Title: HCI in IoT-based Modern Systems
Dr. Urjaswala Vora, Ph.D.
Urjaswala Vora is working as Associate Teaching Professor at the Pennsylvania State University since January 2022. Earlier she was working as Associate Director at the Centre for Development of Advanced Computing, an Autonomous Premier Research and Development Society of the Government of India. She has more than 25 years of project experience that includes delivery of projects in the domains of Smart Cities, Biometrics, eGovernance and Enterprise Architectures . She has taught and mentored undergraduate as well as graduate students for more than 23 years. Her research interests include Complex Systems, Software Architecture, Internet of Things, Distributed Computing and Software Engineering. She has a PhD in Computer Science and Engineering from IIT Bombay and a bachelor’s degree in computer science from the University of Pune.
Colleen M. Farrelly
Yashbir (Yash) Singh
Title: Medical Data Study: Exploring Text Embeddings through Machine Learning and Topological Data Analysis
Shael Brown, Ph.D. McGill University, Canada. Link for personal Webpage
Colleen M. Farrelly, MS Staticlysm LLC Link for personal Webpage
Yashbir (Yash) Singh, Ph.D., Mayo Clinic, USA Link for personal Webpage
Shael Brown is a PhD student at McGill University using topology to study the neural mechanisms of human vision. He has worked as a data scientist in the professional sports and energy sectors, focusing on applications of machine learning. His R software package, TDApplied, is the first publicly available toolbox for analyzing groups of persistence diagrams with published machine learning and statistical inference procedures.
Colleen M. Farrelly is an industry mathematician whose work focuses on applications of topology and geometry to machine learning. She received her MS in Biostatistics from University of Miami, where her research focused on topology-based psychometrics and dynamic systems. Her current research focuses on geometric and topological methods in natural language processing, network science, and generative AI. She’s worked a variety of fields, including healthcare, nuclear engineering, quantum computing, consumer goods, educational technology, and marketing. Her first book, The Shape of Data, focuses on machine learning from a geometric perspective. A second book focusing on network science applications is forthcoming.
Dr. Yashbir (Yash) Singh, Ph.D., is an Assistant Professor of Radiology at the Mayo Clinic, Rochester, MN. His accomplished career includes a role as a Medical Scientist at WVU Medicine, USA, a DAAD fellow, and he is an active member of the New York Academy of Sciences. Dr. Singh's research concentrates on deep learning-based artificial intelligence (AI) and topological data analysis within medical imaging, specifically enhancing the interpretability of AI models and discovering new disease imaging biomarkers.