Abhijit Mishra
Portrait of Abhijit Mishra

Academic Profile

Abhijit Mishra (PhD)

Assistant Professor of Practice · School of Information · The University of Texas at Austin
Co-founder and CTO, Voila Voice inc.

1616 Guadalupe St, Suite 5.202, Austin, TX 78701
Research areas: multimodal AI, cognitive NLP, EEG-language modeling, reliable and human-centered AI.

Multimodal AI Cognitive NLP EEG × LLM AI Safety

About

I am an AI researcher, educator, and active practitioner working at the intersection of language, vision, speech, and neuro-signals. Over the past 10+ years, I have not only studied these systems, but personally designed, built, deployed, and stress-tested foundational models, generative systems, and multimodal and multilingual AI across research labs and live production environments.

Even within academia, I stay deliberately hands-on: I write code, train and ship models, run real evaluations, and instrument systems against real users and real data. My research integrates cognitive science with modern machine learning to deliver robust, human-centered, and field-tested solutions for healthcare, assistive intelligence, and advanced language technologies.

I hold a PhD in Computer Science and Engineering from IIT Bombay, with specialization in machine learning and natural language processing.

My industry journey includes high-impact, ship-oriented roles at Apple Siri and IBM Research. I continue that practitioner stance today as Co-founder and CTO at VoilaVoice, where I own architecture and deployment end-to-end, and as a Senior Agentic RAG Consultant at Texas Sports Academy, helping translate research-grade AI into real classrooms and athletic programs.

Industry Spotlight

From enterprise AI to frontier conversational systems: I helped build and ship language technologies across research and product environments, spanning large-scale experimentation, deployment, and user-facing intelligence.

IBM Research · Generative NLP Apple Siri · Conversational AI Voila Voice · CTO · Full-Stack Ownership Academia · Cognitive Multimodal AI

Research & Teaching

  • EEG-to-text generation and neuro-aligned language models.
  • Multimodal reasoning and privacy-aware LLM systems.
  • Courses: INF 385T (Deep Learning & Multimodal), INF 385T (NLP), I 320D, I 310D.

Mentorship & Service

  • Mentoring UT Austin Informatics/MSIS thesis and capstone students.
  • Area Chair: AAAI 2026, ACL-ARR 2025/2026.
  • Reviewer/PC roles across ACL, EMNLP, NAACL, EACL, IJCAI, COLING, TACL, NeurIPS, and CVPR.

Detailed Pages