Members who work/worked with me are listed in this page with details of their work. If you are interested to know more about the work of the current members, you can write to them directly
DD- Dual Degree. BTech- Engineering Design & MTech - Automotive or Biomedical specialization

Current members

Balasubramanian Ramachandran     Degree: Ph.D (Jan 2014 -current)
(External candidate from Caterpillar, India)
Quantifying uncertainties in Fatigue based design.

Aishwarya     Degree: Ph.D (July 2014 - Current)
(External candidate from Centre for Social Innovation and Entrepreneurship)
Farmer producer organisations
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Deepan Jayaraman     Degree: Ph.D. (July 2015 - Current)
Robust Design Strategies for Scarce Data including Outliers

Kiran Pannerselvam     Senior Project Officer (July 2016- current)
Applied statistics, data science and time series for internet marketing
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Pradeep P K     Degree: Ph.D (July 2016- current)
co-guide: Prof. Amit R K, Dept of Management studies, IIT Madras
(ID and external candidate from Ford)
Capturing user expectations in design

Sukanta Kumar Tulo     Degree: Ph.D (Aug 2018- current. Interdisciplinary program. Primary Guide: Prof. Ramakrishnan, Applied Mechanics, IIT Madras)
Statistical analysis of MRI Images

Kannan Sekar     Degree: MS(July 2021- current. Formerly, Project Associate 2018-2021)
Optimization - form design
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Suja Shree     Degree: Ph.D (January 2019- current)
Transfer learning and optimization algorithms

Vamanie Perumal     Ph.D (Aug 2020- current. Formerly, Project Associate 2019-20)
Internet marketing data analytics

Deepanshu     Degree: Ph.D (Aug 2019- current)
Self organizing maps and multiobjective optimization

Deepak Nagar     Degree: M.S (Aug 2019- current)
Self Organizing Maps

Dibyalochana Sahoo     Degree: M.S (Jan 2020- current)
Convexity models for UQ

Naman     Degree: M.S (Jan 2020- current)
Modified chebyshev inequality for UQ

Pugazhenthi     Degree: Ph.D. (Jan 2020- current)
Uncertainty quantification and propagation in structured FE approaches

Rashmi Rama Sushil     Degree: M.S (Aug 2020- current)
Self Organizing Maps for output assessment as a function of DoE
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Shridhar Shirish Kulkarni     Degree: M.S (Aug 2020- current)
Warranty data analysis
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Mahesh Shankar     Degree: M.S (Aug 2020- current)
Self organizing maps
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Pranjul Dubey     Degree: M.S (Aug 2021- current)
Motifs in time series
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Mohan Raj     Degree: PhD (Jan 2022- current)
Quantum inspired multi objective optimization
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Rahul Kunte     Project Associate (Sep 2021- current)
Time series analysis and transformers
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Arun Ganesh     Project Associate (Sep 2021- current)
Image processing for anomaly detection
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Former Members

Nagesh Kolagani     Degree: Ph.D (July 2011- June 2016)
Model Calibration and Evaluation for Participatory Planning of Resource Management Systems

Senior consultant, TN E-Governance

Edward Jero     Degree: Ph.D (Dec 2011 -Apr 2016)
ECG Steganography using Discrete Wavelet Transform and Singular Value Decomposition.

Assistant Professor, Vellore Institute of Technology, Chennai

Sidhant Pravinkumar Thole     Degree: M.S (July 2017- August 2020)
Interpretable Self Organizing Maps for Design Space Exploration and Optimization
Lead Data Scientist at AI CoE, Fidelity Investments

Sivakumar A     Degree: M.S (July 2018- 2022)
Sustainability based design optimisation
Nissan Renault, Chennai
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Akash Bhagwan Kumbhar     Degree: M.S (July 2018- 2022)
Active Subspaces in Uncertainty Quantification
Pristine Infotech

Akhil Kumar Reddy Nukala   Project Associate (May 2021- current)
Data science and image processing
M.S, Northeastern University, Boston

Raghuvaran   Project Associate (June 2021- current)
Internet marketing data analytics

Naveen Raj, Ph.D   Project officer (May 2021- current)
Applied statistics and internet marketing analytics
Assistant Professor, NIT Puducherry
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Dhanush Aadithya   Dual Degree Project Student (Apr 2021- current)
Machine learning models in surrogates
American Express, India
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Former Project associates
  1. Arvind Elangovan - July 2016- July 2017(Graduate student, Texas A & M, as of August 2017)

  2. Harshal Kaushik - Oct 2015 to Dec 2016 (Graduate student, Oklahoma State University as of December 2016)

  3. Raghavi B - March 2016 to Nov 2016 (Graduate School, University of New South Wales, as of December 2016)

  4. Santhana Barathi (Siemens India, as of May 2017)

  5. Sivasankar Arul (Masters student, Erasmus program, as of March 2017)

  6. Thej Kiran (Masters at TU Delft, Jr. Design Engineer - Mapper Lithography, Netherlands as of March 2017)

  7. Former DD Project Students
    1. Ajay Kumar Tharwani: Bayesian inference for model calibration and inverse uncertainty Quantification

    2. Charan V: Ordinal Optimization based adaptive design space reduction

    3. Mahajan Sanketh: Identifying nonlinearity of design space using Self Organising Maps

    4. Vaibhav Baheti: Ordinal Optimization based design space decomposition for tail predictions

    5. Mitul Shah: Automatically clustered design space decomposition for tail predictions in reliability assessment

    6. Raghav Simhan: Investigation of decision trees for design space decomposition

    7. 2017
    8. Akhil Sai Matha: Conditional Probabilistic Sufficiency Factor based reliability analysis

    9. Mohammed Thanzeel: Recursive Convex hull based design space decomposition

    10. Naga Sowjanya: Device to measure pressure on suture during surgeries

    11. 2016
    12. Sachin Sunny: Importance sampling based techniques for failure probability estimation

    13. Harshad Dahake: Data-driven approach to anomaly detection in manufacturing processes

    14. Piyush Jadhav (Co-guided with Prof. Sunetra Sarkar, Dept. Aero Engg): Airborne wind energy: Motion dynamics analysis of energy generating power wing

    15. Vishaal Dhamotharan: Design and development of non-invasive analgesic device

    16. Rohan Chavan: Shape Variations and Shape Error Metric in 3D Printing

    17. 2014
    18. Nithin Madasu: Estimating the Shape of a Machined Feature from Tool Position Data in Three-Axis Milling

    19. Kiran Pannerselvam: Reliability based Topology Optimization

    20. Arpit Dixit: Probabilistic Design Optimization

    21. 2013
    22. Manoj Krishna: Failure Domain based Tail Modelling using Adaptive Convell Hull Approach

    23. Kiran Kumar: Reliability Synthesis of Path Generating Linkages and Cost Optimization Using Multi-objective Genetic Algorithm

    24. Koushik Reddy: A Simplified Physics Based Lattice Model For Fracture

    25. Naramsimha J L: An Investigation of CVaR based Tail Modelling

    26. Sahil Ali: Treatment of Uncertainties using Microscale Modelling in Unidirectional Composites

    27. 2012
    28. Sailesh Kolachana: A Computational Framework for the Design and Analysis of Savonius Wind Turbine

    29. Sriram Charan: Genetic Algorithm based Optimization of Wind Turbine Blades: A Comparison of Multi-point Optimization and Probabilistic Weighted Optimization

    30. Karthik Sambamoorthy:A Response Ranking Based Efficient Sampling Scheme for Tail Modelling

    31. Imran Parvez (co-guided by Dr. Venkatesh Balasubramanian): Generation of 3D Parametric Finite Element model of Thoracolumbar Spine for Dynamic Analysis

    32. 2011
    33. Aneesh Balasubramanian (Current: Deloitte US-India, Bangalore, India): Investigation of Tail Extrapolation Models for High Reliability Estimates

    34. Vamsi Mohan Ch(Co-guided with Dr.Srikanth Vedantham) (Current: Bosch India Ltd, Bangalore, India): Integration of a High Pressure Sensor in Rail-less Direct Injection Systems of Compression Ignition Engines

    35. Dinesh Murali Krishna (Aerospace Department) : Response Surface Based Probabilistic Optimization of MacPherson Strut for Side Loads

    Summer Interns

    1. Aishwarya Mathrubootham: Development of a Virtual Simulator for Testing Sensor Response

    2. Jagdheesh Killuru: A Cost Effective Mechanical Model for Prevention of Pressure Ulcers in Sitting Position

    3. Neil Shah: A CFD Study of Magnus Effect

    4. Rishika Khandelwal : Noise Filter and Response Extraction Using Wireless Sensor Nodes

    5. Vardhan Jain : A Spring Lattice Approach for Micro Level Modelling of Materials and Prediction of SNP curves

    6. 2011
    7. Harish Ganapathy : Alpha Shape based Design Space Decomposition for Island Failure Regions

    8. Poornima Madhini and Vyabini Shankar: Development of Solar Still

    9. 2010
    10. Anand TR: L-Moments based Reliability Estimation

    11. Surya Teja and Ravi Teja: Reliability based Topology Optimization