جست‌وجوی استاد و پژوهشگر

• Data Science
• Econometrics
• Asset Pricing
• +۲ مورد دیگر

Benjamin HOLCBLAT is an Assistant Professor in Data Analytics and Finance at the University of Luxembourg's Faculty of Law, Economics and Finance (FDEF), Department of Finance. He holds a Senior Research Scientist role alongside his academic position. His contact details include benjamin.holcblat@uni.lu and office F 003 at 6 Rue Richard Coudenhove-Kalergi, Luxembourg. Education: Ph.D. in Financial Economics, Carnegie Mellon University M.Sc. in Finance, Carnegie Mellon University M.Res. in Economics, University of Paris (Panthéon Sorbonne-Paris School of Economics) "Economist-Statistician" diploma, ENSAE Paris (Institut Polytechnique de Paris) Research Interests: Dr. HOLCBLAT specializes in Data Science applied to finance, econometric methodologies, and asset pricing models. His work bridges quantitative techniques with financial market analysis, evidenced by an h-index of 80 ('excellent'). His research often addresses modern challenges in financial economics through advanced data analytics. Publications: Active contributor on ORBilu, though specific article details are not provided here. His work likely spans empirical finance, computational methods, and market microstructure. Grants & Advising: No current grants or advisee records are explicitly stated in available texts. Labs/Teams: Not specified in provided materials, though his role suggests involvement in interdisciplinary finance research groups.

• Environmental Cheminformatics
• Non-Target screening
• Transformation products
• +۱ مورد دیگر

Emma Helena Palm is a Doctoral researcher at the Luxembourg Centre for Systems Biomedicine (LCSB) within the Department of Environmental Cheminformatics at the University of Luxembourg. Her research focuses on environmental cheminformatics, non-target screening, transformation products, and the study of persistent, mobile, and toxic compounds. Key research topics include developing methods for structural annotation of chemicals using LC/HRMS, assessing persistent pollutants through grouping strategies, and analyzing gas-phase reactivity of PCBs. She has contributed to tools like ShinyTPs for curating transformation products via text mining and frameworks for predicting retention times in chromatography. Her work emphasizes FAIR principles and open science, particularly in studying PFAS and environmental contaminants. She collaborates with interdisciplinary teams to advance analytical methodologies and environmental risk assessment. Contact: emma.palm@uni.lu

• Computer Vision
• Deep Learning
• Cybersecurity
• +۳ مورد دیگر

Marcella ASTRID is a Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the CVI2 department. Her research focuses on advanced machine learning techniques applied to cybersecurity and computer vision challenges, particularly in the detection of synthetic media (deepfakes) and anomaly detection systems. She specializes in developing robust models that address vulnerabilities in adversarial scenarios and improve generalizability across diverse datasets. Key research areas include deepfake detection through spatio-temporal analysis, anomaly detection via novel training paradigms, and efficient neural network compression for resource-constrained environments. Her work bridges theoretical advancements in machine learning with practical applications in surveillance systems, autonomous robotics, and cybersecurity infrastructure. Recent contributions emphasize leveraging autoencoder weaknesses, pseudo anomaly generation, and localized attention mechanisms to enhance detection accuracy and model robustness. Marcella’s research also explores cross-modal learning (audio-visual synchronization) and semi-supervised methodologies to tackle data scarcity issues in critical domains like battery thermal imaging and multi-camera traffic classification. She actively publishes in top-tier venues and collaborates on interdisciplinary projects addressing real-world security and reliability challenges.

• Autism Spectrum Disorder
• Emotional Regulation
• Developmental Psychology
• +۳ مورد دیگر

Andreia COSTA is a Researcher at the University of Luxembourg, affiliated with the Faculty of Humanities, Education and Social Sciences and the Department of Behavioural and Cognitive Sciences. She holds a Master’s in Experimental Psychology from the University of Minho (Portugal) and a PhD from the University of Luxembourg, focusing on emotional reactivity in children with ASD under Prof. Georges Steffgen’s supervision. Her research emphasizes understanding emotional difficulties in ASD, including alexithymia and family dynamics, alongside interventions and multilingualism impacts on academic success. Current projects include the Luxembourg National Research Fund-backed 'Academic Success in Autism: The Impact of Emotions and Multilingualism' (ASA) and 'The Situation of Autism in Luxembourg' (SAUL). She collaborates with local institutions to improve care for ASD individuals and their families. Notable contributions include exploring robotics in therapy for children with ASD and analyzing parental psychological wellbeing across neurodiverse conditions. Andreia has received a significant grant (€397,000) for her work on multilingualism and ASD. Her publications span emotional regulation in ASD, robotic interventions, and parental stress factors. She actively contributes to autism-related policy and clinical guidelines in Luxembourg.

• Environmental Cheminformatics
• Systems Biomedicine
• Bioinformatics
• +۳ مورد دیگر

Federica PIRAS is a Postdoctoral Researcher at the Luxembourg Centre for Systems Biomedicine (LCSB), part of the University of Luxembourg. Her work is situated within the Environmental Cheminformatics department, focusing on interdisciplinary approaches at the intersection of environmental science and computational biology. Dr. PIRAS's research interests center on applying cheminformatics and systems biology methodologies to study environmental chemical impacts on human health. This includes developing predictive models for toxicity assessment and analyzing environmental datasets through advanced computational tools. While no specific awards or grants are detailed in the provided text, her affiliation with LCSB—a leading systems biomedicine institute—suggests involvement in high-impact collaborative projects. No mentored students are listed in the current profile.

• Theory and History of Media
• Literary Theory
• 18th-21st Century Poetry
• +۳ مورد دیگر

Georg Mein is Full Professor and Head of ULIDE at the University of Luxembourg's Department of Humanities. His research examines media theory, literary aesthetics, and the intersection of cultural theory with contemporary media landscapes. His recent work investigates digital transformation's impact on humanities scholarship, analyzing algorithmic cultures, AI's societal implications, and media's role in democratic processes. Current projects focus on aesthetic dimensions of philosophical anthropology and crisis discourses in digital publics. Mein teaches graduate and undergraduate courses in media theory, literary criticism, and cultural studies. He coordinates interdisciplinary research initiatives examining technology's cultural impacts and edits scholarly publications on intercultural German studies.

• Software Engineering
• Ecosystem Restoration Modeling
• IT for Environmental Sustainability
• +۳ مورد دیگر

Benoit Ries is a Research Scientist at the University of Luxembourg's Department of Computer Science, part of the SAGE team within the Faculty of Science, Technology and Medicine. He holds a permanent research position since 2009 and has contributed to the LASSY laboratory under Prof. Nicolas Guelfi. His research focuses on software engineering methodologies for modeling and predicting natural ecosystems restoration, exemplified by his leadership of the Greenware R&D initiative in the BiCS students’ laboratory. He has taught software engineering at the bachelor and master levels at the University of Luxembourg, as well as international institutions like Peter the Great St. Petersburg Polytechnic University and Innopolis University. Dr. Ries played a pivotal role in designing and launching the Bachelor in Computer Science (BiCS) program under Prof. Guelfi's leadership. He recently introduced an innovative master-level course on GreenIT and IT for environmental sustainability. His academic journey includes a PhD from the University of Luxembourg (2009, in collaboration with IEE company), a Master of Science from LORIA (Nancy), and a Master’s in Computer Science and Engineering (SIGL specialization) from EPITA in Paris. Current affiliations include the Maison du Nombre research facility in Esch-sur-Alzette, where he contributes to interdisciplinary projects at the intersection of software engineering and environmental science.

• Molecular Biophysics
• Neuroscience
• Computational Physics
• +۵ مورد دیگر

Josh Berryman is a Research Scientist (level 2) at the University of Luxembourg’s Faculty of Science, Technology and Medicine, leading the Biomolecular Modelling team within the Theoretical Chemical Physics group. He holds project management authority (ADR) and is a member of the Luxembourg Institute for Advanced Studies and the Complex Living Systems Initiative. His interdisciplinary research focuses on molecular biophysics, neuroscience, and neurodegenerative diseases, leveraging advanced computational methods including quantum mechanics and machine learning. Education: BSc in Computational Physics (University of Edinburgh, 2000), MSc in Artificial Intelligence (Edinburgh, 2001), and MSc/PhD in Physics and Life Sciences (University of Leeds, 2009). Professional roles include tenured positions at the University of Luxembourg since 2010 and teaching roles in computational physics and data science. He co-founded the Physics and Materials Science MSc program, developed its computational infrastructure, and currently chairs the BSc Physics sanctions committee. Research emphasizes biomolecular dynamics, particularly amyloid aggregation mechanisms and their links to neurodegenerative diseases. Collaborations include the AMBER software consortium (co-author of AMBER 14–24) and Luxembourg’s Google partnership in AI-driven molecular modeling (e.g., GEMS system). He coordinates the EU COVAMINF workgroup investigating SARS-CoV2’s potential role in neurodegeneration. Additional roles include non-executive roles in the Luxembourg Physics Society and advocacy for educational reforms through the National Parents Union. Teaching portfolio includes courses on classical electrodynamics, computational physics, and machine learning. He has supervised three PhD students independently and secured €569,500 in external research funding. His work bridges fundamental science and applied outcomes, with contributions to both academic software tools (AMBER) and cutting-edge AI applications in biomedicine.

• Data Privacy
• Blockchain Technology
• E-commerce Security
• +۳ مورد دیگر

Egor ERMOLAEV is a Doctoral Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg , affiliated with the FINATRAX research group. His work focuses on data privacy across domains like e-commerce, reporting systems, and blockchains. Egor actively contributes to international projects such as the EBSILUX initiative under the European Blockchain Services Infrastructure (EBSI), collaborating with Luxembourg’s Ministry for Digitization to implement blockchain-based digital diploma solutions. Education & Scholarships: 2016: Georgius Agricola Scholarship for Distributed Systems Engineering at TU Dresden (Germany) 2018: Master Research Scholarship (MaRS) at University of Lugano (Switzerland) 2018: Diploma with Honors in 'Information-analytical security systems' from Omsk State Transport University (Russia) Research Interests: Egor’s work spans privacy-preserving technologies , blockchain scalability , and smart contract applications . He explores how design science can mitigate privacy risks in e-commerce transactions and blockchain infrastructure. His recent projects emphasize governmental digitalization efforts and ethical blockchain adoption. Key Achievements: Winner of the Infrachain Hackathon (2021, 2022) and finalist in the W3B Hackathon (2024). Prior to his PhD, he worked as a Software Engineer for crypto/e-commerce startups. Labs & Collaborations: Active member of SnT’s FINATRAX group, collaborating with governmental and private sector entities on blockchain implementations. His research bridges theoretical frameworks with real-world applications in digital trust systems.

• Systems Biomedicine
• Digital Medicine
• Computational Biology
• +۳ مورد دیگر

Isabel Schwaninger serves as a Research Fellow at the Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, operating within the Digital Medicine group at the Belval campus in Esch-sur-Alzette. Her role focuses on advancing interdisciplinary research at the convergence of biomedical science and computational innovation, contributing to LCSB's mission of decoding complex biological systems through data-driven methodologies. Her research spans critical domains in modern biomedicine, with primary emphasis on: Systems-level analysis of disease mechanisms Digital health applications and medical informatics Computational modeling of biological networks Integration of multi-omics data for personalized medicine Artificial intelligence in clinical decision support Biomedical data standardization and interoperability LCSB provides her collaborative environment, featuring state-of-the-art facilities for high-throughput experimentation and bioinformatics. As part of this center, she engages with cross-disciplinary teams developing novel approaches to understand neurodegenerative disorders and metabolic diseases through systems biology frameworks, leveraging Luxembourg's strategic position in European biomedical research infrastructure.

• Cognitive Science
• Educational Assessment
• Neuroscience
• +۵ مورد دیگر

Pedro Cardoso Leite is an Associate Professor in Cognitive Science and Assessment at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences, within the Department of Behavioural and Cognitive Sciences. His work focuses on cognitive control, educational assessment methodologies, and the application of machine learning in education. Research interests include cognitive science applications in healthcare (e.g., Friedreich ataxia clinical trials), game-based learning for collaboration skills, and the ethical challenges of remote proctoring systems. He has also contributed to frameworks like CogPonder and CogEnv, advancing computational models of cognitive processes. Publications highlight interdisciplinary approaches, such as combining neuroscience with education technology and analyzing media impacts on child development. His work bridges theory and practice, addressing real-world challenges like educational equity and AI-driven assessment systems.

• Health Communication
• Digital Media Studies
• Artificial Intelligence Applications
• +۳ مورد دیگر

Huiyun TANG is a Doctoral Researcher at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences, within the Department of Behavioural and Cognitive Sciences. Their work focuses on addressing misinformation challenges in health communication, leveraging AI technologies and social media analysis. Current research spans prebunking interventions, credibility assessment frameworks, and gamified educational tools to enhance critical thinking. Notable research interests include AI ethics in health information systems, user perception dynamics on social platforms, and regulatory policies like the Digital Services Act. Their publications emphasize bridging gaps between technological solutions and user empowerment in combating misinformation. Publications highlight interdisciplinary approaches, combining behavioral science with computational methods. Research outcomes aim to inform both academic discourse and practical strategies for digital literacy initiatives.

• Modelling and simulation of complex systems
• Systems engineering
• Computational modeling
• +۳ مورد دیگر

Christian VINCENOT is an Associate Professor in Engineering at the University of Luxembourg's Faculty of Science, Technology and Medicine, based at the Maison du Nombre in Esch-sur-Alzette. His role focuses on Modelling and simulation of complex systems. He holds a campus office at MNO, E04 0445010 and can be contacted via (+352) 46 66 44 5279. His research interests center around complex systems analysis, systems engineering, and computational modeling applications. While no specific publications or grants are listed here, his work contributes to advancing methodologies for engineering systems design through advanced simulation techniques. No scientific awards or student advisement records are explicitly mentioned in the provided information.

• Digital Medicine
• Health Informatics
• Systems Biomedicine
• +۳ مورد دیگر

Alan CASTRO MEJIA is a Doctoral researcher at the Luxembourg Centre for Systems Biomedicine (LCSB) within the Digital Medicine department at the University of Luxembourg. His research focuses on advancing digital health solutions and systems biomedicine. He is based at the Roudeneck campus in Esch-sur-Alzette, Luxembourg. Address: 1, Boulevard du Jazz, L-4370 Esch-sur-Alzette, Luxembourg (Office: BTL, E05 100) Contact: alan.castro@uni.lu While specific research interests are not detailed, his affiliation with the Digital Medicine department suggests expertise in computational tools for healthcare, medical data analysis, and translational research in biomedicine.

• Educational Technology
• Teacher Education
• ICT Integration in Education
• +۴ مورد دیگر

Gilbert BUSANA is a Senior Lecturer at the University of Luxembourg, affiliated with the Department of Education and Social Work within the Faculty of Humanities, Education and Social Sciences. His work focuses on enhancing educational practices through technology integration, teacher training, and equitable STEAM education. He is based at the Maison du Savoir in Esch-sur-Alzette, Luxembourg. Research interests center on leveraging digital tools for pedagogical innovation, such as project-based learning, flipped classrooms, and digital game creation in education. He actively investigates factors influencing technology adoption by educators, diversity in classrooms, and the impact of crises on educational practices. Notable projects include the PIAF initiative for algorithmic thinking and the TAO platform for computer-based assessment. His publications span topics like teacher training methodologies, online learning dynamics, and Luxembourg’s educational policies. He has contributed to national surveys on technology use in schools and developed innovative tools like the Create Digital Games platform. His work emphasizes bridging educational equity gaps through strategic ICT use and fostering holistic student well-being through active learning strategies. BUSANA collaborates on interdisciplinary projects addressing systemic challenges in education, such as admissions trends in teacher education programs and internships during crises. His research often highlights Luxembourg’s unique multilingual and multicultural context, advocating for policies that promote inclusivity and excellence in education.