Department of Electrical and Computer Engineering
University of Texas at San Antonio
AET 2.368
Email: yufang.jin@utsa.edu
Phone: 210-458-5588

Dr. Yufang Jin joined UTSA in 2004 right after she graduated from the University of Central Florida. She was trained in nonlinear systems and control and has extended her research scope to robotics, mathematical modeling, and control of networked systems such as power grids and biological pathways. Her recent research interest includes modeling complex systems using both physical-driven and data-driven methods, especially the application and interpretation of different artificial intelligence algorithms.


  • April 12, 2021, Dr. Jin received ECE Faculty Awards in UG Mentoring as Most Visited Faculty
  • April 7, 2021, Our former Ph.D. Student Ricardo Ramirez received the UTSA Graduate School’s Outstanding Ph.D. Dissertation Award!
  • March 29, 2021, Dr. Jin Received an NSF grant, “REU Site: Artificial Intelligence Powered Robotics in 5G
  • March 26, 2021: Student Adam Hooker received the prestigious Barry Goldwater Scholarship for his work on IoT Radiation Sensor Security
  • March 23, 2021: Student Joshua Ramirez was accorded an Honorable Mention in the 2021 National Science Foundation (NSF) Graduate Research Fellowship Program (GRFP) competition.
  • February 22, 2021: Student Eugenia Cadete’s paper was accepted by TranSET 2021;



Dr. Yufang Jin has been assigned approximately 450 sq ft of space for the systems and control lab located in a brand new Applied Engineering Technology (AET) Building at the University of Texas at San Antonio (UTSA). The laboratory is equipped with a cold/hot water faucet, vent hood, and emergency eye and shower stations located immediately outside the entrance. The lab can host 10 graduate students and is equipped with 9 computers, computational software, and electronic hardware for carrying out various projects. Dr. Jin and her research team also have access to the fast internet service, UTSA Research Data Center, UTSA Open Cloud Institute (OCI) computer cluster, and UTSA High-Performance Computing Cluster.


Research Thrusts

Modeling and Control of Nonlinear Systems: Robotics, power grids, and biological systems
Application of AI on biological Systems
Intelligent Scheduling for Electric Vehicle Charging
Modeling and Analysis of Networked Systems
Advanced System Simulation
Stability and Control fo Power Converters

Current Research Projects

“REU Site: Artificial Intelligence Powered Robotics in 5G,” PI: Yufang Jin, Co-PI: Brian Kelley, National Science Foundation & Department of Defense, 03/29/21-02/28/24.
“A multi-AI-agent framework for vehicle-infrastructure integration and electric vehicle robust charging.,” PI: Sara Ahmed, Co-PI: Yufang Jin, TranSet, 08/15/2020-12/31/2021


Selected Publications in peer-reviewed journals

  1. Ricardo Ramirez, Yu-Chiao Chiu, Songyan Zhang, Joshua Ramirez, Yidong Chen, Yufei Huang, Yu-Fang Jin, Prediction and interpretation of cancer survival using graph convolutional neural networks, Methods, 2021; (IF 4.0)
  2. Ricardo Ramirez, Yu-Chiao Chiu, Allen Hererra, Milad Mostavi, Joshua Ramirez, Yidong Chen, Yufei Huang, Yu-Fang Jin, Classification of Cancer Types Using Graph Convolutional Neural Networks, Frontiers in Physics: Computational Physics, (2020). doi: 10.3389/fphy.2020.00203
  3. Ramirez, R., Herrera, A.M., Ramirez, Qian, C Menton DW, Shireman PK, Jin, YF.Deriving a Boolean dynamics to reveal macrophage activation with in vitro temporal cytokine expression profiles. BMC Bioinformatics 20, 725 (2019) doi:10.1186/s12859-019-3304-5
  4. Chen, Hung-I Harry and Jin, Yufang and Huang, Yufei and Chen, Yidong, Detection of high variability in gene expression from single-cell RNA-seq profiling, BMC Genomics, 2016 (Suppl 7):508.
  5. Liu, R., Gorthi, A., Jin, Y., Bishop, A., and Chen, Y. “Computational tools for genome-wide R-loops identification and characterization.” 2016. International Journal of Computational Biology and Drug Design.
  6. Kristine Y. DeLeon-Pennell, Yuan Tian, Bai Zhang, Courtney A. Cates, Rugmani Padmanabhan Iyer, Presley Cannon, Punit Shah, Paul Aiyetan, Ganesh V. Halade, Yonggang Ma, Elizabeth Flynn, Zhen Zhang, Yu-Fang Jin, Hui Zhang, Merry L. Lindsey, CD36 Is a Matrix Metalloproteinase-9 Substrate That Stimulates Neutrophil Apoptosis and Removal During Cardiac Remodeling, Circ Cardiovasc Genet. 2016 Feb;9(1):14-25. PMID: 26578544 (IF:4.6)
  7. Liu, R, Qian C, Liu S, Jin YF, State-Feedback Control Design for Dynamic Boolean Networks, BMC Systems Biology, 10(Suppl 3):70. (IF: 3.99)

Book Chapter

  1. Jin YF and Lindsey ML. “Multi-scale modeling and analysis of left ventricular remodeling post myocardial infarction: integration of experimental and computational approaches”, Application of Machine Learning, ISBN: 9789533070353, pp. 267-280, 2010.
  2. Nguyen NT, Yabluchanskiy A, de Castro Brás LE, Jin YF, Lindsey ML. Age-Related Changes in Extracellular Matrix: Implications for Ventricular Remodeling Following Myocardial Infarction.  In Aging and Heart Failure: Mechanisms & Management. Editor:  Jugdutt B.    377-389 (2014).

    Recent Refereed conference proceedings (refereed by paper, student starred)

      1. Cadete E*, Ding C, Xie M, Ahmed S, Jin YF, Prediction of Electric Vehicles Charging Load Using Long Short-Term Memory Model, TranSET conference 2021.
      2. Yousefi P*, Jin YF, Image-Based Prediction of Respiratory Diseases including COVID-19 using Convolutional Neural Networks, 11th International Conference on Information Science and Applications, Seoul, Korea, December 16-18th2020;
      3. Khatibi M, Jin YF, Ahmed S, Impact of Virtual Synchronous Generator (VSG) on Sub Synchronous Control Interaction (SSCI) in DFIG Systems Using Sequence Domain Impedance Method, 2020 IEEE Energy Conversion Congress and Exposition (ECCE),86-92
      4. Khatibi M, Jin YF, Ahmed S, Small Signal Modeling and Stability Analysis of Novel Grid Connected Z-Source Inverter with Virtual Synchronous Generator, IEEE Applied Power Electronics Conference & Exposition, New Orleans, Louisiana from March 15-19, 2020.
      5. Ayyagari KS, Gonzalez R, Jin YF, Alamaniotis M, Ahmed S, and Gatsis N, Artificial Neural Network-Based Adaptive Voltage Regulation in Distribution Systems using Data-Driven Stochastic Optimization, IEEE Energy Conversion Conference & Expo, Baltimore, MD, USA, September, 2019.
      6. Hong JE, Votion J, Cao Y, Jin YF, Adaptive Communication and Control Co-Design for Multi-Agent Coordination with Second-Order Dynamics, American Control Conference, Philadelphia, USA, July 2019.
      7. Jin YF, An Q, Qian C, Ramirez R*, Nelson R, Improve Engineering Student Engagement through In-Class and Out-Class Interactions, ASEE GSW Annual meeting, Balor, March 2019.
      8. Applonie R*, Jin YF, A Novel Steering Control for Car-Like Robots Based on Lyapunov Stability, American Control Conference, Philadelphia, USA July 2019.
      9. Jin, YF*, Yuen T, Garcia S, Nelson T, Jin R, Establishing Feedback Loop in an Electrical Engineering Core Course Using Adaptive Release. Salt Lake City: ASEE Annual Meeting, July 2018.
      10. Jin, YF, Training Students for Critical Thinking in an Electrical Engineering Core Course. ASEE GSW Annual meeting, Austin Apr 2018.
      11. Ranjbar, S*, Jin YF. An innovative passive computer vision solution for flexible cystoscopic image reconstruction. SPIE Photonics West Conference, Therapeutics and Diagnostics in Urology, 2018.
      12. Donahue K*., Jin YF, Zhao S., Ahmed S., Adaptive Estimation of Higher Order Harmonics from Voltage Source Inverters, International Conference on Systems and Informatics, Hangzhou, China, Novermber, 2017.
      13. Liu, R.*, Qian, C., Jin, YF, “Observability and sensor allocation for Boolean networks”, IEEE proceeding on American Control Conference, Seattle, Washington, USA, May 2017.