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
Professor
Dept. Engineering Design, IIT Madras
Chennai, India
Dr. Palaniappan Ramu
Ph.D. (Jan 2025- current)
Multidisciplinary optimisation, AI and visualisation
Chamakura Sai Kumar
Project Associate(2025-current)
AI, ML, CAD
Anush Bharathi
Project Associate(2026- current)
AI for ED, Small Language models
Lokesh Dandumahanti
PAIR project intern(Jan 2026 - current)
ML, Image processing
Susmitha Muthyala
Former Members
Ph.D('19-'23). Graduated in '26
iSOM-Based Similarity Analysis for Neural Network-Aided Transfer Learning in Optimization
Current: Researcher, UK
Dr. Suja Shree Ravichandran
PAIR project intern (Jan-June 2026)
Transfer Learning
Current: Velammal group of schools
Santhini Pakirisamy
PAIR project intern (Jan-June 2026)
Data Visualisation
Praval Raghuvanshi
M.S (2023-'26)
A Comparative Evaluation of Look-and-Twist and Dwell Selection Techniques in Virtual Reality Using Fitts’ Law
Current: HCL Tech
Shaik Javed Akhter
DDP ('25-'26)
Topology-preserving Synthetic Data Generation Framework using iSOM
Current: Featurely AI
Senthilnathan T
M.S (2023-25)
Explainable outcomes from iSOM
Current: LPSC, Valiamala
Velduti Venkata Kishore
Ph.D (Aug'20-Jul'25). Formerly, Project Associate: '19-20)
Measurement of Online Advertising Effectiveness using Geo Experimental Approach
Current: Energy ETA
Dr. Vamanie Perumal
Ph.D ('16-'24)
(ID and external candidate from Ford)
Co-adv: Prof. Amit R K, DoMS, IITM
Effects of Product Design and Brand in Customer Acceptance of Products: An Automotive Practise Evaluation
Dr. Pradeep P K
M.S ('21-'24)
Anomaly Detection in Retail-Time Series Data
Current: Data Scientist, Air India
Pranjul Dubey
Ph.D ('14-'23)(External candidate)
Co-adv: Prof. Sudhir Chella Rajan, Humanities, IITM
Data-Driven analysis of Farmer Producer Company networks in Tamil Nadu’s ecosystem
Current: Policy Researcher, IITM
Dr. Aishwarya Jayaraman
DDP'24
Explainable Outcomes using SOM for Engg Appl
Dr. K Gopinath & Padmini Gopinath Prize & Rajesh Rajamani Excellence Award
Current: Ola Electric
Rishwanth Myanapuri
Senior Project Officer ('16-'23)
Applied statistics and internet marketing analytics
Current: Principal Data Scientist, Measured Inc
Kiran Pannerselvam
Project Officer ('22-'23): Applied statistics and internet marketing analytics
Current: Assistant Professor, NIT Puducherry
Dr. Naveen Raj
M.S (Aug 2020- Aug 2023)
iSOM Aided Design Space Exploration and Optimization of Mixed Categorical and Continuous Variable Problems
Current: Eaton, Pune
Shridhar Shirish Kulkarni
M.S(Aug 2020 - July 2023)
Data driven integrated design space exploration using iSOM
Current: Morgan Stanley, Mumbai
Rashmi Rama Sushil
M.S (Jan 2020 - May 2023): Non-probabilistic Uncertainty Quantification for Non-linear Limit States Using Chebyshev Inequality and Convex Hull
Current: Entrepreuner
Dibyalochana Sahoo
Project Officer (Feb 2022-'23)
Applied statistics, data science and time series for internet marketing
Pallavi Padav
Ph.D. (July 2015 - May 2021), Graduated 2023
An L-moment framework based uncertainty treatment for scarce samples including extremes
Current: Caterpillar, Chennai
Dr. Deepan Jayaraman
M.S (July 2018 - Dec 22)
Active Subspaces in Uncertainty Quantification
Current: Data Analyst, FedEx
Akash Bhagwan Kumbhar
Project Associate (Sep 2021- Aug 2022)
Image processing for anomaly detection
Arun Ganesh
Project Associate: Time series analysis and transformers
Current: M.S, KU Leuven, Belgium
Rahul Kunte
Project Associate: Data science and image processing
Current: M.S, Northeastern University, Boston
Akhil Kumar Reddy Nukala
Project Associate: Internet marketing data analytics
Current: Accenture
Raghuvaran
M.S (July 2017- August 2020)
Interpretable Self Organizing Maps for Design Space Exploration and Optimization
Current: Senior Data Scientist at AI CoE, Fidelity Investments
Sidhant Pravinkumar Thole
FORMER DD PROJECT STUDENTS
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Ajay Kumar Tharwani: Bayesian inference for model calibration and inverse uncertainty Quantification
Charan V: Ordinal Optimization based adaptive design space reduction
Mahajan Sanketh: Identifying nonlinearity of design space using Self Organising Maps
Vaibhav Baheti: Ordinal Optimization based design space decomposition for tail predictions
Mitul Shah: Automatically clustered design space decomposition for tail predictions in reliability assessment
Raghav Simhan: Investigation of decision trees for design space decomposition
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Akhil Sai Matha: Conditional Probabilistic Sufficiency Factor based reliability analysis
Mohammed Thanzeel: Recursive Convex hull based design space decomposition
Naga Sowjanya: Device to measure pressure on suture during surgeries
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Sachin Sunny: Importance sampling based techniques for failure probability estimation
Harshad Dahake: Data-driven approach to anomaly detection in manufacturing processes
Piyush Jadhav (Co-advd with Prof. Sunetra Sarkar, Dept. Aero Engg): Airborne wind energy: Motion dynamics analysis of energy generating power wing
Vishaal Dhamotharan: Design and development of non-invasive analgesic device
Rohan Chavan: Shape Variations and Shape Error Metric in 3D Printing
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Nithin Madasu: Estimating the Shape of a Machined Feature from Tool Position Data in Three-Axis Milling
Kiran Pannerselvam: Reliability based Topology Optimization
Arpit Dixit: Probabilistic Design Optimization
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Manoj Krishna: Failure Domain based Tail Modelling using Adaptive Convell Hull Approach
Kiran Kumar: Reliability Synthesis of Path Generating Linkages and Cost Optimization Using Multi-objective Genetic Algorithm
Koushik Reddy: A Simplified Physics Based Lattice Model For Fracture
Naramsimha J L: An Investigation of CVaR based Tail Modelling
Sahil Ali: Treatment of Uncertainties using Microscale Modelling in Unidirectional Composites
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Sailesh Kolachana: A Computational Framework for the Design and Analysis of Savonius Wind Turbine
Sriram Charan: Genetic Algorithm based Optimization of Wind Turbine Blades: A Comparison of Multi-point Optimization and Probabilistic Weighted Optimization
Karthik Sambamoorthy:A Response Ranking Based Efficient Sampling Scheme for Tail Modelling
Imran Parvez (co-advd by Dr. Venkatesh Balasubramanian): Generation of 3D Parametric Finite Element model of Thoracolumbar Spine for Dynamic Analysis
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Aneesh Balasubramanian (Current: Deloitte US-India, Bangalore, India): Investigation of Tail Extrapolation Models for High Reliability Estimates
Vamsi Mohan Ch(Co-advd 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
Dinesh Murali Krishna (Aerospace Department) : Response Surface Based Probabilistic Optimization of MacPherson Strut for Side Loads
FORMER PROJECT ASSOCIATES
- Arvind Elangovan - July 2016- July 2017(Graduate student, Texas A & M, as of August 2017)
- Harshal Kaushik - Oct 2015 to Dec 2016 (Graduate student, Oklahoma State University as of December 2016)
- Raghavi B - March 2016 to Nov 2016 (Graduate School, University of New South Wales, as of December 2016)
- Santhana Barathi (Siemens India, as of May 2017)
- Sivasankar Arul (Masters student, Erasmus program, as of March 2017)
- Thej Kiran (Masters at TU Delft, Jr. Design Engineer - Mapper Lithography, Netherlands as of March 2017)