World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
65
Citations
15520
World Ranking
1223
National Ranking
500

Overview

Krishna R. Pattipati is affiliated with the University of Connecticut in the United States. Their research spans engineering and computer science, with a particular focus on electrical and electronic engineering, automotive engineering, artificial intelligence, mechanical engineering, and control and systems engineering.

The scientist's work covers various specialized topics, including:

  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Advanced machining processes and optimization
  • Advanced Battery Materials and Technologies
  • Fault Detection and Control Systems
  • COVID-19 epidemiological studies
  • Data-Driven Disease Surveillance

Krishna R. Pattipati has contributed to multiple publications, with recent papers including:

  • A Critical Look at Coulomb Counting Approach for State of Charge Estimation in Batteries, 2021, Energies
  • Battery Management Systems-Challenges and Some Solutions, 2020, Energies
  • Open-Circuit Voltage Models for Battery Management Systems: A Review, 2022, Energies
  • Classification and regression models of audio and vibration signals for machine state monitoring in precision machining systems, 2021, Journal of Manufacturing Systems
  • On the Identification of Noise Covariances and Adaptive Kalman Filtering: A New Look at a 50 Year-Old Problem, 2020, IEEE Access

The scientist frequently publishes in several venues, notably:

  • IEEE Access
  • Energies
  • arXiv (Cornell University)
  • Journal of Manufacturing Systems
  • IEEE Journal of Emerging and Selected Topics in Industrial Electronics

Collaborations are an important aspect of Krishna R. Pattipati's work. Frequently co-authored researchers include:

  • Balakumar Balasingam
  • Adam Bienkowski
  • George M. Bollas
  • Debasish Mishra
  • F. Palmieri

Best Publications

  • A generalized S-D assignment algorithm for multisensor-multitarget state estimation

    Somnath Deb;Murali Yeddanapudi;Krishna Pattipati;Y. Bar-Shalom

  • Ground target tracking with variable structure IMM estimator

    T. Kirubarajan;Y. Bar-Shalom;K.R. Pattipati;I. Kadar

  • Application of heuristic search and information theory to sequential fault diagnosis

    K.R. Pattipati;M.G. Alexandridis

  • A new relaxation algorithm and passive sensor data association

    K.R. Pattipati;S. Deb;Y. Bar-Shalom;R.B. Washburn

  • A practical approach to job-shop scheduling problems

    D.J. Hoitomt;P.B. Luh;K.R. Pattipati

  • System Identification and Estimation Framework for Pivotal Automotive Battery Management System Characteristics

    B. Pattipati;C. Sankavaram;K. Pattipati

  • Near-optimal multiuser detection in synchronous CDMA using probabilistic data association

    J. Luo;K.R. Pattipati;P.K. Willett;F. Hasegawa

  • Model-based prognostic techniques [maintenance applications]

    Jianhui Luo;M. Namburu;K. Pattipati;Liu Qiao

  • Model-Based Prognostic Techniques Applied to a Suspension System

    Jianhui Luo;K.R. Pattipati;Liu Qiao;S. Chigusa

  • Normative design of organizations. I. Mission planning

    G.M. Levchuk;Y.N. Levchuk;Jie Luo;K.R. Pattipati

  • Open circuit voltage characterization of lithium-ion batteries

    B. Pattipati;B. Balasingam;G.V. Avvari;K.R. Pattipati

  • Schedule generation and reconfiguration for parallel machines

    P.B. Luh;D.J. Hoitomt;E. Max;K.R. Pattipati

  • Multi-signal flow graphs: a novel approach for system testability analysis and fault diagnosis

    Unknown

  • m-best S-D assignment algorithm with application to multitarget tracking

    R.L. Popp;K.R. Pattipati;Y. Bar-Shalom

  • IMM estimation for multitarget-multisensor air traffic surveillance

    M. Yeddanapudi;Y. Bar-Shalom;K. Pattipati

  • Normative design of organizations. II. Organizational structure

    G.M. Levchuk;Y.N. Levchuk;Jie Luo;K.R. Pattipati

  • Sequential testing algorithms for multiple fault diagnosis

    M. Shakeri;V. Raghavan;K.R. Pattipati;A. Patterson-Hine

  • Data-Driven Modeling, Fault Diagnosis and Optimal Sensor Selection for HVAC Chillers

    S.M. Namburu;M.S. Azam;Jianhui Luo;Kihoon Choi

  • Rollout strategies for sequential fault diagnosis

    Fang Tu;K.R. Pattipati

  • Multiassignment for tracking a large number of overlapping objects [and application to fibroblast cells]

    T. Kirubarajan;Y. Bar-Shalom;K.R. Pattipati

  • A hidden Markov model-based algorithm for fault diagnosis with partial and imperfect tests

    Jie Ying;T. Kirubarajan;K.R. Pattipati;A. Patterson-Hine

  • Computationally efficient algorithms for multiple fault diagnosis in large graph-based systems

    Fang Tu;K.R. Pattipati;S. Deb;V.N. Malepati

Frequent Co-Authors

Yaakov Bar-Shalom
Yaakov Bar-Shalom University of Connecticut
Peter Willett
Peter Willett University of Connecticut
Peter B. Luh
Peter B. Luh University of Connecticut
Thiagalingam Kirubarajan
Thiagalingam Kirubarajan McMaster University
Shengli Zhou
Shengli Zhou University of Connecticut
Eric H. Jordan
Eric H. Jordan University of Connecticut
Xiaoli Ma
Xiaoli Ma Georgia Institute of Technology
Michael Pecht
Michael Pecht University of Maryland, College Park
Yongho Sohn
Yongho Sohn University of Central Florida
Jim Kurose
Jim Kurose University of Massachusetts Amherst

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