About Me

I am a Ph.D. student in Computer Science at the University of Missouri, advised by Dr. Tanu Malik. My research focuses on Efficiency in LLMs, Trustworthy AI, and Reproducibility in Systems. In Summer 2026, I will join Microsoft as a Research Data Science Intern.

Previously, I completed my M.S. in Computer Science at Missouri, advised by Dr. Jianlin Cheng and Dr. Grant Scott. I received my B.Tech from VIT University (Vellore Institute of Technology), where I worked on multilingual sentiment analysis advised by Dr. Soughbhagya Barpanda, with dataset and collaboration support from Dr. P. Kumaraguru (PRECOG, IIIT Hyderabad).

I was selected as a Google PhD Fellowship Nominee (2025) in NLP, one of three nominees from Missouri, and received the Outstanding Master’s Student Award (2025).

Research Interests: LLMs, NLP, Agentic AI, Trustworthy AI, Scalable ML Systems, Reproducibility

News

• 2025.12: Two papers accepted at AAAI 2026
• 2025.11: Joining Microsoft as Research Data Science Intern (Summer 2026)
• 2025.05: Earned my M.S. in Computer Science (GPA: 4.0/4.0) from the University of Missouri
• 2025.05: Received the Outstanding Master’s Student Award from the MU College of Engineering
• 2025.04: Selected as a Google PhD Fellowship Nominee (NLP) — one of three nominees from Missouri
• 2025.03: Achieved Runner-Up in the MUIDSI AI Hackathon ($1,000 prize)
• 2025.01: Two papers accepted at AAAI 2025
• 2024.01: Working as a TA for 100+ students in Web Development
• 2023.08: Began Ph.D. research on faithfulness, interpretability, and robustness in LLMs
• 2023.05: Graduated with B.Tech from VIT Vellore

Publications

2026

Efficient Multi-Model Orchestration for Self-Hosted Large Language Models

Bhanu Prakash Vangala, Tanu Malik, Ashish Gehani

Paper Code AAAI 2026

AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in Agents

Bhanu Prakash Vangala, Ammar Ali, Tanu Malik, Ashish Gehani

Paper Code AAAI 2026

2025

HalluMat: A Benchmark Dataset and Framework for Hallucination Detection in LLMs for Materials Science

Bhanu Prakash Vangala, Syed Mahmud, Prabhat Neupane, Janani Selvaraj, Jianlin Cheng

Paper Code AAAI 2025

HalluFormer: A Transformer-Based Framework for Detecting Hallucination in LLMs

Syed Mahmud, Prabhat Neupane, Janani Selvaraj, Bhanu Prakash Vangala, Jianlin Cheng

Paper Code AAAI 2025

Adaptive Inference: Orchestrating Fine-Tuned LLMs with Serverless GPUs in HPC Environments

Bhanu Prakash Vangala, Tanu Malik

Poster Code ACM SC 2025

Thesis & Earlier Work

Deploying LLMs as a Service in Kubernetes HPC Cluster

Bhanu Prakash Vangala, Grant Scott, Jianlin Cheng

Thesis M.S. Thesis 2025

KOO: Multilingual Sentiment Analysis on Social Media

Bhanu Prakash Vangala

Paper B.Tech Thesis 2023

Brain Tumor Detection in MRI Images Using Deep Learning

Bhanu Prakash Vangala

Project Report Code Research Project

Pneumonia Detection in Chest X-rays Using Deep Learning

Bhanu Prakash Vangala

Project Report Research Project

Honors and Awards

May 2025

Outstanding Master's Student Award, College of Engineering, University of Missouri

March 2025

Runner-Up – MUIDSI AI Hackathon for VisionAI: AI-Powered Assistance for the Visually Impaired ($1,000 prize)

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Education

Experience

Service

Reviewer: NeurIPS, ICML, ACL, CVPR, ICLR, AAAI, EMNLP, ECCV, ICCV, IJCAI, NAACL, ICASSP

Journals: TPAMI, TIP, TMLR, JVCI

Teaching

• Teaching Assistant, Web Development (MERN Stack) — Fall 2025, Fall 2024, Spring 2024, Fall 2023