Principal Investigators

Prof. Marios Polycarpou

University of Cyprus and KIOS Research and Innovation Centre of Excellence

Dragan Savić

KWR Water Research Institute and University of Exeter

Photo: S. Jonek / Bielefeld University

Barbara Hammer

Bielefeld University

Phoebe Koundouri

Athens University of Economics and Business, ReSEES Laboratory on Socio-Economic and Environmental Sustainability

Research Team

Demetrios G. Eliades

University of Cyprus

Demetrios G. Eliades

University of Cyprus

Demetris Eliades holds a BSc/MSc (2004) in Electrical and Computer Engineering from the Aristotle University of Thessaloniki, Greece, an MSc (2005) in Artificial Intelligence from the University of Edinburgh, Scotland, and a PhD (2011) in Electrical Engineering from the University of Cyprus. Since 2019, he is a Research Assistant Professor at the KIOS Research and Innovation Center of Excellence, of the University of Cyprus. His research is focused on monitoring, control and security of smart water networks. He has authored and co-authored articles published in journals and conferences proceedings, in the areas of water systems, building systems, power systems, control and robotics. He is the Technical Coordinator of the H2020 PathoCERT project.

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Stelios Vrachimis

University of Cyprus

Stelios Vrachimis

University of Cyprus

Stelios G. Vrachimis received the Ph.D. and B.Sc. in Electrical Engineering from the Department of Electrical and Computer Engineering at the University of Cyprus, Nicosia, Cyprus, in 2020 and 2011 respectively, and a M.Sc. in Control Systems from Imperial College London, in 2012. From 2012 to 2020, he was a graduate-level Researcher at the KIOS Research and Innovation Center of Excellence, at the University of Cyprus, where he is currently a Post-Doctoral Research Associate. His research interests include the optimization, real-time state estimation, fault-diagnosis and fault-adaptive control of critical infrastructure systems, with applications focused on water distribution systems. He has volunteered as a reviewer to IEEE transactions and conferences, and has served as an associate editor to the ASCE Journal of Water Resources Planning and Management. He is a member of IEEE, the Cyprus Technical Chamber, and Cyprus Young Water Professionals.

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KWR Water Research Institute

Lydia Vamvakeridou-Lyroudia

KWR Water Research Institute

Lydia Vamvakeridou-Lyroudia

KWR Water Research Institute

Lydia S. Vamvakeridou-Lyroudia has an engineering background, with expertise and research interests focused mainly on computational modelling and hydroinformatics across a wide range of subjects: Water Supply and Distribution Systems, Smart Meters, System Dynamics Modelling, the Water-Energy-Food Nexus, Serious Gaming, the Circular Economy and Artificial Intelligence techniques for Water Systems.

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KWR Water Research Institute

Lydia Tsiami

KWR Water Research Institute

Lydia Tsiami

KWR Water Research Institute

Lydia Tsiami is a civil engineer specializing in hydraulic engineering and water management (MEng, NTUA). During her thesis, she developed a deep learning model to detect cyber-physical attacks in water distribution networks. Her passion lies in finding new ways to use artificial intelligence to solve water management problems.

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Researcher

University of Exeter

Researcher

University of Exeter

André Artelt

Bielefeld University

André Artelt

Bielefeld University

André Artelt studied B.Sc. Congnitive Informatics (2017) and M.Sc. Intelligent Systems (2019) at Bielefeld University.

Since 2019 he is a researcher in the Machine Learning group at Bielefeld University. Prior to that he spent some time in industry working in the software development department at Schüco International KG (2013-2019).

His research focuses on eXplainable AI.

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Alexander Schulz

Bielefeld University

Alexander Schulz

Bielefeld University

Alexander Schulz defended his Ph.D. thesis with the title 'Discriminative Dimensionality Reduction: Variations, Applications, Interpretations' at CITEC, Bielefeld University in early 2017. Currently, he is working as a post doc in the Machine Learning group at Bielefeld University. He has collaborated with groups from the Aalto University in Finland, the University of Groningen in the Netherlands, the University of Namur in Belgium and the Medical University of Vienna in Austria. His scientific contributions are in the areas of dimensionality reduction for data visualization, model interpretability, transfer learning and myoelectric control.

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Ulrike Kuhl

Bielefeld University

Ulrike Kuhl

Bielefeld University

Ulrike Kuhl holds a BSc (2012) and MSc (2014) in Cognitive Science from University Osnabrück. Studying developmental neural correlates of literacy and numeracy at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, she was awarded a PhD in Psychology from Leipzig University in 2019. Afterwards, she joined the machine learning group at University Bielefeld as a Postdoctoral researcher. Her current academic interests lie in the field of eXplainable AI, focusing on the development of usable explanations for automated decision making and machine learning models that meet the cognitive requirements of end users.

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Inaam Ashraf

Bielefeld University

Inaam Ashraf

Bielefeld University

Inaam Ashraf completed MSc Data Analytics from University of Hildesheim in April 2022. He has worked with SAP Security Research for over an year where he also completed his Master Thesis in the area of  Anomaly Detection using Deep Learning.

He also holds a BSc in Electrical Engineering (2005) and a Master in Business Administration (2009) and has worked as a Financial Analyst at the State Bank of Pakistan for a number of years.

He began his Doctoral Studies at the Bielefeld University in May 2022 focusing on Deep Learning for Water Distribution Networks.

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Researcher

Athens University of Economics and Business

Researcher

Athens University of Economics and Business

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