جست‌وجوی استاد و پژوهشگر

• Transfusion Medicine
• Hematology
• Biostatistics
• +۴ مورد دیگر

Na Li is an Adjunct Assistant Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. Her interdisciplinary research bridges computational methods with clinical hematology through extensive collaborations with transfusion medicine experts. Key contributions in biostatistical modeling for immune thrombocytopenia diagnosis Innovations in healthcare logistics for blood product management Pioneering AI-human collaboration frameworks for electronic health record analysis Her scholarly work spans machine learning applications in disease detection, operational research for blood inventory optimization, and clinical decision support systems development. Recent publications demonstrate integration of large language models with medical expertise for improved diagnostic accuracy. Notable research themes include: Pandemic resource allocation fairness Perioperative anticoagulant management Platelet transfusion analytics Blood product demand forecasting Privacy-preserving federated learning Her work has been cited extensively across transfusion medicine , critical care , and healthcare technology domains, with implementations in major clinical trials and policy documents.

Amir H. Chinaeiمشاهده پروفایل

دانشیار

• Computer Science Education
• Access Control Models with Adjustable Decentralization
• Data Security and User Privacy
• +۱ مورد دیگر

Amir H. Chinaei is an Associate Professor and Department Chair at the Department of Electrical Engineering & Computer Science at York University . He holds a Ph.D. in Computer Science from the University of Waterloo (2007), an MSc in Software Engineering from Amirkabir University of Technology, and a BSc in Software Engineering from Isfahan University. Ph.D. in Computer Science (University of Waterloo, 2007) MSc in Software Engineering (Amirkabir University of Technology) BSc in Software Engineering (Isfahan University) His research focuses on Computer Science Education , Access Control Models , Data Security , and Information Visualization . His publications emphasize security frameworks, privacy preservation in social media/health systems, and access control transitions to modern paradigms. He received the Teaching Excellence in Computer Science award at the University of Toronto and has coached over 100 students in developing information systems. His recent publications span topics from WordPress security to biometric authentication in healthcare. Teaching Excellence in Computer Science (University of Toronto) Additional contributions include curriculum development for software engineering programs, work-integrated learning initiatives, and projects like Decentralized Privacy Preservation in Social Networks and Biometric Access Control for e-Health Records .