Ioannis Paschalidis, PhD Distinguished Professor of Engineering (ECE, BME, SE);
Director, Rafik B. Hariri Institute for Computing and Computational Science and Engineering
Education PhD, Massachusetts Institute of Technology, 1996Primary Appointment Professor, Electrical and Computer Engineering
In the News
April 29, 2025
From measles, to influenza, to mpox, to malaria—infectious diseases outbreaks are happening all over the world, at nearly all times. For health professionals and public health officials, staying up-to-date with pathogens that are particularly dangerous—or have the potential to become a pandemic, like COVID-19 did—is vitally important to help keep us all safe. But accessing real-time information on outbreaks, as they pop up around the globe, isn’t always simple; currently, much of it is aggregated by hand. [ More ]
Areas of Interest Artificial Intelligence and Machine Learning
Optimization and Control
Stochastic Systems
Computational Biology and Medicine
Network Systems
Robotics and Autonomy
Publications
Honors and Awards • Distinguished Professor of Engineering, Boston University
• Outstanding Research Collaborator Award, Department of Medicine, Chobanian
& Avedisian School of Medicine, Boston University (2024)
• Distinguished Member, IEEE Control Systems Society (2024)
• Asia-Pacific Artificial Intelligence Association Fellow (2024)
• International Federation of Automatic Control (IFAC) Fellow (2022)
• Charles DeLisi Award and Lecturer, College of Engineering, Boston University (2020)
• Recipient of several best paper awards
• IEEE Fellow (2014)
• Founding Editor-in-Chief, IEEE Transactions on Control of Network Systems (2013-2019)
• Plenary and semi-plenary speaker at several conferences and symposia
• Supervised students who won an IEEE Computer Society Crowdsourcing Prize, an IBM/IEEE Smarter Planet Challenge Award, a WiOpt Conference Best Student Paper Award, and several BU Engineering and Departmental best dissertation awards
• Invited Participant, 12th Annual National Academies Keck Futures Initiative (NAKFI) conference (2014)
• Invited Participant, U.S. Frontiers of Engineering Symposium, National Academy of Engineering (2002)
• NSF CAREER Award (2000)
Classes Taught EK 381 Probability Theory in Electrical and Computer Engineering
EC 503 Introduction to Learning from Data
EC/SE 524 Optimization Theory and Methods
EC/SE/ME 724 Advanced Optimization Theory and Methods
Additional Affiliations Division of Systems Engineering
Department of Biomedical Engineering
Faculty of Computing & Data Sciences
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