TJ Klausutis, PhD

Program Manager

Strategic Technology Office (STO), DARPA

Topic

ASIMOV: Establishing Quantitative Benchmarks for Ethical Autonomy in Military Operations

Bio

Dr. Timothy (T.J.) Klausutis joined DARPA in August 2022 as a program manager in the Strategic Technology Office. His interests include network collaborative autonomous systems and weapons, advanced sensors and seekers, signal processing and automatic target recognition and acquisition. Prior to arriving at DARPA, Klausutis was the core technical competency lead for seekers and a fellow at the Air Force Research Laboratory Munitions Directorate where he led the research of radio frequency (RF) seeker technology, electro-optical/infrared (EO/IR) seeker technology, integrated sensing and processing technology, and the nature-inspired research team. Klausutis received his doctorate and master’s degrees in electrical and computer engineering from the Georgia Institute of Technology, and a Bachelor of Science in electrical engineering from Florida State University.

Sarvapali (Gopal) Ramchurn, PhD

Professor

University of Southampton

Topic

Preventing Irresponsible AI: an interdisciplinary research challenge

Bio

Sarvapali (Gopal) Ramchurn is Professor of Artificial Intelligence at University of Southampton, CEO of the £31M Responsible Ai UK programme and Director of the UKRI Trustworthy Autonomous Systems (TAS) Hub, which sits at the centre of the £33M Trustworthy Autonomous Systems Programme. He is also co-founder and co-CEO of the AI start-up Empati Ltd, which delivers solutions for real-time carbon accounting across grid, generation and consumption. His research focuses on the design of Responsible Artificial Intelligence for socio-technical applications including energy systems and disaster management, applying techniques from Machine Learning, HCI and Game Theory. He has won multiple best paper awards for his research and is a winner of the AXA Research Fund Award (2018) for his work on Responsible Artificial Intelligence.

Stefan Wrobel, PhD

Professor / Institute Director

University of Bonn / Fraunhofer IAIS

Topic

Bio

Prof. Dr. Stefan Wrobel is Director of the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Professor of Computer Science at University of Bonn and Bonn Director of the Lamarr Institute for Machine Learning and Artificial Intelligence, permanently funded as part of the German AI excellence initiative. Stefan Wrobel studied computer science and artificial intelligence in Bonn and at Georgia Tech in Atlanta, USA, and obtained his PhD at University of Dortmund. After holding positions in Berlin and Sankt Augustin and being co-founder of a data analytics startup, he was appointed Professor of Computer Science at Magdeburg University before taking up his current position. Prof. Wrobel was recognized as one of Germany’s 10 most influential AI scientist by the German Computer Society, and was recently awarded as a GI fellow and member of the NRW Academy of Sciences.

Jeffrey B. Bolkhovsky, PhD

Research Scientist

Naval Submarine Medical Research Laboratory

Topic

Operational Trust in Mission Autonomy (OPTIMA): A sociotechnical systems approach to perceived trust

Bio

Jeffrey B. Bolkhovsky received the B.S. and M.S. degrees in biomedical engineering from the Worcester Polytechnic Institute, in 2011 and 2014, respectively, and the Ph.D. degree in biomedical engineering from the University of Connecticut, in 2017. His doctoral research focused on use of cognitive modeling and physiological measures to track cognitive performance decrement due to fatigue.,From 2017 to 2018, he worked at Leidos, as a Research Scientist. Since 2018, he has been working as a Research Physiologist with Naval Submarine Medical Research Laboratory. His research interests include physiological monitoring, cognitive performance changes due to stress, auditory signal processing, and human systems integration with autonomous systems.

Jensan Sehault, MB BCh BAO, MSc, MS, MD

Consultant / Assistant Professor

Mayo Clinic

Topic

Balancing Innovation and Safety: AI/ML Integration in Clinical Laboratory Diagnostics

Bio

Jansen N Seheult, MB BCh BAO, MSc, MS, MD is a Consultant and Assistant Professor in the Divisions of Hematopathology and Computational Pathology & AI, Department of Laboratory Medicine and Pathology, at Mayo Clinic - Rochester. As Medical Director of Digital Pathology and Artificial Intelligence in the Division of Hematopathology, Dr. Seheult leads the development, evaluation, implementation and monitoring of AI and automation workflows for blood cancer diagnostics. His group has recently demonstrated the accuracy and feasibility of human-in-the-loop AI/ML for quantifying low level clonal populations (measurable residual disease or MRD) in blood cancers by flow cytometric immunophenotyping. This work has resulted in cloud and on prem deployments of ML pipelines for MRD quantification by flow cytometry in a large reference laboratory.