Lab Members

Prof. Rama Chellappa

Principal Investigator

Prof. Rama Chellappa is a Bloomberg Distinguished Professor with joint appointments in the Departments of Electrical and Computer Engineering and the Biomedical Engineering (School of Medicine) at the Johns Hopkins University (JHU). Prior to joining JHU in August 2020, he was a Distinguished University Professor and a Minta Martin Professor of Engineering at the University of Maryland (UMD), College Park, MD. He received the B.E. (Hons.) degree in Electronics and Communication Engineering from the University of Madras, India in 1975 and the M.E. (with Distinction) degree from the Indian Institute of Science, Bangalore, India in 1977. He received the M.S.E.E. and Ph.D. Degrees in Electrical Engineering from Purdue University, West Lafayette, IN, in 1978 and 1981 respectively. During 1981-1991, he was a faculty member in the department of EE-Systems at University of Southern California (USC). During 1991-2020, at UMD, he was a Professor of Electrical and Computer Engineering (ECE) and an affiliate Professor of Computer Science at University of Maryland (UMD), College Park. He was also affiliated with the Center for Automation Research, the Institute for Advanced Computer Studies (Permanent Member) and the Applied Mathematics and Scientific Computing Program. His current research interests are computer vision, machine learning, artificial intelligence with applications in face recognition, 3D modeling from video, image and video-based recognition of objects, events and activities, medical imaging, domain adaptation and generalization.

Carlos D. Castillo

Associate Research Professor

Carlos D. Castillo (PhD, UMD, 2012) is currently an associate research professor at the Electric and Computer Engineering Department at Johns Hopkins University. Prior to that he was assistant research scientist at the University of Maryland (2014-2020). He has done extensive work on face and activity detection and recognition for over a decade and has both industry and academic research experience. He received his PhD in Computer Science from the University of Maryland, College Park where he was advised by Dr. David Jacobs. He was involved with the UMD teams in IARPA JANUS (2014-2020) and IARPA DIVA (2017-). He was recipient of the best paper award at the International Conference on Biometrics: Theory, Applications and Systems (BTAS) 2016. The software he developed under IARPA JANUS has been transitioned to many USG organizations, including Department of Defense, Department of Homeland Security, and Department of Justice. In addition, the UMD JANUS system is being used operationally by the Homeland Security Investigations (HSI) Child Exploitation Investigations Unit to provide investigative leads in identifying and rescuing child abuse victims, as well as catching and prosecuting criminal suspects. The technologies his team developed provided the technical foundations to a spinoff startup company: Mukh Technologies LLC which creates software for face detection, alignment and recognition. In 2018, Dr. Castillo received the Outstanding Innovation of the Year Award from the UMD Office of Technology Commercialization. His current research interests include face and activity detection and recognition, high reliability AI systems and accountable deep learning.

Prithviraj Dhar

Graduate Research Assistant

I’m a Ph.D. student at the Dept. of Computer Science at JHU. I got my masters in CS from UMD, College Park. I completed my B.Tech. from Institute of Engineering and Management (IEM), Kolkata in 2017. My research interests include: Computer vision, machine learning, deep learning applied to activity recognition, facial analysis and medical imaging. I’m also interested in interpretability of deep networks and mitigating bias in deep neural networks.

Kaan Elgin

PhD Student

I am a PhD student in Computer Science department at Johns Hopkins University. Before that I got my B.S. from Bilkent University and M.S. from University of Maryland College Park, both in Computer Science.

Pirazh Khorramshahi

Graduate Research Assistant (MSc)

Pirazh Khorramshahi received the B.Sc. and M.Sc. degrees in electrical engineering from the Department of Electrical Engineering, Sharif University of Technology (SUT), Tehran, Iran, in 2013 and 2015, respectively. After earning his second M.Sc. degree from the department of Electrical and Computer Engineering at University of Maryland, College Park, he is pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, Johns Hopkins University, MD, USA. His research interests are broadly in Computer Vision, Statistical Pattern Recognition, Machine learning and Signal Processing.

Jiang Liu

Ph.D. student

I am a second-year Ph.D. student in the Department of Electrical and Computer Engineering, Johns Hopkins University. I am currently working on adversarial robustness of deep neural networks. My advisor is Dr. Rama Chellappa.

Cheng Peng

Graduate Research Assistant

Cheng Peng is a first-year PhD student at Johns Hopkins University. He received his M.S. degree in Electrical and Computer Engineering from the University of Maryland in 2019. His research interests include areas in medical image analysis such segmentation, enhancement, analysis, etc. He has authored peer-reviewed papers in conferences such as CVPR and MIDL.

Samuel Chun Pong Lau

Graduate Research Assistant

Samuel Chun Pong Lau received the B.Sc. degree in Mathematics at The Chinese University of Hong Kong (CUHK) in 2016, the M.Phil. degree in Mathematics at CUHK in 2018 and the M.S. degree in Applied Mathematics at University of Maryland, College Park. He is currently working towards the Ph.D. degree in Computer Science at Johns Hopkins University. His research interests include image restoration, face recognition, adversarial robustness and deep learning.

Aniket Roy

Graduate Research Assistant

Aniket is a Ph.D student in the department of Computer Science, Johns Hopkins University. Previously he received the M.S. degree in research from the Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur. His primary research interests include computer vision, machine learning and digital forensics.

Anshul Shah

Graduate Research Assistant

I am Ph.D. student in the Computer Science department working on problems in Computer Vision and Machine Learning. My primary research interests are Video understanding and action recognition. I obtained an MS in Computer Science from University of Maryland, College Park where I worked on projects related to pose based action recognition, self-supervised learning and interpretability. Before that I obtained B.Tech and M.Tech in Electrical Engineering from IIT Madras where I worked on video generation from blurred images.

Ketul Shah

Graduate Research Assistant

I am interested in working at the intersection of computer vision, machine learning and computer graphics. I have worked on projects related to multimodal activity detection, generative models for 3D shapes, photorealistic image synthesis, among others. I obtained a MS in ECE from University of Maryland, College Park and previously completed my Dual Degree in Electrical Engineering (with a minor in Operations Research) from IIT Madras, where I worked at the Computational Imaging Lab under Prof. Kaushik Mitra.

Vineet R. Shenoy

Graduate Research Assistant

Vineet is a currently a research assistant working with Professor Rama Chellappa. His research interests include computer vision and signal processing. He is originally from West Windsor, New Jersey and completed his undergraduate work at Rutgers University – New Brunswick.

Hossein Souri

Graduate Research Assistant (MSc)

Hossein is a Ph.D. student in Computer Science at Johns Hopkins University. Before joining JHU, he obtained his M.S. in Electrical and Computer Engineering at University of Maryland, College Park. He is a machine learning and computer vision researcher working on various topics including adversarial attacks and defenses, GANs, face recognition, image restoration, segmentation, and activity recognition.

Gina Wong

Graduate Research Assistant