Lab News

New Publication in TCAS II on Optimizing Time-Domain Neuromorphic Computing

We’re excited to share our latest work, published in IEEE Transactions on Circuits and Systems II (TCAS II), which explores optimizing time-domain neuromorphic computing for higher throughput. This research is a collaborative effort by students Karsten Bergthold, Hagar Hossam, and Elaine Greenfield, alongside faculty members Tejasvi Das and Cory Merkel.

The paper, titled "Enabling Long Chain Lengths and High Throughput for Time-Domain Neuromorphic Computing," presents new methods to enhance performance in this emerging field.

New project on Neuromorphic Computing (funded by Dept. of Energy)

Exciting new research led by KGCOE faculty members Cory Merkel (associate professor in computer engineering) and Tejasvi Das (associate professor in electrical and microelectronic engineering) aims to revolutionize neuromorphic computing by designing AI systems that closely emulate the complexity of the biological nervous system.

Collaboration with Cirrus Logic

Tejasvi Das, associate professor in electrical and microelectronic engineering, has been given a two-year research gift by Cirrus Logic for pursuing research on adaptive, high efficiency mixed-signal circuits for sensing applications.

Incoming....and outgoing

Congratulations to Karsten Bergthold on receiving his MS degree and starting a new position as Design Engineer at Cirrus Logic in Austin! We wish him all the best...

Welcome to incoming PhD students Jason Inman and Elaine Greenfield. Jason has an MS degree from RIT and over 10 years experience in the IC industry. He is currently working at AMD. Elaine just graduated with her BS/MS degree at RIT is joining us as a PhD student. A warm welcome to both of them!

Two papers accepted at the 2024 IEEE Midwest Symposium

Two papers - one on Biosensing and one on Neuromorphic AI have been accepted at the 2024 IEEE MWSCAS