Teaching

Courses

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

Mohammad Shokri

(from Summer 2020 to present)

(co-advised with Laura Ferranti)

Delft Center for Systems and Control,

Delft University of Technology

Doctoral students

Max Sibeijn

(expected graduation Fall 2026)

Ph.D. in Systems and Control, Delft University of Technology

(co-advised with Tamás Keviczky)

Thesis Topic

Distributed control of heating plants

Jingwei Dong

(expected graduation Spring 2023)

Ph.D. in Systems and Control, Delft University of Technology

(co-advised with Peyman Mohajerin Esfahani)

Thesis Topic

Robust Fault Detection and Identification

Qi Cao

(expected graduation Fall 2023)

Ph.D. in Electrical, Computer & Systems Engineering, University Southern California

(co-advised with Paul Bogdan)

Thesis Topic

Spatiotemporal properties and characteristics of neural data

Highlights

  • 2020 Industrial and Systems Engineering at Rensselaer Polytechnic Institute Graduate Research Award

[website]

Emily Reed

(expected graduation Spring 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]

M.Sc. students

Luca de Laat

(expected graduation May 2023)

M.Sc. in Systems and Control

Delft University of Technology

Topic

Neuron-Glia Interaction: A Fractional modelling and control approach


Femke van Engen

(expected graduation September 2022)

M.Sc. in Systems and Control

Delft University of Technology

Topic

A dynamic systems approach for studying meditation


Halithan Cetin

(expected graduation September 2022)

M.Sc. in Systems and Control

Delft University of Technology

Topic

Closed-loop control of smart digestible medical pills


Alumni

Postdoctoral researchers

Guilherme Ramos

(From Spring 2020 to Fall 2021)

Department of Electrical and Computer Engineering,

Faculdade de Engenharia, University of Porto

(co-advised with A. Pedro Aguiar)

[website]

Doctoral students

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

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

Output selection for large-scale structural systems: a matroid theory approach

B.Sc. students

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)