Texas A&M International University - English
Graduate Teaching Assistant at Texas A&M University
Research
Jonathan
Martinez
Bryan/College Station, Texas Area
I am currently a Computer Science PhD student at Texas A&M University and am a member of the Embedded Signal Processing Lab. My current research projects consist of medical signal forecasting and activity recognition with deep learning methods. Feel free to contact me for any technical or business discussions.
Research Assistant
-Developed two user manuals used by 10+ higher level students – user manuals provided instruction required to function the Unmanned Ground and Unmanned Aerial Vehicles used by the laboratory
-Studied Unmanned Ground and Unmanned Aerial Vehicle dynamics
-Participated in the Perseus III DoD Demonstration investigating unknown UAV capabilities and new methods for disrupting an invading vehicle
-Executed Hand Gesture Controlled Drones project – UAV performs task/movement as a response to a user’s hand gesture
Graduate Research Assistant
-Conducted data analytics and artificial intelligence research
-Lead data analytics and anomaly detection research for Large Scale Data Analytics for Air Conditioning Systems Project – funded by Trane (Ingersoll Rand Inc.)
-Contributed to the development of a novel operating mode detection algorithm for air conditioning systems
-Developed novel change-point detection scheme to be used for detecting change in air conditioning system behaviors
-Applied autoregressive forecasting methods to analyze faulty system behaviors
-Assisted with publication submission reviews, grading exams, proposal writing, and giving course lectures
Graduate Teaching Assistant
CSCE 431: Software Engineering
CSCE 121: Intro to Programming Design and Concepts
- C++ Programming Language
Electrical Engineer
-Solved technical research problems relevant to the Command and Control mission
-Co-primary investigator to an awarded Entrepreneurial Research Funding initiative proposal for an interface framework which will help link simulator environments to learning algorithms
-Organized and managed a directorate-wide Machine Learning Readings and Discussions Group created to enlighten fellow researchers of current state of the art learning methods
-Helped review machine learning relevant proposals submitted in response to a Broad Agency Announcement for a federal contract opportunity
-Through the Science and Engineering Palace Acquire Program, I was awarded a full-tuition scholarship to pursue a technical Master of Science/Engineering degree
-Elected as a Junior Force Council Member who participated in voting upon the Junior Force group’s activity (i.e. Group Expenses, Federal Employee professional development, STEM activities, professional networking, volunteer activities, fundraising, social events)
Electrical Engineering Student Intern
-Organized and prepared equipment used by 16 Senior Executive Service personnel during Senior Development Team meetings
-Developed first ever automated forms to be used by 290+ Palace Acquire Interns
-Intern responsible for organizing and performing data analysis for 4,000+ resumes for the United States Air Force Civilian Science and Engineering Career Field Team
-Converted archaic data to an organized database used by 10+ personnel to perform daily duties
Cashier
-Handled multiple tasks while assisting customers with point of sale transactions and other related services
Bachelor of Science - BS
Electrical Engineering
Research Assistant
-Developed two user manuals used by 10+ higher level students – user manuals provided instruction required to function the Unmanned Ground and Unmanned Aerial Vehicles used by the laboratory
-Studied Unmanned Ground and Unmanned Aerial Vehicle dynamics
-Participated in the Perseus III DoD Demonstration investigating unknown UAV capabilities and new methods for disrupting an invading vehicle
-Executed Hand Gesture Controlled Drones project – UAV performs task/movement as a response to a user’s hand gesture
Business Immersion for Engineers Program
- Two-week immersion program sponsored by Dell Technologies which included courses covering Accounting, Marketing, Finance, Supply Chain, Management, and various soft skills
- First Place Project Team Award for Proposed Business Plan
Doctor of Philosophy - PhD
Computer Science
Graduate Research Assistant
-Conducted data analytics and artificial intelligence research
-Lead data analytics and anomaly detection research for Large Scale Data Analytics for Air Conditioning Systems Project – funded by Trane (Ingersoll Rand Inc.)
-Contributed to the development of a novel operating mode detection algorithm for air conditioning systems
-Developed novel change-point detection scheme to be used for detecting change in air conditioning system behaviors
-Applied autoregressive forecasting methods to analyze faulty system behaviors
-Assisted with publication submission reviews, grading exams, proposal writing, and giving course lectures
Graduate Teaching Assistant
CSCE 431: Software Engineering
CSCE 121: Intro to Programming Design and Concepts
- C++ Programming Language
The following profiles may or may not be the same professor:
The following profiles may or may not be the same professor: