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Jawahar Jain

Researcher at Fujitsu

Publications -  149
Citations -  2160

Jawahar Jain is an academic researcher from Fujitsu. The author has contributed to research in topics: Binary decision diagram & Set (abstract data type). The author has an hindex of 24, co-authored 149 publications receiving 2147 citations.

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Proceedings ArticleDOI

Partitioned ROBDDs—a compact, canonical and efficiently manipulable representation for Boolean functions

TL;DR: A new representation for Boolean functions called Partitioned ROBDDs is presented, which is divide the Boolean space into 'k' partitions and represents a function over each partition as a separate ROBDD.
Proceedings ArticleDOI

Reachability analysis using partitioned-ROBDDs

TL;DR: This work proposes the use of partitioned ROBDDs to reduce the memory explosion problem associated with symbolic state space exploration techniques and shows the effectiveness of this approach on a set of ISCAS89 benchmark circuits.
Proceedings ArticleDOI

Advanced Verification Techniques Based on Learning

TL;DR: This work presents a verification method which employs a learning technique based on symbolic manipulation and which can more efficiently learn indirect implications, and a framework in which an indirect implication technique is integrated with an OBDD based verification tool.
Patent

Data aggregation platform

TL;DR: In this paper, a method for accessing an original data stream from a sensor, associating a timestamp with each of the samples in the data stream based on a system clock, and recording the original data streams with the associated timestamps is presented.
Patent

Method for verifying and representing hardware by decomposition and partitioning

TL;DR: In this article, a system and method for representing digital circuits and systems in multiple partitions of Boolean space, and for performing digital circuit or system validation using the multiple partitions is presented.