D.Sc. Information Technology, Dept. of Computer and Information Sciences, Towson University, 2020

MS in Information Technology, Towson University, 2014

BS, Mathematical Engineering program, Istanbul Technical University, Turkey

Biography:

Dr. Shirin Hasavari serves as an Assistant Professor in the Department of Information Science and Systems at the School of Business and Management at Morgan State University. She holds a doctoral degree in IT with a computer science track, a Master of Applied IT from Towson University, and a BS in Mathematical Engineering from Istanbul Technical University. Dr. Hasavari has taught a variety of courses in IT, CS, and IS since 2016. Driven by over a decade of hands-on industry involvement, she channels her passion towards cutting-edge areas such as Blockchain Technology, IT in Healthcare, and more recently, Artificial Intelligence. She is a member of IEEE and received Graduate Research Awards and a Terminal Degree Fellowship in the 2017 academic year. Her unwavering commitment to academic excellence and innovative research makes her a valuable contributor to the department. 

Dr. Hasavari has established a line of research at the intersection of information systems and health informatics, focusing on the impact of health information technology (HIT) on seamlessly sharing patients’ health information among healthcare providers, improving the quality and efficiency of care delivery, and enhancing patient care. Her primary research objective is to study the role of emerging technologies, including permissioned Blockchain technology and AI machine learning, to provide technological solutions for enhancing health information exchange (HIE) and enhancing patient identification among healthcare providers involved in Emergency Medical Services and interfacility transport care, aiming for better patient outcomes.

Research Interests:

Permissioned Blockchain Technology and Decentralized Databases; Use and Application of Information Technology in Healthcare including EMS; Artificial Intelligence - machine learning; Digital Twin Technology

Recent Publications:  

• Hasavari, S., & Esmaeilzadeh, P. (2024). Appropriately Matching Transport Care Units to Patients in Interhospital Transport Care: Implementation Study. JMIR Formative Research, 8(1), e65626.
  
  
• Hasavari, S., Maddah, M., & Esmaeilzadeh, P. (2024). Government Oversight and Institutional Influence: Exploring the Dynamics of Individual Adoption of Spot Bitcoin ETPs. AMCIS 2024,  Salt Lake City, Utah
  
  
• S. Hasavari*, Y. T. Song and B. Lawner, " Increase patients’ survivability During Emergency Care using blockchain-based Digital Twin Technology" 21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2023), Orlando, USA, May 23-25, 2023.  
  
  
• Hasavari, S., Osei-Tutu, K., & Song, Y. T. (2021). A Cross-Blockchain Approach to Emergency Medical Information. In Advances in Computer Vision and Computational Biology: Proceedings from IPCV'20, HIMS'20, BIOCOMP'20, and BIOENG'20 (pp. 549-568). Cham: Springer International Publishing.
  
  
• S. Hasavari*, Y.T. Song, Full version of a Secure and Scalable Data Source for Emergency Medical Care using Blockchain Technology, International Journal of Networked and Distributed Computing, Vol. 7(4); September (2019), p158–166
  
  
• S. Hasavari*, Y.T. Song, A Secure and Scalable Data Source for Emergency Medical Care using Blockchain Technology, the proceedings of IEEE SERA 2019, Hawaii, USA, Publisher: IEEE, 31 October 2019, DOI: 10.1109/SERA.2019.8886792
  
  
• K. Osei-tutu*, S. Hasavari*, Y.T. Song, Blockchain-based Enterprise Architecture for Comprehensive Healthcare Information Exchange (HIE) Data Management, The 2020 International Conference on Computational Science and Computational Intelligence, Las Vegas, USA