Engineering

Cyber security has become an increasingly relevant topic in our society, but what does it really look like for a security analyst to defend networks daily against criminal and state-sponsored adversaries?

Public awareness of civil infrastructure system performance and resilience has increased dramatically in recent years as a result of repeated natural disasters with high consequences. In response to increased public concern, a significant amount of research has been done to advance risk management strategies that can effectively improve system resilience.

Operational amplifiers are widely used analog circuits used in highly integrated system chips and also sold as stand-alone products.

Ceco Concrete Construction is hosting an on-campus Information Session! Come learn about open positions for new graduates and interns!

Dr. Tootkaboni is an Associate Professor of Civil and Environmental Engineering and a member of Center for Scientific Computing and Data Science Research at UMassD. Dr. Tootkaboni’s research is cross-disciplinary and focuses on integrating advances in optimal design, stochastic modeling, applied statistics and data analytics with methods of applied and…

Federated learning is a distributed machine learning approach that enables multiple clients (e.g., smartphones, IoT devices, and edge devices) to collaboratively learn a model with help of a server, without sharing their raw local data. Due to its potential promise of protecting private or proprietary user data, and in light of emerging privacy regulations such as GDPR, federated learning has become a central playground for innovation.

The 2022 Anjan Bose Lecture, “Incorporating Natural Resource Management into Complex Integrated Modeling Frameworks to Inform Adaptation to Global Change”, will be presented by Prof. Jennifer Adam.
Dr. Adam is the Berry Distinguished Professor, Civil and Environmental Engineering, and the recipient of 2021 Anjan Bose Outstanding Researcher award.

Kakan Dey is an Assistant Professor in the Wadsworth Department of Civil and Environmental Engineering at West Virginia University (WVU).

Abstract: FBI Special Agent Kevin Brennan will discuss the current cyber threat landscape: who is conducting computer intrusions, why, and how. This will include a discussion of what computer intruders are targeting, how they are getting into the networks, and recent developments in the cybercrime world. This will include threats…

Design is at the core of electrical engineering and computer science.
Design is an iterative process where EECS seniors work together in teams to clarify a real-world problem, generate solutions, evaluate impacts, and select the optimum final design.

Come visit our senior bioengineering students and learn about their capstone design project they completed for BIOENG 410/411.

For decades, Moore’s Law has delivered the ability to integrate an exponentially increasing number of devices in the same silicon area at a roughly constant cost. This has enabled tremendous levels of integration, where the capabilities of computer systems that previously occupied entire rooms can now fit on a single integrated circuit.

Lu Peng is the Gerard L. “Jerry” Rispone professor with the Division of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, Louisiana. His research interests include computer systems and architecture focusing on many design issues on CPUs and GPUs, hardware accelerators, and applications for deep learning neural networks and blockchains.

GridAPPS-D™ is an open-source platform that accelerates the development and deployment of portable applications for advanced distribution management and operations. The GridAPPS-D™ project is sponsored by the U.S. DOE’s Office of Electricity, Advanced Grid Research. Its purpose is to reduce the time and cost to integrate advanced functionality into distribution operations to create a more reliable and resilient grid.

I will explore system design tradeoffs for an important class of graph algorithms — graph mining. I will describe experiences creating abstractions, optimization techniques and automation methodologies for graph mining, across different layers of the system stack, including both software and hardware.