Networks make the whole greater than the sum of its parts. Social networks, computer networks, and transportation networks are all examples of networks that are deeply enmeshed into our lives. CISE investigates fundamental research questions in networks, such as network formation and evolution, and interaction between network agents (which may be selfish or malicious). The questions are addressed through advances in the fields of optimization, control, distributed algorithms, and game theory. The theoretical methods are complemented by experimental work, which include testing of IoT and 5G network systems, deployment of networks of autonomous agents (e.g., robots, drones, and connected vehicles), design of neural networks for deep learning, federation of cloud computing systems, and data-driven methods to detect and thwart malicious behavior on the Internet.

CISE Students Win CSS TC 2024 Paper Prize

The committee for the Outstanding Student Paper Prize 2024 announced this year’s prestigious award recipients. Among six national nominations, one paper written by two CISE students stood out for its innovative contributions to the field of smart cities. Ehsan Sabouni and H.M. Sabbir Ahmad and their collaborators are exemplars of academic excellence and collaborative spirit. […]

SWIFT: Facilitating Spectrum Access by Noise Guessing

Wireless technologies play an essential role in enabling growth and prosperity in societies by supporting business, government, science and education, defense, and health sectors. The boom of connected Internet of Things (IoT) nodes and 5G wireless communications will lead to a many-fold increase in wireless data traffic. This data storm and connectivity-in-everything model will result […]

CAREER: Algorithms and Fundamental Limitations for Sparse Control

The proposal is to study the design of feedback control strategies which stabilize and steer systems by affecting them in only a few variables. The motivation comes from applications which are either large-scale or geographically distributed and therefore cannot be feasibly affected in many places. A primary motivating application is the control of metabolic chemical […]

Collaborative Research: CPS: Medium: An Online Learning Framework for Socially Emerging Mixed Mobility

Emerging mobility systems, e.g., connected and automated vehicles and shared mobility, provide the most intriguing opportunity for enabling users to better monitor transportation network conditions and make better decisions for improving safety and transportation efficiency. However, different levels of vehicle automation in the transportation network can significantly alter transportation efficiency metrics (travel times, energy, environmental […]

Faster, Greener, Cheaper, More Secure: Yazicigil’s GRAND Project Pushes Forward with New Funding

CISE Faculty Affiliate Professor Rabia Yazicigil (ECE)  and her MIT collaborators are on a roll. The multi-institutional team behind the GRAND universal decoder algorithm and its first realization in hardware have been awarded $5M in funding by the Defense Advanced Research Program Agency (DARPA) to continue developing revolutionary improvements to wireless communications. Alongside co-PIs Professor […]

Arslan Riaz awarded COMSNETS 2022 Best Research Demo Award

Arslan Riaz, PhD candidate (ECE), won the “Best Research Demo” award at the 14th International Conference on COMmunication Systems & NETworkS (COMSNETS 2022) January 3-8, 2022. Riaz demonstrated the first fully-integrated universal Maximum Likelihood Decoder in 40 nm CMOS using the Guessing Random Additive Noise Decoding (GRAND) algorithm. This novel technology provides a universal system for […]

Collaborative Research: SaTC: CORE: Medium: ONSET: Optics-enabled Network Defenses for Extreme Terabit DDoS Attacks

Distributed Denial of Service (DDoS) attacks continue to present a clear and imminent danger to critical network infrastructures. DDoS attacks have increased in sophistication with advanced strategies to continuously adapt (e.g., changing threat postures dynamically) and induce collateral damage (i.e., higher latency and loss for legitimate traffic). Furthermore, advanced attacks may also employ reconnaissance (e.g., […]