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

Best Overall Sensing Technology

Introduction Best Overall Sensing Technology

Welcome to the Best Overall Sensing Technology Award, celebrating innovation and excellence in sensing technology. This award recognizes groundbreaking contributions that have the potential to revolutionize industries and improve the quality of life.

About the Award: The Best Overall Sensing Technology Award is open to individuals and teams who have developed cutting-edge sensing technologies. There are no age limits for applicants, and both academic and industry professionals are eligible to apply. Publications related to the sensing technology are encouraged but not required.

Eligibility:

  • Open to individuals and teams
  • No age limits
  • Academic and industry professionals eligible
  • Publications encouraged but not required

Qualifications: Applicants should have a strong background in sensing technology, demonstrated through academic achievements, professional experience, and innovative contributions to the field.

Submission Guidelines:

  • Submit a detailed description of the sensing technology
  • Include supporting documents such as publications, patents, and technical specifications
  • Provide a biography highlighting relevant experience and achievements
  • Include an abstract summarizing the technology and its potential impact
  • Submit supporting files, such as videos, images, or prototypes, if available

Evaluation Criteria: Submissions will be evaluated based on the following criteria:

  • Innovation and creativity
  • Technical merit
  • Potential impact on industry or society
  • Feasibility and scalability

Recognition: Winners of the Best Overall Sensing Technology Award will receive a cash prize, a certificate of achievement, and recognition on our website and social media platforms. They will also have the opportunity to present their technology at a special event.

Community Impact: The award aims to promote collaboration and knowledge sharing within the sensing technology community, fostering a culture of innovation and advancement in the field.

Biography: Applicants should provide a brief biography highlighting their relevant experience, qualifications, and achievements in the field of sensing technology.

Abstract and Supporting Files: Applicants should include an abstract summarizing their sensing technology and its potential impact. Supporting files such as videos, images, or prototypes can also be submitted to supplement the application.