Machine Learning for Building Performance Professors and Supervisors in Netherlands | ApplySharif

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Showing 31-45 of 48 supervisors

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Sam SolaimaniView profile

Associate Professor

Nyenrode Business UniversiteitNetherlands

Dr. Sam Solaimani is an Associate Professor at Nyenrode Business University's Center for Marketing and Supply Chain Management, with an adjunct role in Technology & Operations Management at the American University of Bulgaria. He holds senior positions at Accenture Netherlands focusing on data-led transformation and maintains visiting scholar affiliations with institutions including UC Berkeley, Delft University of Technology, and Aalto University. His educational background includes: PhD in Business Model Innovation from Delft University of Technology MSc (Cum Laude) in Business Information Systems from University of Amsterdam BSc in Information Science from Utrecht University Professional certifications: Lean Master Trainer (McKinsey), Lean Black Belt, Scaled Agile Framework (SPC) Solaimani's research integrates operations management with emerging technologies, emphasizing: End-to-end process optimization across supply chains Synergistic application of Lean principles to innovation ecosystems Sustainability metrics in manufacturing and construction AI adoption frameworks for organizational transformation Cross-sector business model innovation in networked enterprises His scholarly output demonstrates consistent focus on operational excellence, with recent works exploring: AI implementation roadmaps in financial services and manufacturing Sustainable construction through waste-reduction methodologies Digital transformation enablers for data-driven business models Integration of lean startup principles in traditional industries

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Brian SetzView profile

Researcher

University of GroningenNetherlands

Brian Setz is an academic researcher with a focus on sustainable computing and distributed systems. His work intersects Internet of Things (IoT) , Machine Learning , and Energy Engineering , contributing to advancements in Sustainable Data Centers and Smart Buildings . He has collaborated on studies addressing cloud-native software energy consumption, immersion cooling technologies, and CO2 emission-aware AI training. Key Collaborations: Frequent co-authorship with researchers like Vincenzo Andrikopoulos, Kourosh Haghshenas, and Marco Aiello. Research Impact: Published in venues such as ChemRxiv, Energy Informatics, and ACM/SPEC ICPE, with notable open-access datasets and peer-reviewed contributions. UN SDG Alignment: Work supports global goals for affordable clean energy and climate action through energy-efficient systems.

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Onuralp UlusoyView profile

Researcher

Utrecht UniversityNetherlands

Dr. Onuralp Ulusoy is a Researcher at Utrecht University's Faculty of Science, specifically within the Software Technology for Learning and Teaching department. Based at the Buys Ballot Building in Utrecht, he focuses on the intersection of privacy, artificial intelligence, and collaborative systems. His research spans Applied Data Science and Human-centered Artificial Intelligence, with particular emphasis on privacy mechanisms in online environments. Ulusoy's work explores how privacy norms emerge and can be managed in collaborative settings, especially within social networks. His publication record shows a clear trajectory in privacy research, evolving from foundational work on privacy auctioning mechanisms to more recent applications in learning analytics. His most cited work, 'PANOLA: A Personal Assistant for Supporting Users in Preserving Privacy' (2022), demonstrates practical applications of his theoretical frameworks. Recent publications indicate an expansion into educational technology with tools like 'mAIchart' for primary school educators. As a researcher at Utrecht University, Ulusoy has established himself as a specialist in privacy-preserving collaborative systems, with publications spanning top conferences in multi-agent systems, access control, and social network analysis.

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S. ZijlstraView profile

Professor

Delft University of TechnologyNetherlands

S. Zijlstra is a Professor at the Delft University of Technology’s Faculty of Architecture and the Built Environment, specializing in Real Estate Management. They hold a PhD in Management in the Built Environment (2011) and contribute to UN Sustainable Development Goals, particularly in education and sustainable cities. Their research focuses on housing management, urban redevelopment, heritage preservation, and policy analysis. Key areas of expertise include adaptive reuse of heritage buildings, self-provision DIY housing, and urban policy evaluation. They have led projects like the KaDEr Gelderland initiative, analyzing heritage buildings’ sustainability and adaptive reuse strategies. Their work bridges academic research with practical implementation, emphasizing Dutch urban development contexts. Edited textbooks like Inzicht: Academische Vaardigheden voor Bouwkundigen . Published over 90 research outputs, including books, conference papers, and peer-reviewed articles. Actively collaborated with institutions on heritage revitalization and urban policy. Research outputs highlight methodologies like the ABC Research Matrix for building analysis and emphasize interdisciplinary approaches to urban challenges.

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Alex DonkersView profile

Research Fellow

Eindhoven University of TechnologyNetherlands

Alex Donkers is a Postdoctoral Researcher at Eindhoven University of Technology, working within the Information Systems in the Built Environment group as part of the Design and Decision Support Systems research program. His research is conducted in close collaboration with KPN within the SmartTWO initiative and broader KPN+Universities collaboration. Dr. Donkers obtained his MSc in Construction Management and Engineering cum laude in 2019, following his BSc in Architecture, Urbanism and Building Sciences in 2017, both from Eindhoven University of Technology. After professional experience at Sweco, he returned to academia for doctoral research on semantic web technologies and digital twins within the SmartTWO Flagship Telecom project. He currently works as a postdoctoral researcher in the ITEA4 FireBIM project focused on harmonizing fire regulations across European borders using semantic technologies. His research interests span multiple interconnected domains within the digital transformation of the built environment: Linked building data and semantic web technologies Semantic digital twins for building environments Occupant-centric decision-making and indoor comfort modeling Sensors, IoT, and building performance analytics Neuro-symbolic AI applications in the built environment Smart cities infrastructure and urban mobility systems Alex chairs the W3C Linked Building Data Community Group and co-organizes LDAC (Linked Data in Architecture and Construction). He teaches and supervises MSc and EngD students at TU/e and has served as a visiting researcher at Ruhr-University Bochum. His scholarly work has been published in high-impact journals including Automation in Construction, Semantic Web Journal, and Building and Environment. As an open-source contributor, Alex has developed tools like LBDviz and ontologies including BOP and OFO. His Vertigo building case study demonstrates how integrated data from diverse sources can create knowledge graphs supporting advanced data mining for building performance optimization. His current research focuses on bridging the gap between theoretical building design and actual occupant experience through innovative digital twin applications that combine data integration, semantic technologies, and machine learning.

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Jean-Paul LinnartzView profile

Professor

Eindhoven University of TechnologyNetherlands

Prof. Jean-Paul Linnartz is a part-time Professor at Eindhoven University of Technology's Department of Electrical Engineering within the Signal Processing Systems group. He specializes in algorithms for intelligent lighting systems, wireless communication networks, and security with noisy data. His work bridges academia and industry, notably leading Philips Research teams in security, wireless connectivity, and IC design, and currently steering LiFi research at Signify (Philips Lighting). Education: MSc in Electrical Engineering (1986), TU/e PhD in Traffic Analysis of Wireless Networks (1991), Delft University of Technology Research Interests: LiFi and VLC technology optimization LED photonics and thermal modeling Circadian rhythm-informed lighting systems Secure communication protocols His work emphasizes practical industry challenges transformed into foundational research, yielding 75+ patents and 11,000+ citations. Grants & Innovation: Co-founded multiple ventures commercializing research Senior Director and Research Fellow roles at Philips Leading the COST Action NEWFOCUS on optical wireless tech Labs/Teams: Signal Processing Systems group at TU/e, Signify's LiFi R&D division.

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Guang HuView profile

Assistant Professor

Eindhoven University of TechnologyNetherlands

Guang Hu is an Assistant Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), affiliated with the Energy Technology group, EIRES, and EAISI. His research integrates computational modeling, machine learning, and sustainable energy systems to address urban environmental challenges. Ph.D. in Nuclear and New Energy Technology, Tsinghua University (2019) Postdoctoral Researcher, Karlsruhe Institute of Technology, Germany Researcher, Paul Scherrer Institut (PSI), Switzerland Guang Hu's research focuses on machine learning-assisted modeling , multi-scale modeling , and sustainable energy applications , particularly in thermal and nuclear energy systems . His work aims to enhance urban resilience and energy efficiency through data-driven and physics-informed computational methods. He is actively involved in advancing solutions for nuclear waste management, solar energy integration in aging urban environments, and thermal-hydraulic process optimization. The recent publications highlight a strong trend in applying machine learning and surrogate modeling to complex energy systems, especially in nuclear waste management and urban solar energy . His work bridges computational efficiency with real-world sustainability challenges , emphasizing practical applications in full-scale experiments and geochemical processes . The interdisciplinary nature of his research spans nuclear engineering , urban sustainability , and artificial intelligence . Scientific Awards and Recognition: Ph.D. with distinction, Tsinghua University Active reviewer for leading journals in computational modeling and energy Contributor to UN Sustainable Development Goals (SDGs) in clean energy and sustainable cities Guang Hu actively mentors students and collaborates internationally, though specific advisees are not listed. He has participated in significant research collaborations with institutions in Germany and Switzerland and contributes to major conferences such as ICONE and EU PVSEC. His work is supported by ongoing research activities within TU/e’s energy and AI institutes. While specific grants are not detailed, his funding is inferred through sustained research output and international partnerships. He is associated with research initiatives including digital twin development for nuclear waste, surrogate modeling for geochemical processes, and performance assessment of solar systems in Dutch urban contexts. These efforts are part of broader teams at TU/e focused on energy transition, AI for engineering, and sustainable infrastructure.

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Chaobo ZhangView profile

Researcher

Eindhoven University of TechnologyNetherlands

Chaobo Zhang is a postdoctoral researcher at the Eindhoven University of Technology, specializing in fast building performance simulation and smart building energy management. He belongs to the Building Performance Group within the Department of the Built Environment. Education: Bachelor in Heating, Ventilation and Air Conditioning, Harbin Institute of Technology (2017) PhD in Refrigeration and Cryogenic Engineering, Zhejiang University (2022) His research integrates artificial intelligence technologies into building systems to enhance energy efficiency and fault detection. Key areas include generative pre-trained transformers (GPT) for energy load prediction, convolutional neural networks for computational fluid dynamics, and domain-specific large language models for HVAC fault diagnosis. The 15 most recent publications highlight trends in AI-driven building energy management, focusing on technologies like graph convolutional networks for uncertainty quantification, hybrid data-driven physics-based cooling demand models, and self-attention variational autoencoders for digital twin parameter imputation. His work addresses challenges such as data imbalance, federated learning for data silos, and real-time anomaly detection. Scientific Awards: 2020 Best Paper Award, Energy and Built Environment Chaobo collaborates internationally and contributes to UN Sustainable Development Goals through energy-efficient building technologies. His expertise spans fault detection, machine learning, and computational optimization in building systems.

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Pieter-Jan HoesView profile

Assistant Professor

Eindhoven University of TechnologyNetherlands

Pieter-Jan Hoes is an Assistant Professor in the unit Building Physics and Services at Eindhoven University of Technology's Department of the Built Environment. His work focuses on computational design optimization of high-performance buildings across energy, comfort, and occupant behavior dimensions. Operational manager of EngD program Smart Buildings & Cities (2014-2019) Active in international scientific committees (Building Simulation, BauSim, CLIMA) Co-chair of IBPSA World website committee Research interests include: Multi-objective design optimization Performance robustness analysis Energy flexibility in buildings Occupant behavior modeling Surrogate machine learning models Decarbonization strategies Recent publications demonstrate: 80% carbon emission reductions through mobile heat batteries 14.9% energy savings from optimized façade systems Advanced sensitivity analysis techniques Decision support frameworks for renovation Scientific recognition includes: Best research paper award (Energy and Buildings, 2017) Best PhD student paper (ICEBO 2010)

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Sandra S. LucasView profile

Associate Professor

Eindhoven University of TechnologyNetherlands

Sandra S. Lucas is an Associate Professor in the Department of the Built Environment at Eindhoven University of Technology (TU/e), specializing in autonomous manufacturing of construction materials and 3D concrete printing. Her research focuses on developing sustainable, functionally advanced materials using machine learning and data science. She leads NWO-funded projects on smart 3D-printed concrete and has prior experience as a Senior Lecturer at the University of Greenwich. Education: BEng in Ceramic and Glass Engineering, University of Aveiro (2008) MSc in Materials Technology, University of Aveiro (2008) PhD in Civil Engineering (Functional Mortars for Sustainable Construction), University of Aveiro (2011) Research Interests: Exploring additive manufacturing for eco-friendly construction materials, phase change materials, and material functionality adaptation. Her work emphasizes sustainability, circularity, and integration of nanotechnology and AI in materials development. Publications: Over 55 peer-reviewed articles, with recent focus on 3D-printed mortars, waste utilization, and thermal efficiency improvements. Key topics include material composition, anisotropy, and lifecycle assessment. Awards: NWO Grant for Additive Manufacturing of Functional Construction Materials (2019) NWO Grant for Sustainable 3D-Printed Concrete in Zero-Energy Buildings (2019) Teaching & Leadership: Teaches courses like 'Experimental Research of Structures and Materials' and 'Bouwkundewinkel'. Active in academic committees and international conferences, advocating for sustainability in construction. Labs & Collaborations: Leads the Concrete Structures research group at TU/e. Collaborates with institutions like Fraunhofer Institute and Delft University, focusing on industry-academia partnerships for material innovation.

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Ravi SharmaView profile

Researcher

Eindhoven University of TechnologyNetherlands

Ravi Sharma is a postdoctoral researcher at the Department of Built Environment at Eindhoven University of Technology, specializing in Industrial Internet of Things (IIoT), Industry 4.0, and data-driven sustainable systems. He earned his PhD from Budapest University of Technology and Economics and a Master's from Indian Institute of Technology, Patna. Role: Researcher focusing on IIoT, ERP integration, and secure data transfer. Projects: Active in the WILSON project for federated digital twinning in building management. Sharma’s research spans IIoT, digital twins, 5G-enabled systems, and blockchain. His work addresses reducing human intervention in industrial data flows, enhancing security, and aligning technology with UN Sustainable Development Goals (SDGs). Recent publications highlight UAV-assisted code dissemination, secure pipeline monitoring, and AI-driven societal advancement. His publications (2025-2020) emphasize IIoT, Industry 4.0, and sustainable computing. Trends include blockchain for data integrity, 5G for real-time positioning, and semantic frameworks for interoperability in construction. Sharma's expertise contributes to SDGs like sustainable cities and responsible consumption. He collaborates across disciplines, including with the WILSON project team for lifecycle building management.

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Marcel G.L.C. LoomansView profile

Associate Professor

Eindhoven University of TechnologyNetherlands

Marcel G.L.C. Loomans is an Associate Professor in the Department of the Built Environment at Eindhoven University of Technology (TU/e). His research focuses on Indoor Environmental Quality (IEQ), particularly thermal comfort, air quality, and ventilation systems. He has advised over 60 MSc students and 5 PhD students, and his work spans healthcare environments, sustainable energy, and computational fluid dynamics. Education: PhD in 1998 (topic: indoor airflow measurement/simulation), followed by roles at TNO and TU/e. He has led numerous national/international projects, including the DREAm initiative and CLAIRE air quality programs. His expertise includes building physics and ventilation system design. Research interests emphasize real-world in-situ assessments combining physical sensors and human perception. Current projects investigate daycare ventilation, dementia care environments, and airborne infection control strategies. Key awards include the B.J. Max prijs (2000), Energy and Buildings Best Paper Award (2019), and REHVA Education Award (2021). He has authored/co-authored over 300 publications and serves as a reviewer for journals like Building and Environment . Grants and collaborations involve € millions in research funding, with partnerships in healthcare, education, and energy sectors. He leads TU/e's Healthy Building Movement initiatives and contributes to national societies like ISIAQ and TVVL. Teaching responsibilities include courses on building performance and sustainable living environments. His lab work integrates multidisciplinary approaches to optimize indoor environments for health and productivity.

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Eleni SmyrouView profile

Lecturer

Hanze University of Applied SciencesNetherlands

Eleni Smyrou is a Lecturer-researcher at the Research Centre for Built Environment – NoorderRuimte, Hanze University of Applied Sciences, Groningen. Her research focuses on earthquake engineering, structural safety, and seismic strengthening techniques for masonry and timber structures. Affiliation: Hanze University of Applied Sciences, Groningen Collaborations: Ihsan Bal, Özlem Çavdar, Francesco Messali, Jan Rots Her research spans seismic behavior of masonry and timber structures, crack detection using AI, and seismic risk mitigation in heritage buildings. She has led projects on hybrid testing of timber structures, seismic monitoring in Groningen, and AI-driven crack segmentation. Recent work includes experimental characterization of cavity wall connections and mechanical modeling of timber-masonry interactions. Key Research Areas Earthquake Engineering AI Applications in Structural Monitoring Timber-Masonry Connections Heritage Building Seismic Enhancement Damage Accumulation Analysis Hybrid Structural Testing Smyrou has participated in international conferences like SAHC 2023 and workshops on timber floor dynamics. Her publications emphasize seismic code compliance, crack detection methodologies, and structural resilience in earthquake-prone regions.

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Zoran KapelanView profile

Professor

Delft University of TechnologyNetherlands

Professor Zoran Kapelan serves as Chair of Urban Water Infrastructure within the Department of Water Management at Delft University of Technology's Faculty of Civil Engineering and Geosciences. With over 30 years of experience in water engineering, he joined TU Delft in 2018 after leading the Water and Environment Group at the University of Exeter for 19 years, following a decade in international consultancy. His research spans smart water systems, hydroinformatics, and sustainable urban water infrastructure management. Key focus areas include AI-driven solutions for drinking water distribution (leakage detection, pressure management), sewer systems optimization (blockage prediction, sustainable drainage), asset management, and flood risk assessment. He pioneers methodologies integrating artificial intelligence, real-time control, and decision-making under uncertainty to address climate change adaptation and circular economy principles in water systems. Recent publications (2024-2025) reveal strong trends in deep learning applications for infrastructure monitoring (sewer crack detection, floating litter quantification), resource recovery assessment frameworks, and advanced modeling of non-Newtonian fluid dynamics in wastewater systems. His work increasingly emphasizes circular economy metrics, environmental risk assessment of novel materials, and co-developed sustainable solutions through serious gaming approaches. Editor, Journal of Water Resources Planning and Management (ASCE) Associate Editor, Water Resources Research Member, IWA Digital Water Steering Committee Member, External Scientific Advisory Council of KWR Prof. Kapelan has secured over €10 million in research funding across 50+ EU, RCUK, and industry grants. His supervision portfolio includes 40+ PhD students and 25+ postdocs, with significant industry impact through commercialized technologies like AI-based pipe burst detection systems deployed by United Utilities serving 7 million customers. He coordinates TU Delft's Urban Drainage and Water Management course while contributing to asset management and water transport curricula. The Urban Water Infrastructure group under his leadership maintains strong industry partnerships with water utilities globally, focusing on translating research into operational solutions for real-time monitoring, predictive maintenance, and climate-resilient infrastructure design.

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Ed NijssenView profile

Professor

Eindhoven University of TechnologyNetherlands

Ed Nijssen is a Professor of Technology Marketing at the Eindhoven University of Technology (TU/e) within the Innovation, Technology Entrepreneurship and Marketing (ITEM) group of the School of Industrial Engineering. His research integrates marketing, innovation, and sales strategy, with a focus on servitization and digital transformation in B2B contexts. He has held visiting professorships at Michigan State University, NYU, and Bocconi University. Research interests include: Servitization (solutions-based business models) Marketing/Sales-R&D interface Digital solution selling Brand advocacy in frontline services Product-service systems Scientific contributions span over 143 research outputs, including systematic reviews on B2B branding and effectual entrepreneurial marketing. His awards include multiple Teacher of the Year recognitions and publication prizes. He teaches courses in Entrepreneurial Marketing , Marketing and Innovation , and Validation to Sales , while serving on editorial review boards for Industrial Marketing Management and Journal of Product Innovation Management .

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