Anish Nethi

I am a second-year M.S. student in Computer Science at the University of Texas at Austin. My research centers on building models that can understand, anticipate, and assist human activity from video. I am particularly interested in long-horizon video reasoning, temporal modeling, and the integration of multimodal cues to improve anticipation and feedback in complex tasks.

My recent work explores pre-emptive error detection in procedural videos and reinforcement learning frameworks for adaptive view selection in ego–exo instructional settings.

I’m always happy to chat about ideas around video understanding, skill assessment/coaching, and multimodal reasoning. If you’re working on related problems or datasets and want to discuss potential collaboration, feel free to reach out by email.

Portrait of Anish Nethi

Affiliations

UT Austin logo UT Austin Aug 2024 – May 2026
Amazon Web Services logo Amazon Web Services May 2025 – Aug 2025
IIT Guwahati logo IIT Guwahati Jul 2023 – Jul 2024
Arizona State University logo Arizona State University May 2023 – Jun 2024
National University of Singapore logo NUS Jun 2022 – Jul 2022

News

May 2025: Joined Amazon Web Services (Glue Connectivity) as an SDE - AI/ML intern.
Aug 2024: Started as a Teaching Assistant for M325K: Discrete Mathematics at UT Austin.
Aug 2024: Started M.S. in Computer Science at UT Austin.
Dec 2023: Presented Cohesive Group Emotion Recognition Using Deep Learning at SNPD 2023.
Oct 2023: Multiplicative Gaussian Noise Removal using Partial Differential Equations and Activation Functions: A Robust and Stable Approach appeared in ICACS 2023.
Sep 2023: BMI Prediction for Full Body Images Using PoseNet Embeddings presented at ICETCI 2023.
Sep 2023: Detecting DeepFakes: A Deep Convolutional Neural Network Approach with Depth-Wise Separable Convolutions presented at ICETCI 2023.
Jul 2023: Started as a Research Assistant at IIT Guwahati.
May 2023: Started as a Research Intern at Arizona State University.
Oct 2022: Started as a Research Assistant at Mahindra University.
Jun 2022: Started as a Research Intern at the National University of Singapore.

Publications

Get in Touch

Feel free to reach out for research collaborations or just to chat about computer vision and machine learning. I’m currently based in Austin, Texas.