Speech Title: Digital
Forensics in the Era of Artificial Intelligence
Biography: Anderson Rocha (IEEE Fellow)
is Full-Professor of Artificial Intelligence and
Digital Forensics at the Institute of Computing,
University of Campinas (Unicamp), Brazil. His
main interests include Artificial Intelligence
and Digital Forensics. He is the Head of the
Artificial Intelligence Lab., Recod.ai, at
Unicamp and was the former Director of the
Institute for the 2019-2023 term. He is an
elected affiliate of the Brazilian Academy of
Sciences (ABC) and the Brazilian Academy of
Forensic Sciences (ABC). He is a three-term
elected member of the IEEE Information Forensics
and Security Technical Committee (IFS-TC) and a
former chair of such committee. In 2023, he was
elected again to the IFS-TC chair for the
2025-2026 term. He has actively been an editor
of important international journals and the
chair of key conferences in Al and digital
forensics. He is a Microsoft Research and a
Google Research Faculty Fellow, important
academic recognitions given to researchers by
Microsoft Research and Google. In addition, in
2016, he was awarded the Tan Chin Tuan (TCT)
Fellowship, a recognition promoted by the Tan
Chin Tuan Foundation in Singapore. Since 2023,
he is also an Asia Pacific Artificial
Intelligence Association Fellow. He has been the
principal investigator of several research
projects in partnership with public funding
agencies in Brazil and abroad and national and
multi-national companies, having already filed
and licensed several patents. He is ranked among
the Top 2% of research scientists worldwide,
according to PlosOne/Stanford and Research.com
studies. Finally, he is a LinkedIn Top Voice in
Artificial Intelligence for continuously raising
awareness of Al and its potential impacts on
society at large.
Speech Title: It's not
AI. The literally fatal flaws of Artificial
Stupidity. Can Fuzzy Logic Help?
Abstract: The culture of AI has led to many
impressive demos. But this is not a good fit for
high-consequence problems such as security,
safety, healthcare, transportation, and privacy.
We therefore need to learn from the culture of
various fields that have grappled with these
challenges for decades. But we also have much to
learn from the legacy of Lotfi Zadeh. Some
suggestions will be given to get us back on
track. I wish I could say “back on track before
it’s too late.” But it’s already too late. Much
damage has already been done. We can and
urgently need to do better.
Bio: Donald
C. Wunsch II is the Mary Finley Missouri
Distinguished Professor and Director, Kummer
Institute Center for Artificial Intelligence and
Autonomous Systems at Missouri University of
Science and Technology (Missouri S&T). He is
also Director of the Applied Computational
Intelligence Laboratory. Earlier employers were:
Texas Tech University, Boeing, Rockwell
International and International Laser Systems.
His education includes: Ph.D., Electrical
Engineering - University of Washington
(Seattle), Executive MBA - Washington University
in St. Louis, M.S., Applied Mathematics -
University of Washington (Seattle), B.S.,
Applied Mathematics - University of New Mexico
(Albuquerque), and Jesuit Core Honors Program,
Seattle University. He also completed the
Kellogg Executive Scholar graduate certificate
program in Nonprofit Management at Northwestern
University. Key research contributions are
real-time design of Unsupervised and
Reinforcement Learning and their applications.
He is an IEEE Fellow and previous International
Neural Networks Society (INNS) President, INNS
Fellow, NSF CAREER Awardee, and recipient of the
2015 INNS Gabor Award, 2019 INNS Ada Lovelace
Service Award, and 2023 IEEE Neural Networks
Pioneer Award. He served as IJCNN General Chair,
and on several Boards, including the St.
Patrick’s School Board, Missouri S&T Newman
Center Board, IEEE Neural Networks Council, INNS
Board of Governors, and the University of
Missouri Bioinformatics Consortium, chaired the
Missouri S&T Information Technology and
Computing Committee as well as the Student
Design and Experiential Learning Center Board.
He served as Interim Director of the Missouri
S&T Intelligent Systems Center and as a Program
Director at the National Science Foundation. He
has produced 25 Ph.D. recipients in Computer
Engineering, Electrical Engineering, Systems
Engineering and Computer Science.
Speech Title:
Computational Intelligence for the generation
and analysis of biological networks
Abstract: Biological networks such as those that
record interactions between genes or proteins
are considered complex networks. These are large
graphs that have non-trivial topological
features, making them hard to analyze. However,
they still have inherent properties such as the
existence of communities of highly-connected
nodes. This talk will present computational
intelligence approaches that have been used to
generate and analyze complex networks, with a
special focus on biological networks.
Biography: Sheridan Houghten is a professor in
the Department of Computer Science at Brock
University, where she has also previously served
terms as chair and as graduate program director.
Her research interests include combinatorial
optimization, computational intelligence, and
algorithms. Her research is directed at various
application areas including bioinformatics and
graphs, with her research group developing
computational techniques, algorithms, and tools
for the modelling and analysis of biological and
biomedical data, especially in the form of
graphs or networks. She is also a very active
senior member within the IEEE Computational
Intelligence Society (CIS), within which she has
filled many roles.
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