The 3rd International Conference on Electronic Information Technology (EIT 2024)

Speakers

SPEAKERS


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Prof. Cheng Deng

Xidian University, China

Biography:

Professor Cheng Deng, a second-level professor and PhD supervisor, is recognized as a national talent and is in charge of a provincial-level technological innovation team. He is also a provincial teaching master and an exemplar of teacher ethics in the province. He heads the Cognitive Computing and Interactive Systems Laboratory at Xidian University. He has led over 30 national and provincial-level research projects. Over the past five years, he has published more than 150 papers in top international journals and at CCF A-conference venues such as ICML, NeurIPS, ICLR, KDD, CVPR, ICCV, AAAI, and IJCAI. His work has been cited over 10,000 times on Google Scholar. From 2021 to 2023, he was consecutively listed among China's Highly Cited Researchers and was included in the 2022 global top 2% scientist list. His research achievements have earned him one National Natural Science Award (Second Prize) and four First Prizes in the Shaanxi Provincial Science and Technology Awards.

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Prof. Yang Yang

IEEE Fellow

The Hong Kong University of Science and Technology (Guangzhou)

Biography:

Professor Yang Yang currently serves as the Associate Vice President (Education), Acting Dean of the School of Educational Science, Professor of the Internet of Things Thrust, and Director of the HKUST(GZ)-Terminous Joint Research Center for "Digital World" at Hong Kong University of Science and Technology (Guangzhou). His research areas include the intelligent Internet of Things, multi-level computing networks, and 5G/6G mobile communication systems. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). He has served as an expert for the overall team of the National Major Science and Technology Project “Next-Generation Broadband Wireless Mobile Communication Networks,” an expert for the Ministry of Science and Technology’s major project “Pre-research for the Fifth-generation Mobile Communication System,” a member of the board of directors and Greater China director of the International Fog Computing Industry–Academic–Research Alliance, and the chair of the steering committee of the Asia-Pacific Conference on Communications. From 2008 to 2010, he collaborated with Airbus and Rolls-Royce in the UK, pioneering the application of IoT technology in the aviation field. From 2012 to 2016, his research team on "Broadband Wireless Sensor Networks" was selected for the Ministry of Science and Technology’s Innovative Talent Promotion Program. They assisted the State Council's South-to-North Water Diversion Office in the comprehensive planning and construction of the IoT monitoring and management system for the middle route project of the South-to-North Water Diversion, which stretches 1,432 kilometers, the longest in the world. From 2020 to 2023, he led the national key R&D project "Construction and Demonstration of 5G Ubiquitous IoT Infrastructure for the Guangdong-Hong Kong-Macao Greater Bay Area Smart City Cluster."


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Prof. Shuwen Xu

IEEE Senior Member

Xidian University, China


Biography:

Shuwen Xu (IEEE Senior Member) was born in Huangshan city in Anhui, China. He received the B.Eng. and Ph.D. degrees, both in electronic engineering, from Xidian University, Xi’an, China, in 2006 and 2011, respectively. He worked at the National Laboratory of Radar Signal Processing, Xidian University, after that. He worked as a visiting professor in Mcmaster University in 2017 and 2018, Canada. He is currently a professor with the National Laboratory of Radar Signal Processing, Xidian University. He is also the vice director of National Collaborative Innovation Center of Information Sensing and Understanding and the Director of radar signal processing and data processing Department. His research interests are in the fields of radar target detection, statistical Learning, and SAR image processing.

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Prof. Qingsheng Zeng

IEEE Senior Member

 Institut National de la Recherche Scientifique, Canada

Biography: 

Qingsheng Zeng received his Ph.D. from University of Ottawa, Canada, and is currently an adjunct professor and PhD advisor of University of Ottawa, Carleton University, Université du Québec an Outaouais (UQO), and Institut National de la Recherche Scientifique -- Centre Energie, Matériaux et Télécommunications (INRS-EMT). He has been a research engineer and a senior research engineer at Communications Research Centre Canada (CRC), Government of Canada. Dr. Zeng has undertaken research and teaching in several fields, including analysis and design of aircraft antennas, electromagnetic compatibility and interference (EMC/EMI), ultrawideband technology, radio wave propagation, computational electromagnetics. He has been the Chair of AP (Antennas and Propagation) / MTT (Microwave Theory and Techniques) Joint Chapter and Secretary of EMC (Electromagnetic Compatibility) Chapter of IEEE Ottawa, a Member of IEEE Canada Industry Relations Committee, and a senior member of IEEE. He has published more than 200 SCI and EI indexed papers and technical reports, authored one book and co-authored two book chapters. His work on the project “Aggregate Interference Analysis and Suitability of Some Propagation Models to Ultra-wideband Emissions in Outdoor Environments” has formed one part of Consultation Paper on the Introduction of Wireless Systems Using Ultra Wideband Technology, Spectrum Management and Telecommunications Policy, Industry Canada, and has been taken as a significant contribution to International Telecommunication Union (ITU). 


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Prof. Bing Shi

IEEE Member

Wuhan University of Technology, China


Biography:

Bing Shi, Ph.D., Professor, Ph.D. Supervisor, Vice Dean of the School of Computer Science. He gained his undergraduate and master's degrees from the Department of Computer Science and Technology of Nanjing University. His PhD is from the School of Electronics and Computing, University of Southampton, UK. Dr. Bing Shi is a member of the Institute of Electrical and Electronics Engineers (IEEE), the International Association of Computing Machinery (ACM), and the China Computer Federation (CCF). He is mainly engaged in the research of Artificial Intelligence and Multi-Intelligent Body Systems, and has presided over a number of national and Ministry of Education scientific research projects, and has published more than 40 papers in the conferences and journals recommended by the China Computer Federation (CCF).

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Associate Professor Deepika Koundal

IEEE Senior Member

University of Petroleum & Energy Studies, India

Biography:

Deepika Koundal is currently associated with University of Petroleum and Energy Studies, Dehradun. She received the recognition and honorary membership from Neutrosophic Science Association from University of Mexico, USA. She is also selected as a Young scientist in 6th BRICS Conclave in 2021. She has also recieved the best paper award 2023 from JVCI-elsevier. She received the Master and Ph.D. degrees in computer science & engineering from the Panjab University, Chandigarh in 2015. She received the B. Tech. degree in computer science & engineering from Kurkushetra University, India. She is the awardee of research excellence award given by UPES in 2023 & 2022 and by Chitkara University in 2019. She has published more than 100 research articles in reputed SCI and Scopus indexed journals, conferences and three books. She served as a guest editor in Computers & Electrical Engineering, Internet of Things Journals and IEEE Transaction of Industrial Informatics, Computational and Mathematical Methods in Medicine. She is also serving as Associate Editor in IEEE Transactions in Artificial Intelligence, Healthcare Analytics, Supply chain Management and International Journal of Computer Applications. She also has served on many technical program committees as well as organizing committees and invited to give guest lectures and tutorials in Faculty development programs, international conferences and summer schools. Her Areas of Interest are Artificial Intelligence, Biomedical Imaging and Signals, Image Processing, Soft Computing, Machine Learning/ Deep Learning. She has also served as reviewer in many repudiated journals of IEEE, Springer, Elsevier, IET, Hindawi, Wiley and Sage.