Satyam Paul Let’s connect

DR SATYAM PAUL · PHD, CONTROL SYSTEMS

Intelligent control.
Reliable machines.

I develop control and diagnostic methods that connect mathematical rigour with the demands of real engineering systems.

Senior Lecturer in Mechanical Engineering
Örebro University, Sweden

Dr Satyam Paul at the waterfront, with the city skyline behind him
Researcher. Educator. Engineer.
15+ yearsAcross teaching, research and engineering
PhD · Control SystemsCINVESTAV-IPN, Mexico
FHEAFellow of the Higher Education Academy, UK
PGCHEUniversity of the West of England, Bristol, UK
Postdoctoral ResearcherÖrebro University, Sweden
Postdoctoral ResearcherTecnológico de Monterrey, Mexico
Senior Research FellowUniversity of Nottingham, UK

LATEST NEWS · SEPTEMBER 2026

Latest news

16–17 SEPTEMBER 2026 · ESKILSTUNA, SWEDEN

Research exchange at SIMS 2026

I recently attended the 67th International Conference of the Scandinavian Simulation Society (SIMS 2026) in Eskilstuna, Sweden. My contribution with Magnus Löfstrand was “Vibration-Based RUL Prediction for Deep-Hole Drilling Using Support Vector Machines.” I also served as an Associate Editor for the conference.

More about SIMS 2026

PUBLISHED · 30 SEPTEMBER 2026

Published: hybrid PID and reinforcement learning for vibration control

My paper with Magnus Löfstrand and D. Khodadad, “Hybrid PID-reinforcement learning control for active vibration suppression in milling processes,” was published on 30 September 2026 in The International Journal of Advanced Manufacturing Technology (Springer).

Read the published paper

01 / RESEARCH

Control grounded in physics.
Intelligence shaped by data.

How can mechanical systems remain reliable when dynamics, disturbances and operating conditions change? This question connects my work across vibration control, diagnostics and intelligent mechatronics.

01

Nonlinear vibration control

Controllers for unwanted vibration in structures, milling processes and drilling systems, with attention to uncertainty and coupled dynamics.

  • Sliding mode
  • Fuzzy PD/PID
  • Discrete-time control
02

Intelligent control & learning

Reinforcement learning that tunes or augments established control architectures, supported by physical models and Lyapunov-based analysis.

  • Reinforcement learning
  • Lyapunov methods
03

Fault detection & prognosis

Model-based observers, vibration features and machine learning for condition monitoring, early fault detection and remaining useful life prediction.

  • Observers
  • Condition monitoring
  • RUL prediction
04

Applied mechatronics

Control-oriented modelling and simulation for robotic manipulators, electromechanical systems, production equipment and gas turbine applications.

  • MATLAB/Simulink
  • LabVIEW
  • Experimental systems

NEXT RESEARCH DIRECTION

Learning-enabled control
with a mathematical foundation.

My future research programme connects physics-informed reinforcement learning, Lyapunov analysis and fault-aware control. I aim to develop interpretable controllers and reproducible benchmarks for uncertain mechanical systems.

Read my research statement PDF · 11 pages

02 / INDUSTRY & COLLABORATION

Where the theory
meets the machine.

My collaborative research connects control design and diagnostics with engineering priorities: machining stability, equipment reliability and informed maintenance decisions.

MINING & MANUFACTURING2018–2020

Detecting faults
in drilling systems

At Örebro University, I developed a model-based estimator for vibration-induced drill-rig faults and initiated work on drill-bit remaining useful life prediction.

Engineering focus

Earlier fault identification and condition-informed maintenance.

Project partners included

Epiroc · LKAB · Alkit Communications · Mobilaris

PRECISION MANUFACTURING2018

Controlling chatter
in milling

At Tecnológico de Monterrey, I developed active chatter-control strategies combining type-2 fuzzy PD/PID and discrete-time sliding-mode control.

Engineering focus

Vibration attenuation, machining stability and surface quality.

Industrial research collaboration

Bocar Group, Mexico

GAS TURBINES & TRANSMISSIONS2022–2023

Optimising dynamic
system performance

At the University of Nottingham, I contributed control strategies and optimisation algorithms within the Cornerstone-funded research collaboration.

Engineering focus

Performance, efficiency and operational reliability.

Collaboration involved

University of Oxford · Imperial College London · Rolls-Royce

Have a control or reliability challenge?

I welcome conversations about collaborative research, modelling and simulation, control design, diagnostics and industry-linked student projects.

Discuss a collaboration

03 / SELECTED PUBLICATIONS

Ideas, methods
and published work.

A selection spanning learning-based control, manufacturing, mechatronics and structural vibration.

Full publication record on Google Scholar
2026Review article

Frontiers in Mechanical Engineering

A Review on Condition Monitoring and Control of Industrial Drilling Systems: Fault Detection, Fuzzy Control, and Human-Induced Faults

Satyam Paul & Magnus Löfstrand

2021Journal article

International Journal of Automation and Computing

Fuzzy Tuned PID Controller for Envisioned Agricultural Manipulator

S. Paul, A. Arunachalam, H. Andreasson, D. Khodadad & O. Rubanenko

2020Book

SpringerBriefs in Applied Sciences and Technology

Active Control of Bidirectional Structural Vibration

W. Yu & Satyam Paul

2018Journal article

IEEE Access · 6, 72698–72713

Active Control of Chatter in Milling Process Using Intelligent PD/PID Control

Satyam Paul & Ruben Morales-Menendez

EXPLORE THE FULL RECORD

Complete publication record

2026Journal article

Scientific Reports, Nature Portfolio

A Vibration Control Method for Chatter Mitigation in Milling Process Based on Sliding Mode Control and Reinforcement Learning

Paul, S.

2026Journal article

Frontiers in Mechanical Engineering

A Review on Condition Monitoring and Control of Industrial Drilling Systems: Fault Detection, Fuzzy Control, and Human-Induced Faults

Paul, S.; Löfstrand, M.

2026Journal article

Journal of Optics

Fuzzy reliability framework for optical phase unwrapping

Khodadad, D.; Paul, S.

2026Conference paper

67th International Conference of Scandinavian Simulation Society (SIMS 2026), Eskilstuna, SwedenAccepted contribution

Vibration-Based RUL Prediction for Deep-Hole Drilling Using Support Vector Machines

Paul, S.; Löfstrand, M.

2026Conference paper

10th International Conference on Robotics, Control and Automation (ICRCA 2026), Osaka, Japan. IEEE Conference Proceedings

Interval Type-2 Fuzzy PID Control for Negative-Damping Torsional Vibrations in Rotary-Percussive Drilling

Paul, S.; Löfstrand, M.; Eklund, P.

2026Conference paper

12th International Conference on Mechatronics and Robotics Engineering (ICMRE 2026), University of Oldenburg, Germany. IEEE Conference Proceedings

Vibration-Based Automatic Fault Detection for Rotary-Percussive Drilling via IT2 TS Fuzzy Modelling and Adaptive Observer

Paul, S.; Löfstrand, M.

2025Journal article

Sensing and Bio-Sensing Research, 48, 100790

Adaptive resolution in speckle displacement measurement using optimized grid-based phase correlation and statistical refinement

Sabahno, H.; Paul, S.; Khodadad, D.

2025Conference paper

Proceedings of the 27th International DSM Conference (DSM 2025), Hoboken, New Jersey, USA, 21–30

DSM Relational Structures Extended With Fuzzy Sets Of Higher Types

Eklund, P.; Löfstrand, M.; Paul, S.; Goodarzi, M.

2023Journal article

Tribology International, 108817

Electrotribodynamics of ball bearings in electrical machines

Turnbull, R.; Rahmani, R.; Paul, S.; Rahnejat, H.

2023Journal article

Applied Sciences, 13(14), 8423

Temperature Sensing in Space and Transparent Media: Advancements in Off-Axis Digital Holography and the Temperature Coefficient of Refractive Index

Khodadad, D.; Tayebi, B.; Saremi, A.; Paul, S.

2023Journal article

Mathematics, 11(13), 3022

Mathematical modelling of fused deposition modeling (FDM) 3D printing of poly vinyl alcohol parts through statistical design of experiments approach

Moradi, M.; Karamimoghadam, M.; Meiabadi, S.; Casalino, G.; Ghaleeh, M.; Baby, B.; Paul, S.; Khodadad, D.

2021Journal article

International Journal of Automation and Computing

Fuzzy Tuned PID Controller for Envisioned Agricultural Manipulator

Paul, S.; Arunachalam, A.; Andreasson, H.; Khodadad, D.; Rubanenko, O.

2021Book chapter

Encyclopedia of Information Science and Technology, 290–314. IGI Global

Modeling of uncertain nonlinear system with Z-numbers

Jafari, R.; Razvarz, S.; Gegov, A.; Paul, S.

2020Journal article

Przegląd Elektrotechniczny

Measures and technical means for increasing efficiency and reliability of extra high voltage transmission lines

Kuchanskyy, V.; Paul, S.; Rubanenko, O.; Hunko, I.

2020Conference paper

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE

Fuzzy tuned PID controller for vibration control of agricultural manipulator

Paul, S.; Arunachalam, A.; Khodadad, D.; Rubanenko, O.

2020Conference paper

2019 7th International Conference on Control, Mechatronics and Automation (ICCMA). IEEE

Intelligent fault detection scheme for drilling process

Paul, S.; Löfstrand, M.

2020Book

SpringerBriefs in Applied Sciences and Technology. Springer International Publishing

Active Control of Bidirectional Structural Vibration

Yu, W.; Paul, S.

2020Book chapter

Advances in Intelligent Systems and Computing, 1121, 381–390. Springer

Discrete time sliding mode control of milling chatter

Paul, S.; Löfstrand, M.

2020Book chapter

Emerging Trends in Civil Engineering. Babu, K.; Rao, H.; Amarnath, Y. (eds). Lecture Notes in Civil Engineering, 61. Springer

Stability Analysis and Bidirectional Vibration Control of Structure

Paul, S.; Yu, W.; Jafari, R.

2019Journal article

Transactions of the Institute of Measurement and Control, 41(2)

Discrete-time sliding mode for building structure bidirectional active vibration control

Paul, S.; Yu, W.; Li, X.

2019Book chapter

Advances in Computational Intelligence Systems (UKCI 2018). Lotfi, A.; Bouchachia, H.; Gegov, A.; Langensiepen, C.; McGinnity, M. (eds). Advances in Intelligent Systems and Computing, 840. Springer

Fuzzy modeling for uncertain nonlinear systems using fuzzy equations and Z-numbers

Jafari, R.; Razvarz, S.; Gegov, A.; Paul, S.; Keshtkar, S.

2019Book chapter

Advanced Fuzzy Logic Approaches in Engineering Science, 18–48. IGI Global

Fuzzy Sumudu Transform Approach to Solving Fuzzy Differential Equations With Z-Numbers

Jafari, R.; Razvarz, S.; Gegov, A.; Paul, S.; Keshtkar, S.

2018Journal article

IEEE Access, 6, 72698–72713

Active control of chatter in milling process using intelligent PD/PID control

Paul, S.; Morales-Menendez, R.

2018Journal article

Advances in Science, Technology and Engineering Systems, 3(5), 339–353

Recent advances in intelligent-based structural health monitoring of civil structures

Paul, S.; Jafari, R.

2018Journal article

International Journal of Systems Science, 49(4), 766–782

Bidirectional active control of structures with type-2 fuzzy PD and PID

Paul, S.; Yu, W.; Li, X.

2018Journal article

Journal of Vibration and Control, 24(15), 3400–3417

A method for bidirectional active control of structures

Paul, S.; Yu, W.

2018Book chapter

Fuzzy Modeling and Control: Methods, Applications and Research. Mullins, D.; Harvey, T. (eds)

Neural Network Approach to Solving Fully Fuzzy Nonlinear Systems

Razvarz, S.; Jafari, R.; Gegov, A.; Yu, W.; Paul, S.

2017Conference paper

2017 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE

Type-2 fuzzy PID for active control of bidirectional structures

Paul, S.; Yu, W.

2016Journal article

Shock and Vibration, 2016, 1–17

Recent advances in bidirectional modeling and structural control

Paul, S.; Yu, W.; Li, X.

2016Conference paper

Proceedings of the 5th International Conference on Mechatronics and Control Engineering (ICMCE ’16). ACM

Intelligent techniques for bidirectional structural health monitoring

Paul, S.; Yu, W.

2016Conference paper

2016 13th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE

Stable active vibration control of building structure subjected to bidirectional earthquake

Paul, S.; Yu, W.

2015Conference paper

2015 Resilience Week (RWS). IEEE

Advances in bidirectional modeling and structural control

Paul, S.; Yu, W.

2013Journal article

International Journal of Scientific & Engineering Research, 4(7)

Conceptual design and development of automated drilling system

Paul, S.; Gupta, P.; Singh, M.; Singh, N.

2013Journal article

International Journal of Emerging Technology and Advanced Engineering, 3(4)

Automatic control and monitoring system for safer working environment in oil collecting station

Paul, S.

Current manuscripts

2026Manuscript

Under review

Robust Vibration-Based Fault Detection for Rotary-Percussive Drilling Using IT2 T-S Fuzzy Modeling and Sliding Mode Observer

S. Paul

04 / TEACHING & SUPERVISION

Helping students
think like engineers.

I teach across mechanical engineering, control, mechatronics and production systems, connecting analytical foundations with simulation, experiments and industrial decisions.

“Engineering students learn best when theory is connected to real systems, real data, and real decisions.”

FHEAAdvance HE, United Kingdom

PGCHEUniversity of the West of England

Doctoral supervision trainingÖrebro University, 2026

01

Research in the classroom

Drilling systems, gas turbines and robotic manipulators turn abstract models into engineering questions students can investigate.

02

Learning through practice

Flipped classes, worked problems, simulations and laboratory tasks give students time to test ideas and interpret results.

03

Clear, inclusive assessment

Aligned learning outcomes, transparent criteria and regular peer and tutor feedback help students understand how to improve.

Teaching areas

  • Control engineering
  • Dynamics & vibration
  • Mechatronics
  • Production simulation
  • Sustainable production
  • Mechanical engineering

Supervision & academic leadership

My experience includes bachelor’s and master’s project supervision, module leadership, curriculum development and degree apprenticeship programme leadership. I support students in framing problems, justifying methods and communicating results.

Read my teaching statement PDF · 6 pages

05 / ACADEMIC JOURNEY

A global perspective.
A connected research path.

From structural vibration experiments to industrial diagnostics and learning-enabled control, each chapter has added a new perspective on engineering reliable systems.

  1. 2025–present

    Örebro University

    Senior Lecturer · Mechanical Engineering

    Research, teaching, course development and supervision in Sweden.

  2. 2023–2025

    Mälardalen University

    Assistant Professor–Research

    Control systems, design optimisation, simulation and diagnostics.

  3. 2022–2023

    University of Nottingham

    Senior Research Fellow · Control Systems

    Gas turbine and transmission research through the Cornerstone collaboration.

  4. 2020–2022

    University of the West of England

    Assistant Professor · Mechatronics

    Control engineering research, teaching and programme leadership.

  5. 2018–2020

    Örebro University

    Postdoctoral Researcher

    Intelligent fault detection and useful life prediction for manufacturing systems.

  6. 2018

    Tecnológico de Monterrey

    Postdoctoral Researcher

    Intelligent control of chatter in milling, in collaboration with Bocar Group.

  7. 2014–2018

    CINVESTAV-IPN

    PhD · Control Systems

    Bidirectional seismic analysis and structural control, including a two-floor experimental test setup and active vibration control.

  8. 2009–2013

    Academic foundations in India

    Assistant Professor · Mechanical Engineering

    Sikkim Manipal Institute of Technology and Sir Padampat Singhania University.

06 / CONFERENCES & RESEARCH EXCHANGE

Ideas shared.
Connections made.

International conferences and research exchanges connect my work with colleagues across control, mechatronics, simulation and industrial systems.

NEW YORK–NEW JERSEY · USA

DSM 2025

27th International DSM Conference

24–26 September 2025

Stevens Institute of Technology, Hoboken, New Jersey, USA

Research exchange in the New York metropolitan area, exploring relationships and dependencies within complex engineering systems.

Conference contribution

DSM Relational Structures Extended With Fuzzy Sets Of Higher Types

Conference details

Further conference participation

  1. March 2026

  2. 2–4 March 2026

  3. 2022

    Cornerstone Conference

    Queen’s University Belfast, Northern Ireland

    Research exchange with the University of Oxford, Imperial College London and Rolls-Royce

  4. 6–8 November 2019

    7th International Conference on Control, Mechatronics and Automation (ICCMA)

    TU Delft, Netherlands

    Conference participation and Technical Committee Member

  5. 2017

    IEEE International Conference on Industrial Technology (ICIT)

    Canada

  6. 2016

    5th International Conference on Mechatronics and Control Engineering (ICMCE)

    Italy

  7. 2016

    13th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

    Mexico City, Mexico

  8. 2015

    Resilience Week (RWS)

    Philadelphia, Pennsylvania, USA

07 / GET IN TOUCH

Let’s connect research
with what comes next.

For research collaborations, academic opportunities, industry partnerships or teaching and supervision conversations, please get in touch.

satyam.controlsystems@gmail.com