The team
Machine learning | Control theory
Rafal Wisniewski | Professor | Founder & Head (Learning and Decisions Lab)
I earned a PhD in electrical engineering in 1997 and a PhD in mathematics in 2005. Following that, I served as a control specialist at Danfoss A/S from 2007 to 2008 and as a professor at Vestas A/S from 2008 to 2013. Since 2013, I have been a full professor at the Department of Electronic Systems at Aalborg University.
Large scale water networks | Waterborne HVAC
Carsten Skovmose Kallesøe | Professor | Chief Control Specialist (Grundfos A/S)
I earned my M.Sc. and Ph.D. in control engineering from Aalborg University, Denmark, in 1998 and 2005, respectively. Throughout my career, I've focused on control and supervision solutions for pumping systems and water networks, primarily within the water industry. My contributions were recognized with the Elektroprisen award by the Danish Society of Engineers (IDA) in 2013. Presently, I serve as the Chief Control Specialist at Grundfos and hold a professorship at Aalborg University.
Leakage diagnosis | Control Theory
Saruch Rathore | PhD fellow
I completed my MSc in Control and Automation at Aalborg University in 2020 and am currently pursuing my PhD there, specializing in drinking water systems. With over 4 years of experience in projects concerning water networks, my current focus is on enhancing water network efficiency by identifying and resolving issues such as leaks and contamination.
Game theory | Reinforcement Learning | Control Theory
Rahul Misra | PhD fellow
I am currently pursuing my PhD at Aalborg University. My research interests span game theory, reinforcement learning, constrained optimization, and nonlinear control. I have experience designing control systems for various applications, including satellites, water networks, and robotics. My research has been recognized with the Elite Research Travel Grant in 2022 by the Ministry of Higher Education and Science, Denmark.
Quantum Control | Stochastic Systems
Henrik Glavind Clausen | PhD fellow
Received the BSc degree in eletronics engineering from Aalborg University, Aalborg, Denmark, in 2018 and the MSc degree in control and automation from the same institution in 2020. Currently pursuing the PhD degree in control and estimation of quantum systems at Aalborg University.
Email — AAU VBN — LinkedIn — Personal website
Anomaly Detection | Deep Learning
Aqsa Marium | PhD fellow
Received the B.S. degree in mathematics from NUST, Islamabad, Pakistan, in 2016 and the M.S. degree in applied mathematics from the same institution in 2018. Currently pursuing the PhD degree at Aalborg University, where my research focuses on developing anomaly detection algorithms ensuring the safe operation of Power-to-X systems. It involves applications of deep learning techniques to enhance system security.
Email — AAU VBN — LinkedIn — Personal website
Anomaly Detection | Topological Data Analysis | Machine Learning
Bulut Kuskonmaz | PhD fellow
Received the B.S. degree in electronics engineering and minor in mathematics from Sabanci University, Istanbul, Turkey, in 2018 and the M.S. degree in applied mathematics from the same institution in 2020. Currently pursuing the PhD degree at Aalborg University, where my research focuses on machine learning for anomaly detection, topological data analysis, and cyber-security in electronics systems.
Email — AAU VBN — LinkedIn — Scholar — ResearchGate
Privacy | Security | Quantum Computing
Jaron Skovsted Gundersen | Post Doctoral Researcher
I received my Ph.D. from the department of Mathematical Sciences, Aalborg University in 2020. After a short term as research assistant at the same department, I have been a Postdoc here at the department of Electronic Systems. My current research interests include Secure Multiparty Computation, Secret Sharing, and Quantum Error Correction.
Safe Reinforcement Learning | Model-free Safety Verification | Control Theory
Abhijit Mazumdar | Post Doctoral Researcher
I received my Ph.D. in Electronics and Electrical Engineering from the Indian Institute of Technology Guwahati (IIT-Guwahati) in 2021. Prior to joining Aalborg University, I was an Institution-of-Eminence postdoctoral fellow at the Indian Institute of Science (IISc) from 2021 to 2022. My current research interests include safe reinforcement learning, model-free safety verification, offline reinforcement learning, and mathematical control theory.
Quantum Computing | Quantum Control Theory
Salahuddin Abdul Rahman | PhD fellow
I received my B.Sc. and M.Sc. degrees in electrical engineering from Kuwait University, Khaldiya, Kuwait, in 2012 and 2016, respectively. I am currently pursuing my PhD degree at Aalborg University, where my research focuses on developing quantum algorithms for near-term quantum devices based on quantum control theory.
Safe Reinforcement Learning | Control Theory
Ehsan Honari Latifpour | PhD fellow
I received my B.Sc. in Electrical Engineering and my M.Sc. in Control and Dynamical Systems in 2018 and 2021 respectively. Since 2022, I have been pursuing my PhD at the ES department at AAU. My research is focused on reinforcement learning for control in safety-critical systems.
Anomaly Detection | Physics-Informed Machine Learning | Topological Data Analysis
Álvaro Martín Gómez | PhD fellow
I received my B.Sc. in Electronic Engineering and Automation from the University of Oviedo, Gijón, Spain in 2020 and my M.Sc. in Control and Automation from Aalborg University, Aalborg, Denmark in 2022. I am currently pursuing my Ph.D. within the Department of Electronic Systems at the same university. My research focuses on the integration of physical knowledge of dynamical systems with data-driven techniques to overcome the limitations inherent in each approach individually. I seek to develop new techniques for the accurate and efficient detection of anomalies and cyber-attacks in wind farms.