Prof. Dr. Erik Meijering
University of New South Wales (UNSW)
Title of Speech ： Artificial Intelligence in Biomedical Image Analysis
Professor Erik Meijering leads the Computer Vision Group in the School of Computer Science and Engineering at the University of New South Wales (UNSW), Sydney, Australia. He has >20 years of experience in developing advanced computational methods and tools for efficient and reliable quantitative analysis of biomedical imaging data. These methods are increasingly based on artificial intelligence approaches involving machine and deep learning. He is a Fellow of the IEEE since 2019. Before moving to UNSW in 2019, he worked in various engineering institutes and university medical centers across Europe, including Delft University of Technology (as an MSc student) and Utrecht University (as a PhD student) in the Netherlands, the Swiss Federal Institute of Technology in Lausanne (as a Postdoc), and Erasmus University Medical Center in the Netherlands (as an Assistant Professor and later Associate Professor). He is a multidisciplinary scientist-engineer with a passion to translate computer science theories and mathematical concepts into powerful algorithms for the advancement of medicine and biology. Over the years his group has developed advanced solutions for image restoration, super-resolution, registration, object detection, segmentation, quantification, classification, and tracking, and has produced various image analysis software tools used by thousands worldwide. In addition to his academic work, he was/is active internationally as a member of the IEEE Signal Processing Society Technical Committee on Bio Imaging and Signal Processing (BISP, 2005-2010, 2016-2020, Chair 2018-2019), the IEEE Engineering in Medicine and Biology Society Technical Committee on Biomedical Imaging and Image Processing (BIIP, since 2007), and the cross-Society IEEE Life Sciences Technical Community (LSTC, 2018-2020). He was/is an Associate Editor for the IEEE Transactions on Medical Imaging (since 2004), Biological Imaging (since 2020), International Journal on Biomedical Imaging (2006-2009), and IEEE Transactions on Image Processing (2008-2011), and has co-edited various journal special issues, including for the IEEE Transactions on Image Processing (2005) and the IEEE Signal Processing Magazine (2015, 2022). Also, he has co-organized three international benchmarking competitions (Particle Tracking Challenge 2012, Cell Tracking Challenge since 2013, BigNeuron Project since 2015), and various conferences in the field, most notably the IEEE International Symposium on Biomedical Imaging (ISBI, especially 2006, 2010, 2018 as Technical Program Chair) and the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2020 as Workshops Chair), and served/serves on a great variety of other conference, advisory, and review boards.
Prof. Dr. Haibin Zhu
Collaborative Systems Laboratory (CoSys Lab), Nipissing University
Title of Speech ： Computational Social Simulation using E-CARGO
Dr. Haibin Zhu is a Full Professor and the Coordinator of the Computer Science Program, the Founding Director of the Collaborative Systems Laboratory, a member of Arts and Science Executive Committee, Nipissing University, Canada. He is an affiliate professor of Concordia Univ. and an adjunct professor of Laurentian Univ., Canada. He received a BSc degree in computer engineering from the Institute of Engineering and Technology, China (1983), and MSc (1988) and PhD (1997) degrees in computer science from the National Univ. of Defense Tech. (NUDT), China. He was the chair of the Department of Computer Science and Mathematics, Nipissing University, Canada (2019-2021), a visiting professor and special lecturer in the College of Computing Sciences, New Jersey Institute of Technology, USA (1999-2002) and a lecturer, an associate professor and a full professor at NUDT (1988-2000). He has accomplished (published or in press) over 230+ research works including 40+ IEEE Transactions articles, six books, five book chapters, four journal issues, and four conference proceedings. He is a fellow of I2CICC (International Institute of Cognitive Informatics and Cognitive Computing), a senior member of IEEE, a senior member of ACM, a full member of Sigma Xi, and a life member of CAST-USA (Chinese Association of Science and Technology, USA).
He is serving as Vice President, Systems Science and Engineering (SSE) (2023-), a member-at-large of the Board of Governors (2022-), and a co-chair (2006-) of the technical committee of Distributed Intelligent Systems of IEEE Systems, Man and Cybernetics (SMC) Society (SMCS), Editor-in-Chief of IEEE SMC Magazine (2022), Associate Editor (AE) of IEEE Transactions on SMC: Systems (2018-), IEEE Transactions on Computational Social Systems(2018-), Frontiers of Computer Science (2021-), and IEEE Canada Review (2017-). He was AE of IEEE SMC Magazine (2018-2021), Associate Vice President (AVP), SSE (2021), IEEE SMCS, a Conference (Co-)Chair and Program (Co-)Chair for many international conferences, and a PC member for 140+ academic conferences.
He is the founding researcher of Role-Based Collaboration and the creator of the E-CARGO model. His research monograph E-CARGO and Role-Based Collaboration can be found https://www.amazon.com/CARGO-Role-Based-Collaboration-Modeling-Problems/dp/1119693063. The accompanying codes can be downloaded from GitHub: https://github.com/haibinnipissing/E-CARGO-Codes. He has offered 20+ keynote and plenary speeches for international conferences and 90+ invited talks internationally. His research has been being sponsored by NSERC, IBM, DNDC, DRDC, and OPIC.
He is the recipient of the best paper award in international collaboration from the 25th Int’l conf. on Computer-Supported Cooperative Work in Design, Hangzhou, China, 2022, the meritorious service award from IEEE SMC Society (2018), the chancellor’s award for excellence in research (2011) and two research achievement awards from Nipissing University (2006, 2012), the IBM Eclipse Innovation Grant Awards (2004, 2005), the Best Paper Award from the 11th ISPE Int’l Conf. on Concurrent Engineering (ISPE/CE2004), the Educator’s Fellowship of OOPSLA’03, a 2nd class National Award for Education Achievement (1997), and three 1st Class Ministerial Research Achievement Awards from China (1997, 1994, and 1991).
His research interests include Collaboration Systems, Human-Machine Systems, Computational Social Systems, Collective Intelligence, Multi-Agent Systems, Software Engineering, and Distributed Intelligent Systems.
Prof. Sergei Gorlatch
University of Muenster, Germany
Title of Speech ：Future Applications Based on Mobile Cloud and Software-Defined Networks
Prof. Sergei Gorlatch is Full Professor of Computer Science at the University of Muenster (Germany) since 2003. Earlier he was Associate Professor at the Technical University of Berlin, Assistant Professor at the University of Passau, and Humboldt Research Fellow at the Technical University of Munich, all in Germany. Prof. Gorlatch has more than 200 peer-reviewed publications in renowned international books, journals and conferences. He was principal investigator in several international research and development projects in the field of software for parallel, distributed, Grid and Cloud systems and networking, funded by the European Commission and by German national bodies.
Prof. Rossitza Setchi
Title of Speech ：Human-like AI
Prof. Rossitza Setchi (FIET, FIMechE, FBCS, SMIEEE ) is Fellow of the Learned Society of Wales, Professor in High-Value Manufacturing and Director of the Research Centre in AI, Robotics and Human-Machine Systems (IROHMS) at Cardiff University. She has a track record of research in AI, robotics, industrial sustainability, manufacturing and Industry 4.0, and, in particular, has built an international reputation for excellence in knowledge-driven symbolic AI, computational semantics and human-machine systems. Her track record includes over 260 peer reviewed publications, external grant support totalling more than £25 million and the supervision of more than 30 PhD students. She has collaborated with over 50 universities and 30 industrial companies from more than 20 countries in Europe, Asia and Australia. She has provided research leadership on over 30 collaborative projects funded by UK and overseas funding bodies, including the Royal Society, Royal Academy of Engineering, EPSRC and the European Commission.
Prof. Muazzam Ali Khan Khattak
Quaid-i-Azam University, Islamabad.
Title of Speech ：Artificial Intelligence in Education: Challenges and Opportunities
Prof. Muazzam Ali Khan Khattak is currently serving as Director Science & Technology
as well Director ICESCO Chair Data Analytics and Edge Computing at Quaid-i-Azam
University, Islamabad. Beside that he is also adjunct Professor at School of Computing and
Engineering, University of Missouri, KC, USA.
He is an outstanding faculty member of computer science department and have made significant contributions in research and designing advance computing courses on most modern lines for the syllabi of PhD, Master’s and Bachelor in Computer Science programs at Higher Education Commission Pakistan, National University of Sciences & Technology, Islamabad, (NUST), Department of Computing, NUST SEECS, NUST College of Electrical & Mechanical Engineering (CEME) and Department of Computer Science, Abdul Wali Khan University, Mardan. Currently his personal endeavors have been vitally instrumental in transforming department of computer science into a regional center of excellence to offer state-of-the-art indigenous research and academic services to the nation.
Earlier Dr. Khattak served as Associate Dean of Computing Department at NUST School of Electrical Engineering and Computer Science (SEECS) 2017-2020, Post graduate Head, Department of Computer Engineering, NUST CEME 2013-2016 and Chair Department of Computer Science, AWKU, Mardan 2012-2013. During his tenure as Associate Dean Computing (S-HoD), NUST, the computer science program attained the top position at national level and 138th position at international level.
Dr. Khattak started new degree programs of MS and PhD in Data Science, Artificial intelligence and machine learning. He also played a vital role in establishment of Computer Science Department at NUST Quetta Campus and at AWK University Mardan. Dr. Khattak contributed and also led cutting edge scientific research projects imbued with sound potential for national progress. He is credited with establishing research collaboration with many international universities such as School of Computing & Electrical Engineering (SCE), University of Missouri, Kansas City (UMKC), USA, Institute of Distributed Systems, University of Ulm, Germany, Kansas State University, Kansas USA, The Korea Advanced Institute of Science and Technology (KAIST), Korea, Linnaeus University (LNU), Sweden and Kazakh British Technical University, Kazakhstan. He carried out his PhD research and Postdoc Research Fellowship at University of Missouri Kansas City (UMKC), USA and International Islamic University, Islamabad. Despite his involvement in multiple professional and administrative activities he has copiously contributed to prestigious scientific journals, seminars/conferences both at national/international levels, and has 210 research papers with more than 420+ Impact factor and book chapters to his credit having 3400+ citations. He also organized many international Conferences such as C-CODE-2017, HONET-ICT 2018, CCODE 2019, HONET-ICT 2019, HONET-ICT 2020, HONET-ICT 2021 and HONET-ICT 2022. Apart from being a Senior Member of IEEE, Senior Member Pakistan Academy of Sciences he is also senior member of National Computing Education Accreditation Council (NCEAC), member of HEC Accreditation & Attestation Division for Computing Programs. He is also a technical reviewer of more than 40 national and international conferences and journals. He has been awarded grant of 25 Million by ICESCO and 06 Million by Huawei International for establishment of Huawei Academy at Quaid-i-Azam University, Islamabad.
Dr. Narendra D. Londhe
National Institute of Technology Raipur, Chhattisgarh INDIA
Title of Speech ：Devanagari Script based P300 Speller using Brain Computer Interface
Dr Narendra D. Londhe is presently working as Associate Professor in the Department of Electrical Engineering of National Institute of Technology Raipur, Chhattisgarh INDIA. He completed his B.E. from Amravati University in 2000 followed by MTech and Ph.D. from Indian Institute of Technology Roorkee in the year 2006 and 2011 respectively. He has 14 years of rich experience in academics and research. He has published more than 150 articles in recognized journals, conferences, and books. His main areas of research include Medical Signal and Image Processing, Biomedical Instrumentation, Speech Signal Processing, Biometrics, Intelligent Healthcare, Brain Computer Interface, Artificial Intelligence and Pattern Recognition. He has been awarded by organizations like Taiwan Society of Ultrasound in Medicine, Ultrasonics Society of India, and NIT Raipur. He is an active member of different recognized societies from his areas of research including senior membership of IEEE.
Prof. Sudan Jha
Department of Computer Science & Engineering, Kathmandu University, Nepal
Title of Speech ：Deep Learning-Based Image Classification for IoT Enabled UAVs in Remote Sensing Applications
Prof. Dr. Sudan Jha With a total 22+ years of teaching, research and industrial experience, Prof. Sudan Jha is a Senior IEEE member; ACM member, Editor-in-Chief, International book series editor, acclaimed Principal Scientist, International Keynote Speaker. He has delivered a number of Keynote Speeches / expert talks around the world. Presently working as a Professor in Department of Computer Science & Engineering, Kathmandu University, Nepal; bears experiences from top notch universities like KIIT University, Chandigarh University, Christ University, etc. Apart from these, he has working experiences as ‘technical director in Nepal television’, ‘Principal in Nepal College of IT’, ‘Individual Consultant in Nepal Telecom Authority’. He is passionate about quality of higher education and is working extensively on smart platforms.
-80+ accepted and published research papers, book chapters in reputed SCI, SCIE, indexed refereed journals and conferences.
-Editor-in-Chief in an international journal; Guest Editors in SCIE/ESCI/SCOPUS indexed journals. Three patents in his name.
-Authored / edited 5 books for recent advanced topics in IoT, 5G, AI for the publishers - Elsevier, CRC and AAP.
Accomplished two international funded projects.
In addition, he has been resource person in several national / international faculty development programs and Short term training programs for faculties and students. Guest Editor in several SCIE and ESCI journals, reviewer/TPC member in various conferences and journals.
He is also an IBM certified Engineer on “Microservices Architecture And Implementation”; Certified Data Scientist with proficiency in Python; NASSCOM and Ministry of Electronics and Information Technology, Govt. of India certified “Machine Learning - Linear Regression”, Certified in “Foundations of Artificial Intelligence” by SkillsUp.
His research area of interest includes Internet of Things, Artificial Intelligence, Machine Learning (Deep Learning), Neutrosophic theory and Neutrosophic Soft Set Systems.
Prof. Giancarlo Guizzardi
Cybersecurity & Services (SCS) at the University of Twente
Title of Speech ：Semantic Models for Trustworthy Systems: A Hybrid Intelligence Augmentation Programs
Prof. Giancarlo Guizzardi is a Full Professor of Software Science and Evolution as well as Chair and Department Head of Semantics, Cybersecurity & Services (SCS) at the University of Twente, The Netherlands. He is also an Affiliated/Guest Professor at the Department of Computer and Systems Sciences (DSV) at Stockholm University, in Sweden. He has been active for nearly three decades in the areas of Formal and Applied Ontology, Conceptual Modelling, Enterprise Computing and Information Systems Engineering, working with a multi-disciplinary approach in Computer Science that aggregates results from Philosophy, Cognitive Science, Logics and Linguistics. He is the main contributor to the Unified Foundational Ontology (UFO) and to the OntoUML modeling language. Over the years, he has delivered keynote speeches in several key international conferences in these fields (e.g., ER, CAiSE, BPM, IEEE ICSC). He is currently an associate editor of a number of journals including Applied Ontology and Data & Knowledge Engineering, a co-editor of the Lecture Notes in Business Information Processing series, and a member of several international journal editorial boards. He is also a member of the Steering Committees of ER, EDOC, and IEEE CBI, and of the Advisory Board of the International Association for Ontology and its Applications (IAOA). Finally, he has recently been inducted as an ER fellow.
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