Dilek Düştegör

Hi there, Dilek Düştegör here!

I am an Assistant Professor with Education Profile at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence of the University of Groningen, Netherlands. I am a member of the Distributed Systems group. My current research is focused on distributed decision making for smart environments, cyber-physical systems and digital twins, and pervasive computing for ambient intelligence, with a particular interest in sustainable applications for critical systems like water and energy management.

As an engineer (both in training and at heart), I have always been passionate about practical applications of theoretical knowledge to solve real-world problems and improve existing technologies. I root for the valorization of research, especially through the creation of societal values, which makes me wander at the frontier of academia and industry, through collaborations and the development of training for professionals.

News

[04.03.25] My project DDTClean is featured in an article series on water research a by the Faculty of Science and Engineering - University of Groningen.
[19.01.25] I am co-organizing the Second Distributed Digital Twins (DiDiT) workshop, which will happen on June 23/24th in Darmstadt. The submission is open now.
[19.09.24] I am presenting our research related to the water cycle in the Netherlands at the AMALEA workshop.
[04.09.24] The proceedings DiDiT 2024 are now online.
[03.06.24] I am co-organizing the First Distributed Digital Twins (DiDiT) workshop, which will happen on June 17th in Groningen. The full program is now available.
[07.05.24] Our collaboration with Grenoble INP Genie Industriel and 4 industrial partners, has been awarded a one year EIT Manufacturing grant for the project "Data Science Training for Solving Manufacturing Issues (ViDi)". More information about the EITM funding call's.
[30.02.24] We have a new PhD position opening under my supervision: "PhD. in distributed digital twins".
[20.02.24] I am participating as a panelist to the workshop “A Reflection on (Declining) Student Performance: Implications for STEM Higher Education”, at the RUG-STEM ED symposium “The Role of STEM Education in a Changing World”.
[28.11.23] I am giving a webinar for the presentation of the AISME project and training to various industrials.
[20.02.23] Our consortium of 7 and industrial partners, has been awarded a grant for the project "Intelligent Wastewater Treatment: Distributed Digital Twin for Clean Water (DDTclean)". One PhD position for the Bernoulli Institute is funded by this project. Read the news on the NWO's website.
[01.08.23] Since August 1st, I am an Assistant Professor with Education Profile, affiliated with the Distributed Systems group at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence of the University of Groningen, Netherlands

Ongoing Projects

DDTClean: Intelligent Wastewater Treatment: Distributed Digital Twin for Clean Water - NWO

Sponsor: NWO-Green Water Processes. Total budget: €700,000 (funding two phd students, one under my supervision). Date: May 2024 - May 2028. My role: PI

DDTclean is a research project which focuses on the development of future-facing wastewater treatment technologies. These novel technologies can provide intelligent wastewater governance, including collection and treatment, with the help of electrochemical-membrane technologies and scalable Artificial Intelligence enhanced distributed Digital Twin framework. This project addresses the existing dilemma of low treatment efficiency of decentralised wastewater, while facilitating the communication and coordination of multiple stakeholders, aiming to improve the environmental quality, especially in remote areas, and to contribute to system-wide optimal operations.

ViDi: Data Science Training for Solving Manufacturing Issues - EIT Manufacturing

Sponsor: EIT-Manufacturing. Total budget: €388,516. Date: July 2024 - December 2025. My role: Lead Instructional Designer; Lead for Solution Development; Owner of Three Courses

ViDi focuses on the training of professionals for the digital transformation and a sustainable manufacturing of the future. Following a blended andragogical learning approach, learners will be trained to design, develop, implement and deploy the correct Artificial Intelligence (AI) and Data Science (DS) solution adapted to real manufacturing cases, especially related to production systems optimization, quality control and maintenance. This is a multi-facet project that has societal impact (helping private and public stakeholders integrating AI solutions), research dimensions (industrial partners are bringing cutting edge research problems as use cases), and also a teaching innovation side (the project is facilitating the creation of new MS courses at RUG).

AISME: Supporting AI solutions in SMEs - EIT Manufacturing

Sponsor: EIT-Manufacturing. Total budget: €311,066. Date: January 2023 - December 2024. My role: Lead for Solution Development; Owner of one Course

AISME is a European project funded by EITM that is building courses for the digital transformation, from SMEs to SMEs. AISME project aims at training managers, engineers and technicians, working in or for SMEs, guiding manufacturing SMEs to implement AI solutions. This is a multi-facet project that has societal impact (helping private and public stakeholders integrating AI solutions), research dimensions (industrial partners are bringing cutting edge research problems as use cases), and also a teaching innovation side (the project is facilitating the creation of new MS courses at RUG).

LLM based Online Tutor - RUG

Sponsor: RUG CIT Innovation Grant. Total budget: €TBA. Date: September 2024 - December 2024. My role: Head of Steering Committee

This is a teaching innovation project aiming at developing an online LLM-based automatic grader and tutor for the course "Fundamentals of Distributed Systems".

Absenteism at FSE

collaboration with ISEC-FSE. Date: February 2024 - July 2025. My role: CO-I

This is a teaching innovation project investigating the underlying reasons to declining students presence in lectures at FSE - BS in Computing Science program. The results will be used to develop a set of guideline on how to to enhance students' learning experience.

Past Projects

IoT Based Smart Water Tanks, Sponsor: DSR-IAU, Grant No: 2019-381-CSIT (SAR 149,400). My role: CO-I.
Machine Learning Based Networked Control System for Energy, Power, and Load Management (ML- NCSys), Sponsor RDO RDICC (SAR 1,581,000). My role: PI.
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-I.
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: PI.
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: PI.
Distributed Intelligence for a Self-Healing Wide-Area Microgrid Protection Scheme. Grant No: 2013209, Sponsor: DSR, University of Dammam (SAR 29,400). My role: PI.
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.

Refereed Journals

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
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
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
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
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
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.
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)
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.
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.
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.

Refereed Conference and Workshop Proceedings

C23:	Davide Rigoni, Dilek Düştegör, Science-Twins: Digital Twins for Interactive Lecture Demonstrations, DIDIT 2024: 1st International Workshop on Distributed Digital Twins, June 17 2024.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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

Data Challenges in AI Systems, 2025-2026 1B onward (coordinator, master, new course)
Bachelor's project, 2025-2026 2B onward (coordinator)
Research Skills in Computing Science, 2024-2025 2A onward (coordinator)
Fundamentals of Distributed Systems, 2023-2024 2A onward (coordinator, new course)

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)
- Introduction to Computing Science, 2021-2025 Term 1A (tutor)
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

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
Chris van Riemsdijk, Leak Detection in Water Network, MS thesis, ongoing
Ali Al-Kanchi, AI Recognition on Drone Output Streams on a Secure Architecture (with industrial partner: comstar), BS Thesis, ongoing
Joren Hessels, Automated Dataset Generator for Wastewater System Simulations and Benchmark Generation for Deep Learning Models COmparison, BS Thesis, ongoing
Desley Dijkstra, User Friendly Automated Dataset Generator for Wastewater System Simulations, BS Thesis, ongoing
Daniel Seidel, Positional encodings in Graph Neural Networks for Geo-Located data, BS Thesis, ongoing
Tino ALferink, Optimizing Water Distribution Networks: A Comparative Analysis for Machine Learning Methods for Leakage Detection and Prediction, BS Thesis, ongoing

Past Supervision

MS projects

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

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

Editorial Board Member, Journal of Smart Cities and Society (IOS Press)
Workshop Co-Chair of DiDit 2024, DiDit 2025
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
PC member:
- 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, 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

Speaker, workshop “The water cycle in the Netherlands: challenges and opportunities”, at the AMALEA - Advances and applications of machine learning and AI- International Workshop, September 19, 2024.
Panelist, workshop “A Reflection on (Declining) Student Performance: Implications for STEM Higher Education”, at the RUG-STEM ED symposium “The Role of STEM Education in a Changing World”, February 20, 2024.
Speaker, Webinar: presentation of the 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, 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)