Faculty Accomplishments: College of Engineering & Computing Sciences
The College of Engineering & Computing Sciences is excited to share recent accomplishments from our faculty and staff members.
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Accomplishments are listed by date of achievement in reverse chronological order, with the most recent first.
All Recent Accomplishments
Batu Chalise, Ph.D., associate professor of electrical and computer engineering, has published the article "Model- and Deep Learning-based Bandwidth and Carrier Frequency Allocation in Distributed Radar Networks", in IEEE Transactions on Aerospace and Electronic Systems, on August 4, 2023.
Wei Zeng, Ph.D., assistant professor of mechanical engineering, in collaboration with a team of researchers in the U.S. and China, published an article titled "Modeling of active skeletal muscles: a 3D continuum approach incorporating multiple muscle interactions.'' The paper was published in Frontiers in Bioengineering and Biotechnology, a peer-reviewed, open-access journal, on May 18, 2023.
David Nadler, Ph.D., department chair and assistant professor of environmental technology and sustainability, shared his insights on PFAs, the chemicals used to make Teflon and other products that will persist in the environment almost indefinitely, in U.S. News & World Report. He was quoted in an article, "The Dangers of PFAS," published April 20, 2023.
Robert N. Amundsen, Ph.D., associate professor and chair of the Department of Energy Management, presented “Repurposing for Resiliency: Siting Distributed Energy” at the International Conference on Life Sciences, Engineering and Technology, on April 16, 2023, in Denver, Colo.
David Nadler, Ph.D., department chair and assistant professor of environmental technology and sustainability, published an article, "Workforce Diversity and Occupational Hearing Health," which appeared in Safety, an international, peer-reviewed, open access journal of industrial and human health safety, on April 13, 2023.
Wei Zeng, Ph.D., assistant professor of mechanical engineering, published a paper titled "Biofidelity Assessment of the WIAMan Thorax by a Comparative Study With Hybrid III, THOR, and PMHS in Frontal Sled Testing," in The Journal of Biomechanical Engineering, a peer-reviewed publication, on April 8, 2023.
Huanying Gu, Ph.D., professor of computer science and associate dean, has secured a supplement to an existing National Science Foundation grant, titled "Implementation of a Comprehensive High-School-College Partnership and Equity-Based Curriculum in Engineering and Computer Science." The grant team consists of Gu, serving as principal investigator, along with Houwei Cao, Ph.D., associate professor of computer science, N. Sertac Artan, Ph.D., associate professor of electrical and computer engineering, Reza Khalaj Amineh, Ph.D., associate professor of electrical and computer engineering, and Cecilia Dong, Ph.D., professor of electrical and computer engineering. Originally exceeding $600,000, the grant has now been expanded with an additional $129,222. It will support students from low-income backgrounds to study and graduate from two tech-intensive majors.
Batu K. Chalise, Ph.D., assistant professor of electrical and computer engineering, with his former graduate student, Daniel Wong, now with Northrup Grumman, published their paper entitled "Enhancing Distributed Radar Detection Performance with Reliable Communications'' in IEEE Transactions on Aerospace and Electronic Systems on January 31, 2023.
Batu K. Chalise, Ph.D., assistant professor of electrical and computer engineering, with Moeness G. Amin, Ph.D., from Villanova University and Giuseppe A. Fabrizio, Ph.D., from Defence Science and Technology Group, Department of Defence, Australia, published their paper entitled "Information Embedding in DFRC Networks Through Chirp Waveform Diversity'' in EURASIP Journal on Advances in Signal Processing on January 26, 2023.
Maryam Ravan, Ph.D., assistant professor of electrical and computer engineering, in collaboration with colleagues from Stanford University and McMaster University, has published an article, "Discriminating between bipolar and major depressive disorder using a machine learning approach and resting-state EEG data,” in Clinical Neurophysiology, a peer-reviewed publication, on December 7, 2022.