Michael Grasso, MD, PhD, FACP, FAMIA
Assistant Professor and Program Director
Michael Grasso is an Assistant Professor of Internal Medicine and Emergency Medicine at the University of Maryland School of Medicine, and an Adjunct Assistant Professor of Computer Science at the University of Maryland Baltimore County. He practices Emergency Medicine through the University of Maryland School of Medicine, and is the Director of the Clinical Informatics Program. He earned a medical degree from the George Washington University and a PhD in Computer Science from the University of Maryland Baltimore County. He completed residency training at the University of Maryland School of Medicine, is board certified in Clinical Informatics, and is a Fellow of the American College of Physicians (FACP) and the American Medical Informatics Association (FAMIA). He has chaired the Clinical Decision Support Working Group of the American Medical Informatics Association (AMIA). He has published more than 65 peer-reviewed manuscripts and abstracts, and has more than 25 years of experience teaching and working in Biomedical Informatics. His research interests include knowledge representation and reasoning, clinical software engineering, and quality improvement in emergency medicine.
Alfred W. Arsenault, Jr., MS
Alfred W. Arsenault, Jr. is a Principal Cybersecurity Engineer at the MITRE Corporation and an Adjunct Instructor of Computer Science at the University of Maryland Baltimore County. He received a Master of Information and Data Sciences degree from the University of California, Berkeley and a Master of Science degree in Statistics and Computer Science from Purdue University. He has more than 20 years of experience teaching Computer Science, including a year as a Visiting Professor of Computer Science at the United States Air Force Academy. His professional research interests include Cybersecurity, Cloud architectures as applied to 5G telephony, and Zero-Trust computing. His teaching specialties focus on teaching Computer Science to those who are not professional computer programmers. He is a Senior Member of the IEEE.
Patty Delafuente, PhD
Patty Delafuente, a Data Scientist for NVIDIA and an adjunct instructor with UMBC’s Department of Computer Science and Electrical Engineering (CSEE), is an AI Enthusiast and Data Scientist with over twenty years of database engineering, business intelligence, and analytics experience. She currently teaches Applied AI and Data Management classes for UMBC’s Graduate Data Science Program. She is a NVIDIA University Ambassador and is certified to teach several Nvidia Deep Learning Institute courses. She holds a Master of Science in Analytics from Texas A&M University and is a sitting member for their MS in Analytics Advisory Board. Patty is currently pursuing her PhD in Computer Science at UMBC. She is a frequent guest speaker at community data science related events.
Krishnaj Gourab, MBBS, FAMIA
Krishnaj Gourab is a Clinical Associate Professor in the Division of Physical Medicine and Rehabilitation, Department of Neurology at the University of Maryland School of Medicine. He is the Chief Medical Officer and the Medical Director of Informatics at the University of Maryland Rehabilitation & Orthopaedics Institute. He is also an Adjunct Associate Professor in the Biomedical Informatics and Data Science Program at the Johns Hopkins School of Medicine. He received his medical degree from Grant Medical College and has been in practice for more than 20 years. He is board certified in Physical Medicine and Rehabilitation and Clinical Informatics, and is a Fellow of the American Medical Informatics Association (FAMIA). He uses his training in informatics and his leadership role to build systems that enhance transparency and just culture in his organization.
Murat Guner, PhD
Murat Guner received his Ph.D. in 2019 from the University of Rochester, in New York. During his doctoral studies, he studied geometrical analysis. After finishing his Ph.D. he worked as the Lead Data Science Instructor at Flatiron School. His current interests include unstructured data in machine learning, especially NLP techniques and audio data.
Anupam Joshi, PhD
Anupam Joshi has been a Professor of Computer Science and Electrical Engineering (CSEE) at the University of Maryland, Baltimore County (UMBC) for more than a decade, teaching courses in Mobile Computing, Security, Social Media, and Operating Systems at the graduate and undergraduate levels. He is a principal faculty member in UMBC’s Ebiquity Research Group, a cohort of CSEE faculty and students who explore the interactions between mobile and social computing, artificial intelligence, data analytics, and security, privacy, trust and services. His own research interests deal with Intelligent Networked Systems, with a focus on Mobile Computing.
Richard Schnreiber, MD, FACP, FAMIA
Richard Schreiber recently retired as Associate Chief Medical Informatics Officer, Penn State Health Holy Spirit Medical Center in Camp Hill, PA. and a Professor of Medicine at the Geisinger Commonwealth School of Medicine. Previously he was Associate Chief Medical Informatics Officer, Geisinger Health System. He is immediate past-Chair of American Medical Informatics Association’s Clinical Information Systems Working Group. He is an informaticist, internist and hospitalist, geriatrician, educator, and researcher. He is board certified in Clinical Informatics, and is a Fellow of the American College of Physicians (FACP) and the American Medical Informatics Association (FAMIA). He received the AMDIS Special Recognition in Applied Clinical Informatics award in 2014. He has published over 50 peer-reviewed articles and book chapters. His clinical informatics research focuses on EHR transitions, clinical decision support, CPOE, drug-drug interaction alerting, documentation improvement, problem list curation, and CDS anomalies.
Ergun Simsek, PhD
Dr. Ergun Simsek earned his Ph.D. from Duke University in 2006 and worked as a post- doctoral research associate at Schlumberger Doll Research Center for the following two years. From 2008 to 2017, he was a faculty member at Bahcesehir University (Istanbul, Turkey) and the George Washington University (Washington, DC). In addition to teaching at both undergraduate and graduate levels, he also conducted research on scientific computing for different applications in electromagnetics, photonics, geophysics, material science, and data science. His research was supported by different agencies such as National Science Foundation, TUBITAK, and European Union Research Council. He has published more than 30 peer-reviewed journal papers and made more than 60 presentations at international conferences. He continues researching how to solve emerging engineering problems through efficient and robust computational techniques.
Waleed Youssef, PhD
Waleed Youssef is an adjunct instructor in the UMBC’s Department of Computer Science and Electrical Engineering (CSEE). He joined UMBC as an adjunct instructor teaching graduate level data science classes. He uses his 20+ years of experience in the IT industry to provide students with professional engineering experience and hands-on experience in the field. Dr. Youssef works at IBM, as a Chief Architect. He joined IBM in 2008 after earning his Ph.D. degree from UMBC in Computer Science. Dr. Youssef also has a Master’s degree in Computer Science from Penn State University. His undergraduate studies were in Computer Engineering.
Dr. Youssef has many published research papers in cognitive computer and wireless sensor networks. His current work areas include cloud architecture, data science, AI, and IoT. His areas of expertise include Cognitive Computing, Data Science, and Artificial Intelligence.