Dr. Ravi K. Bompelly is an Associate Professor in the Mechanical Engineering Department at Ecole Centrale School of Engineering. His research interests are in the areas of combustion, propulsion, clean energy, and fluid mechanics. He has about five years of experience in designing advanced gas turbine engines for the power/aviation industry.

  • Ph.D. – Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA – 2012
  • M.S. – Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA – 2008
  • B.Tech & M.Tech (Dual Degree) – Aerospace Engineering, IIT Madras, Chennai, India – 2006

  • Bompelly, R., “Deceleration transient response improvement of aircraft engines with active lean blowout control” Proceedings of the National Aerospace Propulsion Conference, Dec 2022.
    • Bompelly, R., Ponduri, SPK, Maddila, S, “Vortex Breakdown and Recirculation Bubble Formation in Counter Swirl Flows” Proceedings of the ASME Turbo Expo, Vol. 3B, p. V03BT04A022, (2021). https://doi.org/10.1115/GT2021-60005
    • Bompelly, R., Seitzman, J., “Robust Lean Blowout Sensing for Turbine Engine Combustors” Proceedings of the ASME Turbo Expo, Vol 3, p. 445-455, (2011). https://doi.org/10.1115/GT2011-46702
    • Bompelly, R., Seitzman, J., “Static Stability Margin Sensing in a LDI Turbine Engine Combustor at Elevated Pressure” 49th AIAA Aerospace Sciences Meeting, p. 514, Paper AIAA 2011-514, (2011). https://doi.org/10.2514/6.2011-514
    • Bompelly, R., Periagaram, K., Lieuwen, T., Seitzman, J., “Static Stability Margin Sensing in a Lean Direct Injection (LDI) Turbine Engine Combustor” 48th AIAA Aerospace Sciences Meeting, P. 0193, Paper AIAA 2010- 0193, (2010). https://doi.org/10.2514/6.2010-193
  • Bompelly, R., Lieuwen, T., Seitzman, J., “Lean-Blowout and its Sensing in the Presence of Combustion Dynamics in a Premixed Swirl Combustor” 47th AIAA Aerospace Sciences Meeting, P. 982, Paper AIAA 2009-982, (2009). https://doi.org/10.2514/6.2009-982
    • Presentations
    • Seitzman, J., Lieuwen, T., Crawford, J., Bompelly, R., “Detection and Control of Instabilities and Blowoff for Low Emissions Combustors” NASA Fundamental Aeronautics Program Technical Conference, 2012, Cleveland, OH.
    • Seitzman, J., Lieuwen, T., Crawford, J., Bompelly, R., “Detection and Control of Instabilities and Blowoff for Low Emission Combustors” NASA GRC Propulsion Controls and Diagnostics (PCD) Workshop, 2009, Cleveland, OH.
    • Seitzman, J., Lieuwen, T., Crawford, J., Bompelly, R., “Detection and Control of Static and Dynamic Combustor Instability” NASA Fundamental Aeronautics Program Annual Meeting, 2008, Atlanta, GA.

    • Mahindra University, Assistant Professor – 2018 – present
    • GE Aviation, Bangalore, India, Lead Engineer – 2014-2018
    • TAO Sustainable Power Solutions, West Palm Beach, FL, USA, Combustion Engineer – 2012-2013
    • Graduate Teaching and Research Assistant, Georgia Institute of Technology, Atlanta, GA, 2006-2012.

    Research Areas
    Gas turbine combustion, Combustion Instabilities, Emissions, Laser Flow Diagnostics, Experimental Testing and CFD modeling, Turbine Aerodynamics

    Sponsored Research Projects

    • Design optimization of turbine nozzle guide vane three dimensional airfoils, Sponsored by Aeronautics Research and Development Board (AR&DB), Role: Principal investigator, INR 48.18 lakhs, 2023.
    • Investigation and Development of Physics Informed Neural Networks for Analysis of Complex Fluid Dynamics phenomena, Sponsored by Aeronautics Research and Development Board (AR&DB), Role: Co-PI, INR 25 Lacs, 2022.
    • Detection and Control of Instabilities and Blowout for Low Emission Combustors, Sponsored by NASA Glenn Research Center, OH, USA, 2007-2012.
    Awards
    • Secured national 8thrank in the entrance test (GATE) for admission to masters in engineering programs in India, 2004
    • Ranked in the top 1% in the entrance test (IIT-JEE) for admission to undergraduate programs in Indian Institute of Technologies, 2001
    • Pratibha scholarship by the state of Andhra Pradesh, India for academic excellence (2002-2005)

    Dr. Sebastian Uppapalli has been an investigator in air quality studies and development of novel modular power system. His current research focuses on the multiphysics simulations and characterization of flow dynamics for Newtonian, non-Newtonian and complex fluids within Microfluidics, Electrohydrodynamics and Biofluid dynamics.He is a member of Fluidics and Heat Transfer Laboratory, MU and recently guided students to develop an Autonomous Underwater Vehicle.He has also performed applied research in the fields of characterization of algae biofuels and building energy efficiency.

    • Ph.D. – UNLV (2014)
    • M.S. – UNR (2003)
    • B.E. – RCERT, Nagpur University (1999)

    • Uppapalli, S. and Zhao, H., 2014. The influence of particle size and residual charge on electrostatic interactions between charged colloidal particles at an oil–water interface. Soft Matter, 10(25), pp.4555-4560.
    • Uppapalli, S. and Zhao, H., 2012. Polarization of a diffuse soft particle subjected to an alternating current field. Langmuir, 28(30), pp.11164-11172.
    • Gillies, J.A., Etyemezian, V., Kuhns, H., McAlpine, J.D., King, J., Uppapalli, S., Nikolich, G. and Engelbrecht, J., 2010. Dust emissions created by low-level rotary-winged aircraft flight over desert surfaces. Atmospheric Environment, 44(8), pp.1043-1053.
    • Zhu, D., Nussbaum, N.J., Kuhns, H.D., Chang, M.C.O., Sodeman, D., Uppapalli, S., Moosmüller, H., Chow, J.C. and Watson, J.G., 2009. In-plume emission test stand 2: emission factors for 10-to 100-kW US military generators. Journal of the Air & Waste Management Association, 59(12), pp.1446-1457.

    • Assistant Professor Mahindra University – July 2017 to Present
      • CFD Simulations for Biofluid dynamics, Electrohydrodynamics, Microfluidics and Hydrodynamics.
      • Instruction for Thermo-Fluid Sciences.
    • Sr. Mechanical Engineer Ion Power Group, US – January 2016 to December 2021
      • Thermo-fluid simulations and system characterization.
    • Research Associate Energy Systems Lab – August 2009 to June 2010
      • CFD simulations and characterization of spectral power for Algae Photo-bioreactor.
    • Application Engineer STS, LLC – December 2008 to June 2009
      • Control and Automation Software Development for Energy Efficiency Applications.
    • Research Engineer PEML lab, DRI – January 2004 to October 2008
      • Development and characterization of Emissions Systems.

    Microfluidics, Biofluid Dynamics, Electrohydrodynamics, Lab-on-Chip technologies, Fluid-Structure Interaction.

    Dr. Prasad Pokkunuri is an Associate Professor in the Department of Mechanical Engineering at École Centrale School of Engineering, Mahindra University. He has a unique blend of industrial and academic research, and teaching experience, covering a wide range of domains.

    • University of California, Riverside: Ph.D, Mechanical Engineering
    • Indian Institute of Technology, Kharagpur: B.Tech (Hons.), Mechanical Engineering

    • Prasad P., Raghavesh V., Sebastian U., and Utkarsh S. “Method and system for heat transfer enhancement in solar particle receivers”. Patent Application 202141058153. Filed December 2021.
    • Sadineni S., Kotikalapudi R., Madilla S. S. P., and Pokkunuri P., “Numerical Solution of Laminar Flow over Symmetric NACA Airfoils”. Journal of Fluid Flow, Heat and Mass Transfer (JFFHMT), 8 (2021). DOI: 10.11159/jffhmt.2021.016
  • Noble H., Kulkarni S., Sunil K., and Pokkunuri P., “Drag Reduction Properties of Sharkskin Riblets”. Accepted to 5th International Conference on Experimental and Numerical Flow and Heat Transfer (ENFHT 20). Presented ‘virtually’ during 14 – 16 October, 2020.
  • Kunati N. R., Madisetty A. D., and Pokkunuri P., “Sustainability Ranking of Solar Power Projects using Multi-Criteria Decision Methods (MCDM)”, ISES SWC2019/ SHC2019 Conference Proceedings (2019). DOI:10.18086/swc.2019.28.02
    • Phani Keerthan K. S., and Prasad P., “Performance Analysis of Al2O3 Packed-Bed Energy Storage”. Presented at International Conference on Advanced Ceramics and Nanomaterials for Sustainable Development (ACeND 2018), Bengaluru, September 2018.
    • Sri Harsha M. S., Nikhil K., and Prasad P., “External Flows Around Simplified Automobiles”. Presented during First Annual Undergraduate Research Symposium (URS 2018) at Mahindra École Centrale, Hyderabad, August 2018.
    • Sai Rohan Gowtham K., and Prasad P., “Sensitivity of Non-Newtonian Fluid Flow Simulation in OpenFOAM to the Underlying Viscoelastic Models”. Presented during First Annual Undergraduate Research Symposium (URS 2018) at Mahindra École Centrale, Hyderabad, August 2018.
    • Prasad P., “Simplified modelling of viscoelastic fluids for use in recoil damping systems”. Presented at 19th International Conference on Advances in Fluid Mechanics, Tokyo, Japan, March 2017.
    • Dave H., and Prasad P., “CFD study of aerodynamic drag reduction using deflectors on an Ahmed body”. Presented at Computational Science Symposium, Indian Institute of Science, Bangalore, India, March 2017.
  • Prasad P., “Impulse response of the viscous Burgers equation with a magneto-rheological viscosity”. Presented at Latest Advances in Computational and Applied Mathematics, Mahindra École Centrale, Hyderabad, India, December 2016.
  • Goel N., Romero M., Prasad P., Steinfeld A., Goswami D. Y., and Stefanakos E., “Absorber for concentrated solar power system”, WIPO Patent WO/2013/021397, 2013.
  • Prasad P., Nissenson P., and Dabdub D., “Impact of the Knudsen number and mass transfer expression on multi-phase kinetic modelling”, Atmospheric Environment, 44:153—163, 2010.
  • Prasad P., Nissenson P., Finlayson-Pitts B., and Dabdub D., “Importance of interface reactions with varying particle size”. Presented at AirUCI’s 5th Annual Workshop, Laguna Beach, California, USA, January 2009.
  • Nissenson P., Prasad P., Jimenez-Aranda A., and Dabdub D., “Modelling mass transfer and interfacial reactions of chemical species at aerosol surfaces”. Presented at AirUCI’s 4th Annual Workshop, Newport Beach, California, USA, January 2008.
  • Prasad P. and Mahalingam S., “Exhaust gas recirculation effects on hydrogen-air combustion”, Combustion Science and Technology, 179(6):1131—1157, 2007.
  • Prasad P., Zhou X. Y., and Mahalingam S., “Large eddy simulation of turbulent reacting mixing layers”. Presented as Paper #05F-69 at the Fall Meeting of Western States Section of the Combustion Institute, Stanford University, California, USA, September 2005.
  • Prasad P., Zhou X. Y., and Mahalingam S., “Large eddy simulation of a turbulent hydrogen jet flame using the filtered density function approach”. Presented at the Tenth International Conference on Numerical Combustion of the the Society for Industrial and Applied Mathematics, Sedona, Arizona, USA, March 2004.
  • Prasad P. and Mahalingam S., “An examination of time-scale effects on the combustion of hydrogen in air”. Presented as Paper #03F-46 at the Fall Meeting of Western States Section of the Combustion Institute, University of California, Los Angeles, California, USA, September 2003.

    • July 2017 – Present, Associate Professor, Ecole School of Engineering, Mahindra University

    Academic Experience

    • Assistant Professor in Mechanical Engineering at Institute of Infrastructure, Technology, Research, and Management
    • Visiting Faculty at Rajiv Gandhi University of Knowledge Technologies

    Industry Experience

    • Scientist in ABB India Corporate Research Centre, Bangalore
    • Lead R&D Engineer at SunBorne Energy Technologies, Gurgaon
    • Assistant Manager at Maruti Udyog Limited, Gurgaon

    Doctoral and Postdoctoral Experience

    • Postdoctoral Researcher at University of California, Irvine
    • Graduate Student Researcher at University of California, Riverside
    • Teaching Assistant at University of California, Riverside

    Dr. Prasad has been involved in basic and applied research, in the broad areas of thermal-fluid sciences. His work covers a wide range of domains related to energy and environment, from investigating conditions for (NOx) emissions reduction in hydrogen combustion to studying the effects of interfacial reactions in releasing ozone destroying species (Cl2 and Br2) into the atmosphere from sea-salt particles, as well as designing solar receivers that absorb concentrated solar radiation enroute its conversion to electricity, and developing thermal energy storage to produce power from the sun when it isn’t shining. Dr. Prasad is a firm proponent of student led research, with classroom teaching laying the foundation for asking fundamental questions that develop into interesting research projects.

    Dr. Prasad’s present focus is on enhancing heat transfer in solar particle receivers (basic/applied research) and in developing novel, low GWP (Global Warming Potential) air-conditioning systems (applied research – industry collaboration).

    Palash Roy Choudhury is an Associate Professor in the Department of Mechanical Engineering at Mahindra University.

    The focus of his research is the generation of necessary scientific understanding and engineering solutions for the development of processing routes for structural and functional engineering materials. He is a generalist with varied interests in understanding the physics of materials and applied materials science and engineering.

    • Ph.D. (IISc Bangalore), 2008
    • M.S. (IISc Bangalore), 2004
    • B.Tech. (University of Calcutta), 2002

    • Patil, Aishwarya, Subhendu Naskar, Yogendra Mahton, Chirag Goenka, Partha Saha, Abhijit Bhattacharyya, and Palash Roy Choudhury. “The comparative tribological characteristics of squeeze cast and wrought Al-Mg-Si alloys.” Tribologia-Finnish Journal of Tribology 42, no. 1–2 (2025): 11-23.
    • Arun Jana, Shreeya Rane , Palash Roy Choudhury and Dibakar Roy Chowdhury, Nanotechnology 33, 325202 (May 2022)
    • Palash Roy Choudhury, Korimilli Eswar Prasad, John K. Schueller and Abhijit Bhattacharyya, Proc IMechE Part J: J Engineering Tribology, 1–13.
    • Bhattacharyya, Abhijit, Scott WT Payne, Palash Roy Choudhury, and John K Schueller, Int. Journ. of Mech. Engg. Ed., (December 2020).
    • Kathavate, V. S.; Kumar, Praveen B.; Singh, I.; Choudhury, Palash Roy; Prasad, Eswar K., Journal of Coupled Systems and Multiscale Dynamics, Volume 6, Number 4, December 2018, pp. 291-299(9).
    • HK Kundu, S. Ray, K. Dolui, V. Bagwe, Palash Roy Choudhury, T. Das, Pratap Raychaudhuri, and A. Bid, Phys. Rev. Lett. 119, 226802 (2017).
    • Chirakkara, S., Choudhury, Palash Roy., Nanda, K.K. Materials Research Express, 3(4), p.045023 (2016).
    • Palash Roy Choudhury, Santosh Chiniwar and S.B.Krupanidhi, Solid State Comm. (208), 15–20 (2015).
    • Pradip Chakraborty, Palash Roy Choudhury and S. B. Krupanidhi,–J. Crys. Growth. 337 (1) 7 (2011)
    • Palash Roy Choudhury and S. B. Krupanidhi, J. App. Phy. 104, 114105(2008).
    • Palash Roy Choudhury and S. B. Krupanidhi, App. Phys. Lett. 92, 102903 (2008).
    • Palash Roy Choudhury and S B Krupanidhi,’, Solid State Commun. 143, 223 (2007).
    • Dhananjay Kekuda., Palash Roy Choudhury, J Nagaraju and S B Krupanidhi, J. Phys. D: Appl. Phys. 39, 2664 (2006).

    • Dec-2015 – Present Associate professor at Mahindra University
    • Senior Research Associate, Indian Institute of Science, Bangalore, India (2014-15)
    • Assistant Professor, Galgotias University, Noida, UP (2012-14)
    • Postdoctoral Researcher, NTNU, Trondheim, Norway (2010-12)
    • Postdoctoral Researcher, UFR/ST Microelectronics, Tours, FRANCE (2008-09)

    • Structure/Property correlations in Engineering Alloys
    • Tribological Characterization of Materials
    • Growth of Thin Films and Nanostructures
    • Functional Oxide- Interface Effects
    • Atomic Force Microscopy/Imaging of Nanomaterials

    Prof. Manish Agrawal is working as an Professor in the Department of Mechanical Engineering, Ecole Centrale School of Engineering at Mahindra University, Hyderabad. He has obtained a Ph.D. in Mechanical Engineering with specialization in Thermal Engineering from Indian Institute of Technology, Indore (2014).

    Previously he has worked as Senior Researcher, Nuclear Thermal Hydraulics at Environment and Energy Technology Inc. at Deajeon, South Korea (2015-2016) and also as a post-doctoral fellow in the Department of Mechanical Engineering at Indian Institute of Technology Bombay (2016-2017).

    • Ph.D., Mechanical Engineering, IIT Indore; 2014
    • M.Tech, Mechanical Engineering; VJTI, Mumbai; 2009
    • B.Tech, Mechanical Engineering; BIT Durg; 2007

    Selected Publications: Journals
    • Nagaraju Napa, Manish Agrawal, Bhaskar Tamma, Development of Electro-Thermal Model for Prismatic Lithium-ion Cell Subjected to Electric Vehicle Drive Cycle Using Converging Fluid Channel, International Journal of Thermal Sciences 199 (2024) 108935, https://doi.org/10.1016/j.ijthermalsci.2024.108936
    • Nagaraju Napa, Manish Agrawal, Bhaskar Tamma, “Phase change material properties identification for the design of efficient thermal management system for cylindrical lithium-ion battery module”, Journal of Energy Storage, Vol 99 (2024) 113241, https://doi.org/10.1016/j.est.2024.113241
    • Sruthi Kalivendi, Bharghavi Gorthi, Nagaraju Napa, Manish Kumar Agrawal and Bhaskar Tamma, Characterization and Performance Evaluation of Vertical Axis Wind Turbine, ICFTES2024, Paper ID: 102, Proceedings of the 2nd International Conference on Fluid, Thermal and Energy Systems, June 6-8, 2024, NIT Calicut, Kerala, India
    • Manoj Kumar Desu, Nagaraju Napa, Abhishek M, Manish Kumar Agrawal and Bhaskar Tamma, Analysis of Air based Thermal Management System for Lithium-ion Battery Pack, ICFTES2024, Paper ID: 101, Proceedings of the 2nd International Conference on Fluid, Thermal and Energy Systems, June 6-8, 2024, NIT Calicut, Kerala, India (Best paper award)
    • Abhishek M, Nagaraju Napa, Manish Kumar Agrawal, Bhaskar Tamma, Akhil Garg, Thermal Modeling of Large Format Prismatic Lithium-Ion Cell – A Comparative Study 2024-28-0144, 11th SAEINDIA International Mobility Conference (SIIMC 2024), DOI: https://doi.org/10.4271/2024-28-0144
    • Nagaraju Napa, Manish Kumar Agrawal, Bhaskar Tamma, Development of electro-thermal model for air cooling study of electric vehicle lithium-ion battery module operating in Indian conditions and drive cycle, Applied Thermal Engineering, Volume 240, 2024, 122233, ISSN 1359-4311, https://doi.org/10.1016/j.applthermaleng.2023.122233
    • Nagaraju Napa, Manish Agrawal, Bhaskar Tamma, “Thermal management of battery pack by employing NC, FC and immersion cooling” 27th National and 5th International ISHMT – ASTFE Heat and Mass Transfer Conference – 2023, IIT Patna
    • Nagaraju Napa, Manish Agrawal, Bhaskar Tamma, Converging Fluid Channel Design to Improve Thermal Performance of Prismatic Lithium-ion Cell (2023), IEEE 1st International conference on Cyber Physical Systems, Power Electronics, and Electric Vehicles (ICPEEV 2023), Mahindra University, Hyderabad, India
    • Nagaraju Napa, Manish Kumar Agrawal, Bhaskar Tamma, Design of novel thermal management system for Li-ion battery module using metal matrix based passive cooling method, Journal of Energy Storage, Volume 73, Part C, 2023, 109119, ISSN 2352-152X, https://doi.org/10.1016/j.est.2023.109119
  • Agrawal M K, Sahu S. K., (2016) An experimental study on the rewetting of a hot vertical surface by circular water jet impingement, Experimental Heat Transfer, 29:2 pp 151-172. (DOI: 10.1080/08916152.2014.973973)
  • Agrawal M K, Sahu S. K., (2016) Analysis of Three-Region Conduction-Controlled Rewetting of a Hot Surface by Variational Method, Heat Transfer Engineering, 37:9 pp 763-773. (DOI:10.1080/01457632.2015.1080563)
  • M. Modak, S. Srinivasan, K Garg, S S Chougule, M K Agrawal, S K Sahu, (2015) Experimental investigation of hea transfer characteristics of the hot surface using Al2O3-water nano-fluids, Chemical Engineering and Processing: Process Intensification, 91 pp 104-113. (DOI:10.1016/j.cep.2015.03.006)
  • Agrawal M K, Sahu SK, (2014) Analysis of Multi-Region Conduction-Controlled Rewetting of a Hot Surface Under The Influence of Precursory Cooling by Variational Integral Method, Applied Thermal Engineering, 73:1 pp 267-276. (DOI:10.1016/j.applthermaleng.2014.07.062)
  • Agrawal M K, Sahu S K, (2013) Analysis of Conduction-Controlled Rewetting of a Hot Surface by Variational Method, Heat and Mass Transfer, 49:7 pp 963-971. (DOI: 10.1007/s00231-013-1139-6)
    • Conferences
  • Napa, Nagaraju; Agrawal, Manish Kumar; Tamma, Bhaskar; Design of an Air-Based Thermal Management and Predictions of Thermal Characteristics of Lithium-Ion Cell Using 1D Numerical Model, 2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET), Bhubaneswar, India, 6-Jan 2023, doi:10.1109/SeFeT57834.2023.10244838
  • Pushkar, K; Napa, Nagaraju; Madichetty, Sreedhar; Agrawal, Manish Kumar; Tamma, Bhaskar; Thermal Analysis of Lithium Ion Battery Pack with Different Cooling Media 2022 SAE Technical Paper (No. 2022-28-0043) DOI: https://doi.org/10.4271/2022-28-0043
  • Napa, Nagaraju; Agrawal, Manish; Tamma, Bhaskar; Bendaram, Anirudh Reddy; Heat Transfer Characteristics of electrochemical cell− A numerical study, Proceedings of the 26thNational and 4th International ISHMT-ASTFE Heat and Mass Transfer Conference December 17-20, 2021, IIT Madras, Chennai-600036, Tamil Nadu, India 2021, pg. 1259-1265, Begel House Inc. DOI: 10.1615/IHMTC-2021.1900
  • Reddy Gade, V., Seth, D., Agrawal, M.K., Tamma, B. (2021). Development of Autonomous UVC Disinfectant Robot. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. AI, Product and Service. HCII 2021. Lecture Notes in Computer Science(), vol 12778. Springer, Cham. https://doi.org/10.1007/978-3-030-77820-0_11
  • S. S. Samavedam, A. R. Bandaram, M. K. Agrawal and B. Tamma, “Multizone Modelling of Heat Transfer Characteristics of an Electrochemical Cell Pack,” 2021 IEEE Transportation Electrification Conference (ITEC-India), New Delhi, India, 2021, pp. 1-7, doi: 10.1109/ITEC-India53713.2021.9932491
  • Manish Kumar Agrawal, Santosh Sahu, (2018) Rewetting analysis of hot surface with property variation and precursory cooling, Paper No. 414, Proceedings of the 7th International and 45th National Conference on Fluid Mechanics and Fluid Power (FMFP), IIT Bombay, Mumbai, India.
  • Manish K Agrawal, Krati Garg, Aditya Singh, Santosh K Sahu, (2014) An analysis of a three-region conduction controlled rewetting of hot surface by variational method, 22nd International Conference on Nuclear Engineering, ICONE22, Prague, Czech Republic.
  • Manish K Agrawal, Mayank Modak, Santosh K Sahu, (2014) Heat transfer characteristics of hot surfaces using high alcohol surfactant by impinging liquid jet, Lect. Notes Mechanical Engineering, Arun K. Saha et al., FLUID MECHANICS AND FLUID POWER – CONTEMPORARY RESEARCH, 5th International and 41st National Conference on Fluid Mechanics and Fluid Power, FMFP 2014, IIT Kanpur, India.
  • Satish Chandra, Palash Gupta, Manish K Agrawal, Santosh K Sahu, (2014) An experimental investigation to analyse the heat transfer characteristics of hot surface by obliquely impinging liquid jet, Lect.Notes Mechanical Engineering, Arun K. Saha et al., FLUID MECHANICS AND FLUID POWER – CONTEMPORARY RESEARCH, 5th International and 41st National Conference on Fluid Mechanics and Fluid Power, FMFP 2014, IIT Kanpur, India.
  • Agrawal M K, Sahu SK, (2013) Conduction controlled rewetting analysis of a hot surface by variational method, 22nd National and 11th International ISHMT-ASME Heat and Mass Transfer Conference, IIT Kharagpur.
  • Gupta P, Chandra S, Agrawal M K, Sahu SK, (2013) Heat transfer characteristics of an obliquely impinging liquid jet, 40th National conference on Fluid Mechanics and Fluid Power”, FMFP- 2013, NIT Hamirpur.
  • Santosh K Sahu, Manish K Agrawal, (2013) Application of Various Measurement Techniques to Analyze Rewetting of Hot Surfaces, The Institution of Engineers (India), All India semiar on ‘Computer application in Engineering: Emerging trends and technologies, IIST, Indore, MP, India.
    • Book Chapters
  • Avadhesh Kumar Sharma, Mayank Modak, Santosh Kumar Sahu and Manish Kumar Agrawal (2020) Infrared Thermal Imaging Technique for Temperature Measurement in Various Energy Systems, Dynamics and Control of Energy Systems, Chapter 20, pg. 465-496, Springer Nature Singapore Pte Ltd.
  • Manish Kumar Agrawal, Santosh Sahu, (2018) Application of variational integral method to analyze variety of rewetting problems, Heat Conduction: Methods, Application and Research, Nova Science Publishers, Inc

    • Associate Professor, Mechanical Engineering Department, Mahindra University (2021-present)
    • Assistant Professor, Mechanical Engineering Department, Mahindra University (2017-2021)
    • Post-Doctoral Fellow, Department of Mechanical Engineering, IIT Bombay (2016-2017)
    • Senior Researcher, Nuclear Thermal Hydraulics, Environment and Energy Technology Inc., Daejeon, South Korea (2015-2016)

    • Jet impingement cooling
    • Thermal management of electric vehicle batter pack
    • Flow through channels at low Reynolds number

    Kondaiah Pulla is an Associate Professor in the Mechanical Engineering Department at Mahindra École Centrale College of Engineering. He successfully obtained his Ph.D. in Machine Design from IIT Madras, Chennai, India (2010-2014). His Ph.D. research contributed to the development of magnetoelectric sensor for thermal application. Furthermore, his research described formulation of Pyroelectric and Pyromagnetic effects for enhancing the performance of magnetoelectric sensor. He completed his Master in Manufacturing Engineering from NIT Karnataka, Surathkal, India (2007-2009). During his master’s, his focus areas were Advanced Manufacturing and Polymer Composites.

    • Ph.D. in Mechanical Engineering (Machine Design), IIT Madras, India
    • M.Tech. in Mechanical Engineering (Manufacturing Technology), NIT Karnataka, Surathkal, India
    • B.Tech. in Mechanical Engineering, JNTU Hyderabad, India

  • Chaitanya Ruhatiya, Ruthvik Gandra, P. Kondaiah, Kura Manivas, Aditya Samhith, Liang Gao, Jasmine Siu Lee Lam and Akhil Garg, “Intelligent optimization of bioleaching process for waste lithium‐ion batteries: An application of support vector regression approach”, Int. J. Energy Res., Vol. 45, pp. 6152-6162 (2020)
  • P. Kondaiah and K. Shankar (2017), “Pyroeffects on Magneto-Electro-Elastic Sensor patch subjected to Thermal load”, Int. Journal of Smart Structures and Systems 19, 299-307.
  • P. Kondaiah, K. Shankar and N. Ganesan (2015), “Pyroeffects on magneto-electro-elastic sensor bonded on mild steel cylindrical shell”, Int. Journal of Smart Structures and Systems, 16, 537-554.
  • P. Kondaiah, K. Shankar and N. Ganesan (2014), “Pyroeffects on multiphase magneto-electro-elastic sensor patch bonded on mild steel plate”, Int. Journal on Smart sensing and Intelligent systems, 7, 1134-1155.
    • P. Kondaiah, K. Shankarand N. Ganesan (2013), “Pyroelectric and pyromagnetic effects on multiphase magneto-electro-elastic cylindrical shell for axisymmetric temperature” Smart Mater. Struct. 22, 025007 (13pp).
    • P. Kondaiah, K. Shankar and N. Ganesan (2013), “Pyrolectric and pyromagnetic effects on behavior of magneto-electro-elastic plate” Int. Journal of Coupled Systems and Mechanics, 2, 1-22.
    • P. Kondaiah, K. Shankar and N. Ganesan (2012), “Studies on Magneto-Electro-Elastic Cantilever Beam under Thermal environment” Int. Journal of Coupled Systems and Mechanics, 1, 205-217.
    • P. Kondaiah, K. Shankar and N. Ganesan (2012), “Magneto-electro-elastic beam under thermal environment”. Int. Journal of Advanced Materials Manufacturing & Characterization, 1, 36-47.
    Conference Publications:
  • P. Kondaiah, “Thermally Induced Vibration of Magneto-Electro-Elastic Structure under
    Transient Thermal Environment” 9th International Conference on Materials for Advanced Technologies (ICMAT2017), 18-23 June’2017, Suntec Singapore.
  • P. Kondaiah, K. Shankar and N Ganesan, “The Pyroelectric and Pyromagnetic effects on multiphase Magneto-Electro-Elastic sensors bonded to mild steel cantilever beam”, Second International Conference on Advances in Materials Processing and Characterisation(AMPC2013), 6th -8th February, 2013, Anna University Chennai, India.
  • P. Kondaiah, K. Shankar and N Ganesan, “Studies on multilayer multiphase MEE/BaTiO3Beam under Thermal environment”, Fourth International Congress on Computational Mechanics and Simulation (ICCMS 2012), 10th -12th December, 2012, IIT Hyderabad, India.
  • P. Kondaiah, Sathisha H M, Appu Kuttan K K and Ravikiran Kadoli,“Investigation on free vibration due to laminar flow of lubricant in a pipe” Frontiers In Mechanical Engineering (FIME 2010), 20th -22nd May, 2010, NIT Karnataka, Surathkal, India.
  • Narasimha Marakala,P. Kondaiah, Appu Kuttan K K and Ravikiran Kadoli, “Experimental studies on dynamic behavior of cantilever slender pipe conveying compressed air ” 54th Congress of Indian Society of Theoretical and Applied Mechanics(ISTAM 2009), 18th -21st December, 2009, Netaji Subhas Institute of Technology, New Delhi, India.

    • Oct-2021 – Associate Professor at Department of Mechanical Engineering, Ecole Centrale School of Engineering, Mahindra University Hyderabad, India.
    • Mar-2014 to Oct-2021: Assistant Professor in Department of Mechanical Engineering at MU Hyderabad, India
    • Sep-2013 to Mar-2014: Associate Professor in Department of Mechanical Engineering at MREC Hyderabad, India
    • Aug-2011 to May-2013: Teaching Assistantin Department of Mechanical Engineering at IIT Madras, India
    • July-2009 to May-2010: Assistant Lecturer in Department of Mechanical Engineering at NIT Karnataka, Surathkal, India
    • May-2005 to Aug-2005: Design Intern at Thermal Systems Pvt. Ltd.
    • Introduction to Engineering Design (B. Tech 1 year) – Fall 2014, Spring 2017
    • Introduction to Computer Science(B. Tech 1 year) – Spring 2015, Spring 2016
    • Solid and Fluid Mechanics (B. Tech 2 year) – Fall 2015, Fall 2016
    • Introduction to Electrical Engineering (B. Tech 1 year) – Fall 2014, Fall 2015
    • Workshop Practice (B. Tech 1 year) – Spring 2019, Spring 2020
    • Engineering Drawing (B. Tech 1 year) – Fall 2019, Spring 2021
    • Computer Aided Engineering Design (B. Tech 2 year) – Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019, Fall 2020
    • Machine Drawing (B. Tech 2 year) – Spring 2018
    • Mechanics (B. Tech 2 year) – Fall 2020, Fall 2021
    • Experimental Analysis (B. Tech 3 year) – Spring 2017
    • Finite Element Methods in Engineering (B. Tech 3 year) – Fall 2017
    • Design of Machine Elements (B. Tech 3 and 4 year) – Spring 2018, Fall 2020
    • Ph.D Supervision :
      Ongoing: 1
    • UG projects: 14
    • Interns: 1

    Multidisciplinary areas of interest which include:

    Smart Materials and Structures, Coupled Field (Multiphysics) Analysis, Optimization, Thermomagnetic Heat Management, Battery Thermal Management, Battery Pack Design, Phase Change Material, Structural Health Monitoring, Polymer Composites, Manufacturing Automation, Advanced Manufacturing, Application of Embedded Systems in Manufacturing, Sensors and transducers.

    Research projects:

    • Internal R&D Grant for project titled ‘Conversion of Low-Grade Waste Heat into Electricity’.
      Role: Principal Investigator, Total funding: ₹200000.00
      (Project dates: 01/01/19 – 31/07/21)

    Dr. Jagan Mohan Padbidri serves as an Associate Professor in the Department of Mechanical Engineering at École Centrale School of Engineering, Mahindra University. Dr. Padbidri holds a doctoral degree from Washington State University, USA. Subsequently, he worked as a postdoctoral research fellow at Georgia Tech and as a Materials design engineer at QuesTek Innovations LLC, Evanston, IL. He joined Mahindra Ecole Centrale in 2015.

    His areas of interest are Computational solid mechanics in general and Multiscale and Microstructure sensitive modelling approaches for Structure – Property correlations and ICME, and Micromechanics of deformation and comminution in granular materials, among others.

    He has been awarded the Early Career Research award from SERB.

    • Ph.D. in Mechanical Engineering, Washington State University, Pullman, WA.
    • M.S. in Mechanical Engineering, Washington State University, Pullman, WA.
    • B.Tech. in Mechanical Engineering, J.N.T.U College of Engineering, Hyderabad.

    Journal publications
    • Padbidri, Jagan M. , and Keshav Kashichenula. “Novel Kinematic Boundary Conditions For Deformation of Granular Materials.” Journal of Coupled Systems and Multiscale Dynamics 6.4 (2018): 317-324.
    • Vandekerkhove P, Padbidri J. M and McDowell D. L. Integrated Cumulative Error (ICE) distance for non-nested mixture model selection: Application to extreme values in metal fatigue problems. Electronic Journal of Statistics, 2014, v 8, n 2, pp. 3141-3175.
    • Padbidri J. M , Hansen C. M, Mesarovic S. Dj and Muhunthan B. Length scale for transmission of rotations in dense granular materials. Journal of Applied Mechanics, Transactions ASME, 2012, v 79, n 3, pp. 031011-1-9.
    • Mesarovic S. Dj, Padbidri, J.M and Muhunthan B. Micromechanics of dilatancy and critical state in granular matter. Geotechnique Letters, 2012, v 2, n 4-6, pp. 61-66.
    • Padbidri J. M and Mesarovic S. Dj. Acceleration of DEM algorithm for quasistatic processes. International Journal for Numerical Methods in Engineering, 2011, v 86, n 7, pp. 816-828.
    • Mesarovic, S. Dj and Padbidri, J. Minimal kinematic boundary conditions for simulations of disordered microstructures, Philosophical Magazine. 2005, v 85, n 1, pp. 65-78
    Conferences and Talks
    • Padbidri, Jagan M. ; Effect of boundary conditions on the liquefaction behavior of granular materials: A 2D DEM study, 14th WCCM – ECCOMAS 2020, 11 – 15 January 2021.
    • Padbidri, Jagan M. ; Microstructure sensitive modelling of material failure, International workshop on mechanics of energy materials, IIT Chennai, November 19 – 22, Chennai, (2018).
    • Computational approaches for microstructure – property relations, Materials and Design -An Engineering Challenge, FDP 2016, Vardhaman College of Engineering, Hyderabad, June 13-17, 2016.
    • Živković, M., Topalović, M., Blagojević, M., Nikolić, A., Milovanovć, V., Mesarović, S. and Padbidri, J., Boundary identification and weak periodic condition application in DEM method. In Proceedings of the Conference on Mechanical Engineering Technologies and Application, Jahorina, 2014.
    • Mesarovic, S.Dj., Padbidri, J.M., Muhunthan, B. 2013 Micromechanics of dilatancy, critical state and shear bands in dense granular matter. Poromechanics V: Proceedings of the Fifth Biot Conference on Poromechanics. Vienna, Austria, 2013
    • Padbidri J. M , McDowell D. L, Prasannavenkatesan R, Olson G. B and Geller C. B. Modelling short crack growth in stainless steel clad materials. International Conference on Fatigue Damage of Structural Materials IX, September 16 – 21, 2012, Hyannis, MA.
    • Mesarovic S. Dj and Padbidri J. Granular Materials: Micromechanics and Multiscale Modeling. 2nd International Congress of Serbian Society of Mechanics, June 1 – June 5, 2009, Palić, Serbia.
    • Padbidri J and Mesarovic S. Dj, Transition Between Models in Multiscale Simulations: Continuum and Granular Models, 5th. European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2008), June 30 – July 5, 2008, Venice, Italy.
    • Mesarovic, S, Dj and Padbidri, J. 2008 Transition between the models in multiscale simulations: Continuum and network models. In Proc. CP73 Multiscale & Functionally Graded Materials, 2006, G.H. Paulino et al, eds. 171-177.
    • Mesarovic S. Dj and Padbidri J. Multiscale Modeling: Network-Continuum Models, 15th U.S. National Congress for Theoretical and Applied Mechanics, June 2006, Boulder, CO.
    • Mesarovic S. Dj and Padbidri J. Minimal Boundary Conditions for Simulation of Disordered Materials, ASME Mechanics and Materials Conference, June 2003, Scottsdale, AZ.

    • Associate Professor, Mahindra École Centrale, 2018 – present.
    • Assistant Professor, Mahindra École Centrale, 2015 – 2018.
    • Materials Design Engineer, QuesTek Innovations LLC, Evanston, IL, 2013 – 2015.
    • Post-Doctoral Research Fellow, Georgia Institute of Technology, Atlanta, GA, 2010 – 2013.

    Research Interests

    • Multi-scale and Microstructure sensitive material modelling for fracture and fatigue
    • Micromechanics of granular materials and Granular comminution
    • Application of AI and ML models to computational mechanics

      Sponsored Projects
    • Title: A simplex network – cell approach to study failure mechanisms in granular materials.
    • Role: Principal Investigator
    • Funding Agency and Scheme: Science and Engineering Research Board, Department of Science and Technology (SERB – DST), Early Career Research Award.
    • Sanctioned Amount: INR 29.68 L

    Dr. Deep Seth is an Associate Professor in the Mechanical Engineering Department, École Centrale School of Engineering at Mahindra University.
    Prior to joining Mahindra University, he was a Ph.D. Researcher in Automation, Production and Robotics at IRCCyN, École Centrale de Nantes. He also had post doctoral research experience in Exoskeleton robots from Biorob Inc. South Korea.
    Dr. Deep Seth has expertise in Robotics, Bio-robots, medical robots, mobile robots, soft robots and Exoskeleton/exo-suits.

    • September 2013 – July 2016: Doctor of Philosophy (Ph.D.) – IRCCyN, École Centrale de Nantes, France
    • July 2011 – June 2013: Master’s of Technology: Manufacturing Engineering – National Institute of Technology, Warangal, India
    • July 2006 – June 2010: Bachelor’s of Technology: Mechanical Engineering – Uttar Pradesh Technical university, Lucknow, India
    • July 2004 – April 2006: Intermediate (10+2) – DAVIC, Orai, India (Mathematics and Science) – – U.P. Board
    • July 2003 – April 2004: High School (10th) – DAVIC, Orai, India (Mathematics and Science) – – U.P. Board

    • Sravya Koppuravuri, Sukumar Sai Pondari and Deep Seth, “Sign Language to Speech Converter Using Raspberry-Pi”, Book:Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Communication, Organization and Work, Chapter No: 3, Springer Nature(2020) LNCS-12199. Chapter DOI:10.1007/978-3-030-49907-5_3
    • Vishal Reddy Gade, Ashish Soni, Bharghava Rajaram, and Deep Seth , “Semi-Autonomous Collaborative Mobile Platform with Pre-Diagnostics for Hospitals”, Book:Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human-Robot Interaction, Chapter no. 30, Springer Nature (2020), LNCS 12198. Chapter DOI: 10.1007/978-3-030-49904-4_30
    • Seth D., Vardhan Varma V.K.H., Anirudh P., Kalyan P. (2019) Preliminary Design of Soft Exo-Suit for Arm Rehabilitation. In: Duffy V. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications. HCII 2019. Lecture Notes in Computer Science, vol 11582. Springer, Cham
    • Sayyapureddi S.V., Nandyala V.R., Komarneni A., Seth D. (2018) Design and Development of an Electric Skateboard Controlled Using Weight Sensors. In: Streitz N., Konomi S. (eds) Distributed, Ambient and Pervasive Interactions: Understanding Humans. DAPI 2018. Lecture Notes in Computer Science, vol 10921. Springer, Cham
    • New Dynamic Muscle Fatigue Model to Limit Musculo-Skeletal Disorder (Accepted/Under Publication), Laval Virtual 2016: International Conference and Exhibition on Virtual Technologies and Uses, (2016). DOI: http://dx.doi.org/10.1145/2927929.2927935
    • Experimental validation of a New Dynamic Muscle Fatigue Model, Springer International Publishing, Switzerland 2016, V.G.Duffy (Ed.): DHM 2016, LNCS 9745, pp 54- 65,2016. DOI: 10.1007/978-3-319-40247-5_6
    • Validation of a New Dynamic Muscle Fatigue Model and DMET Analysis, International Journal of Virtual Reality, 2016, 16(01), 22-32, (2016)

    • July 2017 to Present: Assistant professor, Mahindra University, Hyderabad
    • May 2017 to July 2017: Post doc Researcher, BioRob Inc., Koreatech, Cheonan, South Korea.

    Area of Research: Robotics

    DST funded Project: Currently Working on the development of an Exo-Skeleton/Exo-Suit for upper extremity (currently working on arm). He have experience in Mechanical, Biomechanics, Mechatronics and Robotics projects with experience in industrial ergonomics human factor study, signal processing and experiment protocol definition.
    Experience with bio-mechanics devices and software like Biodex, Ergometer-contrex, Powerlab data acquisition, Pro/E, Matlab and Labchart.

    Consultancy Project: Mahindra and MahindraMobile robot application in industrial domain.

    Two areas (where prospective PhD can work):

    1. Biomedical robotics or exoskeleton/wearable devices.
    2. Mobile robot platform.
    Award:

    Heritage Erasmus Mundus Fellowship Funded by European Union (2013)

    Dr. N. Raghu Kisore completed his Ph.D. in Computer science from Auburn University, USA in 2009 and M.Tech. in Computer Science from IIT Madras in 2001. He has 13 years of Industrial and academic research experience. In the past he has worked various roles in organizations such as General Motors, Samsung, and LG. During his time in Industry, he worked in areas such as Information and System Security, health care, home automation and mobile OS platforms. In addition to his industry experience he also has 8 years of academic research experience having worked as an Assistant Professor at Institute for Development and Research in Banking Technology (a research institute established by the Reserve Bank of India). He has over 30 peer reviewed research publications in various international conferences and journals. So far, he has guided over 10 Masters Students in their researches.

    • 2010 December Auburn University, Auburn, U.S.A. Ph.D. in Computer Science and Engineering.
    • 2001 December Indian Institute of Technology-Madras, Chennai, India. M.Tech. in Computer Science and Engineering.
    • 2000 June Sri Venkateswara University, Tirupati, India. B.Tech. in Electronics and Communication Engineering.

    International Journals
  • N. Raghu Kisore, K.Shiva Kumar, “FFRR: a software diversity technique for defending against buffer overflow attacks,” International Journal of Information and Computer Security, Inderscience Publishers, In print.
  • N. Raghu Kisore, “A Qualitative Framework for Evaluating the Strengths and Weakness of Buffer Overflow Protection Mechanisms in Defending against Large Scale Attacks,” International Journal of Information and Computer Security, Inderscience Publishers, Vol. 8, No. 3, pp. 272-307, 2016.
  • N. Raghu Kisore, and Ch.Bala Koteshwariah, “Improving ATM Coverage Area Using Density Based Clustering Algorithm and Voronoi Diagrams,” International Journal of Information Sciences, Elsevier Publishers, Vol 376, pp. 1-20.
    • Qing Yang, Raghu Neelisetti, Kenan Casey, and Alvin Lim. An Empirical Study of Real-Time Target Tracking with CPA Algorithm in Wireless Sensor Networks. In Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2008.
    • Raghu Neelisetti, Kenan Casey and Alvin Lim. RTDD: A Real-Time Communication Protocol for Directed Diffusion. In IEEE Wireless Communications & Networking Conference (WCNC), 2008.
    • Raghu Kisore Neelisetti, Shuang Li, Alvin Lim. Delay-Constrained High Throughput Protocol for Multi-Path Transmission over Wireless Multimedia Sensor Networks, 9th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, 2008.
    • Qing Yang, Raghu Kisore Neelisetti, Alvin Lim, Pratima Agrawal. Efficient Routing for Vehicular Networks based on Relative Position and Velocity. IEEE The 3rd International Symposium on Innovations and Real-Time Applications for Distributed Sensor Networks Shreveport, Louisiana, Nov. 26-27, 2007
    • Raghu Kisore Neelisetti, Alvin Lim, Pratima Agrawal and Qing Yang. A Robust Clustering Algorithm for Target Tracking in Wireless Acoustic Sensor Networks. In 3rd IEEE International Symposium on Innovations and Real-Time Applications for Distributed Sensor Networks Shreveport, Louisiana, Nov. 26-27, 2007.
    International Conference
  • Ajantha Kancharla, Raghu Kisore N, “Applicability of AutoML to modelling of time series data”, 6th International Congress on Information and Communication Technology, February 25 th – 26th, 2021, London UK (Accepted), Springer Publiscations.
  • Shreeven Kommireddy, Piyush Raj Pandey and N. Raghu Kisore, “Detection of Heart Arrhythmia Using Hybrid Neural Networks”, IEEE Region 10 conference, Tencon, 16th – 19th, 2020, Osaka, Japan
  • V. Srikanth and N. Raghu Kisore, “Empirical Study of Buffer Overflow Protection Mechanisms in their Ability to Defend Against Large Scale Cyber Attacks”, 3rd IEEE International Conference Recent Advances in Information Technology (RAIT), Dhanbad, India, March 3-5, 2016.
    • K. Raja Rathnam Naidu and N. Raghu Kisore, “A stochastic game theoretic model for expanding ATM services”, 6th IEEE International Workshop on Data Mining for Service in association with 15th IEEE International conference on Data Mining, (ICDM), Atlantic City, NJ USA, Nov. 15-17, 2015.
    • N. Raghu Kisore, and Ch.Bala Koteshwariah, “A fuzzy version of generalized DBSCAN clustering algorithm” In 2nd ACM IKDD Conference on Data Sciences, Bangalore, India, Mar. 18-21, 2015
    • K. Raja Rathnam Naidu and N. Raghu Kisore, “Strategizing ATM Operations using Mixed Game Theory”, 12th IEEE India International Conference (INDICON), New Delhi, India, Dec 17-20, 2015.
    • N. Raghu Kisore and Supriya Sagi, “A Secure SMS Protocol for Implementing Digital Cash System” In 4th IEEE International Conference on Advances in Computing, Communications & Informatics (ICACCI), Kochi, India, Aug. 10-13, 2015
    • K. Raja Rathnam Naidu and N. Raghu Kisore, “Optimizing ATM Placement Using Game Theory” In 4th IEEE International Conference on Advances in Computing, Communications & Informatics (ICACCI), Kochi, India, Aug. 10-13, 2015
    • V.Srikanth and N. Raghu Kisore, “Design of experimental test bed to evaluate effectiveness of software protection mechanisms against buffer overflow attacks through emulation”, 5th IEEE International Conference on computational Intelligence and Computing (ICCIC), Madurai, TN, India Dec 10-12, 2015.
    • T. Shiva Prasad and N. Raghu Kisore, “Identifying Metamorphic Virus Using n-grams And Hidden Markov Model” In 4th IEEE International Conference on Advances in Computing, Communications & Informatics (ICACCI), Kochi, India, Aug. 10-13, 2015
    • Sankalp Maurya and N. Raghu Kisore, “Benchmarking of Open Source Big Number Arithmetic Libraries”, 5th IEEE International Conference Control, Instrumentation, Communication & Computational Technologies (ICCICCT), Kumaracoil, TN, India, Dec 18-19, 2015.
    • K. Raja Rathnam Naidu and N. Raghu Kisore, “A Survey of Tools for Visualizing Geo Spatial Data”, 5th IEEE International Conference Control, Instrumentation, Communication & Computational Technologies (ICCICCT), Kumaracoil, TN, India, Dec 18-19, 2015.
    • T. Shiva Prasad and N. Raghu Kisore, “Application of Hidden Markov Model for Classifying Metamorphic Virus” In 5th IEEE International Advance Computing Conference, Bangalore, India, Jun. 12-13, 2015
    • Nasibeh Mohammed and N. Raghu Kisore, “Experimental Evaluation of Security in 2G Cellular Networks in India” In 5th IEEE International Advance Computing Conference, Bangalore, India, Jun. 12-13, 2015
    • K. Gowtham Sricharan and N. Raghu Kisore, “Mathematical Model to Study Propagation of Computer Worm in a Network” In 5th IEEE International Advance Computing Conference, Bangalore, India, Jun. 12-13, 2015
    • N. Raghu Kisore and P.Ganga Reddy, “Empirical determination and evaluation of factors that impact ATM placement”, In 48 th IEEE Hawaii International Conference on System Sciences, Kauai, USA, Jan. 5-8, 2015
  • K. Shiva Kumar and N. Raghu Kisore, “Protection against buffer overflow attacks through runtime memory layout randomization”. IEEE 13th International conference on Information technology, Bhubaneswar, India, Dec. 22-24, 2014

    • Associate Professor 2019 Oct – Present Mahindra University, Ecole Centrale College of Engineering, Hyderabad Courses: Cloud Computing, Enterprise Software Architecture, Cryptography and Network Security, Software Engineering
    • Assistant Professor 2017 Jul – 2019 Sep Mahindra University, Ecole Centrale College of Engineering, Hyderabad Courses: Cryptography and Information Security, Software Engineering, Mobile Communications and Mobile Computing,
    • Assistant Professor 2012 Nov – 2016 Apr Institute for Development and Research in Banking Technology, Hyderabad Courses: Advanced Computer Networks, Mobile Communications and Mobile Computing.
    • Organization: General Motors, Nov 2010 – June 2012 Role: Researcher
    • Organization: LG Soft India (R and D), Mar 2010 – Oct 2010 Role:Scientist
    • Organization: Central Research Laboratory (BEL), Mar 2002 – June 2004 Role: Member Research Staff

    Current Research Interests are security analytics, precision agriculture and abstractive text summarization.

    Dr. Om Prakash Patel is an Associate Professor in the Department of Computer Science & Engineering at Mahindra University École Centrale School of Engineering. He has done his Ph.D. in Computer Science and Engineering from Indian Institute of Technology, Indore, India, in 2018.

    His current research interests include quantum computing inspired neural network learning algorithm, pattern recognition, hybrid neural network, and deep learning. He has published various journal papers including IEEE Transactionsand SCI Indexed Journals of International ranked conferences. He has also received two best paper awards. He is the reviewer of the neural processing letters, soft computing Springer, IEEE SSCI, Inderscience journals, FUZZ-IEEE, IEEE CEC, IEEE IJCNN and many more. He is also working on some projects in collaboration with the University of Technology Sydney, IIT Indore, CSIR-CEERI Pilani, and C-DAC Pune, ICAR-IISR Indore. He has been invited to several talks in FDP. Prior to joining MU, he worked as an assistant professor (senior grade) in the Department of Computer Science & Engineering at Jaypee Institute of Information Technology, Noida.

    • Ph.D. (Computer Science & Engineering) from Indian Institute of Technology Indore. (2018)
      Dissertation Title: Investigations in Quantum Inspired Neural Network Learning Algorithms
    • M.E. (Computer Engineering) Shri G.S Institute of Technology and Science, Indore. (2011)
    • B.E. (Information Technology) from University Institute of Technology, RGPV, Bhopal. (2009)

    JOURNALS
  • P. Jha., A. Tiwari, N. Bharill, N., Ratnaparkhe, M., O. P. Patel, Harshith, N., … & Nagendra, N, “Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis,” International Journal of Data Science and Analytics, vol. 15, pp. 359-378, 2023
    • P. Patel, N. Bharill, A. Tiwari, and M. Gupta, “A Novel Quantum-inspired Fuzzy Based Neural Network for Data Classification,” IEEE Transactions on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETC.2019.2901272, PP. 1- 14, 2019. (SCI Index)
    • P. Patel, N. Bharill, A. Tiwari et al., ” Advanced Quantum Based Neural Network Classifier and Its Application for Objectionable Web Content Filtering,” IEEE Access, DOI: 10.1109/ACCESS.2019.2926989, PP. 98069 – 98082, 2019. (SCIE Index)
    • Bharill, O. P. Patel, A. Tiwari et al., “A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering,” IEEE Access, DOI: 10.1109/ACCESS.2019.2891956, PP. 1-12, 2019. (SCIE Index)
    • Bharill, A. Tiwari, A. Malviya, O. P. Patel, A. Gupta, D. Puthal, A. Saxena, and M. Prasad, “Fuzzy Knowledge Based Performance Analysis on Big Data”, Neurocomputing Elsevier, DOI: 10.1016/j.neucom.2018.10.088, 2019. (SCI)
    • P. Patel, A. Tiwari, et al., “Enhanced Quantum based Neural Network Learning and its Application to Signature Verification”, Soft Computing, Springer, doi.org: 10.1007/s00500-017-2954-3, ISSN: 1433-7479, vol. 23(9), pp. 3067-3080, 2017. (SCIEIndex)
    • Saxena, O. P. Patel, et al., “A Review of Clustering Techniques and Developments,” Neurocomputing, Elsevier, vol. 267, DOI: 10.1016/j.neucom.2017.06.053, ISSN: 0925-2312, pp. 664-681, 2017. (SCI Index).
    • P. Patel, A. Tiwari, V. Bagade, Quantum inspired Stacked Auto-encoder based Deep Neural Network Algorithm (Q-DNN), Arabian Journal for Science and Engineering, Springer, DOI: 10.1007/s13369-017-2907-2, ISSN: 2193-567X, pp. 1-15, 2017. (SCIE Index)
    • Bharill, O. P. Patel, and A. Tiwari, “Quantum-inspired Evolutionary Approach for Selection of Optimal Parameters of Fuzzy Clustering,” International Journal of System Assurance Engineering and Management, Springer, DOI: https://doi.org/10.1007/s13198-017-0681-x, ISSN: 0975-6809, pp. 1-13, 2017. (Scopus, and Emerging Sources Citation Index)
  • P. Patel, and A. Tiwari, Novel Quantum Inspired Binary Neural Network Algorithm, Sadhana – Academy Proceedings in Engineering Sciences, Springer, ,vol. 41(11), DOI: 10.1007/s12046-016-0561-0, ISSN: 0256-2499 pp. 1299–1309, 2016. (SCIE Index)
    • BOOKS/ CHAPTER EDITED
  • P. Patel and A. Tiwari, “Liver Disease Diagnosis using Quantum based Binary Neural Network Learning Algorithm”, e-book: Proceedings of Fourth International Conference on Soft Computing for Problem Solving: (SocProS 2014), Springer-Verlag Berlin Heidelberg, DOI 10.1007/978-81-322-2220-0_34, ISBN 978-81-322-2220-0,vol. 2, no. 5, 2015,pp. 425-434.
  • P. Patel and A. Tiwari, “Quantum Based Learning with Binary Neural Network”, e-book: Proceedings of the International Conference on Computational Intelligence in Data Mining (CIDM 2014), Springer-Verlag Berlin Heidelberg, DOI 10.1007/978-81-322-2208-8_43, ISBN 978-81-322-2208-8, vol. 2, 2014, pp.473-482.
    • CONFERENCES
  • P. Jha, A. Tiwari, N. Bharill, O.P Patel et al, “Machine Learning Algorithm for Soybean Leaf Disease Detection,” International Conference on Vegetable Oils-2023 (ICVO 2023), Hyderabad, January 17-21, (2023) (In press).
  • Jha, A. Tiwari, N. Bharill,M. Ratnaparkhe, O. P. Patel, N. Harshith and S. L. Solasa ,”A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm”, 2022 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp), Daegu, Korea, January 17-20, 2022 (Accepted).
  • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O.P. Patel, S. Saloni, and N. Sreeharsh, “HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data”, The 29th International Conference on Neural Information Processing (ICONIP 2022), India, pp. 205-215, November 22-2 (2022) (Rank-A).
  • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O. P. Patel, A. Chauhan, N. Sreeharsh, R. Pulakitha, S. Saloni, “Scalable Feature Extraction and Fuzzy Clustering for Large RNAseq Analysis on High-Performance Computing”, IEEE Symposium Series on Computational Intelligence Singapore, December 4-7 (2022) (Accepted, Rank-B)
  • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O. P. Patel, R. Pulakitha, A. Chauhan, “High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data”, IEEE Symposium Series on Computational Intelligence Singapore, pp. 1400-1407, December 4-7, (2022) (Rank-B).
  • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O.P. Patel, V. Anand, S. Arya, T. Singh, “HPC Enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data”, 19th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology 15-17, Ottawa, ON, Canada, pp. 1-8, August, (2022) (Rank-B)
  • S. Siddhartha, O. P. Patel, N. Bharill, “Advanced Quantum Inspired Evolutionary Algorithm for Multivariate Optimization”, The 24th IEEE/ACIS-Sponsored International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2022), Taichung, Taiwan, December 7-9 (2022) (Accepted, Rank C)
  • S. Siddhartha, O.P. Patel, N. Bharill, “Advanced Quantum Inspired Evolutionary Optimization Algorithm”, 2022 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), pp. 57-64, August (2022).
  • H. Go, T. Jan, M. Mohanty, O. P. Patel, D. Puthal and M. Prasad, “Visualization Approach for Malware Classification with ResNeXt”, IEEE World Congress on Computational Intelligence (IEEE CEC 2020), Scottish Event Campus Ltd, Glasgow, United Kingdom, July 2020 (Rank B).
    • P. Patel, A. Tiwari, Ojas Gupta, and Vikram Patel, A Quantum-based Neural Network Classifier and its application for Firewall to Detect Malicious Web Request, IEEE Symposium Series on Computational Intelligence (SSCI), Cape Town, South Africa , pp. 67 – 74, Dec 2015 (Rank C).
    • Bharill, O. P. Patel, and A. Tiwari, An Enhanced Quantum-Inspired Evolutionary Fuzzy Clustering, IEEE Symposium Series on Computational Intelligence (SSCI), Cape Town, South Africa, pp. 772 – 779, Dec 2015 (Rank C).
    • P. Patel, N. Bharill, and A. Tiwari, A Quantum-Inspired Fuzzy Based Evolutionary Algorithm for Data Clustering, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE Computational Intelligence Society Conference (CIS), Istanbul, Turkey, pp. 1 – 8, Aug. 2015 (Rank A).
    • P. Patel, and A. Tiwari, Advance Quantum inspired binary neural network algorithm, 16thInternational Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), IEEE Computational Intelligence Society Conference (CIS), Takamatsu, Japan, pp. 1-6, June 2015 (Rank B).

    • Currently working as Assistant Professor in Mahindra University, Hyderabad from Aug-2019
    • Jaypee Institute of Information Technology, Noida (U.P.) Assistant Professor – January 2019-August 2019.
    • KLE Tech University (Hubali, Karnataka.) Assistant Professor – August 2018 to December 2018.
    • Jindal Institute of Technology (Raigarh, Chhattisgarh) Assistant Professor – Jan 2013 to December 2013.
    • Cap Gemini India Ltd., Mumbai Software Engineer – May 2012 to Dec 2012.

    Research Interests: Quantum Computing, Machine Learning, Deep Learning, Hybrid Machine Learning Algorithm, Pattern Recognition.

    Research Projects

    • Project Title: A Novel Scalable High-Performance Machine Learning Algorithms for NGS Analysis of Genomics Data at Exascale Level
      Funds Approved: 24.96 Lakhs (INR)
      Funding Agency: National Supercomputing Mission (NSM)
      Investigators: Dr. Aruna Tiwari (IIT Indore); Dr. Milind Ratnaparkhe (ICAR-IISR, Indore); Dr. Neha Bharill ( Mahindra University, Hyderabad) and Dr. Om Prakash Patel (Mahindra University, Hyderabad)
    • Experience of writing research proposal and submitted a research grant-funding proposal in Joint collaboration of IIT Indore-CEERI Pilaniwith the principle investigator Dr. Aruna Tiwari.
    • The project title is “Design of Quantum inspired Fuzzy based Neural Network for Multi-class and its Hardware Realization”.
    • The project of cost 3 lakhs is approved and its reference number is (139/IITI-CEERI Joint project/16-17).
    • Status:Successfully completed the project of Design of Quantum inspired Fuzzy based Neural Network for Multi-class and its Hardware Realization.

    Workshop Organized:

    Organized workshop on “High Performance Computing in the Agriculture Domain” under the National Supercomputing Mission (NSM), Supercomputer Education and Research Center (SERC) jointly conducted by Mahindra University, IIT Indore, ICAR-IISR Indore in collaboration with C-DAC Pune, IISC Bangalore, IIT Kharagpur from 14thJuly to 16th July, 2021. (Organizers: Dr. Neha Bharill and Dr. Om Prakash Patel from Mahindra University Hyderabad, and Dr. Aruna Tiwari from IIT Indore, and Dr. Milind Ratnaparkhe from Indian Institute of Soybean Research (ICAR-IISR) Indore)

    Invited Speaker

    • Speaker in 3rd National Workshop on Computational Intelligence (NWCI-2019) at Jaypee Institute of Information Technology Noida.
    • Speaker in AICTE sponsored Two Week Faculty Development Programme on “Artificial intelligence for industry 4.0” During 22ndFeb – 8th March, 2021(Phase-I conduct by Department of Mechanical Engineering of CMR Institute of Technology Hyderabad
    • Delivered a talk on “Evolutionary Quantum Algorithms” in five-day Faculty Development Programme on “Artificial Intelligence and Machine Learning using Python” in association with E & ICT academy, NIT Warangal sponsored by Ministry of Electronics and Information Technology (MeitY), GOI during 13th – 18th December 2021

    PROFESSIONAL SERVICES
    EDITOR/ SPECIAL SESSIONS/ REVIEWER:

    • Organizing Special Session on “Evolutionary Quantum inspired Machine Learning Algorithms” at IEEE Congress on Evolutionary Computation (IEEE CEC 2022) under the umbrella of IEEE WCCI 2022, Padua, Italy, 18 July to 23 July, 2022 (Rank A Conference) (Organizers: Om Prakash Patel, Dr. Neha Bharill from Mahindra University, Dr. Mukesh Prasad from University of Technology Sydney Australia, and Dr. Khaldoon Dhou from Texas A&M University – Central Texas)
    • Organized Special session on “Hybrid Machine Learning Algorithms and Applications” in International Conference on Emerging Techniques in Computational Intelligence, Mahindra University, Hyderabad, 25-27 Aug, 2021. (Organizers: Om Prakash Patel and Dr. Neha Bharill from Mahindra University, and Dr. K.V. Sambasiva Rao from NRI Institute of Technology Pothavarappadu, and Dr. Dheeraj Rane from Medi-Caps University, Indore, India)
    • Organized Special Session on “Scalable Incremental Fuzzy Learning Techniques for Big Data and Genome Sequence Analysis” atIEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021), Luxembourg, Europe,11th July to 14th July, 2021 (Rank A Conference) (Organizers: Neha Bharill and Dr. Om Prakash Patel from Mahindra University, and Dr. Aruna Tiwari from IIT Indore, and Dr. Milind Ratnaparkhe from Indian Institute of Soybean Research (ICAR-IISR) Indore)
    • Organized Special Session on “Evolutionary Quantum inspired Machine Learning Algorithms” at IEEE Congress on Evolutionary Computation (IEEE CEC 2021), Krakow, Poland, 28thJune to 1st July, 2021 (Rank A Conference) (Organizers: Om Prakash Patel, Dr. Neha Bharill from Mahindra University, Dr. Omprakash Kaiwartya Senior Lecturer, School of Science & Technology, Nottingham Trent University (NTU), United Kingdom (UK) and Dr. Manoranjan Mohanty Senior Lecturer, Center for Forensic Science at the Faculty of Science, University of Technology Sydney (UTS), Sydney, Australia)
    • Organized a Special Session on “Soft Computing: Feature Extraction and Learning on Image and Text Data” under 2019 IEEE International Conference On Systems, Man, And Cybernetics going to be held in Bari, Italy, October 2019.
    • Organized a Special Session on “Evolutionary Algorithms and Applications” under 2019 Soft Computing for Problem Solving – SocProS 2019 going to be held in Liverpool Hope University, Liverpool UK.

    Reviewer

    • Reviewer of Neural Processing Letters, Springer
    • Reviewer of Neural Computing & Applications, Springer
    • Reviewer of Soft Computing, Springer
    • Reviewer of Int. J. of Business Intelligence and Data Mining, Inderscience
    • Reviewer of IEEE SSCI 2018, SocPros and many conferences.
    • Reviewer of FUZZ-IEEE , IEEE CEC, IEEE IJCNN 2020
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