), following a B.S.E. degree with summa cum laude honors from PNU in 1993. His postdoctoral research at Princeton University (2000โ€“2001) further honed his expertise in advanced engineering topics. He has also worked as a researcher at the Electronics and Telecommunications Research Institute (ETRI) in Korea and as a teaching and research assistant at KAIST.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Suk Chan Kim

Dr. Suk Chan Kim is a highly accomplished researcher with significant contributions in wireless mobile communications, signal processing, IoT, underwater communications, and artificial intelligence. Based on his profile, here are the key highlights supporting his candidacy for the “Research for Best Researcher Award”:

Education ๐ŸŽ“

  • Ph.D. in Electrical Engineering
    Korea Advanced Institute of Science & Technology (KAIST), Daejeon, Korea, 2000
  • M.S.E. in Electrical Engineering
    KAIST, Daejeon, Korea, 1995
  • B.S.E. (Summa Cum Laude) in Electronics Engineering
    Pusan National University (PNU), Pusan, Korea, 1993

Work Experience ๐Ÿ’ผ

  • Assistant Professor
    Dept. of Electronics Engineering, Pusan National University, Korea (March 2002 โ€“ Present)
  • Postdoctoral Researcher
    Dept. of Electrical Engineering, Princeton University, USA (August 2000 โ€“ July 2001)
  • Researcher
    Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea (March 2000 โ€“ July 2000)
  • Teaching and Research Assistant
    Dept. of Electrical Engineering, KAIST, Daejeon, Korea (March 1993 โ€“ February 2000)

Awards & Honors ๐Ÿ†

  • Grants for Postdoctoral Study Abroad
    Korea Science and Engineering Foundation (KOSEF), 2000 ๐ŸŒ
  • Grants for Young Scientists
    Korea Research Foundation (KRF), 1998 ๐Ÿง‘โ€๐Ÿ”ฌ
  • Summa Cum Laude
    Pusan National University, Pusan, Korea, 1993 ๐ŸŽ–๏ธ
  • Hyundai Asan Foundation Scholarship
    1992 ๐ŸŽ“

Publicationย Top Notes:

ESFD-YOLOv8n: Early Smoke and Fire Detection Method Based on an Improved YOLOv8n Model

Enhancing automated strabismus classification with limited data: Data augmentation using StyleGAN2-ADA

Ultrasonic Based Outdoor Localization Using Threshold Crossing

DBPN-Based Uplink Channel Estimation for Multi-User MISO RIS System

Low-Complexity RIS Phase Error Estimation Method for RIS-Aided OFDM Systems

Spectrum Allocation Based on Deep Reinforcement Learning in mmWave Integrated Access and Backhaul Network

Assoc. Prof. Dr. Sebnem Bora | Image Processing Awards | Best Researcher Award

Assoc. Prof. Dr. Sebnem Bora | Image Processing Awards | Best Researcher Awardย 

Assoc. Prof. Dr. Sebnem Bora, Ege University, Turkey

Dr. Sebnem Bora is an Associate Professor at Ege University, Faculty of Engineering, Computer Engineering Department in Izmir, Turkey. He earned his Ph.D. in Computer Engineering from Ege University in 2006, following M.Eng. degrees from Stevens Institute of Technology, USA, and Dokuz Eylรผl University, Turkey, and a B.Sc. in Electrical Engineering from Dokuz Eylรผl University. Since joining Ege University as an Assistant Professor in 2006, he has advanced to Associate Professor in 2019, specializing in computer software and embedded systems.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:ย 

Dr. ลžebnem Bora has a solid academic foundation, with degrees in electrical engineering, electronics, communication, and computer software engineering. Her international education experience, including a Masterโ€™s at Stevens Institute of Technology (USA), highlights her global academic exposure.

๐ŸŽ“ Education:

  • ๐Ÿ“œ Ph.D. (1999โ€“2006): Computer Engineering, Ege University, Graduate School of Natural and Applied Science, Turkey ๐Ÿ–ฅ๏ธ
  • ๐Ÿ“œ M.Eng. (1995โ€“1997): Electrical Engineering and Computer Science, Stevens Institute of Technology, USA ๐Ÿ‡บ๐Ÿ‡ธ
  • ๐Ÿ“œ M.Eng. (1993โ€“1995): Electronics and Communication, Dokuz Eylรผl University, Turkey ๐Ÿ“ถ
  • ๐Ÿ“œ B.Sc. (1989โ€“1993): Electrical Engineering, Dokuz Eylรผl University, Turkey โšก

๐ŸŽ“ Academic Career:

  • ๐Ÿ“š Associate Professor (2019โ€“Present): Ege University, Computer Engineering Department ๐Ÿซ
  • ๐Ÿ“š Assistant Professor (2006โ€“2019): Ege University, Computer Engineering Department ๐Ÿ‘ฉโ€๐Ÿซ

๐Ÿ–ฅ๏ธ Courses Taught:

  • Microcontroller-Based System Design ๐Ÿค–
  • Electrical Circuits ๐Ÿ”‹
  • Microprocessors ๐Ÿงฎ
  • Embedded and Real-Time Systems โฑ๏ธ
  • Digital Electronics ๐Ÿ’ก
  • Complex Adaptive Systems ๐ŸŒ
  • Agent-Based Modeling ๐Ÿค

๐Ÿ“– Thesis Supervision Highlights:

  • ๐ŸŒฑ Deep Learning for Detecting Nutrient Deficiencies in Plants (2023) ๐ŸŒพ
  • ๐Ÿซ’ Agent-Based Modeling for Olive Fruit Fly Control in Turkey (2021) ๐ŸฆŸ
  • ๐Ÿ–ง Heterogeneous Load Balancing Algorithm for Hadoop (2019) ๐Ÿ“Š
  • โš™๏ธ Self-Adaptive Systems Global Behavior Modeling via Agent-Based Systems (2017) ๐Ÿš€
  • ๐Ÿ–ผ๏ธ Real-Time Implementation of Digital Image Enhancement Algorithms in Embedded Systems (2012) ๐Ÿ–ผ๏ธ

๐Ÿ”ฌ Research Interests:

  • Agent-Based Modeling ๐Ÿค
  • Embedded Systems ๐Ÿค–
  • Digital Electronics ๐Ÿ’ก
  • Complex Adaptive Systems ๐ŸŒ

Publication top Notes:

Diagnosis of Pancreatic Ductal Adenocarcinoma Using Deep Learning

Exploiting Image Processing and Artificial Intelligence Techniques for the Determination of Antimicrobial Susceptibility

Computational Fluid Dynamics and Numeric Analysis of Aortic Wall Shear Stress Alterations Induced by Fatty Streaks

External Interventions: Bluffing and Adaptive Learning in Civil Wars

Exploiting Pre-Trained Convolutional Neural Networks for the Detection of Nutrient Deficiencies in Hydroponic Basil

Behavioural Representation of the Aorta by Utilizing Windkessel and Agent-Based Modelling

Company Security Assesment with Agent Based Simulation