Projects @ RUG

Educational Innovation & Leadership Projects

• AISME – AI Solutions in SMEs | Role: Lead Solution Developer (1 Course) | Year: 2023–2024 | Funding: €311,066 (EIT Manufacturing) | Impact: Drives SME digital transformation; embeds real industry challenges into RUG curricula.

  Workplace-integrated training for SME managers & engineers on adopting AI in manufacturing.

• ViDi – Data Science for Manufacturing | Role: Lead Instructional Designer (3 Courses) | Year: 2024–2025 | Funding: €388,516 (EIT Manufacturing) | Impact: Promotes lifelong learning; supports AI adoption; inspires new MSc course content at RUG.

  Blended learning program enabling professionals to solve manufacturing problems with data science.

• LLM for Formative & Summative Assessment | Role: Principal Investigator | Year: Since 2024 | Impact: Enhances students' motivation & metacognition; reduces instructors' workload.

  Piloting large language models to provide personalized feedback at scale in multiple FSE courses.

• EIT Digital master School in Data Science | Role: Coordinator (Acting Program Director) | Year: Since 2024

  Developing a New MSc double degree in partnership with EIT Digital Master School, and 14 EU universities.

• Student Attendance Inquiry – “To Be or Not to Be… Present in a Lecture” | Role: CS Representative | Year: Since 2025 | Impact: Improves students' engagement; optimizes university resources; reinforces student–staff relationships.

  Systematic inquiry into low attendance at FSE via focus groups and data analysis.

Applied Research Projects

• DDTClean – Distributed Digital Twin for Clean Water | Role: Coordinator (Acting Principal Investigator) | Year: 2024–2028 | Funding: €700,000 (NWO Green Water Processes) | Impact: Improves water quality in remote areas; coordinates multiple stakeholders; advances applied AI for societal benefit.

  AI-enabled wastewater governance using distributed digital twins.

Past Projects

• IoT Based Smart Water Tanks, Sponsor: DSR-IAU, Grant No: 2019-381-CSIT (SAR 149,400). My role: Co-Principle Investigator.
• Machine Learning Based Networked Control System for Energy, Power, and Load Management (ML- NCSys), Sponsor RDO RDICC (SAR 1,581,000). My role: Principal Investigator.
• Improving Readiness of Youth to Enter the Labor Market (Education for Employment): How and What Factors Influence Employment / Unemployment among IAU (CCIST-female) students, Sponsor: DSR-IAU, Grant No: 2019-387-CSIT (SAR 52,800). My role: Co-Principal Investigator.
• Smart Campus initiative - an Energy Management System Tailored for Imam Abdulrahman Bin Faisal University: From Preventive Demand Side Management to Reactive Demand Response, Sponsor: DSR-IAU, Grant No: 2019-343-CSIT (SAR 190,000). My role: Principal Investigator.
• Sa'ed Robot - Aramco's Data Center, Grant No: 2017119, Sponsor: DSR, University of Dammam (SAR 6,835).My role: students supervisor.
• Towards Increased Integration of Renewable Energy: How ready is the Society to that Transition in Saudi Arabia? Grant No: 2014263, Sponsor: DSR, University of Dammam (SAR 92,800). My role: Principal Investigator.
• Distributed Intelligence for a Self-Healing Wide-Area Microgrid Protection Scheme. Grant No: 2013209, Sponsor: DSR, University of Dammam (SAR 29,400). My role: Principal Investigator.
• The Electric Ship Research and Development Consortium: Modeling & Simulation. Grant N000140810080. Sponsor: Office of Naval Research. My role: Post-Doctoral Researcher.
• Attainability of Power Distribution System Reliability. Sponsor: NSF through Engineering Research Center (ERC) for Future Renewable Electric Energy Delivery and Management (FREEDM) Systems. My role: Post-Doctoral Researcher.
• An Agent Based Solution to Complexity in the All-Electric-Ship. Sponsor: Office of Naval research. My role: Post-Doctoral Researcher.
• The FAMU Multimedia Learning Resource Management System (FAMLEARNS) for STEM Instructional Enhancement. Sponsor: Department of Education Minority Science and Engineering Improvement Program. My role: contributed to writing the proposal.
• Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems (DAMADICS). Grant: FP5-RTN-1999-00392, Sponsor: European Community Framework Program 5 funded Research Training Network. My role: PhD Researcher.

Publications (by year)

2026

• C28: Daniel Seidel, Andres Tello and Dilek Dustegor, Positional Encodings for Graph Neural Networks in Intelligent Water Infrastructure, accepted to the 22nd International Conference on Intelligent Environments, 15 - 18 June 2026 | Lisbon, Portugal.
• C27: Revin Naufal Alief, Alexander Lazovik and Dilek Dustegor, Coverage-Aware Centrality Strategies for Sparse Sensor Placement in GNN-Based Wastewater Level Estimation, accepted to the 22nd International Conference on Intelligent Environments, 15 - 18 June 2026 | Lisbon, Portugal.
• C26: Revin Naufal Alief, Imane El Ghabi, Guy Henckens, Victoria Degeler, Alexander Lazovik and Dilek Dustegor, Uncertainty-Aware Graph Neural Network Surrogates for Wastewater Digital Twins Using Conformal Prediction, accepted to the 4th International Joint Conference on Water Distribution Systems Analysis and Computing and Control in the Water Industry (WDSA/CCWI 2026), Paphos, Cyprus, May 18-21, 2026..
• C25: Imane El Ghabi, Revin Naufal Alief, Dilek Dustegor, Guy Henckens, Alexander Lazovik and Victoria Degeler, Network-Wide State Reconstruction for Urban Drainage Systems from Sparse Sensor Coverage, accepted to the 4th International Joint Conference on Water Distribution Systems Analysis and Computing and Control in the Water Industry (WDSA/CCWI 2026), Paphos, Cyprus, May 18-21, 2026.
• C24: Imane El Ghabi, Revin Naufal Alief, Dilek Dustegor, Guy Henckens, Alexander Lazovik and Victoria Degeler, GNN-Based State Estimation for Urban Wastewater Digital Twins, accepted to the 41st ACM/SIGAPP Symposium On Applied Computing Thessaloniki, Greece, March 23-27, 2026.

2025

• C23: Samer Ahmed, Dilek Düştegör, Alexander Lazovik, Heinrich Wörtche, Windowed Multivariate LSTM Autoencoder for Leak Detection in Water Distribution Networks, 21st International Computing & Control in the Water Industry Conference (CCWI 2025), September 1-3, 2025, Sheffield, UK.
• P1: Revin Naufal Alief, Imane El Ghabi, Victoria Degeler, Dilek Düştegör, Alexander Lazovik, Toward Graph-Based Intelligence in Wastewater Systems, poster presented at the 34th Jyväskylä Summer School, August 4-8, Finland, 2025.
• P2: Imane El Ghabi, Revin Naufal Alief, Dilek Düştegör, Alexander Lazovik and Victoria Degeler, Scalable Digital Twin Framework for Decentralized Wastewater Management, poster presented at the SummerSOC2025: 19th Symposium and Summer School On Service-Oriented Computing, June 16/21, Greece, 2025.

2024

• W1: Davide Rigoni, Dilek Düştegör, Science-Twins: Digital Twins for Interactive Lecture Demonstrations, DIDIT 2024: 1st International Workshop on Distributed Digital Twins, June 17 2024.

2022

• J15: Nahid Sultana, S. M. Zakir Hossain, Salma Hamad Almuhaini, Dilek Düştegör, Bayesian Optimization Algorithm-Based Statistical and Machine Learning Approaches for Forecasting Short-Term Electricity Demand, Energies 2022, 15(9), 3425

2021

• J14: Farmanuallah Jan, Nasor Min-Allah, Dilek Düştegör, IoT Based Domestic Water Quality Monitoring: A Review, Water 2021, 13(13), 1729
• J13: Nesrine Mezhoudi, Rawan Alghamdi, Reem Aljunaid, Gomathi Krishna, Dilek Düştegör, Employability Prediction: A Survey of Current Approaches, Research Challenges and Applications, Journal of Ambient Intelligence and Humanized Computing. 2021

2020

• J12: Ahmet E. Tatar, Dilek Düştegör, Prediction of Academic Performance at Undergraduate Graduation: Course Grades or Grade Point Average, Applied Sciences. 2020, 10(14), 4967
• C22: Eyman Alyahyan and Dilek Düştegör, Decision Trees for Very Early Prediction of Student’s Achievement, 2nd International Conference on Computer and Information Sciences (ICCIS), 7-9 April 2020, Sakaka KSA.

2019

• J11: Eman Alyahyan, Dilek Düştegör, Predicting Academic Success in Higher Education: Literature Review and Best Practices, International Journal of Educational Technology in Higher Education, February 2019
• J10: Dilek Düştegör, Mehwash Farooqui, Aftab Khan, Fostering Higher Cognitive Skills Through Design Thinking in Digital Hardware Course: A Case Study, ICIC Express Letters, Volume 13, Number 10, October 2019
• J9: Dilek Düştegör, Analytical Tool for the Modelling and Simulation of Curriculum: Towards Automated Design, Assessment, and Improvement, International Journal of Engineering Education, Issue: 35-2, pp645–657, March – April 2019

2018

• J8: Mariam Elhussain, Dilek Düştegör, Naya Nagy, Amani Alghamdi, Impact of Digital Technology on Learning Experience of Female Students in Partition-rooms: Conditioned by Social Context, IEEE Transaction on Education, Volume: 61, Issue: 4, pp 265-273, November 2018
• J7: Dilek Düştegör, Mariam Elhussain, Naya Nagy, Amani Alghamdi, Learning Behind Glass Walls: Learning Style and Partition-room, Is There a Correlation? International Journal of Innovation Science, February 2018.
• J6: Dilek Düştegör, Nahid Sultana, Noor Felemban, Deemah Alqahtani, Determinants, Barriers and Policy Implications to a Smarter Electricity Grid: the Case of the Eastern Province in Saudi Arabia, Utility Policy, 50:26-39, February 2018

2017

• C21: M. Elhussein, Dilek Düştegör, Tracing Back the Chain: Cognitive Pre-requisite Analysis for CIS Capstone Project, in the Proc. of the 9th International Conference on Education Technology and Computers, ICETC 2017, Spain.
• C20: Kulthoom Karkazan, Hajar, Dilek Düştegör, A Remotely Piloted Aerial System for a Faster Processing of Traffic Collisions, in the Proc. of the IEEE GCC’17, 2017, Bahrain.

2016

• J5: K. AlSafwan, F. AlShaer, L. Hakami, K. Aseeri, M. AlJishi, Masoumah, Dilek Düştegör, Design and implementation of a residential energy monitoring system prototype tailored to meet local needs, International Journal of Computing and Digital Systems, Vol 5, issue 4, August 2016.

2015

• C19: K. AlSafwan, F. AlShaer, L. Hakami, K. Aseeri, M. AlJishi, Masoumah, Dilek Düştegör, Itrack: a residential electricity monitoring system adapted to local needs, in the Proc. of the IEEE International Symposium on Web of Things and Big Data (WoTBD 2015), October 2015, Bahrain.
• C18: Dilek Düştegör, N. Sultana, N.M. Felemban. D. Alqahtani, Public Acceptance of Renewable Energy and SmartGrid in Saudi Arabia, in the Proc. of the 8th IEEE GCC Conference, 1-5 February 2015, Muscat, Oman.

2013

• C17: Dilek Düştegör, N.M. Felemban, Wireless sensor network based monitoring system for photovoltaic panels in extreme GCC climate conditions, In the Proc. of the 7th IEEE GCC Conference, 17-20 November 2013, Doha Qatar.

2012

• C16: N. M. Felemban, Dilek Düştegör, Towards Increased Usage of Solar Energy in Residential Areas: How Ready is the Society to that Transition in the GCC Countries?, In the Proc. of the 3rd Annual Gulf Research Meeting, 2012.
• C15: N. M. Felemban, Dilek Düştegör, Usage of Solar Energy in Residential Areas: How Ready are Saudis for this Transition, in the Proc. of the 3rd Scientific Conference for Higher Education Students in Saudi Arabia, 2012.

2011

• C14: Dilek Düştegör, An Agent-Based Wide Area Protection Scheme for Self-Healing Grids, in the Proc. of the IEEE ISGT ME, 2011.
• C13: Dilek Düştegör, T. El Mezyani, S. K. Srivastava, A Distributed Fault Protection Method for Power Grid with High Penetration of Renewable Energy Sources, in the Proc. of the IEEE Smart-Grid'Comm, 2011.
• C12: T. El Mezyani, Dilek Düştegör, S. K. Srivastava, D. A. Cartes, Sensor Optimization and Placement for Enhanced Power System Monitoring Using Entropy, in the Proc. of the IEEE Electric Ship Technologies Symposium, 2011.
• C11: Dilek Düştegör, T. El-Mezyani, and P.G McLaren, A Resilience Metrics for Topology Comparison, in the Proc. of the IEEE Electric Ship Technologies Symposium, 2011.

2010

• C10: T. El Mezyani, Dilek Düştegör, S. K. Srivastava, D. A. Cartes, Parity Space Approach for Enhanced Fault Detection and Intelligent Sensor Network Design in Power Systems, in the Proc. of the IEEE Power Engineering Society General Meeting, 2010.

2009

• J4: Dilek Düştegör, S. Poroseva, M. Y. Hussaini, S. Woodruff, Automated Graph-Based Methodology for Fault Detection and Isolation in Power Systems, IEEE Transaction on Power Delivery, Volume 25, Issue 2, Pages 638 - 646, December 2009. (DOI: 10.1109/TPWRD.2009.2037005)
• C9: Dilek Düştegör, S. Poroseva, J. Langston, P. McLarren, Automated Graph-Based Methodology for Wide-Area Protection in Electric Ship Power Systems, abstract in the Proc. of the Huntsville Simulation Conference 2009, Huntsville October 2009.

2008

• J3: M. Laursen, M. Blanke and Dilek Düştegör, Fault Diagnosis in a Water for Injection System Using Enhanced Structural Isolation, International Journal of Applied Mathematics and Computer Science, Volume 18, Issue 4, 2008.
• C8: Dilek Düştegör, S. Poroseva, M. Y. Hussaini, S. Woodruff, Structural Analysis for Assessment of Monitoring Possibilities: Application to Simple Power System Topologies, in the Proc. of the IEEE Power Engineering Society General Meeting, 2008.
• C7: Dilek Düştegör, S. Poroseva, M. Y. Hussaini, S. Woodruff, A New Methodology for Automated Assessment of Fault Detection and Isolation Potential in Large Power Systems, in the Proc. of the Summer Simulation Multiconference (SummerSim'08), Edinburgh, Scotland, June 16-19, 2008.

2007

• C6: M. Laursen, M. Blanke and Dilek Düştegör, Fault diagnosis in a water distribution system using enhanced structural isolation, in the Proc. of Diagnostics of Processes and Systems (DPS'07), Poland, September 2007.

2006

• J2: Dilek Düştegör, E. Frisk, V. Cocquempot, M. Krysander, M. Staroswiecki, Structural Analysis of Fault Isolability in the DAMADICS Benchmark, Control Engineering Practice, Volume 14, Issue 6, Pages 597-608, June 2006.
• C5: Dilek Düştegör, V. Cocquempot, M. Staroswiecki, Adaptive structural analysis for FDI design in evolving systems, in the Proc. of the 6th IFAC Symposium on Fault Detection, and Safety of Technical Processes (Safeprocess'06), Beijing, China, September 2006.

2004

• J1: Dilek Düştegör, V. Cocquempot, M. Staroswiecki, E. Frisk, Isolabilite structurelle des defaillances: Application a un modele de vanne, Journal Europeen des Systems Automatises, Vol: 38, No: 1-2, pp 103 – 124, 2004.
• C4: Dilek Düştegör, V. Cocquempot, M. Staroswiecki, Structural Analysis for Fault detection and Identification: an Algorithmic study, in the Proc. of the Int. IFAC/System Structure and Control Conf, SSCC'2004, Oaxaca, Mexico, December 2004.
• C3: Dilek Düştegör, V. Cocquempot, M. Staroswiecki, Structural Analysis for Residual Generation: Implementation Issues, in the Proc. of the Int. IEE/Control Conf, Control'2004, Hull, UK, September 2004.
• C2: Dilek Düştegör, V. Cocquempot, M. Staroswiecki, Structural Analysis for Residual Generation: Towards Implementation, in the Proc. of the Int. IEEE/Conf. On Control and Applications, CCA'2004, Taiwan, Taipei, September 2004.

2003

• C1: E. Frisk, Dilek Düştegör, M. Krysander, V. Cocquempot, Improving fault isolability properties by structural analysis of faulty behavior models: application to the DAMADICS benchmark problem, in the Proc. of 5th IFAC Symposium on Fault Detection, and Safety of Technical Processes (Safeprocess'03), Washington USA, June 2003.

Theses

• T3: Structural Analysis for Fault Detection and Isolation: An Algorithmic Study, PhD thesis
• T2: An Investigation of the Common Structure Underlying the Correctness and Completeness Proofs of Parsing Algorithms, MS thesis
• T1: An HTML syntax checker and pretty printer, BS thesis

Ongoing Teaching

• Introduction to Computing Science, 2021-2022 Term 1A onward (tutor)
• Data Challenges in AI Systems, 2025-2026 1B onward (coordinator, master, new course)
• Research Skills in Computing Science, 2024-2025 Term 2A onward (coordinator)
• Fundamentals of Distributed Systems, 2023-2024 Term 2A onward (coordinator, new course)
• Bachelor's project, 2025-2026 2B onward (coordinator)
• Honours College, Tutorial, 2025-2026 2B onward (lecturer)

Past Teaching

• At RUG (Professor)
  • Languages & Machine, 2022-2023 2B (co-lecturer)
  • Program Correctness, 2021-2023 Term 2A (co-lecturer)
  • Discrete Structure, 2022-2024 1B (coordinator)
  • Intelligent Agents and Automated Reasoning, 2021-2022 Term 1B (co-lecturer, new course)
  • Introduction to Logic, 2021-2024 Term 1A (co-lecturer)
  • Artificial Intelligence, 2022-2023 Term 2B (coordinator, new course)
• At IAU (Professor)
  • Data Science and Analytics, Spring 2021
  • Introduction to Robotics, Spring 2020
  • Data Structure, Spring 2017 (4 sections, coordinator)
  • Computer Organization, Fall 2014 (2 sections, coordinator), Fall 2017 (2 sections, lecture + labs), Fall 2018 (3 sections, lecture + labs, coordinator), Fall 2019 (3 sections, lecture + labs, coordinator), Fall 2020 (4 sections, lecture + labs, coordinator)
  • Selected Topics in Computer Science, Spring 2014 (2 sections)
  • Modeling & Simulation (lecture & lab), Fall 2013 (2 sections)
  • Multi Agent System, Fall 2013 (2 sections)
  • Language Theory & Automata, Spring 2013 (2 sections), Spring 2015 (2 sections, coordinator), Spring 2016 (2 sections, coordinator), Spring 2017 (2 sections, coordinator), Spring 2018 (3 sections, coordinator), Spring 2019 (3 sections, coordinator)
  • Digital Hardware, Fall 2012 (4 sections), Fall 2015 (3 sections, coordinator), Fall 2016 (4 sections, coordinator, lecture + labs), Fall 2017 (2 sections, coordinator, lecture + labs), Fall 2018 (1 section, coordinator, lecture + labs), Fall 2019 (1 section, coordinator, lecture + labs)
  • Theory of Computation (Master Level), Spring 2019
• At PMU (Professor)
  • Computer Science II, Spring 2012
  • Digital Systems, Spring 2012
  • Circuits I, Fall 2011, Spring 2012
  • Operation Research, Fall 2011
  • Professional Ethics, Fall 2011
  • Business Intelligence, Spring 2011
  • Enterprise Resource Planning, Spring 2011
  • Discrete Structure, Spring 2011, Fall 2011
  • Human Computer Interaction, Spring 2011
  • Digital Signal Processing (Lecture & Lab), Fall 2010
  • Signals and Systems, Fall 2010
  • Automata Theory, Fall 2010, Spring 2011, Fall 2011, Spring 2012
  • E-Collaboration, Fall 2010
• At FAMU (Professor)
  • Data Structures, Files and Algorithms. Spring 2006, Fall 2006
  • Fundamentals of Programming in C++. Spring 2006, Summer 2006, Fall 2006
  • Fundamentals of Programming in C++ (Lab.) Summer 2006, Fall 2006
  • Programming in C. Spring 2006, Fall 2006
• At USTL (Lecturer)
  • Introduction to Programming in ADA. Spring 2003, Spring 2004
  • Introduction to Programming in C. Fall 2001, Spring 2002
• At GSU (Teaching Assistant)
  • Compiler Design. Spring 2001
  • Artificial Intelligence. Spring 2001
  • Introduction to Programming in Pascal. Fall 2000 - Spring 2001
  • Automata Theory. Spring 1999
  • Software Engineering. Fall 1998
  • Introduction to Computer Science. Fall 1998 - Spring 1999

RUG: University of Groningen, IAU: Imam Abdulrahman bin Faisal University,PMU: Prince Mohammad bin Fahd University, FAMU:Florida A&M University, USTL:Universite des Sciences et Technologies de Lille, GSU:Universite de Galatasaray

Ongoing Supervision

• Edwin Geertsma, Node Masking in Graph Neural Networks, BSc project, ongoing
• Mattes Fischer, Control Abstractions and Autonomous Behaviour for Remote Robotic Manipulation, Research SKills in CS, ongoing
• Diko van Rosmalen, Building a Simulation Pipeline for Anomalous Time-Series Data in Water Networks, Research SKills in CS, ongoing
• Alexandra B., Raisa A. and Tudor P., Sparse Sensor Placement for Graph-Based State Estimation, MSc Colloquium, ongoing
• A. N. Danko, A.T. Pennert, S. Ghavami, Centrality-Aware Learning vs Graph Neural Networks for State Estimation in Wastewater Systems, MSc Colloquium, ongoing
• Revin Naufal Alief, DDTclean project, Ph.D. Thesis, ongoing
• Samer Ahmed, Generalisable and Interpretable Machine Learning for Anomaly Detection in Water Distribution Networks, Ph.D. Thesis, ongoing
• Johanna Lipka, DiTEC project- Deep Learning approach for Surrogate Modeling in Steady-State Water Distribution Systems, MS thesis, ongoing

Past Supervision

MS projects

• Chris van Riemsdijk, Leak Detection in Water Distribution Networks using GNN-based pressure estimation, MS thesis, 2025
• Ching Wei Hsieh, Chelsea Streit, Sjors Wortelboer, and Niek van de Wouw, Generative Adversarial Networks to Detect Leakages in Water Distribution Networks, MS Colloquium, 2025.
• Miguel Barrera Lopez, A Review of the Commercial Utilization of Distributed Digital Twins, MS Colloquium, 2025.
• Chris van Riemsdijk, DeepFlow: A deep learning pipeline for leakage detection in water distribution networks, MS Research Internship, 2023
• Chris Van Riemsdijk, and Julian Pasveer, Deep Learning for Leakage Detection in Water Networks: A Comparative Study, MS Colloquium, 2023.
• Rick Timmer and Koen Bolhuis, Machine Learning for Leak Detection in Water Networks, MS Colloquium 2023
• Xiaoyu Guan, Lonneke Pulles, How Multi-Agent Systems for Anomaly Detection Achieve Decentralization, MS Colloquium 2023
• Marijn Schokker, Data Processing in Water Management, MS Research internship, 2022
• Heyam Baghdadi, Using data-mining techniques to discovering determinants to post-graduate students’ dropout: the case of Imam Abdulrahman bin Faisal University, MS Thesis, 2020
• Eman Abdulrahman Alyahyan, Predicting undergraduate students' Success in a Saudi University Using Data Mining Techniques, MS Thesis, 2019
• Linda Rattfält, A Comparative Study of Two Structural Methods for Fault Isolability Analysis, MS Thesis (second supervisor), 2002

BS projects

• Desley Dijkstra, User Friendly Automated Dataset Generator for Wastewater System Simulations, BS Thesis, 2025
• Ali Al-Kanchi, Real-Time Drone Operation System for Tactical Drone Operations (with industrial partner: comstar), BS Thesis, 2025
• Vasco Reynolds Brandão, Collecting Data from Vulnerabilities of Digital Twins in Offshore Windmill Farms, BS Thesis (second supervisor), 2025
• Adelina Maria Gauca, Automating Structured Data Extraction from Historical Trade Records Using Large Language Models, BS Thesis, 2025
• Tino Alferink, Multivariate LSTM-Autoencoder forLeak Detection in Water Distribution Systems, BS Thesis, 2025
• Joren Hessels, Automated Dataset Generator for Wastewater System Simulations and Benchmark Generation for Deep Learning Models Comparison, BS Thesis, 2025
• Daniel Seidel, Positional encodings in Graph Neural Networks for Geo-Located data, BS Thesis, 2025
• Ali Al-Kanchi, AI Recognition on Drone Output Streams on a Secure Architecture (with industrial partner: comstar), BS Research Skills in CS, 2025
• Joren Hessels, Automated Dataset Generator for Wastewater System Simulations and Benchmark Generation for Deep Learning Models COmparison, BS Research Skills in CS, 2025
• Desley Dijkstra, User Friendly Automated Dataset Generator for Wastewater System Simulations, BS Research Skills in CS, 2025
• Daniel Seidel, Positional encodings in Graph Neural Networks for Geo-Located data, BS Research Skills in CS, 2025
• Alex Grigore, Data Driven Leakage Detection in Water Network, BS Research Skills in CS and thesis, 2024
• Lucas Lovas, Mining sales data to identify customer profiles, and predict sales, BS Research Skills in CS and thesis, 2024
• Adrian Predescu, Data Mining For Customer Profiling and Sales Prediction, BS Research Skills in CS and thesis, 2024
• Andrei Valentin Girjoaba, Bit Flips, Beware! Improving Error Checking and Correction Codes Using Level Aware Monte-Carlo-Tree-Searches, BS thesis (second supervisor), 2024
• Frank van Houten, Comparative Analysis of Optimization Algorithms for Long Short-Term Memory networks in the Context of Water Network Flow Prediction, BS thesis, 2024
• Tino ALferink, Optimizing Water Distribution Networks: A Comparative Analysis for Machine Learning Methods for Leakage Detection and Prediction, BS Research Skills in CS, 2024
• Maria Adelina Gauca, Data-Driven Leakage Detection in Water Network, BS Research Skills in CS, 2024
• Andrei Avram, Transfer Learning for Short-Term Load-Forecasting: Convolutional Neural Network-Long Short Term Memory Forecasting approach, BS thesis, 2023
• Anthony Krymsi, Transfer Learning for Short-Term Load Forecasting; Convolution Neural Network and LSTM Approach, BS Research Skills in CS and thesis, 2023
• Ilkehan Aksu, Supervised learning methods for leakage localization in water distribution network, BS Research Skills in CS and thesis, 2023
• Max Schaffelder, Detection of AI-generated essay assignments using deep learning methods, BS thesis, 2023
• Cristina Margarint, Leakage Detection in Water Network, BS Research Skills in CS, 2023
• Luke Hewson, Unsupervised learning methods for leakage localization in water distribution network, BS Research Skills in CS and thesis, 2022
• Antal Huisman, Learning Invariants using Decision Trees and Implication Counterexamples, BS Research Skills in CS, 2022
• Davide Rigoni, Digital twins for smart classroom: a Smart Chemistry lab application, BS Research Skills in CS and thesis, 2022
• Johanna Lipka, Digital twins for smart classroom: Proximity Evaluator, BS Research Skills in CS and thesis, 2022
• Chris van Riemsdijk, A surrogate Model for Short Term Load Forecasting, BS Research Skills in CS and thesis, 2022
• System, apparatus, and method for detecting home anomalies, 2020
• CAPEs advisory, Conversational Agent for Professional Examinations Advisory, 2019, (second supervisor)
• MEQYAS, A health tracker application, 2019
• Gaming for Improved Algorithmic Skills, 2019
• WeView (ARAMCO wheel visualization project), 2019, (second supervisor)
• Android application for make-up artist, 2018
• Computational Intelligence Model for Accident Prediction in Saudi Arabia, 2018
• Librarian Robot: towards ARAMCO data center automation, 2017
• LAKITU: a traffic safety drone, 2016
• BrailleTouch, 2016
• iTrack: a wireless home energy consumption monitoring system, 2015
• A robot to deliver blood samples to ER, 2014 (second supervisor)
• Ipad application for mentally ill kids, 2014 (second supervisor)
• Medecine reminder, 2014 (second supervisor)
• Smart phone-based baby monitor, 2014 (second supervisor)
• RFID based inventory keeping, 2014 (second supervisor)
• Smart phone Hajj application, 2014 (second supervisor)
• Smartphone shopping list application, 2014 (second supervisor)
• Usage of Solar Energy in Residential Areas, 2012
• Attendance System through Barcode, 2012
• Blood Bank System, 2012
• Characterization of Multiple Receive Antennas for Body-to-Body Channels and Evaluation of the Capacity, 2011 (second supervision)
• Towers of Hanoi, 2011
• Design of Solar Powered LED Street Lights: Towards Sustainable Development, 2011

Journals / Conferences / Scientific Events

• Doctoral Colloquium Co-Chair, IE2026 (22nd International Conference on Intelligent Environments)
• Editorial Board Member, Journal of Smart Cities and Society (IOS Press)
• Workshop Co-Chair of DiDit 2024
• Publicity Chair of IEEE ICCSII 2012
• Organizing Committee Member for the PMU Research and Professional Development Colloquium, 2012, 2011, 2010, and DAMADICS USTL Vacation School 2003
• Program Committee Member:
  • EDTConf (2026) (International Conference on Engineering Digital Twins)
  • IE2026 (22nd International Conference on Intelligent Environments")
  • KNUMS (2024)
  • AMALEA2 (2024)
  • ABIS (2024, 2018)
  • ICCISN (2018)
  • IEEE TENSYMP (2017)
  • ENCINS (2015)
  • CEAT (2013)
  • PECON (2012)
• Journal Reviewer:
  • International Journal of Computing and Digital Systems,
  • Renewable & Sustainable Energy Reviews,
  • International Journal of Robust and Nonlinear Control,
  • IEEE Transactions on Vehicular Technology,
  • IEEE Transactions on Power Delivery,
  • IEEE Transactions on Power Systems,
  • IEEE Transactions on Smart Grid,
  • International Journal of Educational Technology in Higher Education,
  • Higher Education,
  • Signals.
• Conference Reviewer: IEEE PES-IAS 2018, Smart Cities Symposium 2018, EECSI 2017, IEEE GCC Conference & Exhibitions 2013, IEEE Workshop on Systems Signal Processing and their Applications 2013, IEEE Conference on Decision and Control 2011, IEEE Conference on Decision and Control 2009, IEEE Conference on Decision and Control 2008, IEEE Conference on Decision and Control 2007, European Union Control Association European Control Conference 2007, IEEE Conference on Control Applications 2004.

Invited Talks

• LLM for Formative and summative assessment (grading support), Education Festival 2025, Teaching Academy Groningen, 24-26 March 2025.
• The water cycle in the Netherlands: challenges and opportunities, AMALEA - Advances and applications of machine learning and AI- International Workshop, September 19, 2024.
• A Reflection on (Declining) Student Performance: Implications for STEM Higher Education, RUG-STEM ED symposium “The Role of STEM Education in a Changing World”, February 20, 2024.
• Training on Maintaniability for SMEs AISME project and training, November 28, 2023.
• Fault detection and diagnosis: status and application, Colorado State University, School of Engineering, Undergraduate Tutorial, December 2009.
• Towards a Smarter Grid: a computational tool for fault detection and location, Colorado State University, School of Engineering, Seminar, October 2009.
• Model-Based Fault Detection and Isolation, FAMU-FSU School of Engineering, Graduate Seminar, November 2004.

University Service

• Member, Student Well-Being - Relational Domain Committee, RUG, since 2025
• Member, PhD Assessment Committee, "Security and Privacy Concerns in Cloud-based Scientific and Business Workflows", Nafiseh Soveizi, RUG, 2025
• Member, PhD Assessment Committee, "Privacy-Preserving Machine Learning over Distributed Data", Ali Reza Ghavamipour, RUG, 2024
• Chair, session on "Software-Intensive Infrastructures", Bernouilli Institute Retreat, RUG, 2024
• Chair, Student Colloquium session, CS department, RUG, 2024
• Member, Digital Challenge Working Group, Bernoulli Institute, since 2024
• Member, Advisory group for the UG meet & greet around the theme of ‘Water’, RUG 2024
• Member, Curriculum Committee, CS department, RUG (since 2023)
• Examiner, Board of Examiners AI/CCS/CS, RUG (since 2023)
• Chair, Artificial Intelligence Department Curriculum Committee, IAU (since Fall 2020 – Spring 2022)
• Chair, Quality Assessment and Exams Unit, IAU (Fall 2018 – Spring 2022)
• Member, CS Department Curriculum Committee, IAU (Spring 2016 – Spring 2019)
• Faculty advisor, IEEE student chapter, PMU (Fall 2010 – Spring 2012)
• Member & Secretary General, University Scientific Council, PMU (Fall 2010 – Spring 2012)
• Chair, Facilities & Computing Committee, FAMU (Fall 2005)
• Member, ABET Accreditation Committee, FAMU (Fall 2005)

RUG: University of Groningen, IAU: Imam Abdulrahman bin Faisal University,PMU: Prince Mohammad bin Fahd University, FAMU:Florida A&M University, USTL:Universite des Sciences et Technologies de Lille