Arya Kumar Bhattacharya Dean Research, Professor and Head Department of Computer Science & Engineering

Dr. Arya Kumar Bhattacharya is the Dean of Research and Professor in the School of Engineering Sciences. He has with him more than twenty years of industrial experience, including at Defence Research and Development Organization (ADA - Bangalore), Alstom Transport (UK) and at Tata Steel (Automation Division, Jamshedpur), all in Research and Development roles at different levels. He has been AICTE-INAE Distinguished Visiting Professor at Birla Institute of Technology, Mesra.

Prof. Arya has filed for more than twenty patents and published more than forty papers in Journals, International Conferences and book chapters. His chapter in the book Evolutionary Computation published by InTech has been downloaded more than 9000 times since 2010, according to the Publisher. His multi-disciplinary research interests cover Artificial Intelligence, Machine Learning and Deep Learning, Evolutionary Algorithms, Game Theory, and Autonomous Systems applied to different domains like Aerospace, Manufacturing and Industry 4.0, Logistics and Supply Chain, Transportation and others.

Contact:;;   +914067135161

  • Education
    • Ph.D. (Aerospace Engineering; Computational Fluid Dynamics), Indian Institute of Technology, Kanpur, India, 1994.
    • M. Tech. (Computational Mechanics), Indian Institute of Technology, Kharagpur, India, 1986.
    • Integrated (5-year) M. Sc.(Mathematics), Indian Institute of Technology, Kharagpur, India, 1984.
  • Research

    Current Research

    • Accurate and real-time simulation of governing physics in complex processes using novel Deep Learning architectures for applications in Industry 4.0 and Digital Twins.
    • Evolutionary Algorithms: single- and multi- objective optimization – for design of systems and processes in diverse domains – manufacturing and process industry, supply-chains, cloud data-centers, airborne engagement scenarios, etc.
    • Multi-Agent Systems and Game Theory for Expert Systems for complex industrial processes.
    • Advanced Analytics based on novel Machine Learning, Deep Learning and Reinforcement Learning Algorithms for real time recognition of incipient faults / digressions in different classes of dynamical systems.
    • Evolutionary Algorithms for parameter optimization of Machine Learning and Deep Learning models.
  • Publications

    Journal papers

    1. Debjani, S. and Bhattacharya, A.K., "Synthesis of CFD and Monte-Carlo simulations for improved design and operation of Dense Medium Cyclones", Computers and Fluids (Elsevier), Vol. 96, June 2014, pp. 47-62.
      Read more
    2. Bhattacharya, A.K., Kouluri, M.K., Srinivas P.S. and Vishal, V., "Online Adaptation of Detection Algorithms in Breakout Prevention Systems for Continuous Casters based on temperature pattern spectral content", Tata Search Journal, 2014, pp. 253-259.
    3. Bhattacharya. A.K., Sambasivam, D. and Debjani A., "Estimation of operating Blast Furnace reactor invisible interior surface using Differential Evolution", Applied Soft Computing (Elsevier), Vol. 13, May 2013, pp. 2767-2789. Read more
    4. Bhattacharya. A.K., RoyChowdhury A., Mitra, P.S., Srinivas, P.S. and Nandi, U., "A system SmartCast for online prognostics of continuous casting conditions for improved process stability and product quality", Invited Paper for Steel Tech Journal, April 2010 issue. Read more
    5. Sambasivam, D. and Bhattacharya, A.K. "Exploration of Flow Behaviour in Dense Media Cyclones using CFD: LES Multiphase Fluent Solutions", Tata Search Journal, 2009, Vol. 1, pp. 63-69.
    6. Magendran, T., Sanjeevi., S., Bhattacharya, A.K. and Surada, S., "Hyperspectral Radiometry to Quantify the Grades of Iron Ores of Noamundi and Joda Mines, Eastern India", Journal of the Indian Society of Remote Sensing, June, 2011. Read more
    7. Bhattacharya, A.K. and Sambasivam, D. "Evolutionary Synthesis of Optimal Oscillation parameters in Slab Continuous Casters for improved Casting Performance: Quality and Stability", Tata Search Journal, 2008, Vol. 2, pp. 257-267.
    8. Bhattacharya, A.K., Srinivas, P., Chithra, K., Jatla, S.V. and Das, J., "Recognition of Fault Signature Patterns using Fuzzy Logic for prevention of breakdowns in Steel Continuous Casting Process", Pattern Recognition and Machine Intelligence, Lecture Notes in Computer Science LNCS 3776, Springer Verlag, 2005, pp. 318-324. Read more
    9. Bhattacharya, A.K., Kumar J. and Jayati, P., "Optimal routing of concurrent vehicles in a minefield using Genetic Algorithms", Tata Search Journal Vol. 2, 2004, pp. 436-442.
    10. Bhattacharya, A.K., "Simulation of store separation from aircraft - an efficient, unsteady CFD based approach", Journal of Aeronautical Society of India, May 1999, pp. 51-62.
    11. Bhattacharya, A.K. and Arora, N.L., "A hybrid Integral Equation - Finite volume scheme for transonic potential flow over complex configurations", Aeronautical Journal, Feb. 1994, pp. 34-48.
    12. Bhattacharya, A.K. and Arora, N.L., "Numerical Modeling of leading edge separated flows at incompressible speeds", Journal of Aeronautical Society of India, Sep. 1992, pp.165-170.

    Book Chapters

    1. Arya K. Bhattacharya and Debjani Sambasivam, Optimization of Oscillation Parameters in Continuous Casting Process of Steel Manufacturing: Genetic Algorithms versus Differential Evolution, Evolutionary Computation, Wellington Pinheiro dos Santos (Ed.), ISBN: 978-953-307-008-7, InTech, Oct 2009, Available here for download (More than 7000 downloads)
    2. H. Narayan and A.K. Bhattacharya, “Accurate, real-time replication of governing equations of physical systems with Transpose CNNs for Industry 4.0 and Digital Twins”, in Machine Learning in Industry, eds. J. P. Davim and S. Datta, ISSN: 2365-0532, Springer Switzerland, 2021 (Accepted). 

    Peer Reviewed Conference Papers

    1. Rochan Avlur, Zakaria Oussalem and Arya Bhattacharya, “Training Convolutional Neural Networks with Differential Evolution using Concurrent Task Apportioning on Hybrid CPU-GPU Architectures”, at IEEE Congress on Evolutionary Computation, Krakow, 2021.
    2. Zakaria Oussalem, Rochan Avlur, Jahnavi Malagavalli and Arya Bhattacharya, “Comparative performances of Neural Networks of variant architectures trained with Backpropagation and Differential Evolution”, at IEEE Congress on Evolutionary Computation, Krakow, 2021.
    3. S.R. Gautam, M. Jahnavi, P. Thangeda and A.K. Bhattacharya, “Synthesis of optimal trajectories in tactical aerial engagements using Multi-Objective Evolutionary Algorithms”, Advances in Multidisciplinary Analysis and Optimization, Lecture Notes in Mechanical Engineering, Springer Singapore, 2021 (Accepted).
    4. R. Arulkumaran, S. Rajesh, N. Kiran and A.K. Bhattacharya, “Real Time Predictions of Adverse Digressions in Critical and Noisy Industrial Processes Using LSTMs”, IEEE HYDCON – International Conference on Engineering in 4th Industrial Revolution, Sep 2020 (In Press).
    5. K. Sahil and A. K. Bhattacharya, "Accurate Replication of Simulations of Governing Equations of Processes in Industry 4.0 Environments with ANNs for Enhanced Monitoring and Control," 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 2019, pp. 1873-1880.
    6. R. R. Annapureddy, A. K. Bhattacharya and N. R. M, "Adaptive Critic Design for Extreme Learning Machines applied to noisy and drifting industrial processes," 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, India, 2018, pp. 327-334.
    7. R. Ravinithesh, A.K. Bhattacharya and G. Rishita, “Advance Predictions of critical digressions in a noisy industrial process- performance of Extreme Learning Machines versus Artificial Neural Networks”, IFAC-PapersOnLine, Volume 51, Issue 1, 2018, Pages 98-105, DOI: also at
    8. P. Thangeda, A.K. Bhattacharya, G. Rajeswari and Ashok Kumar, “Synthesis of Optimal Trajectories in Aerial Engagements using Differential Evolution”, IFAC-PapersOnLine, Volume 51, Issue 1, 2018, Pages 90-97, DOI: or
    9. A. Gupta, P. Manikumar, R. Ravinithesh and A.K. Bhattacharya, “Extreme Learning Machines with frequency based noise filtering for prediction of critical digressions in a noisy industrial process”, 2017 14th IEEE India Council International Conference (INDICON), Roorkee, 2017, pp. 1-6. DOI: 10.1109/INDICON.2017.8487562
    10. A. A. George, A. K. Bhattachrya, S. Hazra and J. L. Bhattacharya, "Enhanced loss of life relationsfor IEEE thermal model for ageing assessment of running transformers in smart grid frameworks," 2017 IEEE Region 10 Symposium (TENSYMP), Cochin, 2017, pp. 1-6.
    11. Bhattacharya, A.K. and Rajasekar, K., “Advance Prediction of Adverse Digressions in Continuous-Time Systems Using ANN Kernels: A Generic Approach Instantiated in Steel Manufacturing”, Springer Series on Advances in Intelligent Systems and Computing, Vol 509, DOI: 10.1007/978-981-10-2525-9, Oct. 2016, Ch. 7, pp 67-79,
    12. Bhattacharya, A.K. and Sambasivam, D., "Multi-objective Differential Evolution for automated control of Industrial Process input material composition incorporating supply-side fluctuations", IEEE Conference on Evolutionary Computation, Vancouver, July 2016, DOI: 10.1109/CEC.2016.7744169
    13. Balouek-Thomert, D., Bhattacharya, A.K., Caron, E., Karunakar, G. and Lefevre, L., “Parallel Differential Evolution Approach for Cloud Workflow placements under simultaneous optimization of multiple objectives”, IEEE Conference on Evolutionary Computation, Vancouver, July 2016, DOI: 10.1109/CEC.2016.7743876
    14. Agarwal, R., Goyal, A., Sambasivam, D. and Bhattacharya, A.K., “Parallelization of industrial process control program based on the technique of differential evolution using multi-threading”, IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, Dec 2014, DOI: 10.1109/IEEM.2014.7058697
    15. Bhattacharya. A.K., Mitra, P.S., Srinivas, P.S., RoyChowdhury A. and Nandi, U., "SmartCast: Mapping complexity of an industrial process into simplicity of a representative system with high modeling fidelity", Proceedings of 8th World Congress on Intelligent Control and Automation, Jinan, China, 7-9 July 2010, pp. 2273-2278. Read more
    16. Bhattacharya, A.K., Sambasivam, D., Debjani A. & Chiranjeevi, G., "Estimation of hearth refractory condition in running blast furnaces: Heat transfer solutions on transformed domains", Proceedings of Second International Conference on Automation and Information Technology in Iron & Steel Making Processes, Ranchi, Dec 9-11, 2009.
    17. Bhattacharya, A.K. and Mohanty, I., "Accretion of Yield Strength Accuracy in Skin Pass Mill using Sequence of Artificial Neural Nets for Elongation Set-Point Specification", Proceedings of Second International Conference on Automation and Information Technology in Iron & Steel Making Processes, Ranchi, Dec 9-11, 2009.
    18. Bhattacharya, A.K., Debjani, S., RoyChowdhury, A. and Das J. "Optimization of Continuous Casting Mould Oscillation parameters in Steel Manufacturing process using Genetic Algorithms", Proceedings of IEEE Conference on Evolutionary Computation, CEC2007, Singapore, Sept 25-28, 2007, pp. 3998-4004. Read more
    19. Bhattacharya, A.K., Tiwari, A., Debjani, A., Nandi, U. and Sarkar, A., "Online Evaluation of Steel Slab quality in production phase by Surface Crack Image Segmentation using Relative Fuzzy Connectedness", Proceedings of The 2007 International Conference on Image Processing, Computer Vision and Pattern Recognition, Las Vegas, ISBN 1-60132-043-4, CSREA Press, June 24-28, pp. 353-361.
    20. Bhattacharya, A.K., Srinivas, S. and Das, J., "Auto Adaptation of Breakout Detection Algorithm with Grade based on Temperature Patterns in Continuous Casting Mold", Proceedings of International Conference on Automation and Information Technology in Iron & Steel Making Processes, Ranchi, Feb 26-28, 2007.
    21. Bhattacharya, A.K., Bhanu C. and Singh B., "Application of Artificial Neural Network in Analysis and Design modes for enhanced, low-cost desulphurization in the steel making process", Proceedings of 20th National Convention of Computer Engineers, Jamshedpur, Feb 2006.
    22. Bhattacharya, A.K., Chithra, K., Jatla, S.V. and Srinivas, P., "Fuzzy Diagnostics System for Breakout prevention in Continuous Casting of Steel", Proceedings of 5th World Congress on Intelligent Control and Automation, Hangzhou, China, 15-19 June 2004, vol.4, pp. 3141- 3145. Read more
    23. Fisher, D.G. and Bhattacharya, A.K., "Analysis of Asynchronous Behaviour in Complex, ERTMS based Railway Systems", Proceedings of International ASPECT Conference of Institute of Railway Signalling Engineers, Sep, 2003, London.
    24. Bhattacharya, A.K. and Sivakumar, A.K., "Design of Fuzzy Logic Controller for unstable fighter aircraft using a Genetic Algorithm for rule optimization", published AIAA Paper 2000-4278 and presented at AIAA Guidance, Navigation and Control Conference, Denver, August 2000
    25. Bhattacharya, A.K., "Simulation of store separation from aircraft - an efficient, unsteady CFD based approach", Invited Paper at 3rd. Asian CFD Conference, Bangalore, Dec. 1998, published in Proceedings, Vol. 1, pp. 156-165.
    26. Bhattacharya, A.K., Kanagarajan, V. and Mohan, S.R., "Unsteady Transonic Hybrid Integral Equation Finite Volume scheme for trajectory simulation of stores with time-step adaptation", Proceedings of 21st. ICAS Congress, Melbourne, Australia, Sep. 1998, Paper No. ICAS-98-2.4.4. Read more
    27. Bhattacharya, A.K., "Unsteady Transonic Integral Equation scheme for trajectory simulation of stores", AIAA Paper 98-0751, presented at 36th. AIAA Aerospace Sciences Conference, Reno, USA, Jan. 1998.
    28. Bhattacharya, A.K. and Arora, N.L., "A Field Integral technique for leading edge separated flow over delta wings at transonic speeds", Proceedings of 6th. International symposium on CFD, Lake Tahoe, USA, Sep. 1995, pp. 105-110.
    29. Bhattacharya, A.K. and Arora, N.L., "A hybrid Integral Equation - Finite Volume scheme for transonic potential flow past arbitrary configurations", Proceedings of Fifth Asian Congress of Fluid Mechanics, South Korea, Aug. 1992, pp. 618-621.
  • Experience
    • Dean of Research and Development since Jan 2018.
    • Professor of Computer Science, specializing in Artificial Intelligence, at current Institute.
    • AICTE-INAE Distinguished Visiting Professor at BIT, Mesra; June 2012 to April 2014.
    • Head of Intelligent Systems and Mathematical Modelling Expert Group, Automation Division, Tata Steel, Jamshedpur; Jan 2003 to Apr 2014.
    • Head of Department of Modeling & Analysis, Alstom Transport Information Solutions, London UK; Nov 2000 to Dec 2002.
    • Scientist at various levels at Aerodynamics Division, Aeronautical Development Agency, Bangalore; Aug 1993 to July 2000.
    • Aeronautical Engineer at Hindustan Aeronautics Limited, Bangalore; Aug 1986 to Dec 1988.
  • Others


    • Twenty-two patents filed since 2004, dealing with industrial applications of different research areas covered above.
    • Arya K. Bhattacharya (Mahindra University, Primary Inventor), Sujan Hazra (TSL), Kumar Deepanshu (TSL), Samik Nag (TSL), Artika Agrawal (Mahindra University), R.K. Amit (IIT M), "Perpetual Optimal Performance of Industrial Reactor applying principles of Game Theory", Patent filed through Tata Steel, Reference no.P||1406||2||2021, Indian Patent Application number in process of acquisition.
    • Arya K. Bhattacharya, “Digital Twins using Convolutional Neural Networks to emulate detailed conditions within represented physical processes”, Indian Patent Applied; Application number: 202141007423 (2021).
    • Amrita Agnes, Arya K. Bhattacharya, and Sayantan Hazra.“System and Method for Loss of Life calculation for Ageing Assessment of running Transformers in a Smart Grid Framework”. US 2018-0003759 A1. Date of Filing: 26.04.2017, Publication Date: 01.04.2018.
    • Arya K. Bhattacharya, Sayantan Hazra and Amrita Agnes. “System and method for accurately monitoring and computing ageing life of a transformer in a smart grid framework”. Application Number: 201621022408; Date of Filing: 30.06.2016, Publication Date: 05.01.2018.


    • Senior Member, Institute of Electrical and Electronics Engineers.
    • Member, American Institute of Aeronautics and Astronautics.
    • Member, Association of Computing Machinery.
    • Member, International Council of Systems Engineers.
    • Member, Indian Institute of Metals. 

    Recent Keynote Lectures

    • Annual Technical Meet of Indian Institute of Metals, corresponding to National Metallurgist’s Day, Nov 2018, Role of Artificial Intelligence in Manufacturing Industry.
    • Second International Conference on Machine Learning and Data Sciences, Dec 2018, Adaptive Critic Design for Extreme Learning Machines for Drifting Industrial Processes.
    • Thirds International Conference on Machine Learning and Data Sciences, Dec 2018, Synthesis of Optimal Trajectories for Missile-Target Engagements using Multi-Objective Evolutionary Algorithms.