SEAS Welcomes its Latest Faculty Members

Cybersecurity, quantum computing, machine learning, and fluid mechanics are just some of the subjects of expertise of recent SEAS faculty hires in the Electrical Engineering, Mechanical Engineering and Materials Science, and Computer Science Departments.

In the last few years, the Computer Science Department has expanded by nearly ten faculty members with plans for additional hires to arrive next July, further increasing the Department’s size and research depth.

Charalampos Papamanthou
Associate Professor of Computer Science

Ph.D., Brown University
M.Sc., Brown University
M.Sc., University of Crete
B.Sc, University of Macedonia

Papamanthou’s research focuses on computer security and applied cryptography. In particular some of his current projects include verifiable and privacy-preserving computations, with applications to cloud computing security, leakage-abuse attacks on searchable encryption systems, private and scalable blockchains and cryptocurrencies, as well as building real-world privacy-preserving systems. Before joining Yale, Papamanthou was an associate professor at University of Maryland College Park’s Department of Electrical & Computer Engineering and served as the Director of the Maryland Cybersecurity Center. 

Yongshan Ding
Assistant Professor of Computer Science

Ph.D., University of Chicago
B.Sc., Carnegie Mellon University

Ding's research interests include computer architecture and algorithms in the context of quantum computing and artificial intelligence; theory and application of quantum error correction; and quantum hardware/software interface. Ding is a recipient of the Siebel Scholarship and the William Rainey Harper Dissertation Fellowship and author of the book, “Quantum Computer Systems: Research for Noisy Intermediate-Scale Quantum Computers” (2020) with Frederic T. Chong. 

Dionysis Kalogerias
Assistant Professor of Electrical Engineering

Ph.D., Rutgers, The State University of New Jersey
M.Eng., University of Patras, Greece
M.Sc. University of Patras, Greece

Kalogerias’ interests are in machine learning, reinforcement learning, optimization, signal processing, sequential decision making, and risk, as well as their applications in autonomous networked systems, wireless communications, security/privacy, and system robustness and trustworthiness. Prior to joining Yale, Kalogerias spent one year as an assistant professor at Michigan State University’s Department of Electrical and Computer Engineering and has won numerous awards including the ICASSP Best Paper Award in 2020. 

Amir Pahlavan
Assistant Professor of Mechanical Engineering and Materials Science

Ph.D., MIT
M.S., University of Illinois at Urbana-Champaign
B.S., University of Tehran

Pahlavan investigates problems at the intersection of physics, biology and engineering with applications in energy, environment, water resources and advanced materials. His focus is on understanding the physicochemical hydrodynamics of interfacial transport phenomena in complex and disordered environments. Prior to Yale, Pahlavan was a postdoctoral researcher at Princeton University, where he studied phase change in multicomponent mixtures and transport phenomena in complex media. His work has been featured in numerous news outlets including Physics Magazine, Quanta Magazine, PNAS, Physics Focus, and MIT News