World's Best Scientists 2026 revealed!
Prashant Mhaskar

Prashant Mhaskar

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
6444
World Ranking
4318
National Ranking
201

Prashant Mhaskar publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Prashant Mhaskar sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 196 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Prashant Mhaskar D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Prashant Mhaskar sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 41 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Prashant Mhaskar is affiliated with McMaster University in Canada and specializes in engineering, with a focus on control and systems engineering. Their research portfolio demonstrates extensive work in the intersection of advanced control systems and process optimization, employing both theoretical and applied methodologies within the field.

The scientist has contributed to numerous publications primarily within engineering and chemical engineering domains. Their frequent publication venues include:

  • Computers & Chemical Engineering
  • Industrial & Engineering Chemistry Research
  • AIChE Journal
  • The Canadian Journal of Chemical Engineering
  • Process Safety and Environmental Protection

Prashant Mhaskar's body of work spans several key topics, including:

  • Fault Detection and Control Systems
  • Advanced Control Systems Optimization
  • Control Systems and Identification
  • Process Optimization and Integration
  • Spectroscopy and Chemometric Analyses
  • Mineral Processing and Grinding
  • Viral Infectious Diseases and Gene Expression in Insects

Some notable recent papers authored by Prashant Mhaskar include:

  • Integrating dynamic neural network models with principal component analysis for adaptive model predictive control, 2020, Process Safety and Environmental Protection
  • A hybrid modeling approach integrating first-principles knowledge with statistical methods for fault detection in HVAC systems, 2020, Computers & Chemical Engineering
  • Adaptive system identification of industrial ethylene splitter: A comparison of subspace identification and artificial neural networks, 2021, Computers & Chemical Engineering
  • Model Predictive Control Embedding a Parallel Hybrid Modeling Strategy, 2021, Industrial & Engineering Chemistry Research
  • Artificial Neural Network-Based Model Predictive Control Using Correlated Data, 2022, Industrial & Engineering Chemistry Research

The scientist's research integrates techniques from multiple subfields, such as mechanical engineering, analytical chemistry, molecular biology, and artificial intelligence. They have been involved in applying control theory and advanced computational methods to optimize complex industrial and chemical engineering processes.

Collaboration is a significant component of their work. Frequent coauthors include:

  • Brandon Corbett
  • Hesam Hassanpour
  • Aswin Chandrasekar
  • Nikesh Patel
  • Vladimir Mahalec

Overall, the scientific contributions of Prashant Mhaskar center on system identification, model predictive control, and hybrid modeling approaches, which align with the broader fields of fault detection and advanced control system optimization in engineering contexts.

Best Publications

  • Predictive control of switched nonlinear systems with scheduled mode transitions

    P. Mhaskar;N.H. El-Farra;P.D. Christofides

  • Stabilization of nonlinear systems with state and control constraints using Lyapunov-based predictive control☆

    Prashant Mhaskar;Nael H. El-Farra;Panagiotis D. Christofides

  • Output feedback control of switched nonlinear systems using multiple Lyapunov functions

    Nael H. El-Farra;Prashant Mhaskar;Panagiotis D. Christofides

  • Predictive control of particle size distribution in particulate processes

    Dan Shi;Nael H. El-Farra;Mingheng Li;Prashant Mhaskar

  • Isolation and handling of actuator faults in nonlinear systems

    Prashant Mhaskar;Charles McFall;Adiwinata Gani;Panagiotis D. Christofides

  • Integrated fault-detection and fault-tolerant control of process systems

    Prashant Mhaskar;Adiwinata Gani;Nael H. El-Farra;Charles McFall

  • Predictive control of parabolic PDEs with state and control constraints

    Stevan Dubljevic;Nael H. El-Farra;Prashant Mhaskar;Panagiotis D. Christofides

  • Robust Model Predictive Control Design for Fault-Tolerant Control of Process Systems

    Prashant Mhaskar

  • Predictive control of transport-reaction processes

    Stevan Dubljevic;Prashant Mhaskar;Nael H. El-Farra;Panagiotis D. Christofides

  • Robust hybrid predictive control of nonlinear systems

    Prashant Mhaskar;Nael H. El-Farra;Panagiotis D. Christofides

  • Predictive control of crystal size distribution in protein crystallization.

    Dan Shi;Prashant Mhaskar;Nael H El-Farra;Panagiotis D Christofides

  • Subspace identification for data‐driven modeling and quality control of batch processes

    Brandon Corbett;Prashant Mhaskar

  • Fault-Tolerant Control of Nonlinear Processes: Performance-Based Reconfiguration and Robustness

    P. Mhaskar;A. Gani;P.D. Christofides

  • Predictive control methods to improve energy efficiency and reduce demand in buildings

    Tim Salsbury;Prashant Mhaskar;S. Joe Qin

  • Isolation and handling of sensor faults in nonlinear systems

    Unknown

  • Modeling and fault diagnosis design for HVAC systems using recurrent neural networks

    Hadi Shahnazari;Prashant Mhaskar;John M. House;Timothy I. Salsbury

  • Fault‐tolerant control of nonlinear process systems subject to sensor faults

    Prashant Mhaskar;Adiwinata Gani;Charles McFall;Panagiotis D. Christofides

  • Latent Variable Model Predictive Control (LV-MPC) for trajectory tracking in batch processes

    Masoud Golshan;John F. MacGregor;Mark-John Bruwer;Prashant Mhaskar

  • Robust predictive control of switched systems: Satisfying uncertain schedules subject to state and control constraints

    Prashant Mhaskar;Nael H. El-Farra;Panagiotis D. Christofides

  • Model-Based Control of Particulate Processes

    Panagiotis D. Christofides;Nael El-Farra;Mingheng Li;Prashant Mhaskar

  • Energy efficient model predictive building temperature control

    Matt Wallace;Ryan McBride;Siam Aumi;Prashant Mhaskar

  • Output feedback control of switched nonlinear systems using multiple Lyapunov functions

    N.H. EI-Farra;Prashant Mhaskar;P.D. Christofides

Frequent Co-Authors

Panagiotis D. Christofides
Panagiotis D. Christofides University of California, Los Angeles
Nael H. El-Farra
Nael H. El-Farra University of California, Davis
Jinfeng Liu
Jinfeng Liu University of Alberta
John F. MacGregor
John F. MacGregor McMaster University
Michael A. Henson
Michael A. Henson University of Chicago
Chandra Venkataraman
Chandra Venkataraman Indian Institute of Technology Bombay
Sigurd Skogestad
Sigurd Skogestad Norwegian University of Science and Technology
Thomas A. Adams
Thomas A. Adams Norwegian University of Science and Technology
S. Joe Qin
S. Joe Qin Lingnan University

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