Invited Talks for IEEE CIC/TPS/CogMI
Tarek Abdelzaher (IEEE & ACM Fellow)
Sohaib and Sara Abbasi Professor of CS and Willett Faculty Scholar, UIUC, USA
Biography:
Tarek Abdelzaher (Ph.D., UMich, 1999) is a Sohaib and Sara Abbasi Professor of
CS and Willett Faculty Scholar (UIUC), with over 300 refereed publications in
Real-time Computing, Distributed Systems, Sensor Networks, and IoT. He served as
Editor-in-Chief of J. Real-Time Systems for 20 years, an AE of IEEE TMC, IEEE TPDS,
ACM ToSN, ACM TIoT, and ACM ToIT, among others, and chair of multiple top
conferences in his field. Abdelzaher received the IEEE Outstanding Technical
Achievement and Leadership Award in Real-time Systems (2012), a Xerox Research Award
(2011), and several best paper awards. He is a fellow of IEEE and ACM.
Barbara Carminati
Professor, University of Insubria, Italy
Biography:
Her main research interests are related to security and privacy for innovative
applications, like online social networks, cloud computing, semantic web, data
outsourcing, XML data sources, Web service, and data streams.
Dimitrios Georgakopolous
Professor, Swinburne University of Technology, Australia
Biography:
Dr. Dimitrios Georgakopoulos is currently the Director of the ARC Research Hub for
Future Digital Manufacturing, the Director of Swinburne's key IoT Lab, and the
University's Industry 4.0 Program program leader. Before that he served as Research
Director (2008-2014) of CSIRO’s ICT Centre and a Professor at RMIT University
(2014-2016). At CSIRO he led the Information Engineering Laboratory, which was the
largest Computer Science research program in Australia. Prior to joining CSIRO, he
held research and management positions in industrial laboratories in the USA,
including Telcordia Technologies (where he helped found two of Telcordia’s Research
Centers in Austin, Texas, and Poznan, Poland); Microelectronics and Computer
Corporation (MCC) in Austin; GTE (currently Verizon) Laboratories in Boston; and
Bell Communications Research (Bellcore) in New Jersey. He is a CSIRO Adjunct Fellow
since 2014.
Peter Kairouz
Research Scientist, Google Inc, USA
Biography:
Peter Kairouz is a research scientist at Google, where he leads various efforts
focused on researching and building privacy-enhancing technologies for AI and
analytics systems. Before joining Google, he was a Postdoctoral Research Fellow at
Stanford University. He received his Ph.D. in electrical and computer engineering
from the University of Illinois at Urbana-Champaign (UIUC). He is the
recipient/co-recipient of the 2012 Roberto Padovani Scholarship from Qualcomm's
Research Center, the 2015 ACM SIGMETRICS Best Paper Award, the 2015 Qualcomm
Innovation Fellowship Finalist Award, the 2016 Harold L. Olesen Award for Excellence
in Undergraduate Teaching from UIUC, and the 2021 ACM Conference on Computer and
Communications Security (CCS) Best Paper Award.
Latifur Khan
Professor, University of Texas at Dallas, USA
Biography:
Dr. Khan is an international leader in Big Data Analytics (BDA), a key aspect of
data science. He has been instrumental in educating the students in BDA at UTD, for
several years. He was also successful in writing multiple proposals to NSF and
getting funding for experimental research and introduced his BDA students to
research projects. His BDA class has often had enrollments of around 130 and is
extremely popular. He has also developed a BDA framework and collaborates with
faculty at EPPS (e.g., Profs. Jennifer Holmes and Patrick Brandt) and shares his
framework with them for their applications in political science. Together with EPPS
professors as well as through other collaborations (e.g., UIUC, U of MN) he has
brought in millions of dollars in federal funding in this area. He is known
worldwide as the Data Science person at UTD by eminent researchers.
Huan Liu
Professor, Arizona State University, USA
Biography:
His research focuses on developing computational methods for data mining, machine
learning, and social computing, and designing efficient algorithms to enable
effective problem solving ranging from basic research, text/Web mining,
bioinformatics, image mining, to real-world applications. His work includes (i)
dealing with high dimensional data via feature selection and feature discretization;
(ii) social media mining/social computing, identifying the influentials in the
blogosphere, group profiling and interaction; (iii) integrating multiple data
sources to overcome ambiguity and uncertainty, (iv) employing domain knowledge for
effective mining and information integration, and (v) assisting human experts by
developing effective methods of ensemble learning, and active learning with
hierarchical classification, subspace clustering, and meta data. Detailed
information can be obtained via his publications and professional activities.
Ravi K. Madduri
Senior Computer Scientist, Grgonne National Lab, USA
Biography:
Ravi Madduri is actively involved in developing innovative software in the
intersection of HPC/AI and biomedicine. His research interests are in building
sustainable, scalable services for science, reproducible research, large-scale data
management, analysis using HPC and AI. He leads the PALISADE-X project that is
developing Privacy-preserving Federated Learning framework to build robust,
trust-worthy AI models. He co-leads the MVP-CHAMPION project, which is a
collaboration between VA and DOE and develops methods to perform large-scale genetic
data analysis using DOE’s high performance computing capabilities, including methods
for generating PRS scores in Prostate Cancer, genome-wide PheWAS on Summit
supercomputer. Additionally, Ravi was one of three key contributors to the National
Institutes of Health $100M Cancer Biomedical Informatics Grid (caBIG), which linked
60 NIH-funded cancer centers and clinical sites engaged in cancer research. For his
efforts in project management, tool development, and collaboration, Ravi received
several Outstanding Achievement Awards from NIH. For his work on “Cancer Moonshot”
project, he received the Department of Energy Secretary award in 2017.
Calton Pu
Professor and John P. Imlay, Jr. Chair in Software, Georgia Institute of
Technology, USA
Biography:
Calton Pu was born in Taiwan and grew up in Brazil. He received his PhD from
University of Washington in 1986 and served on the faculty of Columbia University
and Oregon Graduate Institute. Currently, he is holding the position of Professor
and John P. Imlay, Jr. Chair in Software in the College of Computing, Georgia
Institute of Technology. He has worked on several projects in systems and database
research. His contributions to systems research include program specialization and
software feedback. His contributions to database research include extended
transaction models and their implementation. His recent research has focused on
automated system management in clouds (Elba project), information quality (e.g.,
spam processing), and big data in Internet of Things. He has collaborated
extensively with scientists and industry researchers. He has published more than 70
journal papers and book chapters, 280 conference and refereed workshop papers. He
served on more than 120 program committees, including the co-PC chairs of SRDS'95,
ICDE’99, COOPIS’02, SRDS’03, DOA’07, DEBS’09, ICWS’10, CollaborateCom'11, ICAC’13,
CLOUD’15, and Big Data Congress’16. He also served as co-general chair of ICDE'97,
CIKM'01, ICDE’06, DEPSA’07, CEAS’07, SCC’08, CollaborateCom’08, World Service
Congress’11, CollaborateCom’12, and IEEE CIC’15.
Adrienne Raglin
Electronics Engineer, Team Lead, U.S. Army DEVCOM, Army Research Laboratory
(ARL)
Biography:
Dr. Adrienne Raglin is currently an Electronics Engineer with the U.S. Army DEVCOM,
Army Research Laboratory (ARL), Team Lead for the Artificial Reasoning team and
Associate Branch Chief of Content Understanding Branch. Dr. Adrienne Raglin received
her Ph.D. from Howard University in Electrical Engineering in 2003. She received her
M.S. and B.S. in Electrical Engineering in 1991 and 1989 respectively from Georgia
Institute of Technology. She received her B.S. in Computer Science in 1989 from
Spelman College. Her scientific interest has included image processing, Internet of
Things (IoT), uncertainty of information, human information interaction, and
artificial reasoning. She collaborates with academics, industry, other
organizations, and ARL researchers conducting research that focuses on the
complexities and challenges of enabling intelligent systems to reason in order to
enhance and improve multiple aspects of command and control as well as decision
making.
Danda B. Rawat
Full Professor, Associate Dean for Research & Graduate Studies,
Howard University Data Science & Cybersecurity Center, USA
Biography:
Dr. Danda B. Rawat is an Associate Dean for Research & Graduate Studies, a Full
Professor in the Department of Electrical Engineering & Computer Science (EECS),
Founding Director of the Howard University Data Science & Cybersecurity Center,
Founding Director of DoD Center of Excellence in Artificial Intelligence & Machine
Learning (CoE-AIML), Director of Trustworthy Artificial Intelligence (TruAI)
Research Lab, Director of Cyber-security and Wireless Networking Innovations (CWiNs)
Research Lab, Graduate Program Director of Howard CS Graduate Programs and Director
of Graduate Cybersecurity Certificate Program at Howard University, Washington, DC,
USA. Dr. Danda B. Rawat successfully led and established the Research Institute for
Tactical Autonomy (RITA), the 15th University Affiliated Research Center (UARC) of
the US Department of Defense as the PI/Founding Executive Director at Howard
University, Washington, DC, USA.
Upendra Sharma
Research Staff Member, IBM T. J. Watson Research Center, USA
Biography:
Experienced Researcher and Developer with a demonstrated history of working in the
information technology and services industry. Skilled in design and implementation
if distributed systems, skilled in Java, Python, NodeJS (Programming Language).
Strong research professional with a PhD focused in Cloud Computing (Computer
Science) from University of Massachusetts, Amherst.
Jialie (Jerry) Shen
Professor, City University of London, UK
Biography:
Jialie (Jerry) Shen is currently a professor in computer vision and machine learning
(Chair) with the Department of Computer Science, City, University of London, UK. His
research interests spread across subareas in artificial intelligence (AI) and data
science, including computer vision, deep learning, machine learning, image/video
analytics and information retrieval. His research results have expounded in more
than 150 publications at prestigious journals and conferences, such as IEEE T-IP,
T-CYB, T-MM, T-CSVT, T-CDS, ACM TOIS, ACM TOMM, IJCAI, AAAI, CVPR, ACM SIGIR, ACM
SIGMOD, ACM Multimedia, ICDE, and ICDM with several awards: the Lee Foundation
Fellowship for Research Excellence Singapore, the Microsoft Mobile Plus Cloud
Computing Theme Research Program Award, the Best Paper Runner-Up for IEEE
Transactions on Multimedia, the Best Reviewer Award for Information Processing and
Management (IP&M) 2019 and ACM Multimedia 2020, and the Test of Time Reviewer Award
for Information Processing and Management (IP&M) 2022. He has served for 100 major
conferences including CVPR, ICCV, ECCV, IJCAI, AAAI, NIPS, ICDM, SIGKDD, WWW, MMM,
ICMR, ICME, ACM SIGIR, and ACM Multimedia as area chair and senior PC/PC. He also
serves as an Associate Editor and (or) a member for the editorial board of leading
journals: Information Processing and Management (IP&M), Pattern Recognition (PR),
IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT), IEEE
Transactions on Multimedia (IEEE T-MM), IEEE Transactions on Knowledge and Data
Engineering (IEEE T-KDE) and ACM Transactions on Multimedia Computing,
Communications, and Applications (ACM TOMM).
Weisong Shi
Professor, University of Delaware, USA
Biography:
Weisong Shi is an Alumni Distinguished Professor and Chair of the Department of
Computer and Information Sciences at the University of Delaware (UD), where he leads
the Connected and Autonomous Research (CAR) Laboratory. He is an internationally
renowned expert in edge computing, autonomous driving, and connected health. His
pioneer paper, "Edge Computing: Vision and Challenges,” has been cited more than
7700 times. Before joining UD, he was a professor at Wayne State University
(2002-2022). He served in multiple administrative roles, including Associate Dean
for Research and Graduate Studies at the College of Engineering and Interim Chair of
the Computer Science Department. Dr. Shi also served as a National Science
Foundation (NSF) program director (2013-2015). Dr. Shi is the Editor-in-Chief of
IEEE Internet Computing Magazine and Elsevier Smart Health. He is the founding
steering committee chair of three conferences, including the ACM/IEEE Symposium on
Edge Computing (SEC), the IEEE/ACM International Conference on Connected Health
(CHASE), and the IEEE International Conference on Mobility (MOST). He is the General
Chair of ACM MobiCom'24, the flagship conference on Mobile Computing and Wireless
Networking. He is a fellow of IEEE, a distinguished scientist of ACM, a member of
the NSF CISE Advisory Committee and CCC Council.