Creating a Virtual Assistant for Software Engineers Researchers in the Department of Computer Science and Engineering are working to make the software development process more efficient by creating a virtual assistant for software engineers.
Creating a Virtual Assistant for Software Engineers
Developing a Novel Set of Concussion Diagnostic Tools The potential impact on the health of individuals with brain injuries are numerous. These individuals might display a range of symptoms that may persist for weeks or months. The effects of brain injuries are most devastating when they remain unrecognized for long periods of time.
Developing a Novel Set of Concussion Diagnostic Tools
Medical Imaging Technologies: Views to a Cure Emerging imaging technologies are being used to improve the quality of images available for more accurate diagnoses and treatment, assess radiation dosing, and find causes and cures for a variety of diseases.
Medical Imaging Technologies: Views to a Cure
Network Biology: Approaches for Understanding Cells The Complex Networks Lab develops novel computational methods for network analysis and uses them to study cellular functioning and molecular causes of disease from biological networks, in hope to suggest novel candidates for therapeutic intervention.
Network Biology: Approaches for Understanding Cells

Welcome to the Department of Computer Science and Engineering

Teaching and research efforts in the department encompass algorithms and theory; computer vision, artificial intelligence, and data mining; bioinformatics and computational biology; security; Web services; computer architectures; software engineering; and distributed systems and grid computing.

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Congratulations!  Yue Ma, PhD
Milestone - Pei Li, Oral Candidacy
“Visual debiasing”: An approach to mitigate cognitive bias in complex decision making
“Visual debiasing”: An approach to mitigate cognitive bias in complex decision making
October 29, 2018

Associate Professor Ron Metoyer and Poorna Talkad Sukumar, a graduate student in computer science and engineering, are addressing ways to mitigate cognitive biases in complex decision-making processes.

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Siddharth Joshi

Siddharth Joshi

VIEW FULL PROFILE Email: sjoshi2@nd.edu
Phone: 574-631-8380
Website: http://www.siddharth-joshi.com
Office: 326B Cushing Hall
Curriculum Vitae

Affiliations

College of Engineering Assistant Professor
Dr. Joshi's research develops extremely power efficient processors and circuits that can operate under severe resource constraints  such as sensors and processors used in the “Internet of Things” IOT. His group  explores hardware and software techniques  to enable adaptive and learning algorithms ...
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Siddharth Joshi

Dr. Joshi's research develops extremely power efficient processors and circuits that can operate under severe resource constraints  such ...
>Click to learn more