Research Seminar Series
Mitra Bokaei Hosseini, Ph.D.
Assistant Professor, Computer Science
St. Mary’s University
Date: Thursday, March 31, 2022
Time: 11 a.m. – 12 p.m.
Meeting Link: utsa.zoom.us/my/cybercenter (no registration required, but must sign in to zoom to access the meeting)
Presentation Title: On the Verifiability, Traceability, and Trustworthiness of Software Systems
Bio: Mitra Bokaei Hosseini, P.h.D., is an Assistant Professor of Computer Science at St. Mary’s University. Bokaei received her Ph.D. degree in May 2019 from the Department of Computer Science at University of Texas at San Antonio (UTSA). Bokaei came to the U.S. from Tehran, Iran, where she received her M.Sc. degree in Information Technology from K. N. Toosi University of Technology in 2011. She also received her B.Sc. in Information Technology from Qazvin Azad University. Bokaei has four years of experience in industry as Information Security auditor, where she was responsible for evaluating information systems and security controls. Bokaei’s research spans the areas of software engineering, requirements engineering, privacy, and natural language processing. Her goal is to ensure the verifiability, traceability, and trustworthiness in software systems by developing artifacts and tools that support the early stages of the software development life cycle. She mainly focuses on the collaborative software development environments that include stakeholders with diverse backgrounds (e.g., users, lawyers, requirement engineers, software programmers, etc.) and reusable software designs to ensure that a given requirement corresponds to the end-user’s desires.
Past Research Talks
|January 28, 2021||Sagar Samtani||Cybersecurity for Scientific Cyberinfrastructure|
|February 25, 2021||Samir Talegaon||TBD|
|March 25, 2021||Kirk Roberts||Use of Unstructured Free Text from Electronic Health Records Extracting Structure and Representing Patients|
|April 29, 2021||David Mohaisen||Malware Analysis and Detection Using Machine Learning|
|May 27, 2021||Yifan Peng||Clinical natural language processing and deep learning in assisting medical image analysis|
|September 30, 2021||Gongbo Liang||Adopting CNN in Clinical Practice is Hard: Potential Challenges of Medical Imaging Analysis with Modern Neural Networks|
|October 21, 2021||Dr. Walid Saad, Ph.D.|
|November 18, 2021||Dr. Halil Kilicoglu|