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.
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.
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.
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.
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 predoctoralresearch 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.
Hui Lin presented his PhD Final Defense, “Detection and Prevention of Intrusions in Power Systems’ Cyber-Physical Infrastructure,” today. His committee was comprised of Pete Sauer, Bill Sanders, Saurabh Amin (MIT), and advisors Ravi Iyer and Zbigniew Kalbarczyk. Hui will now join the faculty at the University of Nevada, Reno. Congratulations Hui!!!
Pictured Left to Right, Pete Sauer, Ravi Iyer, Hui Lin, Zbigniew Kalbarczyk and Bill Sanders
The Depend Group was proud to celebrate with its recent PhD Graduates, Zak Estrada and Cuong Pham. Zak is currently an Assistant Professor at Rose-Hulman Institute of Technology and Cuong Pham is the Engineering Lead at Anduin Transactions.
Zak’s thesis is entitled, “Dynamic reliability and security monitoring: a virtual machine approach.”
Cuong’s thesis is entitled, “Continuous monitoring methods to achieve resiliency for virtual machines.”
‘Inter-Ictal Seizure Onset Zone Localization Using Unsupervised Clustering and Bayesian Filtering’ was selected as one of the six finalists of the student paper competition sponsored by the IEEE EMBS society at the 8th International IEEE EMBS Conference on Neural Engineering (NER’17). The six finalists were selected based on the scores given to their papers by the reviewers.