Publications

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Selected Publications

Journal Articles

[J23] Hajiahmadi, F., Jafari, M., & Reyhanoglu, M. (2024). Machine Learning-Based Control of Autonomous Vehicles for Solar Panel Cleaning Systems in Agricultural Solar Farms, AgriEngineering, 6(2), 1417-1435.

[J22] Marquez, G., Dechiraju, H., Baniya, P., Li, H., Tebyani, M., Pansodtee, P., Jafari, M., Barbee, A., Orozco, J., Teodorescu M., Rolandi, M., & Gomez, M. (2023). Delivering biochemicals with precision using bioelectronic devices enhanced with feedback control, PLoS ONE, 19(5), e0298286.

[J21] Jafari, M., Reyhanoglu, M., & Kozhabek, Z. (2023). Simple Learning-Based Robust Nonlinear Control of an Electric Pump for Liquid-Propellant Rocket Engines, Electronics, 12(16), 3527.

[J20] Jafari, M., Marquez, G., Dechiraju, H., Gomez, M., & Rolandi, M. (2023). Merging machine learning and bioelectronics for closed-loop control of biological systems and homeostasis, Cell Reports Physical Science, 4(8), 101535.

[J19] Reyhanoglu, M., & Jafari, M. (2023). A Simple Learning Approach for Robust Tracking Control of a Class of Dynamical Systems, Electronics, 12(9), 2026.

[J18] Zlobina, K., Jafari, M., M., Rolandi, M., & Gomez, M. (2022). The role of machine learning in advancing precision medicine with feedback control, Cell Reports Physical Science, 3(11), 101149.

[J17] Reyhanoglu, M., Jafari, M., & Rehan, M. (2022). Simple Learning-Based Robust Trajectory Tracking Control of a 2-DOF Helicopter System, Electronics, 11(13), 2075.

[J16] Sargent, B., Jafari, M., Marquez, G., Mehta, A., Sun, Y., Yang, H.Y., Zhu, K., Isseroff, R.R., Zhao, M., & Gomez, M. (2022). A machine learning based model accurately predicts cellular response to electric fields in multiple cell types, Scientific Reports, 12, 9912.

[J15] Jia, M., Jafari, M., Pansodtee, P., Teodorescu, M., Gomez, M., & Rolandi, M. (2022). A multi-ion electrophoretic pump for simultaneous on-chip delivery of H+, Na+, and Cl−, APL Materials, 10(4), 041112.

[J14] Carrión, H., Jafari, M., Bagood, M. D., Yang, H. Y., Isseroff, R. R., & Gomez, M. (2022). Automatic wound detection and size estimation using deep learning algorithms, PLOS Computational Biology, 18(3), e1009852.

[J13] Hosseini Jafari, B., Zlobina, K., Marquez, G., Jafari, M., Selberg, J., Jia, M., Rolandi, M., & Gomez, M. (2021). A feedback control architecture for bioelectronic devices with applications to wound healing, Journal of the Royal Society Interface, 18(185), 20210497.

[J12] Pansodtee, P., Selberg, J., Jia, M., Jafari, M., Dechiraju, H., Thomsen, T., Gomez, M., Rolandi, M., & Teodorescu, M. (2021). The multi-channel potentiostat: Development and evaluation of a scalable mini-potentiostat array for investigating electrochemical reaction mechanisms, PLoS ONE, 16(9), e0257167.

[J11] Selberg, J., Jafari, M., Bradley, C., Gomez, M., & Rolandi, M. (2020). Expanding biological control to bioelectronics with machine learning, APL Materials, 8(12), 120904.

[J10] Selberg, J., Jafari, M., Mathews, J., Jia, M., Pansodtee, P., Dechiraju, H., Wu, C., Cordero, A., Flora, A., Yonas, N., Jannetty, S., Diberardinis, M., Teodorescu, M., Levin, M., Gomez, M., & Rolandi, M. (2020). Machine Learning Driven Bioelectronics for Closed-loop Control of Cells, Advanced Intelligent Systems, 2(12), 2000140.

[J9] Jafari, M., Marquez, G., Selberg, J., Jia, M., Dechiraju, H., Pansodtee, P., Teodorescu, M., Rolandi, M., & Gomez, M. (2021). Feedback Control of Bioelectronic Devices Using Machine Learning, IEEE Control Systems Letters 5(4), 1133-1138.

[J8] Jafari, M., Xu, H., & Garcia Carrillo, L. R. (2020). A biologically-inspired reinforcement learning based intelligent distributed flocking control for Multi-Agent Systems in presence of uncertain system and dynamic environment, IFAC Journal of Systems and Control, 13, 100096.

[J7] Jafari, M., Ghasemkhani, A., Sarfi, V., Livani, H., Yang, L., & Xu, H. (2019). Biologically inspired adaptive intelligent secondary control for MGs under cyber imperfections. IET Cyber-Physical Systems: Theory & Applications, 4(4), 341-352.

[J6] Jafari, M., & Xu, H. (2019). A biologically-inspired distributed fault tolerant flocking control for multi-agent system in presence of uncertain dynamics and unknown disturbance. Engineering applications of artificial intelligence, 79, 1-12.

[J5] Jafari, M., Xu, H., & Garcia Carrillo, L. R. (2019). A neurobiologically-inspired intelligent trajectory tracking control for unmanned aircraft systems with uncertain system dynamics and disturbance. Transactions of the Institute of Measurement and Control, 41(2), 417-432.

[J4] Jafari, M., & Xu, H. (2018). Biologically-inspired intelligent flocking control for networked multi-UAS with uncertain network imperfections. Drones, 2(4), 33.

[J3] Jafari, M., & Xu, H. (2018). Intelligent control for unmanned aerial systems with system uncertainties and disturbances using artificial neural network. Drones, 2(3), 30.

[J2] Nourmohammadi, A., Jafari, M., & Zander, T. O. (2018). A survey on unmanned aerial vehicle remote control using brain–computer interface. IEEE Transactions on Human-Machine Systems, 48(4), 337-348.

[J1] Nguyen, T., La, H. M., Le, T. D., & Jafari, M. (2017). Formation control and obstacle avoidance of multiple rectangular agents with limited communication ranges. IEEE Transactions on Control of Network Systems, 4(4), 680-691.

Conference Papers (FULL-PAPER-REFEREED)

[C27] Carrión, H., Jafari, M., Yang, H. Y., Isseroff, R. R., Rolandi, M., Gomez, M., & Norouzi, N. (2022). HealNet - Self-supervised Acute Wound Heal-Stage Classification, In Machine Learning in Medical Imaging (pp. 446-455). Springer, Cham.

[C26] Vakilinia, I., Jafari, M., Tosh, D., & Vakilinia, S. (2020, October). Privacy Preserving Path Planning in an Adversarial Zone. In 2020 International Symposium on Networks, Computers and Communications (ISNCC) (pp. 1-6). IEEE.

[C25] Jafari, M., & Gomez, M. (2019, December). Online machine learning based controller for coupled tanks systems. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 163-169). IEEE.

[C24] Marquez, G., Johnson, B., Jafari, M., & Gomez, M. (2019, December). Online machine learning based predictor for biological systems. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 120-125). IEEE.

[C23] Jafari, M., Sarfi, V., Ghasemkhani, A., Livani, H., Yang, L., & Xu, H. (2019, August). Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning. In 2019 IEEE Power & Energy Society General Meeting (pp. 1-5). IEEE. PDF

[C22] Jafari, M., Xu, H., & Carrillo, L. R. G. (2018, November). Brain emotional learning-based path planning and intelligent control co-design for unmanned aerial vehicle in presence of system uncertainties and dynamic environment. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1435-1440). IEEE.

[C21] Jafari, M., & Xu, H. (2018, November). A game theoretic based biologically-inspired distributed intelligent flocking control for multi-uav systems with network imperfections. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1138-1144). IEEE.

[C20] Jafari, M., & Xu, H. (2018, June). A biologically-inspired distributed intelligent flocking control for networked multi-uas with uncertain network imperfections. In 2018 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 15-21). IEEE.

[C19] Jafari, M., & Xu, H. (2018, June). Adaptive neural network based intelligent control for unmanned aerial systems with system uncertainties and disturbances. In 2018 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1010-1016). IEEE.

[C18] Jafari, M., Sarfi, V., Ghasemkhani, A., Livani, H., Yang, L., Xu, H., & Koosha, R. (2018, February). Adaptive neural network based intelligent secondary control for microgrids. In 2018 IEEE Texas Power and Energy Conference (TPEC) (pp. 1-6). IEEE.

[C17] Jafari, M., & Xu, H. (2017). A biologically-inspired intelligent controller for distributed velocity control of multiple electro-hydraulic servo-systems. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1-7). IEEE.

[C16] Jafari, M., & Xu, H. (2017, September). A biologically-inspired distributed resilient flocking control for multi-agent system with uncertain dynamics and unknown disturbances. In 2017 Resilience Week (RWS) (pp. 71-76). IEEE.

[C15] Jafari, M., Fehr, R., Carrillo, L. R. G., Quesada, E. S. E., & Xu, H. (2017, July). Implementation of brain emotional learning-based intelligent controller for flocking of multi-agent systems. IFAC-PapersOnLine, 50(1), 6934-6939.

[C14] Fehr, R., Boles, K., Jafari, M., Xu, H., & Carrillo, L. R. G. (2017, June). A low-computation distributed connectivity control for coordinated multi-uas. In 2017 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1181-1188). IEEE.

[C13] Jafari, M., Fehr, R., Carrillo, L. R. G., & Xu, H. (2017, June). Brain emotional learning-based intelligent tracking control for unmanned aircraft systems with uncertain system dynamics and disturbance. In 2017 International conference on unmanned aircraft systems (ICUAS) (pp. 1470-1475). IEEE.

[C12] Jafari, M., Xu, H., & Carrillo, L. R. G. (2017, May). Brain emotional learning-based intelligent controller for flocking of multi-agent systems. In 2017 American Control Conference (ACC) (pp. 1996-2001). IEEE.

[C11] Samadi, H., & Jafari, M. (2016,May). Detecting Assembled Workpieces to Sort According to Color by Mitsubishi RV-2AJ Robot and Festo Sorting Station Based on Industrial Networks. In 2016 1st International Conference on New Research Achievements in Electrical and Computer Engineering (ICNRAECE) (pp. 1-6). IEEE.

[C10] Hasanpour, A., Daemy, P., Aghazamani, M., Alipour, K., & Jafari, M. (2016, January). Kinematic analysis of Darwin's humanoid robot. In 2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA) (pp. 356-361). IEEE.

[C9] Jafari, M., Sengupta, S., & La, H. M. (2015, December). Adaptive flocking control of multiple unmanned ground vehicles by using a uav. In International Symposium on Visual Computing (pp. 628-637). Springer, Cham.

[C8] Nguyen, T., La, H. M., & Jafari, M. (2015, June). On the formation control of a multi vehicle system. In ISSAT International Conference on Modeling of Complex Systems and Environments.

[C7] Hajimani, M., Gholami, M., Dashti, Z. A. S., Jafari, M., & Shoorehdeli, M. A. (2014, February). Neural adaptive controller for magnetic levitation system. In 2014 Iranian Conference on Intelligent Systems (ICIS) (pp. 1-6). IEEE.

[C6] Dashti, Z. A. S., Jafari, M., Gholami, M., & Shoorehdeli, M. A. (2014, February). Neural—Adaptive control based on backstepping and feedback linearization for electro hydraulic servo system. In 2014 Iranian Conference on Intelligent Systems (ICIS) (pp. 1-6). IEEE.

[C5] Jafari, M., Shahri, A. M., & Elyas, S. H. (2013, October). Optimal tuning of brain emotional learning based intelligent controller using clonal selection algorithm. In ICCKE 2013 (pp. 30-34). IEEE.

[C4] Dashti, Z. A. S., Jafari, M., Gholami, M., Shoorehdeli, M. A., & Teshnehlab, M. (2013, August). Speed control of a Digital Servo System using parallel distributed compensation controller and Neural Adaptive controller. In 2013 13th Iranian Conference on Fuzzy Systems (IFSC) (pp. 1-6). IEEE.

[C3] Jafari, M., Shahri, A. M., & Shouraki, S. B. (2013, August). Attitude control of a quadrotor using brain emotional learning based intelligent controller. In 2013 13th Iranian Conference on Fuzzy Systems (IFSC) (pp. 1-5). IEEE.

[C2] Jafari, M., & Shuraki, S. B. (2013, February). Speed control of a digital servo system using brain emotional learning based intelligent controller. In 4th Annual International Power Electronics, Drive Systems and Technologies Conference (pp. 311-314). IEEE.

[C1] Jafari, M., Ebrahimi, I. D., Torabi, A., & Karimi, M. (2012, May). Using hopfield neural network for password authentication. In Proceedings of the Regional Conference on Computer Engineering, Knowledge & Information Technology (In Persian).

Thesis and Dissertation

[D1] Jafari, M. (2018). Distributed Control Of Multi-Agent Systems Using Biologically-Inspired Reinforcement Learning (Doctoral dissertation).

[T2] Jafari, M. (2015). On the cooperative control and obstacle avoidance of multi-vehicle systems (Master's thesis).

[T1] Jafari, M. (2012). Controlling a Quadrotor Using Brain Emotional Learning Based Intelligent Controller (Master's thesis).