Welcome to the first of our fellowship holders

10-02-2025
We are happy to welcome the first of our fellowship winners from 2024's call. Our fellows will be arriving throughout the spring and staying with us for a period of up to six months.
People enjoying an activity
Last year's fellows enjoyed a number of NCCR Automation activities (Photo: Jasmin Frei)
Participants
Antonio Gallina
Junjie Xiao
Florian Wolf
Péter Antal
Salah Hajtaleb
Xiao Zhou
Stephan Kohlhaas
Sucheth Shenoy
Kehao Zhuang
Victor Qin
Matteo Cederle
Matteo Facchino
Daniele Ravasio
Keyan Miao
Photo of Antonio Gallina
Antonio Gallina is a PhD student working in Melanie Zeilinger's group. His current research lies at the intersection of machine learning and MPC, aiming to bridge the gap between simulation and reality with applications in the automotive field.
Photo of Junjie Xiao
Junjie Xiao is a Postdoc working in Florian Dörfler's group. His research focuses on resilient and decentralized energy systems, including microgrid stability, grid-forming control, synchronization, and cyber-resilient strategies.
Photo of Florian Wolf
Florian Wolf is a Master's student working in Niao He's group. His research combines applied mathematics, machine learning, and control theory, with an emphasis on developing robust and efficient solutions for real-world challenges.
Photo of Peter Anthal
Péter Antal is a PhD student working in Melanie Zeilinger's group. His research focuses on combining nonlinear and learning-based control methods, as well as optimization-based trajectory planning to enhance robotic applications of autonomous quadcopters. 
Salah Hajtaleb
Salah Hajtaleb is a PhD student working in Alireza Karimi's group. His research focuses on control for wind turbine generators to obtain stability-enhancing capabilities and support the transition to renewable-dominated power systems. 
Photo of Xiao Zhou
Xiao Zhou is a Master's student working in Maryam Kamgarpour's group. Her research focuses on multi-agent reinforcement learning and decision-making in complex, dynamic, and uncertain environments.
 
Photo of Stephan Kohlhaas
Stephan Kohlhaas is a Master's student working in John Lygeros' group. He is working on learning based control systems for energy networks.
Photo of Sucheth Shenoy
Sucheth Shenoy is a Master's student working in Gianni Ferrari's group. His research interests focus on learning-based control and robotics.
 
Picture of Kehao Zhuang
Kehao Zhuang is a PhD student working in Florian Dörfler's group. His research centres on the stability analysis and control of power systems with high renewable energy penetration, focusing particularly on hybrid systems integrating grid-forming and grid-following units.
Picture of Victor Qin
Victor Qin is a PhD student working in Florian Dörfler and Saverio Bolognani's groups. His work includes studying network pricing games, encouraging cooperative behaviour in multi-agent reinforcement learning, and studies of proposed market policies of future air traffic management systems for unmanned aerial vehicles.
Photo of Matteo Cederle
Matteo Cederle is a PhD student working in Saverio Bolognani's group. His main research interests lie in the field of reinforcement learning, with a particular focus on its applications to smart mobility, fairness and multi-agent problems.
Photo of Matteo Facchino
Matteo Facchino is a PhD student working in Melanie Zeilinger's group. His work is in the field of reinforcement learning, with a particular focus on its applications to smart mobility, fairness and multi-agent problems.
Photo of Daniele Ravasio
Daniele Ravasio is a PhD student working in Gianni Ferrari-Trecate's lab. His research focuses on integrating recurrent neural network models with traditional model-based control techniques to design novel centralised and distributed control schemes for uncertain large-scale systems. 
Photo of Keyan
Keyan Miao is a PhD student working in Andreas Krause's group. Her work focuses on the intersection of machine learning and control.