Lab Members

Michail (Mihalis) Maniatakos

Lab Director

Mihalis is an Associate Professor of Electrical and Computer Engineering at NYU Abu Dhabi, and a Research Associate Professor at the ECE department of the NYU Tandon School of Engineering. He received his Ph.D., M.Phil. and M.Sc. from the Electrical Engineering Department at Yale University in 2012, 2010, and 2009 respectively. Prior joining Yale, he received his B.Sc. in Computer Science and M.Sc. in Embedded Systems from the University of Piraeus in 2006 and 2007 respectively. He is a Senior member of the IEEE.

Eduardo Chielle

Research Associate. Topic: Privacy-preserving Computation.

Eduardo holds a jointly-supervised Ph.D. in microelectronics from the Universidade Federal do Rio Grande do Sul (UFRGS) and in Informatics from the Universidad de Alicante (UA), a M.Sc. in computer science from UFRGS, and a five-year bachelor in computer engineering from the Universidade Federal do Rio Grande (FURG). Eduardo placed first in the TTTC’s McCluskey Best 2016 Latin American Ph.D. Thesis Contest for his work on microprocessor soft error mitigation. His interests include computer architecture, privacy-preserving computation, and fault tolerance, with focus in microprocessors.

Homer Gamil

4th year PhD Student. Topic: Privacy-preserving Computation.

Homer received his Bachelor of Science in Computer Engineering from New York University in Abu Dhabi (NYUAD). His research interests currently focus on privacy-preserving computation.

Manaar Alam

Post-Doctoral Associate. Topic: Machine Learning Security

Manaar holds a PhD degree in Computer Science and Engineering from the Indian Institute of Technology Kharagpur. He received the prestigious IBM PhD Fellowship award during his PhD. He also holds an MTech degree from the Indian Institute of Technology Dhanbad and a BTech degree from the Institute of Engineering Management Kolkata. He was also a Visiting Research Assistant for a brief time at Nanyang Technological University Singapore during his PhD. He is currently interested in various security aspects of Deep Learning techniques like fault-resistance, privacy leakages, adversarial attacks, model extraction, etc.

Christoforos Vasilatos

Research Engineer. Topic: Large Language Models, Natural Language Processing.

Christoforos holds a Masters degree in Electrical and Computer Engineering from the National Technical University of Athens in Greece. His research interests are concentrated in the field of Natural Language Processing, with a particular emphasis on utilizing statistics and machine learning techniques to identify text sources.

Mohammed Nabeel

Research Engineer/3rd year Ph.D. Student. Topic: Hardware Accelerators for Privacy-preserving Computation.

Mohammed Nabeel holds a Bachelors degree in Electrical and Electronics Engineering from the National Institute of Technology Calicut in India. His research interests currently focus on hardware accelerators for speeding up the computation of encrypted data in various FHE schemes.

Dunia J. Mahboobeh

Research Assistant. Topic: Large Language Models and Industrial Control Systems Security.

Dunia holds a Masters degree in Electrical and Computer Engineering from Khalifa University of Science and Technology in UAE. Her research interests are concentrated in the fields of Machine Learning and Industrial Control Systems security, currently working with Large Language Models.

Hithem Lamri

Research Assistant. Topic: Industrial Control Systems Security and Machine Learning Security.

Hithem Lamri received an engineering degree in Computer Science from the Higher National School Of Computer Science (ESI, formerly INI) in Algiers, Algeria, in 2023. His current research interests encompass various security and privacy aspects of machine learning techniques, including backdoor attacks, adversarial attacks, robustness, and differential privacy, etc.

Haiyan Jiang

Research Associate. Topic: Machine Learning Security and Privacy

Haiyan Jiang holds a PhD in Statistics from Nankai University China. Her research focuses on the security and robustness of machine learning algorithms and systems, addressing challenges such as privacy leaks, adversarial attacks, and model robustness. Prior to joining NYUAD, she was a Senior Research Fellow at MBZUAI, where she worked on developing energy-efficient AI algorithms. Earlier, she served as a Senior Research Scientist at Baidu Research, contributing to projects in statistical machine learning and optimization. During her PhD, she was a visiting scholar at HKUST.
Her research spans statistical methods and machine learning across a range of fields, and her work has been published in top conferences such as ICML, ICLR, and NeurIPS.