Singapore | September 21-22, 2024












Keynote Speakers of PCDS2024 (Alphabetize by Last Name)

Prof. Xiaowen Chu

Professor, Acting Head
Data Science and Analytics Thrust
Information Hub
The Hong Kong University of Science and Technology (Guangzhou), China

Prof. Xiaowen Chu received his B.Eng. degree in Computer Science from Tsinghua University, Beijing, P. R. China, in 1999, and the Ph.D. degree in Computer Science from The Hong Kong University of Science and Technology in 2003. He is currently a Professor at the Data Science and Analytics Thrust, Information Hub of HKUST(GZ), and an Affiliate Professor in the Department of Computer Science and Engineering, HKUST. He has been working at the Department of Computer Science, Hong Kong Baptist University during 2003-2021. He is a senior member of IEEE and a member of ACM. He is a vice-chairman of the Blockchain Technical Committee of China Institute of Communications. His current research interests include GPU Computing, Distributed Machine Learning, Cloud Computing, and Wireless Networks. He is especially interested in the modelling, parallel algorithm design, application optimization, and energy efficiency of GPU computing.

Prof. Bingsheng He

Professor and Vice Dean (Research) at National University of Singapore, Singapore

Prof. Bingsheng He is currently a Professor and Vice Dean (Research), School of Computing, National University of Singapore. Before joining NUS in May 2016, he held a research position in the System Research group of Microsoft Research Asia (2008-2010) and a faculty position in Nanyang Technological University, Singapore. Bingsheng has served as a PC member for international conferences in databases (e.g.,ACM SIGMOD, VLDB, IEEE ICDE), cloud computing (e.g., ACM SoCC) and parallel and distributed systems (e.g., SC, HPDC and IPDPS), and as a demo co-Chair in VLDB 2017, PC co-Chair in IEEE CloudCom 2014/2015 , HardBD2016, IEEE BigData Congress 2018 and ICDCS 2020. He has served in editor board of international journals, including IEEE Transactions on Cloud Computing (IEEE TCC), IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Springer Journal of Distributed and Parallel Databases (DAPD), and ACM Computing Surveys (CSUR). He has got editorial excellence awards for his service in IEEE TCC and IEEE TPDS in 2019.
He has got a number of awards including IBM Ph.D. fellowship (2007-2008), NVIDIA Academic Partnership (2010-2011) and Nanyang Education Award (School) 2014. He has got a number of paper awards and honorable mentions in international prestigious conferences and journals including VLDB 2023 (industry track), IEEE TPDS 2019 best paper award, ACM SIGMOD 2008, VLDB 2013 (demo), IEEE IC2E 2016, 2017 IEEE/ACM William J. McCalla ICCAD Best Paper Award, and PACT 2018 (see Awards). He is an ACM Distinguished Member (2020).

Prof. Noor Zaman Jhanjhi

Cluster Head for the Cybersecurity cluster
Director of the Center for Smart Society 5.0
Programme Director and Acting Programme Director at Taylorís University, Malaysia.

Prof. Dr Noor Zaman Jhanjhi (NZ Jhanjhi) is currently working as Professor, Director Center for Smart society 5.0 [CSS5], and Cluster Head for Cybersecurity cluster, at the School of Computer Science and Engineering, Taylorís University, Malaysia. The cybersecurity research cluster has extensive research collaboration globally with several institutions and professionals. Dr Jhanjhi serves as Associate Editor and Editorial Assistant Board for several reputable journals, such as PeerJ Computer Science, Frontier in Communication and Networks. He received Outstanding Associate Editor for IEEE ACCESS for 2020, PC member for several IEEE conferences worldwide, and guest editor for several reputed indexed journals. Active reviewer for a series of top-tier journals has been awarded globally as a top 1% reviewer by Publons (Web of Science). He has high indexed publications in WoS/ISI/SCI/Scopus, and his collective research Impact factor is more than 500 points. He has several international Patents on his account, including Australian, German, Japan, etc. edited/authored more than 40 research books published by world-class publishers, including Springer, Taylors and Frances, Willeys, Intech Open, IGI Global USA, etc. He has great experience supervising and co-supervising postgraduate students; and more than 20 PG scholars are graduated under his supervision, and an ample number of current PG students are under his supervision. He is an external Ph.D./Master thesis examiner/evaluator for several universities globally. He has completed more than 30 internationally funded research grants successfully. He has served as a Keynote/Invited speaker for more than 30 international conferences globally, presented several Webinars worldwide, chaired international conference sessions, and provided Consultancy on several projects internationally. He has vast experience of academic qualifications including ABET, NCAAA, and NCEAC for 10 years. His research areas include Cybersecurity, IoT security, Wireless security, Data Science, Software Engineering, and UAVs.

Prof. Pascal Lorenz

Professor at the University of Haute-Alsace, France

Prof. Pascal Lorenz received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. Between 1990 and 1995 he was a research engineer at WorldFIP Europe and at Alcatel-Alsthom. He is a professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks and high-speed networks. He is the author/co-author of 3 books, 3 patents and 200 international publications in refereed journals and conferences. He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since 2015, IEEE Transactions on Vehicular Technology since 2017, Chair of IEEE ComSoc France (2014-2020), Financial chair of IEEE France (2017-2022), Chair of Vertical Issues in Communication Systems Technical Committee Cluster (2008-2009), Chair of the Communications Systems Integration and Modeling Technical Committee (2003-2009), Chair of the Communications Software Technical Committee (2008-2010) and Chair of the Technical Committee on Information Infrastructure and Networking (2016-2017), Chair of IEEE/ComSoc Satellite and Space Communications Technical (2022-2023), IEEE R8 Finance Committee (2022-2023), IEEE R8 Conference Coordination Committee (2023). He has served as Co-Program Chair of IEEE WCNC'2012 and ICC'2004, Executive Vice-Chair of ICC'2017, TPC Vice Chair of Globecom'2018, Panel sessions co-chair for Globecom'16, tutorial chair of VTC'2013 Spring and WCNC'2010, track chair of PIMRC'2012 and WCNC'2014, symposium Co-Chair at Globecom 2007-2011, Globecom'2019, ICC 2008-2010, ICC'2014 and '2016. He has served as Co-Guest Editor for special issues of IEEE Communications Magazine, Networks Magazine, Wireless Communications Magazine, Telecommunications Systems and LNCS. He is associate Editor for International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley) and International Journal of Business Data Communications and Networking, Journal of Network and Computer Applications (JNCA-Elsevier). He is senior member of the IEEE, IARIA fellow and member of many international program committees. He has organized many conferences, chaired several technical sessions and gave tutorials at major international conferences. He was IEEE ComSoc Distinguished Lecturer Tour during 2013-2014.
Speech Title: Advanced architectures of Next Generation Wireless Networks
Abstract: Internet Quality of Service (QoS) mechanisms are expected to enable wide spread use of real time services. New standards and new communication architectures allowing guaranteed QoS services are now developed. We will cover the issues of QoS provisioning in heterogeneous networks, Internet access over 5G networks and discusses most emerging technologies in the area of networks and telecommunications such as IoT, SDN, Edge Computing and MEC networking. We will also present routing, security, baseline architectures of the inter-networking protocols and end-to-end traffic management issues.

Invited Speakers of PCDS2024 (Alphabetize by Last Name)

Prof. Su-Cheng Haw

Professor at Multimedia University, Malaysia

Su-Cheng Haw is a Professor at Faculty of Computing and Informatics, Multimedia University, where she leads several funded research. She is the research center chairperson of Center for Web Engineering (CWE), which is multidisciplinary and encompasses diversify research from modeling and tools, implementation, testing and evaluation, and application in the areas such as Databases and Information Retrieval, Service Oriented Computing, IoT, e-Learning, and Statistical Analysis. In addition, she is also the Editor-in-Chief of Journal of Informatics and Web Engineering (JIWE).
Her research interests include XML databases, data warehousing, semantic web & ontology, data modeling, and recommender system. She has published around 120 articles in reputable journals and conferences. She serves in several editorial boards and participated as technical committee member and reviewer boards for several international conferences and journals. Besides, she also received several ad-hoc invitations to review journal/conference articles.
Speech Title: Hybrid-based Recommender System with Descriptive Analytics
Abstract: The amount of information and users has been increasing at a remarkable rate in recent years. This is where the recommender system comes in, recommender system is a system that generates a list of recommended products for the user. Recommender system has outshined as one of the important features in an e-Commerce portal. Several recommender techniques have been proposed, yet, problems such as cold-start item problem, cold-start user problem and data sparsity problem still existed. In this talk, some existing hybrid-based recommender system will be discussed focusing in retailer and e-commerce domain. In addition, possible research directions will be discussed based on the current trends and problems.

Dr. Chiang Liang Kok

Lecturer at Newcastle Australia Institute of Higher Education, Singapore

Chiang Liang Kok graduated with First Class Honours in Bachelor of Electrical & Electronic Engineering from the prestigious Nanyang Technological University (NTU) in 2010. His exceptional performance and potential were swiftly recognized as he was awarded the highly coveted Singapore Economic Development Board (EDB) Integrated Circuit Design PhD Scholarship to pursue his Doctor of Philosophy (PhD) at NTU. In 2014, Chiang Liang emerged triumphant, earning his PhD Degree in Electrical & Electronic Engineering.
Chiang Liang joined the Newcastle Australia Institute of Higher Education in 2020 as a lecturer and program coordinator for the Bachelor of Electrical and Electronic Engineering (BEEE). His influence extends far beyond the classroom, as evidenced by his exclusive invitation to the Channel News Asia (CNA) Money Mind programme in May 2021, where he shared his expertise on blockchain technology and sustainable energy solutions. In November 2021, Chiang Liang's scholarly contributions were once again celebrated with the Best Paper award at the 4th International Conference on Environmental Science and Applications (ICESA 2021). As a respected leader in the engineering community, Chiang Liang plays an active role in shaping the future of the industry, serving as chairman for the STEM Industrial Advisory Board Committee and a committee member for the PEI Exam Board Council. His expertise is sought after on the international stage, with invitations as keynote speaker and plenary speaker for GMASC 2023, MSM 2024, CCCN 2024 and ACEE 2024. He is also the local and technical co-chair for CCCN 2024, ACEE 2024 and PCDS 2024. Furthermore, he is in the technical program committee for ICET 2024, ITET 2024 and ICICDT 2024. He is also the chairperson and moderator for track 1 session in WES 2023 and session chair for AGBRP 2024. He also serves as the publicity chair for MCSoC 2024. Chiang Liang's dedication to scholarly excellence is evident in his role as guest editor and reviewer for esteemed journals such as MDPI Electronics Journal, IEEE Access, and Circuits, Systems, and Signal Processing. In early 2024, Chiang Liang's secured a S$20k external funding grant through a Memorandum of Understanding (MoU) with Cushman & Wakefield. With over 50 publications in Q2 ranking journals, top conferences, and several book chapters, Chiang Liang's scholarly impact continues to reverberate across the global engineering landscape, driving innovation and shaping the future of the industry. His dedication to mentoring future engineers is evident in his supervision of Final Year Project (FYP) students, guiding them in research endeavours spanning machine learning, biomedical devices, limb lengthening implants, and power management units for portable devices.

Prof. Masato Oguchi

Professor at Ochanomizu University, Japan

Masato Oguchi received Ph.D. from the University of Tokyo in 1995. He was a researcher in National Institute of Informatics (NII) in 1995. From 1996 to 2000, he was a research fellow at the Institute of Industrial Science, University of Tokyo. He stayed at Aachen University of Technology in Germany in 1998 Ė 2000. In 2001, he became an associate professor in Chuo University. He has joined Ochanomizu University in 2003 as an associate professor. Since 2006, he has been a professor at the Department of Information Sciences, Ochanomizu University. His research interest includes various fields such as Cloud Computing, IoT devices, mobile networks, big data and social data analysis based on machine learning and network security. He has published many papers in above fields and served as committee members of various organization in IEEE, ACM, IEICE, IPSJ, and DBSJ.

Prof. Jiang Xiao

Professor at Huazhong University of Science and Technology (HUST), China

Dr. Jiang Xiao is currently a Professor in the School of Computer Science and Technology at Huazhong University of Science and Technology (HUST) in Wuhan, China. She earned her BSc degree from HUST in 2009 and her PhD degree from the Hong Kong University of Science and Technology (HKUST) in 2014. Her primary research interests lie in the fields of blockchain and distributed computing. She has published over 70 papers in top-tier international journals and academic conferences, including TPDS, TKDE, JSAC, TMC, INFOCOM, ICDE, SRDS, ICDCS, and ACSAC, and etc. She has directed and actively participated in numerous research and development projects funded by prestigious agencies such as the National Key R&D Program Youth Scientist Project, the National Natural Science Foundation of China (NSFC), the Hong Kong Research Grant Council (RGC), and the Hong Kong Innovation and Technology Commission (ITC). She has also collaborated with industry leaders including Tencent, and Intel. Her awards include CCF-Intel Young Faculty Research Program 2017, Hubei Downlight Program 2018, ACM Wuhan Rising Star Award 2019, Knowledge Innovation Program of Wuhan-Shuguang 2022, and Best Paper Awards from IEEE ICPADS/GLOBECOM/GPC/BLOCKCHAIN.

Prof. Yan Zhu

Professor at Southwest Jiaotong University, China

Prof. Yan Zhu received her Ph.D. degree in Computer Science from Darmstadt University of Technology (TU Darmstadt) in Germany in 2004. She has been working at Philipps University of Marburg in Germany from 1997 to 1998. Prof. Zhu is currently a Professor at the School of Computing and Artificial Intelligence of Southwest Jiaotong University, P.R. China, and has been serving as the Deputy Dean of the SWJTU-Leeds Joint School during 2019-2023. Prof. Yan Zhuís research interests include data mining, complex social network computing, and big data management and analysis. She has published 3 academic books on Web data mining, big data management, and web service in Chinese/English and brought out over 90 papers in prestigious conferences and journals. Her papers receive hundreds of other-citations, in which one single paper got over 70 other-citations. Prof. Zhu is a reviewer of many SCI/EI indexed journals and a TPC member of high-level international conferences.
Speech Title:Mining Abnormal Citation Groups in Academic Social Network
Abstract:Academic Social Network (ASN) is a large heterogeneous network consisting of a large number of entities (nodes) and their complex relationships (links). Typical ASN analysis and mining tasks include rising star finding, scholars collaboration prediction and recommendation, academic community value prediction, ASN abnormality mining, and so on.
Anomalous citation group discovery belongs to ASN mining tasks. Scholars win academic prestige if their publications have a high citation index due to the excellent quality. However, some scholars ally with each other to build a group (community) for over-citing each other's papers, in order to increase citation amount fraudulently and further angle for praises and benefits. Such a group demonstrates a tightly linked citation relationship in ASN (graph). To tackle such a citation fraud problem, an anomalous citation group detection approach, GADEC, is proposed, which bases on local expansion community discovery and DQN (Deep Q Network). Semantic information, such as research field, paper title, and self-citation, is extracted to richen authors' abnormal features. An expansion measure function is designed and strengthened for finding the communities, which integrates several key metrics like node transfer similarity, community membership, abnormal citation degree, etc. GADEC can accurately dig up the anomaly citation groups by mutually promoting both detection performances of anomalous communities and individual authors. The experiments on real data sets have demonstrated very good effectiveness of GADEC on the abnormal citation group mining.