ARCHANA GURUSAMY

***** **** ** **** ****, Apt ***, Southfield, MI-48034 Email: acv2kz@r.postjobfree.com

LinkedIn: https://www.linkedin.com/in/archana-gurusamy-a3030b80 Cell: (201) 885 - 9942

SUMMARY:

Master’s level qualified Electrical Engineer with skilled and passionate in automotive with hands-on experience for two years in automotive controls design, automotive infotainment testing and calibration of Automotive ECUs Electronics Control Unit

SAE certified Calibrated for GM inline-four cylinder Gasoline Engine, experience in SAE J1939 CAN communication, HIL testing, and embedded programming

Experience in in vehicle testing as well as manual testing using simulators and bench setup

Embedded algorithm development using MATLAB/Simulink code generation blocks and M scripts

Hands on experience with CAN tools Vehicle Spy, CANalyzer and CANKing

Good knowledge in LIN, MOST, and CAN J1939 protocols

Experience in black box testing for different modules like Bluetooth (BT), multimedia

Hardware in the loop testing (HIL) experience using LHP/DTE

Experience with designing Printed Circuit Board using Cadence OR-CAD including Schematic Capture and robotic motion control using Keil µvision with 8051 as the microcontroller.

Experience with SCADA, HMI, PLC, ARM, Robotics at Think Lab, IIT Mumbai certification Course

Self-motivated and passionate in learning new skills, with emphasis towards productivity and timeliness in project accomplishment

SKILLS:

Automotive Modeling Tools: MATLAB/Simulink, MotoTune Calibration Tool, MotoHawk model-Based Design Tool,

NI VeriStand, Kvaser CANKing, CANalyzer, NI LabVIEW

Automotive Controls Hardware: GM 2.4L Ecotec Inline-4 cylinder gasoline, Bosch DV 4 Throttle, KVASER CAN,

Woodward ECUs, LHP/DTE Hardware-in -Loop (HIL) System

Programming Languages: C, C++, Embedded C, Python, Verilog, VHDL

Embedded Platform: Arduino UNO, AVR, ARM, 8051 Microcontroller, Raspberry Pi

Communication Protocols: SPI, I2C, CAN (J1939), LIN, RS-232, USART

Development Tools: Keil µVision4, Eclipse, Visual Studio, Xilinx-ISE, Tanner EDA, OR-CAD/PCB Layout

EDUCATION:

Stevens Institute of Technology, Hoboken, NJ Aug’14-Dec‘15

Master of Engineering in Electrical and Computer Engineering, Specialization: Real Time and Embedded System

AWARD: Received “Graduate Fellowship award” from Stevens Institute of Technology

Vel Tech Dr. RR & Dr. SR Technical University, Tamil Nadu, India May’09-May’13

Bachelor of Engineering in Electronics and Communication Engineering

AWARD: Achieved “University Rank Holder” in Vel Tech Dr. RR 7 Dr.SR Technical University department second topper

PROFESSIONAL TRAINING: May‘16 - June‘16

“Fundamentals of Control Systems –Gasoline” SAE Certificate of Mastery Course

CAN Communications (J1939)

Gasoline Engine and Controls Training (Speed Governing, Controls Model, System Diagrams, Wiring, CAN)

Model Based Control Design using MATLAB, Simulink and MotoHawk

Remote Electronic Throttle Control Using CAN (J1939) and Gasoline Engine Control

Hardware-in-the-loop Testing using LHP Desktop Test Environment

Agile Scrum Methodologies Leadership, Teamwork, Business Etiquette, Stress and Conflict Management, Communication

WORK EXPERIENCE:

Controls Engineer Trainee May‘16 – June’16

LHPU-LHP Engineering Solutions,Michigan, USA

Michigan, USA

Obtained an intensive hands-on training to become an SAE certified embedded controls engineer by implementing a stabilized speed control strategy on a gasoline engine and successfully made the engine run in all specified speed modes

Developed Model based control strategy for 2.4L GM Ecotec Gasoline engine and Auto code generation in Simulink

Assembled ECU model, CAN bus with wire harness (wiring) and Soldering.

Modeled a PID controller for Bosch throttle valve using Simulink and implemented a feedback control system using CAN communication between ECU’s and messages are monitored using CANalyzer

Designed distributed control system of electronic throttle, fuel injection and Participated in all stages of Software Test Life Cycle

RESEARCH ASSISTANT-Robotic Platform (Electrical/Electronics Engineer) May’15 – Aug’15

Aviation Surveillance System, Stevens Institute of Technology

Designed an Unmanned Aerial Vehicle using raspberry pi with fail-safe mechanism and interfaced GPS, camera and gyro on a raspberry pi microcontroller

Assembled the kit by Soldering. Including Autopilot development, and computer vision.

Designed a prototype that will help in location tracking and surveillance of a particular property

A Sainik Robot with Upgraded Technologies Dec’13-May‘14

Ministry of Defense, DRDO, Navigation and Embedded system lab, Research Centre Imarat, INDIA

Designed an unmanned vehicle controlled by an RF remote from the control room for rescue purpose

Detected a human through IR/PIR sensor and smoke sensor for fire alarm

Used 2x16 LCD to display signal from the sensor and transmitter

Programmed these application on 8--bit Microcontroller and displayed output visually on PC through camera

Designed PCB Board using OR-CAD and developed C program on 8-bit Microcontroller keyboard to make a robot move and track through GPS

Domain: ORCAD-PCB layout, Keil µvisions.

PROJECTS:

Design of Maximum and Minimum speed Governor for Gasoline Engine Control May’16 – June’16

Designed and developed a control model using Simulink and MotoHawk to control a GM 2.4L Ecotec Inline-4 cylinder Gasoline as a part of SAE certificate of mastery course

Controlled fuel pump by sending CAN messages of Fuel per Cylinder, Start of Ignition, CAM timing, Sync Pulse Offset and RPM over CAN communication bus (J1939) from ECU

Developed in Simulink minimum and maximum governor model for controlling engine speed

Simulated controller model on Hardware in Loop (HIL) using DTE with VeriStand

Calibrated and tuned the engine using MotoTune tool

Domain: Wiring,MotoHawk, MotoTune, MATLAB, Simulink, Woodward ECU, Kvaser CAN, J1939 CAN protocol, CANalyzer

Modelled and Communicated the Spark Timing to ECM June’16

Modelled the spark timing characteristics for the engine

Designed the start angle and stop angle for the spark with respect to engine speed

Established a communication for transmitting spark timing and engine speed to the ECM via CAN message

Used SAE J1939 protocol for communication

Feedback PID Electronic Throttle Controller with Fuel injector May’16

Developed distributed control system to communicate between the sensors and controllers using J1939 CAN message.

Modeled PID controller for throttle valve and potentiometer using Simulink

Feedback PI electronic throttle controller using MATLAB Simulink and MotoHawk

Calibrated P and I gain, offset and scaling of the closed loop feedback system using MotoTune

ETC remotely using CAN bus communication

Domain: MotoHawk, Wiring, MotoTune, CANKing, Kvaser CAN, MATLAB, Simulink, J1939 CAN protocol, CANalyzer

Electronic Throttle Position Controller using Linear Potentiometer May’16

Designed Feedback control system using Simulink for electronic throttle controller and potentiometer using CAN communication between ECUs

Calibrated electronic throttle position and pedal position using MotoTune

Tested and validated controller while varying the pedal position using MotoHawk

Onboard Diagnostics: Model-based Fault Detection of Misfire in Spark Ignition (SI) Engine April’15

Performed analytical modelling of SI engine to detect misfire instances using MATLAB and Simulink

Introduced fault at the crank angle as misfire affected the speed and maintained constant communication and feedback with control unit

Verified the effectiveness of the fault detection algorithms via simulation

Particle Filter Path Simulator Aug’15-Dec’15

This project entails developing a SLAM Algorithm using a Robot Simulator.

SLAM (Simultaneous Localization and Mapping) is a method commonly used in robotics to construct and update a map of an autonomous device’s environment while also tracking its own location within the environment.

The simulation will be accomplished in Webots 3D Robot Simulator as well as MATLAB.

The algorithm will be applied to five multi-sensor datasets that exist for the indoor Bicocca Library floor plan, and the results of the SLAM algorithm are to be compared to the actual library map.

Controlling Traffic April’15-May’15

Detected car waiting at the red-light using Vehicle sensor, the lights will change and allow the traffic to flow in opposite direction. Installed three-color traffic lights at each single-lane bridge

Designed a project on controlling traffic using Arduino to build a model of the bridge with working traffic lights using LEDs

Lights allowing a traffic to follow only in one direction at a time

Pseudorandom Sequential Generator: VLSI design Feb’15-March’15

Designed parallel output generator using Tanner EDA.

Designed AND, OR, X-OR D- flip-flop and Shift register a using L-edit

Simulated waveform using T-Spice

Visualization of YouTube data Jan’15-March’15

Using python provided YouTube uploader solution for duration, length, categories of the videos to obtain number of views with visual data

Collected open source data, Filtering and cleaning of data

CERTIFICATION:

REAL TIME EMBEDDED SYSTEMS Sep’12

IMPERIUM ROBOTICS, Think Lab IIT Bombay, India

Programmed using Embedded C for detecting edge and black line by the robot

Programmed 8-bit AVR ATMega128-based development board in Keil µvision

Constructed manual robots, hard-wired and autonomous robots, and machine vision, Designed edge-detecting robot and a line-following robot using AVR development board

ARCHANA GURUSAMY

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