
The director of the SERS Lab is Prof. Samah Mohamed Ahmed Saeed, who is an assistant professor in the electrical engineering department at Grove School of Engineering at CCNY, City University of New York. Prof. Saeed received her Ph.D. in the Computer Science and Engineering Department, New York University Tandon School of Engineering. Her research interests include the security and the reliability of quantum systems, hardware security, and testing VLSI circuits. Her research has been recognized through several awards including the best paper award at IEEE VLSI Test Symposium, the Pearl Brownstein Doctoral Research Award by NYU Polytechnic School of Engineering, and the TTTC’s E.J. McCluskey Best Doctoral Thesis Award at the IEEE International Test Conference.

Gopika Kizhuvettil is a Ph.D. student in the electrical engineering department at Grove School of Engineering, City College of New York (CCNY), part of the City University of New York (CUNY). She earned her Master’s degree in Computer Engineering from the University of Houston-Clear Lake. Her research interests span across Quantum Computing, Artificial Intelligence, and Image Processing.

Donald Lushi is a graduate student at CUNY Graduate Center pursuing his Doctorate in Computer Science, following his Master’s degree in Computer Engineering from The City College of New York. His research interests include Quantum Computing, Machine Learning, and Cyber Security.

Christian Rasmussen is an electrical engineering PhD student at the Grove School of Engineering. As an assistant researcher at SERS, he develops reliable methodologies for quantum circuit security and compilation for near-term quantum computing. Additional interests lie in machine learning, high-performance computing, scientific simulation, and advanced linear algebra.

Sriram is a graduate student at CUNY Graduate Center pursuing his Doctorate in Computer Science. His research interests include the fusion of quantum science and AI.

Ana Rojas is a Master’s student in Computer Engineering at The City College of New York. Her research interests focus on quantum circuit compilation.

Kamil is a fourth year Physics student at The City College of NY in the Division of Science. His research interest focuses on Quantum Circuit Compilation.

Everett is a High School student from Hunter College High School. His research interest focus on Quantum Circuit Compilation and Machine Learning.

Aarya Balakrishnan is a high school student at Stuyvesant High School. Her research focus includes Quantum Benchmarking.

Isbel M. Guerrero is a high school student at Gregorio Luperón High School. Her research concentrates on quantum circuit benchmarking. Additionally, her interests include chemistry, biology and exploring emerging technologies through research.

Yasmell Carrasco is a high school student at Bronx Prep High School. Her research focus includes Quantum Benchmarking.

Mohammad Walid Charrwi is a Ph.D. Alumni in Electrical Engineering at Grove School of Engineering, City College of New York (CCNY). During his time at SERS, he was a Research Assistant working on quantum compilation optimization for near-term quantum computing, enhancing fidelity spanning quantum computing and AI Accelerators (TPU) using Machine Learning. He also received the first position for CSAW’22 US-Canada competition in the HardwareVsHuman Division. He also served as an Adjunct Lecturer at the CS department in CCNY since Fall 2022. Additional research interests include Hardware Trojans Security, AI Accelerators and High-Performance computing.

Georgios Ioannou is a master student pursuing a MS degree in Data Science at New York University Center for Data Science. He earned his BS degree in Computer Science from The City College of New York while minoring in Mathematics. He was the Grove School of Engineering 2024 Valedictorian and earned the Engineering Alumni Medalist for The Grove School of Engineering Department of Computer Science. As a researcher at SERS, he builds and fine tunes Graph Neural Networks for fidelity prediction. Outside SERS, he aspires to leverage artificial intelligence techniques to improve brain tumor understanding, diagnosis, and treatment.