Overview
Work History
Education
Skills
Accomplishments
Positions Of Responsibility
Research Experience
Course Projects
Relevant Courses
Extra Curricular Activities
Timeline
Generic
Raghul Shreeram Sivakumaran

Raghul Shreeram Sivakumaran

San Diego,CA

Overview

2
2
years of professional experience

Work History

Teaching Assistant - Analog and Digital Electronics
08.2022 - Current
  • Managing resources and supervising groups of students to help them do different analog and digital experiments in the lab
  • Took responsibility in correcting a group of 76 students of all assignments, mid-semester and end-semester exam

Team Autopilot - Research & Development

Siemens Technology and Services Pvt. Ltd. - Research in Digitalization and Automation
12.2021 - 05.2022
  • Used Pybullet software to simulate multiple vehicles colliding to extract the values of Energy Dissipated after Collision
  • Modeled for two different types of collision - Cascading Collision and Direct Collision
  • Developed a pipeline of mass, angle, velocities of multiple vehicles colliding to get end-to-end simulation plus results out
  • Extracted over 150 variant collision data for Cascading collision and 200 more data for Direct collision and fit a neural network to predict the dissipation energy released for all the vehicles.
  • Map the crash severity to the predicted energy dissipation from the model.

Education

Master of Science - Mechanical Engineering

University of California - San Diego
La Jolla, CA
07.2025

Bannari Amman Public School
01.2016

M.Tech Automotive Engineering -

Suguna PIP School
01.2018

Skills

  • Modeling: Autodesk Fusion 360, Autodesk Inventor, AutoCAD
  • Simulation: Pybullet, MATLAB, MATLAB - Simulink and Simscape, Abaqus, Ansys

Accomplishments

  • Secured an all India rank 8526 in the IIT-JEE Advanced 2018 from over 175 thousand candidates
  • Secured an all India rank in top 1 percentile in the IIT-JEE Main 2018 from over 1.4 million applicants

Positions Of Responsibility

Mentor - Avanti fellows, 05/19, Mentored 30 underprivileged children in Jawahar Navodaya Vidyalaya, Pondicherry. Taught Physics, Chemistry, and Mathematics and supported the students in academics by solving their subject-related queries Conducted Specialized revisions, Q&A, and Deep Dive Discussions for Class XII Motivating and mentoring students of class XI and XII

Research Experience

  • Machine Learning for Vehicle Predictive Maintenance
  • Dr. C S Shankar Ram, Engineering Design, IIT Madras, 08/22, Present, Investigate how Temperature affects the air brake systems and implementing Neural Networks to predict the pushrod stroke using the wheel speed sensor and temperature data available Developing a fault diagnostic scheme of detecting the fault and isolating using machine learning classifiers with the help of Temperature data available
  • Ongoing

Course Projects

  • ML Algorithms - Pattern Recognition and Machine learning, Dr. C Chandra Sekar, Computer Science, IIT Madras, 02/21, 05/21, Implemented Linear model for regression with 1-Dimensional, 2-Dimensional, and real-world multivariate data using Polynomial basis functions and Gaussian basis function Classifiers that were built are KNN, Naïve Bayes, Bayes with Gaussian Multi-Model(GMM), Perceptron, Multilayer Feedforward Neural Network with one and two hidden layers, Nonlinear and Gaussian Kernel-based SVM Got test accuracies for Bayes classifier with GMM using Full covariance matrices, Diagonal matrices and MLFFNN with two hidden layers for real-world data is 55.62%, 54.4%, and 59.57% respectively.
  • Battery Life Prediction - Energy Storage Devices, Dr. Jayaganthan R, Engineering Design, IIT Madras, 08/22, 11/22, Predicted the lifetime of lithium-ion batteries from a number of cycles used, temperature and voltage data recorded during experiments using Neural Networks Results - R2 score: 0.95 and Root mean Squared error: 0.0423 Predicted remaining number of cycles of Li-ion Batteries using a threshold value with the help of capacity of the battery predicted.
  • Reinforcement Learning Algorithms, Dr. Prashanth L A, Engineering Design, IIT Madras, 08/21, 11/21, Solved Gridworld and Taxi problem by implementing policy and value iteration algorithm to find the optimal policy. Solved Acrobot-v1, Taxi-v3, and Quizbot using the Q-learning algorithm.
  • Control of Automotive Systems, Dr. Srikanthan Sridharan, Engineering Design, IIT Madras, 08/21, 11/21, Project Brake Control - Modeled a Brake System in Simulink and designed a P and PI controller using sisotool/control system designer, to meet the given performance specifications. Heading Angle Control - Designed Proportional (P) and Proportional-Integral (PI) controllers to achieve closed-loop stability and performance and to limit the controller output to 30 degrees Hydraulic Hitch Control In Tractors - Modeled an electro-hydraulic system using experimental data. Defined a skiing surface and applied constant rate reaching law to design a sliding mode controller to limit the output not exceeding 3.3A
  • Half Car Model - Vehicle Dynamics, Dr. R Krishna Kumar, Engineering Design, IIT Madras, 02/21, 05/21, Devloped a Half Car in Simulink and Simscape Designed and Implemented ABS for the half car by creating a PID controller to maintain the Kappa value Simulated Step steer response for the half car and compared the results with the LTI state-space model
  • Simulation of Three phase full bridge inverter, Dr. Srikanthan Sridharan, Engineering Design, IIT Madras, 02/21, 05/21, Simulated three-phase inverter for 180 and 120-degree conduction mode and calculated phase and line voltages Checked with RL loads and compared with results with the only R as load in both conduction mode

Relevant Courses

  • Fundamentals of Automotive Systems
  • Introduction to Field and Service Robotics
  • Pattern Recognition and Machine Learning
  • Control of Automotive Systems
  • Mechatronics Systems Design
  • Reinforcement Learning
  • Vehicle Dynamics
  • Energy Storage Device and Systems
  • Artificial Intelligence in Manufacturing
  • Automotive Power Electronics and Drives
  • Computational Methods in Design
  • Probability, Statistics and Stochastic Process
  • Control Systems
  • Design of Mechanical Systems I and II
  • Digital Signal Processing
  • Structural and Component Design of Vehicles
  • Design of Thermal and Fluid Systems
  • Analog and Digital Electronics

Extra Curricular Activities

  • Player of the Hockey Team in Inter-Hostel Hockey tournament (Schroeter – 2020)
  • Participated in Inter-Department Volleyball League and finished 4th in the event out of 12 teams (2019)
  • Participated in Inter-department Cricket League (2019)

Timeline

Teaching Assistant - Analog and Digital Electronics
08.2022 - Current

Team Autopilot - Research & Development

Siemens Technology and Services Pvt. Ltd. - Research in Digitalization and Automation
12.2021 - 05.2022

Master of Science - Mechanical Engineering

University of California - San Diego

Bannari Amman Public School

M.Tech Automotive Engineering -

Suguna PIP School
Raghul Shreeram Sivakumaran