Mechanical Engineer Engineering

SAMPAD KUMAR PANDA

*** *,**** ******, ***-**, Indianapolis, IN,46202 ********@*****.**.*** 386-***-****

SUMMARY

Mechanical engineer interested in the field of automobiles with experience in powertrain validation and testing. I am available for hiring under OPT from Feb 1,2018.

EDUCATION

M.S. in Mechanical Engineering, Purdue School of Engineering and Technology, Indianapolis (3.7/4.0) December 2017

B. Tech in Mechanical Engineering, Veer Surendra Sai University of Technology, India (8.7/10) May 2012

TECHNICAL SKILLS

Programming and Control Platforms: C, MATLAB, Simulink, Mission Planner

Basic Programming Level: C++, Python 2.7, LabVIEW, Open CV

Test Tools: Samtec, Insite, INCA, CANalyzer, CANoe, CANape

RELEVANT COURSES

Automotive Controls

Vehicle Dynamics

Vehicle Vibration

Data Mining(Audit)

Lumped System(Audit)

Energy Storage Devices

WORK EXPERIENCE

Vehicle Diagnostics/Test Engineer, Tata Motors Limited, India April 2013 – October 2015

Developed test procedures, methods and tools for test, verification and diagnosis of vehicle defects. (DFMEA)

Performed verification and validation for newly introduced components during vehicle integration.

Calibrated fuel injection timing, EGR emission rate, mass air flow sensor using CANalyser/CANoe.

Performed functional and system testing for sensors on the ECU to find compensation errors.

Used Data Acquisition Tools like VN1630 to acquire test data from Vehicle ECU/sensors.

Performed vehicle test trials in hot, cold, sea and altitude test trips.

Conducted engine rig tests on dynamometer and used the obtained data in the VAM (vehicle acceleration module) calibration.

Maintained test documentations and procedures to find root cause for future defects.

Developed a testing algorithm to choose optimum SFC points in a torque –RPM- velocity map.

Summer Intern, Weed Detection Competition, Agbot Expo May 2017-July 2017

Implemented image processing and robust control logic to a bot for spraying herbicides to weed.

Graduate Teaching Assistant, Automotive Control Systems January 2017 – May 2017

Designed Simulink models for vehicle safety features like adaptive cruise control and adaptive lane keeping.

Implemented fuzzy logic to calculate residuals in a plant model for throttle position sensor.

Designed OBD misfire detection, yaw stability control and sensor fault detection systems using SIMULINK.

Developed MIL testing strategy using PID and state space equations for different sensors.

Research Assistant, Automotive Controls(ADAS) September 2016 – Present

Integrated LIDAR data map in 3D with camera data in 2D plane by using sensor fusion and data mining algorithms.

Object detection was carried out by using HAAR cascade classifier algorithm to train and detect using MATLAB.

COURSE PROJECTS

Validation and design of algorithm for mapping LIDAR cloud data with camera plane data for ADAS August 2017

Density Clustering and Sample Consensus algorithms were used to get efficiency of data fusion for self- driving car.

Processed images using MATLAB and detected using OPEN_CV.

Validated vehicle dynamic parameters under different road profiles January 2016 Calculation of vehicle torque, RPM, vehicle resistance forces for quarter car model by Multibody Dynamics Software.

Design and optimal control of auto manual transmission to reduce jerk using SIMULINK January 2016

Controlled the unnecessary fluctuations of the clutch phases building a plant using SIMULINK.

Designed the clutch actuation model with sufficient damping offered by PID/state space gains using dyno data of engine.

TECHNICAL PAPER

Object Detection from a Vehicle Using Deep Learning Network and Future Integration with Multi-Sensor Fusion Algorithm.

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