Dr. Jorge Vargas earned his Ph.D. in Electrical Engineering from Florida International University in 2005. Dr. Vargas has over 18 years of experience in academia and has worked with multi-million-dollar funded projects in the fields of RF/Microwave Engineering, Microelectronics, Radar Sensors for Connected and Autonomous Vehicles, Sensor Fusion, Robotics, and Machine Learning. Prior to joining MTSU in January 2021, he worked as an Associate Professor in Electrical Engineering at Florida Polytechnic University, where he taught several undergraduate and graduate courses on electrical circuits, electronics, logic design, radio frequency, microprocessor design, and sensors. Also, he had the opportunity to design and develop the Electrical and Computer Engineering curricula for the undergraduate and graduate programs, supported collaborative educational grants for external funding opportunities, provided outreach projects to the community, and served as an academic program coordinator in the Electrical Engineering department. His industry background at IBM involves product and process development of RF/Microwave devices.

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• Upadhya, J., Vargas, J., Poudel, K., Ranganathan, J. (2024). Improving the Efficiency of Multimodal Approach for Chest X-Ray. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the Second International Conference on Advances in Computing Research (ACR’24). ACR 2024. Lecture Notes in Networks and Systems, vol 956. Springer, Cham. https://doi.org/10.1007/978-3-031-56950-0_5
• M. N. Hasan, S. Hamdan, S. Poudel, J. Vargas and K. Poudel, "Prediction of Length-of-stay at Intensive Care Unit (ICU) Using Machine Learning based on MIMIC-III Database," 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 321-323, doi: 10.1109/CAI54212.2023.00142.
• Poudel, S., Paudyal, R., Cankaya, B., Vargas, J., Poudel K. et al. Cryptocurrency price and volatility predictions with machine learning. J Market Anal 11, 642–660 (2023). https://doi.org/10.1057/s41270-023-00239-1
• E. Oluwasakin, T. Torku, S. Tingting, A. Yinusa, S. Hamdan, S. Poudel, N. Hasan, J. Vargas, K. Poudel, Minimization of high computational cost in data preprocessing and modeling using MPI4Py, Machine Learning with Applications, Volume 13, 2023, 100483, ISSN 2666-8270, https://doi.org/10.1016/j.mlwa.2023.100483.
• S. Muhammed, K. Poudel, J. Vargas et al., "Improved Classification of Alzheimer’s Disease With Convolutional Neural Networks," 2023 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Philadelphia, PA, USA, 2023, pp. 1-7, doi: 10.1109/SPMB59478.2023.10372725.
• J. May, S. Poudel, S. Hamdan, K. Poudel and J. Vargas, "Using the CARLA Simulator to Train A Deep Q Self-Driving Car to Control a Real-World Counterpart on A College Campus," 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 2206-2210, doi: 10.1109/BigData59044.2023.10386739.
• Duke, J.; Neville, E.; Vargas, J. A Modulated Approach for Improving MFSK RADARS to Resolve Mutual Interference on Autonomous Vehicles (AVs). Sensors 2023, 23, 7192. https://doi.org/10.3390/s23167192
• Vargas, Jorge, and Antonio Saavedra. "Sensor Analysis and Semiconductor Process Advances for Autonomous Vehicles." Journal of Electrical and Electronic Engineering 10.5 (2022): 199-206.
• Vargas, J.; Alsweiss, S.; Toker, O.; Razdan, R.; Santos, J. An Overview of Autonomous Vehicles Sensors and Their Vulnerability to Weather Conditions. Sensors 2021, 21, 5397. https://doi.org/10.3390/s21165397
• O. Toker, S. Alsweiss, J Vargas, R. Razdan, “Design of an automotive radar sensor firmware resilient to cyber-attacks,” IEEE SoutheastCon 2020, DOI: 10.1109/SoutheastCon44009.2020.9249731
• H. Chintakunta, J. Vargas, S. Alsweiss, D. Holton, “Using peer led team learning (PLTL) approach to improve retention in ECE gateway courses," 2020 ASEE Southeastern
• Vargas J., Alsweiss S., Jernigan M., Amin A., Brinkmann M., Santos J., Razdan R., “Development of Sensors Testbed for Autonomous Vehicles,” 2019 IEEE, SE Conf., Network Sensors. DOI: 10.1109/SoutheastCon42311.2019.9020344
• Akbas M., Sargolzaei A., Alnaser A., Sahawneh S., Alsweiss S., Vargas J., Razdan R. “Unsettled Technology Areas in Autonomous Vehicle Test and Validation,” SAE EDGE, SAE International, June 2019, DOI: 10.4271/EPR2019001
• Carpenter M., Yakymyshyn C., Micher L., Drake C. and Vargas J. “Proposal-Based Learning for Freshman Introduction to Engineering,” ASEE, 2016. DOI:10.18260/p.26009; and permanent URL: https://peer.asee.org/26009
• Vargas J. M., Hijazi Y., Vlasov Y.A. and Larkins G.L., Jr. “ Effectiveness of BaTiO3 dielectric patches on YBCO thin films for MEM switches.” Journal of Physics: Conf. Series Institute of Physics, 2014, 507(4):042045
• Vargas J. M., Bogozi A., Noel J., Hijazi Y., Vlasov Y.A. and Larkins G.L., Jr. “Reliability of suspended bridges on superconducting microstrip filters using MEMS switches.”  IEEE Trans. On Appl. Supercond. , 2011, v. 21, no. 3, p. 567-570

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Research Grants:

• NSF-ATE:"Certifying Future Robotics Technicians in Middle Tennessee" 2024-2027
• Walker Library Seed Grant: Radar sensor tested simulations using Matlab/Simulink
• NSF-MRI: "Acquisition of Real-Time Hardware-in-the-Loop Simulation for Verification of CAVs” 2019-2023
• "Renewable Energy and Sustainability Education" by Florida Energy System Consortium (FESC) 2015-2016
• "Embedded Discovery Platform" by Harris Corp. 2015-2016
• “Samuel P. Massie Chair of Excellence in Environmental Disciplines" by the US Department of Energy 2010-2015, Sub-Project: Spintronic-Based Radiation Sensors

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