NISS 2022

Difficult data analysis

Abstract

Nowadays, many practical decision tasks require building models based on data which included severe difficulties, as imbalanced class distributions, limited access to ground truth, or data in motion, to enumerate only a few. Such characteristics may strongly deteriorate the final model performances. Therefore, the proposition of the new learning methods that can combat the difficulties above should focus on intense research. The main aim of this talk is to discuss the problems of data difficulties, especially imbalanced data or data stream.

Biography

Michał Woźniak is a professor of computer science at the Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Poland. His research focuses on machine learning, compound classification methods, classifier ensembles, data stream mining, and imbalanced data processing. Prof. Woźniak has been involved in research projects related to the aforementioned topics and has been a consultant for several commercial projects for well-known Polish companies and public administration. He has published over 300 papers and three books. He was awarded numerous prestigious awards for his scientific achievements as IBM Smarter Planet Faculty Innovation Award (twice) or IEEE Outstanding Leadership Award, and several best paper awards of the prestigious conferences. He serves as program committee chairs and the member for the numerous scientific events and prepared several special issues as the guest editor.

Ying-Dar Lin is a Chair Professor of computer science at National Chiao Tung University (NCTU), Taiwan. He received his Ph.D. in computer science from the University of California at Los Angeles (UCLA) in 1993. He was a visiting scholar at Cisco Systems in San Jose during 2007–2008, CEO at Telecom Technology Center, Taiwan, during 2010-2011, and Vice President of National Applied Research Labs (NARLabs), Taiwan, during 2017-2018. He cofounded L7 Networks Inc. in 2002, later acquired by D-Link Corp. He also founded and directed Network Benchmarking Lab (NBL) from 2002, which reviewed network products with real traffic and automated tools, also an approved test lab of the Open Networking Foundation (ONF), and spun off O'Prueba Inc. in 2018. His research interests include machine learning for network security, wireless communications, network softwarization, and mobile edge computing. His work on multi-hop cellular was the first along this line, and has been cited over 1000 times and standardized into IEEE 802.11s, IEEE 802.15.5, IEEE 802.16j, and 3GPP LTE-Advanced. He is an IEEE Fellow (class of 2013), IEEE Distinguished Lecturer (2014–2017), ONF Research Associate (2014-2018), and received K. T. Li Breakthrough Award in 2017 and Research Excellence Award in 2017 and 2020. He has served or is serving on the editorial boards of several IEEE journals and magazines, including Editor-in-Chief of IEEE Communications Surveys and Tutorials (COMST) with impact factor increased from 9.22 to 29.83 during his term in 2017-2020. He published a textbook, Computer Networks: An Open Source Approach (www.mhhe.com/lin), with Ren-Hung Hwang and Fred Baker (McGraw-Hill, 2011).

His research area incudues; Network Protocols and Algorithms - Design, Analysis, Implementation, Benchmarking; Machine Learning for Network Security - Intrusion/Malware/Virus/Botnet/APT, Adversarial Attacks on Machine Learning based IDS; Network Softwarization - Software Defined Networking (SDN), Network Function Virtualization(NFV), OpenFlow and P4, Federated Cloud/Edge/Fog; Wireless Communications - 5G, Mobile Edge Computing, HetNet(Heterogenous Networks), Small Cells/Femto Cells/Relay Cells, WLAN, Internet of Things (IoT); Network Testing - Switch/Router, WLAN, VoIP, Security, 5G, SDN, P4, Internet of Things (IoT)

Dr. Ning Zhang is an Associate Professor in the Department of Electrical and Computer Engineering at University of Windsor, Canada. He received the Ph.D degree in Electrical and Computer Engineering from University of Waterloo, Canada, in 2015. After that, he was a postdoc research fellow at University of Waterloo and University of Toronto, respectively. His research interests include connected vehicles, mobile edge computing, wireless networking, and machine learning. He is a Highly Cited Researcher and has 20 ESI highly cited papers. He serves as an Associate Editor of IEEE Internet of Things Journal, IEEE Transactions on Cognitive Communications and Networking, and IEEE Systems Journal; and a Guest Editor of several international journals, such as IEEE Wireless Communications, IEEE Transactions on Industrial Informatics, and IEEE Transactions on Intelligent Transportation Systems. He also serves/served as a TPC chair for IEEE VTC 2021 and IEEE SAGC 2020, a general chair for IEEE SAGC 2021, a track chair for several international conferences and workshops. He received 8 Best Paper Awards from conferences and journals, such as IEEE Globecom and IEEE ICC. He also received IEEE TCSVC Rising Star Award for outstanding contributions to research and practice of mobile edge computing and Internet of things service.

Kaoutar El Maghraoui is a principal research scientist at the IBM Research AI organization where she is focusing on innovations at the intersection of systems and artificial intelligence. She leads the End-Use experimental AI testbed of the IBM Research AI Hardware Center, a global research hub focusing on enabling next-generation chips and systems for AI workloads. She is currently focusing on the operationalization aspects of AI systems in hybrid cloud environments. Kaoutar has extensive experience and deep expertise in HPC, systems software, Cloud computing and machine learning.

Kaoutar co-led IBM's Global Technology Outlook in 2017 where she worked on creating IBM's vision for the future of IT across global labs and business units focusing on IBM's AI leadership. Prior to that, she was a member of the scalable systems groups, where she has conducted research on several aspects of the AIX operating system such as performance, multi-thread and multi-core scheduling, Flash SSD storage, OS crash diagnosis and recovery, interactions with systems architecture, and applying analytics techniques for OS problem diagnosis. She led a research project to apply IBM Watson's cognitive technology to systems problem diagnosis and resolution for the POWER platform. Her primary research interests are cloud computing, operating systems, high-performance computing, distributed systems, and analytics.

Kaoutar obtained a PhD degree in Computer Science in 2007 from Rensselaer Polytechnic Institute (RPI), Troy, New York and a Masters degree in Computer Networks in 2001 from Al Akhawayn University, Morocco. She was a lecturer of Computer Science in the School of Science and Engineering at Al Akhawayn University in 2001 and 2002. Kaoutar has received several fellowships and awards including the American Association of University Women fellowship, the Robert McNaughton Award for best thesis in computer science at RPI, IBM's Eminence and Excellence award for leadership in increasing Women's presence in science and technology, and IBM's Tier II award for contributions to the foundational POWER software technologies and promoting these systems in Africa. She is a member of ACM, IEEE Computer Society, and the Society of Women Engineers. Kaoutar has co-authored several conference and journal publications in the areas of systems research, distributed systems and high performance computing. She has served in many technical conferences as co-chair, member of the program committee, and reviewer.

Dr. Kaoutar El-Maghraoui is co-chair of the Arab Women in Computing (ArabWIC) Anita Borg Institute Systers' community and co-chair of IBM Research Watson Women's Network. She is very passionate about mentoring, promoting, and increasing the participation of women in STEM and computing fields. She has been an active member of the leadership team of the Grace Hopper Conference (GHC), the world's largest conference of women in computing. Under her leadership, she helped put together the most International poster/career track committees the conference has ever had. She has served as the program Co-Chair of GHC in 2015 and is currently serving as the general Co-Chair of GHC in 2016. Recently, she received the 2021 IEEE TCSVC Women in Service Computing Award for her work in the development of infrastructure for next generation AI hardware and critical leadership and contributions to Arab women in Computing organization.

Tony Q.S. Quek is a tenured Full Professor with the Singapore University of Technology and Design (SUTD), leading the Wireless Networks and Decision Systems (WNDS) Group. He is also the Director of Future Communications R&D Programme, ISTD Pillar Head, Sector Lead of SUTD AI Program, and Deputy Director of the SUTD-ZJU IDEA. He received the B.E. and M.E. degrees in Electrical and Electronics Engineering from Tokyo Institute of Technology, respectively. At MIT, he earned the Ph.D. in Electrical Engineering and Computer Science. He is a member in the Signal Processing for Communications and Networking Technical Committee, and a Fellow of IEEE.

His current research interests include wireless communications and networks, network intelligence, big data processing, URLLC, and IoT.

Dr. Korhan Cengiz was born in Edirne, Turkey, in 1986. He received the BSc degrees in Electronics and Communication Engineering from Kocaeli University and Business Administration from Anadolu University, Turkey in 2008 and 2009 respectively. He took his MSc degree in Electronics and Communication Engineering from Namik Kemal University, Turkey in 2011, and the PhD degree in Electronics Engineering from Kadir Has University, Turkey in 2016. Since August 2021, he has been an Assistant Professor at the College of Information Technology in University of Fujairah, UAE. From 2018 to 2021, he worked as an Assistant Professor at the department of Electrical-Electronics Engineering in Trakya University. Dr. Cengiz is the author of over 35 SCI / SCI-E articles including IEEE Internet of Things Journal, IEEE Access, Expert Systems with Applications, Knowledge Based Systems and ACM Transactions on Sensor Networks, 4 international patents, 4 book chapters, and 1 book in Turkish. His research interests include wireless sensor networks, wireless communications, statistical signal processing, indoor positioning systems, internet of things, power electronics and 5G. He is the Handling Editor of Microprocessors and Microsystems, Elsevier, Associate Editor of IET Electronics Letters, IET Networks and Editor of AEÜ- International Journal of Electronics and Communications, Elsevier. He has also Guest Editorial Positions in IEEE Internet of Things Magazine. He serves several reviewer positions for IEEE Internet of Things Journal, IEEE Sensors Journal and IEEE Access. He serves several book editorial positions in IEEE, Springer, Elsevier, Wiley and CRC. He presented 20+ keynote talks in reputed IEEE and Springer Conferences about WSNs, IoT and 5G. He is Senior Member, IEEE and Professional Member of ACM. Dr. Cengiz's awards and honors include the Tubitak Priority Areas PhD Scholarship, the Kadir Has University PhD Student Scholarship, best presentation award in ICAT 2016 Conference and best paper award in ICAT 2018 Conference.

Shi-Jinn Horng is Chair Professor at Department of Computer Science and Information Enginieering, National Taiwan Institute of Science and Technology. He is an expert in Distributed & Parallel Computing, Artificial Intelligence, and Hardware. Shi-Jinn have more than 200 published articles.

His current research interests include Deep Learning & Big Data, Biometric Recognition, Information Security, Cloud & Fault Computing, Multimedia, and Medical Applications.

Kathleen A. Kramer is a Professor of Electrical Engineering at the University of San Diego, San Diego, CA. She worked to develop new engineering programs as a founding member of the faculty and eventually became the chair of electrical engineering, and then serving as Director of Engineering (2004-2013), providing academic leadership for all of the university's engineering programs. She has also been a Member of Technical Staff at several companies, including ViaSat, Hewlett Packard, and Bell Communications Research. Author or co-author of over 100 publications, she maintains an active research agenda and has recent publications in the areas of multisensor data fusion, intelligent systems, and neural and fuzzy systems. Her teaching interests are in the areas of signals and systems, communication systems, and capstone design. She received the B.S. degree in electrical engineering magna cum laude with a second major in physics from Loyola Marymount University, and the M.S. and Ph.D. degrees in electrical engineering from the California Institute of Technology.

She chairs the AESS Technical Panel on Cyber Security and is the Chair of the San Diego Chapter of the IEEE Aerospace Electronics Systems Society, leading an active chapter that serves engineers and scientists from a large, diverse complex systems industry base. In 2015, she is contributing to the conference committees of both the 34th AESS/AIAA Digital Avionics Systems Conference and the 2015 IEEE Global Humanitarian Technology Conference. She is the 2015-16 Director Elect of IEEE Region 6 (Western USA) and in that role develops and supports technical, educational, professional and humanitarian activities in the geographic region that reaches 12 western states and borders all four IEEE international regions. She is an IEEE member of the Engineering Accreditation Commission of ABET, leading engineering accreditation reviews at universities both in the US and internationally.

She is a past Chair of the IEEE San Diego Section and branch counselor to the IEEE Student Branch at the University of San Diego. She is also Chief Advisor to the California Alpha Epsilon Chapter of Tau Beta Pi (2012) and a member of other honor societies, including IEEE-Eta Kappa Nu. She has twice been recognized by the San Diego Engineering Council as the Engineering Educator of the Year as part of the celebration for National Engineers Week (1994, 2003). She was also principle investigator of a recent National Science Foundation project (no. 0948070) to connect veterans into undergraduate degrees in engineering and the number of veteran transfer students at her institution increased by nearly three-fold since her project began.

Her research interests include signal processing, communications, and capstone design. Her recent course offerings include the electrical engineering senior design sequence, signals and systems, wireless communications, and communication principles.