Industrial and Management Systems Engineering
IMSE New Faculty
Announcing New IE faculty (2026) at the 51°µÍø
The Department of Industrial and Management Systems Engineering welcomes our newest
faculty, Dr. Vittorio Giammarino, who holds a PhD in Systems Engineering from Boston
University and is currently finishing a two-year post-doctoral position in the Computer
Science Department at Purdue University. Dr. Giammarino holds an MSc degree in Systems
and Controls from the Technology University of Delft, The Netherlands, and a BSc in
Automation Engineering jointly from Tongji University, China, and Universita di Bologna,
Italy.
Dr. Giammarino’s research is focused on physics-informed reinforcement learning and
formal methods for policy learning in autonomous systems. His research sits at the
intersection of control theory and machine learning for sequential decision-making
under uncertainty in complex systems with emphasis on data efficiency, robustness
to distribution shift, and safety-constrained learning and control. Vittorio’s recent
and upcoming conference presentations are at NeurIPS, ICRA, CDC, and IFAC. His papers
have appeared/in-review with Journal/Transactions of Machine Learning Research (JMLR/TMLR),
IEEE Transactions on Intelligent Transportation Systems, among others.
New IE Faculty (2025) at the 51°µÍø
Dr. Sarper Aydin joined in fall 2025 as an Assistant Professor in the Department of Industrial and Management Systems Engineering at 51°µÍø. Dr. Aydin received a B.Sc. degree in Industrial Engineering from Bilkent University, Ankara, Turkey, in 2017. Before joining Texas A&M University, College Station, TX, USA, in 2019, where he obtained his Ph.D. degree in Industrial Engineering, Sarper was at Lehigh University, PA, as a PhD student. Dr. Aydin’s research is focused on decentralized control of multi-agent systems and game-theoretic learning with applications to assignment problems in autonomous robot teams. He finished his postdoctoral fellowship at the Harvard School of Engineering and Applied Sciences. His postdoctoral mentors are Dr. Stephanie Gil from Harvard University and Dr. Angelia Nedich from Arizona State University, where he also worked as a postdoctoral scholar during the academic year 2023-2024. Dr. Sarper published in journals including IEEE Transactions on Control Systems Technology, Automatica, and IEEE Control Systems Letters.
Dr. Alexander Semenov joined in fall 2025 as an Assistant Professor in the Department
of Industrial and Management Systems Engineering at the 51°µÍø.
He was a Research Assistant Professor in the Department of Industrial and Systems
Engineering at the Herbert Wertheim College of Engineering, University of Florida.
Dr. Semenov received a Ph.D. in Computer Science from the University of Jyväskylä,
Finland, and a M.S. degree in Electrical and Electronics Engineering from Saint-Petersburg
State Electrotechnical University, Russia. His research and teaching interests include
network science, social media analytics, design of efficient algorithms, analysis
of large datasets, optimization, and machine learning. He has co-authored over 70
peer-reviewed publications and has been a recipient of research grants from agencies
such as NIFA, USDA, AFOSR, and Business Finland. Dr. Semenov is an Associate Editor
of the Journal of Combinatorial Optimization, Energy Systems, and the IET Blockchain
journal. He is also a member of the editorial board of Scientific Reports.
New IE Faculty (2024) at the 51°µÍø
Dr. Juan S. Borrero joined the Department of Industrial and Management Systems Engineering at the 51°µÍø as an Associate Professor in Fall 2024. He holds a B.Sc. in Mathematics and a M.Sc. in Industrial Engineering, both from the University of Los Andes, Bogota, Colombia, and holds a Ph.D. in Industrial Engineering from the University of Pittsburgh (2017). His research interests are mainly in optimization under uncertainty. Methodologically, his focus is on bilevel, robust, network, and mixed-integer optimization, probability, and stochastic processes. He has focused on sequential hierarchical decision-making problems under uncertainty and learning, including applications such as smuggling interdiction, defender-attacker problems, and commit-or-defer problems. More recently, he has worked in applications such as preparedness and response against tornado hazards, UAV routing for intelligence, surveillance, and reconnaissance missions, influence problems in social networks, information discovery optimization, among others. His research has been funded by ONR, AFOSR, and by an NSF CAREER award and has been published in journals including Operations Research, INFORMS Journal on Computing, the European Journal of Operational Research, and Heredity, among others. He is also an Associate Editor of Omega.