National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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Faculty Profile

EXPERTISE INFORMATION

Research Group
  • Control and Automation
Areas of Interest
  • Batteries and Battery Packs
  • System Identification
  • Estimation and Control
  • Fault Diagnosis and Prognosis
  • Battery Management System
  • Electric Vehicles
  • Machine Learning

Arijit Guha Assistant Professor Grade-II

Electrical Engineering

guhaa@nitrkl.ac.in

21

PUBLICATIONS

1

SPONSORED PROJECTS

6

DOCTORAL STUDENTS

4

CONTINUING EDUCATION

PERSONAL INFORMATION

Arijit Guha

Assistant Professor Grade-II

Electrical Engineering

Room Number: EE-326

Department of Electrical Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008

2018

Ph.D.
Electrical Engineering (Control Systems)
Indian Institute of Technology-Kharagpur, W.B, India

2011

M.Tech
Electrical Engineering (Control System Engineering)
Indian Institute of Technology-Kharagpur, W.B, India

2008

B.Tech
Electronics and Instrumentation Engineering
University of Kalyani, W.B, India

Teaching Experience
  • Electrical Engineering,  National Institute of Technology-Rourkela, Odisha, India,   29 Jun 2020 - Present
Post Doctoral Research Experience
  • Research Associate,  Department of Electrical Engineering, IIT Kharagpur, India,   01 Feb 2018 - 30 Apr 2018
Industrial Experience
  • Senior R&D Engineer,  ABB Global Industries and Services Private Limited, Bengaluru, India,   10 Sep 2019 - 15 May 2020
  • Consultant,  Samsung R&D Institute, Bengaluru, India,   06 Aug 2018 - 05 Sep 2019

Consortium of Technologies for Sustainable Agriculture, Health , Energy and Environment Anusandhan National Research Foundation (ANRF), Science & Engineering Research Board (SERB)
  • Co-Investigator
  • 60
  • Running   Sponsored

Total Publications: 21

B. Routh, A. Guha, S. Mukhopadhyay, and A. Patra,"Online co-estimation of the state-of-health, state-of-charge and remaining-useful-life of lithium-ion batteries using a discrete capacity loss model", IEEE Transactions on Transportation Electrification, vol.11, no.2, pp.6962 - 6975, IEEE 2025, 10.1109/TTE.2024.3521316       Article

B. Routh, A. Guha, S. Mukhopadhyay, A. Patra, and N. Gadkar,"Prognostics of Li-ion batteries using a novel C-rate dependent aging model", in 2025 IEEE 5th International Conference on Sustainable Energy and Future Electric Transportation (SEFET), pp.1-6, IEEE 2025, 10.1109/SEFET65155.2025.11255508       Inproceedings

S. Kumari, N. Gadkar, and A. Guha,"A novel battery health prediction method based on q-learning approach", in 2025 IEEE 5th International Conference on Sustainable Energy and Future Electric Transportation (SEFET), pp.1-6, IEEE 2025, 10.1109/SEFET65155.2025.11255591       Inproceedings

A. Guha, B. Routh, and N. P. Velivela,"Adaptive Extended Kalman Filtering based State-of-Charge and Voltage Estimation of a Lithium-ion Battery using a Fractional Order Model", IEEE Sensors Journal, IEEE 2024, View Details       Article

A. Ranjan, A. Guha, B. Routh, and J. K. Pradhan,"Machine Learning based Battery State-of-Health Prediction using Capacity Fade and Resistance Growth", in 2024 IEEE International Conference on Prognostics and Health Management (ICPHM), pp.308 - 315, IEEE 2024, View Details       Inproceedings

Innovations in Control and Learning for Dynamical Systems (ICLDS2024) Electrical Engineering (Short-term Course)
  • Co-Coordinator
  • 29 Nov 2024 - 03 Dec 2024
  • Brochure
Role of AI/ML in Electrical, Electronics and Biomedical Engineering Applications (RAEEBEA-2024) Electrical Engineering (Short-term Course)
FUNDAMENTALS OF ELECTRIC VEHICLES (EV) AND ITS MODELING WITH HANDS-ON PRACTICE Mechanical Engineering (Short-term Course)
Recent Trends in Modeling and Control of Dynamical Systems (RTMCDS) Electrical Engineering (Short-term Course)

  • EE3300 : Principles of Control Systems Engineering {Theory}
  • EE6304 : System Identification and Adaptive Control {Theory}
  • EE6305 : Digital Control {Theory}
  • EE6319 : Introduction to ML and Data Science {Theory}
  • EE2472 : Electronic Circuits Laboratory {Practical}
  • EE2700 : Basic Electrical Engineering Laboratory {Practical}
  • EE3702 : Control Systems Laboratory {Practical}
  • EE4705 : Control and Electrical System Design {Practical}
  • EE4706 : Power System Simulation Laboratory {Practical}
  • EE6070 : Product Development Laboratory {Practical}

Ph.D. Students [5]
AI applications in Power System
Yogamaya Tripathy
Enrolled: Jul 2025
Continuing
Co-Supervisor
BATTERY ENERGY STORAGE AND ELECTRIC VEHICLE
Shaik Rahimpasha
Enrolled: Jan 2025
Continuing
Supervisor
Battery Management System
Swastik Acharya
Enrolled: Nov 2023
Continuing
Supervisor
Battery Diagnostics and Prognostics
Nilima Gadkar
Enrolled: Aug 2022
Continuing
Supervisor
Fabrication of PS anode for Batteries
Girija Shankar Dixit
Enrolled: Jan 2020
Continuing
Co-Supervisor
Executive Ph.D. Students [1]
Multiagent control and its application to microgrid
Bishwa Jana Ranjan Swain
Enrolled: Jul 2024
Continuing
Co-Supervisor

Awards And Honours
  • Faculty Advisor Appreciation Award for the academic year 2021-2022 based on students feedback by Institute Counselling Services, NIT-Rourkela.,   2022
  • Among Top 5 Finalists in KPIT Shodh Awards 2019 organized by KPIT and IISER Pune for research on Energy and Mobility domain,   2019
  • Winner of the Chairman's Award (First Prize) in the Texas Instruments-Department of Science and Technology organized India Innovation Challenge 2017 for the product on Battery Management Systems,   2018
  • All India Rank 48 in GATE-2009 Examination,   2009
Memberships / Fellowships
  • IEEE,   2019