Jaya Sravani Mandapaka
1616 West Oak Street Apt 109, Denton,TX
Summary
Expertise in UAS-to-UAS communications and collision avoidance strategies, specializing in innovative solutions for cooperative and non-cooperative systems. Focus on leveraging 5G technology and Air-to-Air channel modeling to enhance efficiency and safety in unmanned aerial operations. Led a project that achieved victory in a national competition, demonstrating exceptional results. Recipient of the 2023 Walton Smart Cities Fellowship for contributions to advancing intelligent urban environments. Strong foundation in programming, data analysis, and interdisciplinary collaboration to drive impactful outcomes.
Overview
9
9
years of professional experience
1
1
Certificate
Work History
Graduate Teaching Assistant
University of North Texas
08.2021 - Current
- Instructor for Communication Systems Lab
- Mentored students through office hours and one-on-one communication
- Participated in lesson planning and curriculum implementation to promote quicker rollout and delivery
- Assisted the professor in teaching the following subjects: Machine Learning for Electrical Engineering, Communication systems
- Checked assignments, proctored tests, and provided grades according to university standards.
- Developed strong rapport with students through open communication channels, fostering an inclusive learning environment.
C. Michael Walton Smart Cities Fellow
University Of Texas At Austin
06.2023 - 10.2023
- Demonstrated knowledge of UAS use cases for fire departments, law enforcement, and disaster management.
- Understanding of UAS benefits like rapid response, access to difficult areas, enhanced sensor capabilities, and communication relay
- Knowledge of UAS equipment such as thermal imaging cameras, LiDAR, and weather sensors
- Awareness of FAA regulations, including Part 107 rules and BVLOS operations
- Researched and analyzed UAS implementations by agencies like Los Angeles Fire Department, Chula Vista Police Department, and Texas Department of Public Safety
- Understanding of best practices for UAS program development and implementation
- Knowledge of how AAM could impact emergency response and public safety operations
- Understanding of the potential for urban air mobility in disaster scenarios
- Developed policies and recommendations for UAS integration in emergency response
- Awareness of privacy, security, and airspace management concerns related to UAS operations
Graduate Research Assistant
Arkansas State University
06.2020 - 05.2021
- Led a team of undergraduate students working on research and coordinated with the professor to update progress
- Collected data regarding Neural Networks to assist professors with academic pursuits
- Supported department members with administrative, research, and academic assistance
- Utilized advanced statistical software to analyze large datasets, uncovering key insights for informed decision-making.
- Participated in regular meetings with project supervisors, providing progress updates and discussing potential challenges or areas for improvement.
Graduate Teaching Assistant
Arkansas State University
08.2019 - 06.2020
- Assisted professor in teaching following subjects: Embedded systems lab, Electronics lab, Digital Design, Software Applications, Applied Statistics, Control Systems, College Algebra
- Mentored students through office hours and one-on-one communication
- Coordinated with professor in lesson planning and curriculum implementation to promote quicker rollout and delivery
- Maintained laboratory operations, updating and revising standardized operating procedures and reordering raw materials and supplies to sustain experiments and workflow
Subject Matter Expert
Wipro Limited
09.2017 - 07.2019
- Managed small-sized team projects by reviewing and understanding project requirements and translating requirements into technical solutions
- Actively involved in business requirement gathering meetings
- Worked closely with clients on delivery and deployment
- Created procedures for system monitoring, recovery, backup, and optimization
- Researched, designed, and implemented scalable applications for data extraction, analysis, retrieval, and indexing
- Mentored junior team members, contributing to their professional growth and development.
- Established best practices for knowledge sharing, fostering a culture of continuous learning and improvement.
Intern
National Informatics Center
08.2015 - 09.2017
- Developed a web application that stores all the details related to licenses and Aadhar cards (Government ID) using Java and Structs framework
- Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
- Gained valuable experience working within a specific industry, applying learned concepts directly into relevant work situations.
- Used JDBC to connect to the database and retrieve data
- Created new tables, views, and queries for the application using PostgreSQL
Education
Ph.D. - Electrical Engineering
University Of North Texas
Denton, TX12.2024
Master of Science - Computer Science
Arkansas State University
Jonesboro, Arkansas05.2021
Bachelor of Science - Electronics and Communication Engineering
Jawaharlal Nehru Technological University
Hyderabad, India06.2017
Skills
- Programming Languages: Python, Java, C, C, Assembly Language, Verilog, HTML, CSS, JavaScript
- Frameworks and Libraries: Nodejs, SQL, PostgreSQL
- Development Environments: PyCharm, Jupyter Notebook, Google Colab, Eclipse
- Simulation and Design Tools: AERPAW, Matlab, Simulink, Xilinx Design Suite, LTSpice, CST
- Game Development: Unity, Unreal Engine
- Simulation Platforms: AirSim, PX4, Q Ground Control
- Toolboxes: Satellite Toolbox, Communications Toolbox, 5G Toolbox, LTE Toolbox, Drone Toolbox
- Hardware: Jetson Nano, Raspberry Pi, PLC, STK 500
Accomplishments
- Walton Smart Cities Fellowship 2023: Awarded for significant contributions to research and innovation in urban technology.
- AERPAW National Competition: Led UNT's winning team, showcasing strong leadership and expertise in advanced wireless communications.
- ICAO AAM Competition: Abstract titled "Collision Avoidance Strategies for Advanced Air Mobility Using Vehicle-to-Vehicle Communications" accepted by the International Civil Aviation Organization.
Certification
- Part 107
- 5G Premier Qualcomm
- Fundamentals of Cellular Communication and 5G Qualcomm
Affiliations
- Student Advisor: IEEE Eta Kappa Nu (HKN), Recording Secretary, Lambda Zeta Chapter at UNT (2022-2023)
- Volunteer: DCAS 2023, organized by IEEE at UNT
- Member of Professional Societies: Women in Computing
- Society of Women Engineers
- Aerospace and Electronic Systems Society
- Communications Society
- Engineering in Medicine and Biology Society
- Robotics and Automation Society
- Signal Processing Society
- Vehicular Technology Society
Timeline
C. Michael Walton Smart Cities Fellow
University Of Texas At Austin
06.2023 - 10.2023
Graduate Teaching Assistant
University of North Texas
08.2021 - Current
Graduate Research Assistant
Arkansas State University
06.2020 - 05.2021
Graduate Teaching Assistant
Arkansas State University
08.2019 - 06.2020
Subject Matter Expert
Wipro Limited
09.2017 - 07.2019
Intern
National Informatics Center
08.2015 - 09.2017
- Part 107
- 5G Premier Qualcomm
- Fundamentals of Cellular Communication and 5G Qualcomm
Ph.D. - Electrical Engineering
University Of North Texas
Master of Science - Computer Science
Arkansas State University
Bachelor of Science - Electronics and Communication Engineering
Jawaharlal Nehru Technological University
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote
Almost everything worthwhile carries with it some sort of risk, whether it’s starting a new business, whether it’s leaving home, whether it’s getting married, or whether it’s flying into space.
Chris Hadfield
Research
Ph.D. Research:
Project: UAS to UAS Communications Use Cases and Message Protocols
Collaborators: UNT, Unmanned Experts
Duration: August 2021 – Present
- Conducted an extensive review of Vehicle-to-Vehicle (V2V) communications for UAS, identifying gaps in existing research and AAM services, particularly the absence of an Air-to-Air (A2A) channel model.
- Developed U2U message protocols addressing regulatory and operational challenges in shared airspace for five standard use-case scenarios.
- Simulated U2U communication in crossroads, roundabouts, and merging scenarios using AirSim and demonstrated the use cases on AERPAW.
- Created collision avoidance strategies for structured and unstructured airspace involving cooperative and non-cooperative UAS vehicles.
Project: NSF RINGS Project (Resilient and Intelligent NextG Systems)
Collaborators: UNT, UTD, UNM, Intel, Nokia, Government Agencies
Duration: April 2022 – Present
- Contributed to developing resilient NextG systems for emergency response and disaster management, funded by NSF and DoD.
- Worked on integrating 5G, edge computing, and AI technologies for public safety applications.
- Assisted in the design and implementation of a resilient mobile 5G infrastructure.
- Developed AI-driven decision support systems for emergency responders and MEC solutions for disaster scenarios.
- Collaborated with interdisciplinary teams to address real-world public safety challenges using cutting-edge technologies.
Project: 5G Integration and Testing of 5G ORAN Private Network
Collaborators: NCTCOG, UNT, COMSovereign
Duration: January 2023 – Present
- Contributed to the integration and testing of a 5G ORAN private network, upgrading to version 4.1
- Led the design and development of a platform integrating 5G system capabilities into public safety, mobile edge computing (MEC), and aerial systems applications
- Debugged and restored full system functionality after a 5G system software upgrade, coordinating with industry partner COMSovereign
- Established connectivity between the 5G system and an AT&T mobile hotspot, enabling deployment of a resilient mobile 5G infrastructure
- Developed a Raspberry Pi-based platform with a Waveshare 5G modem to incorporate 5G capabilities into MEC devices
- Prepared for integration of 5G capabilities into UAV/drone applications using the development platform
Masters Research, 05/01/20, 05/01/21,
Project: Estimating Musical Appreciation for Digital Forensics Applications using Neural Network
- Developed a neural network model to estimate musical appreciation, combining techniques from computer science, music theory, and digital forensics
- Implemented feature extraction techniques and algorithms for musical attribute analysis using MATLAB and Python
- Integrated Spotify API and developed node.js functionality for data collection and user authentication
- Designed and conducted experiments with human subjects, analyzing responses to random music clips
- Published findings in the Proceedings of the Future Technologies Conference (Springer, 2021)
Publications
- Dalloul, B., Mandapaka, J. S., McCorkendale, L., Nicoll, S., & Namuduri, K. (2024, June). Merging in Air Corridors Using Vehicle-to-Vehicle Communications. In ICC 2024-IEEE International Conference on Communications (pp. 3894-3900). IEEE.
- Namuduri, K., Mandapaka, J. S., & Kidane, M. F. The Philosophy of UAS-to-UAS Communications.
- White Paper: Jaya Sravani Mandapaka Texas Innovation Alliance, https://www.txinnovationalliance.org/learning-hub-library/uas-strategies-for-texas-first-responders
- Collision Avoidance Strategies for Cooperative Unmanned Aircraft Systems using Vehicle-to-Vehicle Communications, Mandapaka, J.S., Dalloul, B., Hawkins, S., Namuduri, K., Nicoll, S. and Gambold, K., 06/01/23, 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)
- Ground-Based Communication Support for Air Corridors, Prabhath, K., Sun, X., Jayaweera, S.K., Manu, D., Kakaraparty, K., Pallav, S., Mahbub, I., Mandapaka, J.S., Rochi, S.D., Meraz, M. and Namuduri, K., 09/01/23, 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
- Estimating Musical Appreciation Using Neural Network, Mandapaka, J.S., Omowonuola, V. and Kher, S., 11/01/21, Proceedings of the Future Technologies Conference
Peer Reviewer
- Elsevier Vehicular Communications
- IEEE Vehicular Technology Magazine
- IEEE ICC 2024
- IEEE VTC Fall 2024
Research
Ph.D. Research:
Project: UAS to UAS Communications Use Cases and Message Protocols
Collaborators: UNT, Unmanned Experts
Duration: August 2021 – Present
- Conducted an extensive review of Vehicle-to-Vehicle (V2V) communications for UAS, identifying gaps in existing research and AAM services, particularly the absence of an Air-to-Air (A2A) channel model.
- Developed U2U message protocols addressing regulatory and operational challenges in shared airspace for five standard use-case scenarios.
- Simulated U2U communication in crossroads, roundabouts, and merging scenarios using AirSim and demonstrated the use cases on AERPAW.
- Created collision avoidance strategies for structured and unstructured airspace involving cooperative and non-cooperative UAS vehicles.
Project: NSF RINGS Project (Resilient and Intelligent NextG Systems)
Collaborators: UNT, UTD, UNM, Intel, Nokia, Government Agencies
Duration: April 2022 – Present
- Contributed to developing resilient NextG systems for emergency response and disaster management, funded by NSF and DoD.
- Worked on integrating 5G, edge computing, and AI technologies for public safety applications.
- Assisted in the design and implementation of a resilient mobile 5G infrastructure.
- Developed AI-driven decision support systems for emergency responders and MEC solutions for disaster scenarios.
- Collaborated with interdisciplinary teams to address real-world public safety challenges using cutting-edge technologies.
Project: 5G Integration and Testing of 5G ORAN Private Network
Collaborators: NCTCOG, UNT, COMSovereign
Duration: January 2023 – Present
- Contributed to the integration and testing of a 5G ORAN private network, upgrading to version 4.1
- Led the design and development of a platform integrating 5G system capabilities into public safety, mobile edge computing (MEC), and aerial systems applications
- Debugged and restored full system functionality after a 5G system software upgrade, coordinating with industry partner COMSovereign
- Established connectivity between the 5G system and an AT&T mobile hotspot, enabling deployment of a resilient mobile 5G infrastructure
- Developed a Raspberry Pi-based platform with a Waveshare 5G modem to incorporate 5G capabilities into MEC devices
- Prepared for integration of 5G capabilities into UAV/drone applications using the development platform
Masters Research, 05/01/20, 05/01/21,
Project: Estimating Musical Appreciation for Digital Forensics Applications using Neural Network
- Developed a neural network model to estimate musical appreciation, combining techniques from computer science, music theory, and digital forensics
- Implemented feature extraction techniques and algorithms for musical attribute analysis using MATLAB and Python
- Integrated Spotify API and developed node.js functionality for data collection and user authentication
- Designed and conducted experiments with human subjects, analyzing responses to random music clips
- Published findings in the Proceedings of the Future Technologies Conference (Springer, 2021)
Publications
- Dalloul, B., Mandapaka, J. S., McCorkendale, L., Nicoll, S., & Namuduri, K. (2024, June). Merging in Air Corridors Using Vehicle-to-Vehicle Communications. In ICC 2024-IEEE International Conference on Communications (pp. 3894-3900). IEEE.
- Namuduri, K., Mandapaka, J. S., & Kidane, M. F. The Philosophy of UAS-to-UAS Communications.
- White Paper: Jaya Sravani Mandapaka Texas Innovation Alliance, https://www.txinnovationalliance.org/learning-hub-library/uas-strategies-for-texas-first-responders
- Collision Avoidance Strategies for Cooperative Unmanned Aircraft Systems using Vehicle-to-Vehicle Communications, Mandapaka, J.S., Dalloul, B., Hawkins, S., Namuduri, K., Nicoll, S. and Gambold, K., 06/01/23, 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring)
- Ground-Based Communication Support for Air Corridors, Prabhath, K., Sun, X., Jayaweera, S.K., Manu, D., Kakaraparty, K., Pallav, S., Mahbub, I., Mandapaka, J.S., Rochi, S.D., Meraz, M. and Namuduri, K., 09/01/23, 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
- Estimating Musical Appreciation Using Neural Network, Mandapaka, J.S., Omowonuola, V. and Kher, S., 11/01/21, Proceedings of the Future Technologies Conference
Peer Reviewer
- Elsevier Vehicular Communications
- IEEE Vehicular Technology Magazine
- IEEE ICC 2024
- IEEE VTC Fall 2024
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