Projects
Current Areas of Research
Manufacturing Automation, Industry 4.0, Manufacturing Analytics, Computer Vision and Machine Learning for Industry Robotics
Human-machine teaming/cooperation and cyber-physical systems
Navigation and path planning of autonomous unmanned aerial and ground vehicles (ex: Drones) using machine learning tools
Human factor studies to test the effects of intelligent systems and smart devices on performance and efficiency
Health-care technology design, development, and testing
Smart grid, renewable energy integration into the smart grid, machine learning models for rapidly changing grid requirements.
Projects
Ongoing
Factory Automation and Analytics Toolkit (FAAT)
Project Duration: September, 2019 - Present
Role(s): Product manager, designer
Description: Product description on KineticAI
Research and Development into Magnehelic Gages Assembly Flow Line Automation through Industry 4.0 Technology
Project Duration: June, 2019 – Present
Funding Industry: Dwyer Instruments, Inc.
Award Amount: $150,000+
Project Worth $1M+
Role(s): PI
Skills Used: Project management, project coordination, machine learning, embedded programming, algorithm development
Description: Developing and testing proof of concepts to the cognitive and visual checks used in this gaze assembly flow line. Developing the design concept through computer-aided design and motion simulations. Assembly and testing of electrical and mechanical testing proof of concepts sets developed at Dwyer based on the designs provided based on our R&D.
IoT System Redesign
Project Duration: June, 2019 - Present
Funding Industry: Sonam Technologies LLC
Award Amount: $10,000
Project Worth: $300,000
Award Roles: Project management, product development
Description: Redesigning ST Impact Analyzer hardware
Completed
Indoor Autonomous Athletic Drone
Project Duration: December, 2018 – April, 2019
Funding Agency: Purdue University Northwest ECE Department
Award Amount: $8,000
Role(s): Research Scientist & Project Coordinator
Skills Used: project management, project coordination, machine learning, embedded programming, algorithm development
Description: The project aim is to design and develop an indoor drone that is capable of flying indoors and crowded spaces safely to humans and property. The project goal is to develop a comprehensive student-training program in later stages, bringing a compelling, engaging, and grounded STEM experience to K-12 students through in-school and after-school activities.
Application of Modern Techniques in Autonomous Racing Vehicle Implementation
Project Duration: December, 2018 – April, 2019
Funding Agency: Indiana Space Grant Consortium (INSGC)
Award Amount: $600
Role(s): Mentor
3D Mapping with Lidar and Stereoscopic Camera
Project Duration: December, 2018 – April, 2019
Funding Agency: Indiana Space Grant Consortium (INSGC)
Award Amount: $600
Role(s): Mentor
Improving Healthcare Training using Synthetic Assistants for Medical Training in Live Virtual Constructive Environment
Project Duration: February 1, 2016 – December 14, 2018
Funding Agency: Ohio Federal Research Network (OFRN) Round 1 Award
Award Amount: $655,000 total, UT \$137,500
Principal Investigators: Vijay Devabhaktuni and Ahmad Y Javaid
Role(s): Research Assistant, Architect, Developer and Business Analyst
Skills Used: product design, artificial intelligence, AWS, user studies, product evaluation,statistics, performance metrics
Outcomes: 4 papers submitted in different avenues and 1 Patent in preparation
Description: Innovatively architected and developed synthetic assistant technologies using user-centered design, Alexa voice assistant, AWS Dynamo DB, Lambda, API Gateway, EC2, JavaScript, and Python to assist in first responder training and error alert system (Demo 1 and 2)
Human-Machine Teaming using Intelligent Agents in Operating UGV
Project Duration: April 15, 2016 – July 28, 2018
Funding Agency: Unfunded as part of the dissertation
Principal Investigators: Vijay Devabhaktuni and Ahmad Y Javaid
Role(s): Research Assistant, Architect, Developer and Business Analyst
Skills Used: product design, artificial intelligence, Python, C/C++, AWS, product evaluation, statistics, performance metrics
Outcomes: 1 conference and 1 journal paper
Description: Innovatively designed and developed a collaborative control system for unmanned ground vehicle operation using Python, Alexa voice assistant, AWS Dynamo DB Lambda, API Gateway, EC2, and JavaScript Developing human error detection in controlling unmanned ground vehicles using physiological sensors such as eye tracking and brain-machine interface.
I-Corps Teams: Wireless Sensor Network Based Localization and Navigation for Precision Agriculture
Funding Agency: National Science Foundation (NSF)
Award Amount: $50,000
Award Number: 1638927
Project Duration: April 15, 2016 – February 28, 2017
Principal Investigators: Vijay Devabhaktuni
Role: Entrepreneur Lead (EL)
Description: Successfully conducted 140 customer interviews for market study as part on I-Corps program Developed and tested lean startup business using business model canvas and presented reports to NSF
TARTA Bus Redesign Project (Volunteer) (April - July 2017)
New Methodologies for System-Level Electromagnetic Compatibility (EMC) Analysis) of Electronic Systems (April – August 2014)
Funding Agency: National Science Foundation (NSF)
Linear Rotating Generator (January 2011 – November 2012)
On-Board Programmable Drives (May – July 2011)
Printed Circuit Disc Motor (January – November 2009)