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Maharaj Mukherjee

Researcher at IBM

Publications -  115
Citations -  1071

Maharaj Mukherjee is an academic researcher from IBM. The author has contributed to research in topics: Optical proximity correction & Set (abstract data type). The author has an hindex of 17, co-authored 115 publications receiving 1068 citations.

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Patent

Deployment criteria for unmanned aerial vehicles to improve cellular phone communications

TL;DR: In this paper, a system and a computer program product for extending mobile device cellular carrier network coverage using unmanned aerial vehicles (UAVs) equipped with telecommunications devices to act as temporary cellular network towers is presented.
Patent

Printability verification by progressive modeling accuracy

TL;DR: In this paper, a method of verifying a lithographic mask design is provided wherein catastrophic errors (432) are identified by iteratively simulating and verifying images for the mask layout using progressively more accurate image models (411), including optical and resist models.
Patent

Method for adaptive segment refinement in optical proximity correction

TL;DR: In this paper, a method of designing lithographic masks is provided where mask segments used in a model-based optical proximity correction (MBOPC) scheme are adaptively refined based on local image information, such as image intensity, gradient and curvature.
Patent

Dynamic real-time carpool matching

TL;DR: In this paper, a method for real-time carpool matching is provided. But the method is based on a plurality of carpool route segments and assigns each carpool match a viability value.
Patent

System and method of fault detection, diagnosis and prevention for complex computing systems

TL;DR: In this paper, a method for diagnosing failures in an object-oriented software system is presented, which comprises collecting runtime diagnostic information; maintaining a record of the diagnostic information in a storage buffer; and dynamically updating the record of diagnostic information to include a group of the diagn information collected over a most recent occurrence of a predetermined interval.