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Stefan MerkerView profile

Research Professor

• Mammalian biogeography
• Speciation and hybrid zones
• Conservation genetics
• +7 more

PD Dr. Stefan Merker is Head of the Zoology Department and Curator of Mammalogy at the State Museum of Natural History Stuttgart (Staatliches Museum für Naturkunde Stuttgart) and holds a Habilitation (Venia Legendi) in Zoology at the University of Hohenheim, where he has taught since 2014. He leads an active research program in mammalian biogeography, conservation genetics and primate evolution. Education : Habilitation in Zoology, University of Hohenheim, 2023 PhD (Dr. rer. nat.) in Biology, Georg-August-Universität Göttingen, 2003 Diplom in Biology, Georg-August-Universität Göttingen, 1999 Exchange studies, University of California, Santa Barbara, 1995–1996 Research Interests Merker’s work centers on the evolutionary history and conservation of mammals , especially small primates and island fauna. Using field ecology, molecular genetics and bioacoustics, he investigates how geological events and anthropogenic change shape species distributions and genetic diversity. His flagship projects include: Ecology and evolution of tarsiers – phylogeography, hybrid zones and speciation on Sulawesi Island, Indonesia. Population genetics of the Eurasian beaver – recolonization dynamics and genetic structure in Central Europe. Urban ecology of European rabbits – gene flow and behavioral adaptation along rural–urban gradients. Scientific Awards & Grants Habilitation Scholarship & Venia Legendi, University of Hohenheim (2023) Postdoctoral Fellowships – EU Marie Curie & DFG (2003–2008) PhD Fellowships – Studienstiftung des deutschen Volkes & DAAD (2000–2003) Diplom Fellowship – Studienstiftung & GfP Christian-Vogel-Fonds (1998) Advising & Teaching Merker has supervised 15+ graduate students (3 PhD, 12 MSc/Diplom) and numerous bachelor theses, covering topics from tarsier hybridization to urban beaver genetics. He teaches undergraduate and master modules at the University of Hohenheim and previously at Goethe University Frankfurt and Johannes Gutenberg University Mainz, with courses on vertebrate biology, evolutionary ecology and field methods. Laboratories & Teams He heads the Mammalogy Section at the Stuttgart State Museum of Natural History, curating extensive zoological collections and running molecular laboratories for DNA barcoding, microsatellite genotyping and next-generation sequencing. The group participates in international consortia such as the Primate Genome Project and the European Beaver Genetic Monitoring Network.

• Parameterized Complexity
• Computational Complexity
• Algorithmics
• +6 more

Luke Mathieson is a Senior Lecturer and Deputy Head of School (Teaching and Learning) in the School of Computer Science at the University of Technology Sydney. His academic career spans theoretical computer science with a focus on computational complexity and its applications. Dr. Mathieson's educational background includes a PhD in Theoretical Computer Science from Durham University, a Masters and Postgraduate Diploma in Higher Education from Macquarie University, and dual Bachelor's degrees in Computer Science (Honors) and Science (Chemistry) from the University of Newcastle Australia. His research interests are centered on parameterized complexity and its applications, extending to various areas of complexity theory, algorithmics, quantum computing, graph theory, and related mathematics. A major theme of his research is the complexity of graph editing problems, a topic in which he specializes. His recent work bridges theoretical complexity with practical applications in AI education, network science, and quantum computing. Dr. Mathieson has taught an extensive range of computer science subjects, particularly focusing on the theory of computation, computational complexity, and algorithmics. At UTS, he teaches or has taught subjects including Data Structures and Algorithms, Applications Programming, Computing Science Studio, Theory of Computing Science, Programming, and Advanced Algorithms. He serves as the Course Director for the Bachelor of Science in Information Technology suite of degree programs and the Course Coordinator for the IT Core. Senior Lecturer, University of Technology Sydney, School of Computer Science (2022-present) Lecturer, University of Technology Sydney, School of Computer Science (2021-2022) Scholarly Teaching Fellow, University of Technology Sydney, School of Computer Science (2017-2021) Research Associate, University of Newcastle Australia, Centre for Information Based Medicine (2014-2017) Adjunct Lecturer, Macquarie University, Department of Computer Science (2014) Postdoctoral Fellow, Macquarie University, Department of Computer Science (2011-2013) Research Associate, University of Newcastle Australia, School of Electrical Engineering and Computer Science (2010-2011) His research demonstrates consistent productivity across theoretical computer science with notable contributions to parameterized complexity and network controllability. Recent publications show an expanding scope incorporating quantum computing applications and educational technology innovations. The QB-suite: a framework for quantum algorithm design and benchmarking (2024-2027) National Industry PhD Program: Improving biosecurity through livestock history recording (2024-2028) Random Number Generation and Analytics for Client Understanding (2018-2019) He maintains active research collaborations across multiple institutions and is affiliated with the Faculty Centre for Quantum Software and Information (QSI) at UTS, reflecting his growing involvement in quantum computing research.

Georgette DalView profile

Professor

• Constructional Morphology
• Productivity in Linguistics
• Corpus Linguistics
• +5 more

Georgette Dal is a Full Professor at the University of Lille, affiliated with the Faculty of Humanities and the Language Sciences Department (UMR 8163 - STL: Savoirs, Textes, Langages). Her research focuses on constructional morphology , morphological productivity , and usage-based linguistics , with a strong emphasis on corpus analysis and digital resources like the Démonette-2 database. She led the ANR DEMONEXT project (2017-2022) to develop morphological databases for speech therapy applications. Research Themes : Constructional morphology, productivity, corpus linguistics, lexematic morphology Projects : FRANLEX (1997-2003), MorTAL (2000-2003), DEMONEXT (2017-2022) Her work bridges theoretical morphology with applied linguistics , particularly in speech therapy and language education . She has collaborated extensively with computational linguists and psycholinguists, contributing to debates on the autonomy of morphology , category boundaries , and the role of analogy in lexical construction. Recent studies include the morphological analysis of French adjectives in -eux and the development of participatory research frameworks for clinical partnerships. Her advocacy for internet-based data has transformed French morphological research methodologies.

• Welfare State Research
• Social Policy
• Institutional Change
• +9 more

Professor Patricia Frericks holds the Professorship for Sociology and Economics of Social Services and Institutions in the Department of Human Sciences at the University of Kassel since 2017. She previously served as Professor of Social Policy at the University of Helsinki and co-director of the second research focus of the Centre for Globalisation and Governance at the University of Hamburg. Her academic journey spans multiple prestigious European institutions including the London School of Economics, University of Rome 'La Sapienza', University of Turin, and Utrecht University. Habilitation in Sociology (2014, University of Hamburg) Doctorate in Interdisciplinary Social Sciences (2007, Utrecht University) Studies in Political Science and Theology (Universities of Bonn, Innsbruck, and Jerusalem) Professor Frericks' research focuses on comparative welfare state and capitalism research, with particular emphasis on institutional change and inequality. Her work examines the tension between formal institutional norms and social realities, analyzing how social resources and life courses are readjusted within contemporary welfare systems. She has extensive expertise in European comparative sociological studies, with special attention to the economization of social areas, transformation of welfare institutions regarding old-age provision, unemployment, poverty, care, family, and institutionalized life courses. Her research explores the complex interplay between welfare state, welfare market, economic order, and social structure. Her recent publications demonstrate a consistent focus on family as a central redistributive principle within welfare states, examining how family structures interact with social security systems across Europe. The research shows increasing attention to the gap between intended and actual redistribution, particularly regarding family support systems and pension coverage for family care work. Her methodological contributions, including the SCQual method for systematic comparison of qualitative data, enhance comparative welfare state analysis. Included in AcademiaNet (European database of outstanding female researchers) Professor Frericks has led and collaborated on numerous European research projects across the 5th, 6th, and 7th Framework Programmes for Research. Her work often involves comparative analysis of European welfare systems with particular attention to gender dimensions, family structures, and the evolving relationship between public and private responsibility in social security. She has developed innovative methodological approaches for comparing welfare state institutions across countries. Her research has established important connections between family policy and pension systems, particularly examining how family care work is recognized and compensated within social security frameworks. She has contributed significantly to understanding the gender dimensions of social policy and pension reforms across Europe.

Parks CollinsView profile

Professor

• Microbiology
• Bioinformatics
• Genomics
• +3 more

Parks Collins is a Biology Professor at Mitchell Community College and a long-standing instructor in the HHMI Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science (SEA-PHAGES) program since 2018. He teaches multiple sections of General Biology (BIO 111/BIO 112) courses integrating authentic research, with institutional affiliation solely at Mitchell Community College. His research focuses on: Bacteriophage discovery using Microbacterium foliorum and Mycobacterium smegmatis hosts Genomic analysis of phages through bioinformatics Undergraduate research pedagogy in microbiology Integration of wet-lab and computational approaches in biology education Over 7 years, Dr. Collins has mentored 200+ students across 15+ course sections (9-16 students each), primarily freshmen/sophomores, with 2-3 weekly meetings totaling 2-7 hours. He collaborates extensively with Justin Leonard and participates in SEA workshops/symposia. No individual awards are documented, but his work is embedded in the HHMI-funded SEA-PHAGES network. He maintains teaching laboratories for phage isolation and utilizes bioinformatics platforms through PhagesDB, contributing to national phage databases while preparing students for upcoming 2025-2026 SEA initiatives including the Phage Genomics Workshop.

• Proteomics
• Proteogenomics
• Cancer Research
• +4 more

Janne Lehtiö is a Professor in Medical Proteomics at Karolinska Institutet's Department of Oncology-Pathology in Stockholm, Sweden. He has held continuous positions at Karolinska Institutet since 2004, progressing from Senior Scientist to Associate Professor and currently Professor. His research focuses on proteomics and proteogenomics applications in cancer research and precision medicine. Lehtiö earned his PhD in School of Biotechnology from Kungliga Tekniska Högskolan (Royal Institute of Technology) in Stockholm (1997-2001) and his Master of Science in Department of Biochemistry from Helsingin Yliopisto (University of Helsinki) in Finland (1991-1997). Prior to his academic career at Karolinska, he worked as a Field Scientist at Ciphergen Biosystems Inc. in Fremont, California (2001-2003). His research interests center on proteomics, proteogenomics, cancer biology, and precision medicine . Lehtiö's work bridges molecular biology with clinical applications, particularly in cancer diagnostics and treatment selection. His laboratory develops advanced proteomic technologies for in-depth molecular phenotyping of cancer. Analysis of his recent publications reveals a strong trend toward clinical proteogenomics with emphasis on spatial proteomics, immune-oncology, and biomarker discovery. His research increasingly integrates machine learning approaches for early cancer detection and treatment response prediction, with significant focus on lung cancer, ovarian cancer, and lymphoma. Lehtiö serves as Principal Investigator on numerous research grants and has extensive experience as a peer reviewer for high-impact journals including Nature Communications, Cell, and Nature Genetics. His research is supported by substantial grant funding from major Swedish research organizations including the Swedish Research Council (VR), Swedish Cancer Society, and VINNOVA. Current projects focus on proteogenomics for cancer immunotherapy, precision medicine infrastructure, and early lung cancer diagnosis.

Nathan UrbanView profile

Professor

• Neuroscience
• Olfactory system
• Neuronal diversity
• +4 more

Nathan Urban is a Professor and currently serves as the Provost and Senior Vice President for Academic Affairs at Lehigh University. His research focuses on understanding the physiological and circuit mechanisms underlying the functional and computational properties of brain neuronal networks, with particular emphasis on the olfactory system. Dr. Urban's research interests span multiple areas of neuroscience including: Neuronal diversity and functional differences between cell types Olfactory navigation and algorithms used by animals to solve odor-based navigation problems Neuronal modeling using both statistical and mechanistic approaches Neuronal reliability and the role of variability in neural processing Olfactory plasticity and experience-dependent changes in neural circuitry His lab has made significant contributions to understanding how the olfactory system processes information, with research spanning from detailed anatomical and physiological properties of cells and synapses to computational models of neural circuits. Dr. Urban leads the Urban Lab, which has established resources like NeuroElectro.org, a public database of neuronal properties. Through his extensive publication record spanning decades, Dr. Urban has explored questions about cell types, diversity within cell populations, and the mechanisms underlying olfactory navigation. His recent work has increasingly focused on understanding neural circuit mechanisms in the context of neurodevelopmental disorders, particularly autism spectrum disorders, as evidenced by his publications examining sensory processing abnormalities in ASD models. Dr. Urban has mentored numerous students and postdocs, providing an environment where they can develop technical and intellectual skills to become successful scientists. His research has been supported by various funding sources including NSF, and he continues to actively contribute to the field with publications in top neuroscience journals through 2024.

• Civil Engineering
• Environmental Engineering
• Construction Materials
• +9 more

Dr. Yu Wang serves as Reader/Associate Professor in Civil Engineering at the School of Science, Engineering & Environment, University of Salford, Manchester, UK. He earned his PhD from Aston University and previously conducted research at the University of Bristol, Imperial College London, and the University of Plymouth before securing a Research Council UK Academic Fellowship in 2007 at Salford. His research spans multiple domains including construction materials, reinforced concrete durability, pavement engineering, unsaturated soil hydrology, and environmental engineering. Dr. Wang has made significant contributions to understanding hydro-physical constitutive characteristics of unsaturated porous materials, infiltration process modeling in porous media, and fluid-structure interactions across different scales. His recent work focuses on sustainable asphalt technologies incorporating waste materials, nano-additives, and advanced composites for improved infrastructure performance. Dr. Wang's publication portfolio exceeds 100 items, comprising 2 books, over 50 peer-reviewed journal articles, and more than 30 conference papers. His current research examines sustainable asphalt mixtures using waste byproducts, soil erosion mechanisms in China's Loess Plateau, and oil contamination assessment in Kuwait. He has established extensive international collaborations across the UK, EU, China, Taiwan, Iraq, Australia, Brazil, USA, and Russia. Professional recognitions include: RCUK Academic Fellowship (2007-2012) Editorial board positions for Journal Crystals and Journal of Advances in Civil Engineering Keynote speaker at international conferences including ICACEE 2024 Honorary Associate Professor at University of Baghdad (2024) Guest Academic at Chongqing Jiaotong University (2025-2026) Dr. Wang has supervised 6 PhD students to completion and co-supervised numerous others. He leads multiple research projects including 'Corrosion Fatigue Damage Mechanism of Cable-Stayed Bridge Cables' (2023-2026) and participates in international initiatives like the RS-NSFC Research Exchange Programme. His work bridges fundamental research with practical applications in sustainable infrastructure development and environmental protection.

Magnus ÖbergView profile

Associate Professor

• Civil War
• Conflict Research
• Grievances
• +5 more

Magnus Öberg is a Senior Lecturer and Associate Professor at the Department of Peace and Conflict Research, Uppsala University. He serves as Director of the Uppsala Conflict Data Program (UCDP) and previously held the position of Head of Department from 2012-2017. His work focuses on systematic data collection and analysis of global conflict patterns, making significant contributions to peace research methodology. Öberg's research examines the causes and consequences of civil war, with particular emphasis on the psychology of grievances, escalation processes, forced migration, and traumatization. His current project, The Moral Psychology of Grievances in Intrastate Conflict , funded by the Swedish Research Council (grant #2018-02108), investigates how moral values condition the effects of social, political, and economic factors on intrastate conflict. This work specifically addresses previously overlooked moral dimensions in nationalist, religious, and authoritarian mobilization. His extensive publication record demonstrates a consistent focus on conflict data collection and analysis. Öberg has led the annual Organized Violence reports since 2019, documenting global patterns of armed conflict across various dimensions including interstate conflicts, non-state violence, and the impact of emerging technologies like drones. His research spans traditional civil war studies, forced migration patterns, and methodological challenges in measuring civilian casualties. As Director of the Uppsala Conflict Data Program, Öberg oversees one of the world's most comprehensive conflict databases. The UCDP produces several widely used datasets including the UCDP/PRIO Armed Conflict Dataset, the UCDP Non-State Conflict Dataset, and the UCDP Peace Agreement Dataset. These resources are essential for researchers and policymakers worldwide working in conflict resolution and peacebuilding.

• Artificial Intelligence in Healthcare
• Disease Modeling
• Cancer Risk Prediction
• +3 more

Kumar Gaurav is an External Postdoc at the Novo Nordisk Foundation Center for Protein Research (CPR), University of Copenhagen, working within the Brunak Group. His research integrates artificial intelligence with large-scale health data to model disease progression and develop clinical risk prediction tools. His core research areas include: Artificial Intelligence in Healthcare Disease Modeling Cancer Risk Prediction Health Data Analytics Machine Learning Biomedical Informatics Dr. Gaurav's recent publications demonstrate a clear trajectory in computational biomedicine, leveraging transformer architectures for disease history modeling (2025, Nature ) and multi-cancer risk stratification using national datasets (2024, The Lancet Digital Health ). The 2024 study gained exceptional visibility with coverage by 136 news outlets and extensive social media discussion, highlighting real-world impact potential. He operates within the Brunak Group at CPR, a collaborative environment focused on translating protein research and health data into precision medicine solutions. His work involves international partnerships with institutions referenced in co-authorship, emphasizing cross-border data science applications in healthcare.

• Answer Set Programming
• Logic Programming
• Knowledge Representation
• +2 more

Wolfgang Faber is a researcher at Vienna University of Technology (TU Wien) specializing in Knowledge-Based Systems within the Faculty of Informatics. Holding the position of Privatdozent, he has completed his habilitation and is qualified to teach at the university level. His academic work centers on Answer Set Programming (ASP), Logic Programming, and Knowledge Representation, with significant contributions to theoretical foundations in these fields. Dr. Faber's research spans multiple areas of computational logic: Answer Set Programming and its theoretical underpinnings Epistemic logic programs and equivalence properties Knowledge representation and reasoning systems Nonmonotonic reasoning formalisms Integration of logic programming with external data sources His publication history reveals a sustained focus on theoretical aspects of ASP, with particular emphasis on program equivalence concepts (strong equivalence, uniform equivalence), computational complexity analysis, and applications to knowledge representation. Over two decades, his research has evolved from foundational work in disjunctive logic programming to specialized topics in epistemic reasoning within ASP frameworks. Dr. Faber has led and participated in numerous research projects including START (2014-2022) on Uniform Equivalence of Epistemic Logic Programs, SemDat (2012-2016), and multiple projects related to hybrid knowledge bases and Answer Set Programming from 2005-2015. His collaborative research extends across European institutions, evident through extensive co-authorship with researchers like Thomas Eiter and Stefan Woltran. While specific awards aren't documented in the available information, his sustained research output and leadership in multiple projects indicate significant recognition within his field. Dr. Faber has made substantial contributions to major systems in the field, most notably the DLV system for knowledge representation and reasoning, which has influenced both academic research and practical applications of Answer Set Programming.

Marcus GreferathView profile

Adjunct Professor

• Algebra
• Coding Theory
• Combinatorics
• +5 more

Dr. Marcus Greferath is an Adjunct Professor at the Department of Mathematics and Systems Analysis, Aalto University, School of Science. He holds dual roles as a Visiting Professor in both the Department of Mathematics and Systems Analysis and the Algebra and Discrete Mathematics division. His research focuses on algebraic coding theory, combinatorics, and applications of finite rings in coding and cryptology. Greferath has contributed significantly to areas such as rank metric codes, network coding, and error-correcting codes over finite structures. Research Interests: Greferath's work bridges pure mathematics and applied coding theory. Key areas include the study of codes over finite rings and modules, applications of combinatorial designs, and the development of decoding algorithms. His recent projects address adversarial error correction in distributed storage systems and privacy-preserving information retrieval using finite geometries. Publications: His most recent works include advancements in MacWilliams duality for rank metric codes (2025), adversarial error correction frameworks (2024), and combinatorial design mosaics (2018). These reflect a strong emphasis on algebraic foundations and their practical implications in modern communication systems. Patents: He co-invented encoding schemes for LDPC codes (US2010199142, 2010) and magnetic resonance methods using phase-modulated pulses (US2011241667, 2011), showcasing his translational research impact. Labs/Teams: Active in the Algebra and Discrete Mathematics research group at Aalto University, contributing to projects on subspace codes and network security. Collaborates internationally on topics like finite quasi-Frobenius modules and linear code structures.

• Natural Language Processing
• Multimedia Networking
• Software Defined Systems
• +6 more

Jason Quinlan is a Lecturer in the Department of Computer Science at University College Cork (UCC), Ireland. He holds a PhD in Computer Science and has extensive experience in teaching undergraduate modules such as Introduction to Programming (CS1117), Problem-Solving (CS1022), and Team Software Project (CS3305). His current role includes coordinating the CSIT SOLAS support hub for first-year students. Previously, he served as a Senior Post-Doc Researcher focusing on Intelligent Video Delivery at the Edge for 5G networks with the SFI iVID Project and CONNECT institute. Research interests span Natural Language Processing , Video Streaming Optimization , Software Defined Networking , and 5G Infrastructure . He led the development of frameworks like D-LiTE (DASH performance evaluation) and GoDASH (Go-based HAS framework). His work emphasizes QoE/QoS metrics, adaptive streaming algorithms, and network simulation tools. Key achievements include publishing over 30 peer-reviewed articles (e.g., on DASH streaming, 5G dataset analysis), securing €21,744 in research grants, and supervising 2 PhD, 15 Master’s, and numerous undergraduate students. Collaborations span institutions like UC Riverside (USA) and Université Clermont Auvergne (France). He actively contributes to conferences like ACM Multimedia Systems and IEEE LANMAN. Teaching and outreach activities include the MISL Summer of Code initiative mentoring over 60 students since 2018, and completing certifications in Project Management (PRINCE2, Scrum) and Higher Education Teaching. He has reviewed for top journals including Multimedia Systems Journal and IEEE Transactions on Multimedia, and serves on program committees for ACM MM and NetSoft conferences.

• Enterprise Modeling
• Cybersecurity
• Multi-Level Modeling
• +5 more

Manfred Jeusfeld is a Professor of Information Technology at the University of Skövde's School of Informatics, Department of Information Technology. He specializes in enterprise modeling, cybersecurity, multi-level modeling, and critical infrastructure protection. His research integrates formal methodologies with practical applications in domains like product lifecycle management and data warehouse architecture. Research Interests: Multi-Level Modeling (formal semantics, tool implementation) Cybersecurity in Critical Infrastructures (model-based analysis, vulnerability assessment) Conceptual Modeling Methodologies (enterprise architecture, ontological frameworks) Product Lifecycle Management (virtual factories, extended PLM systems) Key Projects: Leading the Virtual Factories of the Future (VF-KDO) research profile (2018–2026) ELVIRA project (EU ISF-funded cybersecurity analysis for smart grids) OMI project (teaching enterprise modeling tools for European education) Publications: Recent work emphasizes systematic literature reviews in cybersecurity modeling, formal verification of multi-level systems, and tool contributions like DeepTelos for ConceptBase. His work bridges theoretical model development with real-world applications in critical infrastructure protection.

• Bioinformatics
• Text Mining
• Machine Learning Applications in Biomedical Research
• +4 more

Patrick Ruch is a Professor at the Geneva School of Economics and Management (HES-SO), specializing in bioinformatics, text mining, and computational methods for health sciences. He leads research in areas such as machine learning applications in biomedical research, research data management, and natural language processing for scientific literature triage. His work emphasizes improving reproducibility, equity in publishing, and the integration of AI in healthcare. Key affiliations include the SIB Swiss Institute of Bioinformatics and the ArODES initiative. Research interests focus on leveraging AI to enhance data-driven decision-making in medicine, addressing systemic biases in academic publishing, and developing tools for genomic variant curation. He has collaborated extensively on international projects like BiCIKL and DOME, advancing FAIR data principles and open science practices.