Data Science and Intelligent Systems
Concepts and techniques from data science and intelligent computing are being rapidly integrated into many areas of Electrical and Computer Engineering (ECE), in particular by exploiting new developments in machine learning. Areas such as computer and robot vision, computational imaging, and biometric recognition greatly benefit from recent advances in deep learning. Computational biology and computational neuroscience rely on advanced data science methods to process the vast amounts of information produced by novel sensing modalities, with the ultimate goal of delivering personalized medicine. Transportation and energy networks, as well as the emerging Internet of Things (IoT) infrastructure, heavily rely on intelligent, distributed computing to manage various forms of congestion and other anomalies. To support such intensive data processing, specialized hardware, software, and computer architecture are essential. Research activities in Data Science and Intelligent Systems span a wide range of topics, and also complement and enhance the ECE Department’s synergies with the Division of Systems Engineering, the Hariri Institute, and the Faculty of Computing and Data Sciences. A vibrant organizational unit in this research area is the Information and Data Sciences (IDS) group, which brings together faculty and students with interests in the sensing, communicating, and processing of various forms of information. We invite you to explore our research activities, meet our teams, and read about our success stories by visiting the faculty, lab and research center pages below.
Affiliated Faculty
John Baillieul, Kayhan Batmanghelich, Calin Belta, Margrit Betke, Christos Cassandras, David Castañón, Ashok Cutkosky, Emiliano Dall’Anese, Robert M. Gray, Prakash Ishwar, Ajay Joshi, W. Clem Karl, Janusz Konrad, Brian Kulis, Wenchao Li, Thomas Little, Hamid Nawab, Bobak Nazer, Eshed Ohn-Bar, Alex Olshevsky, Ioannis Paschalidis, Venkatesh Saligrama, Stan Sclaroff, Archana Venkataraman, Tianyu Wang
Affiliated Labs
- AI Photonics Lab
- Control of Discrete Event Systems
- Data Science and Machine Learning
- Dependable Computing
- Information and Data Sciences
- Integrated Circuits, Architecture, and Systems
- Multimedia Communications
- Network Optimization and Control
- Neural Systems Analysis Laboratory
- Visual Information Processing
Affiliated Research Centers
- Center for Computational Science
- Center for Information and Systems Engineering
- Computational Neuroscience
- Data Science Initiative
- Division of Systems Engineering
- Lighting Enabled Systems and Applications NSF ERC
- Rafik B. Hariri Institute for Computing and Computational Science & Engineering
- Rajen Kilachand Center for Integrated Life Sciences & Engineering
- Robotics & Autonomous Systems Teaching Innovation Center
In the news:
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May 13, 2025
Building The Future – Ask Us How!
How five BU ECE researchers teamed up with Boston’s Museum of Science to share their scientific expertise with the next generation. [ More ]
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April 2, 2025
The Image of Accomplishment
Professor Janusz Konrad has been elected to the rank of 2025 Fellow of the European Association for Signal Processing (EURASIP) for his contributions to visual motion analysis and video processing. [ More ]
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March 26, 2025
Honored from Within
College and University Shower Awards on ECE Faculty [ More ]
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November 6, 2024
Lightspeeding A.I.
ECE professor's trailblazing startup shines light on energy efficient AI infrastructure. [ More ]
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October 31, 2024
New AI/ML Awards, from Google to BU ECE
Three ECE faculty members were among the first recipients of Google’s inaugural Academic Research Awards (GARA) this fall, recognizing their groundbreaking work in AI and machine learning. [ More ]