Teaching
Courses
Great Ideas in Learning & Control Theory - Fall 2023 (Q2)
Instructor (Lectures),
Uppsala University
Automatic Control II - Fall 2023 (Q1)
Instructor (Lectures),
Uppsala University
Automatic Control II - Spring 2023 (Q4)
Instructor (Lectures),
Uppsala University
Automatic Control II - Fall 2022 (Q1)
Instructor (Exercise sessions),
Uppsala University
Signaalanalyse (WB2235) - Spring 2022 (Q3)
Instructor,
Delft University of Technology
Undergraduate Research Program - Fall 2022
Student Mentor,
Delft University of Technology
Signaalanalyse (WB2235) - Spring 2021 (Q3)
Instructor,
Delft University of Technology
Undergraduate Research Program - Fall 2019
Student Mentor,
Rensselaer Polytechnic Institute
Time Series Analysis (ISYE 6100) - Fall 2019
Instructor,
Rensselaer Polytechnic Institute
Undergraduate Research Program - Spring 2019
Student Mentor,
Rensselaer Polytechnic Institute
Undergraduate Research Program - Fall 2018
Student Mentor,
Rensselaer Polytechnic Institute
Introduction to Cyber-Physical Systems (ISYE 4960/6960) - Fall 2018
Instructor,
Rensselaer Polytechnic Institute
Undergraduate Research Program - Spring 2018
Student Mentor,
Rensselaer Polytechnic Institute
Systems Modeling in Decision Sciences (ISYE 6610) - Spring 2018
Instructor,
Rensselaer Polytechnic Institute
Operations Research Method (ISYE 4600) - Spring 2018
Instructor,
Rensselaer Polytechnic Institute
Undergraduate Research Program - Fall 2017
Student Mentor,
Rensselaer Polytechnic Institute
Time Series Analysis (ISYE 6100) - Fall 2017
Instructor,
Rensselaer Polytechnic Institute
Undergraduate Research Project - Spring 2017
Student Mentor,
University of Pennsylvania
Undergraduate Research Project - Spring 2016
Student Mentor,
University of Pennsylvania
Large Scale Stochastic Adaptive Systems (18-799 PP/R) - Fall 2012
Teaching Assistant,
Carnegie Mellon University
Linear Systems (18/24-771 A) - Fall 2011
Teaching Assistant,
Carnegie Mellon University
Nonlinear Control System (18-879 T/PR) - Spring 2011
Teaching Assistant,
Carnegie Mellon University & Instituto Superior Técnico
Students
Ongoing
Postdoctoral researchers
Doctoral students
Alessandro Varalda
(expected graduation Fall 2028)
Ph.D. in Automatic Control, Uppsala University
(co-advised with André M. H. Teixeira)
Thesis Topic
Closing the loop in real-time cyber-neural systems
Max Sibeijn
(expected graduation Fall 2026)
Ph.D. in Systems and Control, Delft University of Technology
(co-advised with Tamás Keviczky and Mohammad Khosravi)
Thesis Topic
Distributed control of heating plants
Master-level Research Project
Andrei Lixandru
(Graduation September 2023)
M.Sc. in Computer Science
Radboud University (jointly advised with Marcel van Gerven)
Topic
Distributed Fractional-PID Optimization - From theory to practice
Alumni
Postdoctoral researchers
Mohammad Shokri
(from Summer 2021 to Summer 2023)
(co-advised with Laura Ferranti)
Delft Center for Systems and Control,
Delft University of Technology
Guilherme Ramos
(From Spring 2020 to Fall 2022)
Department of Electrical and Computer Engineering,
Faculdade de Engenharia, University of Porto
(co-advised with A. Pedro Aguiar)
[website]
Doctoral students
Jingwei Dong
(Graduation Fall 2023)
Ph.D. in Systems and Control, Delft University of Technology
(co-advised with Peyman Mohajerin Esfahani)
Thesis Topic
Optimization-based Approaches for Fault Detection and Estimation with applications to health-monitoring of energy systems
Emily Reed
(Graduated Summer 2023)
Ph.D. in Electrical, Computer & Systems Engineering, University Southern California
(co-advised with Paul Bogdan)
Thesis Topic
Cyber-fractional systems and their applications in epilepsy
Highlights
Best Student Paper Award Finalist, IEEE Engineering in Medicine and Biology, July 2020
USC Women in Science and Engineering Leadership Award April 21, 2022
USC Women in Science and Engineering Qualcomm Top-Off Fellowship August 2020 - May 2021
USC Ethical Decision Making Campus-wide Student Competition Award Winner April 2019
National Science Foundation Graduate Research Fellowship, September 2019 - September 2022
National Defense Science & Engineering Graduate Fellowship (Declined Award)
USC Annenberg Fellowship, August 2017 - May 2021
USC Women in Science and Engineering Top-Off Fellowship, August 2017 - May 2019
[website]
Sarthak Chatterjee, Ph.D
(Graduated Summer 2021)
Ph.D. in Electrical, Computer & Systems Engineering, Rensselaer Polytechnic Institute
Thesis Topic
Analysis and Design of Closed-loop Fractional-order Systems and its Applications to Neurotechnology
Highlights
Professor Howard Kaufman ’62 Memorial Fellowship
Allen B. DuMont prize from the Department of Electrical, Computer, and Systems Engineering (ECSE), Rensselaer Polytechnic Institute. The award is given annually to an ECSE graduate student who has demonstrated high scholastic ability and has made a substantial contribution to that field.
[website]
Visiting students
Matilde Farinha
(from February to May 2019)
Industrial and Systems Engineering Department, Rensselaer Polytechnic Institute
Topic
Complete Directed Graph Equilibrium Propagation: Searching for a Biologically Plausible Model for Neural Networks
[website]
Pedro Ferreira
(from February to May 2019)
Industrial and Systems Engineering Department, Rensselaer Polytechnic Institute
Topic
The Fall of Homo Economicus: The Role of Cognitive Biases and Theory of Mind in Human Coordination
[website]
Master research projects mentored
João Carvalho
(co-advised with A. Pedro Aguiar, 2015)
Topic
Distributed Verification of Structural Controllability
[website]
Jingqi Li
(co-advised with Ximing Chen, Victor Preciado and George Pappas, 2019)
Topic
A structural approach to the control, design, and analysis of networked dynamical systems
[website]
M.Sc. students
Hassan Soltani
(Graduation September 2023)
M.Sc. in Electrical Engineering
Uppsala University
Topic
Design, analysis and applications of fractional proportional-integrative-derivative controller
Rana Faheem Iftikhar
(Graduation June 2023)
M.Sc. in Computer and Information Engineering (Embedded Systems)
Uppsala University
Topic
Stabilization of Multi-Hop Control Networks Subject to Malicious Attacks
Halithan Cetin
(Graduated April 2023)
M.Sc. in Systems and Control
Delft University of Technology
Topic
Closed-loop control of smart digestible medical pills
Femke van Engen
(Graduated December 2022)
M.Sc. in Systems and Control
Delft University of Technology
Topic
A dynamic systems approach for studying meditation
Mahalakshmi Sathyanarayanan
(graduated November 2021)
M.Sc. in Systems and Control
Delft University of Technology
Topic
A systems approach for monitoring anesthesia
Hubald Verzijl
(graduated October 2021)
M.Sc. in Systems and Control, jointly with M.Sc. in Technical Medicine
Delft University of Technology
Topic
Fractional-Order model predictive control applied to electrical neurostimulation in pain treatment
Max Sibeijn
(graduated September 2021)
M.Sc. in Systems and Control
Delft University of Technology
Topic
A time-reversed model selection approach for time-series forecasting
Ishita Rai Bansal
(graduated July 2021)
M.Sc. in Systems and Control
Delft University of Technology
Topic
Spatiotemporal model-based filtering of resting-state blood-oxygen-level-dependent signal
Orlando Romero
(graduated August 2020)
M.Sc. in Industrial and Management Engineering
Industrial and Systems Engineering Department, Rensselaer Polytechnic Institute
Topic
Optimal sensor and actuator selection: algorithms and performance guarantees
[website]
Pedro Rocha
(co-advised with A. Pedro Aguiar and Paula Rocha, graduated October 2014)
M.Sc. in Electrical and Computer Engineering
Faculty of Engineering, University of Porto
Topic
Output selection for large-scale structural systems: a matroid theory approach
Guilherme Ramos
(co-advised with A. Pedro Aguiar, graduated December 2013)
M.Sc. in Applied Mathematics
Faculty of Engineering, University of Porto
Topic
Structural hybrid systems
B.Sc. students
Sam Siamak Farkhooi
(Spring 2023)
B.Sc. in Mathmatics
Uppsala University
Topic
Control perspective on distributed optimization
Obbe J. Ordelman
(Fall 2021)
B.Sc. in Mechanical Engineering
Delft University of Technology
Topic
Optimization of lunar lander control system using reinforcement learning
Femke de Ridder
(Fall 2021)
B.Sc. in Mechanical Engineering
Delft University of Technology
Topic
Optimization of lunar lander control system using reinforcement learning
Rens van der Geest
(Fall 2021)
B.Sc. in Mechanical Engineering
Delft University of Technology
Topic
Optimization of lunar lander control system using reinforcement learning
Marc Blom
(Fall 2021)
B.Sc. in Mechanical Engineering
Delft University of Technology
Topic
Optimization of lunar lander control system using reinforcement learning
Rik de Haan
(Fall 2021)
B.Sc. in Mechanical Engineering
Delft University of Technology
Topic
Optimization of lunar lander control system using reinforcement learning
Andrew Chafy
(from Fall 2019 to Summer 2020)
B.Sc. in Mechanical Engineering
Rensselaer Polytechnic Institute
Topic
Controlling Lego-Robots using brainwave predictions
Chuizheng Kong
(from Spring 2018 to Summer 2020)
B.Sc. in Mechanical Engineering
Rensselaer Polytechnic Institute
Topic
Quantifying Alertness
(in collaboration with Lighting Research Center)
Ana Gabriela Duque
(from Fall 2018 to Fall 2020)
B.Sc. in Industrial and Systems Engineering
Rensselaer Polytechnic Institute
Topic
Re-thinking fast-fashion industry and materials towards sustainability
(co-Advised with Prof. Jennifer Pazour)
Aleisha Ramos
(from Fall 2019)
B.Sc. in Industrial and Systems Engineering
Rensselaer Polytechnic Institute
Topic
Re-thinking statistics in engineering programs -- Introduction to data science in engineering
Sami Laput
(from Fall 2019)
B.Sc. in Industrial and Systems Engineering
Rensselaer Polytechnic Institute
Topic
Re-thinking statistics in engineering programs -- Introduction to data science in engineering
Danielle Rodriguez
(from Fall 2018, and Fall 2019)
B.Sc. in Industrial and Systems Engineering
Rensselaer Polytechnic Institute
Topic
Re-thinking statistics in engineering programs -- Introduction to data science in engineering
John Kongtcheu
(from Fall 2019)
B.Sc. in Electrical and Computer Engineering
Rensselaer Polytechnic Institute
Topic
Developing new prediction schemes for brain-computer interfaces
Sarah Haslam
(Fall 2018)
B.Sc. in Electrical and Computer Engineering
Rensselaer Polytechnic Institute
Topic
Assessing Epilepsy Dynamics
Daniel Cellic
(Fall 2018)
B.Sc. in Chemical Engineering
Rensselaer Polytechnic Institute
Topic
Modeling and Control using Bifurcation Theory
Tianrui (Elizabeth) Wang
(Spring 2018)
B.Sc. in Bioinformatics and Molecular Biology
Rensselaer Polytechnic Institute
Topic
Structural and functional dependencies in Alzheimer's disease
Emily Stiklickas
(Fall 2017)
B.Sc. in Biomedical Engineering
Rensselaer Polytechnic Institute
Topic
Insights on Neurotechnology from a CPS perspective
Brianna Gallo
(Fall 2016)
B.Sc. in Electrical and Systems Engineering
University of Pennsylvania
Topic
A data-driven coupled Epileptor: quantifying the qualitative behavior of epileptic seizures
(co-advised with George J. Pappas)
Colin Luzzi
(Fall 2015)
B.Sc. in Electrical and Systems Engineering
University of Pennsylvania
Topic
On the interplay between micro-mesoscopic dynamic epileptic networks
(co-advised with George J. Pappas)
Rachel Warren
(Fall 2015)
B.Sc. in Electrical and Systems Engineering
University of Pennsylvania
Topic
A data-driven coupled Epileptor: quantifying the qualitative behavior of epileptic seizures
(co-advised with George J. Pappas)