Brussels, Belgium

October 20-21, 2023

Yushi Shen
Academician, National Academy of Sciences of Georgia.
Research field:Cloud computing, big data, network security, video codec and wireless communication, new generation network computing system, etc.
Dr. Yushi Shen, Director of Intelligent Network Computing Laboratory of Tsinghua University, Secretary General of China Cloud System Industry Innovation Strategic Alliance, special expert of national "Thousand Talents Plan", special expert of Beijing "Sea Cluster Project", high-end leading talents of Zhongguancun, national "Thousand talents Plan" and "Ten thousand people Plan" review expert. Dr. Shen received his B.S. degree in electrical engineering from the Tsinghua University, Beijing, P. R. China, and Ph.D. degree in electrical and computer engineering, from the Univ. of California at San Diego (UCSD), La Jolla, and MBA degree from the Univ. of Washington (UW), Seattle.  In June 2023, Dr. Shen was elected as a foreign academician of the National Academy of Sciences of Georgia. He has nearly 20 years of research, development and management experience in the field of ICT. He is also an expert in cyberspace strategy, an internationally recognized expert in cloud computing, big data, cybersecurity, video codec and wireless communications, and has published five books and more than two dozen research papers. He has served as a reviewer, associate editor, and chair/member of technical project committees for numerous international conferences and core journals. He is the recipient of various awards and recognitions and has leadership experience in several influential international and local organizations.
Yu-Dong Zhang
Professor, University of Leicester, UK.
Research field:Deep learning and medical image analysis.
Prof. Yudong Zhang serves as a Chair Professor at the School of Computing and Mathematical Sciences, University of Leicester, UK. He is also Honorary Professor of universities in China, India, and Saudi Arabia. His research interests include deep learning and medical image analysis. He is the Honorary Fellow of World Leadership Academy, Fellow of IET, Fellow of EAI, and Fellow of BCS. He is the Senior Member of IEEE, IES, and ACM. He is the Distinguished Speaker of ACM. He was included in Most Cited Chinese Researchers (Computer Science) by Elsevier from 2014 to 2018. He was 2019, 2021 & 2022 recipient of Clarivate Highly Cited Researcher. He is included in World’s Top 2% Scientist by Stanford University from 2020 to 2022. He won the Emerald Citation of Excellence 2017, Springer Nature CNY2022, MDPI Top 10 Most Cited Papers 2015, Information Fusion 2022 Best Paper Award, etc. His three papers are included in UK Research Excellence Framework (REF) 2021. He has (co)authored over 400 peer-reviewed articles in the journals: Ann Oncol, JACC, JAMA Psychiatry, IJIM, Inf Fus, IEEE TFS, IEEE TII, IEEE TIP, IEEE TMI, IEEE IoTJ, Neural Networks, IEEE TITS, Pattern Recognition, IEEE TGRS, IEEE JBHI, IEEE TCSVT, IEEE TETCI, IEEE TCSS, IEEE JSTARS, IEEE TNSRE, IEEE SJ, IEEE OJCS, IEEE OJEMB, ACM TKDD, ACM TOMM, IEEE/ACM TCBB, IEEE TCAS-II, IEEE JTEHM, ACM TMIS, etc. There are more than 60 ESI Highly Cited Papers and 6 ESI Hot Papers in his (co)authored publications. His citation reached 27016 in Google Scholar (h-index 91) and 15630 in Web of Science (h-index 70). He is the editor of Neural Networks, IEEE TITS, IEEE TCSVT, IEEE JBHI, etc. He has conducted many successful academic grants and industrial projects, such as NIH, Royal Society, GCRF, EPSRC, MRC, BBSRC, Hope, British Council, Fight for Sight, and NSFC. He has given over 120 invited talks at famous universities and top conferences. He has served as (Co-)Chair for more than 60 international conferences and workshops (including more than 20 IEEE or ACM conferences). His research outputs have been reported by more than 50 news press, such as Reuters, BBC, Telegraph, Mirror, Physics World, UK Today News, EurekAlert! Science News, India Times, Association of Optometrists (AOP) news, Medical Xpress, etc.
Huiyu Zhou
Professor, University of Leicester, UK.
Research field:Machine learning, computer vision, intelligent systems and signal processing.

Dr. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 450 peer-reviewed papers in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", “MIUA 2020 Best Paper Award”, “ICPRAM 2016 Best Paper Award” and was nominated for “ICPRAM 2017 Best Student Paper Award” and "MBEC 2006 Nightingale Prize". His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Royal Society, Leverhulme Trust, Invest NI, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry.

Huiyan Huang
Founder & CEO, Morningsun Technology Group, Germany.
Research field:Semantic analysis, deep learning and large model techniques.
Huiyan Huang used to be the director of core algorithm research and development at Xtramind, a German artificial intelligence research center, and the American Attensity Group, a senior researcher at FIZ Karlsruhe at the Leibniz Institute in Germany, and the founder and algorithm expert of the well-known e-commerce Vipshop AI team. Huiyan Huang founded Morningsun Technology Group in 2020. She has an excellent team composed of top AI scientists from China and Germany. Using world-leading AI comprehensive solutions such as semantic analysis, deep learning and large model technology, it is a multilingual NLP technology+ The underlying technology company that AI empowers enterprise services. Morningsun Technology Group's multilingual intelligent analysis and generation platform can efficiently solve the pain points of enterprises, support full-mode application scenarios, create analytic multilingual intelligent services, and help global enterprises in their multilingual hyperautomation process.
Lizhuang Ma
Distinguished Professor, Shanghai Jiao Tong University; Distinguished Professor, East China Normal University; Deputy Dean, Artificial Intelligence Institute, Shanghai Jiao Tong University.
Research field:

Application of artificial intelligence technology, computer graphics image, computer vision, digital media.

Lizhuang Ma is a distinguished professor of Shanghai Jiao Tong University,  and East China Normal University, and deputy Dean of the Artificial Intelligence Institute of Shanghai Jiao Tong University. Director of China Society of Image and Graphics, Director of Chinese association for Artificial Intelligence Society, Deputy director of Intelligent Creative and Digital Art Committee. Professor Ma is the National Outstanding Youth Fund, Shanghai Science and Technology Progress Grand Prize (the first complete person), first prize, second prize, China Youth Science and Technology Award, the National Ministry of Education Science and Technology Progress second Prize; The first batch of candidates for the national "Ten million Talents Project" (national level); State Council special allowance recipients. Professor Ma has published more than 300 papers in important academic journals at home and abroad, and has achieved a series of innovative achievements in cross-media intelligent processing, human pose estimation, 3D scene analysis and understanding.
Simon X. Yang
Professor, University of Guelph, Canada.
Research field:Robotics, intelligent systems, control systems, sensors and multi-sensor fusion, wireless sensor networks, bio-inspired intelligence, neural networks, machine learning, fuzzy systems, evolutionary computation, intelligent communications, intelligent transportation, and computational neuroscience.

Simon X. Yang (Senior Member, IEEE) received the B.Sc. degree in engineering physics from Beijing University, Beijing, China, in 1987, the M.Sc. degree in biophysics from the Chinese Academy of Sciences, Beijing, in 1990, the M.Sc. degree in electrical engineering from the University of Houston, Houston, TX, USA, in 1996, and the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, AB, Canada, in 1999.,He is currently a Professor and the Head of the Advanced Robotics and Intelligent Systems Laboratory, University of Guelph, Guelph, ON, Canada. He has been very active in professional activities. His research interests include robotics, intelligent systems, sensors and multisensor fusion, wireless sensor networks, control systems, machine learning, fuzzy systems, and computational neuroscience.

GYU MYOUNG LEE
Professor, Liverpool John Moores University (LJMU), United Kingdom; Adjunct Professor, KAIST Institute for IT Convergence, Korea.
Research field:Internet of things, future networks, multimedia services, and energy saving technologies including smart grids.

GYU MYOUNG LEE (Senior Member, IEEE) received the BS degree from the Hong Ik University, Seoul, South Korea, in 1999, and the MS and PhD degrees from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2000 and 2007. He is with the Liverpool John Moores University (LJMU), United Kingdom, as reader from 2014 and with KAIST Institute for IT convergence, Korea, as adjunct professor from 2012. Prior to joining the LJMU, he has worked with the Institut Mines-Telecom, Telecom SudParis, France, from 2008. Until 2012, he had been invited to work with the Electronics and Telecommunications Research Institute (ETRI), Korea. He also worked as a research professor with KAIST, Korea and as a guest researcher with the National Institute of Standards and Technology (NIST), in 2007. His research interests include Internet of things, future networks, multimedia services, and energy saving technologies including smart grids. He has been actively working for standardization in ITU-T, IETF, and oneM2M, etc. In ITU-T, he currently serves as a WP chair in SG13, the Rapporteur of Q16/13 and Q4/20 as well as the chair of FG-DPM.

Dimitrios A. Karras
Professor, National and Kapodistrian University of Athens, Greece.
Research field:Intelligent and distributed systems, decision making systems, multiagent systems, pattern recognition and computational intelligence, image and signal processing and systems, biomedical systems, communications and networking, security.
Dr. Dimitrios A. Karras received the Diploma and M.Sc. degrees in electrical and electronic engineering and the Ph.D. degree (with honors) in electrical engineering from the National Technical University of Athens, Athens, Greece, in 1985 and 1995, respectively. Currently, Dr. Dimitrios A. Karras is a professor in Data and AI Science, Digital and autonomous Intelligent Systems with the National & Kapodistrian University of Athens, Greece, as well as adjunct Prof. Dr. with the GLA University, Mathura, India and EPOKA & CIT universities, Computer Engineering, Tirana. He has served in universities and research institutes for more than 25 years and published more than 75 refereed journal papers and more than 185 research papers in International refereed Conferences in the fields of intelligent and distributed/multi-agent systems, pattern recognition, image/signal processing and neural networks. He has served as program/general chair at several international conferences and, moreover as editor at several international journals in the fields of signal, image, communication and automation systems. He has been cited in more than 2500 research papers, being in the highest 10% of worldwide researchers.
Gian Luca Brunetti
Professor, the Polytechnic of Milan, Italy.
Research field:Building design, building optimization, meta modelling, design methods, bioclimatic design.

Gian Luca Brunetti graduated in Architecture at the Polytechnic University of Milan in 1991. From 1992 to 1995 he worked as an architectural designer in the architectural workshop of Marcello Pietrantoni in Milan. In 1995 he obtained a scholarship for a PhD research at the Polytechnic University of Milan. He defended his PhD thesis on thermal transition spaces in Architecture in April 1999 (supervisor: Prof. Bianca Bottero). In 1998 he became a graduate technician at the ABITA Laboratory, Polytechnic University of Milan, Department of Building, Environment and Sciences (BEST, now ABC). In 2006 he became a researcher of Architectural Technology at the Polytechnic University of Milan, Faculty of Architecture and Society. Since 2016 he is associate professor of Architectural Technology at the Polytechnic of Milan. In 2020 he has been habilitated to the full professorship in Italy, in the disciplinary sector of Building Technology.

Gautam Srivastava
Associate Professor, Brandon University, Canada.
Research field:Blockchain technology, cryptography, big data, data mining, social networks, security and privacy, anonymity, and graphs.

Gautam Srivastava (Senior Member, IEEE) received the B.Sc. degree from Briar Cliff University, USA, in 2004, and the M.Sc. and Ph.D. degrees from the University of Victoria, Victoria, BC, Canada, in 2006 and 2012, respectively. He taught for three years with the Department of Computer Science, University of Victoria, where he was regarded as one of the top undergraduate professors in computer science. In 2014, he will be joining a tenuretrack position with Brandon University, Brandon, MB, Canada, where he is currently active in various professional and scholarly activities. He was promoted to the rank of Associate Professor in January 2018. He is also active in research in the field of cryptography, data mining, security and privacy, and blockchain technology. In his five years as a research academic, he has published a total of 400 papers in high-impact conferences in many countries and high-status journals (SCI, SCIE) and has also delivered guest lectures on big data, cloud computing, the Internet of Things (IoT), and cryptography at many universities worldwide. He is an Editor of several SCI/SCIE journals (IEEE Transactions on Computational Social Systems, Information Sciences, AEJ, and ISA Transactions). He has active research projects with other academics in Taiwan, Singapore, Canada, Czech Republic, Poland, and the USA. He has an H-index of 50 which is strong for an early career researcher. He is currently a Guest Editor for IEEE Transactions on Fuzzy Systems and IEEE Transactions on Industrial Informatics. His research is funded by federal grants from the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Mathematics of Information Technology and Complex Systems (MITACS)

Md Abdus Samad KAMAL

Associate Professor, Gunma University, Japan.

Research field:Control systems, intelligent transportation systems (ITS), cooperative autonomous driving, mechtronics, sensors and artificial perception, artificial intelligence, machine Learning.

Md Abdus Samad KAMAL got his master and doctor degrees from Dept. of Electrical and Electronics Systems Engineering, Kyushu University, Japan in 2003 and 2006 respectively. And then he served as a researcher in Department of Electrical and Electronics Systems Engineering, Kyushu University, Japan. From 2019, he starts working in Division of Mechanical Science and Technology, Graduate School of Science and Technology, Gunma University, Japan as an associate professor. Now, he is a member of Chartered Engineer (C.Eng.), IET, UK, the Institution of Engineering and Technology (IET) and Institute of Electrical and Electronics Engineers (IEEE). In addition, he undertakes editors, gust editors for international journals, and has delivered keynote speeches for more than 15 conferences.

Hamid Doost Mohammadian
Professor, University of Applied Sciences (FHM), Germany.
Research field:Interdisciplinary studies.

Prof Dr Hamid Doost Mohammadian is Director for International Management at Fachhochschule des Mittelstands (FHM) Germany. At the same time, he is German Professor for international management, sustainability and future studies at FHM.
For 3 years he has been external lecturer at the TU-Campus EUREF at the TU Belin and guest professor at ICD Academy for Cultural Diplomacy in Berlin, external professor at World Executive Education Institute (WEEI) in USA, visiting professor at Technical & Vocational University (TVU), International University of Chabahar (IUC) and Industrial Management Institute (IMI) in Iran.
Prior to his academic life he worked as management consultant for SMEs and industrial sectors. He has published many articles, books, presentation, and special issues as well as conferences. He is member of editorial board at some high ranked international Journals in USA, Switzerland, India, UK, Pakistan, and Iran e.g.: SciencePG, DavidPublishing, SCIREA, MDPI, SRJ, DergiPark, CSR, Tadbir, IJBST, IMI and JMR.

Important Dates

  • Last date for full paper submission:

    July 31, 2023 September 15, 2023

  • Last date for paper acceptance:

    August 31, 2023 September 30, 2023

  • Last date for registration:
    October 10, 2023

  • Conference date:
    October 20-21, 2023

Contact Us

  • Conference Secretary: Dr. Anne Zhang

  • contact@icaiam.com