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Team


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

Full Time



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

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

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

Mohan Raj     Degree: PhD (Jan 2022- current)
Solving Multidisciplinary Optimisation (MDO) problems visually
Linkedin Profile

Velduti Venkata Kishore     Degree:M.S (Jan 2023- current)
Explainable outcomes from iSOM
Linkedin Profile

G. Raghul Chandran     Degree: M.S (Aug 2023- current)
Time series analysis
Linkedin Profile

Shaik Javed Akhter     Degree: M.S (Aug 2023- current)
Visual analytics using AR/VR
Linkedin Profile

Part Time / Registration Kept Alive    

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

Suja Shree     Degree: Ph.D (January 2019- Feb 2023. Employed at Siemens and finishing Thesis)
Transfer learning and optimization algorithms
Website

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

Aishwarya     Degree: Ph.D (July 2014 - July 2024)

Data-driven analysis of Farmer Producer Company networks in Tamil Nadu's ecosystem
Linkedin Profile

Deepan Jayaraman     Degree: Ph.D. (Scholar work: July 2015 - May 2021. Graduated in 2023)
An L-moment framework based uncertainty treatment for scarce samples including extremes
Website

Pradeep P K     Degree: Ph.D (July 2016- July 2024)
co-guide: Prof. Amit R K, Dept of Management studies, IIT Madras

Effects of Product Design and Brand in Customer Acceptance of Products: An Automotive Practice Evaluation

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
Website

Sivakumar A     Degree: M.S (July 2018- 2022)
Sustainability based design optimisation
Nissan Renault, Chennai
Linkedin Profile

Akash Bhagwan Kumbhar     Degree: M.S (July 2018- 2022)
Active Subspaces in Uncertainty Quantification
Pristine Infotech
Website

Sukanta Kumar Tulo     Degree: Ph.D (Aug 2018- May 2023. Interdisciplinary program. Primary Guide: Prof. Ramakrishnan, Applied Mechanics, IIT Madras)
Analysis of Mediastinum structural changes for the differentiation of abnormalities using radiographic images

Deepak Nagar     Degree: M.S (Aug 2019- May 2021 | Graduated in May 2023)
Visualization and Analysis of Design space Using Interpretable Self-Organizing Map (iSOM)
Website

Dibyalochana Sahoo     Degree: M.S (Jan 2020- May 2023)
Non-probabilistic Uncertainty Quantification for Non-linear Limit States Using Chebyshev Inequality and Convex Hull
Website

Naman     Degree: M.S (Jan 2020- May 2023)
L-moments and Chebyshev inequality driven convex model for uncertainty quantification
Website

Rashmi Rama Sushil     Degree: M.S (Aug 2020- May 2023)
Self Organizing Maps for output assessment as a function of DoE
Linkedin Profile

Shridhar Shirish Kulkarni     Degree: M.S (Aug 2020- Aug 2023)
Warranty data analysis
Linkedin Profile
Website

Mahesh Shankar     Degree: M.S (Aug 2020- July 2024)
A Novel Niched Evolutionary Algorithm Using Directed Batch Growing Self-Organizing Map for Multimodal Optimization
Linkedin Profile

Kannan Sekar     Degree: MS(Aug 2021- July 2024. Formerly, Project Associate 2018-2021)
Preform die design and optimization for isothermal forging of axisymmetric parts
co-guide. Primary Guide: Prof. G. Saravana Kumar, Dept of Engineering Design, IIT Madras
Linkedin Profile

Pranjul Dubey     Degree: M.S (Aug 2021- July 2024)
Anomaly Detection in Retail-Time Series Data
Linkedin Profile

Akhil Kumar Reddy Nukala   Project Associate (May 2021- June 2022)
Data science and image processing
M.S, Northeastern University, Boston

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

Naveen Raj, Ph.D   Project officer (May 2021- July 2022)
Applied statistics and internet marketing analytics
Assistant Professor, NIT Puducherry
Linkedin Profile

Kiran Pannerselvam     Senior Project Officer (July 2016- Aug 2023)
Applied statistics, data science and time series for internet marketing
Senior Data Scientist, Measured Inc
Linkedin Profile

Rahul Kunte     Project Associate (Sep 2021- June 2022)
Time series analysis and transformers
MS, KU Leuven
Linkedin Profile

Arun Ganesh     Project Associate (Sep 2021- June 2022)
Image processing for anomaly detection
Linkedin Profile

Dhanush Aadithya   Dual Degree Project Student (Apr 2021- May 2022)
Machine learning models in surrogates
American Express, India
Linkedin Profile



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
      2018
    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
    7. Akhil Sai Matha: Conditional Probabilistic Sufficiency Factor based reliability analysis

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

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

      10. 2016
    10. Sachin Sunny: Importance sampling based techniques for failure probability estimation

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

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

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

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

      15. 2014
    15. Nithin Madasu: Estimating the Shape of a Machined Feature from Tool Position Data in Three-Axis Milling

    16. Kiran Pannerselvam: Reliability based Topology Optimization

    17. Arpit Dixit: Probabilistic Design Optimization

      18. 2013
    18. Manoj Krishna: Failure Domain based Tail Modelling using Adaptive Convell Hull Approach

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

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

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

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

      23. 2012
    23. Sailesh Kolachana: A Computational Framework for the Design and Analysis of Savonius Wind Turbine

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

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

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

      27. 2011
    27. Aneesh Balasubramanian (Current: Deloitte US-India, Bangalore, India): Investigation of Tail Extrapolation Models for High Reliability Estimates

    28. 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

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

    Summer Interns

      2012
    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
    6. Harish Ganapathy : Alpha Shape based Design Space Decomposition for Island Failure Regions

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

      8. 2010
    8. Anand TR: L-Moments based Reliability Estimation

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