Depend Group Alum, Karthik Pattabiraman, received the inaugural Rising Star in Dependability award from the IEEE Computer Society. This award recognizes a junior researcher, from academia or industry, who demonstrates “outstanding potential for creative ideas and innovative research in the field of dependable and resilient computer systems and networks.”
Please join us in congratulating Karthik!
Full article here
Karthik’s research page
Saurabh Jha has been selected a 2020 IBM Fellow. From hundreds of applicants from 140 universities in 31 countries)worldwide, Saurabh is one of 24 fellows honored this year. Congratulations, Saurabh!
More information from IBM can be found here.
Arjun is now an Assistant Professor of Pharmacology and Principal Data Scientist at the Mayo Clinic.
The research of Depend group alum Homa Alemzadeh, now an Assistant Professor at the University of Virginia, was featured recently. Homa’s research on the resilience of cyber-physical systems began during her PhD studies and has continued on at Virginia.
Read profile of Prof Alemzadeh’s work here
Thesis here
Depend group researcher Yogatheesan Varatharajah’s work has been highlighted in the University of Illinois’ newspaper, the Daily Illini. His research using Artificial Intelligence methods resulted in a technique that can identify the brain regions that generate seizures without requiring the inspection of actual seizures.
Read more here
Using probabilistic modeling and artificial intelligence techniques based on real data from patients suffering from epilepsy, Depend group student researcher Yogatheesan Varatharajah and Mayo Clinic neurologist Dr. Greg Worrell developed a model to identify seizure generating brain regions using only non-seizure data. The new approach has the potential to decrease the time of an epilepsy procedure from days or weeks to just a couple of hours.
Yoga is a PhD student in ECE and a Mayo- UIUC Alliance predoctoral research fellow.
Full article here
The full paper can be found here
The University of Illinois has received funding for a new research program in Singapore – the CREATE Programme for a Trustworthy and Secure Cyber-Plexus (TSCP). The new initiative will work to make information systems both trustworthy, meaning it behaves as expected even during disruptions, and secure, or hardened against malicious attacks.
TSCP is funded for five years by Singapore’s National Research Foundation and will focus on four main thrusts, primarily as they relate to the power grid: system architecture and the organization of trustworthy and secure cybersecurity components and their interactions; development of new hardware, software, protocols and applications; standards, verification and validation of components; and methodologies and tools to continuously monitor, detect and react to problems in real-time.
The TSCP CREATE Programme will be led by David M. Nicol, the Franklin W. Woeltge Professor of Electrical and Computer Engineering and director of the Information Trust Institute. Zbigniew T Kalbarczyk, a research professor of electrical and computer engineering in the Coordinated Science Laboratory, will share the leadership role.
Work performed by Depend Group member, Arjun Athreya, has been highlighted in the Mayo Clinic Center for Individualized Medicine Blog. “We combined expertise from clinicians, engineers and biologists to create an algorithm that uncovered patterns of antidepressant response that each of these specialists alone might not be able to recognize,” says Arjun Athreya, a Mayo- UIUC Alliance predoctoral research fellow. “Using this data with deep machine learning, we were able to predict with 75-85 percent accuracy whether a common antidepressant drug would work for each individual patient in the study. That compares to 58 percent accuracy when predictions are based only on clinical, demographic and social factors. In addition, we found that women and men respond differently to this antidepressant therapy.”
This research is also funded under the NSF Funded Center for Computational Biotechnology and Genomic Medicine (CCBGM) led by Prof. Iyer.
The full paper can be found here.