The Jonsson School

New Teaching and Research Faculty Join the Jonsson School

In 2022, the Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas introduced 14 new tenured, tenure-track and instructional faculty members. Research faculty will focus on areas as diverse as computational linguistics and energy materials, while instructional faculty will focus on helping students master complex and challenging content while encouraging students to develop a vision for their careers.

“The University of Texas at Dallas has just surpassed 31,000 students, and the Jonsson School has contributed in a major way to this growth,” said Dr. Stephanie G. Adams, dean of the Jonsson School and Lars Magnus Ericsson Chair. “This year, we are welcoming both junior and mid-career research faculty members who are at the forefront of current research. We have also sought out excellent teaching faculty who are focused on building our students’ skills and confidence in engineering
and computer science. We are thankful that each of these accomplished professionals has joined
our team.”

Dr. Stephanie G. Adams

Adams, also a professor of systems engineering, marked the 2022-23 academic year as the Year of Gratitude, celebrating the accomplishments of staff and faculty at the Jonsson School. The school also continues its focus on improving the educational experience of students through L.A.U.N.C.H, Leveraging our Attention to Undergraduate and Graduate Student Needs, Challenges and Hopes. At the Jonsson School, both research and instructional faculty are recognized for their successes in teaching.

Dr. Polimyr Caesar Dave P. Dingal Dr. Xinya Du Dr. Mona Ghassemi Dr. Levi Good Dr. Yunhui Guo Dr. Ifana Mahbub Dr. Rebecca McClain Dr. Kristin Miller Dr. Hui Ouyang Dr. Brian Ricks Dr. Berrak Sisman Dr. Yapeng Tian Dr. Cormac Toher Dr. Yue Zhou
Dr. Polimyr Caesar Dave P. Dingal Dr. Xinya Du Dr. Mona Ghassemi Dr. Levi Good Dr. Yunhui Guo Dr. Ifana Mahbub Dr. Rebecca McClain Kristin Miller Dr. Hui Ouyang Dr. Brian Ricks Dr. Berrak Sisman Dr. Yapeng Tian Dr. Cormac Toher Dr. Yue Zhou
Dr. Polimyr Caesar Dave P. Dingal
Assistant professor of bioengineering

Education: PhD in chemical and biomolecular engineering, University of Pennsylvania; bachelor of engineering in chemical and biomolecular engineering, Nanyang Technological University, Singapore

Previous position: Postdoctoral fellow, Department of Molecular and Cellular Biology, Harvard University

Research areas: Systems biology, synthetic biology, developmental biology

Dr. Xinya Du
Assistant professor of computer science

Education: PhD in computer science, Cornell University; bachelor of engineering in computer science and engineering, Shanghai Jiao Tong University

Previous position: Postdoctoral research associate at University of Illinois at Urbana-Champaign

Research areas: Natural language processing, computational linguistics, machine learning, deep learning

Dr. Mona Ghassemi
Associate professor of electrical and computer engineering and chair of the Texas Instruments Early Career Award in Electrical and Computer Engineering

Education: PhD and MS in electrical engineering, University of Tehran; BS in electrical engineering, Shahed University

Previous positions: Steven O. Lane Junior faculty fellow, College of Engineering Faculty Fellow and assistant professor at Virginia Tech

Research areas: Transportation electrification, clean energy, electrical insulation materials and systems, high voltage/field engineering and technology, power systems and plasma science

Dr. Levi Good
Assistant professor of instruction in bioengineering

Education: PhD in bioengineering, Arizona State University; BS in electrical engineering, University of Wyoming

Previous positions: Senior research scientist at UT Southwestern Medical Center; assistant professor, Louisiana Tech University

Instructional areas: Biomedical instrumentation, electrical biophysics, medical imaging systems, brain networks, biomedical control systems

Dr. Yunhui Guo
Assistant professor of computer science

Education: PhD in computer science and engineering, University of California, San Diego; MS in computer science and engineering, Zhejiang University, China; bachelor of engineering in communication engineering, University of Electronic Science and Technology of China

Previous position: Postdoctoral researcher at University of California, Berkeley

Research areas: Machine learning and
computer vision

Dr. Ifana Mahbub
Assistant professor of electrical and
computer engineering


Education: PhD in electrical engineering, University of Tennessee, Knoxville; BS in electrical and electronic engineering, Bangladesh University of Engineering and Technology

Previous position: Assistant professor in electrical engineering, University of North Texas

Research areas: Radiofrequency and microwave integrated circuits and interfaces for wireless power and data telemetry applications

Dr. Rebecca McClain
Assistant professor of instruction in materials science and engineering

Education: PhD in chemistry, Northwestern University; BA in chemistry, Wellesley College

Previous positions: Research and development chemist at ZS Pharma, Inc. and Fulbright fellow

Instructional area: Achieving rational design of solid-state materials through in situ x-ray diffraction

Dr. Kristin Miller
Associate professor of bioengineering and mechanical engineering

Education: Postdoctoral fellow in biomedical engineering, Yale University; PhD in bioengineering, University of Pennsylvania; BS in biomedical engineering, Texas A&M University

Previous position: Associate professor of biomedical engineering at Tulane University

Research areas: Biomechanics, mechanobiology, reproductive health, growth and remodeling, tissue engineering and regenerative medicine

Dr. Hui Ouyang
Assistant professor of mechanical engineering

Education: PhD in mechanical engineering, University of Minnesota-Twin Cities; MS in mechanical engineering, The University of Akron; BS in energy and power engineering, Xi’an Jiaotong University, China

Previous position: Associate professor of instruction at the University of Texas at Dallas in mechanical engineering

Research areas: Aerosol science and technology, aerosol transport in the lung, bioaerosol control

Dr. Brian Ricks
Assistant professor of instruction in
computer science


Education: PhD, MS and BS in computer science, The University of Texas at Dallas

Previous position: Research assistant at The University of Texas at Dallas

Instructional areas: Network intrusion detection, network traffic generation, probabilistic graphical models, fault diagnostics

Dr. Berrak Sisman
Assistant professor of electrical and
computer engineering


Education: PhD in electrical and computer engineering, National University of Singapore; MS and BS, FMV Isik University, Turkey

Previous positions: Postdoctoral researcher, National University of Singapore; assistant professor of computer science, Singapore University of Technology and Design

Research areas: Artificial intelligence, machine learning, speech synthesis and emotion

Dr. Yapeng Tian
Assistant professor of computer science

Education: PhD in computer science, University of Rochester; MS in electronic engineering, Tsinghua University, China; BS in electronic engineering, Xidian University, China

Previous positions: PhD student and research assistant, University of Rochester

Research areas: Computer vision, computer audition, multimodal learning

Dr. Cormac Toher
Assistant professor of materials science and engineering in the Jonsson School; assistant professor of chemistry and biochemistry in the School of Natural Sciences and Mathematics

Education: PhD in physics and BA in theoretical physics, Trinity College, Dublin, Ireland

Previous position: Assistant research professor, Department of Mechanical Engineering and Materials Science, Duke University

Research areas: Computational materials science, materials thermodynamics, disordered materials, energy materials, electronic materials

Dr. Yue Zhou
Assistant professor of mechanical engineering

Education: PhD in electrical engineering, Pennsylvania State University; MS and BS in physics, Nanjing University, China

Previous position: Assistant professor of electrical engineering and computer science, South Dakota State University

Research areas:  Energy storage, energy conversion, advanced manufacturing, electronic materials and devices

Our lab combines molecular genetics and engineering to study how signaling proteins perform at the molecular level and at the level of the whole animal, ultimately in order to engineer new signaling complexes.

I plan to enable processing models to acquire information, understand and reason about the dynamic world, while fostering collaborations. I’d like to be a good mentor, enabling students to be independent, insightful researchers.

To achieve net-zero emissions in America by 2050, moving toward all electric transportation and 100% renewables are the main goals. I am excited to shape this field by working with Jonsson School students and faculty.

My goal is to provide a solid foundation in the fundamentals of engineering as they are applied to medical problems so our diverse students will become impactful members of society.

I am honored to join the Department of Computer Science. I aim to build a research group with a culture of inclusion to achieve excellence and educate the next generation of computer scientists.

I plan to advance my research through collaboration. The courses I plan to develop will focus on interdisciplinary perspectives. I hope to explore fundamental phenomena, which will hopefully lead to breakthrough discoveries.

My goal as an assistant professor of instruction is to provide my students with a safe environment to develop their problem-solving skills, science literacy and self-efficacy.

I look forward to teaching mentoring and working alongside the next generation of scientists and engineers, as well as nurturing collaborations between UT Dallas and UT Southwestern Medical Center.

I want to educate students through courses and research projects. With students, I aim to build an aerosol measurement and control lab and advance research in indoor air quality.

Freshman year is a critical time to motivate students, particularly when igniting that spark of interest. My goal is to help students learn new material as they begin that climb to the summit.

I am very excited to contribute my strengths in leadership, research and education at UTD! I look forward to offering my best to students for their excellent learning experience.

I am enthusiastic about tackling fundamental problems in building intelligent
perception systems, and I look forward to collaborating with students and colleagues from different fields.

My goal is to establish a research program that combines first-principles calculations, big data and machine-learning to design and discover new materials for energy and nanoelectronic applications.

I look forward to integrating my research program and education activities to benefit next-generation engineers, especially minorities, in the field of sustainable energy.