AI, Relying on Hardware Support, Could Improve by Thinking for Itself
Generative AI applications such as large language models became mainstream when ChatGPT went viral in 2022, but they require copious, complicated hardware underneath their user-friendly skins, especially when asked to act on more than just interactive text.
“Specialized [hardware] accelerators are crucial for maximizing the potential of AI tools, but current design tools’ complexity and required hardware expertise hinder innovation,” explained Arnob Ghosh, assistant professor in New Jersey Institute of Technology’s Electrical and Computer Engineering department Read More
Congratulations to Prof. Joshua Taylor
Dr. Taylor has received a NSF grant on "Auxiliary Signal-Based Fault Detection in Inverter-Dominated Power Systems" where optimized auxiliary signals in inverter-dominated power systems will be developed to minimize disruption.
NJIT revamps master’s program in power and energy systems
New Jersey Institute of Technology recently announced that it has revamped its Master’s in Power and Energy Systems program, adapting it to changing needs in the industry. (Click here to read more)
The Spark Continues: 'She in ECE' Year 3
On July 2, 2024 we had the SHE-in-ECE event sponsored by IEEE EDS and IEEE CASS and NJIT's Helen and John C. Hartmann Department of Electrical and Computer Engineering (ECE).
2024 ECE PhD Student of the Month:
#1
Public University for Alumni Earnings, Economic Mobility, and Academic Profile
Top 2%
for return on investment
Our undergraduate electrical engineering program ranks in the top 45 percent in the U.S.
Learn MoreMeet Some of Our Students
Electrical engineers utilize their knowledge of devices and systems design in a multitude of areas.
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“While my main focus is on my classes, I'm always looking for opportunities outside of them such as traveling to conferences.”
Olivia Hadlaw
Class of 2019
“I chose to complete my Ph.D. at NJIT because I knew I would receive the professional training I needed to prepare for an academic career.”
Jingjing Yao
Class of 2021
“My courses in machine learning are a key source of inspiration as I head off to solve problems as an R&D engineer.”
James Basuino
Class of 2018
Our Research Areas
Robotics, Intelligent Systems, Data Engineering (RID)
The Robotics, Intelligent Systems, Data Engineering area focuses on developing systems that are able to perceive, understand and respond to the world around them…
Learn MoreComputer Systems and Networking (CSNW)
The Computer Systems and Networking research focuses on neuromorphic computing, existing computer systems and green networks to increase performance, improve reliability or adapt to new computing environments…
Learn MoreCommunication, Signal Processing and Machine Intelligence (CSM)
The Communications, Signal Processing and Machine Intelligence Area concerns the representation, processing, analysis, and communication of the information, machine learning in all kinds of signals including radars, audio, video, and sensory data…
Learn MorePhotonics, Nano and Quantum Materials and Devices (PNMD)
Photonics, Nano and Quantum Materials and Devices area focuses on wide spectrum of topics from material preparation and growth to high performance electronic, photonic and quantum devices and integrated circuits…
Learn MoreEnergy, Power Systems, and Sustainability (EPSS)
The Energy, Power Systems, and Sustainability Area conducts cutting edge research on energy harvesting and storage, modeling and decision fusion of power systems, energy internet, energy-efficient lighting, and advanced sensing technologies for smart grid to shape future energy systems for sustainability…
Learn MoreOur Faculty Researchers
Featured Events
Multiple Events (IEEE and WECE)
ECE group advising
Wind Bootcamp
Latest News
Xueyu Hou - ECE PhD Student of the Month - November 2024
Daniel Vargas: Engineer, Advocate and Mentor Driving the Future of Autonomous Vehicles
