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Doctoral University Assistant

Interactive and Intelligent Systems, Universität Innsbruck

ELLIS Doctoral Student Co-Supervised by Prof. Dr. Justus Piater (Universität Innsbruck) and Prof. Dr. Matthias Bethge (Universität Tübingen)

Pre Doctoral Fellow

Interactive and Intelligent Systems, Universität Innsbruck

Software Developer, Surgical Robotics

Meril R&D

Werkstudent

Gestalt Robotics

Student Research Assistant

Robotics and Biology Lab, Technische Universität Berlin

Developed the control hardware for soft robotic hands using proportional valves and flow sensors using ROS as middleware. (Funded by Science of Intelligence excellence cluster)

Research Assistant

PSG College of Technology

Developed an experimental apparatus for evaluating the performance of a Solar Assisted Liquid Desiccant based air-conditioning system.

Mitacs Globalink Research Intern

Robotics and Manufacturing Automation Lab, McMaster University

- Selected to be part of the 2019 Cohort of the MITACS Globalink Research Internship Program in Canada. - Worked in the Robotics and Manufacturing Automation Lab under the guidance of Dr. Gary Bone. - Modified a custom written open-source numerical solver in MATLAB and C++ for simulating the hyperelastic behaviour of soft robotic actuators.

Research Intern

National University of Singapore

Interfaced a battery-less NFC based transponder platform to get data from analog sensors developed at the Singapore Institute of Neurotechnology (SINAPSE) through an Android app.

Summer Research Fellow

Indian Institute of Technology, Madras

Was one of 20 Summer Fellowship students selected from across the country. – Developed an algorithm for automated registration of design surfaces (in NURBS surface for- mat) and the manufactured surfaces (reconstructed from 3D LASER scanned point clouds) for inspection of free form surfaces.

In plant Trainee

Nuclear Power Corporation of India Limited

- Underwent an In plant training at Kudankulam Nuclear Power Plant operated by NPCIL. - Studied the main turbine and its auxiliary systems design and operation. (the largest turbine system in India by capacity.) - Studied the steam cycle of the power plant which is a complex combination of multiple reheat and regenerative processes

Summer Research Intern

Surgical Technologies Lab, University of Leeds

Developed a finite element model in ABAQUS to simulate the hyperelastic behaviour of a soft tactile sensor body and compared the different hyperelastic models.

Doctor of Philosophy - PhD

Universität Innsbruck

Computer Science

Master of Science - MS

Technische Universität Berlin

Computational Neuroscience

• Mathematical Modelling course
• Robotics
• Machine Intelligence

Master of Science - MS

Humboldt University of Berlin

Computational Neuroscience

• Models of Neural Systems
• Cognitive Neuroscience
• Acquisition and Analysis of Neural Data
• Models of Higher Brain Functions

Bachelor of Engineering - BE

PSG College of Technology

Mechanical Engineering

Deutschlandstipendium (German National Scholarship)

BMBF, Deutschland

Mitacs Globalink Research Internship Funding

Mitacs

Soft Tactile sensors with Variable Compliance

IEEE Sensors

It is a conference paper published at IEEE Sensors 2017. It describes our work in the development of a variable compliance soft tactile sensor for applications in Soft Robots. My contribution was developing a finite element model for the hyperelastic Sillicone body of the sensor.

Software Development for simulation of soft actuators in MATLAB

Modelling and Analyis of Liquid Desiccant cooling system and compare its performance with the solid desiccant cooling system

Finite Element modelling of shape memory effect based soft actuator.

Interfacing of NFC Based Transponder for Lab On Chip Application

Development of an algorithm using computational geometric techniques for automated free form surface inspection

The objective of my project was to develop an algorithm for automated inspection of free form surfaces. Computational geometrical techniques were used to develop the algorithm which mainly focused on improving the runtime and accuracy of registration over existing algorithm like ICP. The results showed a great improvement in accuracy and runtime and both the parameters were independent of the initial relative alignments of the CAD surface and scanned 3D pointset which is a major advantage of my proposed method over the most commonly used ICP which had a problem of convergence to a local minima when there was a large misalignment between the pointsets. This makes my proposed method more suitable for enabling automation in the free form surface inspection using laser scanning. The code of the algorithm was created in MATLAB.

Predictive cooling for Smart Refrigeration

This project was done as an entry for the Danfoss Innovator Project Award. A proof of concept of the Smart Refrigeration system was submitted using a Simulink model in MATLAB. The objective was to predict the cooling load, defrosting time and usage pattern using the historical Temperature, Humidity, Logistics,Condensate and Inventory data and control the refrigeration system based on the prediction. The methodology was to use Machine learning techniques for predictive cooling and control the speed of a Variable Frequency Drive so as to control the compressor's output mass flow rate of the refrigerant.

Finite Element Modelling of a Variable compliance soft tactile sensor

Aim was to mechanically characterize the silicone body of a soft tactile sensor through finite element modelling and find the best hyperelastic model to fit the non linear stress strain characteristics of silicone rubber. The project resulted in identification of two Mathematical models which were more compliant with the experimental results. The Finite element modelling was done in ABAQUS CAE