World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
85
Citations
30691
World Ranking
801
National Ranking
434

Electronics and Electrical Engineering

D-Index
82
Citations
29145
World Ranking
454
National Ranking
210

Research.com Recognitions

  • 2003 - ACM Fellow For contributions to low power design and testing of digital systems.

Overview

Niraj K. Jha is affiliated with Princeton University in the United States and has a significant research presence in the field of Computer Science. Their published work spans a range of topics centered around artificial intelligence and electrical engineering, reflected in a diverse portfolio of papers, research collaborations, and focus areas.

The scientist's recent publications include:

  • Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics (2023), published in IEEE Transactions on Power Electronics
  • How MagNet: Machine Learning Framework for Modeling Power Magnetic Material Characteristics (2023), published in IEEE Transactions on Power Electronics
  • Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems (2022), published in IEEE Transactions on Emerging Topics in Computing
  • MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks (2022), published in ACM Transactions on Embedded Computing Systems
  • SHARKS: Smart Hacking Approaches for RisK Scanning in Internet-of-Things and Cyber-Physical Systems based on Machine learning (2021), published in IEEE Transactions on Emerging Topics in Computing

Their frequent co-authors include:

  • Shikhar Tuli
  • Shayan Hassantabar
  • Bhishma Dedhia
  • Hongxu Yin
  • Prerit Terway

Jha's publications are often featured in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Emerging Topics in Computing
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • ACM Transactions on Embedded Computing Systems
  • IEEE Transactions on Power Electronics

The scientist's main field of study is Computer Science, with significant focus on the following subfields:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Experimental and Cognitive Psychology

The primary research topics covered by their work include:

  • Advanced Neural Network Applications
  • Topic Modeling
  • Domain Adaptation and Few-Shot Learning
  • Machine Learning and Data Classification
  • Anomaly Detection Techniques and Applications
  • Advanced Multi-Objective Optimization Algorithms
  • COVID-19 diagnosis using AI

Recognition for contributions to the field includes the ACM Fellow award received in 2003, specifically for work in low power design and testing of digital systems.

Best Publications

  • Switching and Finite Automata Theory

    Zvi Kohavi;Niraj K. Jha

  • GARNET: A detailed on-chip network model inside a full-system simulator

    Niket Agarwal;Tushar Krishna;Li-Shiuan Peh;Niraj K. Jha

  • A Comprehensive Study of Security of Internet-of-Things

    Arsalan Mosenia;Niraj K. Jha

  • Dynamic voltage scaling with links for power optimization of interconnection networks

    Li Shang;Li-Shiuan Peh;N.K. Jha

  • A study of the energy consumption characteristics of cryptographic algorithms and security protocols

    N.R. Potlapally;S. Ravi;A. Raghunathan;N.K. Jha

  • Express virtual channels: towards the ideal interconnection fabric

    Amit Kumar;Li-Shiuan Peh;Partha Kundu;Niraj K. Jha

  • Testing of Digital Systems

    Niraj K. Jha;Sandeep Gupta

  • An Algorithm for Synthesis of Reversible Logic Circuits

    P. Gupta;A. Agrawal;N.K. Jha

  • Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion

    Hongxu Yin;Pavlo Molchanov;Jose M. Alvarez;Zhizhong Li

  • Hijacking an insulin pump: Security attacks and defenses for a diabetes therapy system

    Chunxiao Li;Anand Raghunathan;Niraj K. Jha

  • Analyzing the energy consumption of security protocols

    Nachiketh R. Potlapally;Srivaths Ravi;Anand Raghunathan;Niraj K. Jha

  • Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare

    Mehran Mozaffari-Kermani;Susmita Sur-Kolay;Anand Raghunathan;Niraj K. Jha

  • High-Level Power Analysis and Optimization

    Anand Raghunathan;Niraj K. Jha;Sujit Dey

  • MOGAC: a multiobjective genetic algorithm for hardware-software cosynthesis of distributed embedded systems

    R.P. Dick;N.K. Jha

  • FinFET Circuit Design

    Prateek Mishra;Anish Muttreja;Niraj K. Jha

  • Microfluidic chips: recent advances, critical strategies in design, applications and future perspectives.

    Prapti Pattanayak;Sachin Kumar Singh;Monica Gulati;Sukriti Vishwas

  • ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation

    Xiaoliang Dai;Yangqing Jia;Peter Vajda;Matt Uyttendaele

  • Design and synthesis of self-checking VLSI circuits

    N.K. Jha;S.-J. Wang

  • Power-conscious joint scheduling of periodic task graphs and aperiodic tasks in distributed real-time embedded systems

    Jiong Luo;Niraj K. Jha

  • MOGAC: a multiobjective genetic algorithm for the co-synthesis of hardware-software embedded systems

    Robert P. Dick;Niraj K. Jha

  • Fault-tolerant computer system design

    Niraj K. Jha

  • ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

    Xiaoliang Dai;Peizhao Zhang;Bichen Wu;Hongxu Yin

Frequent Co-Authors

Anand Raghunathan
Anand Raghunathan Purdue University West Lafayette
Li Shang
Li Shang University of Colorado Boulder
Lin Zhong
Lin Zhong Yale University
Sujit Dey
Sujit Dey University of California, San Diego
Li-Shiuan Peh
Li-Shiuan Peh National University of Singapore
Robert P. Dick
Robert P. Dick University of Michigan–Ann Arbor
Naveen Verma
Naveen Verma Princeton University
Sandip Kundu
Sandip Kundu University of Massachusetts Amherst
Jacob A. Abraham
Jacob A. Abraham The University of Texas at Austin
Srimat T. Chakradhar
Srimat T. Chakradhar NEC (United States)

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