EDI group Archives - ACE - Automatic Control Engineering Network

Asiya Khan

EDI Committee Member

Asiya Khan is an Associate Professor of Multimedia Communication & Intelligent Control at the University of Plymouth and recently seconded to DSIT Science and Technology Fellowship (AI Risk Adviser). She received her BEng (Hons) in Electrical & Electronic Engineering from University of Glasgow, MSc in Communications, Control & Digital Signal Processing from Strathclyde University and PhD from University of Plymouth. She has contributed to pedagogic scholarship and research especially in addressing under-represented groups in engineering. She has received funding from RAEng under the ‘Diversity Impact Programme’ supporting neurodiverse and disabled engineering students and towards developing engineering education for social inclusion. She has received funding from the British Council, EPSRC and EU ERDF.

She has published over 80 peer reviewed journal and conference papers; several book chapters and abstracts. She received a ‘best paper award’ in 2009 and a ‘best extended abstract award’ in 2022.

Her current research interests include prediction and control of video quality, cloud computing, fuzzy logic, developing artificial intelligence/machine learning/computer vision models in engineering applications such as pedestrian recognition, disease identification in cotton crops, controlled environment agriculture, damage recognition in wind turbine blades techniques, etc.

She is a reviewer for several Springer, IEEE and IET journal. She is a Chartered Engineer, Fellow of IET, Senior Member of IEEE and a Senior Fellow of the Higher Education Academy. ORCID: 0000-0003-3620-3048

Gianmario Rinaldi

EDI Committee Member

Gianmario Rinaldi is a Lecturer in Mechanical Engineering (Education & Research) at the Department of Engineering in the Faculty of Environment, Science and Economy. He is also the Faculty Advisor and the Academic Lead of the Formula Student Project. His research expertise is in control, estimation, and optimisation methods, with application to multienergy systems, power systems, and clean/autonomous vehicles.

At Exeter, he works in close contact with the Cooperative Robotics and Autonomous Networks (CRANE) laboratory, led by Prof Prathyush P Menon; the Control Systems Group; and the Centre for Future and Clean Mobility. His research is also aligned with the Research Theme Computational Modelling and Data Science.

He received a BEng in Energy Engineering (2014), a MSc in Electrical Engineering (2016), and a PhD in Control Systems Engineering (2020) from the University of Pavia, Italy. He has been a Postdoctoral Research Fellow in the former College of Engineering, Mathematics and Physical Sciences (CEMPS) at the University of Exeter (2019-2021).

Marcio Lacerda

EDI Committee Member

Marcio Lacerda is a Reader in Control Engineering and Cyber-Physical systems at London Metropolitan University. Before joining London Metropolitan, he was with the Federal University of São João del-Rei, Brazil (2016-2023). He held postdoctoral research positions at the University of Campinas (UNICAMP), and the Aerospace Engineering and Mechanics Department at, the University of Minnesota, USA. He was awarded a Ph.D. in Electrical Engineering from the School of Electrical and Computer Engineering at UNICAMP in 2014.

His main research interests include constrained control, LPV systems, and cyber-physical systems. The main focus of Mario’s research is the development of conditions for analysis and robust control design for systems under constraints. In 2021, he received the Fellowship of Research Productivity from the Brazilian National Council for Scientific and Technological Development. He is an Associate Editor for the Journal of Control Automation and Electrical Systems and a member of the IEEE Conference Editorial Board (CEB) and IEEE Technology Conference Editorial Board (TCEB).

Antonis Papachristodoulou

Co-Investigator and Co-Lead of the Equality, Diversity and Inclusion Group

Antonis Papachristodoulou is the Statutory Professor of Control Engineering at the University of Oxford. He was previously EPSRC Fellow and Director of the EPSRC & BBSRC Centre for Doctoral training in Synthetic Biology. He obtained the MA/MEng degree in Electrical and Information Sciences from the University of Cambridge, U.K. in 2000, and the PhD in Control and Dynamical Systems at the California Institute of Technology, with a PhD Minor in Aeronautics in 2005.

His research is at the interface of control theory, optimisation and synthetic/engineering biology. In 2015 he was awarded the European Control Award for his contributions to robustness analysis and applications to networked control systems and systems biology and the O. Hugo Schuck Best Paper Award. He is an IEEE Fellow for his contributions to the analysis and design of networked control systems. He was previously associate editor for Automatica and IEEE Transactions on Automatic Control.

Francesca Boem

Lead of the Equality, Diversity and Inclusion Group

Francesca Boem received the MSc degree (cum laude) in Management Engineering in 2009 and the PhD degree in Information Engineering in 2013, both from the University of Trieste, Italy. She was Post-Doc at the University of Trieste with the Machine Learning Group from 2013 to 2014. From 2014 to 2018, she was Research Associate with the Control and Power research group at the Department of Electrical and Electronic Engineering, Imperial College London, UK.

From 2015 to 2018 she was part of the team at Imperial College working on the flagship EU H2020-WIDESPREAD-TEAMING project for the development of the EU KIOS Research and Innovation Centre of Excellence in Cyprus. Dr Boem was awarded the Imperial College Research Fellowship in 2018, and in the same year she has been appointed as a Lecturer in the Department of Electronic and Electrical Engineering at University College London, UK. She also is Honorary Lecturer at Imperial College London. In 2022 she has been awarded as PI the EPSRC New Investigator Award and a NNTI Joint Lab – Base Exploratory project in 2023. She is the Director of UCL’s MSc in Integrated Machine Learning Systems.

Her current research interests include distributed fault diagnosis and fault-tolerant control methods for large-scale networked systems, safety and security of cyber-physical systems, learn-based control. Dr Boem is member of the IFAC Technical Committees 1.5 (Networked Systems) and 6.4 (“Fault Detection, Supervision & Safety of Technical Processes – SAFEPROCESS”) and Associate Editor for the IEEE Systems Journal, the EUCA European Journal of Control, and for the IEEE Control System Society, IFAC and EUCA Conference Editorial Boards.