activity
20102026
most citedJuniper: An Open-Source Nonlinear Branch-and-Bound Solver in Julia

74 citations · 246 across the 43 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

eess.SY2025

Sparse Neural Approximations for Bilevel Adversarial Problems in Power Grids

Young-ho Cho, Harsha Nagarajan, Deepjyoti Deka +1

The adversarial worst-case load shedding (AWLS) problem is pivotal for identifying critical contingencies under line outages. It is naturally cast as a bilevel program: the upper l…

quant-ph2025★ 2 cited

Provably Optimal Quantum Circuits with Mixed-Integer Programming

Harsha Nagarajan, Zsolt Szabó

We present a depth-aware optimization framework for quantum circuit compilation that unifies provable optimality with scalable heuristics. For exact synthesis of a target unitary,…

stat.AP2025

Hierarchical Semi-Markov Models with Duration-Aware Dynamics for Activity Sequences

Rohit Dube, Natarajan Gautam, Amarnath Banerjee +1

Residential electricity demand at granular scales is driven by what people do and for how long. Accurately forecasting this demand for applications like microgrid management and de…

math.OC2025

Optimal Trajectory Planning for Space Object Tracking with Collision-Avoidance Constraints

Saif R. Kazi, Harsha Nagarajan, Hassan Hijazi +1

A control optimization approach is presented for a chaser spacecraft tasked with maintaining proximity to a target space object while avoiding collisions. The target object traject…

math.OC2025

Reconfiguration and Real-Time Operation of Networked Microgrids Under Load Uncertainty

Hannah Moring, Bala Kameshwar Poolla, Harsha Nagarajan +3

Distribution networks are increasingly exposed to threats such as extreme weather, aging infrastructure, and cyber risks--resulting in more frequent contingencies and outages, a tr…

math.OC2025

Leveraging Quantum Computing for Accelerated Classical Algorithms in Power Systems Optimization

Rosemary Barrass, Harsha Nagarajan, Carleton Coffrin

The recent advent of commercially available quantum annealing hardware (QAH) has expanded opportunities for research into quantum annealing-based algorithms. In the domain of power…