CRIS THOMAS

To be a professional having opportunities to learn continuously, secure a challenging position, and develop the skills in order to contribute to the organization and industry as a whole.

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JOB PROFILE

2022 to 2023


2020 to Present


2020 to Present


2019 to 2020


2016 to Present


 2014 to 2016

EDUCATIONAL QUALIFICATIONS

Awarded on April 2022 | CGPA 10.0

2018 to 2021


95.5% with Univ Rank 1 | CGPA 9.55 

2016 to 2018


70.84% | CGPA 7.44

2010 to 2014


90.8% with A1 in all Subjects

Class of 2010


88.0%

Class of 2008 

TECHNICAL SKILLS

CURRENT PROFILE

Worked as an Embedded & Machine Learning Engineer at a leading Drone Solutions Company in Turin, Italy

ACTIVE RESEARCH TOPICS

Object detection, Embedded Machine Learning, Embedded Hardware Acceleration

RESEARCH INTERESTS

Robotics, Unmanned Systems, Embedded Systems, AI/ML, Aerospace, IoT

RESEARCH PUBLICATIONS

 Journals:

 Conferences:


INTERNSHIPS


Institution: Indian Institute of Science, Bangalore

Internship Type: Summer Internship, Jun 2017 to July 2017

Summary: Design and development an algorithm for controlling drones using voice commands. The algorithm is developed in Python and Android platforms.

Technologies Dealt: Python, ROS, Pocket Sphinx, Android, Node.js, A.R. Drone

 

Institution: University of Petroleum and Energy Studies, Dehradun

Internship Type: Summer Internship, Jun 2018

Funding: Indo US Science and Technology Forum 2017-18, Project ID: - IIGPU400385

Summary: Design and development of a multi-rotor system to be launched from underwater platforms such as submarines to carry out various missions.

Technologies Dealt: Python, C++, ROS, MATLAB, FlytOS, OpenCV, PX4, Git


Institution: Navstik Labs, Pune

Internship Type: Summer Internship, Aug 2018

Summary: Development of obstacle avoidance system in all major directions for micro unmanned aerial vehicles.

Technologies Dealt: Python, FlytOS, ROS, DJI Guidance System, DJI Matrice 100, Raspberry Pi, Nvidia Jetson TX1


Institution: Breathedigital B.V., Rotterdam, Netherlands

Internship Type: Technical Research Intern / Consultant, Apr 2019 to Present

Summary: Design and development of a multi-rotor system, control station and cloud interfaces for delivering food via air.

Technologies Used: Python, C++, MAVSDK, MAVLink, OpenCV, PX4, Git, QGC

ACADEMIC PROJECTS

This project focused on developing a simple system that allows efficient management of airline reservation data. The passengers can login and access the available data to reserve new tickets, view available tickets, manage an existing ticket and check airline summary.

Technologies Dealt: C, C++

 

The project is based on a multi-purpose expandable robot car which can be controlled anywhere in the world with the help of a mobile handset. In our project, it provides the advantage of robust control & working range as large as the area of the service provider. This is developed in a view to use for assistance in search and rescue operations.

Technologies Dealt: Embedded C, C++

 

This project is based on controlling a robot and a targeting system mounted on it. Both the robot and targeting system are controlled through the gestures of the user detected through the wearable electronics module fitted on hand and forehead. This is developed as a tool for military, enabling a better combat ability and for minimising possible human errors.

Technologies Dealt: Embedded C, C++, Arduino

 

The project is based on the development and implementation of an industrial drone, which can be used to assess and evaluate an industrial hazard or accident. This helps in reducing the time taken for the response and can minimize casualties and collateral damage.

Funding: University Funding under UPES RISE 2017, Project ID: R201739

Technologies Dealt: Embedded C, C++, Arduino

 

This project dealt with the design, hardware and software implementation of an autonomous multi-rotor to carry out pre-programmed and dynamic missions. Missions particularly involve surveillance, reconnaissance and payload delivery from various underwater platforms such as submarines.

Funding: Indo US Science and Technology Forum 2017-18, Project ID: - IIGPU400385

Technologies Dealt: Python, C++, ROS, Matlab, OpenCV, Raspberry Pi, SONAR, Stereo camera

NON-ACADEMIC PROJECTS

Type: IEEE International Sensors and Measurement Systems Student Contest 2018 participant.

Summary: Design and development of a self-leveling platform designed to launch, recover and re-launch VTOL UAVs without the need for human intervention, mounted on a mobile unit.

Technologies Dealt: Catia, SensorTile Kit, Mechanical Platform, Linear Actuators, Android


Type: Collaborative Project.

Summary: Design and Development of an autonomous ground vehicle that can be deployed on emergency scenarios to gather vital intelligence to plan and strategize response operations in an efficient manner.

Technologies Dealt: Python, ROS, OpenCV, Vision Processing, Obstacle avoidance


Type: Hackster | ARM Autonomous Robot Challenge 2018 Contest International Participant.

Summary: A system of intelligent and connected autonomous vehicles to support in emergency scenarios and provide immediate response to the situation.

Technologies Dealt: Python, ROS, OpenCV, Android, Git, Pixhawk, Raspberry Pi, Vision Processing, Obstacle avoidance

Awards: Greatest Social Impact Prize (Link 1, Link 2)


Type: Hackster | NXP Rapid IOT Revolutionize Your IoT Prototyping Contest International Participant.

Summary: The solution employs a smart helmet to provide the rider with all necessary information regarding his ride along with the tracking information via cloud.

Awards: Smart Security/Identification Prize (Link)


Type: Hackster | 2019 China-US Young Maker Competition International Participant.

Summary: A smart system that monitors and suppresses any event of fire or damage in electric vehicle batteries.

Awards: Most Practical - US Based Project Prize (Link)


Type: Hackster | Sigfox Universities Challenge 2019 Competition International Participant.

Summary: Automated usage statistics and surveys using the Sigfox network.

Awards: Hackster Impact Prize (Link)


Type: Hackster | HoverGames Challenge 1: Fight Fire with Flyers Competition International Participant.

Summary: Assist in devising solutions to control the fire damage with minimum casualty.

Awards: Bonus Prize (Link)


Type: Hackster | Machine Learning in the Real World Competition International Participant.

Summary: Monitoring and Control of industrial spaces.

Awards: Business - 3rd Place Prize (Link)


Type: Hackster | Transform Your Thinking with ON Semiconductor Competition International Participant.

Summary: An RSL10-SENSE based smart module for Healthcare and Asset Monitoring.

Awards: Runner Up (Link)


Type: Hackster | 2019 China-US Young Maker Competition International Participant.

Summary: A simple and effective smart band wearable device to monitor and track the occurrence of hot flashes.

Awards: Most Creative - US Based Project Prize (Link)


Type: Hackster | 2020 NXP HoverGames Challenge 2: Help Drones, Help Others During Pandemics Competition International Participant.

Summary: A high-level framework that incorporates the NXP FMU, NavQ, coral camera, and various Drone APIs into a common framework.

Awards: Bonus Prize (Link)


Type: Hackster | 2020 NXP HoverGames Challenge 2: Help Drones, Help Others During Pandemics Competition International Participant.

Summary: A precision landing (docking) technique that allows a drone to land autonomously and safely on static and moving platforms.

Awards: Bonus Prize (Link)


Type: Hackster | 2020 NXP HoverGames Challenge 2: Help Drones, Help Others During Pandemics Competition International Participant.

Summary: Supporting the medical and emergency personnel team with autonomous capabilities to medicine and essential delivery.

Awards: Bonus Prize (Link)

CERTIFICATIONS

PROFESSIONAL MEMBERSHIPS AND VOLUNTEERING

AIAA – ID: 762524

IEEE – ID: 92568615

ASME - ID: 102592292 (Reviewer)

IJIRMPS - ID: 301 (Reviewer)

 


INDUSTRIAL TRAINING AND WORKSHOPS


ACHIEVEMENTS AND ACTIVITIES

SEMINARS PRESENTED

REFERENCES

PERSONAL INFORMATION