Find Academic Supervisors

Kaare MikkelsenView profile

Associate Professor

• Biomedical Signal Processing
• Sleep Science
• Wearable EEG Systems
• +3 more

Kaare Mikkelsen is an Associate Professor in the Department of Electrical and Computer Engineering at the Faculty of Technical Sciences, Aarhus University, specializing in biomedical engineering with a focus on ear-EEG technology for sleep and auditory neuroscience applications. His research pioneers non-invasive monitoring systems using ear-centered EEG sensors, developing machine learning frameworks for automatic sleep staging and auditory attention decoding. Key contributions include personalized sleep scoring algorithms that adapt to individual physiological variations and deep learning models for decoding brain responses to natural speech, enabling applications in hearing assistance and brain-computer interfaces. Recent publications (2022-2025) demonstrate a cohesive research trajectory centered on overcoming real-world challenges in wearable EEG: improving long-term reliability through electrode configuration studies, developing standardized data pipelines, and validating ear-EEG against clinical polysomnography. His work bridges engineering innovation with clinical sleep medicine, emphasizing at-home deployment and user-specific adaptation. Dr. Mikkelsen leads significant research projects including: Event based attention detection (2021-2024) Ear-EEG sleep monitoring (2015-present) His work receives funding from Danish research councils and involves collaborations with clinical partners for validation studies in naturalistic settings. As part of Aarhus University's Biomedical Engineering group, he utilizes advanced laboratories for sensor development and signal processing, contributing to the department's strategic focus on healthcare technology innovation.

• Cloud Computing
• Container Orchestration
• Cloud-Native Applications
• +4 more

Nane Kratzke is a Professor at Lübeck University of Applied Sciences, specializing in cloud computing and cloud-native applications. His research addresses practical challenges in container orchestration, cloud security, and vendor lock-in for small and medium enterprises. He holds a Diplom in Computer Science and a Doctorate in Natural Sciences, though specific institutions are not documented in available sources. Research interests include cloud-native architecture design, Kubernetes orchestration, moving target defenses for cloud security, and cost modeling of cloud services. His work bridges academic research and industry needs, particularly for SMEs seeking cloud portability through multi-cloud strategies and runtime transferability. Analysis of recent publications (2022-2024) reveals a strategic shift toward AI-driven cloud management techniques like prompt engineering, building on foundational contributions in cloud observability, security mechanisms, and transferability frameworks established between 2016-2021. Key recurring themes include mitigating vendor lock-in and enabling seamless application migration across cloud environments. No scientific awards are documented in the provided information sources. Details regarding graduate student advising, research grants, and laboratory facilities are not specified in current datasets, though his publications on programming assessment tools indicate engagement with computer science education.

Sergey KarabasovView profile

Professor

• Computational Fluid Dynamics
• Aeroacoustics
• Aerodynamics
• +5 more

Professor Sergey Karabasov is a leading academic in computational modeling and aeroacoustics at Queen Mary University of London’s School of Engineering and Materials Science . As Director of the Centre for Intelligent Transport , he bridges aerospace engineering with environmental technology and bioengineering. Education: PhD (1999, Moscow State University), DSc (2010, Keldysh Institute) Affiliations: Fellow of the Royal Aeronautical Society (FRAeS), Fellow of the Higher Education Academy (FHEA), Associate Fellow of AIAA (AFAIAA) Research Interests span multiscale fluid dynamics, computational aeroacoustics, and high-performance computing. His work addresses: Future Mobility: Noise reduction in urban air mobility and conventional aircraft Environmental Technologies: Turbulence modeling for renewable energy and climate systems Digital Twins: Physics-based and data-driven simulations for aerospace and bioengineering Article Trends focus on: Hybrid LES-acoustic models for jet noise Multiscale methods in nanofluidics and molecular systems GPU-accelerated algorithms (e.g., CABARET) for complex flows Climate dynamics (Southern Ocean jets, Chandler wobble) Scientific Awards include: Fellowships at Royal Aeronautical Society and Higher Education Academy Associate Fellowship at AIAA Guest Editor for Royal Society Phil.Trans. A theme issues (2014, 2019) Advising includes current PhD student Hussain Ali Abid and alumni working on: Jet noise optimization Graphene suspension rheology Hybrid molecular-continuum simulations Labs & Teams involve the Centre for Intelligent Transport , GPU-Prime.Ltd consultancy, and collaborations with institutions like Cambridge University and Keldysh Institute.

Francis DawsonView profile

Professor

• Energy Systems
• Power Electronics
• Signal Processing in Power Engineering
• +4 more

Professor Francis Dawson is affiliated with the Department of Electrical and Computer Engineering at the University of Toronto , under the Faculty of Applied Science and Engineering . He has been active in teaching and research since 1988, focusing on energy systems, power converters, and electromagnetic modeling. PhD in Electrical Engineering (University of Toronto, 1988) MASc in Electrical Engineering (University of Toronto, 1985) BASc in Electrical Engineering (University of Toronto, 1982) BSc in Physics (University of Toronto, 1978) His research spans static power converters , energy storage systems , signal processing in power applications, and electromagnetic compatibility . Recent publications focus on fault current limiters , digital phase-locked loops , and plasma physics , with keywords indicating strong ties to Electrical Engineering and Materials Science . Scientific accolades include: IEEE Fellow Myron Zucker Student Design Project 1st Prize (2012) K. Yamamoto Best Student Paper Award (2007) F. Farahmand 3rd Best Paper Prize (2005) He has collaborated on industrial projects in power electronics and contributed to the Power Group at the University of Toronto.

• Urban Morphology
• Urban Planning
• Space Syntax
• +7 more

Meta Berghauser Pont is a Professor of Urban Morphology and Urban Planning at Chalmers University of Technology. She leads the Spatial Morphology Group (SMoG), focusing on quantitative analysis of urban form, space syntax, and design theory. Key research themes: urban density, sustainable cities, social-ecological systems, pedestrian movement modeling Authored the 2023 book Spacematrix: Space, Density and Urban Form , redefining density metrics Her work bridges analytical urban morphology with practical urban planning applications, particularly in noise/air quality management, transport infrastructure, and digital twin city modeling. She manages pedagogical development for architecture programs at Chalmers. Active projects include: Digital Twin Cities Centre (EU/VINNOVA) Sustainable Urban Form (Formas) Green Infrastructure Integration (Mistra Urban Futures) Multi-scale Climate Proofing (VINNOVA) Urban Design Calculator (Naturvårdsverket) Her lab develops open-source tools like the Place Syntax Tool (PST) for morphological analysis of cities.

• Solar Physics
• Long-term evolution of solar active regions
• High resolution observations of the solar atmosphere
• +3 more

Ana Belen Grinon Marin is a Scientific Researcher at Stockholm University's Department of Astronomy, specializing in Solar Physics. She joined the Institute of Solar Physics at Stockholm University in October 2024 after completing postdoctoral research at the University of Oslo (2020-2024) and Stanford University (2019-2020). Her work focuses on the long-term evolution of solar active regions and high-resolution observations of the solar atmosphere using both ground-based and space-based observatories. Dr. Grinon Marin earned her PhD in Solar Physics from the Instituto de Astrofísica de Canarias in Spain (2013-2019), where she completed her thesis on 'Long-term evolution of solar active regions' under the supervision of Dr. Héctor Socas Navarro. Prior to this, she obtained a Master in Astrophysics from Universidad de La Laguna (2011-2012) and a combined Bachelor and Master (licenciatura) in Physics from Universidad de Zaragoza and Universidad de La Laguna (2004-2011). Her research primarily centers on solar magnetism, sunspot dynamics, and magnetic field oscillations. She conducts high-resolution observations of the solar atmosphere from both ground-based and space-based observatories, with particular expertise in analyzing vector magnetic field data. Her work often involves studying the long-term evolution of solar active regions, light bridges in sunspots, and torsional oscillations in isolated sunspots. Dr. Grinon Marin's publication record shows a strong focus on solar physics with increasing emphasis on data analysis techniques for solar magnetic field measurements. Her more recent work demonstrates growing expertise in identifying and mitigating bias in solar vector magnetic field data, examining hemispheric biases, and investigating the structure of magnetic fields in the solar polar region. While her primary focus is solar physics, she has also contributed to research on blazars and active galactic nuclei, particularly during her early career. Scientific Awards: PhD Extraordinary Award 2018/2019 from the University of La Laguna, Spain HAO Newkirk Fellowship 2017 Leonardo Da Vinci Fellowship 2013 Dr. Grinon Marin has held prestigious research positions at leading institutions including Stanford University, the University of Oslo, and the High Altitude Observatory. Her work is conducted within the Solar Physics research group at Stockholm University, which focuses on studying the Sun in great detail as the nearest star to Earth. Her research contributes to our understanding of solar activity and its potential impacts on space weather and Earth's environment.

• Wave Energy Conversion
• Floating Offshore Wind Turbines
• Hybrid Wind-Wave Energy Systems
• +3 more

Dr Nataliia Sergiienko is a Senior Lecturer at the School of Electrical and Mechanical Engineering, University of Adelaide. Her research focuses on wave energy conversion, floating offshore wind turbines, and hybrid renewable energy systems, with a particular emphasis on power optimization, coastal erosion mitigation, and autonomous underwater vehicles (AUVs). Research Interests: Wave energy converter design and control Hybrid wind-wave energy systems Coastal protection using offshore wave farms Deep learning for marine energy forecasting Hydrodynamic optimization of floating structures Supervision & Collaboration: Dr Sergiienko co-supervises multiple Honours and PhD projects with colleagues like Prof Ben Cazzolato and Prof Maziar Arjomandi, focusing on floating wind turbines, distributed propulsion aircraft, and CubeSat technology.

Dragan TasićView profile

Professor

• Power Transmission
• Power System Components
• Power Cable Technology
• +6 more

Prof. Dr Dragan Tasić is a distinguished Professor at the Power Engineering Department of the Faculty of Electronic Engineering, University of Niš, Serbia. With decades of academic and research experience, he has established himself as a leading expert in power transmission, power system components, and electrical cable technology. His work spans theoretical research, practical applications, and educational contributions to the field of electrical engineering. Dr. Tasić's research interests focus on power transmission systems, electrical cable technology, relay protection, power system analysis, and grounding systems. His work particularly emphasizes thermal aspects of power cables, electrical energy losses in distribution networks, and innovative solutions for improving cable performance. He has pioneered research on thermal management of underground cables, including the use of hydronic asphalt pavements and cool pavements to eliminate hot spots and increase cable ampacity. His publication record demonstrates consistent productivity with numerous books, journal articles, and conference papers spanning over three decades. Recent research (2019-2023) shows continued innovation in areas such as thermal aging management of underground cables, photovoltaic system integration, and optimization of distribution networks with energy storage. His work frequently employs advanced computational methods including Finite Element Method (FEM) and hybrid optimization algorithms. Dr. Tasić has led and participated in numerous significant research projects funded by Serbian government agencies, focusing on energy efficiency, power system optimization, and technological improvements in electrical distribution networks. His work has practical applications in the Serbian power industry and contributes to international knowledge in electrical engineering. As an educator, Dr. Tasić has contributed to curriculum development and has authored multiple textbooks that are widely used in electrical engineering education in Serbia. His teaching focuses on core power engineering subjects including power transmission, electrical networks, and power cable technology.

Hendrik BaierView profile

Assistant Professor

• Artificial Intelligence
• Planning
• Search Algorithms
• +5 more

Hendrik Baier is an Assistant Professor in the Information Systems group at Eindhoven University of Technology (TU/e), where he joined in 2022. His research focuses on creating agents capable of succeeding in complex decision-making tasks to help human users solve real-world problems. His work spans planning for long-term goals, learning in unknown environments, and explainability of AI systems for effective human-AI interaction. Dr. Baier's research interests center on planning and search algorithms, reinforcement learning, and explainable AI systems. His work investigates how AI can think ahead and explain its reasoning process, particularly in sequential decision-making contexts. He applies these techniques to practical domains including logistics and transportation, smart manufacturing, and sustainable energy systems. His research bridges theoretical foundations with real-world applications through collaborative projects with industry partners. Analysis of his recent publications reveals a strong focus on explainability in sequential decision-making, with increasing integration of large language models to enhance traditional planning algorithms. His work spans theoretical foundations of Monte Carlo Tree Search, programmatic policy generation, multi-agent reinforcement learning, and practical applications of these techniques. A notable trend is the growing emphasis on human-AI collaboration, where AI systems must not only perform well but also effectively communicate their reasoning to human users. Dr. Baier actively collaborates with researchers across multiple institutions, including CWI Amsterdam where he maintains an affiliation, and has participated in significant interdisciplinary efforts such as the Dagstuhl Seminar on Explainable AI for Sequential Decision Making. His research group at TU/e works closely with industry partners to translate fundamental research into practical applications. He is affiliated with EAISI (Eindhoven Artificial Intelligence Systems Institute) and contributes to the Decision Making with Artificial Intelligence educational program at TU/e. His laboratory work focuses on developing benchmark environments and frameworks that enable rigorous evaluation of decision-making algorithms, with recent contributions including MOMAland for multi-objective multi-agent reinforcement learning.

Jan AllbeckView profile

Associate Professor

• Artificial Intelligence
• Computer Game Technology
• Computer Graphics

Jan Allbeck is an Associate Professor in the Department of Computer Science and Associate Dean of the Honors College at George Mason University's College of Engineering and Computing. She advises honors students in Applied Computer Science and Computer Science, while teaching courses on game design, computer graphics, and special effects. PhD, Computer and Information Science, University of Pennsylvania MSE, Computer and Information Science, University of Pennsylvania BS, Computer Science, Bloomsburg University of Pennsylvania BA, Mathematics, Bloomsburg University of Pennsylvania Allbeck's research focuses on the intersection of animation, artificial intelligence, and psychology, particularly in simulating virtual humans and intelligent crowds. She develops frameworks for behavioral realism, agent decision-making, and crowd dynamics, with applications in virtual reality and cybersecurity training. As director of the Games And Intelligent Animation (GAIA) Lab, she explores advanced simulation techniques including semantic virtual environments, parameterized memory models, and high-density autonomous crowd systems. Her work emphasizes creating agents that can interact plausibly with humans and environments.

• Chirality and Stereochemistry
• Separation Science
• Chromatography
• +4 more

Dr. Giulia Mazzoccanti is a Research Fellow at the Department of Chemistry and Drug Technologies, Sapienza University of Rome. She holds a PhD in Pharmaceutical Sciences from Sapienza University of Rome (2018) and an MSc in Pharmaceutical Chemistry and Technology (2015) with top honors. Her academic appointments include her current position as Research Fellow (2021-present), Postdoctoral Researcher at Sapienza University of Rome (2019-2021), and upcoming Visiting Researcher position at CIC biomaGUNE, Spain (Oct 2024-Mar 2025). Dr. Mazzoccanti's research focuses on: Chirality and stereochemistry in natural and synthetic compounds Chiral stationary phases: synthesis and application in UHPLC, UHPSFC Absolute configuration assignment and stereostability of chiral systems Separation and profiling of cannabinoids (CBC, Δ⁹-THC) Functionalized nanomaterials (carbon nanodots) Epimeric peptide impurities in pharmaceutical products Her work demonstrates a strong integration of theoretical and experimental approaches to solve complex problems in separation science and stereochemistry. She has developed advanced techniques for unraveling the complexity of natural substances, ranging from small chiral molecules to large proteins, with particular emphasis on chiral separations using innovative stationary phases. Dr. Mazzoccanti has published 43 peer-reviewed articles (2016-2024) with an H-index of 12 and 506 citations (Scopus, April 2024). Her research has appeared in high-impact journals including Journal of Organic Chemistry, Chirality, Journal of Natural Products, TrAC, Analytical Chemistry, and ChemCatChem. Her publication record shows a consistent trajectory of scholarly output with increasing impact in the fields of chiral separations, natural products chemistry, and pharmaceutical analysis. She has received recognition through invitations to speak at international conferences including HANDS 2024 – International School on Chirality (Como, Italy), Extreme Chromatography Workshop (CNR Rome, 2023), and Global Summit on Catalysis and Chemical Engineering (Rome, 2023). Her scientific service includes: Topic Editor for MDPI journals: Molecules, Biomolecules, Metabolites, Separations Reviewer for journals: RSC Advances, Cannabis and Cannabinoid Research, etc. Member of the Local Scientific Committee – Chirality 2023, Rome Dr. Mazzoccanti is actively involved in research funding as Principal Investigator of two research agreements (2023, 2024) with Fresenius Kabi iPSUM, focused on stereoselective high-performance separations. She also participates in university-funded major research projects such as MACbyMOCC (asymmetric catalysis in flow). Her teaching activities include: Organic Chemistry (in English), 6 CFU, BSc in Molecular Biology, Medicinal Chemistry and Computer Science for Pharmaceutical Applications (48 hours) Organic Chemistry and Natural Products Chemistry, 5 CFU of 9, BSc in Applied Pharmaceutical Sciences (40 hours) Lecture on chiral selector design for enantiodiscrimination for PhD in Chemistry, University of Milan Teaching module titled "Advanced techniques in separation science for unraveling the complexity of natural products and (bio)pharmaceuticals" for PhD in Molecular Design and Characterization for Health

• Sustainability oriented innovation management
• Collaborative Value Creation
• Regenerative Business Models
• +4 more

Stephan Hankammer serves as Professor for Sustainable Management, Innovation and Entrepreneurship at Alanus University of Arts and Society, where he also holds the position of Pro-Dean of the Business Department. He leads the Sustainable Business program, teaching courses in Sustainable Entrepreneurship, Sustainability Management, and Innovation Management. His research focuses on business models that actively contribute to the regeneration of ecological and social systems within planetary boundaries, moving beyond mere sustainability toward restorative business practices. Hankammer completed his doctoral studies at RWTH Aachen University with a focus on collaborative value creation from a sustainability perspective. He co-founded and serves as Scientific Director of the Institute for Regenerative Management (REGWI), a research institute affiliated with Alanus University. His academic background includes interdisciplinary studies in European Studies and Philosophy at Philipps-Universität Marburg and Business Administration at Westfälische Wilhelms-Universität Münster, with additional studies in Spain through ERASMUS and DAAD scholarships. Hankammer's research examines four key areas: the role of collaboration between stakeholders in sustainable business models, regenerative business principles that actively improve ecosystems, the dual challenge of digital and sustainable transformation, and business models that place the common good at their center. His work bridges academic research with practical applications, focusing on how businesses can transform to operate within planetary boundaries while serving societal needs. His publication record shows consistent output in high-impact journals such as Journal of Cleaner Production and Journal of Business Economics, with research themes centered on sustainable business models, degrowth economics, and the intersection of mass customization with sustainability. His work demonstrates a clear progression from examining sustainable business practices toward more transformative regenerative business models. Best paper presentation award at European Roundtable for Sustainable Consumption and Production Conference (ERSCP) 2017 Hankammer actively advises students and collaborates on research projects including "Industry 4.0 from a Sustainability Perspective" and "Regenerative Business Models" with multiple social impact companies. He serves on the editorial board of the International Journal of Sustainable Design and regularly reviews for prominent sustainability journals. At Alanus University, Hankammer leads the Chair for Sustainable Management, Innovation and Entrepreneurship, which focuses on developing conditions, logics, and methods for regenerative, circular, and co-creative business practices. His work has significant implications for businesses seeking to move beyond sustainability toward active regeneration of ecological and social systems.

Katrien VerbertView profile

Professor

• Human-Centered AI
• Explainable AI
• Interactive Recommender Systems
• +5 more

Katrien Verbert is a Professor at KU Leuven in the Department of Computer Science within the Faculty of Engineering Sciences. She leads the AUGMENT research group, an imec research group focused on Human-Centered AI. Her work spans multiple institutes including DigiSoc – KU Leuven Institute for Digital Society and Leuven.AI - KU Leuven Institute for Artificial Intelligence. She also serves as Program Director of the POC Digital Humanities for the Faculty of Engineering. Her research focuses on creating AI systems that amplify and augment human abilities while preserving human control. This work aims to make AI systems more productive, enjoyable, and fair through visualisation and interaction techniques across various hardware platforms. Verbert investigates how to enable end-users to understand AI model rationale and steer models with input and feedback to increase appropriate trust, acceptance, and accuracy while empowering users as active participants in data-driven solutions. Verbert's research spans applications in learning analytics, precision agriculture, healthcare, media consumption, digital humanities, food & nutrition, fintech, and human resources. Her work emphasizes interactive explanation methods that improve model understanding while enhancing users' ability to steer and refine AI models through domain knowledge. She leads multiple major research projects through 2029 focusing on human-centered explainable AI across diverse application domains. Human-centered Explainable AI Interactive Model Steering Healthcare Applications of AI Educational Technology and Learning Analytics Digital Humanities and AI Collaboration Motivational Design Techniques Verbert has presented her work at prestigious conferences including CHI, Aachen AI Week, and EXPLAIN'AI events. She actively supervises PhD candidates and master's students, with several supervised theses receiving recognition. Her research group continues to advance the field of human-AI interaction through numerous publications and real-world applications.

Harish GopalakrishnanView profile

Researcher

• Combustion Engineering
• Thermoacoustics
• Sustainable Energy
• +3 more

Dr. Harish Gopalakrishnan is a Researcher at Zurich University of Applied Sciences' School of Engineering, affiliated with the IEFE Distributed Thermal Energy Systems department. His work focuses on combustion dynamics, thermoacoustic stability, and sustainable energy systems, particularly for hydrogen-based and carbon-free fuels. Research Interests: Thermoacoustic stability analysis in combustion systems Hydrogen and sustainable aviation fuel combustion Flame dynamics and autoignition front propagation Reactor-network modeling for emissions prediction Hydrodynamic stability of swirl flows Publication Trends: His publications over the past seven years emphasize hydrogen combustion systems, intrinsic thermoacoustic instabilities, and modeling frameworks for sustainable fuel applications. Recent work explores transverse thermoacoustic mode prediction and flame response to velocity oscillations. Projects: He leads combustion research initiatives including "Combustion dynamics of spray flames operating on sustainable aviation fuels" and "Thermoacoustic analysis of hydrogen flames in micro/meso-scale combustion systems" , with ongoing collaborations at institutions like IIT Madras and ASME Turbo Expo. Labs & Teams: Dr. Gopalakrishnan contributes to the IEFE Distributed Thermal Energy Systems lab at ZHAW, focusing on advanced combustion technologies for aerospace and energy applications.

Gareth AlexanderView profile

Lecturer

• Architectural Technology
• Built Environment
• Low Energy Building
• +3 more

Gareth Alexander serves as a Lecturer in Architectural Technology at Ulster University, holding dual affiliations with the Belfast School of Architecture & the Built Environment and the Faculty of Computing, Engineering and the Built Environment. His academic profile shows active engagement across Ulster's Belfast and Jordanstown campuses. His research interests focus on the practical application of architectural technology with emphasis on: Low Energy Building design and implementation Performance gap analysis between design intentions and actual building outcomes Mental wellbeing considerations in architectural design Spatial layout effects on user experience and learning environments Technology integration throughout the building lifecycle Dr. Alexander's publication record spans from 2010 through 2018, with concentrated output during 2016-2018. His work demonstrates consistent focus on bridging theoretical architectural concepts with practical construction applications, particularly examining how technological advancements can improve building performance and user experience. The research shows strong connections to sustainable development goals related to sustainable cities and communities. As an educator, Dr. Alexander has contributed significantly to architectural technology pedagogy, investigating how space configuration, technological tools, and teaching methodologies impact student learning in architectural environments. His scholarship includes editing conference proceedings for the 7th International Congress of Architectural Technology and developing assessment frameworks for building effects on mental wellbeing.