Using Dedicated Functional Simulator for ASIC Design in Indian Context. - K. V. S. H. Rao; Raj Singh; Chandra Shekhar 001 (VLSI Design, 1992)

Evolution of Architectural Concepts and Design Methods of Microprocessors. - S. Srivastava; S. C. Bose; B. P. Mathur; Arti Noor; Raj Singh; A. S. Mandal; K. Prabhakaran; Arindam Karmakar; Chandra Shekhar 001; Sudhir Kumar; Amit K. Agarwal (VLSI Design, 1998)

SRAM embedded memory with low cost, flash EEPROM-switch-controlled redundancy. - Richard J. McPartland; D. J. Loeper; Frank P. Higgins; Raj Singh; G. MacDonald; Goh Komoriya; S. Aymeloglu; M. V. DePaolis; C. W. Leung (CICC, 2000)

Design of an Application Specific Instruction Set Processor for Parametric Speech Synthesis. - Ravi Saini; Pramod Tanwar; A. S. Mandal; S. C. Bose; Raj Singh; Chandra Shekhar 001 (VLSI Design, 2004)

Application Specific Instruction Set Processors: Redefining Hardware-Software Boundary. - Chandra Shekhar 001; Raj Singh; A. S. Mandal; S. C. Bose; Ravi Saini; Pramod Tanwar (VLSI Design, 2004)

An efficient algorithm for discovering positive and negative patterns. - Raj Singh; Tom Johnsten; Vijay V. Raghavan 001; Ying Xie 001 (GrC, 2009)

Efficient Algorithm for Discovering Potential Interesting Patterns with Closed Itemsets. - Raj Singh; Tom Johnsten; Vijay V. Raghavan 001; Ying Xie 001 (GrC, 2010)

An Efficient Approach for Discovering Interesting Patterns from Biomedical Data. - Raj Singh; Vikas Yadav (BICoB, 2011)

Algorithms for discovering potentially interesting patterns. - Raj Singh; Tom Johnsten; Vijay V. Raghavan 001; Ying Xie 001 (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2011)

Protocol Support for High Availability of IKEv2/IPsec. - Raj Singh; G. Kalyani; Yoav Nir; Yaron Sheffer; Dacheng Zhang (RFC, 2011)

Remarks on the Experimental Turn in the Study of Scalar Implicature, Part I. - Emmanuel Chemla; Raj Singh (Lang. Linguistics Compass, 2014)

Remarks on the Experimental Turn in the Study of Scalar Implicature, Part II. - Emmanuel Chemla; Raj Singh (Lang. Linguistics Compass, 2014)

Accommodating Presuppositions Is Inappropriate in Implausible Contexts. - Raj Singh; Evelina Fedorenko; Kyle Mahowald; Edward Gibson (Cogn. Sci., 2016)

Training and Timing Local Scalar Enrichments under Global Pragmatic Pressures. - Emmanuel Chemla; Chris Cummins; Raj Singh (J. Semant., 2017)

A Computational Approach to Feature Extraction for Identification of Suicidal Ideation in Tweets. - Ramit Sawhney; Prachi Manchanda; Raj Singh; Swati Aggarwal (ACL (3), 2018)

A High-Performance VLSI Architecture of the Present Cipher and its Implementations for SoCs. - Jai Gopal Pandey; Tarun Goel; Mausam Nayak; Chhavi Mitharwal; Abhijit Karmakar; Raj Singh (SoCC, 2018)

A VLSI Architecture for the PRESENT Block Cipher with FPGA and ASIC Implementations. - Jai Gopal Pandey; Tarun Goel; Mausam Nayak; Chhavi Mitharwal; Sajid Khan 001; Santosh Kumar Vishvakarma; Abhijit Karmakar; Raj Singh (VDAT, 2018)

Exploring and Learning Suicidal Ideation Connotations on Social Media with Deep Learning. - Ramit Sawhney; Prachi Manchanda; Puneet Mathur; Rajiv Ratn Shah; Raj Singh (WASSA@EMNLP, 2018)

Detecting presupposition failure with EEG. - Alice Xia; Roxana-Maria Barbu; Kathleen Van Benthem; Daniel Di Giovanni; Ida Toivonen; Raj Singh (CogSci, 2019)

Object Detection For Visually Impaired. - Raj Singh; Laksh Jethani; Shubh Sanghvi; Ratnesh Patil; Nabanita Mandal (OCIT, 2023)

Cognitive Primitives and Bayesian Number Word Learning. - Sean Riley; Zachary M. Savelson; Raj Singh (CogSci, 2023)

Smart Education Resource Management System: A Federated Game Theoretic Approach on Metaverse with Strict Preferences. - Sapthak Mohajon Turjya; Raj Singh; Pritam Sarkar; Sujata Swain; Anjan Bandyopadhyay (ICCCNT, 2024)

Game-Theoretic Resource Allocation and Dynamic Pricing Mechanism in Fog Computing. - Anjan Bandyopadhyay; Sujata Swain; Raj Singh; Pritam Sarkar; Siddhartha Bhattacharyya; Leo Mrsic (IEEE Access, 2024)

Ensemble Classification-Based Spectrum Sensing Using Support Vector Machine for CRN. - Manpreet Kaur; Raj Singh; Sandeep Kumar (CoRR, 2024)

Let's CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition. - Tara Azin; Daniel Dumitrescu; Diana Inkpen; Raj Singh (Canadian AI, 2025)