By Dave DeFusco
Katz School faculty and students will join other academic, industry and governmental leaders from around the globe to present transformative ideas at the crossroads of health and technology at the IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE) from June 24 to 26 at 成人视频色情片 Museum.
Two of the conference鈥檚 most critical sessions will be chaired by Katz School faculty, affirming the school鈥檚 thought leadership in the field. Dr. Honggang Wang, chair of the Department of Graduate Department of Computer Science and Engineering and a renowned figure in wireless health technologies, will chair the keynote session delivered by Dr. Wendy Nilsen, deputy division director at the National Science Foundation. Dr. Nilsen鈥檚 speech will explore the funding landscape and national priorities in smart health research鈥攁 topic that directly intersects with the Katz School鈥檚 mission to educate professionals at the convergence of data, health and engineering.
Dr. Ming Ma, assistant professor of computer science at the Katz School, will lead a session showcasing pioneering work in large language models and public health monitoring. These projects explore how artificial intelligence is transforming everything from electrolyte monitoring and clinical decision-making to symptom classification and explainable machine learning.
By leading these discussions, Katz School faculty are not only facilitating vital academic exchange but reinforcing the school鈥檚 standing as a national hub for next-generation health technologies. During a short paper session, Lakshmi Priya Ramisetty, a student in the M.S. in Artificial Intelligence, will present her research on optimizing veterinary language models using the cutting-edge Mamba architecture. Her work, co-authored with Dr. Youshan Zhang, highlights the school鈥檚 strength in mentoring students to tackle real-world problems with rigorous AI methods.
Ramisetty鈥檚 contribution underscores a Katz School hallmark: hands-on, cross-disciplinary training that prepares students to lead in fields where few boundaries exist between computer science, engineering and healthcare.
This year鈥檚 sessions feature cutting-edge work from institutions across the globe: from secure federated learning and fairness-optimized synthetic EHR data to deep learning for non-invasive glucose sensing and wearable-based emotion recognition. In addition, there will be panels on women in computing, dementia detection and affective computing. These topics are not just theoretical鈥攖hey are core to Katz School curricula and research labs, many of which integrate wearable tech, privacy-preserving AI and mobile health innovation.
Connected health is not a single discipline鈥攊t鈥檚 a fusion of sensing technologies, AI, data science, bioengineering, ethics and clinical knowledge. That鈥檚 why Katz School faculty and students thrive in the CHASE community. The school鈥檚 programs are deliberately interdisciplinary, designed to prepare a workforce that can interpret streaming medical signals just as easily as it can manage secure cloud infrastructure or design an AI model to assist clinicians.
鈥淐HASE represents exactly the kind of ecosystem Katz is building,鈥 said Dr. Wang. 鈥淚t鈥檚 not enough to build great technology. We want to make sure it鈥檚 secure, scalable, reliable鈥攁nd most of all, usable by the people it鈥檚 meant to help.鈥
