EV Technology

About the Centre

The Center of Innovation & Research in Electric Vehicles (CIREV) is a premier hub dedicated to cutting-edge research, innovation, and skill development in electric mobility and battery technologies. It serves as a collaborative platform uniting academia, industry, and government to advance sustainable transportation solutions in line with India’s Net-Zero goals.

Our Arena & Consortium

CIREV operates as a multidisciplinary consortium, bridging the schools of Electrical Engineering, Mechanical Engineering, Electronics, Computer Science, and Chemistry at KIIT University, as well as attracting overseas talents. It fosters a convergent research environment to tackle integrated e-mobility challenges.

The centre aims to establish international partnerships with leading universities, research institutions, and industry leaders to facilitate global knowledge exchange and stay at the forefront of EV innovation. Building on our faculty’s existing collaborations, the centre aims to formalize and expand international partnerships. By connecting with leading universities, research institutions, and industry leaders, we ensure a robust global knowledge exchange to stay at the forefront of EV innovation.

National

Dr. Chinmoy Kumar Panigrahi, Professor and Director, School of Electrical Engineering, KIIT Deemed to be University

Prof. B.K. Panigrahi, Professor, Department of Electrical Engineering, Indian Institute of Technology Delhi, India

Prof. Ranjan Kumar Behera, Professor, Department of Electrical Engineering, Indian Institute of Technology Patna, India

Prof. Dipankar Deb, Professor, Department of Electrical and Computer Science Engineering, Indian Institute of Technology Mandi, India

Prof. Amartya Mukhopadhyay, Professor, Department of Metallurgical Engineering, Indian Institute of Technology Bombay

Prof. Sagar Mitra, Professor Department of Energy Science and Engineering Indian Institute of Technology Bombay, Powai, Mumbai, India

International

Prof. Xiandong Ma, Reader in Power and Energy Systems, School of Engineering, Lancaster University, UK

Prof. Sanjeevikumar Padmanaban, Professor, Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, Norway

Prof. Jiangfeng Zhang, Associate Professor, Department of Automotive Engineering, Clemson University,USA

Prof. Li Li, Associate Professor, School of Electrical and Data Engineering, University of Technology Sydney, Australia

Prof. Fei Wang Department of Electrical Engineering, School of Mechatronic Engineering and Automation, Shanghai University, China

Prof. Massoud Amin Professor Emeritus, former Director & Honeywell H.W. Sweatt Chair in Technological Leadership | University of Minnesota, USA CTO | Renewable Energy Partners (REP) Chairman & President | Energy Policy & Security (EPS) Associates

Prof. Apel Mahmud Professor, Electronic and Electrical Engineering, Flinders University, Australia

CIREV has established a partnership with L&T Edutech to collaborate on skill development and industry-aligned training programs. Outcomes include collaborative curriculum development and practical training modules.

Core Team

CIREV is led by a team of expert faculty with decades of combined research and industry experience in key areas, including Battery Systems, Powertrain Design, Charging Infrastructure, AI for EVs, and Materials Science.

Dr. Dillip Kumar Mishra, Head

Expertise Field: Battery Modelling and Testing, and Digital Twins
Total Experience: 11 Years

Dr. K.V.V.S.R. Chowdary

Expertise Field: EV charging infrastructure, Wireless charging
Total Experience: 15 Years

Prof. Thotakura NSC Sekhar

Expertise Field: Power Converter, Electric Drives
Total Experience: 16 Years

Dr. Soumen Giri

Expertise Field: Electrocatalysis, Material Synthesis, and Metal – Organic Frameworks
Total Experience: 9 Years

Dr. Isham Panigrahi

Expertise Field: Noise &Vibration Testing New concept EV design and prototyping
Total Experience: 25 Years

Dr. Avinash Chaudhary

Expertise Field: Fire dynamics in a compartment in EV, Thermal
behavior of battery and EV
Total Experience: 8 Years

Dr. Debjyoti Sahu

Expertise Field: Battery Thermal Management
Total Experience: 17 Years

Dr. Akshaya K. Pati

Expertise Field: Electric Drive and Charging Infrastructure
Total Experience: 12 Years

Dr. Ganaraj P S

Expertise Field: Autonomous Vehicle
Total Experience: 8 Years

Dr. Ambika P. Mishra

Expertise Field: AI and ML
Total Experience: 12 Years

Dr. P.Chandra Sekhar

Expertise Field: Robotic and Automation

Dr. Aleena Swetapadma

Expertise Field: Machine Learning, Artificial Intelligence, Battery Life Prediction

 

Objectives

The primary objectives of CIREV are 

  • Become a globally recognized innovation center for advanced research in EV and battery technologies.
  • Establish a state-of-the-art research laboratory for prototyping, testing, and validation of next-generation e-mobility solutions.
  • Foster robust industry-academia collaboration to translate research into commercial products and address real-world challenges.
  • Develop a skilled talent pipeline through specialized academic programs and hands-on training to meet the growing demand for EV engineers.
  • Drive sustainable and inclusive mobility solutions that support India’s climate goals and contribute to societal well-being.

We Offer

CIREV provides a comprehensive ecosystem to drive the e-mobility revolution from lab to market.

We offer expert consultancy services to industry and government on EV technology development, system integration, feasibility studies, and sustainable mobility solutions.

The centre generates data-driven insights and recommendations to support the formulation of effective EV adoption roadmaps, FAME policies, and charging infrastructure plans at regional and national levels.

We provide hands-on internship opportunities for students and professionals within our research labs and through our industry network, offering real-world project experience in the EV sector.

We conduct specialized, industry-aligned workshops and training programs (e.g., on EV Technology, IoT, and Embedded Systems) to build a skilled workforce and address the critical talent shortage in the e-mobility ecosystem.

  • Short-term: Certification and training programs focused on specific skills like battery testing, BMS, EV diagnostics, and charging infrastructure.
  • Long-term: B.Tech Minor in Smart EV and M.Tech Program in EV Technology, which offer interdisciplinary, project-based curricula integrating core EV principles with smarttechnologies like AI, IoT, and data analytics

Goals

SDG

Labs and Facilities

CRF building

CIREV

CIREV

E-bike by L&T Edutech

Embedded System Prototype

Battery SOC testing kit

4-Wheeler Electric Vehicle (EV)

2-wheeler Electric Vehicle (EV)

EV wiring system

Battery: 60 Ah

Electric supply equipment

Research Areas

Notwithstanding the growing demand and investment in e-mobility, considerable technological limitations remain in EV powertrains, battery management systems (BMS), safety, and fast/ultra-fast charging systems. Comprehensive academic research is necessary to engage young minds in developing state-of-the-art solutions for advancing EV technology through modeling, prototyping, and testing the systems under diverse driving conditions. The following research areas will be considered for this centre to align with the government’s initiative for climate change and sustainability.

AFocus: Innovating advanced battery chemistries and materials.

  • Development of solid-state and sodium-ion batteries
  • Exploration of novel anode, cathode, and electrolyte materials
  • Advanced lithium-sulfur and metal-air battery systems
  • Sustainable sourcing and green manufacturing processes

Focus: Design, optimization, and testing of advanced battery technologies

  • Battery management systems (BMS)
  • Battery aging, thermal management, and safety
  • Fast charging and solid-state battery exploration
  • Second-life applications and recycling

Focus: Developing intelligent, scalable charging networks

  • Fast and ultra-fast charging systems
  • Smart charging and load balancing
  • Vehicle-to-Grid (V2G) and Vehicle-to-Home (V2H)
  • Impact of EVs on microgrids and distribution networks

Focus: Design, optimization, and reliability of vehicle electrical systems

  • High-voltage and low-voltage wiring harness design
  • Connector and shielding technologies for safety and EMI reduction
  • Integration of sensors, controllers, and communication lines
  • Thermal and mechanical protection of wiring systems.

Focus: Advanced tools for design, testing, and performance prediction

  • EV dynamics and range estimation
  • Multi-physics simulation (MATLAB/Simulink, ANSYS, etc.)
  • Digital twins for predictive diagnostics and control
  • Hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing

Focus: Efficient design and control of EV propulsion systems

  • Electric motors and inverters
  • Drivetrain design and torque control
  • Regenerative braking systems
  • Motor-controller integration and testing

Focus: Apply AI to enhance performance, safety, and user experience

  • Predictive maintenance using machine learning models
  • Driver behavior analysis and adaptive control systems
  • Fault detection and anomaly prediction in BMS and powertrain
  • Reinforcement learning for real-time vehicle control

Focus: Creating intelligent and accessible transportation solutions for all users.

  • Sensor fusion, perception, and control systems for automated driving
  • Advanced driver-assistance systems (ADAS)
  • Human-machine interface (HMI) and assistive technologies for elderly and disabled persons
  • Vehicle-to-everything (V2X) communication

Emerging Frontiers

To anticipate the next wave of technological disruption and societal needs, the centre will dedicate exploratory research to emerging frontiers at the intersection of electrification, digitalization, and sustainability. This forward-looking stream will focus on nascent fields with high transformative potential for the future of mobility.

Focus: Investigate pioneering concepts and disruptive technologies that extend beyond current EV paradigms.

  • Bi-directional Energy Ecosystems: Advanced V2X (Vehicle-to-Everything) integration for smart cities and disaster resilience.
  • Advanced Energy Harvesting: Integration of solar, regenerative suspension, and thermoelectric systems to extend vehicle range.
  • Next-Generation Power Electronics: Wide-bandgap semiconductors (GaN, SiC) for ultra-efficient, compact, and high-frequency converters and motor drives.
  • Cybersecurity for Connected EVs: Developing robust security protocols and intrusion detection systems for vehicle networks and V2X communication.
  • Sustainable Lifecycle Engineering: Circular economy models, AI-driven design for disassembly, and advanced recycling technologies for composite materials and rare-earth elements.
  • Human-Centric Mobility Solutions: Personalization through AI, neuro-adaptive interfaces, and inclusive design for diverse global populations and use cases.
  • Lightweight and Smart Materials: Application of multi-functional composites, meta-materials, and 3D-printed structures for enhanced safety, efficiency, and energy storage.

Publication 

  1. Dillip Kumar Mishra (2026). From cell to module: An integrated approach to identification, modeling, simulation, and experimental validation of 21,700 Li-ion batteries for electric vehicles. Journal of Energy Storage, 151, 120530.
  2. Mohammad A. Hossein, Dillip Kumar Mishra, et al. “Collaborative participation of wind power producer and charging station aggregator in electricity markets.” Applied Energy 401 (2025): 126782.
  3. V. Rai, A. Yadav, Dillip Kumar Mishra, et al. “Energy Storage Solutions and Induction Motor Drives for Sustainable EV Charging. (2025)”
  4. S. Kundu, S., A. Giri, A., & Dillip Kumar Mishra. Hybrid Renewable Power Infrastructure for Sustainable Electric Vehicle Development. Springer, 2025.
  5. K. V. V.S.R Chowdary, K. Kumar, R. K. Behera, & S. Banerjee (2020). Overview and Analysis of Various Coil Structures for Dynamic Wireless Charging of Electric Vehicles. 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020), 1–6.
  6. K. V. V. S. R. Chowdary, & K. Kumar (2022). Assessment of Dynamic Wireless Charging System with the Variation in Mutual Inductance. 2022 IEEE 19th India Council International Conference (INDICON), 1–4.
  7. K. V. V. S. R. Chowdary, & K. Kumar (2022). Assessment of Dynamic Wireless Charging System with the Variation in Mutual Inductance. INDICON 2022 – 2022 IEEE 19th India Council International Conference,
  8. K. V. V. S. R. Chowdary, K. Kumar, S. Banerjee, & R. R. Kumar (2020). Comparative analysis between high-order compensation and ss-compensation for dynamic wireless power transfer system. 9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020, 1–6.
  9. K. V. V. S. R. Chowdary, K. Kumar, R. K. Behera, S. Banerjee, & R. R. Kumar (2020). Load Independent Characteristics of Dynamic Wireless Charging System Through Higher Order Compensation. 2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), 1–6.
  10. K. V. V. S. R. Chowdary, K. Kumar, & R. R. Kumar (2021). Impact of onboard DC-DC Converter for Dynamic Wireless Charging of Electric Vehicles. ICPEE 2021 – 2021 1st International Conference on Power Electronics and Energy, 1–5.
  11. K. V. V. S. R. Chowdary, K. Kumar, & B. Nayak (2024). A comprehensive examination of shielding and core influence through finite element analysis for the dynamic wireless charging magnetic coupler. E-Prime – Advances in Electrical Engineering, Electronics and Energy, 7(July 2023), 100462.
  12. K . V. V. S. R. Chowdary, K. Kumar, & B. Nayak (2024). A comprehensive examination of shielding and core influence through finite element analysis for the dynamic wireless charging magnetic coupler. E-Prime – Advances in Electrical Engineering, Electronics and Energy, 7, 100462.
  13. K . V. V. S. R. Chowdary, K. Kumar, B. Nayak, A. Kumar, & M. Bertoluzzo (2023). Dynamic Wireless Charging Performance Enhancement for Electric Vehicles: Mutual Inductance, Power Transfer Capability, and Efficiency. Vehicles, 5(4), 1313–1327.
  14. K. V. V. S. R. Chowdary, K. Kumar, B. Nayak, & V. Mali (2023). Decoding the Magnetic Coupler Characteristics for the Implementation of Dynamic Wireless Charging Scheme for Electric Vehicles. 2023 IEEE 3rd International Conference on Smart Technologies for Power, Energy and Control, STPEC 2023, 1–6.
  15. K Kumar, K. V. V. S. R. Chowdary, & B. Nayak (2024). Comprehensive Exploration of Coil Sizing, Airgap Distance, and Intra-Coil Spacing in Dynamic Wireless Power Transfer System for Electric Vehicles. 2024 3rd International Conference on Power Electronics and IoT Applications in Renewable Energy and Its Control, PARC 2024, 118–122.
  16. K. Kumar, K. V. V. S. R. Chowdary, B. K. Nayak, & V. Mali (2022a). Performance Evaluation of Dynamic Wireless Charging System with the Speed of Electric Vehicles. 2022 IEEE 19th India Council International Conference (INDICON), 1–4.
  17. K. Kumar, K. V. V. S. R. Chowdary, B. K. Nayak, & V. Mali (2022b). Performance Evaluation of Dynamic Wireless Charging System with the Speed of Electric Vehicles. INDICON 2022 – 2022 IEEE 19th India Council International Conference, 10, 1–4.
  18. K. Kumar, K. V. V. S. R. Chowdary, B. Nayak, & V. Mali (2023). A Study on the Implications of Parameter Variation Involved with Dynamic Wireless Charging System for Vehicular Application. IECON Proceedings (Industrial Electronics Conference), 1–5.
  19. K. Kumar, K. V. V. S. R. Chowdary, P. Sanjeevikumar, & R. Prasad (2021). Analysis of Solar PV Fed Dynamic Wireless Charging System for Electric Vehicles. IECON Proceedings (Industrial Electronics Conference), 2021-Octob, 1–6.
  20. J. A. Bharatbhai, S. Roy, A. Dey, T. Aziz, S. Tothadi, M. Bandhyopadhyay, S. Giri, S. Das, A Tetranuclear NiII4O4 Cubane Molecular Complex as an Efficient Electrocatalyst for Oxygen Evolution Reaction: From Synthesis to Mechanistic Insights, Small, 2025, 2504175. IF: 12.1
  21. S. Giri M. Roy, S. BandyopadhyayS. Das S. Mangal, S. Samanta, Metal–organic frameworks: classifications, synthesis, structure–property–performance relationship, and techno-economic analysis of redox flow batteries, Journal of. Materials Chemistry A, 2025, Advance Article, IF: 9.5
  22. A Parida, S Giri, Recent progress in non-lithium rechargeable batteries with micro to macro 3D engineered electrode architecture, Journal of. Materials Chemistry A, 2024, 12, 21553-21582.
  23. Soumen Giri, Ipsa Dash, Ferrocene to Functionalized Ferrocene: A Versatile Redox-Active Electrolyte for High-Performance Aqueous and Non-aqueous Organic Redox Flow Batteries, Journal of Materials Chemistry A, 2023,11, 16458-16493. I.F.: 14.5
  24. Soumen Giri, Subhashree Kalyani Nanda, Anita Parida, Recent experimental and theoretical progress in silicene based electrode materials for rechargeable batteries and supercapacitors, Journal of Energy Storage,13, 2025, 115521. I.F.- 8.9
  25. S. Giri, D. Ghosh and C.K. Das, Growth of Vertically Aligned Tunable Polyaniline on Graphene/ZrO2 Nanocomposites for Supercapacitor Energy Storage Application, Advanced Functional Materials, 24, 1312–1324, 2014. IF: 19.92.
  26. Soumalya Roy, Ezhava Manu Manohar, Sujoy Bandyopadhyay, Manik Chandra Singh, Yeji Cha, Soumen Giri, Sharad Lande, Kyungsu Na, Junseong Lee, Sourav Das, Advanced Catalytic Strategies for CO2 to Methanol Conversion: Noble Metal-Based Heterogeneous and Electrochemical Approaches, RSC Sustainability, 2025, 3, 1303-1332. IF: 4.5
  27. In-Situ Synthesis of Cobalt Doped Polyaniline Modified Graphene Composites for High Performance Supercapacitor Electrode Material, Soumen Giri, Debasis Ghosh and Chapal Kumar Das, Journal of Electroanalytical Chemistry,697, 32-45, 2013., IF: 4.46.
  28. D. Ghosh, S.Giri, and C.K. Das, Characterizations and electrochemical performance of Graphene decorated with 1D NiMoO4, nH2O nanorods, Nanoscale, 2013, 5, 10428-10437.IF: 8.30.
  29. D Ghosh, S Giri, CK Das, Preparation of CTAB-assisted hexagonal platelet Co (OH)2/graphene hybrid composite as efficient supercapacitor electrode material. ACS Sustainable Chemistry & Engineering, 2013, 1 , 1135-1142, IF- 9.22.
  30. D. Ghosh, S. Giri, A. Mandal and C.K. Das, H+, Fe3+co-doped polyaniline/MWCNTs nanocomposite: superior electrode material for supercapacitor application, Applied Surface Science, 2013, 276,120–128. IF: 7.39.
  31. A Malas, P Pal, S Giri, A Mandal, CK Das, Synthesis and characterizations of modified expanded graphite/emulsion styrene butadiene rubber nanocomposites: Mechanical, dynamic mechanical and morphological properties, Composites Part B: Engineering, 58, 267-274, 11, 2014. I.F.- 9.07.
  32. D. Ghosh, S. Giri, CK Das, Hydrothermal synthesis of platelet β Co (OH) 2 and Co3O4: Smart electrode material for energy storage application, Environmental Progress & Sustainable Energy, 2014, 33, 1059-1064. I.F.- 2.43.
  33. D. Ghosh, S. Giri, S. Sahoo, C.K. Das, In situ synthesis of graphene/amine-modified graphene, polypyrrole composites in presence of SrTiO3 for supercapacitor applications, Polymer-Plastics Technology and Engineering , 2013, 52, 213-220. IF.-3.26.
  34. S. Giri, D. Ghosh, A. Malas, C. K. Das, A Facile Synthesis of a Palladium-Doped Polyaniline-Modified Carbon Nanotube Composites for Supercapacitors, Journal of electronic materials, 2013, 42 (8), 2595-2605. ISSN: 0361-5235, I.F- 1.93.
  35. M. Maurya, J. Sadarang, & I. Panigrahi. (2020). Detection of crack in structures using dynamic analysis and an artificial neural network. Eng. Solid Mech, 8, 285-300.
  36. C. Malla, A. Rai, V. Kaul, & I. Panigrahi. (2019). Rolling element bearing fault detection based on the complex Morlet wavelet transform and performance evaluation using an artificial neural network and support vector machine. Noise & Vibration Worldwide, 50(9-11), 313-327.
  37. C. Malla, & I. Panigrahi. (2019). Review of condition monitoring of rolling element bearing using vibration analysis and other techniques. Journal of Vibration Engineering & Technologies, 7(4), 407-414.
  38. S. Swain, I. Panigrahi, A. K. Sahoo, & A. Panda. (2019). Study on machining performances during hard turning process using vibration signal under MQL environment: A review. Materials Today: Proceedings, 18, 3539-3545.
  39. S. Nayak, R. K. Nayak, I. Panigrahi, & A. K. Sahoo. (2019). Tribo-mechanical responses of glass fiber reinforced polymer hybrid nanocomposites. Materials Today: Proceedings, 18, 4042-4047.
  40. C. M. Malla, J. Sadarang, & P. Isham. (2018). Deep groove ball bearing fault diagnosis and classification using wavelet analysis and artificial neural network. Int J Eng Adv Technol, 8, 307-313.
  41. T.R. Soren, R. Kumar, I. Panigrahi, A. K. Sahoo, A. Panda, & R. K. Das. (2019). Machinability behavior of aluminium alloys: A brief study. Materials Today: Proceedings, 18, 5069-5075.
  42. M. Maurya, R. Mishra, & I. Panigrahi. (2018, August). Multi crack detection in structures using artificial neural network. In IOP Conference Series: Materials Science and Engineering (Vol. 402, No. 1, p. 012142). IOP Publishing.
  43. S. Swain, S. Chattarjee, I. Panigrahi, & A. K. Sahoo. (2018). Cutting tool vibration analysis for better surface finish during dry turning of mild steel. Materials Today: Proceedings, 5(11), 24605-24611.
  44. S. Nayak, J. Sadarang, I. Panigrahi, & R. K. Nayak. (2018). Development of carbon/glass fibre reinforcement polymer hybrid composite through modeling and simulation. Materials Today: Proceedings, 5(9), 17838-17844.
  45. C. Malla, M. I. Alam, S. Swain, & I. Panigrahi. (2018, August). Condition monitoring of reciprocating air compressor using vibration and noise control techniques for better NVH. In IOP Conference Series: Materials Science and Engineering (Vol. 402, No. 1, p. 012141). IOP Publishing.
  46. Jujjuvarapu, S., D. Sahu, & Mishra, V. (2025). Enhancing Combustion Efficiency and Reducing Emissions: Biodiesel and Oxygenated Additives in Diesel. Recent Advances in Energy Transitions Towards Sustainable Development: Select Proceedings of CHEMCON 2023, 67, 423.
  47. Srikanth, J., Mishra, V. K., Chaudhuri, S., D. Sahu, Ghose, P., & Vaferi, B. (2024). Comparison of discriminant analysis coupled with principal component analysis (PCA-DA) and back propagation neural network (BPNN) as classification model for decision support system in porous ceramic matrix (PCM) based burner. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 238(18), 9293-9306.
  48. D. Sahu, Guha, S., & Muduli, K. (2024, August). Preface: Proceedings of International Conference on Thermofluids and Manufacturing Science 2024. In Journal of Physics: Conference Series (Vol. 2818, No. 1, p. 011001). IOP Publishing.
  49. Mohan, S., Kotebavi, V., D. Sahu, & Shetty, D. (2024). Investigations on N-Butanol and Biodiesel Blends Performance in Stationary Engine.
  50. Ansari, M. M. A., Sahu, K. B., Chaudhuri, S., Srikanth, J., D. Sahu, & Mishra, V. K. (2023). Hybrid genetic algorithm-self organizing map network for decision support system: An application in combined mode conduction-radiation heat transfer in porous medium. Numerical Heat Transfer, Part B: Fundamentals, 84(5), 642-664.
  51. Srikanth, J., Mishra, V. K., & D. Sahu. (2023, July). Load Response of a CI Engine Fuelled with BioDiesel Blends with Selected Additives. In International Conference on Recent Advances in Mechanical Engineering Research and Development (pp. 55-68). Singapore: Springer Nature Singapore.
  52. Panda, R. C., Sahoo, S. S., Barik, A. K., D. Sahu, Mohapatra, T., & Rout, A. (2022). Performance of solar collector coupled with three fluid heat exchanger and heat storage system for simultaneous water and space heating. In Recent Advances in Thermofluids and Manufacturing Engineering: Select Proceedings of ICTMS 2022 (pp. 341-351). Singapore: Springer Nature Singapore.
  53. Acharya, S., Mishra, V. K., Patel, J. K., Gupta, G., Sah, M. K., Shah, P., & D. Sahu, (2022). A Simple Solution of Third Grade Fluid Flow Problem: Cascade-Forward Type ANN Approach. In Recent Advances in Thermofluids and Manufacturing Engineering: Select Proceedings of ICTMS 2022 (pp. 85-99). Singapore: Springer Nature Singapore.
  54. Kumar, M. A., & D. Sahu. (2022). Simple Numerical Modelling of a Fibre Reinforced Composite Specimen Under Fatigue. In Advances in Mechanical and Industrial Engineering (pp. 339-347). CRC Press.
  55. P. Alok, & D. Sahu. (2022). Numerical analysis of a two-phase injection refrigeration cycle using R32. Journal of Thermal Engineering, 8(2), 157-168.
  56. Akshaya K. Pati, N. C. Sahoo, “A new approach in maximum power point tracking for a photovoltaic array with power management system using Fibonacci search algorithm under partial shading conditions”, Energy Systems, 7(1), 145–172. (Impact Factor: 0.56)
  57. Akshaya K. Pati, N. C. Sahoo, “Adaptive Super-twisting Sliding Mode Control for a Three-phase Single-stage Grid-connected Differential Boost Inverter based Photovoltaic System”, ISA Transaction, Elsevier, 69, 296–306. (Impact Factor: 4.305)
  58. Akshaya K. Pati, N. C. Sahoo, “Performance Evaluation of Grid-Connected Photovoltaic System with Three-Phase Differential Boost Inverter under Power Management and Power Quality Improvement”, International Transactions of Electrical Energy Systems, Wiley, 29(5), 2019. (Impact Factor: 1.692)
  59. Akshaya K. Pati, and N. C. Sahoo, “A super-twisting sliding mode observer for boost-based hybrid PV-Battery system control”, Transactions of the Institute of Measurement and Control, SAGE Publications, 42(12), 2020. (Impact Factor 1.649)
  60. Chakraborty, Jayjeet, Akshaya Kumar Pati, and Sarita Nanda. “A Detailed Comparative Analysis of LiFi vs WiFi in Application of 5G Networks.” Journal of Engineering Science & Technology Review 18.3 (2025).
  61. Nath, Priyanka, et al. “Neural network backstepping control of OWC wave energy system.” Scientific Reports 15.1 (2025): 7983.
  62. Akshaya K. Pati, and Nirod C. Sahoo, “A modified Fibonacci search algorithm for maximum power point tracking of photovoltaic system under partial shading conditions,” Proc. IASTED Int. Conf. on Power and Energy, Marina del Rey, USA, 2013.
  63. Akshaya K. Pati, and Nirod C. Sahoo, “A novel control architecture for maximum power point extraction from the photovoltaic system under partially shaded conditions using current equalization approach”, SPICES-2015, NIT Calicut, Feb.9-21, 2015.
  64. Akshaya K. Pati, and Nirod C. Sahoo, “Power quality improvement by feedback linearization control of grid-connected three-phase boost inverter”, Proceedings of PCITC-2015, SOA University, Bhubaneswar, Oct. 15-17, 2015.
  65. Akshaya K. Pati and N. C. Sahoo, “An Experimental Study on Energy Management of Grid-Connected Hybrid PV-Battery-Fuel Cell System,” 2020 IEEE Calcutta Conference (CALCON), Kolkata, India, Feb. 27-28, 2020
  66. A.Ghosh, S. Mishra, A. K. Pati, U. Nayak and S. K. Mishra, “A Model Predictive Control for Output Power Smoothing of Dynamic Wireless Power Charging,” 2024 International Conference on Sustainable Power & Energy (ICSPE), Raigarh, India, 2024, pp. 1-6
  67. A. Ghosh, A. K. Pati and S. K. Mishra, “An Overview of Implementation LAUNCHXL-F28069M for Power Electronics Converters by Using SIMULINK and PLECS,” 2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS), Bengaluru, India, 2024, pp. 1-5
  68. U. Nayak and A. K. Pati, “Supercapacitor Assisted PV Powered Dynamic Wireless Power Charging System for EV,” 2024 4th International Conference on Intelligent Technologies (CONIT), Bangalore, India, 2024, pp. 1-5.
  69. P. Nayak, S. Basu, A. K. Pati and S. Nanda, “Real-time IoT-based Power Quality Event Monitoring System for Smart Grid Application,” 2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET), B G NAGARA, India, 2023, pp. 1-5.
  70. D. K. Kohar, A. K. Pati and A. Biswas, “Experimental Design of Solar Powered Dynamic Wireless Charging of Electric Vehicle,” 2023 International Conference on Smart Systems for Applications in Electrical Sciences (ICSSES), Tumakuru, India, 2023, pp. 1-5
  71. [Costa da Silva, R. G., Mishra, A. P., Riggs, C. M., & Doube, M. (2023). Classification of racehorse limb radiographs using deep convolutional neural networks. Veterinary Record Open, 10(1), e55.
  72. da Silva, R. G. C., Sun, T. C., Mishra, A. P., Boyde, A., Doube, M., & Riggs, C. (2022). Intracortical remodeling increases in highly loaded bone after exercise cessation. bioRxiv, 2022-05.
  73. Mishra, A. P., Peng, F., Li, K., Harper, N. S., & Schnupp, J. W. (2021). Sensitivity of neural responses in the inferior colliculus to statistical features of sound textures. Hearing Research, 412, 108357.
  74. Majhi, B., Naidu, D., Mishra, A. P., & Satapathy, S. C. (2019). Improved prediction of daily pan evaporation using Deep-LSTM model. Neural Computing and Applications, 1-16.
  75. Peng, F., Harper, N. S., Mishra, A. P., Auksztulewicz, R., & Schnupp, J. W. (2023). Dissociable roles of the auditory midbrain and cortex in processing the statistical features of natural sound textures. bioRxiv, 2023-04.
  76. Mishra, A. P., Harper, N. S., & Schnupp, J. W. (2021). Exploring the distribution of statistical feature parameters for natural sound textures. PLOS ONE, 16(6), e0238960.
  77. Thakur, A., Mishra, A. P., Panda, B., Sweta, K., & Majhi, B. (2020). Detection of disease-specific parent cells via distinct population of nano-vesicles by machine learning. Current Pharmaceutical Design. https://doi.org/10.2174/1381612826666200422091753
  78. Li, K., Auksztulewicz, R., Chan, C. H., Mishra, A. P., & Schnupp, J. W. (2021). The precedence effect in spatial hearing emerges only late in the auditory pathway. BMC Biology.
  79. Li, K., Rajendran, V. G., Mishra, A. P., Chan, C. H., & Schnupp, J. W. (2021). Interaural time difference tuning in the rat inferior colliculus is predictive of behavioral sensitivity. Hearing Research.
  80. Mishra, A. P., Peng, F., Harper, N. S., & Schnupp, J. W. (2020). Midbrain and cortical responses to natural sound textures. Podium presentation, 43rd Annual Midwinter Meeting, San Jose, California, ARO 2020.
  81. Mishra, A. P., Peng, F., Harper, N. S., & Schnupp, J. W. (2019). Neural sensitivity to the statistics of natural sound textures in rats. International Symposium on Auditory and Audiological Research (ISAAR 2019), Denmark.
  82. Mishra, A. P., Harper, N. S., & Schnupp, J. W. (2018). Low dimensional auditory texture representation and possible impact on auditory scene analysis. Neuroplasticity of Sensory Systems, Gordon Research Conference (Conference Grant, Poster Presentation).
  83. Panda, B., Mishra, A. P., Majhi, B., & Rout, M. (2013, December). Prediction of protein structural class by functional link artificial neural network using hybrid feature extraction method. In International Conference on Swarm, Evolutionary, and Memetic Computing (pp. 298–307). Springer.
  84. Panda, B., Majhi, B., Mishra, A. P., & Rout, M. (2013, August). Performance evaluation of protein structural class prediction using artificial neural networks. In 2013 International Conference on Human Computer Interactions (ICHCI) (pp. 1–5). IEEE.

List of Articles with their potential Societal impacts 

  • Societal Impact : Drives the development of next-generation batteries that are safer, cheaper, more powerful, and environmentally sustainable. This is fundamental to making EVs affordable, extending their range, and ensuring a green lifecycle from production to recycling.
  • Relevant Articles : [19], [20], [21], [22], [23], [24], [26], [27], [28], [29], [30], [31], [32], [33]
  • Societal Impact:Enables a sustainable, cost-effective, and resilient energy ecosystem for transportation. Reduces strain on the power grid, lowers electricity costs, and maximizes the use of clean energy, directly combating climate change.
  • Relevant Articles:[1], [2], [3], [55], [56], [57], [58], [60], [61], [62], [63], [64]
  • Societal Impact:Promotes “charge-as-you-drive” mobility, significantly reducing range anxiety, enabling smaller batteries, and allowing for seamless long-distance travel. This can accelerate EV adoption, especially for heavy-duty and public transport.
  • Relevant Articles: [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [65], [67], [69]
  • Societal Impact:Enhances safety, reliability, and performance of EVs and energy infrastructure. Enables predictive maintenance to prevent failures, optimizes energy use, and creates intelligent systems for a more user-friendly and secure transportation network.
  • Relevant Articles:[34], [35], [36], [37], [39], [41], [44], [46], [49], [59], [65], [68], [70], [71], [72], [73], [74], [75], [76], [77], [78], [80], [81], [82], [83]
  • Societal Impact:Provides transitional and complementary solutions to full electrification, particularly for heavy transport and existing fleets. Reduces dependence on fossil fuels, cuts harmful emissions (like CO2 and particulates), and promotes the use of waste-derived biofuels.
  • Relevant Articles:[25], [45], [48], [50]
  • Societal Impact:Leads to lighter, stronger, and more durable vehicles and components, improving EV efficiency and safety. Develops better diagnostic tools for industrial machinery, reducing downtime and improving operational safety across sectors.
  • Relevant Articles:[38], [40], [42], [43], [47], [51], [52], [53], [54], [66]

Group Photos

List of PhD Scholars

Sl. No. Name Area of Research Status
1 Manish Yadav EV Charging Infrastructure Planning Completed
2 Sthitprajna Mishra Smart Battery Management System Completed
3 Priyanka Pattaniak Digital Twin Battery Technology Ongoing
4 Biswajit Parija EV/Battery Integration into Smart Grid Ongoing

Scope of works

Initiate innovative research initiatives, obtain funding, and disseminate significant discoveries. Supervise graduate students and postdoctoral researchers in developing advanced electric vehicle courses. Facilitate technology transfer and patent submissions, serving as the principal conduit between academic research and industrial implementation for the center’s fundamental research issues.

Conduct an in-depth, rigorous study on a particular EV topic, starting from battery chemistry to autonomous systems. Develop innovative models and prototypes, publish high-impact journal articles, and actively contribute to intellectual property. These efforts collectively establish a strong foundation for a future career as a research leader in academia or industry.

Carry out cutting-edge, collaborative research to connect applied technologies and basic science. Co-supervise junior researchers, write grant submissions, and lead high-risk, high-reward projects. In the highly competitive e-mobility market, this position is crucial for advancing technological maturity and establishing an independent research profile.

Co-define practical research issues and supply vital industry information, testing resources, and financial support. Collaborate to create prototypes, test ideas in pilot programs, and leverage the center’s intellectual property to develop innovative new products. Access a pipeline of skilled talent through internships and direct recruitment of trained graduates.

Outcomes

Through its comprehensive ecosystem of research, training, and industry collaboration, the Centre of Innovation & Research in Electric Vehicles (CIREV) will deliver measurable and transformative outcomes for students, researchers, industry professionals, and the broader community.

Core Skills

Development of interdisciplinary technical expertise in Battery Technology, Powertrain Design, Charging Infrastructure, and Embedded Systems.

  • Hands-on proficiency with industry-standard tools and platforms such as MATLAB/Simulink, ANSYS, PLECS, and Hardware-in-the-Loop (HIL) testing.
  • Mastery of AI/ML applications in EV systems for predictive maintenance, diagnostics, and smart control.
  • Competence in sustainable design principles, circular economy models, and lifecycle analysis specific to electric mobility.
  • Enhanced data analytics and IoT integration skills for connected vehicle systems and smart grid management.

Expert Guidance

Direct mentorship from CIREV’s core faculty and research leads, each with over a decade of specialized industry and academic experience.

  • Access to an Advisory Board comprising eminent academicians, industry leaders, and policymakers for strategic direction.
  • Collaborative supervision on projects with national and international partners from USA), Australia), and China
  • Regular workshops, masterclasses, and tech talks delivered by global experts and industry veterans.
  • Structured research guidance leading to high-impact publications, patent filings, and thesis development in emerging EV domains.

Problem-Solving

Ability to tackle real-world challenges such as battery thermal runaway, range anxiety, fast-charging limitations, and grid stability through applied research projects.

  • Experience in modeling, simulation, and prototyping of EV subsystems under diverse driving and environmental conditions.
  • Development of innovative solutions for rural electrification, inclusive mobility, and sustainable urban transportation.
  • Skill in diagnosing and optimizing EV performance using digital twins and AI-driven analytics.
  • Implementation of cost-effective, scalable, and sustainable technology solutions tailored to Indian and global market needs.

Career Opportunities

Pathways to roles in R&D, product development, testing, and validation with leading automotive, energy, and tech companies.

  • Opportunities in EV startups and incubators supported by CIREV’s innovation and entrepreneurship programs.
  • Roles in government and policy bodies focused on sustainable transportation, energy planning, and climate strategy.
  • Positions in consulting and advisory firms specializing in e-mobility transitions and green technology.
  • Academic and research careers through PhD programs, postdoctoral fellowships, and faculty positions in India and abroad.
  • Global career mobility through CIREV’s international network and exchange programs with partner universities and industries.

Contact

Dr. Dillip Kumar Mishra
Head, Centre of Innovation and Research in Electric Vehicle (CIREV)
Assistant Professor, KIIT Deemed to be University, Bhubaneswar, Odisha, India

Email: [email protected]