Research
My work primarily focuses on neural combinatorial optimization, and approximation algorithms these days. I am particularly interested in modeling adversarial dynamics, sequential decision processes, and building exact solvers for combinatorial spaces. Below is a selection of my recent publications and manuscripts currently under review. Whether you're building in adjacent spaces, or exploring topologies, feel free to reach out to me via email.
Peer-Reviewed Publications
Kabir Murjani, M. Bhavsar, M. Patel, J. Talukdar. "AlphaRoute: LLMs as Semantic Optimizers for Multi-Objective Routing." IEEE International Conference on LLM-Aided Design (LAD), Stanford University, 2026. (Oral)[arXiv][Code]
- LLM-guided global router for VLSI physical design on the ISPD 2025 benchmarks: a language model tunes the PathFinder penalties while a knowledge graph keeps every suggestion inside the feasible design space.
Kabir Murjani. "Zero-Copy Semantic Contagion: An In-Memory Streaming Architecture for Evolving Attention Graphs." ACM SIGMOD Workshop on Data Management for the Financial Systems (FinDS), 2026. (Oral)[arXiv][Code]
- A zero-copy Rust engine for continuous-time contagion modeling over evolving attention graphs, with the streaming vector-similarity pipeline and benchmarking harness released alongside.
Kabir Murjani, Aum Joshi, Kuntal Bhattacharjee. "A Lagrangian View of Trading Pixels for Parameters." 17th Indian Conference on Computer Vision, Graphics and Image Processing, ACM ICPS, Kolkata, India, 2026. (Oral)[OpenReview][Code]
- PIXELS implements the six-stage underwater image compensator and computational allocation model described in A Lagrangian View of Trading Pixels for Parameters. The formulation treats preprocessing and detection as coupled uses of an inference budget.
Manuscripts Under Review
Kabir Murjani, Abhay Sobhanan. "Drive, Pack, Fly: The Travelling Thief Problem with Drone." Under review, European Journal of Operational Research (EJOR).[arXiv][Code][Data][Weights]
- A capacitated truck whose velocity decays affinely with load, paired with a single-package drone launching and rejoining at route nodes. Exact MILP, metaheuristics, attention policies, and a learner-initialised hybrid.
- Released with 219 benchmark instances, 60 trained policies, and the full result tables on Hugging Face.
Kabir Murjani, Nisarg Patel. "Exact Distinguishability in Non-Markovian Decision Processes." Under review, 30th International Conference on Artificial Intelligence and Statistics (AISTATS), Montr´eal, Canada)
- Exact Distinguishability in Non-Markovian Decision Processes: the PEC certifier, experiments and Lean 4 proofs