We are looking for new PhD students, Postdocs, and Master students to join the team (see openings) !
Associate Professor, Lab Director
André Teixeira is an Associate Professor at the Division of Systems and Control, Department of Information Technology, Uppsala University, Sweden. He received the M.Sc. degree in electrical and computer engineering from the Faculdade de Engenharia da Universidade do Porto, Porto, Portugal, in 2009, and the Ph. D. degree in automatic control from the KTH Royal Institute of Technology, Stockholm, Sweden, in 2014. From 2014 to 2015, he was a Postdoctoral Researcher at the Department of Automatic Control, KTH Royal Institute of Technology, Stockholm, Sweden. From October 2015 to August 2017, Teixeira was an Assistant Professor in Cybersecurity of Critical Infrastructures at the Faculty of Technology, Policy and Management, Delft University of Technology, The Netherlands. From September 2017 to April 2021, he was an Assistant Professor at the Department of Electrical Engineering at Uppsala University. Teixeira was a recipient for the Best Student-Paper Award from the IEEE Multi-Conference on Systems and Control in 2014, and an Honorable Mention for the Paul M. Frank Award at the IFAC SAFEPROCESS 2018. He was awarded a Starting Grant by the Swedish Research Council in 2018, and he is among the 20 young researchers in Sweden who received the Future Research Leaders 7 grant by the Swedish Foundation for Strategic Research in 2020. He was awarded the Lilly and Sven Thuréus prize in 2023 by The Royal Society of Sciences at Uppsala. In 2023, André was appointed as a Wallenberg Academy Fellow by the Knut and Alice Wallenberg Foundation.
Sérgio Pequito is an associate professor in automatic control in the Department of Information Technology, at Uppsala University. Pequito’s research consists of understanding the global qualitative behavior of large-scale systems from their structural or parametric descriptions and provides a rigorous framework for the design, analysis, optimization, and control of large-scale systems. His interests span neuroscience and biomedicine, where dynamical systems and control theoretic tools can be leveraged to develop new analysis tools for brain dynamics toward effective personalized medicine and improve bidirectional interfaces. Pequito was awarded the best student paper finalist in the 48th IEEE Conference on Decision and Control (2009) and the 2016 O. Hugo Schuck Award in the Theory Category by the American Automatic Control Council.
Salman Toor is an Associate Professor at the Division of Scientific Computing, Department of Information Technology, Uppsala University, Sweden. He earned his Masters and PhD in Scientific Computing from Uppsala University. In 2014, Toor finished his postdoctoral research from CMS program, Helsinki Institute of Physics, Finland. His area of expertise includes management, scalability and performance of distributed infrastructures for scientific applications. Toor is an active member of Distributed Computing Applications (DCA) group at Uppsala University. From 2015-2017, Toor was employed as a researcher in the Department of Information Technology, Uppsala University and as a senior cloud architect at Swedish National Infrastructure for Computing (SNIC). His research focuses on Distributed Computing Infrastructures.
Torbjörn Wigren is a Guest Researcher at the Division of Systems and Control, Department of Information Technology, Uppsala University, Sweden. He received the M.Sc. degree in engineering physics (electrical engineering) in 1985, and the Dr. of Technology degree in automatic control in 1990, both from Uppsala University, Uppsala Sweden. His main employer from 2001 is Ericsson AB, where he is a Principal Developer, responsible for R&D on radio near feedback control and signal processing algorithms for 5G and 6G cellular systems. Before joining Ericsson, he held positions with Bofors Aerotronics (1985-1991), Ericsson Radio Systems (1991-1995) and Celsius Tech Systems (1995-2001) where he was involved in development of fire control systems, audio signal processing, and passive air-target tracking. During 2000 - 2018 he was Adjunct Professor of Automatic Control at Uppsala University. His research is focused on nonlinear dynamic systems, including recursive identification, optimal control and estimation, as well as on the use of feedback principles in machine learning.
Per Mattsson is an Associate Professor in automatic control in the Department of Information Technology at Uppsala University. He received his Ph.D. degree in automatic control and system identification from Uppsala University in 2016. Mattsson’s research focuses on the development and analysis of data-driven methods for modeling, control, and predictive maintenance.
Postdoc, started August 2023
Ruslan Seifullaev is a Postdoctoral Researcher at the Division of Systems and Control, Department of Information Technology, Uppsala University, Sweden. He received the Diploma (M.Sc.) degree in theoretical cybernetics and the Candidate of Science (Ph.D.) degree in discrete mathematics and mathematical cybernetics from St. Petersburg University in 2012 and 2016, respectively. From 2014 to 2018, he was employed as a Research Engineer at the Institute of Problems in Mechanical Engineering of Russian Academy of Sciences. In 2023, he received the Ph.D. degree in signal processing from the Division of Signals and Systems, Uppsala University. His research interests include nonlinear control theory, time-delay systems, and networked control systems.
Postdoc, started August 2023
Daniel Arnström is a Postdoc at the Division of Systems and Control, Department of Information Technology, Uppsala University, Sweden. He received the Ph.D in automatic control from Linköping University, Sweden, in 2023. Previously, he had received M.Sc and Licentiate degrees from Linköping University in 2018 and 2021, respectively. At the 22nd World Congress of the International Federation of Automatic Control (IFAC) he was awarded the Young Author Prize (YAP) for his work on embedded optimization solvers. His research interests include reliable embedded optimization and reliable real-time Model Predictive Control (MPC); for reliability, his research interests include computational, safety, and security aspects.
Postdoc, started September 2023
Alain Govaert is a Postdoctoral researcher at the Division of Systems and Control, Department of Information Technology, Uppsala University, Sweden. He received the M.Sc. degree in Industrial Engineering and the Ph.D. degree in automatic control from the Faculty of Sciences at University of Groningen in the Netherlands in 2015 and 2020, respectively. His research interests include complex systems theory, game theory, random graphs, and control systems.
Ph.D. student, started August 2019
Sribalaji C. Anand is a Ph.D. student specializing in Automatic Control, at the Division of Signals and Systems, Department of Electrical Engineering, Uppsala University, Sweden. He works under the supervision of Dr. André Teixeira and Prof. Anders Ahlén. His research interests include optimization, Security of cyber-physical systems, Adaptive control. He received his M.Sc. degree in systems and control from the Delft Centre for Systems and Control (DCSC), TU Delft, the Netherlands in 2017. From 2016 to 2017, he was a research assistant at the Robotics Research Centre, International Institute of Information Technology (IIIT), Hyderabad, India. He received his Bachelor’s degree in Mechatronics from SASTRA University, India. He was the recipient of the Dean’s lister merit scholarship award for the years 2012 to 2016.
Ph.D. student, started October 2019
Fatih Emre Tosun received the B.S. and M.S. degrees in mechatronics engineering from Sabancı University, Istanbul, Turkey, in 2015 and 2019, respectively. He is currently working toward the Ph.D. degree in electrical engineering with Uppsala University, Uppsala, Sweden.,He conducted research in system design and control for physical human–robot interaction and series elastic actuation. His current research interests include secure and resilient control systems.
Ph.D. student, started May 2021
Anh Tung Nguyen is a Ph.D. student at the Division of Systems and Control, Department of Information Technology, Uppsala University, Sweden. He was born in 1995, Hanoi city, the capital of Vietnam. He received the Degree of Engineer in Automatic Control (5-year Talent program) from the Department of Automatic Control, School of Electrical Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam in 2018. In 2017, he was selected as Top 10 Young Engineer and Scientist Award granted by the Honda Foundation. He was a visiting student at the WPI International Institute for Carbon-Neutral Energy Research, Kyushu University, Fukuoka, Japan from September to December 2018. From 2019 to 2021, he was a research assistant at the Guidance, Navigation, and Control Laboratory, Sejong University, Seoul, Korea. He received the Degree of Master of Engineering in Aerospace Engineering from the Department of Aerospace Engineering, Sejong University, Seoul, Korea in 2021. His research interests include control theory, multi-agent systems, and cyber-physical security.
Ph.D. student, started October 2022
Zhenlu Sun is a Ph.D. student at the Division of Scientific Computing, Department of Information Technology, Uppsala University, Sweden. He received the Bachelor’s Degree in Measurement and Control Technology and Instrument from Shanghai Maritime University, Shanghai, China. He received the Master’s Degree in Control Science and Engineering from Beijing Institute of Technology, Beijing, China. Zhenlu worked at Intel China for three years, focusing on design and development of cloud computing and edge computing under the 5G telecom context. Before joining Intel, he was a software engineer at Cadence Design Systems from 2017 to 2019, focusing on development of EDA software toolkit. He is conducting research in cybersecurity and machine learning for critical infrastructures under the supervision of Prof. Salman Toor and Prof. André Teixeira. His research interests include security and privacy, distributed computing, machine learning and 5G telecom technologies.
Ph.D. student, started February 2023
Usama Zafar is a Ph.D. student at the Division of Scientific Computing, Department of Information Technology, Uppsala University, Sweden. He received his Bachelor’s Degree in Computer Software Engineering from National University of Sciences and Technology (NUST), Islamabad, Pakistan. He completed his Master’s Degree in Advanced Computing Science from Tsinghua University, Beijing, China. Usama has worked at Netsol Technologies for two years, focusing on research and development of FinTech products. He is currently conducting research in secure federated machine learning under the supervision of Prof. Salman Toor and Prof. André Teixeira. His research interests include distributed computing, security and privacy, distributed and federated machine learning.
Ph.D. student, started August 2023
Lovisa Eriksson is a Ph.D. student at the Division of Systems and Control, Department of Information Technology, Uppsala University, Sweden. She works under the supervision of Prof. André Teixiera and Prof. Dave Zachariah. Her research interests include machine learning, security and privacy, and decision theory. She earned her B.S.s degree in Mathematics 2021, and her M.S.s degree in Data Science 2023, both from Uppsala University.
Master student, Spring 2023 - “Modelling of cyber-physical security for an automotive battery control system”
Master student, Spring 2022 - “Implementation and evaluation of digital signal watermarking for control systems”
2021 - 2023
(Postdoc at ETH Zurich from 2023)
Duc Huy Le, Master student, Spring 2023 - “Exploration-Exploitation Trade-off Approaches in Multi-Armed Bandit”
Teja Kedar Vaddehulgesh, Master student, Spring 2023 - “Evaluation of Cyber-Attacks in Networked Control Systems”
Ankit Khandeparkar, Master student, Spring 2023 - “Embedded Control of a Rotary Inverted Pendulum”
Rana Faheem Iftikhar, Master student, Spring 2023 - “Fault Tolerant Stabilizability in Multihop Control Networks”
Benjamin Bucknall, Master student, Spring 2022 - “Promoting Exploration in Reinforcement Learning through Surprise-Based Intrinsic Motivation”
Oscar Larsson, Master student, Spring 2022 - “Generation and Detection of Adversarial Attacks in the Power Grid”