Computer Vision

Jiaqi Li

Dr. Jiaqi Li’s research interests include industrial decarbonization of materials, such as concrete and hydrogen, for civil and energy infrastructure through the use and generation of renewable energy and carbon capture, utilization, and storage. His research uses in-house experimental results to validate modelling work and uses machine learning tools such as regression, clustering, network analysis, ...

Tomer Stern

Our lab is dedicated to understanding the complex choreography of cells as they organize during early animal development, giving rise to diverse organ morphologies. We achieve these through genetic manipulation, advanced microscopy, and computational data analysis, in two different model systems: the mouse skeletal system, and the early fruit fly embryo. Most of our work ...

Carol Menassa

My group’s research focuses on understanding and modeling the interconnections between human experience and the built environment. We design autonomous systems that support wellbeing, safety and productivity of office and construction workers, and provides them opportunities for lifelong learning and upskilling. In all research projects, we work hard to ensure that the results are inclusive ...

Mohamed Abouelenien

Mohamed Abouelenien’s areas of interest broadly cover data science topics, including applied machine learning, computer vision, and natural language processing. He established the Affective Computing and Multimodal Systems Lab (ACMS) which focuses on modeling human behavior and developing multimodal approaches for different applications. He has worked on a number of projects in these areas, including ...

Cheng Li

My research focuses on developing advanced numerical models and computational tools to enhance our understanding and prediction capabilities for both terrestrial and extraterrestrial climate systems. By leveraging the power of data science, I aim to unravel the complexities of atmospheric dynamics and climate processes on Earth, as well as on other planets such as Mars, ...

Michael Sjoding

Application of machine learning and artificial intelligence in healthcare, particularly in the field of pulmonary and critical care medicine. Deep learning applied to radiologic imaging studies. Physician and artificial intelligence interactions and collaborations. Identifying and addressing algorithmic bias. Accomplishments and Awards AI guardrails can fall short in health care: study

Mark Draelos

My work focuses on image-guided medical robots with an emphasis on clinical translation. My interests include medical robotics, biomedical imaging, data visualization, medical device development, and real-time algorithms. A major ongoing project is the development of robotic system for automated eye examination. This system relies on machine learning models for tracking and eventually for interpretation ...

Rebecca Lindsey

Research in the Lindsey Lab focuses on using simulation to enable on-demand design, discovery, and synthesis of bespoke materials. These efforts are made possible by Dr. Lindsey’s ChIMES framework, which comprises a unique physics-informed machine-learned (ML) interatomic potential (IAP) and artificial intelligence-automated development tool that enables “quantum accurate” simulation of complex systems on scales overlapping ...

Chuan Zhou

With a passion for developing decision support systems that integrate cutting edge techniques from artificial intelligence, quantitative image analysis, computer vision, and multimodal biomedical data fusion. Research interests have been focusing on characterizing diseases abnormalities and predicting their likelihood of being significant, with the goal to enable early diagnosis and risk stratification, as well as ...

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Mohamed Abouelenien

Associate Professor, College of Engineering and Computer Science

Laura Balzano

Associate Professor, EECS, College of Engineering

Jason Corso

Associate Professor, EECS, College of Engineering

Mark Draelos

Assistant Professor, Robotics

Negar Farzaneh

Research Investigator, Emergency Medicine

David Fouhey

Assistant Professor, Electrical Engineering and Computer Science

Anhong Guo

Assistant Professor, Computer Science & Engineering

Lubomir Hadjiyski

Professor, Department of Radiology

Todd Hollon

Assistant Professor, Department of Neurosurgery