Invited Speakers

Title: TBA
Monday, May 15, 2023, 9:15 - 10:15, Room: TBA

Deborah McGuiness

Tetherless World Senior Constellation Chair and Professor of Computer and Cognitive Science, Rensselaer Polytechnic Institute  
Abstract: TBA
Bio:  Deborah McGuinness is the Tetherless World Senior Constellation Chair and Professor of Computer, Cognitive, and Web Sciences at RPI. She is also the founding director of the Web Science Research Center.Deborah has been recognized with awards as a fellow of the American Association for the Advancement of Science (AAAS) for contributions to the Semantic Web, knowledge representation, and reasoning environments and as the recipient of the Robert Engelmore award from the Association for the Advancement of Artificial Intelligence (AAAI) for leadership in Semantic Web research and in bridging Artificial Intelligence (AI) and eScience, significant contributions to deployed AI applications, and extensive service to the AI community.Deborah currently leads a number of large diverse data intensive resource efforts and her team is creating next generation ontology-enabled research infrastructure for work in large interdisciplinary settings.

Title: TBA (trustworthy AI)
Tue, May 16, 2023, 9:15 - 10:15, room:TBA

Christoph Benzmüller

Professor, Chair for AI Systems Engineering,  Otto-Friedrich-Universität BambergProfessor, Math and Computer Science, Frei University, Berlin, Germany
Abstract: TBA 
Bio: Prof. Christoph Benzmüller has held the chair for AI system development at the University of Bamberg since 2022. As an adjunct professor, he is also connected to the Department of Mathematics and Computer Science at Freie Universität Berlin (where he was the first UNA Europe visiting professor) and he maintains a close research collaboration with the University of Luxembourg. He also advises AI startup companies in Germany and abroad.
Benzmüller sees AI less as a technology and more as a scientific discipline that should focus more on research and experimentation with representative objects.* For Benzmüller, the exploration and flexible processing of representative objects in computers in combination with hybrid AI (merging of symbolic and sub-symbolic techniques) represents a central challenge and opportunity for the modeling of (highly) intelligent AI systems. Explicit, declarative representations are also particularly relevant for the realization of trustworthy, responsible AI systems, since they not only make (normative and other) knowledge transparent and explainable, but also make it possible to communicate efficiently and robustly between humans and machines.
Benzmüller's research therefore deals with topics such as the automation of rational reasoning and normative reasoning in the computer, universal knowledge representation, computational metaphysics and the mechanization of mathematical reasoning (including automatic theorem proving).
Benzmüller has done research as a guest professor/scientist at numerous renowned universities in Germany and abroad, building up a close-knit research network in the process. The stations of his career include: Free University of Berlin, University of Luxembourg, Stanford University (USA), International University in Germany, Cambridge University (UK), University of Birmingham (UK), University of Edinburgh (UK) and Carnegie Mellon University (USA). ). Benzmüller studied (1989-1995), received his doctorate (1999) and habilitated (2006) at Saarland University.
Benzmüller's research activities were funded by the DFG (including a Heisenberg grant, research grant, research grant, special research area), EPSRC/UK (research project), Volkswagen Foundation (experiment!), Studienstiftung des Deutschen Volkes (doctoral grant), ERC (Research Training Network), FNR/Luxemburg and BMBF.
Before his academic career, Christoph Benzmüller was a successful national long-distance runner.

Wednesday, May 17, 2023, 9:00 - 10:00, Room: TBA

Bonnie J. Dorr

Professor of Computer Science at the University of Florida 
Abstract: TBA
Bio: Bonnie J. Dorr is a Professor of Computer Science at the University of Florida, Senior Research Scientist at the Florida Institute for Human and Machine Cognition (IHMC), and Professor Emerita of Computer Science at the University of Maryland. Dr. Dorr leads the Natural Language Processing (NLP) Research Laboratory. Her research and project management experience includes deep-language understanding and semantics, large-scale multilingual processing, and summarization. She has carried out seminal work in cross-language divergence detection, machine translation, paraphrasing and automatic evaluation metrics.
Together with her colleagues and students, Dr. Dorr has established the new field of Cyber-NLP, bringing together expertise at the intersection of cyber, social computing, AI, and NLP. Her interests focus on cyber-event extraction and natural language understanding for detecting attacks, discerning intentions of attackers, thwarting social engineering attacks, and detecting stances and other indicators of influence campaigns. As PI of an IARPA CAUSE team (ELLIPSE), she has focused on generation of warning narratives to security analysts. She has led and currently leads projects in several recent DARPA programs including SocialSim (SimON), SIFT (PERFECTA), ASED (PANACEA), ASIST (PEPT and UPSTAGE), and INCAS (RADII).