2023 3rd International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM 2023)



Prof. Ying-Ren Chien, IEEE Senior Member

National Ilan University, China

Biography: Prof. Ying-Ren Chien received his Ph.D. degree in Communication Engineering from National Taiwan University (2009). He was a communication engineering in Chunghwa Telecom (2000-2009), which is the largest integrated telecommunication service provider in Taiwan. From 2009 to 2010, he joined the with the Research Center for Information Technology Innovation, Academia Sinica, as a postdoctoral fellow. Then, Dr. Chien serves as an Assistant Research Fellow in National Chung-Shan Institute of Science & Technology since 2010 to 2012. Since 2012, Dr. Chien joined the Department of Electrical Engineering, National Ilan University, Yilan City, Taiwan. Since 2018, he we promoted as a Full Professor and served the Chair. His research interests are consumer electronics, multimedia denoising algorithms, adaptive signal processing theory, active noise control, machine learning, Internet of Things, and interference cancelation. Since 2022, he has servered as the vice chair of IEEE CESoc Virtual Reality, Augmented Reality and Metaverse (VAM). He received Best Paper Awards including ICCCAS 2007, Conference on Computational Linguistics and Speech Processing (ROCKLING2017), and IEEE ISPAS 2021. Dr. Chien was presented with IEEE CESoc/CTSoc Service Awards (2019), NSC/MOST Special Outstanding Talent Award (2021), excellent research-teacher award (2018 and 2022), and excellent teaching award (2021). Prof. Chien was listed the world’s top 2% of top scientists through Scopus’s paper influence data (2020, 2021 Science Impact Rankings). He is an IEEE Senior Member and IEICE Senior Member. He haspublished +70 journal/conference papers.

Title: Robust Active Noise Control based on Affine-Projection-Like Maximum Correntropy Criteria

Abstract: Impulse noise (IN) can seriously degrade the performance of conventional active noise control (ANC) algorithms. Here, we present a novel feedforward ANC algorithm based on an information-theoretic learning framework with the data-reuse scheme of affine-projection-based algorithms. Inspired by the maximum correntropy criterion (MCC), the proposed algorithm is referred to as the modified filtered-x affine-projection-like MCC (MFxAPLMCC). Furthermore, we developed an objective function to maximize the correntropy between the system’s desired vectors and the secondary path’s output vectors to enhance robustness. Moreover, linear approximation reduces computational complexity, and the optimal step size is derived mathematically to accelerate convergence and increase the noise reduction ratio. The MFxAPLMCC algorithm was thoroughly evaluated in terms of stability and computational complexity; numerical simulations were used to confirm the effectiveness in terms of average noise reduction. The efficiency of our method was verified using three types of input: (1) symmetric alpha-stable (S α S) IN, (2) a mixture of sinusoidal and IN, and (3) in-vehicle engine acceleration noise. We also verified the tracking capability of the adaptive algorithm for a case in which the primary path changes abruptly. Furthermore, the real measured acoustic path for ANC in-ear headphone development was used to validate the proposed method in real environments. The proposed algorithm significantly outperformed comparative ANC algorithms in convergence rate and noise reduction ratio. We also confirmed that the theoretical bound for stable step size coincides with the numerical results. The parameter sensitivity of the MFxAPLMCC was analyzed as well.

Professor.Jude Hemanth.png

Prof. Jude Hemanth, IEEE Senior Member

Karunya Institute of Technology and Sciences, India

Biography: Prof. Jude Hemanth is working as a Professor in the Department of ECE, Karunya University, Coimbatore, India. He also holds the position of “Visiting Professor” in the Faculty of Electrical Engineering and Information Technology, at the University of Oradea, Romania. He has authored more than 150 research papers in reputed SCIE-indexed International Journals and Scopus-indexed International Conferences. His Cumulative Impact Factor is more than 250. He has published 37 edited books with reputed publishers such as Elsevier, Springer, and IET. He holds professional membership with IEEE Technical Committee on Neural Networks (IEEE Computational Intelligence Society) and IEEE Technical Committee on Soft Computing (IEEE Systems, Man and Cybernetics Society), and ACM.

Research Area: Artificial Intelligence, Machine Learning, Image Processing, Data Science, Artificial Neural networks, Biomedical Engg.


Prof. Chen Zhikui, Dalian University of Technology, China

Biography: Dr. Chen Zhikui, professor and doctoral supervisor of Dalian University of technology since November 2007, director of big data Research Institute of Dalian University of technology. Research direction: big data and artificial intelligence. 1998-2007 engaged in scientific research on network and data computing in Hong Kong Baptist University, French Institute of automation, University of Stuttgart, Germany. 

National projects in recent five years:

1. National key R & D project, Key technology research for cross domain case filing and collaboration among professional courts (2018YFC083130020, 18.7.1-2021.6.30, with a total funding of 11.15 million yuan);

2. National key R & D program, Source apportionment and pollution characteristics of heavy metals in farmland and agricultural products (2016YFD08030202016.1.1-2020.12.31);

3. Key project of National Natural Science Foundation of China (NSFC) (technical director), research on management analysis and mining of multi-source heterogeneous big data for "three old" transformation (u13012532014.1-2017.12);

4. Two general projects of NSFC, research on adaptive depth computing model for land resource feature learning (61672123), Research on few-shots cross-modal learning model for interpretation of land utilization status data (62076047), 2021 / 01-2024 / 12.

Academic achievements and contributions in recent five years:

A series of big data computing theories and algorithms as well as artificial intelligence technology have been created, a big data algorithm library platform has been developed, and an artificial intelligence computing platform has been constructed, which has been applied in engineering practice. Published more than 100 academic papers and more than 50 SCI retrieved journals. 20 invention patents have been applied and 13 have been authorized. Four software copyrights were issued and three books were published. One special award, first award and second award of science and technology progress of Geographic Information Association in 2020,2018,2016; One third award of Huaxia Construction Science and technology in 2021.


AIIM 2022-Keynote Speakers


 Karpagam College of Engineering, India

Title: Artificial Intelligence Approaches For Digital Manufacturing

Assoc. Prof. He Chen

Hebei University of Technology, China

Title: Control Research for Underactuated Cranes with State Constraints

Assoc Prof. Chuanjun Zhao

Shanxi University of Finance and Economics, China

Title: Cross-domain sentiment classification