Santiago Sanchez is a PhD candidate at the University of Groningen. In 2014, he received his B.Sc. and M.Sc. in Industrial Engineering (Mechanical Engineering focus) from the University of Castilla-La Mancha, Spain. Later, in 2019, he received his M.Sc. in Systems and Control from University of Twente, Netherlands.
Santiago’s research interests are shaped by the emerging trend of combining data learning and control theory.
Arijit joined the University of Groningen as a PhD student in October 2020. In 2019, he received his M.Tech in Systems and Control Engineering from Indian Institute of Technology Bombay, India. Prior to that he completed Bachelor of Technology in Electrical Engineering. In 2019-2020 he was working as a Process Automation Engineer in Bloom Energy India Pvt. Ltd.
Arijit is quite passionate about mathematics and its applications in real life especially in the areas of modeling and control of nonlinear dynamical systems and model order reduction of complex systems. He will be working in model order reduction for the networks of digital twins.
Mohammad Hossein Abbasi was born on August 10, 1989, in Eilam, Iran. He received his B.Sc. and M.Sc. in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, in 2011 and 2013, respectively. Between 2013 and 2016, he was mainly working in companies and research institutes such as Durali’s System Design and Automation, and Niroo Research Institute.
From October 2016 to November 2020, he was a Ph.D. student within Center for Analysis, Scientific Computing and Applications at the Department of Mathematics and Computer Science at TU Eindhoven, under the supervision of Wil Schilders, Nathan van de Wouw and Laura Iapichino. Since November 2020, he is working as a postdoc at the Mechanical Engineering Department of TU Eindhoven in the subproject 6 of the Digital Twin project.
Mohammad’s research interests include dynamics and control, model order reduction, data-based and dynamical modeling, and computational fluid dynamics
Bas is a PhD candidate in the Digital Twin research program and a member of the Dynamics and Control group in the Mechanical Engineering faculty at the Eindhoven University of Technology. For his PhD project, he is supervised by prof.dr.ir Nathan van de Wouw and dr.ir. Rob Fey.
His current research is focused on developing methodologies for the autonomous updating of the models governing a digital twin, based on experimental data obtained from a physical machine such that a digital twin remains an accurate representation of its physical copy throughout its lifetime. The methodologies developed during this project will be applied to an industrial use case provided by ASM-PT.
Bas has received both his Bachelor’s and Master’s degree in Mechanical Engineering at the Eindhoven University of Technology. During his studies he developed a lasting interest in structural dynamics, model updating, model reduction, and machine learning.
Hossain Muhammad Muctadir obtained his Professional Doctorate in Engineering (PDEng) degree in Software Technology from Technical University of Eindhoven in 2020. His graduation project was executed in the context of the Internet of Food project, which is a consortium of leading food production and research organizations like Unilever as well as Wageningen University and Research. During this project, Hossain designed and developed a platform where organizations can share heterogeneous computational models as service among themselves. Moreover, during his PDEng, Mr. Muctadir participated in the development of several software intensive products in collaboration with global players like ASML and Philips Healthcare.
Mr. Muctadir received his bachelor’s degree in Information Technology with a Software Engineering major from the University of Dhaka, Bangladesh (2013) and master’s degree in Software Systems Engineering from RWTH Aachen University, Germany (2017). He worked with FEV GmbH for his master’s thesis where he studied Software Product Line (SPL) in the context of the automotive industry and implemented a similarity analysis framework that helps to identify SPLs from existing software components. Hossain has been working as a software developer for more than five years in different organizations, both in Bangladesh and Germany. During his professional career, he developed desktop and web applications as well as augmented reality applications for HoloLens.
Farhad Ghanipoor was born in Iran, 1995. He received his B.Sc. degree in Mechanical Engineering from K. N. Toosi University of Technology, Tehran, Iran. He also received his M.Sc. degree in Mechanical Engineering, Applied Mechanics from Sharif University of Technology, Tehran, Iran. His Master thesis was about parameter identification using data fusion methods. His research interests include Control, Robotics, System Identification and Heuristic algorithms concerned with Machine Learning.
He is going to work on hybrid model-data approaches for machine level anomaly detection and isolation within the Digital Twin project, under the supervision of Prof. Nathan Van de Wouw and Prof. Carlos Murguia.
David Manrique was born in Mexico. He received his B.Sc. degree in Chemical Engineering from UNAM Mexico. He received his M.Sc in Operation research from the University of Edinburgh and in Automotive technology from the Eindhoven University of Technology.
Lars Janssen was born in the Netherlands and received his B. Sc and M. Sc. in Mechanical Engineering at the Eindhoven University of Technology. His interest lies in dynamics and control and the mathematical challenges within the project.
Raghavendran completed his Masters in Embedded Systems at TU/e. His Master thesis assignment was on creating and validating a Domain Specific Language for Arrowhead Framework. This thesis work piqued his interests in the areas of Industry 4.0, modeling, meta-modeling, model checking and IoT and eventually, he decided to do his research in these areas.
Delft University of Technology
Ir. Gyula F. Max
Gyula is a PhD candidate at the Delft Center for Systems and Control at Delft University of Technology. He obtained both his BSc (cum laude) and MSc in Electrical Engineering at Delft University of Technology. His Master’s studies were revolved around Systems and Control.
Gyula is fond of (abstract) mathematics and developing algorithms, and is interested in optimization and control problems in the presence of uncertainty.
Ioanna is a PhD candidate on the Digital Twin research program at Leiden Institute of Advanced Computer Science (LIACS), Leiden University, supervised by dr. Matthijs van Leeuwen and prof. dr. Thomas Bäck. Her research project is a cooperation with two industrial companies, Tata Steel and ASM-PT.
Her current research focuses on developing automated hybrid model selection based on the minimum description length principle (MDL) by exploiting measured data to ensure performance, safety, flexibility, and quality of product / process design cycles with an improved predictive accuracy.
She obtained her Integrated Master’s diploma in Computer Science and Engineering at the University of Ioannina, Greece, where she was born and raised. Ioanna finds a particular interest in explanatory data mining, ethical machine learning, statistical analysis and predictive modeling.
Zhong is currently a PhD candidate in Machine Learning at LIACS (Leiden Institute of Advanced Computer Science) under the supervision of dr. Matthijs van Leeuwen and prof. dr. Thomas Bäck. Zhong’s research interests mainly focus on machine learning, especially in anomaly detection. Specifically, his PhD program centers on the topic of “Feature and data subset selection for contextual anomaly detection using hybrid models”, which is part of the DIGITAL TWIN program funded by NWO.
Before joining the EDA group at Leiden University, Zhong obtained a Bachelor’s degree in Statistics from Tongji University in Shanghai. Later, he received a Master’s degree in Mathematics from Tongji University in Shanghai and a double degree(Diplôme d’Ingénieur) in Data Science from ENSAI in Rennes, France.