Arsalan Akhter is a Research Computing Specialist with nine years of experience applying high-performance computing and optimization techniques to robotics and operations research problems. He has developed multiple MILP formulations and heuristic Ant Colony Optimization solvers for fuel-constrained vehicle routing and has practical experience tuning Gurobi and warm-starting MIPs for real-world AGV and warehouse applications. His work blends model-based systems engineering (SysML, HAZOP, FMEA) with algorithm development to reduce mission failures in multi-robot systems, translating design-level failure analysis into more resilient swarm missions. Currently supporting researchers at Northeastern University’s HPC cluster, he pairs hands-on code (public ACO repos and MILP implementations) with systems thinking—an unusual combination that bridges theoretical optimization and deployable robotics solutions.
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