Prof. Dr. Nadeem MehmoodAssociate Professor, Chairman UBIT, University of Karachi, Pakistan
Speech Title: To be updated
Abstract: To be updated
Dr. Nadeem Mahmood is affiliated with the Department of Computer Science, University of Karachi as an Assistant Professor. He has been involved in teaching and research at graduate and post graduate level for the last sixteen years.
He completed one year Post-Doctoral research at Faculty of Information and Communication Technology, International Islamic University Malaysia. He has obtained his MCS and Ph.D. in Computer Science from University of Karachi in 1996 and 2010 respectively.
He served as a member of HEC National curriculum committee for software engineering in 2009 and is also working as member national standard committee for IT/ICT, PSQCA, Ministry of Science and Technology. He has published more than 30 research papers in international journals and conference proceedings (IEEE, ACM and WSEAS). He is working as technical and program committee member for different international journals and conferences. He is also a co-author of an international book published from Germany.
Prof. KC SantoshChair and Associate Professor
Department of Computer Science, University of South Dakota, USA
Speech Title: To be updated...
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Biography: Dr. Santosh is the Chair and Associate Professor of the Department of Computer Science (CS) at the University of South Dakota (USD). Dr. Santosh served School of Computing and IT, Taylor's University as a Visiting Associate Professor, for one year (2019/2020). Before joining USD, Dr. Santosh worked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). He worked as a postdoctoral research scientist at the LORIA research centre, Universite de Lorraine in direct collaboration with industrial partner ITESOFT, France. He also served as a research scientist at the INRIA Nancy Grand Est research centre, France, where, he has received his PhD diploma in Computer Science. Before that, he worked as a graduate research scholar at the SIIT, Thammasat University, Thailand. Dr. Santosh has demonstrated expertise in artificial intelligence, machine learning, pattern recognition, computer vision, image processing, data mining and big data with various application domains, such as healthcare informatics and medical imaging, document imaging, biometrics, forensics, speech analysis and Internet of Things. As of now (Aug. 2020), Dr. Santosh published more than 180 research works that include journal articles (70), conference proceedings (100+) and book chapters (11). He authored two books, and edited five books, 14 journal issues and six conference proceedings. Dr. Santosh serves as editor-in-chief for the International Journal of Signal and Image Processing and associate editor for multiple journals, such as the International Journal of Machine Learning & Cybernetics (Springer), Advances in Computational Intelligence (Springer), and IEEE Access. Dr. Santosh chaired more than 10 international conference events in the domain. His research projects are funded by multiple agencies, such as SDCRGP, Department of Education (DOE), National Science Foundation (NSF), and Asian Office of Aerospace Research and Development (AOARD). Dr. Santosh is the proud recipient of the President's Research Excellence Award (USD, 2019) and an award from the U.S. Department of Health & Human Services (2014).
Prof. Victor ChangTeesside University, United Kingdom
Speech Title: To be updated...
Abstract: To be updated...
Biography: Prof. Victor Chang is currently a Full Professor of Data Science and Information Systems at the School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, UK, since September 2019. He was a Senior Associate Professor, Director of Ph.D. (June 2016- May 2018) and Director of MRes (Sep 2017 - Feb 2019) at International Business School Suzhou (IBSS), Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China, between June 2016 and August 2019. He was also a very active and contributing key member at Research Institute of Big Data Analytics (RIBDA), XJTLU. He was an Honorary Associate Professor at University of Liverpool. Previously he was a Senior Lecturer at Leeds Beckett University, UK, between Sep 2012 and May 2016. Within 4 years, he completed Ph.D. (CS, Southampton) and PGCert (Higher Education, Fellow, Greenwich) while working for several projects at the same time. Before becoming an academic, he has achieved 97% on average in 27 IT certifications. He won a European Award on Cloud Migration in 2011, IEEE Outstanding Service Award in 2015, best papers in 2012, 2015 and 2018, the 2016 European special award and Outstanding Young Scientist 2017. He is a visiting scholar/Ph.D. examiner at several universities, an Editor-in-Chief of IJOCI & OJBD journals, former Editor of FGCS, Associate Editor of TII & Information Fusion, founding chair of two international workshops and founding Conference Chair of IoTBDS and COMPLEXIS since Year 2016. He is the founding Conference Chair for FEMIB since Year 2019. He published 3 books as sole authors and the editor of 2 books on Cloud Computing and related technologies. He gave 18 keynotes at international conferences. He is widely regarded as one of the most active and influential young scientist and expert in IoT/Data Science/Cloud/security/AI/IS, as he has experience to develop 10 different services for multiple disciplines.
Prof. Zhihan LvAssociate Professor
School of Data Science and Software Engineering, Qingdao University, China
Speech Title: An Optimized Byzantine Fault Tolerance Algorithm For Consortium Blockchain
Abstract: According to different application scenarios of blockchain system, it is generally divided into public chain, private chain and consortium chain. Consortium chain is a typical multi-center blockchain, because it has better landing, it is supported by more and more enterprises and governments. We analyze the advantages and problems of PBFT algorithm for the application scenarios of the consortium chain. In order to be more suitable for consortium chains, we propose a new optimized consensus algorithm based on PBFT. Aiming at the shortcomings of PBFT, such as the inability to dynamically join nodes, low multi-node consensus efficiency, and primary master node selection, our optimized algorithm has designed a hierarchical structure to increase scalability and improve consensus efficiency. The simulation results show that compared with PBFT and RAFT, our new consensus algorithm increases the data throughput while supporting more nodes, and effectively reducing the consensus delay and the number of communication times between nodes.
Biography: Dr. Zhihan Lv, ACM Distinguished Speaker, IEEE Senior Member and British Computer Society Fellow. He received joint PhD. degree from Ocean University of China and the University of Paris. He has served as a research engineer at the French National Research Center in France, a postdoctoral fellow at Umeå University in Sweden, a experienced researcher at the FIVAN Foundation in Spain, a postdoctoral fellow at University College London in UK, a postdoctor at the University of Barcelona in Spain, and an research assistant professor at the Chinese Academy of Sciences. He was a Marie Curie Fellow in European Union's Seventh Framework Program LANPERCEPT. He has published more than 270 high-quality papers in virtual reality, Internet of Things, big data and other fields, in which 43 papers were published in the top journal IEEE/ACM Transactions.
Research in recent years has been published in IEEE TII, IEEE TITS, IEEE TFS, IEEE TSMC, IEEE TETC, IEEE TBD, IEEE JSAC, IEEE JSTSP, IEEE IOTJ, IEEE COMMAG, IEEE Network, ACM TOMM, ACM TOIT, ACM TIST, and conferences such as ACM MM, ACM CHI, ACM Siggraph Asia, ICCV, IEEE Virtual Reality. Published more than ten highly cited papers and one hot paper.
He won the "Best idea" award in the UMINOVA academic business competition in Sweden, the grand prize in the "Challenge Cup" entrepreneurial plan competition in China, the "Chunhui Cup" award in the innovation and entrepreneurship competition for Chinese overseas students, the third prize in the China "Challenge Cup" extracurricular academic technology competition, the third prize of Shandong Province Graduate Student Outstanding Scientific and Technological Innovation Achievement Award, the third prize of Shandong Province Higher Education Institution Humanities and Social Science Outstanding Achievement Award, and the 2020 Qingdao University Outstanding Graduate Supervisor Award.
Dr. Zhihan Lv served as editorial board member of journals, including Plos one, IEEE Access, IET Image Processing, KSII Transactions on Internet and Information Systems, and Neurocomputing. Served as the Lead Guest Editor of several well-known journals, including IEEE Transactions on Industrial Informatics, IEEE Network, IEEE Transactions on Intelligent Transportation Systems, IEEE Sensors, IEEE Consumer Electronics Magazine, IEEE Communications Standards Magazine, IEEE Journal of Biomedical and Health Informatics, Future Generation Computer Systems, Neurocomputing and Applications, Neurocomputing, etc., organized more than 40 special issues. Served as the vice chair and TPC members of ACM IUI 2015-2021, IEEE INFOCOM 2020 workshop, ACM MobiCom 2020 workshop, IEEE VTC2017-Fall, IEEE CHASE Workshop 2016, 2017, IEEE/CIC WIN Workshop 2016, ISAIR2021. In 2018, he won the IEEE Access Outstanding Associate Editor Award.
Dr. Zhihan Lv has reviewed more than 260 manuscripts for high-level journals and conferences, including IEEE TMM, ACM TOMM, IEEE TII, IEEE TBD, IEEE TMC, IEEE TLT, IEEE TETC, IEEE TC, IEEE TVCG, IEEE TITS, IEEE/ACM TCBB, ACM TOIT, IEEE Network, IEEE MultiMedia, IEEE IOTJ and other journals and ACM MUM, ACM CHI, ACM DIS, IEEE EuroVis, ACM UIST, ACM MobileHCI, ACM CHIPLAY, ACM CSCW, ACM SUI, ACM ITS, IEEE VAST, IEEE VR, ACM IUI, IEEE 3DUI, ACM TVX, ACM Creativity & Cognition, ACM EICS, ACM IDC, IEEE ICSIPA, GI, IEEE ITSC, IEEE Sensors, ACM ACI, ACM VRST, ACM ISS, ACM HRI and other conferences. He is the reviewer of the Swiss National Natural Science Foundation.
Dr. Houbing SongElectrical Engineering and Computer Science, Embry-Riddle Aeronautical University, USA
Director, Security and Optimization for Networked Globe Laboratory, Embry-Riddle Aeronautical University, USA
Speech Title: To be updated
Abstract: To be updated
Biography: Houbing Song (M’12–SM’14) received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012, and the M.S. degree in civil engineering from the University of Texas, El Paso, TX, in December 2006.
In August 2017, he joined the Department of Electrical Engineering and Computer Science, Embry-Riddle Aeronautical University, Daytona Beach, FL, where he is currently an Assistant Professor and the Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us). He has served as an Associate Technical Editor for IEEE Communications Magazine (2017-present), an Associate Editor for IEEE Internet of Things Journal (2020-present) and IEEE Journal on Miniaturization for Air and Space Systems (J-MASS) (2020-present), and a Guest Editor for IEEE Journal on Selected Areas in Communications (J-SAC), IEEE Internet of Things Journal, IEEE Network, IEEE Transactions on Industrial Informatics, IEEE Sensors Journal, IEEE Transactions on Intelligent Transportation Systems, and IEEE Journal of Biomedical and Health Informatics. He is the editor of six books, including Big Data Analytics for Cyber-Physical Systems: Machine Learning for the Internet of Things, Elsevier, 2019, Smart Cities: Foundations, Principles and Applications, Hoboken, NJ: Wiley, 2017, Security and Privacy in Cyber-Physical Systems: Foundations, Principles and Applications, Chichester, UK: Wiley-IEEE Press, 2017, Cyber-Physical Systems: Foundations, Principles and Applications, Boston, MA: Academic Press, 2016, and Industrial Internet of Things: Cybermanufacturing Systems, Cham, Switzerland: Springer, 2016. He is the author of more than 100 articles. His research interests include cyber-physical systems, cybersecurity and privacy, internet of things, edge computing, AI/machine learning, big data analytics, unmanned aircraft systems, connected vehicle, smart and connected health, and wireless communications and networking. His research has been featured by popular news media outlets, including IEEE GlobalSpec's Engineering360, Association for Unmanned Vehicle Systems International (AUVSI), USA Today, U.S. News & World Report, Fox News, Forbes, The Washington Times,
WFTV, and New Atlas.
Dr. Song is a senior member of ACM and an ACM Distinguished Speaker. Dr. Song was a recipient of the Best Paper Award from the 12th IEEE International Conference on Cyber, Physical and Social Computing (CPSCom-2019), the Best Paper Award from the 2nd IEEE International Conference on Industrial Internet (ICII 2019), the Best Paper Award from the 19th Integrated Communication, Navigation and Surveillance technologies (ICNS 2019) Conference, the Best Paper Award from the 6th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2020), and the Best Paper Award from the 15th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2020).