Find Academic Supervisors

• Nuclear Reactor Safety
• Reactor Dynamics
• Nuclear Accident Analysis
• +11 more

Dr. Sören Kliem is the Head of the Reactor Safety Department at the Institute of Resource Ecology, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), a leading German research center in nuclear and environmental sciences. He holds a PhD from the Technical University Dresden and has been a key figure in reactor safety research since joining Forschungszentrum Rossendorf in 1994. He leads a department focused on advanced nuclear safety analysis, code development, and experimental validation. Education: PhD, Technical University Dresden, Faculty of Machinery Building, 2010 Diploma, Moscow Power Engineering Institute (MEI), 1992 His research interests include reactor dynamics, nuclear accident analysis, thermal-hydraulics, neutron kinetics, coolant mixing in PWRs, and the development and validation of coupled simulation codes such as DYN3D and ATHLET. He is actively involved in EU-funded projects like Horizon 2020 R2CA, McSAFER, and EURATOM EASI-SMR, focusing on the safety of conventional and innovative reactor designs, particularly small modular reactors (SMRs). The 15 most recent publications reflect a strong focus on reactor safety modeling, including boron dilution transients, severe accident management, code validation using experimental data (e.g., from ROCOM), and the application of high-fidelity simulation tools (CFD, coupled codes) to nuclear safety problems. His work emphasizes both numerical simulation and experimental benchmarking, particularly in the context of PWRs and VVER reactors. Scientific Projects: Horizon 2020 R2CA: Reduction of radiological consequences of design basis and design extension accidents (2019–2023) Horizon 2020 McSAFER: High-Performance Advanced Methods and Experimental Investigations for the Safety Evaluation of Generic Small Modular Reactors (2020–2023) Horizon EURATOM EASI-SMR: Ensuring Assessment of Safety Innovations for SMR (2024–2028) Kliem plays a central role in advising and leading collaborative research efforts, supervising junior researchers, and contributing to international benchmarking initiatives. He has no listed formal students, but his leadership implies significant mentoring. He is involved in multiple research facilities, including the ROCOM and TOPFLOW test facilities, which are critical for experimental validation of safety codes. Laboratories and Facilities: ROCOM (Rossendorf Coolant Mixing) test facility – for studying coolant mixing and boron dilution TOPFLOW facility – for two-phase flow and safety experiments DYN3D/ATHLET code development and validation environment

Mario StankeView profile

Professor

• Bioinformatics
• Computational Genomics
• Machine Learning
• +7 more

Prof. Dr. Mario Stanke is a Professor of Bioinformatics at the Institute of Mathematics and Computer Science, University of Greifswald, Germany. He leads a research group focused on probabilistic models, machine learning, and algorithm development for genome annotation and biological sequence analysis. His research interests lie in probabilistic models and machine learning methods for structured biological data. He specializes in developing and applying recurrent neural networks , conditional random fields , and hidden Markov models for tasks such as gene prediction, genome annotation, and multiple sequence alignment. His work is instrumental in advancing computational tools for genomics. His most notable contributions include the development of the AUGUSTUS gene prediction program and the BRAKER pipeline, both widely used in the bioinformatics community. His recent publications demonstrate a strong trend in integrating deep learning with traditional statistical models for protein and genome analysis, particularly in multi-genome and comparative annotation frameworks. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: Prof. Stanke supervises bachelor's and master's theses in bioinformatics and computational genomics. While specific grants are not listed, his long-standing research output and leadership in major genome projects suggest active grant funding. He collaborates widely across institutions, as evidenced by co-authorship in large-scale genomics consortia. Labs and Teams: He leads a bioinformatics research group at the University of Greifswald, contributing to the development and maintenance of the AUGUSTUS and BRAKER software suites. The group operates a bioinformatics web server providing gene prediction services and tools.

• Artistic Practice
• Interaction Design
• Audio-Visual Theory
• +7 more

Adriana Sá is a Visiting Professor at Noroff University College and a current board member at Lusófona University Lisbon , where she contributes to CICANT (Centre for Research in Applied Communication, Culture and New Technologies). She holds a PhD in Arts and Computing from Goldsmiths, University of London (2016) and a Fine Arts degree in Painting and Sculpture from the University of Lisbon (1996). Transdisciplinary artist, performer-composer-musician Editor-in-Chief of Live Interfaces Journal Board member at Lusófona University Lisbon Her research integrates artistic practice with interaction design , audio-visual theory , and neuroscience , focusing on sensor technologies, audio-visual instruments, and spatial presence. She designs custom instruments (e.g., zither-software hybrids) to explore the interplay of sound, light, and digital 3D environments. Her publications span Leonardo (MIT Press) , Live Interfaces Journal , and Routledge, with recurring themes in audio-visual mapping , interactive performance , and transdisciplinary methodologies . Her work has been showcased globally at venues like the Aomori Contemporary Art Center and Eyebeam . Artistic Residencies: STEIM, Metronom Electronic Arts Studio, Experimental Intermedia Foundation NY Performance Highlights: Favela Real (2023), Sprouts In-Between (2025), and international festivals like Version Beta and Novas Frequências

• Public Law
• Environmental Law
• Climate Law
• +6 more

Johannes Saurer is a Professor at the Faculty of Law , University of Tübingen, specializing in Public Law, Environmental Law, and Comparative Federalism. His work focuses on the legal frameworks governing energy transitions, climate policy, and European Union regulatory mechanisms. Born in 1975, he holds a Dr. iur. from the University of Bayreuth (2004) and an LL.M. from Yale University (2007). Appointed as a full Professor in 2013, initially at Bielefeld (2013-2014) and currently at Tübingen since 2014. Research interests include energy transition law , EU environmental governance , climate litigation , and federal legal systems . Recent research emphasizes the transformation of EU legal instruments (2023-2026 DFG project), analyzing shifts from directives to regulations and delegated acts. His publications span comparative studies of German, US, and European climate laws , with notable work on cooperative federalism and renewable energy governance . Articles frequently appear in journals like Transnational Environmental Law , Die Verwaltung , and Natur und Recht , highlighting trends in environmental planning , judicial review , and administrative accountability .

Marcel FischerView profile

Associate Professor

• Portfolio Management
• Financial Economics
• Asset Pricing
• +3 more

Marcel Fischer is an Associate Professor in the Department of Finance at Copenhagen Business School. His research focuses on how market imperfections influence portfolio decisions and asset prices, with particular expertise in portfolio management, financial economics, and taxation policies. Fischer has published extensively in top journals such as the Journal of Financial Economics and Review of Finance . His work explores topics including heuristic portfolio rules under tax constraints, homeownership decisions during economic downturns, and the interplay between debt tax shields and interest rates. Recent studies analyze optimal retirement savings strategies and spatial correlations in housing markets. Fischer has collaborated with researchers like Bjarne Astrup Jensen and Natalia Khorunzhina, producing influential papers on topics such as lifecycle portfolio choices and the impact of divorce risk on housing decisions. While no specific awards are listed, his prolific publication record reflects significant academic contributions. His research often integrates closed-form mathematical models with real-world policy implications, emphasizing practical applications in tax-deferred investing and pension planning.

• Civil Law
• Property Law
• Real Estate Management
• +3 more

Dr. Iwona Szymczak is a Professor at the Faculty of Law and Administration of the University of Szczecin, specializing in civil law, property law, and comparative law. Her research focuses on condominium ownership, real estate management, legal aspects of professional corporations, and legal transplantation. She holds a Doctor of Law degree (2004) and a Habilitation degree in Legal Sciences (2020) from Jagiellonian University. She has conducted research at Bluffton Colleges (USA, 1998) and contributes to teaching in civil/commercial law, property law, and family law. Her work emphasizes practical legal solutions in property management and cross-jurisdictional legal frameworks. Publications highlight her expertise in condominium governance, property rights, and comparative legal methodologies. While no awards are explicitly mentioned, her extensive academic output and international collaborations underscore her scholarly impact. She advises on real estate legal frameworks and has contributed to Polish and EU legal harmonization efforts.

• Computer Science Education
• Human-AI Collaboration
• Code Quality Assessment
• +5 more

Sara Hooshangi is an active computer science educator and researcher with a significant publication record spanning from 2003 to 2025. Her work demonstrates a clear evolution from early research in synthetic biology and computational biology to her current focus on computer science education, human-AI collaboration, and code quality assessment. She frequently collaborates with colleagues across multiple institutions on educational research projects focused on improving computing education. Hooshangi's research interests center on critical challenges in computer science education, including gender perception in computing, transfer student experiences, capstone project design, and the integration of practical computing skills into curricula. Her work often addresses diversity and inclusion issues in computing education, with particular attention to women's experiences and socioeconomic factors affecting student performance. She has developed methodologies for investigating educational challenges and has contributed to instrumentation for measuring student confidence and interest in computing fields. Her recent publications (2023-2025) reveal a strong emphasis on practical educational challenges: assessing team-based capstone projects, tracking student perceptions of computing skills, examining transfer student barriers, and investigating gender perception among non-CS majors. These works demonstrate her commitment to evidence-based approaches to improving computer science education through rigorous mixed-methods research. Hooshangi has been active in major computing education venues including ITiCSE, SIGCSE, and FIE, indicating her standing within the computer science education community. Her collaborations span numerous institutions and researchers, suggesting active participation in the broader educational research community. She has advised numerous students who have become co-authors on her publications, including Margaret Ellis, Khushi Parajuli, and Asma Shakil, among others. Her work on capstone projects and instructor perspectives suggests involvement in curriculum development and faculty training initiatives.

• Gender Studies
• STEM Education
• Educational Psychology
• +3 more

Prof. Dr. Malkoc Smirna is a Professor at the Styrian University of Education (PHST), affiliated with the Institute for Practical Teaching and Research. She holds a BSc, MSc, and professorial qualification. Her contact information includes the email smirna.malkoc@phst.at and phone number +43 (316) 8067-6510, with consultations by appointment. Her research focuses on gender disparities in STEM education, academic performance under stress, and the psychological dynamics of learning environments. She explores topics such as language gender bias, online flipped classrooms, and the impact of emotions on educational outcomes. Her work also addresses challenges faced by early-stage researchers in Austrian psychology. Prof. Smirna’s publications span 2020–2025, emphasizing methodological rigor and interdisciplinary approaches. Her articles highlight trends in gender studies, educational psychology, and crisis-driven learning dynamics. She contributes to improving educational practices through evidence-based strategies and supports equitable career pathways for underrepresented groups in academia. Her research integrates quantitative and qualitative methods, including pilot studies, statistical modeling, and peer-reviewed methodologies. She prioritizes topics such as self-efficacy in career choices, teacher motivation typologies, and pandemic-era academic resilience.

Stelios M POTIRAKISView profile

Professor

• Complex Systems
• Time-Series Analysis
• Geophysical Signal Processing
• +6 more

Stelios M POTIRAKIS is a Professor at the Department of Electrical and Electronics Engineering at the University of West Attica in Athens, Greece. He has held this position since September 2018, following an Associate Professor role at the same institution from March to September 2018, and previously at Piraeus University of Applied Sciences from November 2015 to February 2018. His research focuses on complex systems time-series analysis with applications spanning geophysical phenomena, space weather, biological signals, financial markets, and audio processing. He leads the Electronics and Computer Technologies Laboratory (ECTLab) at the University of West Attica. Dr. POTIRAKIS specializes in digital signal processing, nonlinear dynamics, and mathematical modeling of complex physical systems. His expertise bridges electrical engineering with geophysics, particularly in studying earthquake precursors through electromagnetic emissions, ionospheric disturbances, and atmospheric anomalies. He has developed methodologies to analyze critical phenomena across diverse systems, from phase transitions in physics to market dynamics in finance. His recent publication record demonstrates a strong focus on the intersection of space weather, ionospheric monitoring, and seismic activity. He has pioneered approaches using Very Low Frequency (VLF) signals to detect pre-seismic ionospheric anomalies, contributing to earthquake prediction research. His work also extends to financial markets, where he applies complexity measures to forecast volatility, and to biological signals, where he investigates neural dynamics and spike generation mechanisms. 246 scientific publications with 54,289 reads and 2,419 citations Director of ECTLab (Electronics and Computer Technologies Laboratory) Key contributor to hELlenic Seismo-ElectroMagnetics Network (ELSEM-Net) Active researcher in Swarm mission data analysis for geophysical monitoring Dr. POTIRAKIS maintains an extensive international collaboration network, particularly with Japanese researchers like Masashi Hayakawa, reflecting the global impact of his interdisciplinary research in complex systems analysis and earthquake precursor studies.

Jean-Francois LalandeView profile

Professor

• Operating System Security
• Embedded Software Security (Smart Cards)
• Android Application Security
• +4 more

Jean-Francois Lalande is a Professor at CentraleSupélec, affiliated with the Inria CIDRE project within the IRISA laboratory. Previously, he served as Associate Professor at INSA Center Val de Loire (LIFO laboratory) from 2005 to 2017. His research focuses on cybersecurity, particularly in operating systems, embedded systems (smart cards), and Android applications. He has defended his Habilitation to Supervise Research (HDR) in 2016. Research interests include malware analysis, access control policies, intrusion detection systems, and software code analysis. He has contributed to projects like Mascopt (network optimization library) and developed frameworks for analyzing Android malware behavior (e.g., GroddDroid, Kharon dataset). Key achievements include work on isolating malicious code in Android malware, preventing serialization vulnerabilities, and debiasing malware datasets. He also focuses on teaching mobile security, developing educational tools and curricula. His collaborations span institutions like INSA, Inria, and international researchers. Current research emphasizes network security optimization, covert channel detection in mobile systems, and privacy-preserving protocols for smart environments.

Ulrike SchumannView profile

Research Fellow

• Non-coding RNAs
• Retinal Degeneration
• MicroRNA
• +6 more

Dr. Ulrike Schumann is a Research Fellow at the Australian National University (ANU), affiliated with the John Curtin School of Medical Research (JCSMR) and the Eccles Institute of Neuroscience. She holds key roles in the Shine-Dalgarno Centre for RNA Innovation and the Division of Neuroscience. Her research focuses on non-coding RNAs, particularly miRNAs, in retinal degeneration, cancer biology, and epigenetic mechanisms. She completed a PhD in Microbiology and a Master's in Biotechnology. Her work spans translational medical research, including studies on RNA biomarkers for disease diagnostics and therapeutic interventions. Dr. Schumann collaborates with the Natoli Group (Clear Vision Research Lab) and Wen Group (Computational Biology of RNAs). Her recent publications emphasize miRNA roles in retinal degeneration, DNA damage in tumors, and innovative biosensor technologies for point-of-care diagnostics. Collaborative efforts include epigenetic studies in cancer and RNA methylation analyses. Dr. Schumann is registered to supervise research students but currently lists no advisees. Her research integrates computational biology, molecular genetics, and translational medicine to address unmet clinical needs in vision science and oncology.

Jannik GiesekamView profile

Research Fellow

• Industrial Climate Policy
• Embodied Carbon Mitigation
• Circular Economy
• +4 more

Jannik Giesekam is a Research Fellow in the Department of Civil and Environmental Engineering at the University of Strathclyde. His work centers on climate change mitigation in industrial supply chains , with a focus on the UK construction industry, particularly net zero carbon buildings and circular economy strategies. Current roles: Chancellor's Fellow and Deputy Director of Knowledge Exchange: Policy Engagement at Strathclyde Previous roles: Research Fellow at University of Leeds (2011-2021) His research interests include: Whole life carbon assessment frameworks Policy development for sustainable construction Material efficiency and carbon budget integration Decarbonization of industrial supply chains Climate change mitigation through resource productivity Stakeholder engagement in climate policy Recent scientific awards include: Shortlisted for AJ100 Collaboration of the Year Award (2023) Shortlisted for Collaborative Partnership Award (2024) Richard Trevithick Fund Prize (2019) His articles demonstrate expertise in: Global carbon assessment methodologies Embodied carbon policy frameworks Whole-system energy demand reduction Circular economy implementation Materials innovation for low-carbon construction Cross-sectoral climate strategies He contributes to policy engagement via: Advisory roles for CCC, ICE, and UKGBC Consultancy for Zero Waste Scotland and RSSB Development of guidance documents for RICS and CIEMAP

Daniel J. FellemanView profile

Professor

• Neuroscience
• Neuroanatomy
• Visual Processing
• +4 more

Dr. Daniel J. Felleman is a Professor at The University of Texas Health Science Center at Houston, specializing in the organization, function, and plasticity of the primate cerebral cortex. His research focuses on visual processing mechanisms in cortical areas V2, V4, and posterior inferotemporal cortex, with particular emphasis on color and form discrimination. 713.500.5629 Research Interests: The laboratory employs optical recording of intrinsic cortical signals and neuroanatomical tracers to map functional modules in primate visual cortex. Key findings include the segregation and integration of color and form inputs in V4, and developmental changes in prefrontal cortex following neonatal temporal lobe damage. Neurodevelopmental changes in prefrontal cortex after medial temporal lobe damage 3D computer graphics analysis of cortical circuitry Scientific Contributions: Spanning four decades, his work has established foundational understanding of cortical organization through publications in Nature , Science , and Cerebral Cortex . Recent studies (2014-2024) explore orientation pinwheels in V4 and mutual information analysis in stripe compartments. Technological Innovations: Developed wireless neural interface systems for primate research (2015), enabling unconstrained behavioral studies. Pioneered difference-image techniques to identify activated cortical regions through chromatic and luminance stimulation.

• Neurophysiology
• Sleep
• Memory
• +12 more

Dr. Janie M. Ondracek is a Research Group Leader at the Chair of Zoology, Technical University of Munich (TUM), where she leads the Ondracek Working Group. She is affiliated with the Graduate School of Systemic Neurosciences (GSN) as a temporary or junior faculty member, indicating an independent early-career research position. Her work bridges zoology, neuroscience, and behavioral biology, focusing on non-mammalian models such as birds and reptiles. Her research interests include Sleep , Memory , Vocal Learning , Electrophysiology , Neural Oscillations , and the Evolution of Brain Dynamics . She employs an interdisciplinary approach combining chronic and in vitro electrophysiology, behavioral analysis, immunohistochemistry, molecular tools, and computational modeling to study how memories are consolidated during sleep in songbirds and other species. The 15 most recent publications highlight a consistent focus on sleep-related neural activity , particularly sharp wave-ripples (SWRs) , across species including zebra finches, chickens, and reptiles. Her work demonstrates evolutionary conservation of memory-related brain dynamics and explores how vocal learning in birds is modulated by sleep. Methodologically, her research spans in vivo and in vitro electrophysiology, neural population dynamics , and behavioral tracking using tools like DeepLabCut. Neural population dynamics during sleep resemble SWRs (2024) Local sleep in songbirds (2024) Age-related sleep differences in zebra finches (2023) Avian sharp wave-ripples (2019, 2016) Reptilian sleep and brain evolution (2016, 2015) Dr. Ondracek actively supervises PhD, Master’s, and Bachelor’s students and teaches courses such as Current Topics in Neuroscience: Evolution of Sleep and Neurobiology of Behavior . She mentors a diverse group of students on projects ranging from song learning analysis to optogenetics in avian brains and sleep behavior in embryos. Her lab develops and applies advanced neurotechnologies, including microdrives and real-time detection plugins, supporting a dynamic research environment focused on the intersection of evolution, sleep, and memory. She leads research projects on avian sharp wave-ripples , sleep-vocal learning interactions , and animal behavior tracking . Her lab, accessible at www.ondraceklab.com , fosters collaborative and interdisciplinary neuroscience research at TUM.

Jonathon HareView profile

Professor

• Representation Learning
• Deep Learning
• Computer Vision
• +6 more

Jonathon Hare is a Professor in the School of Electronics & Computer Science at the University of Southampton. He holds a BEng degree in Aerospace Engineering and PhD in Computer Science, both from the University of Southampton. His research is centered around representation learning with the goal of developing techniques that allow machines to understand and utilize data to fulfill human information needs. His research spans three main areas: Novel representation techniques including differentiable neural architectures for counting and working with unordered sets; Understanding representations through biological inspiration, exploring how neural architectures relate to biological systems; and Applications of representation in geospatial intelligence and document analysis. He has made a strong commitment to open science, with many projects having open-source implementations, including the OpenIMAJ software that won the prestigious 2011 ACM Multimedia Open Source Software Competition. His recent publications (2024-2025) show a strong focus on hardware-efficient neural networks, representation learning, and explainable AI. His work addresses critical challenges in neural network memory configuration, FPGA acceleration, and stable algorithm learning using mathematical constraints. His research shows growing emphasis on practical implementation challenges and the intersection of theoretical neural network concepts with real-world hardware constraints. Vice Chancellors Teaching Award (2015) Faculty award for innovative teaching (2013-14) 2011 ACM Multimedia Open Source Software Competition winner Shortlisted for Blackboard and VLE Awards (2016, 2017, 2020) Fellow of the Higher Education Academy (FHEA) Senior Member of IEEE (SMIEEE) As Doctoral Programme Director, Professor Hare supervises over 150 PhD students across multiple disciplines including Computer Science, Geography, Engineering, and the MINDS interdisciplinary program. He leads undergraduate Computer Vision and postgraduate Differentiable Programming/Deep Learning modules, and has been instrumental in developing new machine learning curriculum including modules on Deep Learning, Natural Language Processing, and Machine Learning Technologies. His teaching excellence has been widely recognized through multiple awards and nominations. He also serves on the editorial board of IET Image Processing journal since 2020. Professor Hare is actively involved in several research groups including Vision, Learning and Control; International Centre for Ecohydraulics Research; Centre for Machine Intelligence; and Southampton Marine and Maritime Institute. His current projects include SemanticNews, JASH – AYURDA (Fish for Life), International Centre for Spatial Computational Learning, and various marine and geospatial research initiatives.