Completed · Edge AI
ArtEdge: Real-Time Neural Style Transfer for Mobile Devices
A mobile-first iOS app for real-time, on-device neural style transfer, converting PyTorch models into Core ML packages for Neural Engine acceleration.
Columbia, SC
Nitin Gupta
AI Researcher · M.S. Computer Science @ University of South Carolina
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About
I'm a computer science researcher and lifelong learner at the University of South Carolina, where I'm pursuing an M.S. in Computer Science with an AI concentration after completing my B.S. in Computer Science with minors in Mathematics and Data Science.
My work bridges Neuro-symbolic AI, natural language processing, explainable AI, planning, knowledge graphs, and multimodal GenAI evaluation to create transparent systems that solve real-world problems.
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Selected updates
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Paper on learning transition models for generalized planning accepted at ICAPS 2026.
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Two GAICo papers accepted for IAAI/AAAI 2026 and AAAI Demo 2026 in Singapore.
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Started M.S. in Computer Science at the University of South Carolina with an AI concentration.
Update log Selected milestones
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Paper on learning transition models for generalized planning accepted at ICAPS 2026.
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Two GAICo papers accepted for IAAI/AAAI 2026 and AAAI Demo 2026 in Singapore.
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Started M.S. in Computer Science at the University of South Carolina with an AI concentration.
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Selected publications
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On Sample-Efficient Generalized Planning via Learned Transition Models
N. Gupta, V. Pallagani, J. A. Aydin, B. Srivastava
ICAPS 2026 DOI -
GAICo: A Deployed and Extensible Framework for Evaluating Diverse and Multimodal Generative AI Outputs
N. Gupta, P. Koppisetti, K. Lakkaraju, B. Srivastava
IAAI/AAAI 2026 DOI -
Building a Plan Ontology to Represent and Exploit Planning Knowledge and Its Applications
B. Muppasani, N. Gupta, V. Pallagani, B. Srivastava, R. Mutharaju, M. N. Huhns, V. Narayanan
Discover Data · Nov 2025 DOI
For a complete publication profile, visit Google Scholar.
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Latest Experience
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Aug 2024 - Present
AI Researcher
AIISC, University of South Carolina · Columbia, SC
Leading research in Neuro-symbolic AI and NLP across planning, knowledge graphs, and multimodal systems under Dr. Biplav Srivastava. Organized Safe AI for Seniors, mentored students, peer-reviewed 10+ papers, and contributed to 4+ peer-reviewed publications.
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Aug 2021 - Dec 2024
Volunteering Ambassador
Trew Friends, University of South Carolina · Columbia, SC
Promoted organ, eye, and tissue donation through community outreach, helping persuade 300+ individuals to register as donors.
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May 2024 - Aug 2024
Explainable AI Research Intern
AIISC, University of South Carolina · Columbia, SC
Developed a planning ontology and LLM framework for transparent plan explanations, analyzed traffic data for SCDHEC/SCDPS/NSCSC, and presented at the 2024 Summer Research Symposium.
For a complete experience history, visit LinkedIn.
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Projects
Completed · Recommender system
Beacon of Hope: Personalized Meal Plan Recommender
A context-aware meal recommendation system focused on diabetes and African-American dietary contexts, using ontologies, preferences, restrictions, and health goals for personalization.
Completed · RAG
RoostAI: A University-Centered Chatbot
A USC-focused RAG chatbot with scraping, chunking, vector database management, reranking, Streamlit UI, and evaluation workflows for university-related queries.
Completed · Computer vision
Segify: Semantic Segmentation for Localized Artistic Effects
An interactive Streamlit app that combines AdaIN style transfer with Segment Anything masks so users can localize artistic effects and tune the final result.
For a complete project list, visit GitHub.
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