Sheng-Lung Peng | Artificial Intelligence | Best Researcher Award

Prof. Sheng-Lung Peng, School of Innovative Design and Management at National Taipei University of Business, Taiwan .

Sheng-Lung Peng is a Professor at the Department of Creative Technologies and Product Design, and Dean of the School of Innovative Design and Management at National Taipei University of Business, Taiwan. With a BS in Mathematics and an MS/PhD in Computer Science, he is a prominent figure in algorithm design, bioinformatics, and artificial intelligence. He holds multiple honorary and adjunct professor roles in Taiwan, China, and India, and is a leader in various computing associations. He has also edited and reviewed for leading journals. His work bridges academic innovation and real-world applications.

Publication profile

Orcid

Education and Experience

BS in Mathematics – National Tsing Hua University
MS in Computer Science and Information Engineering – National Chung Cheng University
PhD in Computer Science – National Tsing Hua University
Honorary Professor – Beijing Information Science and Technology University
Visiting Professor – Ningxia Institute of Science and Technology, China
Adjunct Professor – National Dong Hwa University, Taiwan & Kazi Nazrul University, India
Honorary Adjunct Professor – Sir Padampat Singhania University & Baroda University, India

Suitability for The Award

Dr. Sheng-Lung Peng’s extensive academic and professional achievements make him a strong candidate for the Best Researcher Award. His contributions to the fields of algorithm design, artificial intelligence, bioinformatics, and data mining demonstrate a profound impact on both academic research and practical applications.

Professional Development ()

Dr. Sheng-Lung Peng has played a pivotal role in shaping computational education and research globally. He is the President of the Taiwan Computer Programming Contest and the Association of Algorithms and Computation Theory, as well as the Co-director of the ICPC Asia Pacific. In his editorial work, he has contributed to numerous top-tier journals like IEEE Internet of Things Magazine and Computers and Electrical Engineering. His leadership in the fields of cloud computing and information literacy, coupled with his involvement in international academic collaborations, reflects his commitment to advancing global computing knowledge.

Research Focus

Sheng-Lung Peng’s research interests lie at the intersection of algorithm design, artificial intelligence, bioinformatics, combinatorics, data mining, and networking. His work focuses on creating efficient algorithms to solve complex problems in these fields. His innovations have contributed significantly to advancements in bioinformatics, helping analyze biological data more effectively, and artificial intelligence, improving machine learning models and data processing. His contributions in combinatorics and data mining have expanded the frontiers of knowledge in both theoretical and applied domains.

Awards and Honors ()

Honorary Professor – Beijing Information Science and Technology University
Visiting Professor – Ningxia Institute of Science and Technology, China
President – Association of Taiwan Computer Programming Contest
Co-director – ICPC Asia Pacific
Adjunct Professor – Sir Padampat Singhania University, Baroda University, India
Director – Institute of Information and Computing Machinery
Supervisor – Chinese Information Literacy Association

Publication

Privacy-Preserving Authentication Based on PUF for VANETs – Future Internet, 2024. Cited by: N/A
On the d-Claw Vertex Deletion Problem – Algorithmica, 2024. Cited by: N/A
SAHA: An SDN Enabled Fog Architecture for Healthcare Applications – Conference Paper, 2024. Cited by: N/A
Model Compression Algorithm via Reinforcement Learning and Knowledge Distillation – Mathematics, 2023. Cited by: N/A
Depth Map Super-Resolution Based on Semi-Couple Deformable Convolution Networks – Mathematics, 2023. Cited by: N/A
A Novel Channel Pruning Compression Algorithm Combined with an Attention Mechanism – Electronics, 2023. Cited by: N/A
A Compact Parallel Pruning Scheme for Deep Learning Model and Its Mobile Instrument Deployment – Mathematics, 2022. Cited by: 4
Adaptive Aggregate Stereo Matching Network with Depth Map Super-Resolution – Sensors, 2022. Cited by: 7
Smart and Future Applications of Internet of Multimedia Things (IoMT) Using Big Data Analytics – Sensors, 2022. Cited by: 10
A Novel Fusion Pruning Algorithm Based on Information Entropy Stratification and IoT Application – Electronics, 2022. Cited by: 9