Thesis Title: Traffic Light Detection and V2I Communications of an Autonomous Vehicle with the Traffic Light for an Effective Intersection Navigation using MAVS Simulation When: 10/18/2023, 2:00 PM Where: Simrall 228 Candidate: Mahfuzur Rahman Degree: Master of Science in Electrical and Electronics Engineering Committee Members: Dr. John E. Ball, Dr. Ali C. Gurbuz, Dr. Umar…
Dissertation Title Estimating Surface Reflectivity with Smartphone and Semi-Custom GNSS Receivers on UAS-based GNSS-R Technology and Surface Brightness Temperature using UAS-based L Band Microwave Radiometer When 07/25/2023 1:00 PM Where Simrall 228 Candidate Md Mehedi Farhad Degree Doctor of Philosophy in Electrical and Computer Engineering Committee Members Dr. Mehmet Kurum, Dr. John E. Ball, Dr….
Dissertation Title: Improved methodology and characterization for conducted EMI assessment of power electronics When: 07/14/2023 02:00 PM Where: Webex Only – https://msstate.webex.com/msstate/j.php?MTID=mfb78c31ee3b5663ac5e78134656c7085 Candidate: Mark Didat Degree: Doctor of Philosophy in Electrical and Computer Engineering Committee Members: Dr. Seungdeog Choi, Dr. Andrew Lemmon, Dr. Masoud Karimi-Ghartemani, Dr. Yong Fu. Abstract Electromagnetic Interference (EMI), primarily common mode…
Dissertation Title: Resource Optimization of Edge Servers dealing with Priority-Based Workloads by utilizing Service Level Objective-Aware Virtual Rebalancing When: 06/14/2023 12:00 PM Where: Simrall Hall Room 228 Candidate: Amna Shahid Degree: Master of Science in Electrical and Computer Engineering Committee Members: Dr. Samee Khan (Major Professor) Dr. Chaomin Luo (Committee Member) Dr. Yu Luo (Committee Member) Abstract: The advent of the Internet…
Dissertation Title: Physical Layer Security with Unmanned Aerial Vehicles for Advanced Wireless Networks When: 06/08/2023 04:30 PM Where: Simrall 228 Candidate: Aly Sabri Abdalla Degree: Doctor of Philosophy in Electrical and Computer Engineering Committee Members: Dr. Vuk Marojevic, Dr. John E. Ball, Dr. Ali C. Gurbuz, Dr. Bo Tang. Abstract Unmanned aerial vehicles (UAVs) are emerging as enablers…
Dissertation Title: Exploring bistatic scattering modeling for land surface applications using radio spectrum recycling in the Signal of Opportunity Coherent Bistatic Simulator When: 06/19/2023 10:00 AM Where: Simrall 228 Candidate: Dylan R. Boyd Degree: Doctor of Philosophy in Electrical and Computer Engineering Committee Members: Dr. Mehmet Kurum, Dr. John E. Ball Dr. J. Patrick Donoho…
Title: Determining student attentiveness by use of heart rate measurement using a wearable device When: 04/21/2023 10:00 AM Where: Simrall 228 & Webex https://msstate.webex.com/msstate/j.php?MTID=md3602ae78c01a5f9288bd2842b3de401 Candidate: Erik Brown Degree: Master of Science in Electrical and Computer Engineering Committee Members: Dr. Mahnas Jean Mohammadi-Aragh (Major Professor) Dr. Bryan Jones (Committee Member) Dr. Ryan Green (Committee Member) Dr….
Thesis Title: Unmanned Aerial System Integration Safety and Security Technology Ontology Date: 03/09/2023 1:00 PM Location: Simrall Conference Room 228 Candidate: Rebecca Garcia Degree: Master of Science in Electrical and Computer Engineering Committee Members: Dr. Samee U. Khan, Dr. Chaomin, Dr. Yu Luo Abstract: Unmanned Aerial System (UAS) is a versatile and essential tool for…
Dissertation Title: Secure and Efficient Federated Learning Date: 03/10/2023 4:00 PM Location: Simrall Conference Room 228 Candidate: Xingyu Li Degree: Doctor of Philosophy in Electrical and Computer Engineering Committee Members: Dr. Bo Tang, Dr. Jenny Du, Dr. John Ball, Dr. Yong Fu Abstract: In the past 10 years, the growth of machine learning technology has been…
Dissertation Title: Eddy current defect response analysis using sum of Gaussian methods When: 2/22/2023 10:30AM Where: https://msstate.webex.com/msstate/j.php?MTID=m4e633a3d3c5cb5e49ca4813dcce3695d Candidate: James Earnest Degree: Doctor of Philosophy in Electrical and Computer Engineering Committee Members: Dr. Robert Moorhead, Dr. John Ball, Dr. Ali Gurbuz, Dr. Mehmet Kurum Abstract: This dissertation is a study of methods to automatedly detect and produce…