Collaborations

Research collaborations between Prof. Khandelwal and outside researchers

Prashant Chaudhary

Independent Researcher

Prashant Chaudhary is an independent researcher working on open problems in how streaming television advertising is delivered, accounted for, and measured. His research draws on more than 20 years of product leadership in advertising technology at 4INFO, Cadent, Yahoo, and Amagi, and uses analytical models and controlled simulation to examine dynamic ad insertion timing, ad break accounting, and connected TV measurement. He is a named inventor on US Patents 10,419,883 and 11,223,926 on statistically associating mobile and non-mobile devices with geographic areas, and holds an MBA from UCLA Anderson and a BS in Chemical Engineering from IIT Roorkee.

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Research areas

Combinatorics and discrete optimization: polytopes of doubly stochastic matrices, inverse knapsack problems, sumsets and numerical semigroups
Probability: sums of dependent random variables and joint tail bounds
Dynamic ad insertion in streaming television: trigger timing, deadline readiness, and event-aligned accounting
Ad pod economics: cost accounting and pricing for duration-constrained ad breaks

Publications and Preprints

Chaudhary, P. and Khandelwal, K. (2026). “Facets of the X-ray polytope of doubly stochastic matrices” arXiv:2610.30058
Chaudhary, P. and Khandelwal, K. (2026). “Sums of two dependent uniform random variables: a characterization by joint tail bounds” arXiv:2610.24197
Chaudhary, P. and Khandelwal, K. (2026). “Sumsets regularity versus Castelnuovo-Mumford regularity for monomial curves” arXiv:2610.24121
Chaudhary, P. and Khandelwal, K. (2026). "Inverse knapsack at two capacities: which pairs of value–cardinality hulls are realizable?" arXiv:2609.28128
Chaudhary, P. and Khandelwal, K. (2026). "Trigger Timing, Deadline Readiness, and Event-Aligned Accounting for Dynamic Ad Insertion" arXiv:2609.19899

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