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Important Dates
  • Paper submission due:

    November 30, 2022

  • Registration deadline:

    December 20, 2022

  • Conference date:

    December 26-27, 2022

  • Organizer:

    Beijing University of Technology

  • General Chair:

    Jingsha He, Professor, Beijing University of Technology

Contact US
  • Conference Secretary:

    Ms. Su

  • Tel:


  • Email:

  • Jingsha He:Professor of Beijing University of Technology & leading professor for "Chutian Scholars Program" of Hubei Province.

    Research field:computer networks; information safety; 3D printing; big data and cloud computing security; digital forensics.

    Graduated from University of Maryland, he has worked in IBM Corp., MCI Communications Corp., GRIC Communications, Inc., etc. in America, and got 15 American patents for invention. In 2003, he was introduced to Beijing University of Technology. At present, he has published 261 papers in international journals and conference proceedings, and got 58 Chinese patents for invention, presided over more than 30 projects as well, such as National Natural Science Foundation of China, 863 project, etc.

  • S. M. Mizanoor Rahman:Assistant Professor of Department of Intelligent Systems and Robotics, University of West Florida, USA.

    Research field:robotics; automation for Industry; mechatronic; mechanism design; sensing and controls for assistive; (bio)medical; rehabilitation; unmanned autonomous vehicles.

    Dr. S. M. Mizanoor Rahman worked as a research fellow at the National University of Singapore (NUS), and at Nanyang Technological University, Singapore. He then worked at Vrije University of Brussels, Belgium as a postdoctoral researcher sponsored by the European Commission under the 7th framework. During his position in Belgium, Dr. Rahman collaborated with several universities in Belgium, Germany, and Spain. He then worked as a postdoctoral researcher at Clemson University, SC, USA, and also actively collaborated with BMW Manufacturing Co., SC, USA. Dr. Rahman then worked as a postdoctoral associate at the Mechanical and Aerospace Engineering Department and an instructor at the Center for K-12 STEM Education of New York University (NYU), NY, USA. During his above research positions, Dr. Rahman mentored more than 20 Master’s and 10 Ph.D. students for their research projects, and led the implementation of more than $3M NSF-funded projects. After that, Dr. Rahman joined Tuskegee University, AL, USA as an assistant professor of mechanical engineering, and taught several courses to undergraduate students, supervised undergraduate research, and secured research grant from an external agency as the principal investigator. Dr. Rahman has published more than 100 papers in different renowned journals, conference proceedings, and books that received about 600 citations.

  • Danilo Pelusi:Associate professor of computer science at the Faculty of Communication Sciences, University of Teramo, Italy.

    Research field:coding theory; artificial intelligence; signal processing; patterns recognition; fuzzy logic; neural networks; genetic algorithms.

    Danilo Pelusi received the Ph.D. degree in Computational Astrophysics from the University of Teramo, Italy. He is an Associate Professor at the Department of Communication Sciences, University of Teramo. Co-editor of books in Springer and Elsevier, he is/was an Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access and International Journal of Machine Learning and Cybernetics. Guest editor for Elsevier, Springer and Inderscience journals and keynote speaker in several conference, he belongs to the editorial board member of many journals. Reviewer of reputed journals such as IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks and Machine Leaning, his research interests include Fuzzy Logic, Neural Networks, Information Theory, Machine Learning and Evolutionary Algorithms.

  • Yudong Zhang:Professor of Department of Informatics, University of Leicester, UK.

    Research field:Artificial intelligence; Deep learning; Computer Vision; Pattern recognition; Computer-aided medical diagnosis; Medical image processing; Biomedical engineering; Graph Neural Network; Internet of Things; Optimization.

    Prof. Yu-Dong Zhang (M’08, SM’15) received his BE in Information Sciences in 2004, and MPhil in Communication and Information Engineering in 2007, from Nanjing University of Aeronautics and Astronautics. He received the PhD degree in Signal and Information Processing from Southeast University in 2010. He worked as a postdoc from 2010 to 2012 with Columbia University, USA; and as an assistant research scientist from 2012 to 2013 with Research Foundation of Mental Hygiene (RFMH), USA. He served as a Full Professor from 2013 to 2017 with Nanjing Normal University, where he was the director and founder of Advanced Medical Image Processing Group in NJNU. Now he serves as Professor with Department of Informatics, University of Leicester, UK. He is the editor of Neural Networks, Scientific Reports, IEEE Transactions on Circuits and Systems for Video Technology, etc. He served as the (leading) guest editor of Neural Networks, IEEE Transactions on Intelligent Transportation Systems, etc. Prof. Zhang is the Fellow of IET (FIET), and the senior members of IEEE and ACM. He was included in “Most Cited Chinese researchers (Computer Science)” by Elsevier from 2014 to 2018. He was the 2019 recipient of “Highly Cited Researcher” by Web of Science. He won “Emerald Citation of Excellence 2017” and “MDPI Top 10 Most Cited Papers 2015”. He was included in "Top Scientist" in Guide2Research. He is the author of over 200 peer-reviewed articles, including 16 “ESI Highly Cited Papers”, and 2 “ESI Hot Papers”. His citation reached 11194 in Google Scholar, and 6811 in Web of Science. He has conducted many successful industrial projects and academic grants from NSFC, NIH, Royal Society, EPSRC, MRC, and British Council.

  • Danilo Avola:Professor of Sapienza University of Rome, Rome.

    Research field:Computer Vision; Image/Video Processing; Human Computer Interaction; Wi-Fi Signal Processing; EGG Signal Processing; Machine/Deep Learning; Multimodal Systems; Pattern Recognition; Affect Recognition; etc.

    Danilo Avola earned the M.Sc. degree in Computer Science from Sapienza University, Rome, Italy, in 2002 and the Ph.D. degree in Molecular and Ultrastructural Imaging from University of L'Aquila, L'Aquila, Italy, in 2014. Since 2021 he is Assistant Professor at the Department of Computer Science, Sapienza University, Rome, Italy, in addition he is director of the Robotics Vision and Artificial Intelligence Laboratory (TITAN Lab) and co-director of the Computer Vison Laboratory (VisionLab) at the same University. Since 2018 Danilo Avola is also R&D Senior Engineer at the W•SENSE s.r.l. a spin-off of the Sapienza University, Rome, Italy. Previously, he was postdoc researcher at the Department of Mathematics, Computer Science and Physics (DMIF), University of Udine, Udine, Italy, and R&D Senior Engineer at the Artificial Vision and Real-Time Systems (AVIRES) Lab at the same University. Earlier, he was R&D Senior Engineer at the Department of Computer Science, Sapienza University, Rome, Italy, and Supervisor of the Computer Vison Laboratory (VisionLab) at the same University; and he was R&D Senior Engineer at the Multimodal & Multimedia (M&M) Lab of the National Research Council, Rome, Italy. Since 2011, Danilo Avola is member of IAPR, CVPL, and IEEE.