Welcome Letter

Yufei Huang, Georgia Tourassi, Bjoern Eskofier

Research output: Contribution to journalEditorial

Funding

Dr 堀 Celikel 嬁? research is focused on reverse engineering the bcirraciunits and neural computations that are responsible for sensorimotor control, and forward engineering brain-inspired in silico circuits that perform active sensing, adaptive computations, and maples navigation. His research is regularly published in top scientific journals including Science, Science Robotics, PNAS, Nature Neuroscience among others. He is a Sloan Fellow (USA), Alexander von Humboldt Fellow (Germany), a Whitehall Investigator (USA), and a recipient of the young investigator award from the Italian Ministry of University, Scientific Research, and Technology. He also received the ?Cube Award ? and ?Team ?cience Award ? from Radboud University for his exemplary work to promote DEI and for founding the NeurotechEU to promote team research and education across Europe, respectively. Furthering our commitment to educational development, BHI 2023 offers special initiatives for students and postdoctoral fellows. Thanks to a grant from the National Science Foundation (NSF), we have provided travel awards to selected students to present their work at the conference. We are also hosting a data competition, a career panel, and a "Meet the BHI Leaders" session sponsored by IEEE Future Directions, the National Institute of Health (NIH) and Google to provide further opportunities for networking and career development. Panel: Meet the funding agencies Panelists: NSF: Mitra Basu (https://www.nsf.gov/staff/staff_bio.jsp?lan=mbasu&org=NSF&from_org=) NIH: Juli Klemm (https://cssi.cancer.gov/about-us/leadership/juli-klemm-phd) Moderator: Ranadip Pal (Room: Auditorium) CV: Dr. Wu is an Associate Professor with Tenure in the Department of Health Outcomes and Biomedical Informatics at the University of Florida (UF) College of Medicine. He also serves as the Director of Natural Language Processing (NLP) at UF Clinical and Translational Science Institute (CTSI) and OneFlorida+ Clinical Research Consortium. Dr 堀 ?u ?s primary research interests include clinical NLP, machine learning, and Electronic Health Record (EHR) based drug repurposing. He has worked on various challenging clinical NLP topics including large language models, prompt-based learning, text generation, patient information extraction, NLP-powered computable phenotyping, disease predictive modeling, and many other artificial intelligence (AI) applications in the medical domain. His work was supported by funding from the National Institutes of Health (NIH), Patient-Centered Outcomes Research Institute (PCORI), and Centers for Disease Control and Prevention (CDC). received the Ph.D. degree in Electrical Engineering from North Carolina State University, Raleigh, NC, USA, in 1992 and joined the faculty at UMBC the same year. Over the years, she has served the IEEE and the IEEE Signal Processing Society (SPS) in numerous capacities. She is currently the Chair of the IEEE Brain Technical Community, and served as the Signal Processing Society (SPS) Vice President for Technical Directions ?A??堀 ?he has been part of the organizing committees of many confereknscheospasnd wor including the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Technical Chair (2017), Special Sessions Chair (2018 and 2024), Publicity Chair (2000 and 2005), and Publications (2008). She was the General/Technical Chair for the IEEE Machine ?earning for ?ignal Processing 縀M??P 缀 and Neural Networks for ?ignal Processing 縀NN?P 缀 ?orkshops ?A? ? 唀 and 2014, and she is General Chair for 2023 MLSP. She served multiple terms in three technical committees of the SPS (NNSP/MLSP, Bio Imaging and Signal Processing, Signal Processing Theory and Methods) and chaired the NNSP/MLSP Technical Committee, 2003 ? 2005 and 2011 ? 2013. She served or is currently serving on the editorial board of multiple journals, including the IEEE Transactions on Signal Processing, Proceedings of the IEEE, and the IEEE Journal of Selected Topics in Signal Processing. Prof. Adali is a Fellow of the IEEE, AIMBE, and AAIA, a Fulbright Scholar, and an IEEE SPS Distinguished Lecturer. She is the recipient of the SPS Meritorious Service Award, Humboldt Research Award, IEEE SPS Best Paper Award, the SPIE Unsupervised Learning and ICA Pioneer Award, the University System of Maryland Regents' Award for Research, and the NSF CAREER Award.

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