Ir. Santiago Sanchez-Escalonilla Plaza

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.

Ir. Arijit Sarkar

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.

Ir. Armin Pirastehzad

Armin Pirastedzad was born in Iran. He received his B.Sc. and M. Sc. degree in Electrical Engineering at the University of Tehran.

Dr. Mohammad Hossein Abbasi

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

ir. Bas M. Kessels

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, PDEng.

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.

Ir. Raghavendran Gunasekaran

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.

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.

Ir. Amin Sheikhi

Amin is a Ph.D. candidate within Delft Center for Systems and Control at Delft University of Technology, 2022, supervised by prof.dr.ir Tamás Keviczky and dr. Peyman Mohajerin Esfahani. The focus of his research is mainly on probabilistic anomaly and fault detection for online monitoring in data-driven resilient control systems. Prior to that, he received both his B.Sc. and M.Sc. degrees in Systems & Control from Shiraz University and K. N. Toosi University of Technology, respectively. His master’s thesis included developing a new stochastic nonlinear predictive control scheme for performance monitoring of nonlinear control systems as well as a data-driven control assessment criterion.

Ir. Gabriel de Albuquerque Gleizer

Gabriel de A. Gleizer is a postdoctoral researcher at the Delft Center for Systems and Control (DCSC), Delft University of Technology (The Netherlands). He received his Control and Automation Engineering degree in 2010 and his M.Sc. in Electrical Engineering in 2013 from the Federal University of Rio de Janeiro, Brazil, and his Ph.D. in Systems and Control at DCSC, TU Delft. Before his Ph.D., he was a Research Engineer at GE Global Research in Rio de Janeiro, from 2012 to 2017. His main research interests are hybrid systems, fault diagnosis, networked control systems, and formal methods for quantitative analysis and control.

Ir. Lieke van der Worp

Lieke van der Worp is a PhD candidate at the University of Twente. She studied Industrial Design Engineering with a specialisation in Management of Product development at the University of Twente.

Lieke’s research interests are Product Lifecycle (Management), Information Technology and Virtual Reality

Ir. Aneesh Ravikumar

As a part of the Nonlinear Solid Mechanics chair, and in collaboration with the Precision Engineering chair of the University of Twente, Aneesh worked as a PhD candidate in the Digital Twin project 2.2 for 1 year, under the supervision of dr. J. Hazrati Marangalou and dr.ir. W.B.J. Hakvoort.

Aneesh focused on developing and updating robust and efficient models of multi-stage metal forming processes, by combining model based Engineering with physics inspired data interpolation approaches. The objective of his research was to predict product attributes and estimate the occurrence of failure in the process, considering manufacturing deviations and uncertainties. His project was in collaboration with the industrial partner Philips.

He obtained his Master of Science degree in Mechanical Engineering from Linkoping University, Sweden. His research interests are material modeling, finite element methods, model order reduction, robust optimization and physics inspired interpolation methods.

Ir. Francesco Munzone

Francesco Munzone is a Ph.D. candidate at the group of Nonlinear Solid Mechanics at the University of Twente, under the supervision of dr. J. Hazrati Marangalou and dr.ir. W.B.J. Hakvoort. Francesco received both his B.Sc.  degree in Industrial Engineering (2019) and M.Sc. degree in Mechanical Engineering (2022) at the University of Catania (Italy).

Francesco is currently working on the development of a physics informed meta-model for robust optimization of a multi-stage manufacturing process, based on measured data obtained from a two-step drawing process provided by Phillips.

Ir. Ioanna Papagianni

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.

Ir. Zhong Li

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.