We are always looking for highly motivated students, researchers, and visiting scholars with a strong mathematical background and interest in control, optimization, and learning systems. If interested, please reach out at poveda@ucsd.edu  For more information about admissions to UCSD please click this link.

11/2023: Our paper "Multi-Time Scale Control and Optimization via Singular Perturbations and Averaging Theory: From ODEs to Hybrid Dynamical Systems" was accepted in Annual Reviews in Control.

07/2023: New project with NREL on Hybrid Control of Power Grids.

06/2023: New project with Sandia National Laboratories on Game-Theoretic Control of Power Grids.

06/2023: Joined the Editorial Board (as Associate Editor) of the journal IEEE Control Systems Letters (LCSS).

06/2023: Big congrats to Mahmoud Abdelgalil for receiving the Best Student Paper award at the 2023 American Control Conference!

06/2023: Honored to receive the 2023 Donald P. Eckman Award from the American Automatic Control Council.

05/2023: Co-organized a workshop at the 2023 American Control Conference on recent advances of Model-Free Equilibrium Seeking Control. 

03/2023: New NSF project on Fixed-Time Equilibrium-Seeking Control.

03/2023: Two papers accepted at the 2023 IFAC World Congress.

02/2023: Our paper "Control Systems for Low-Inertia Power Grids: A Survey on Virtual Power Plants" appeared in the journal IEEE Access.

02/2023: Our paper "High-Order Decentralized Pricing Dynamics for Congestion Games: Harnessing Coordination to Achieve Acceleration", was accepted for publication at the 2023 American Control Conference.

02/2023: Joined the Editorial Board (as Associate Editor) of IFAC journal Nonlinear Analysis: Hybrid Systems (NAHS).

01/2023: New project with Sandia National Laboratory on coordinated control systems for virtual power plants.

01/2023: Joined the IEEE Technical Committee on Hybrid Systems.

12/2022: Our paper "A Stochastic Binary Vertex-Triggering Resetting Algorithm for Global Synchronization of Pulse-Coupled Oscillators" was accepted in IEEE Transactions on Control of Network Systems.

12/2022: Selected as Excellent Reviewer for the AIAA Journal of Guidance, Control, and Dynamics.

10/2022: Invited talk at Allerton Conference on stochastic hybrid decision-making algorithms.

07/2022: Two papers accepted at the 61st IEEE Conference on Decision and Control.

07/2022: Our paper "Online Optimization of Switched LTI Systems Using Continuous-Time and Hybrid Accelerated Gradient Flows" was accepted in Automatica.

07/2022: Our paper "High-Performance Optimal Incentive Seeking for Transactive Control of Traffic Congestion" was accepted in the European Journal of Control. 

07/2022: Joined the Conference Editorial Board (as Associate Editor) of IEEE CSS.

07/2022: Joined the ECE department at UC San Diego.

04/2022: Daniel Ochoa (Ph.D. student) was selected to participate in the 2022 CPS Rising Stars Workshop.

03/2022: Our paper "Accelerated Continuous-Time Approximate Dynamic Programming via Data-Assisted Hybrid Control" was accepted in the 14th IFAC International Workshop on Adaptive and Learning Control Systems.

03/2022: Our paper "Novel Use of Online Optimization in a Mathematical Model of COVID-19 to Guide the Relaxation of Pandemic Mitigation Measures" was accepted in Nature Scientific Reports. 

03/2022: Our paper "Sliding-Seeking Control: Model-Free Optimization with Hard Constraints" was accepted in the Learning for Dynamics and Control Conference (L4DC). 

02/2022: Two papers accepted in the American Control Conference.  

02/2022: Received NSF Early Career (CAREER) award.

12/2021: Our IEEE CDC paper "Safe Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods" won the Outstanding Student Paper Award and was a finalist for the Best Student Paper Award.

11/2021: Selected as a 2022 RIO Faculty Fellow at CU Boulder.

11/2021: Received AFOSR Young Investigator Program award.

08/2021: Our paper "Time-Varying Optimization of LTI Systems via Projected Primal-Dual Gradient Flows" was accepted in IEEE Transactions on Control of Network Systems.

07/2021:  Three papers accepted in the 60th IEEE Conference on Decision and Control. 

05/2021: Our paper "Scalable Resetting Algorithms for Synchronization of Pulse-Coupled Oscillators over Rooted Directed Graphs" was accepted in Automatica.

04/2021: Received the 2020 CCDC Best Ph.D. Thesis Award from UC Santa Barbara.

04/2021: Short press release published here.

04/2021: Our work "Computation-Aware Distributed Optimization over Networks: A Hybrid Dynamical Systems Approach" was presented at the 2021 CPS IoT Week workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems .

03/2021: Received RIO Seed Grant on Control, Game Theory, and Multi-Vehicle Systems. Co-PIs: Xudong Chen and Eric Frew.

03/2021: Our paper "Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Non-smooth ODEs" was accepted in the 2021 Learning For Dynamics and Control (L4DC) Conference.

02/2021: Patent granted on Robust Source Seeking and Formation Learning-based Controllers. 

02/2021: Our paper "Non-Smooth Extremum Seeking Control with User-Prescribed Fixed-Time Convergence" was accepted in IEEE Transactions on Automatic Control.

01/2021: Our paper "Coordinated Hybrid Source Seeking with Robust Obstacle Avoidance in Multi-vehicle Autonomous Systems" was accepted in IEEE Transactions on Automatic Control.

01/2021: Two papers accepted at the 2021 American Control Conference.

12/2020: Our paper titled "Extremum Seeking Under Persistent Gradient Deception: A Switching Systems Approach" was accepted in IEEE Control Systems Letters. 

12/2020: Our paper titled "Excitation Conditions for Uniform Exponential Stability of the Cooperative Gradient Algorithm over Weakly Connected Digraphs" was accepted in IEEE Control Systems Letters. 

11/2020: AB Nexus Research Collaboration Grant awarded. PI: E. Dall'Anese, Co-PIs: A. Buchwald, and JIP. 

11/2020: Presented our work  Distributed Accelerated Optimization Algorithms with Distributed Restarting at the 2020  NeurIPS Workshop (LXAI).

10/2020: Joined the IFAC Technical Committee in Adaptive and Learning Systems.

09/2020: Our paper "Robust Hybrid Zero-Order Optimization Algorithms with Acceleration via Averaging in Time"   was accepted in Automatica. 

09/2020: Our paper "Data-Enabled Extremum Seeking: A Cooperative Concurrent Learning-Based Approach", was accepted for in International Journal of Adaptive Control and Signal Processing. 

06/2020: Two papers accepted in the 2020 IEEE Conference on Decision and Control. 

05/2020: Our paper "Robust Optimization over Networks Using Distributed Restarting of Accelerated Dynamics" was accepted for publication in IEEE Control Systems Letters. 

04/2020: Our survey paper on learning-based multi-agent hybrid systems was one of the most downloaded papers of 2019 in International Journal of Adaptive Control and Signal Processing.

02/2020: Received  NSF Research Initiation Initiative (CRII) award.

02/2020: Our paper "A Newton-Like Extremum Seeking Controller with Practical Fixed-Time Convergence" was accepted in the 2020  IFAC World Congress.

01/2020: 2 papers have been accepted at the 2020 American Control Conference!

01/2020: I will be teach in the 2020-Spring Semester the research-based course ECEN 5018 Hybrid Dynamical Systems: Theory and Applications. Check the syllabus here. 

08/2019: Received ASIRT grant "Coopetitive Mobile Energy Network Systems: Achieving Robust Decentralized Autonomy via Data-Driven Intelligent Algorithms and Interacting Architectures". Co-Pi's: E. Dall'Anese, D. Maksimovic, and L. Pao.

08/2019: I will teach in the Fall Semester the research-based course ECEN 5008 Adaptive Control and Reinforcement Learning.

07/2019:  5 papers accepted in the 58th IEEE Conference on Decision and Control.

07/2019: Attended the NSF-cosponsored workshop on Control for Networked Transportation Systems (CNTS), in Philadelphia, PA.

05/2019:  2 papers accepted in the 11th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2019).

01/2019: I will be teaching in the 2019-Spring Semester the research-based course ECEN 5018 Hybrid Dynamical Systems: Theory and Applications.

02/2019: New paper published in International Journal of Adaptive Control and Signal Processing. A survey on learning-based multi-agent hybrid systems.

01/2019: New paper published in Automatica on hybrid mechanisms for robust synchronization and coordination of multi-agent networked sampled-data systems.

01/2019: Joined the ECEE Department of the University of Colorado Boulder as an Assistant Professor.