Experience the first-ever week-long AI Spring School, proudly sponsored by MATRIX, NSF NAIAD, ATHENA & the UTSA Office of Research! Connect with leading research scientists and industry experts as you immerse yourself in artificial intelligence's latest advancements and hands-on experiences. We'll dive deep into cutting-edge topics on Neuro-Inspired AI, Federated Learning, and Continual Learning for Edge. This event is open to anyone who wants to learn and be a part of a vibrant AI community.
The NSF workshop on Large Scale Neuromorphic Computing will bring together globally recognized leaders in neuromorphic computing and its application domains to initiate discussions on the opportunities and challenges in designing large-scale neuromorphic computing systems and research infrastructure.
Students interested in the NUAI Lab should first read through the lab research areas prior to contacting Dr. Kudithipudi by email. We are currently seeking applications for student research assistants at undergraduate, graduate and doctoral levels.
Select a category from below to get instructions on how to apply.Undergraduate Students should state their research interests which relate to the lab research areas in an email to Dr. Kudithipudi.
Email a single PDF file containing your CV and unofficial academic transcripts (with grades, if applicable) to Dr. Kudithipudi at the email address - dk@utsa.edu
NUAI Lab is seeking a highly motivated master's student with a strong background in Computer Architecture, Machine Learning and VLSI Design for Fall 2025. Research assistants will be mentored by Dr. Dhireesha Kudithipudi and work closely with graduate students, research scientists and other master's students. They will have opportunity to assist with multiple ongoing projects
Email a single PDF file containing your CV and unofficial academic transcripts (with grades, if applicable) to Dr. Kudithipudi at the email address - dk@utsa.edu
Students aspiring to pursue or enrolled in the Doctoral / PhD program can apply.
We are seeking a Ph.D. student to join in an exciting new research project on designing bio-inspired models in lifelong learning scenarios funded by multiple agencies such as NSF. Specifically, the candidate is expected to study and develop algorithms with theoretical and formulations. A successful candidate will be able to propose novel algorithmic approaches and provide strong mathematical proof for the former, towards solving challenges/addressing knowledge gaps in lifelong learning. The successful candidate will also be part of a rich and emerging AI community, with the newly established UTSA AI consortium (MATRIX) community. The consortium engages with the private sector, academia, the Greater San Antonio community and international partners to advance the state of the art in human-aware AI.
The candidate will be mentored by Dr. Dhireesha Kudithipudi and often in collaboration with leading scientists in the field. Relevant recent publications from the lab can be found in the publications section and (CVPR-W, ICML-W, DATE, IEEE Signal Processing Magazine, IEEE TC).
Email the following files (in PDF format) to Dr. Kudithipudi at the email address - dk@utsa.edu
Email Dr. Dhireesha Kudithipudi at
for more information or to request a meeting
We are located at
BSE Building, 2nd floor, Lab No 2.222
One UTSA Circle, San Antonio, TX 78249
