2024 International Academic Conference on Intelligent Manufacturing and Human-Computer Interaction (IMHCI 2024)
Biography:
Professor Erik Cambria is the Founder of SenticNet, a Singapore-based company offering B2B sentiment analysis services, and a Professor at Nanyang Technological University, where he also holds the appointment of Provost Chair in Computer Science and Engineering. Prior to joining NTU, he worked at Microsoft Research Asia (Beijing) and HP Labs India (Bangalore) and earned his PhD through a joint program between the University of Stirling and MIT Media Lab. His research focuses on neurosymbolic AI for explainable natural language processing in domains like sentiment analysis, dialogue systems, and financial forecasting. He is the recipient of several awards, e.g., the IEEE Outstanding Career Award, was listed among the AI's 10 to Watch, and was featured in Forbes as one of the 5 People Building Our AI Future.
He is an IEEE Fellow, and Associate Editor of many top-tier AI journals, e.g., Information Fusion and IEEE Transactions on Affective Computing, and is involved in various international conferences as a keynote speaker, program chair, and senior program committee member. His research interest is neuro symbolic AI sentic computing, sentiment analysis, commonsense reasoning, and natural language understanding. He won the Recipient of several awards, e.g., the IEEE Outstanding Career Award, was listed among the AI's 10 to Watch, and was featured in Forbes as one of the 5 People Building Our AI Future.
General Chair
Prof. Erik Cambria
Nanyang Technological University,Singapore
IEEE Fellow
Prof. Jiliang Zhang
Technical Program Chair
Biography:
Professor Zhang is a doctoral supervisor in the College of Information Science and Engineering. He received a Ph.D. degree in the School of Electronics and Information Engineering from Harbin Institute of Technology.
He leads the project "AceLSAA: Optimal Design of Admixtures for Concrete Embedded Large Scale Antenna Array", which is the EU Marie Curie Scholars Talent Program. He is an IEEE senior member.
Based on the above work, "Fundamental wireless performance of a building", the first review paper on the wireless friendliness of buildings published by the first author, was published by IEEE Wireless Commun. Mag. (impact Factor 12.777) was selected as the most popular article from April to May in 2022 and ranked first in May and June 2022. The industry's first paper on the wireless-friendly evaluation of built-in antenna building materials, "Wireless performance evaluation of building materials integrated with antenna arrays", published by communication authors, has been IEEE Commun. Lett. (impact factor 3.553) was selected as the most popular article in May and June 2022. He has been selected as a national youth talent project and has presided over several scientific research projects, such as the sub-projects of the national key R & D plan and the youth fund of the National Natural Science Foundation of China. He serves on the editorial board of CCF-C periodicals Wireless Communications and Mobile Computing.
Northeastern University, China
Prof. Xinmin Zhang
Zhejiang University, China
Biography:
Xinmin Zhang is a Professor with the State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, China. He received the Ph.D. degree in System Science from Kyoto University, Japan, in 2019. From April 2019 to December 2019, he was a Postdoctoral Research Fellow in the Department of Systems Science, Kyoto University, Japan. From 2020 to 2023, he was an Associate Professor at the College of Control Science and Engineering, Zhejiang University, China. He has published more than 60 technical papers in peer-refereed journals and prestigious conference proceedings, including IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Artificial Intelligence、IEEE Transactions on Industrial Informatics、Engineering Applications of Artificial Intelligence、Science China Information Sciences. He has received several research projects, including Scientific and Technological Innovation 2030 - "New Generation Artificial Intelligence", National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province, and University-enterprise cooperation projects. He has been invited as a speaker and TPC member for several international conferences. His research interests include Industrial Artificial Intelligence, Industrial Big Data, Fault Diagnosis, Virtual Sensing Technology/Soft-sensor, Machine Learning, Reinforcement Learning, and Deep Learning with applications to industrial processes.
Prof. Liming Zhou
Biography:
Professor Zhou is a doctoral supervisor in the School of Mechanical and Aerospace Engineering. He received a Ph.D. degree in the School of Solid Mechanics from Jilin University.
He is the reviewer of the Journal of Northwest University of Technology, Journal of Hunan University, Journal of Northeast University Natural Science Edition, Quarterly Journal of Mechanics, Journal of Applied Mechanics, etc.
Mainly engaged in the research of computational solid mechanics, the force-thermal-electric-magnetic multi-physical field coupled smooth finite element method is proposed, which solves the problem of low precision of magnetoelectric elastic composite finite element method. All kinds of smooth finite element programs based on the MATLAB platform have been independently developed and recognized by their peers. At the same time, he is researching micro-nano mechanical mechanics, multi-scale composite materials, mechanical testing, and calculation methods of mechanical structures.
He is currently a member of the Mechanics Teaching Committee of China Machinery Industry Education Association, and has won the first prize for free design of self-made experimental teaching instruments and equipment innovation competition for teachers in colleges and universities.
Jilin University, China
Prof. Bo Xu
Harbin Engineering University, China
Biography:
Professor Xu is a doctoral supervisor in the School of Intelligent Science and Engineering. He received a Ph.D. degree in the School of Solid Mechanics from Jilin University.
He is the reviewer of the Journal of Northwest University of Technology, Journal of Hunan University, Journal of Northeast University Natural Science Edition, Quarterly Journal of Mechanics, Journal of Applied Mechanics, etc.
Mainly engaged in the research of computational solid mechanics, the force-thermal-electric-magnetic multi-physical field coupled smooth finite element method is proposed, which solves the problem of low precision of magnetoelectric elastic composite finite element method. All kinds of smooth finite element programs based on the MATLAB platform have been independently developed and recognized by their peers. At the same time, he is researching micro-nano mechanical mechanics, multi-scale composite materials, mechanical testing, and calculation methods of mechanical structures.
He is currently a member of the Mechanics Teaching Committee of China Machinery Industry Education Association, and has won the first prize for free design of self-made experimental teaching instruments and equipment innovation competition for teachers in colleges and universities.
Assoc. Prof. Gang Liu
Harbin Engineering University, China
Biography:
Professor Liu is a doctoral advisor in the School of Information and Control Engineering. He received a Ph.D. degree in Control Theory and Control Engineering from Northeast University.
Professor Liu's work spans the domains of the New generation of artificial intelligence technology (deep-width neural network, countermeasure neural network, and transfer learning, etc.), Big data's Deep Analysis and Visualization Technology, Intelligent modeling, control and optimization of processes in the process industry and process monitoring and fault diagnosis, etc.
He won The CAA Science and Technology Progress Award in 2021 (ranked 2x13), the second prize in China Nonferrous Metals Industry Science and Technology (Technical Invention) in 2020 (ranked 1x6), the first Youth Science and Technology Award of Jiangsu Automation Society in 2023, the excellent thesis Award of CPCC Academician Zhang Zhongjun (ranking 1top 5), the first prize of National Education and Teaching Achievement Award in Coal Industry, etc.
He presided over 2 National Natural Science Foundation projects, 4 provincial and ministerial projects, presided over 1 industry-university collaborative education project of the Ministry of Education, and undertaken more than 10 enterprise technology commissioned projects.
Assoc. Prof. Rongsheng Li
Biography:
Li Rongsheng, Assistant Dean, College of Computer Science and Technology, Harbin Engineering University, Associate Professor, Master Supervisor, Deputy Director of Data Science Teaching and Research Center, Deputy Director of Heilongjiang Intelligent Media Lab. His research interests include artificial intelligence, deep learning, natural language processing, multimodal information processing, computer vision, etc. In recent years, he has presided over 8 scientific research projects such as the National Natural Science Foundation, the key research and development project of Heilongjiang Province, and the open fund of the Engineering Research Center of the Ministry of Education, and participated in a number of scientific research projects such as the National Engineering Laboratory and the China Academy of Astronautics. In the past three years, he has published 15 academic papers, all of which are SCI indexed and CCF recommended journal papers, including 6 TOP journal papers in the 1st district of the Chinese Academy of Sciences, 12 invention patents applied for, and 10 authorized patents. Served as a reviewer for many international well-known journal conferences such as ACL, EMNLP, NAACL, IPM, ESWA, TCSS, etc.
Harbin Engineering University, China
Publication Chair
Biography:
He received PhD in Materials Physics and Chemistry from Central South University. His appointment at Central South University is associate professor and postgraduate tutor. He leads the industry of computer engineering. Selected from the World Top 2% Scientists list. An IEEE member. Deputy Director of Hunan Engineering Research Center of New Generation Mobile Communication RF Inductive Components, Expert Member of Hunan Sensor Industry Promotion Association. He presided over the National Natural Science Foundation of China, the Equipment Pre-research Field Fund, the 173 Program sub-project, the Hunan Provincial Natural Science Foundation, and several horizontal projects, and participated in the "13th Five-Year Plan" National Key R&D Program, the "12th Five-Year Plan" National Defense 973 Program, and the major pre-research projects of the final assembly as a core scientific research member. The research papers have been published in Advanced Materials, Photonics Research, ACS Applied Materials & Interfaces, Composites Part A, Applied Physics Letters, Journal of the European Ceramic Society, Journal of Applied More than 50 international authoritative SCI journals such as Physics, Carbon, Ceramics International, etc., and 16 authorized invention patents (including 2 national defense invention patents). He won the second prize in Hunan Provincial Technological Invention Award. He undertook the undergraduate courses "Fundamentals of Microwave Technology" and "Sensor Technology and Application", and the postgraduate course "Physics in Functional Materials", and won the Teaching Quality Excellence Award of Central South University.
Assoc. Prof. Heng Luo
Central South University, China
Biography:
Changqin Cai is a third-grade Professor. She received PhD in the School of Engineering from Jilin University. Her appointment at Jilin Agriculture University is Professor and postgraduate tutor. She won the Innovative and Entrepreneurial Talents in Jilin Province. She is an Expert of outstanding contribution in Jilin Province.
Her work spans the domains of intelligent control, smart grid, smart building, and intelligent agriculture. With a focus on Circuit, Electrical Engineering, Programmable Controllers, and configuration Software.
Her works were published on SCI, e.g.Determining Strawberries’ Varying Maturity Levels by Utilizing Image Segmentation Methods of Improved DeepLabV3+.Agronomy 2022,08.