Prof. Donkyu Baek | Sensing Data Award | Best Researcher Award

Prof. Donkyu Baek | Sensing Data Award | Best Researcher Award 

Prof. Donkyu Baek, Chungbuk National University, South Korea

Dr. Donkyu Baek (백돈규) is an Associate Professor at the School of Semiconductor Engineering, College of Electrical and Computer Engineering, Chungbuk National University in Cheongju, South Korea. He earned his Ph.D. in Electrical Engineering from KAIST (Korea Advanced Institute of Science and Technology) in 2017, where he also completed his Master’s degree. His research spans energy-efficient system optimization for UAVs (Unmanned Aerial Vehicles), low-power electric vehicles, and IoT applications, with a focus on energy harvesting technologies. Prior to his current position, Dr. Baek served as an Assistant Professor at Chungbuk National University’s School of Electronics Engineering and held postdoctoral research fellowships at KAIST and Politecnico di Torino, Italy. His contributions to energy-efficient design have earned him several accolades, including awards from the IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) and the Design Automation Conference (DAC). Dr. Baek has been an active member of several technical program committees and continues to contribute to leading conferences in his field.

Professional Profile:

 

Suitability of Dr. Donkyu Baek for the Best Researcher Award

Dr. Donkyu Baek’s academic career and research contributions reflect an excellent fit for the Best Researcher Award. His multidisciplinary expertise in energy-efficient UAVs, low-power electric vehicles, and on-chip design for IoT applications showcases innovative and impactful research areas with significant real-world implications. Below is a detailed evaluation of his qualifications:

Education

  1. Doctor of Philosophy (Ph.D.)
    • Field: Electrical Engineering
    • Institution: KAIST, Daejeon, Korea
    • Graduation Date: February 2017
  2. Master of Science (M.S.)
    • Field: Electrical Engineering
    • Institution: KAIST, Daejeon, Korea
    • Graduation Date: February 2011
  3. Bachelor of Science (B.S.)
    • Field: Electrical Engineering
    • Institution: Hanyang University, Seoul, Korea
    • Graduation Date: August 2008

Work Experience

  1. Associate Professor
    • Institution: School of Semiconductor Engineering, Chungbuk National University, Cheongju, Korea
    • Dates: March 2024 – Present
  2. Assistant Professor
    • Institution: School of Electronics Engineering, Chungbuk National University, Cheongju, Korea
    • Dates: March 2020 – February 2024
  3. Postdoctoral Research Fellow
    • Institution: Department of Control and Computer Engineering, Politecnico di Torino, Turin, Italy
    • Dates: January 2018 – January 2020
  4. Postdoctoral Research Fellow
    • Institution: School of Electrical Engineering, KAIST, Daejeon, Korea
    • Dates: February 2017 – December 2017

Publication top Notes:

Low-Power Preprocessing System at MCU-Based Application Nodes for Reducing Data Transmission

Navigation Path Following Platform for a Greenhouse Shuttle Robot Using the State-flow Method

Energy-efficient driving scheduling for heterogeneous electric vehicles with consideration of overtaking

On-Chip Energy Harvesting System with Storage-Less MPPT for IoTs

Multi-Criteria Coordinated Electric Vehicle-Drone Hybrid Delivery Service Planning

Preprocessing at Application Nodes for Reduction of Data Transmission in Edge Computing

Efficient Load Balancing Method using Multi-Hop Network in Edge Computing Environment

Flight History-Aware Battery Temperature Estimator for Unmanned Aerial Vehicles Based on Deep Neural Network

Prof Dr. Zhongwei Jiang | Intelligent sensing | Best Researcher Award

Prof Dr. Zhongwei Jiang | Intelligent sensing | Best Researcher Award 

Prof Dr. Zhongwei Jiang, Yamaguchi University, Japan

Professor Zhongwei Jiang is a distinguished academic and researcher in the field of Mechanical Engineering. He currently serves as a Professor at the Graduate School of Sciences and Technology for Innovation at Yamaguchi University in Japan. Born on [insert date of birth], he began his academic journey at Northeastern University in China, where he earned his Bachelor of Engineering degree in Mechanical Engineering in 1982. He then pursued further studies in Japan, obtaining both his Master of Engineering in 1987 and Doctor of Engineering in 1990 from Tohoku University. Professor Jiang’s professional career commenced as a research assistant in the Department of Mechanical Engineering at Tohoku University from 1990 to 1993. He then advanced to the role of Associate Professor within the same department, a position he held until 1999. In July 1999, he joined Yamaguchi University as a Professor in the Department of Mechanical Engineering, where he has significantly contributed to the academic community. In April 2024, he was honored with the title of Honorary Professor at Yamaguchi University.

Professional Profile:

SCOPUS

 

👨‍🎓 Education:

  • 📚 Bachelor of Engineering (1978.9 – 1982.8) – Dept of Mechanical Engineering, Northeastern University, China
  • 📚 Master of Engineering (1985.4 – 1987.3) – Dept of Mechanical Engineering, Tohoku University, Japan
  • 📚 Doctor of Engineering (1987.4 – 1990.3) – Dept of Mechanical Engineering, Tohoku University, Japan

👨‍🏫 Employment:

  • 🔬 Research Assistant (1990.4 – 1993.2) – Dept of Mechanical Engineering, Tohoku University, Japan
  • 👨‍💼 Associate Professor (1993.3 – 1999.6) – Dept of Mechanical Engineering, Tohoku University, Japan
  • 👨‍🏫 Professor (1999.7 – 2024.3) – Dept of Mechanical Engineering, Yamaguchi University, Japan
  • 🎓 Honorary Professor (2024.4 – Present) – Yamaguchi University, Japan

Work Experience:

Research Assistant, Department of Mechanical Engineering, Tohoku University, Japan
April 1990 – February 1993

  • Conducted research in mechanical engineering, focusing on advanced manufacturing techniques.
  • Assisted in teaching undergraduate and graduate courses.
  • Published research papers in reputable journals.

 

Publication top Notes:

Compensation Method for Missing and Misidentified Skeletons in Nursing Care Action Assessment by Improving Spatial Temporal Graph Convolutional Networks

Research on analytical models for reducing friction heat for flexible ultrasonic propagation using stranded wire

Visualization of Caregiving Posture and Risk Evaluation of Discomfort and Injury

Development of invitro blood vessel coagulation-incision experimental method and characterization of opposite-phase vibration type ultrasonic scalpel

Tidal Volume Level Estimation Using Respiratory Sounds

Monitoring of Sleep Breathing States Based on Audio Sensor Utilizing Mel-Scale Features in Home Healthcare