Dr. James Ghawaly Jr. is an Assistant Professor of Computer Science & Engineering at Louisiana State University (LSU), where he researches modern and emerging machine learning techniques, with applications to national security. He also holds joint appointments with the LSU Center for Computation and Technology (CCT) and the LSU Office of Academic Affairs (OAA). Prior to LSU, he was a staff research data scientist at Oak Ridge National Laboratory (ORNL). In the past 5 years, he has led over $2m in research efforts to develop deep learning and neuromorphic computing approaches for national security challenges, sponsored by DOE NNSA, DHS CWMD, DTRA, and other federal government agencies. Dr. Ghawaly has developed deep learning approaches to signature detection in low signal-to-noise ratio sensor data streams, multimodal data fusion algorithms (imagery, LiDAR, text, time series sensor data) for object detection and characterization, LLMs for cybersecurity applications, and multimodal contrastive learning approaches for object similarity detection. At LSU, he teaches a courses on large language models (LLMs), deep learning, and foundation models for undergraduate upperclassman and graduate students.

DAVID WEHE is Professor of Nuclear Engineering and Radiological Sciences at the University of Michigan. He worked at the Oak Ridge National Laboratory as a Wigner Fellow and served as Director of the Michigan Phoenix Memorial Project, which included the 2-MW Ford Nuclear Reactor. His teaching and research have focused on applied radiation measurements, as an editor for Nuclear Instruments and Methods in Physics Research and general chair of the SORMA international conference series.

Paul O’Connor is senior scientist and Division Head in Instrumentation at Brookhaven National Laboratory. He attended Brown University, earning a master’s degree in electrical engineering in 1977 and a Ph.D. in physics in 1980. He joined AT&T Bell Laboratories as a member of the technical staff in 1980 and arrived at Brookhaven Lab in 1990. His research focus is low-noise readout electronics for radiation detectors, signal processing, and detector systems. He is author on more than 150 publications and has seven patents for microelectronic and detector technologies..

Scott S. Hsieh is an Assistant Professor of Radiology at Mayo Clinic Rochester. Dr. Hsieh’s work is primarily in the design of better x-ray detectors and CT systems, and spans the range from basic physics to clinical applications. His past contributions include improved on-chip corrections for photon counting detector non-idealities and dynamic bowtie filters for reducing radiation exposure on CT scanners. He is a past recipient of an NIH/NIBIB Trailblazer Award on x-ray system design and is supported by the NIBIB on other projects related to improved detector technologies.

Dr. Joyita Dutta is Professor with tenure in the Department of Biomedical Engineering at the University of Massachusetts Amherst. She received her BTech (Honors) from the Indian Institute of Technology (IIT) Kharagpur and MS and PhD from the University of Southern California. She directs the Biomedical Imaging and Data Science Laboratory (BIDSLab) at UMass Amherst, which develops signal processing and artificial intelligence (AI) techniques for image, graph, and time-series datasets. Her scientific contributions include the development of a broad range of tools for medical image enhancement and reconstruction with a focus on multimodality information integration. Her current research interests include developing AI approaches for the diagnosis and prognosis of Alzheimer’s disease. Dr. Dutta was the recipient of the 2016 SNMMI Tracy Lynn Faber Memorial Award and the 2016 IEEE Bruce Hasegawa Young Investigator Medical Imaging Science Award. Dr. Dutta has served as a member of the SNMMI AI Task Force and the Program Chair for the 2022 IEEE Medical Imaging Conference in Milan, Italy. She is the Immediate Past President of the SNMMI Physics, Instrumentation and Data Sciences Council (PIDSC). Her trainees at BIDSLab have been awarded prestigious extramural training grants from the SNMMI, IEEE, APS, and AAUW.

Wesley E. Bolch is Distinguished Professor of Biomedical Engineering and Medical Physics in the J. Crayton Pruitt Family Department of Biomedical Engineering at the University of Florida (UF). He serves as Director of ALRADS – the Advanced Laboratory for Radiation Dosimetry Studies at UF.  Dr. Bolch earned his BSE degree in environmental engineering in 1984, his ME and PhD degrees in radiological physics in 1986 and 1998, respectively, from the University of Florida.  He has been certified by the American Board of Health Physics since 1994 and licensed in Radiological Health Engineering by the Texas Board of Professional Engineers since 1992.  In 2011, Dr. Bolch was elected Fellow of both the Health Physics Society (HPS) and the American Association of Physicists in Medicine (AAPM). In 2020, he was inducted as Fellow of the American Institute for Medical and Biological Engineering. He has been a member of the Society of Nuclear Medicine’s Medical Internal Radiation Dose (MIRD) Committee since 1993, a member of the National Council on Radiation Protection and Measurements (NCRP) since 2005 and served on Committee 2 of the International Commission on Radiological Protection (ICRP) from 2005 to 2011.  He has served as a member of US delegation of the United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR) since 2015. Within the latter, he serves as Lead Coordinating Writer for the Expert Group on Second Primary Cancers following Radiotherapy. He has published over 290 peer-reviewed journal articles, co-authored/edited 27 books/book chapters, and served as author on two AAPM Report, three MIRD Monographs, three NCRP Reports, twelve ICRP Publications, one ICRU Report. Dr. Bolch has managed a broad research program including (1) NIH and DOE funded projects to construct high-resolution models of the skeleton to support dose-response studies in radionuclide therapy and radiation epidemiology, (2) NIH funded projects to develop scalable NURBS-based and voxel-based computational phantoms of adult and pediatric patients and associated software for organ dose assessment in nuclear medicine, computed tomography, interventional fluoroscopy, and radiotherapy, (3) private company funded projects to develop stereotactic kilovoltage x-ray treatments for age-related macular degeneration and glaucoma, and (4) CDC, DoD, and NIH funded projects in stochastic modeling of worker inhalation and gamma-ray exposures following radiological accidents and potential terrorist events. He is the recipient of the 2014 Distinguish Scientific Achievement Award by the Health Physics Society acknowledging outstanding contributions to the science and technology of radiation safety.

Marc Kachelrieß is Professor of X-Ray Imaging and CT at the German Cancer Research Center (DKFZ). He received his PhD from the Institute of Medical Physics in 1998 under the guidance of Dr. Willi A. Kalender. During this time, he developed reconstruction algorithms to reduce metal artifacts in x-ray CT and he introduced a new method that allows the generation of motion-free images of the human heart using standard CT data. In 2005 he was appointed Professor of Medical Imaging at the Friedrich-Alexander-University Erlangen-Nürnberg, Germany and in 2011 he moved to the German Cancer Research Center (DKFZ), Heidelberg, Germany, as Professor and Chair of the Division of X-Ray Imaging and Computed Tomography. His current research covers image reconstruction of CT data, artifact reduction methods, dose reduction techniques, and sophisticated calibration techniques. Marc Kachelrieß is author or co-author of more than 150 peer-reviewed publications and more than 200 conference proceedings, and he is the organizer of several conferences and workshops in the field of tomographic and high performance imaging.