Hoda Naghibijouybari is an Assistant Professor in the Computer Science Department at Binghamton University. She received her Ph.D. in computer science from the University of California, Riverside in 2020, working with Professor Nael Abu-Ghazaleh. Her primary research interests are in the area of computer architecture, and security. Her current research focuses on architecture support for security, microarchitectural attacks, GPU security, and heterogeneous systems. Her research has resulted in the discovery of new attacks that have been disclosed to GPU companies and received coverage from technical news outlets. Her paper on GPU security (published in CCS-2018) was selected for Top Picks in Hardware and Embedded Security in 2019.

Dr. Ghazal Tashakor is a scientific staff member affiliated with multiple institutes and universities in Germany and Spain. She obtained her Ph.D. in High-Performance Computing (HPC) and advanced simulation from the Autonomous University of Barcelona in 2019. Her ongoing research endeavors primarily focus on conducting large-scale computer simulations. Additionally, she serves as a core developer in distributed and parallel architecture patterns, ranging from grid computing to data visualization/monitoring, with a specific emphasis on Big Data and advanced hierarchical models. She collaborates with various research centers in Germany, including Fraunhofer and Jülich Supercomputing Centre (JSC)

I’m currently a Product Manager at Google Cloud AI. Previously, I was the lead Product Manager for systems and software at Cerebras Systems, where we built the industry's fastest Deep Learning acceleration solution.

I have an MBA from the University of Texas-McCombs School of Business, where I was a Venture Fellow at BuildGroup and Mercury Fund; here I gained hands-on experience in developing investment themes, conducting due diligence, valuation, and assisting portfolio companies, and worked with internal data science teams to conceive and deploy machine learning projects at scale.

Prior to my MBA, I received a Masters' in Computer Engineering from the University of Wisconsin-Madison and held leadership positions within product and research groups within the smartphone industry (Qualcomm, Samsung R&D) as a computer architect.

I was fortunate to witness the explosive growth of the smartphone and tablet markets first-hand and was a member of high visibility + growth teams that collectively delivered over 1 Billion chips to users.

I'm a Ph.D. student at UT Austin working with Dr. Calvin Lin. Broadly, I'm interested in microarchitectural prediction for memory systems performance and in rethinking the hardware/software interface in light of modern performance, programmability, and security challenges. I'm also interested in computer architecture education. Before coming to UT, I was a CS and EE lecturer at Texas State University, and early in my career I was a hardware verification engineer at Arm.