High Performance Computing
High Performance Computing (HPC) integrates high end hardware with highly tuned software to solve complex scientific problems. HPC simplifies and accelerates substantial computational components in a number of essential fields, such as genome sequencing and molecular dynamics in computational biology or cyber physical domains. HPC also applies data driven and AI techniques to diagnose and solve performance challenges in HPC systems themselves. HPC research at CISE focuses on improving performance, reducing cost, and making the systems more energy efficient by applying intelligent and interdisciplinary methods. Research areas cross-cut design automation (EDA), computer architecture, computer systems, and applied machine learning.
Transforming Data Centers into Grid-Responsive Powerhouses
As AI continues its explosive growth, so does its energy demand, pushing the U.S. electric grid toward its limits. With the rise of increasingly complex AI models and cloud-based applications, data centers are becoming power-hungry giants. Projected to use up to 9% of U.S. power by 2030, data centers increasingly strain the grid, threatening the […]
Privacy Meets AI: Enabling Data Center Collaboration to Support Grid Stability
On May 19th, 2025, the Boston University Hariri Institute hosted the Focused Research Program (FRP) symposium titled “Data Center and Power Grid Interactions: Challenges and Opportunities,” highlighting the challenges associated with rising data center energy demands. The event brought together experts from engineering, energy systems, data centers, and privacy research to explore how massive AI-driven workloads […]
CISE Faculty Recognized for Groundbreaking AI Research with AIRR Awards
Recognized for their cutting-edge research in artificial intelligence, 11 CISE faculty affiliates have been honored with AI Research Resource (AIRR) awards. This Hariri Institute program supports AI research at Boston University by giving researchers access to the New England Research Cloud (NERC), a regional computing infrastructure that provides cloud-based resources tailored to academic research. A […]
Secretary of State John Kerry Visits CISE Director Ayse Coskun
On Thursday, February 6th, 2025, former Secretary of State John Kerry visited the Boston University Center for Information & Systems Engineering to meet with CISE Director and Professor Ayşe K. Coşkun (ECE, SE). Secretary Kerry was joined by Ambassador David H. Thorne, former Senior Advisor to the Secretary of State, and Varun Sivaram, Council on […]
CISE Hosts 11th Annual Graduate Student Workshop (CGSW 11.0)
Over 100 student and faculty attendees gathered on January 24th, 2025, for the 11th Annual Graduate Student Workshop hosted by the Center of Information and Systems Engineering (CISE). The day-long symposium featured doctoral students from different disciplines across Boston University’s College of Engineering presenting their original research. “CGSW aims to bring together CISE students, faculty, […]
Innovative Energy Efficiency: Fisheye Cameras in Smart Spaces
Imagine a bustling corporate office building where energy consumption needs to be balanced with maintaining a comfortable environment for employees. In such settings, traditional methods of regulating air handling systems can lead to inefficiencies and waste energy in unoccupied areas. This is where the research of Boston University Professors and CISE affiliates Thomas Little, Janusz […]
The Future of Driving: Control Barrier Functions and the Internet of Vehicles
The National Highway Traffic and Safety Association reports that 94% of serious car crashes are due to human error. Christos Cassandras, Boston University Distinguished Professor of Electrical & Computer Engineering, Head of the Division of Systems Engineering, and a co-founder of the Center for Information & Systems Engineering (CISE), has made monumental contributions to the […]
AI for Cloud Ops Project Featured in “Red Hat Research Quarterly”
Ayse Coskun (ECE) was featured on the cover of the “Red Hat Research Quarterly” (RHRQ) May 2022 issue. Coskun discusses the need for operations-focused research on real-world systems and how artificial intelligence (AI) can push analytics to the speed of software deployment. Coskun is one of the Principal Investigators on the project “AI for Cloud Ops,” which […]
Balancing electricity demands and costs of high-performance computing
Some computational problems are so complex that they require many times more calculations than a typical laptop can handle. High performance computing (HPC) combines a number of computer servers to carry out these large-scale computations that often operate on massive data sets. But data centers for HPC require immense amounts of power and limiting power […]
Professor Coskun and Team Will Collaborate with Sandia Labs on Applying AI to HPC
Professors Ayse Coskun, Manuel Egele, and Brian Kulis in ECE have received a $500K grant from Sandia National Labs for their project “Al-based Scalable Analytics for Improving Performance, Resilience, and Security of HPC Systems”. HPC refers to High Performance Computing. This is the practice of collecting computing power so that a large system delivers high […]