About Me
Hello and welcome to my website! I'm Vivek, a Machine Learning Research Scientist at LLNL, Livermore, California. I have a strong publication record (NeurIPS, ICML, ECCV, ICCV, AAAI, Interspeech, ICASSP, IEEE Access, IDT) and hands-on experience solving problems in computer vision, speech/audio, scientific machine learning, interpretability, and healthcare AI.
Previously, I was a postdoctoral researcher at LLNL, mentored by Dr. Jayaraman J. Thiagarajan, where I worked on a wide range of topics including surrogate modeling, failure detection in deep models, out-of-distribution generalization, robustness, and uncertainty quantification.
I completed my Ph.D. in Electrical Engineering at Arizona State University under the supervision of Dr. Andreas Spanias and Dr. Jayaraman J. Thiagarajan. My doctoral research focused on building reliable and deployable deep learning algorithms. Curious? You can read my thesis here.
My core research interests include (but are not limited to): deep learning, supervised and unsupervised learning, generative modeling, inverse problems, uncertainty quantification, explainable AI, and out-of-distribution detection.
If you're interested in collaborating, feel free to reach out via email — I’m usually very responsive!
