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Lew RobertView profile

Professor

• Lexicography
• Corpus Linguistics
• Dictionary Use
• +3 more

Robert Lew is a Full Professor at the Faculty of English, Adam Mickiewicz University in Poznań, Poland, where he has held academic positions since 1991. His career includes roles such as University Professor (2006–2019), Reader (1996–2006), and visiting appointments at Eastern Michigan University and other institutions. His research focuses on lexicography, corpus linguistics, and user studies in dictionary use. Lew has led major projects including the National Science Centre grant on online dictionary user research (2014–2017) and contributed to international initiatives like ELEXIS (Horizon 2020) and the KELLY Project. He has delivered over 50 conference presentations globally, including invited plenaries at venues such as the International Symposium in Lexicography (Aarhus) and the Asialex conferences. Lew has served on 26 international conference committees, examined 8 PhD theses, and reviewed for top journals like Applied Linguistics and Language Teaching . His awards include the AMU Rector’s research merit awards (2013–2016) and the Minister of National Education’s Award for Research Excellence (1997). Lew’s research integrates quantitative methods (e.g., eye-tracking studies) with lexicographical theory, emphasizing user-centric design for bilingual and learner dictionaries. His work bridges traditional and digital lexicon development, addressing challenges in multilingual vocabulary acquisition and digital tool effectiveness.

Elliott Hershel LiebView profile

Professor

• Mathematical physics
• Quantum mechanics
• Statistical mechanics
• +13 more

Elliott Hershel Lieb is a renowned Professor of Mathematics and Physics at Princeton University since 1975. His academic journey includes professorships at MIT and Yeshiva University, and postdoctoral roles at Cornell, University of Illinois, and IBM Research Center. Education : BSc in Physics from MIT (1953), PhD in Mathematical Physics from the University of Birmingham (1956). Research Interests span mathematical physics , quantum many-body systems , statistical mechanics , condensed matter physics , functional analysis , and operator inequalities . His work on Lieb-Thirring inequalities , Lieb-Robinson bounds , and density functional theory has profoundly shaped modern theoretical physics and mathematics. Recent Publications emphasize quantum information theory , density functional approximations , nonlinear quantum systems , and inequalities in functional analysis . Trends include quantum entropy , many-body localization , and mathematical foundations of quantum mechanics . Honors and Awards : 1970 Boris Pregel Award, 1978 Heineman Prize, 1988 Birkhoff Prize, 1992 Max Planck Medal, 1998 Boltzmann and Onsager Medals, 2001 Rolf Schock Prize, 2002 Austrian Medal of Honor, 2003 Poincaré Prize, 2021 ESI Medal, 2022 APS Medal, Gauss Prize, Dirac Medal, and 2023 Kyoto Prize in Basic Sciences. Doctoral Students include Rafael Benguria , Jennifer Tour Chayes , Robert McCann , Jan Philip Solovej , and Horng-Tzer Yau . His influence extends through over 500 publications and foundational work in quantum entropy , stability of matter , and exactly solvable models .

• Sustainable Construction
• Life Cycle Assessment (LCA)
• Environmental Engineering
• +3 more

Marco Scherz is a researcher affiliated with the Institute of Structural Design at Technische Universität Graz (TU Graz). His work focuses on sustainable construction practices, life cycle assessment (LCA) methodologies, and environmental impact analysis of building materials and processes. He leads the Working Group on Sustainable Construction and contributes to projects like BUILD UP Skills–Österreich and ParisBuildings aimed at aligning construction practices with climate goals. Scherz holds degrees including Dipl.-Ing., Dr.techn., and BSc, demonstrating expertise in engineering and sustainability. His research integrates LCA into procurement processes, evaluates environmental costs of construction materials, and develops decision-support models for sustainable building design. Education: Dipl.-Ing. (Civil Engineering), Dr.techn. (Technical Doctorate), BSc (exact field unspecified). His research spans environmental policy implementation, carbon neutrality strategies, and multi-criteria decision analysis in uncertain environments. He actively contributes to EU-level initiatives like IEA EBC Annex 57 and has published extensively on topics such as LCA-based procurement systems, GHG emissions monitoring, and sustainable urban development. His ORCID profile (https://orcid.org/0000-0002-7827-4074) and ResearchGate page (https://www.researchgate.net/profile/Marco_Scherz) detail ongoing collaborations and publications. Key research themes include transitioning procurement processes toward Paris Agreement compliance, analyzing synergies between SDGs, and optimizing building envelope sustainability. He has developed frameworks for evaluating facade sustainability, lifecycle costing in tunnels, and digital submission processes for building permits. Current projects emphasize integrating external costs into bid pricing and enhancing Austrian public building standards through LCA-based bonus/malus systems.

Reinhold PreinerView profile

Researcher

• 3D Computer Graphics
• Visualization
• Geometry Processing
• +3 more

Reinhold Preiner is a Senior Researcher at the Institute for Computer Graphics and Knowledge Visualization, part of the Faculty for Computer Science and Biomedical Engineering at TU Graz. He holds a PhD from TU Wien (2017) focused on dynamic and probabilistic point-cloud processing. His research emphasizes 3D graphics, geometry processing, and cultural heritage digitization. Current projects include Open Reassembly (fragment assembly for archaeological artifacts) and VR4CPPS (virtual reality in production systems). Education: PhD in Computer Science, TU Wien (2017) Dipl.-Ing. (MSc equivalent) in Computer Science, TU Wien Research Interests: Probabilistic geometry processing, interactive visualization, cultural heritage preservation through digital methods, and VR applications. Recent work includes thermal conduction modeling in astrophysical systems and crowd simulation algorithms. Projects & Grants: FWF Research Group A+CHIS (Cultural Heritage Informatics) Collaborative projects with Fraunhofer Institute Labs/Teams: Leads the Visual Computing group at TU Graz, collaborating with international partners on cultural heritage digitization and VR solutions.

• Medical Imaging
• Quantitative MRI
• Magnetic Resonance Imaging (MRI) Techniques
• +5 more

Rudolf Stollberger is a Professor at TU Graz's Institute of Biomedical Imaging. His research focuses on advanced MRI techniques, including CEST-MRI, arterial spin labeling, quantitative MRI parameter quantification, and optimal control-based RF pulse design. He holds academic appointments in medical technology and has expertise in high-field MRI (7T), image reconstruction algorithms, and deep learning applications in medical imaging. Education and affiliations are not explicitly detailed, but his work spans interdisciplinary areas such as neuroimaging, perfusion quantification, and biomedical signal processing. His research portal is accessible via http://www.imt.tugraz.at/ . Key research interests include developing robust RF pulses for inhomogeneous fields, improving CEST MRI contrast via optimal control, and enhancing real-time fMRI neurofeedback systems. He has contributed to model-based reconstructions for IVIM and DTI, as well as automated segmentation methods using deep learning. Notable articles from 2025–2023 highlight innovations in MRI sequence optimization, artifact reduction, and explainable AI for medical imaging datasets. His work addresses challenges in high-resolution ASL perfusion imaging, T1 quantification, and lung vessel morphology analysis.

Bettina KönighoferView profile

Assistant Professor

• Artificial Intelligence
• Reinforcement Learning
• Formal Methods
• +3 more

Bettina Könighofer is an Assistant Professor at the Technische Universität Graz (TU Graz), affiliated with the Institute of Information Security. Her academic background includes a BSc, Dipl.-Ing. (Diplom-Ingenieur), and Dr.techn. (Technical Doctorate). She specializes in formal methods applied to AI safety, reinforcement learning, and autonomous systems. Her research emphasizes ensuring safety and ethical compliance in decision-making systems through techniques like shield synthesis and formal verification. Research Interests: Safe Reinforcement Learning Algorithmic Fairness and Ethical AI Formal Verification of Learning Systems Autonomous Systems Safety Legal Accountability in Automated Decision-Making Her recent work explores safety shields for real-time decision enforcement, tools for legal accountability (e.g., soid ), and adaptive architectures for safety-critical systems. Notable projects include contributions to QComp verification competitions and Dagstuhl seminars on trustworthy AI. She holds a leadership role in academic conferences, including co-chairing the AISoLA 2023 Track C2. Her research often intersects with practical applications in mobility systems and regulatory compliance.

• Epidemiology
• Biostatistics
• Asthma epidemiology
• +3 more

Neil Pearce is Professor of Epidemiology and Biostatistics at the London School of Hygiene and Tropical Medicine (LSHTM) where he has served since 2010. Previously, he held academic positions at Massey University (2000-2010) and Wellington School of Medicine (1984-2000), including roles as Director of research centers. His academic credentials include a PhD in Epidemiology from University of Otago (1985), DSc from Massey University (2004), and prestigious fellowships including FMedSci, FRSNZ, and FFPH. Professor Pearce's research focuses on epidemiological methods and substantive areas including asthma epidemiology, occupational health, and chronic kidney disease. He leads major international studies through the Global Asthma Network and investigates environmental determinants of respiratory diseases. His methodological work includes innovations in study designs for infectious disease outbreaks. His publication portfolio shows consistent focus on global respiratory health trends, methodological innovation in epidemiology, and environmental determinants of chronic diseases. Recent work includes significant contributions to COVID-19 research methodologies and global asthma burden studies. Honors and distinctions: EPICOH Award for Occupational Epidemiology (2019) Fellowships: Academy of Medical Sciences (2013), Royal Society NZ (2005) Massey University Research Medals (2006, 2007) President, International Epidemiological Association (2008-2011) Current research leadership includes principal investigator roles on major grants: ERC Advanced Grant: Causes of non-atopic Asthma (€2.6M, 2021-2026) MRC Programme: Chronic Kidney Disease etiology (£1.8M, 2021-2026) HSE study: Occupational causes of COVID-19 (£565k, 2020-2022) MRC Doctoral Training Programme (£2.8M, 2022-2025) He maintains extensive scientific collaborations globally, including projects in Colombia and Central America.

Philomen ProbertView profile

Lecturer

• Linguistic theory
• Prosody
• Indo-European historical and comparative linguistics
• +6 more

Philomen Probert serves as University Lecturer in Classical Philology and Linguistics at the University of Oxford and Fellow of Wolfson College since 1999. Her academic home resides within the Faculty of Classics, specifically in linguistics-focused departments as evidenced by her homepage and research profile. Her research spans multiple dimensions of historical linguistics with particular emphasis on Greek, Latin, and Indo-European languages. Key interests include linguistic theory (especially prosody), Indo-European historical and comparative linguistics, diachronic syntax, history of linguistics (focusing on Greek and Latin grammarians), and Greek, Latin, and Anatolian languages and literatures. Her work bridges philological traditions with modern linguistic theory. Probert's publication record demonstrates consistent scholarly output since 2002, with significant monographs published by Oxford University Press including Ancient Greek Accentuation (2006) and Early Greek Relative Clauses (2015). Her most recent work shows increasing focus on prosody, relative clauses, and the intersection of historical linguistics with classical scholarship. AHRC Leadership Fellowship (2015-2017) for 'Ancient Greek Thought on Prosody: Through Time and Latin Eyes' British Academy Mid-Career Fellowship (2012) for 'Early Greek Relative Clauses' Fellowship at Center for Hellenic Studies of Harvard University (2006-2007) Teaching Award from Oxford Learning Institute (2006) Conington Prize (2002) for Oxford dissertation While specific student supervision details aren't documented in the provided materials, Probert has secured significant research funding through prestigious fellowships including AHRC and British Academy awards. Her work appears consistently in top linguistics and classics journals, demonstrating sustained scholarly impact in both philological and linguistic communities.

Robert SchlöglView profile

Professor

• Heterogeneous Catalysis
• Chemical Energy Conversion
• Inorganic Chemistry
• +5 more

Robert Schlögl is Director at the Fritz Haber Institute of the Max Planck Society in Berlin (since 1994) and Founding Director at the Max Planck Institute for Chemical Energy Conversion in Mülheim an der Ruhr (since 2011). He holds honorary professorships at Humboldt University Berlin, Technical University Berlin, University of Duisburg-Essen, Ruhr University Bochum, and is a Distinguished Affiliated Professor at TU Munich. Additionally, he serves as Vice President of the German National Academy of Sciences Leopoldina and member of the National Hydrogen Council. He studied chemistry at Technical University Munich, earning his PhD in 1982 under Prof. Hanns-Peter Böhm. After postdoctoral research in Basel (1986), he became group leader at Fritz-Haber-Institut under Nobel laureate Gerhard Ertl. Following habilitation (1989), he chaired Inorganic Chemistry at Goethe University Frankfurt before returning to Berlin in 1994. Schlögl's research integrates fundamental and applied catalysis science with a focus on sustainable energy solutions. Key areas include: Design of nanochemically-optimized materials for energy storage Heterogeneous catalysis for large-scale chemical energy conversion Hydrogen production through water splitting Carbon capture and utilization (CCU) technologies Development of Power2X and Carbon2Chem systems Catalyst characterization and mechanistic studies His extensive publication record (1,256 works, h-index 111) demonstrates consistent focus on catalysis innovation for energy transition. Recent articles emphasize CO₂ utilization, advanced characterization techniques, nanocatalyst design, and systemic approaches to sustainable chemistry. Research consistently bridges fundamental surface science with industrial applications. Major scientific recognitions include: ENI Award Energy Transition (2017) Alwin Mittasch Award (2015) Dechema Medal (2010) Ruhrpreis für Kunst und Wissenschaft (2017) Otto Bayer Prize (1994) Honorary Doctorate from Darmstadt University (2020) He leads research groups at both Max Planck Institutes, supervising teams working on catalytic materials development, reaction engineering, and energy system design. His laboratories specialize in advanced characterization methods including in situ microscopy and spectroscopy.

Albert N. ShiryaevView profile

Professor

• Probability theory
• Mathematical statistics
• Stochastic processes
• +3 more

Albert N. Shiryaev is a distinguished Professor at Moscow State University's Faculty of Mechanics and Mathematics, where he has served as Head of the Probability Theory Department since 1996. He has been a Professor at the university since 1970 and a member of the Steklov Mathematical Institute of the Russian Academy of Sciences since 1957. His research spans Probability theory , Mathematical statistics , Stochastic processes , and Financial mathematics , with particular expertise in sequential analysis and optimal stopping rules. His theoretical work has significantly influenced both pure and applied mathematics, especially in financial modeling where his monographs have become standard references. Shiryaev's publication record includes over 170 scientific papers and numerous influential monographs such as Statistics of Random Processes (with Liptser), Limit Theorems for Stochastic Processes (with Jacod), and Essentials of Stochastic Finance . His research demonstrates consistent focus on foundational probability theory while expanding into financial applications in later decades. Markov Prize of Academy of Sciences of the USSR (1974) Honorary Fellow of the Royal Statistical Society (1985) Member of the Academia Europea (1990) Kolmogorov Prize of the Russian Academy of Sciences (1994) Humboldt Research Award (1996) Doctor Rerum Naturalium Honoris Causa of Albert Ludwigs University (2000) Professor Honoris Causa of Amsterdam University (2002) Distinguished Professor of Moscow State University (2003) Shiryaev has advised 52 PhD dissertations across multiple countries and held significant academic leadership positions. He served as President of the Bernoulli Society (1989-1991), President of the Actuarial Society of Russia (1994-1998), and President of the Bachelier Finance Society (1998-1999). He currently serves as Deputy Head of the journal Theory of Probability and its Applications and Co-editor of Finance and Stochastics , while also sitting on multiple editorial boards including Markov Processes and Related Fields and Quantitative Finance . His research group at the Steklov Mathematical Institute and Moscow State University has maintained continuous activity in probability theory research for decades, contributing to both theoretical advances and practical applications in finance and statistics.

Joseph VandewalleView profile

Professor

• Mathematical System Theory
• Signal Processing
• Neural Networks
• +5 more

Joos Vandewalle is a Full Professor at the Department of Electrical Engineering (ESAT), KU Leuven, Belgium, since 1986. He has held leadership roles including Chairman of the Department of Electrical Engineering (1996-1999, 2003-2005), Vice-Dean of the Faculty of Engineering (1999-2002), and Coordinator of the Center of Excellence on Optimization in Engineering since 2005. His academic career spans over four decades, with prior positions as a Visiting Assistant Professor at UC Berkeley (1978-1979) and Research Associate at KU Leuven (1976-1978). Education : Electrical Engineering degree (1971), Doctorate in Applied Sciences (1976), both from KU Leuven. His research focuses on the intersection of mathematical system theory and its applications in circuit theory, control systems, signal processing, cryptography, and neural networks. Recent work emphasizes nonlinear methods like support vector machines and multilinear algebra for data processing and optimization. He has taught courses in linear algebra , system and circuit theory , and neural networks , influencing large cohorts of students. Vandewalle’s accolades include IEEE Fellows , EURASIP Fellow , and IEE (UK) Fellow distinctions. He received the IEEE Gustav Robert Kirchhoff Award (2022) and honorary doctorate in 2023. His editorial contributions include roles at the IEEE Transactions on Circuits and Systems and advisory boards for journals like Neurocomputing and Neural Networks . He has supervised approximately 30 PhD students, many of whom became successful researchers or managers in fields such as biomedical signal processing, telecommunications, and applied mathematics. Vandewalle has also participated in international research evaluations and panels, including the ERC Advanced Grants (2008) and the German DFG for Centers of Excellence (2006) . Labs/Teams : Head of the SCD division (over 150 researchers) and Coordinator of the Center of Excellence on Optimization in Engineering at KU Leuven.

Franz PernkopfView profile

Professor

• Machine Learning
• Probabilistic Graphical Models
• Signal Processing
• +4 more

Franz Pernkopf is a Professor at the Signal Processing and Speech Communication Laboratory, Graz University of Technology, Austria. He holds a MSc from Graz University of Technology (1999) and a PhD from the University of Leoben (2002). His research focuses on machine learning, probabilistic graphical models, and signal processing applications in speech recognition, medical data analysis, and radar technology. He has led the Christian Doppler Laboratory for Dependable Intelligent Systems and contributed to national research networks in signal processing. His work emphasizes resource-efficient deep learning, Bayesian networks, and time-series analysis. Notable contributions include interference mitigation in radar systems and acoustic event detection. Awards include the Erwin Schrödinger Fellowship (2002) and Young Investigator Award (2010). He advises on projects ranging from lung sound analysis to embedded system optimizations. His lab hosts courses on signal processing and machine learning.

Mikael KubistaView profile

Professor

• Molecular Diagnostics
• Quantitative PCR (qPCR)
• Gene Expression Profiling
• +4 more

Mikael Kubista is a Professor and Head of the Department of Gene Expression at the Czech Academy of Sciences' Biotechnology Institute. He holds dual affiliations with TATAA Biocenter in Sweden and the Czech Republic. His roles include academic leadership, entrepreneurship in diagnostics, and advisory work with UNESCO. Kubista earned his Ph.D. in Chemistry from Chalmers University of Technology (1991) after postdocs at La Trobe University (Australia) and Yale University (USA). His research focuses on qPCR technologies, gene expression analysis, and molecular diagnostics. Key achievements include co-authoring the influential MIQE guidelines for RT-qPCR, inventing Light-Up probes and Two-tailed PCR, and founding companies like TATAA Biocenter and Life Genomics AB. His work emphasizes translating molecular biology into clinical diagnostics, with notable contributions to non-invasive prenatal testing (NIPT) and cancer diagnostics. Awards include the Frost & Sullivan Award (2013) and recognition as a leading innovator in European diagnostics. Scientific contributions span biotechnology entrepreneurship, development of diagnostic standards, and pioneering techniques in nucleic acid analysis. Kubista advises on global molecular diagnostics infrastructure through UNESCO and chairs ISO working groups for diagnostic guidelines. His current projects include combining Two-tailed PCR with SimSen Seq technology for advanced cancer diagnostics.

Can LiView profile

Professor

• Physical Chemistry
• Environmental Catalysis
• Chiral Catalysis
• +4 more

Can Li is a Full Professor at the Dalian Institute of Chemical Physics, affiliated with the Chinese Academy of Sciences (elected in 2003) and holds memberships in prestigious institutions such as the Academy of Sciences for Developing World (TWAS, 2005) and Academia Europaea (2008). His academic career spans decades, including leadership roles as Director of the State Key Laboratory of Catalysis (1998–2015), President of the International Association of Catalysis Societies (2008–2012), and Chairman of the Catalysis Society of China (2005–2012). Dr. Li’s research focuses on broad areas of catalysis and physical chemistry, including Environmental Catalysis , Chiral Catalysis , Photo(electro)catalysis , and Biocatalysis . His work also involves advanced analytical techniques like In-situ Characterization of Catalytic Reactions and Time-resolved Spectroscopy . While recent Google Scholar publications appear to focus on computer science topics like AI fairness and safety, his core research remains rooted in chemical sciences. His scholarly contributions have been recognized with multiple awards, including the National Catalysis Achievement Award of China (2014) , Natural Science Award of China (2011) , and the International Catalysis Award (2004) . He has held visiting professorships at institutions in Belgium, the USA, the UK, Japan, and France. 2014 National Catalysis Achievement Award of China 2011 Natural Science Award of China 2005 Outstanding Science and Technology Achievement Prize of the CAS 2005 HoLeungHoLee Prize 2004 International Catalysis Award 1998 National Award for Outstanding Young Scientists in China 1997 Hong Kong Qiu-Shi Outstanding Young Scientist Award

Heiko LickertView profile

Professor

• Diabetes Research
• Beta Cell Biology
• Stem Cell Differentiation
• +3 more

Heiko Lickert is the Director of the Institute of Diabetes and Regeneration Research at Helmholtz Center Munich and W3 Professor of Beta Cell Biology in the Medical Faculty at Technical University Munich. He obtained his PhD from Albert-Ludwig University and Max-Planck Institute in Freiburg and completed postdoctoral studies at Mount Sinai Hospital, Toronto. His research focuses on: Beta cell development, regeneration and replacement therapies Pancreas organogenesis and endocrine lineage formation Stem cell-based drug screening and metabolic signaling Genetic and molecular mechanisms of diabetes His publications demonstrate sustained innovation in high-resolution imaging techniques applied to diabetes research, with recent work advancing single-cell analysis of beta cells and multimodal brain mapping. Article trends show progressive integration of transcriptomics with advanced MRI techniques. Major scientific recognitions include: ERC Advanced Grant (2022) Falling Walls Life Sciences Winner (2021) Werner-Creutzfeldt-Preis (2020) Otto-Hahn Medal (2003) He leads multiple international consortia including 'ISLET' for stem cell-based diabetes therapy and 'eISLET' for engineered pancreatic islets. As designated President of the German Stem Cell Network, he oversees national research strategy development.