Tashfeen is a tinkering computer scientist with a fair bit of intrigue for mathematics. He enjoys teaching, running, drinking coffee, and learning new words in different languages. His PhD advisor is Dr. Qi Cheng and his current research interests include computational learning theory, genetic algorithms, and lattice cryptography. He has recently been dabbling in 3D printing, botany and... et français mais il en sait très peu sur ceux-ci. Albeit not an angel, when he stands next to a window in the dusk's crepuscular light, you can almost see his halo.
I’m Averi Bates, a first-year PhD student in the School of Computer Science focusing on machine learning. My work focuses on machine learning applications across diverse areas, including bioinformatics and applied problem-solving. For example, I worked on a project analyzing chest X-ray data using cross-validation techniques to improve diagnostic accuracy. I’m passionate about leveraging machine learning to tackle real-world challenges and enjoy collaborating on projects that drive impactful, data-driven solutions.
Ahsan Bilal is a PhD student at the University of Oklahoma, working under the supervision of Dr. Beiyu Lin in the fields of artificial intelligence, machine learning, and large language models. He earned his bachelor's degree in Electrical Engineering from the National University of Sciences and Technology. His research focuses on advancing AI methodologies and their applications in real-world systems.
Sam Bird is a PhD student in Computer Science, researching database management systems. He earned his bachelor's and master's degrees in Computer Science at the University of Oklahoma. Advised by Dr. Le Gruenwald, he is researching quantum data management using machine learning on quantum computers for large-scale database applications. His academic interests include databases, machine learning, and quantum computing.
Omkar Chekuri is a Ph.D. candidate in Computer Science specializing in information visualization and visual analytics. He earned his M.S. in Data Science and Analytics from the University of Oklahoma. Under the guidance of Dr. Chris Weaver, his research focuses on the theoretical foundations of tree visualization techniques and the development of interactive pipelines for in-situ tree editing. His academic interests span machine learning, network science, virtual reality and software development.
Job Elliott is a Ph.D. Student in Computer Science. His research will be in using machine learning for RNA sequencing and detection of modifications. He received his B.S. In C.S. From the University of Central Oklahoma and his M.S.C.S. with an emphasis in A.I. from Oklahoma Christian University. He currently works for the USAF as a civilian computer scientist.
Yonathan Hendrawan is a PhD student working in Visualization Information. Under the supervision of Dr. Chris Weaver, he is researching human movement data visualization using graphic novel structures. He earned his bachelor's degree in electrical engineering at Institut Teknologi Sepuluh Nopember (Indonesia) and master's degree in Information Technology at The University of New South Wales (Australia). His academic interests include Information Visualization, Video Gaming, and Computer Graphics.
Debra Hogue is a Computer Scientist at 76th Software Engineering Group/Tinker AFB with 10 years of experience as a software developer. She was awarded the SMART scholarship in 2021 to fully fund her PhD journey at OU. Her research area resides within computer vision with a focus of advancing camouflage object detection and segmentation techniques.
Vishnu Kadiyala is a PhD Candidate in Computer Science, conducting research aimed at improving weather forecasting accuracy utilizing Deep Learning models. He holds a master’s degree in computer engineering from the University of Oklahoma. Advised by Dr. Andrew Fagg, his research interests include Deep Learning, Atmospheric Sciences, and a passion for solving complex problems.
William is a Norman native and 2nd year PhD student in Data Science & Analytics. He is advised by Dr. Dimitrios Diochnos and Dr. Sean Crowell and is interested in machine learning and uncertainty quantification applied to problems in Atmospheric and Environmental science. Currently, he works as a research assistant for the NASA GeoCarb mission and holds a research affiliation with the NASA Jet Propulsion Laboratory, bringing machine learning data quality products to operation for the Orbital Carbon Observatory.
My current research is on Interpretable Machine Learning on tree based models.
Braden Roper is a PhD student in Computer Science, specializing in Data Visualization and Analysis. He is interested in high dimensional data visualization and reduction techniques, data literacy and education, and data storytelling. He has worked with the K20 Center on the research campus developing educational games, applications, and resources that are used by teachers and students around the world.
Jay Rothenberger is a Graduate Research Assistant to Dr. Dimitrios Diochnos in the school of Computer Science here at OU. Jay's research is funded by the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography. Jay's primary areas of interest include developing deep learning models that can be deployed with limited computational resources and developing models that are robust to adversarial conditions.
