Sheng-Lung Peng

Sheng-Lung Peng is a Professor and the director (head) of the Department of Creative Technologies and Product Design, National Taipei University of Business, Taiwan. He received the PhD degree in Computer Science from the National Tsing Hua University, Taiwan. He is an honorary Professor of Beijing Information Science and Technology University, China, and a visiting Professor of Ningxia Institute of Science and Technology, China. He is also an adjunct Professor of Mandsaur University, India. Dr. Peng has edited several special issues at journals, such as Soft Computing, Journal of Internet Technology, Journal of Real-Time Image Processing, International Journal of Knowledge and System Science, MDPI Algorithms, and so on. His research interests are in designing and analyzing algorithms for Bioinformatics, Combinatorics, Data Mining, and Networks areas in which he has published over 100 research papers.

Publications

The Ethical Frontier of AI and Data Analysis
The Ethical Frontier of AI and Data Analysis
Rajeev Kumar, Ankush Joshi, Hari Om Sharan, Sheng-Lung Peng, Chetan R. Dudhagara. © 2024. 456 pages.
In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical...
Foreword
Foreword
Sheng-Lung Peng. © 2023.
This Foreword is included in the book Principles and Applications of Socio-Cognitive and Affective Computing.
The IoT and the Next Revolutions Automating the World
The IoT and the Next Revolutions Automating the World
Dinesh Goyal, S. Balamurugan, Sheng-Lung Peng, Dharm Singh Jat. © 2019. 340 pages.
Smart homes, smart cities, and wearable technologies are the growing applications of the internet of things (IoT). Ranging from healthcare tracking applications to smart watches...
Authorship Attribution for Online Social Media
Authorship Attribution for Online Social Media
Ritu Banga, Akanksha Bhardwaj, Sheng-Lung Peng, Gulshan Shrivastava. © 2018. 25 pages.
This chapter gives a comprehensive knowledge of various machine learning classifiers to achieve authorship attribution (AA) on short texts, specifically tweets. The need for...
Audio Watermarking With Reduced Number of Random Samples
Audio Watermarking With Reduced Number of Random Samples
Rohit Anand, Gulshan Shrivastava, Sachin Gupta, Sheng-Lung Peng, Nidhi Sindhwani. © 2018. 23 pages.
Digital signal watermarking is an indiscernible and safe transmission of freehold data through host signal that includes immersing into and extrication from the actual host. Some...