The Baskin School of Engineering welcomes a cohort of 12 new faculty members to the 2024-25 academic year.
With backgrounds in academia and industry, these faculty bring expertise in artificial intelligence, machine learning, sustainable computing, cybersecurity, human-computer interaction, and more. Committed to inclusive and collaborative teaching, they are set to mentor the next generation of engineers.
“Our new faculty colleagues are all distinguished scholars and innovators, bringing cutting-edge expertise and diverse perspectives to our school,” said Alexander Wolf, Dean of the Baskin School of Engineering. “I look forward to the contributions they will make to the research and teaching missions of Baskin Engineering.”
Applied Mathematics
Julie Simons, Associate Professor of Teaching
Academic interests: Mathematical modeling, cellular motility, sperm motility, computational simulation, Stokes flow; technology in education, data science, STEM outreach, DEI in education
Julie Simons specializes in cellular motility, modeling, and computational simulation, with interests in undergraduate education and equity initiatives. She started her mathematical trajectory at UC Berkeley, majoring in pure math with a minor in statistics, before transitioning to study applications in biology at the University of Wisconsin-Madison. After postdocs at UC Irvine and Tulane University, Simons joined the California State University (CSU) system to focus on STEM education at CSU Maritime Academy. She has received several awards for her work on curricular innovation, Diversity Equity and Inclusion initiatives, and undergraduate research opportunities.
Computational Media
Markus Eger, Assistant Professor of Teaching
Academic interests: Game AI, procedural content generation, virtual reality (VR), human-AI collaboration
Markus Eger joins Baskin Engineering from Cal Poly Pomona, where he was an assistant professor working with undergraduate and graduate students on projects including generating cities in Minecraft, evaluating gender bias in large language models, and building VR games for fun and educational purposes. He received his Ph.D. from North Carolina State University where he worked on creating AI agents that can play cooperative games with humans, with a focus on the communication between the computer player and their human collaborator. His current work aims to reduce friction between AI and humans in a playful manner.
Computer Science and Engineering
Hao Yue, Associate Professor of Teaching
Academic interests: Large language models, computer science and engineering education, AI in education
Hao Yue received his Ph.D. in computer engineering from the University of Florida in 2015. His research interests are in computer science and engineering education, with a focus on developing innovative curricula, pedagogical methods, and technologies to reduce learning barriers and eliminate equity gaps. Yue secured multi-million dollar funding from the National Science Foundation and other sources to create equitable curricula and educational programs to create more diversity among students and in the computer science and engineering workforce. Currently, he serves on the steering committee of the $15 million California Educator Workforce Investment Grant, which provides state-wide professional learning opportunities for computer science teachers and paraprofessionals.
Ishtiyaque Ahmad, Assistant Professor
Academic interests: Distributed systems, data management, applied cryptography
Ishtiyaque Ahmad’s research lies at the intersection of distributed systems, data management, and cryptography. He focuses on building large-scale data systems that prioritize strong privacy for end-users. The outcomes of his research have been published at some of the most reputed venues, including the Association for Computing Machinery Symposium on Operating Systems Principles, USENIX Symposium on Operating Systems Design and Implementation, International Conference on Very Large Data Bases, and the International Society for Computers and their Applications. He earned his Ph.D. in Computer Science from UC Santa Barbara, where he received a Best Dissertation award, an IBM Ph.D. Fellowship and an Outstanding Paper award.
Ramakrishnan (Ram) Sundara Raman, Assistant Professor
Academic interests: Computer security, computer networking, online freedom, privacy
Ram Sundara Raman earned a Ph.D. in Computer Science and Engineering from the University of Michigan. His research fuses computer security, privacy, and networking, using empirical methods to study large-scale internet attacks such as internet censorship, and building privacy-enhancing tools. He was recognized as a Rising Star at the Workshop on Free and Open Communications on the Internet, and was awarded the IRTF Applied Networking Research Prize in 2023. His work has helped prevent large-scale attacks on end-to-end encryption and has contributed to the Censored Planet Observatory, one of the biggest active censorship measurement platforms.
Sungjin Im, Associate Professor
Academic interests: Discrete algorithms, machine learning
Sungjin Im joins Baskin Engineering from UC Merced, where he was an associate professor in computer science and engineering. He received his Ph.D. in computer science from the University of Illinois at Urbana-Champaign. His expertise lies in the design and analysis of algorithms, along with their various applications, and he is interested in exploring the synergistic connection between discrete algorithms and machine learning. His research explores how machine learning can improve the performance of algorithms in situations where the worst-case scenario might not be the most common.
Nikolaos (Nikos) Tziavelis, Assistant Professor
Academic interests: Databases, data management, algorithms
Nikos Tziavelis’s research spans theoretical and practical aspects of data systems, leveraging ideas from database theory to design innovative solutions for real-world systems. He received his Ph.D. from Northeastern University and a diploma from the National Technical University of Athens. His work has been awarded with a Google Ph.D. fellowship, a PODS 2021 “Best of” recognition, a 2023 Very Large Data Bases Ph.D. Workshop Best Paper Award, and the 2024 Khoury Research Award from Northeastern University.
Abel Souza, Assistant Professor
Academic interests: Sustainable computing, cloud and edge computing, distributed systems
Abel Souza’s research aims to expand our understanding of computing systems, from small embedded devices to large scale data centers, encompassing resource planning and the deployment of optimal strategies for distributed systems. Recently, his work expanded into sustainable, carbon-aware approaches to designing and managing cloud data centers and cyber-physical systems, with the goal of achieving zero-carbon operations. Souza completed his bachelor’s degree from the Universidade Federal Fluminense in Brazil, was a Postdoctoral Researcher at the University of Massachusetts Amherst, and earned his Ph.D. at Umeå University.
Kriti Bhargava, Assistant Professor
Academic interests: Machine learning, databases, computer networks, algorithms, systems programming
Kriti Bhargava’s research focuses on enhancing the real-time performance of IoT applications through the development of intelligent sensor networks, leveraging concepts of edge computing and machine learning. Her work has been applied to fields such as precision agriculture and humanitarian engineering. Before joining Baskin Engineering, Kriti served as an assistant teaching professor and director of Computer Science programs at the University of Connecticut, Stamford campus.
She earned her bachelor’s and master’s degrees in computer science and engineering from the LNM Institute of Information Technology in India. She completed her Ph.D. in Computer Science from the South East Technological University in Ireland and conducted postdoctoral research at Coventry University in the UK.
Electrical and Computer Engineering
Nathan Ellis, Assistant Professor
Academic interests: Power electronics, energy systems, analog/mixed signal integrated circuit design
Nathan Ellis joins Baskin Engineering with expertise in energy systems and circuit design. Working at UC Berkeley for the last four years, he brings experience mentoring Ph.D. students, including those at Berkeley’s Power and Energy Center. As a lecturer within UC Berkeley’s Department of Electrical Engineering and Computer Sciences, he earned recognition for “teaching effectiveness that greatly exceeds the departmental average.” Supported by the Advanced Research Projects Agency-Energy, the Defense Advanced Research Projects Agency, NASA’s Jet Propulsion Lab, the National Science Foundation, as well as industry partners, Ellis’s work has targeted renewable integration, electric vehicles, portable and biomedical devices, data centers, and aerospace applications.
Soumya Bose, Assistant Professor
Academic interests: Analog & mixed-signal integrated circuit design, sensor interfacing, energy harvesting, power management, data interconnects, wearables, bio-sensing, low-power IoT
Soumya Bose received his Ph.D. from Oregon State University and joins Baskin Engineering from Intel Corporation, where he worked as a research scientist in Intel Labs. His expertise includes analog & mixed-signal integrated circuits for sensing, signal processing, power management, and high-speed data interconnects. He is interested in energy-constrained applications and plans to work on low-power integrated circuits for next-generation wearables, bio-sensing, and energy-efficient system-on-chips.
His research was presented at International Solid-State Circuits Conferences and was awarded several U.S. patents. He received the 2017 Center for Design of Analog-Digital Integrated Circuits best poster award, a 2014 Institute of Electrical and Electronics Engineers (IEEE) TechSym best presentation award, and the 2024 Intel Labs Distinguished Research Award. Bose has been associated with IEEE publication committees as a reviewer and served as an associate editor of IEEE Transactions on Circuits & Systems (TCAS) – II from 2021-23.
Baskin School of Engineering
Kyle Miller, Assistant Professor of Engineering
Academic interests: Interactive theorem provers, artificial intelligence
Kyle Miller received his Ph.D. from UC Berkeley in the area of low-dimensional topology, and conducted work as a postdoctoral researcher in the mathematics departments at the Université Paris-Saclay and UCSC. His research focuses on the intersection of computer science and mathematics, leveraging his interdisciplinary expertise to create software tools with applications in mathematics, engineering, and education. Miller is a developer of the Lean theorem prover and a maintainer of its formal mathematics library.