جست‌وجوی استاد و پژوهشگر

Zakaria Kurdiمشاهده پروفایل

دانشیار

• Text & Data Mining
• Intelligent Tutoring Systems
• Social Network Analysis
• +۵ مورد دیگر

Dr. Zakaria Kurdi is an Associate Professor of Computer Science at the University of Lynchburg. He joined the institution in 2016 and specializes in interdisciplinary research at the intersection of artificial intelligence, computational linguistics, and data science. His work spans text and data mining, intelligent tutoring systems, social network analysis, and cognitive modeling of spoken language. Education: PhD in Computer Science, Joseph Fourier University, France MS in Software Engineering, École Nationale Supérieure des Mines de Saint Étienne, France MS in Cognitive Science, Institut National Polytechnique de Grenoble, France BA in Linguistics, Université Lumière, France Research Interests: Dr. Kurdi’s research focuses on applying computational methods to linguistic and healthcare challenges. Key areas include analyzing spoken language disfluencies, developing adaptive educational tools for ESL learners, and leveraging machine learning for dementia detection through language analysis. He also explores bioinformatics applications, such as studying bacterial protein distributions, and social network analysis using datasets like Enron’s emails. Recent Research Trends: His publications (2024–2017) highlight a strong focus on interdisciplinary AI applications, with recent emphasis on medical diagnostics via natural language processing and computational biology. Earlier work includes foundational contributions to spoken language understanding systems and text complexity classification. Labs/Teams: While no specific lab is named, his affiliations imply involvement in interdisciplinary teams within the University of Lynchburg’s Computer Science department, collaborating on projects blending linguistics, AI, and biomedical data analysis.

• Molecular Biology
• RNA Biology
• Gene Expression Regulation
• +۳ مورد دیگر

Susanne Kramer is a Professor in the Department of Cell and Developmental Biology at the University of Würzburg's Biocenter. She leads the Kramer Lab, focusing on mRNA metabolism and posttranscriptional gene regulation in trypanosomes. Her academic journey includes a PhD from LMU Munich (2005), postdoctoral research at the University of Cambridge (2005–2011), and a DFG-funded Junior Group Leader position (2011–2018) before earning a Heisenberg Professorship in 2022. Education: 2005: Dr. rer. nat., LMU Munich 2016: Habilitation, University of Würzburg Research Interests: Susanne's work centers on RNA granules, mRNA export mechanisms, and trypanosome-specific post-transcriptional control. She developed novel methods for RNA granule purification, uncovering key insights into mRNA de-capping enzymes and co-transcriptional export in trypanosomes. Her lab uses cutting-edge techniques like super-resolution microscopy and single-molecule FISH to study subcellular RNA dynamics. Publications Trends: Her recent work highlights advancements in nuclear pore architecture, mRNA export pathways, and enzyme discovery (e.g., ApaH phosphatases). These studies bridge molecular mechanisms in trypanosomes with broader implications for cellular biology. Awards: 2022: Heisenberg Professorship (RNA Biology of Kinetoplastids) 2018: Heisenberg Funding (DFG) Advising & Labs: As a group leader, Susanne mentors graduate and undergraduate students. Her lab collaborates on projects involving RNA granule dynamics, mRNA processing, and trypanosome biology. Future research focuses on untangling the interplay between RNA metabolism and pathogenic mechanisms in trypanosomes. Lab Infrastructure: Located at the Biocenter, the Kramer Lab houses advanced imaging and molecular biology facilities to support its interdisciplinary studies.

Ludovic Autinمشاهده پروفایل

پژوهشگر

• Molecular Modeling
• Scientific Visualization
• Structural Biology
• +۳ مورد دیگر

Ludovic Autin, PhD is an Institute Investigator in the Department of Integrative Structural and Computational Biology at The Scripps Research Institute. His research bridges scientific visualization with artistic illustration to enhance understanding of complex biological systems. He leads development of software frameworks including cellPACK, mesoscope, ePMV, and cellPAINT/VR for multiscale molecular modeling. Education: PhD in Structural Biology from Paris 5 University (2002-2005), focusing on blood coagulation protein complexes. Professional experience spans roles from Assistant Lecturer (2005-2007) to Senior Staff Scientist (2015-2024), with key contributions to molecular docking methods and cellular environment modeling. Research emphasizes induced-fit molecular recognition, viral assembly mechanisms, DNA structure dynamics, and cellular crowding phenomena. Software innovations like cellPACK enable real-time modeling of crowded cellular environments, while mesoscope provides web-based integration of molecular data. Notable achievements include the first whole Mycoplasma cell structural model (2022) and collaborative work on HIV virion modeling. Active in computational tools development for both scientific research and educational outreach.

• Chronic Pain Management
• Neurobiology
• Microfluidic Devices
• +۵ مورد دیگر

Professor Rainer Viktor Haberberger is a prominent academic at the University of Adelaide, holding the Wood Jones Chair of Anatomy within the School of Biomedicine (Faculty of Health and Medical Sciences). He leads the Pain & Pulmonary Neurobiology lab and oversees anatomy/histology teaching across health sciences and medical programs. Education: Human Biology (Medical Research) degree from Philipps-University, Marburg, Germany Senior scientist/lecturer at Justus-Liebig University, Giessen, Germany (until 2005) Professor of Anatomy and Histology at Flinders University (2005–2021) Research Interests: Mapping human dorsal root ganglion (DRG) cell types and spinal cord neurochemistry Developing neuron-on-chip microfluidic devices for chronic pain diagnosis Addressing translational gaps between animal and human pain research Collaborations in electron microscopy, transcriptomics, and lipidomics Key Achievements: Recipient of NHMRC Ideas Grant Over 100 peer-reviewed publications (h-index 40, 3000+ citations) Co-founded the Australian Pain Society’s Pain Research SIG Leadership in painSTAR training programs Labs/Teams: Pain & Pulmonary Neurobiology lab (UoA) Collaborations with UT Dallas, SAHMRI, and Adelaide Microscopy

Jean Jaubertمشاهده پروفایل

پژوهشگر

• Laboratory Animal Science
• Animal Welfare and Ethics
• Reproductive Animal Science
• +۷ مورد دیگر

Jean Jaubert is a Permanent Researcher and Head at the Central Animal Facility of the Institut Pasteur in Paris, France. His work focuses on providing access to animal models and experimental settings in compliance with animal welfare and ethical standards. Research Interests: His expertise spans laboratory animal science, reproductive animal science, animal welfare and ethics, biosafety, risk assessment, and bioconfinement. His research supports immunological, infectious disease, and genetic studies using rodent models, particularly mice. He contributes to translational research by maintaining health status and experimental integrity in animal facilities. Publication Trends: Recent publications highlight his involvement in genetic mapping using the Collaborative Cross (CCQTL), immune cell differentiation (iNKT cells), and development of mouse-adapted pathogens like SARS-CoV-2. These works reflect an interdisciplinary focus on host-pathogen interactions, immunogenetics, and bioinformatics tools for complex trait analysis. Scientific Awards: No awards listed in the provided text. Advising and Grants: There is no explicit mention of students or direct advising roles. Funding sources are not specified in the provided text, though his platform involvement suggests participation in collaborative or institutional grants supporting animal facility operations and related research. Labs and Teams: Jean Jaubert leads the Central Animal Facility, a core platform at the Institut Pasteur. The team includes veterinarians, research engineers, project managers, and technicians, supporting a wide range of in vivo studies. The facility also offers training courses on rodent surgery and regulatory compliance for project designers.

Bruno Dupuyمشاهده پروفایل

پژوهشگر

• Microbiology
• Bacterial Pathogenesis
• Anaerobic Bacteria
• +۷ مورد دیگر

Bruno Dupuy is a Permanent Researcher and Principal Investigator at the Pasteur Institute in Paris, France, within the Department of Microbiology. He is a key member of the 'Biologie cellulaire de l’infection microbienne' unit, working under the leadership of Isabelle Martin-Verstraete. His primary research focus is on the pathogenesis of the anaerobic bacterium Clostridioides difficile , a major cause of nosocomial infections. His research interests center on understanding the fundamental mechanisms of C. difficile virulence. This includes studying the biology of anaerobic biofilms and their role in infection, the complex regulatory network controlling toxin synthesis and secretion, and the adaptive strategies the bacterium uses to survive host stresses like oxidative damage. His work also extends to evaluating novel therapeutic strategies, such as cationic copolypeptoids, for combating this pathogen. His recent publications highlight a strong trend in molecular microbiology, focusing on bacterial surface structures (like the S-layer), toxin function, and host-pathogen interactions using advanced techniques like RNAseq and monoclonal antibody characterization. Bruno Dupuy has an active research program, leading multiple projects funded by grants like ANR JCJC. He mentors a team of PhD students and post-doctoral fellows, contributing to the training of the next generation of scientists. He has also been involved in educational activities, such as co-organizing a workshop on Bacterial RNAseq.

Vladimir Carli and Gergö Hadlaczkyمشاهده پروفایل

پژوهشگر

• Suicide prevention
• Mental health epidemiology
• Psychiatric genetics
• +۳ مورد دیگر

Vladimir Carli and Gergö Hadlaczky are researchers at the National Centre for Suicide Research and Prevention of Mental Health (NASP) within Karolinska Institutet's Department of Learning, Informatics, Management and Ethics. They lead interdisciplinary research on suicide determinants and mental health interventions. Research Focus: Their work spans Biological, psychological, and social suicide risk factors Digital mental health systems (e.g., VR, eHealth) Genomic studies of suicidality Population-level mental health epidemiology Key Projects: Forte-funded suicide process study (SEK 5.995M) Tim Bergling Foundation digital training initiative EXPERIENCE project (VR + XAI for depression) Publication Trends: Recent articles analyze Genetic interactions with childhood trauma (P2RX7, CLOCK genes) Screen time and sleep pathways Body odor's catalytic role in anxiety treatment Population-level suicide pattern analysis

Juan José Arranz Santosمشاهده پروفایل

استاد

• Animal Genetics
• Genomics
• Dairy Sheep Production
• +۳ مورد دیگر

Juan José Arranz Santos is a Professor at the University of León, affiliated with the Faculty of Veterinary Science and Department of Animal Production. His research focuses on animal genetics , genomics , and feed efficiency in dairy sheep, with significant contributions through the MEGA MEJORA GENÉTICA ANIMAL research group. He is actively involved in genomic selection programs and uses machine learning and transcriptomic analysis to improve dairy sheep productivity and resilience. Education : Ph.D. in Animal Production from the University of León (1994) His research synthesizes genomic , transcriptomic , and microbiome data to identify biomarkers for feed efficiency, milk quality, and disease resistance. Recent work includes developing the SMARTER-database for integrating sheep/goat genomic data and analyzing epigenetic impacts of early nutrition on lactation performance. Key sub-fields include selective sweeps , long non-coding RNAs , and circular transcriptomes in ruminants. The 15 most recent publications (2025-2023) reveal trends in machine learning applications for feed efficiency prediction, SNP array integration , lncRNA annotation , and milk metabolite biomarkers . His work spans functional genomics, microbiota analysis, and innovative educational tools like gamification for teaching quantitative genetics . Research Groups : MEGA MEJORA GENÉTICA ANIMAL

• Information visualization
• Taxonomic visualization
• Genomic data visualization
• +۵ مورد دیگر

Martin Graham is a Researcher at Edinburgh Napier University, affiliated with the School of Computing Engineering and the Built Environment and the Centre for Algorithms, Visualisation and Evolving Systems. With a PhD completed between 1998-2002 under Prof Jessie Kennedy, his career spans over two decades of research in information visualization. His research interests focus on information visualization with specialization in taxonomic visualization, genomic data representation, cybersecurity visualization, and techniques for visualizing multiple overlapping classification hierarchies. Graham has consistently applied visualization techniques to help domain experts explore complex data across biology, genomics, and security domains. His work bridges theoretical visualization concepts with practical applications through numerous Knowledge Transfer Partnership projects. Graham's publication record shows an evolution from foundational work on taxonomic visualization to diverse applications in genomics (VIPER, Helium), cybersecurity (Pianola, Security Visualisation), and biodiversity (Vesper). His recent work continues to advance visualization techniques for complex data analysis problems, with his latest publication in 2021 focusing on insider threat detection systems. As a supervisor, he has mentored PhD students including Alan Melville for the project 'An investigation into visual graph comparison' (2007-2014), serving as Second Supervisor. His research has been supported by significant funding including Innovate UK (£184,993 for Security Visualisation 2018-2022), Biotechnology and Biological Sciences Research Council (£104,072 for VESpeR 2012-2014), and Scottish Funding Council projects totaling over £20,000. Graham has collaborated extensively with Prof Jessie Kennedy throughout his career, co-authoring numerous publications and projects. His work demonstrates a consistent thread of developing practical visualization tools that address real-world data exploration challenges across multiple scientific domains.

Sebastian Canzlerمشاهده پروفایل

پژوهشگر

• Computational Systems Biology
• Multi-omics Data Analysis
• Systems Toxicology
• +۵ مورد دیگر

Dr. Sebastian Canzler is the Head of the Computational Systems Biology group at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. He is affiliated with the Department of Computational Biology & Chemistry and contributes to projects such as multiGSEA software development, XomeTox, and chemical grouping frameworks. Education: Diploma & PhD in Bioinformatics (University of Leipzig, 2011 & 2017) Professional Roles: PostDoc (University of Leipzig, 2017); PostDoc & Head (UFZ, 2018–Present) Research Interests: His work focuses on multi-omics data integration for chemical risk assessment, pathway enrichment analysis, single-cell transcriptomics in systems toxicology, and development of FAIR data management practices. He specializes in refining adverse outcome pathways (AOP) and applying explainable AI to predict chemical effects. Scientific Trends: Recent publications emphasize thyroid toxicity mechanisms, retinal organoid modeling, and computational frameworks for evaluating chemical mixtures. His software tools (multiGSEA, ProteinPrompt) address pathway analysis and protein interaction prediction. Collaborations: Works with Prof. Jörg Hackermüller, Prof. Martin von Bergen, and teams across bioinformatics, ecotoxicology, and exposure science.

• Machine Learning
• Artificial Intelligence
• Fuzzy Logic
• +۳ مورد دیگر

Carlos Andrés Pena is a Professor and Director of the Institute of Information and Communication Technologies (IICT) at HEIG-VD. His research focuses on Machine Learning, Artificial Intelligence, and Bioinformatics, with applications in healthcare, environmental science, and computational biology. He leads projects like ImpTox and EXPLaiN, addressing challenges in nanotoxicology, phage therapy, and ethical AI. His work bridges AI with real-world problems, including antimicrobial resistance and soil health monitoring. Education: Not explicitly listed in the provided text. Research Interests: Pena’s research integrates AI with interdisciplinary domains. Key areas include: Machine learning for healthcare diagnostics (e.g., diabetic retinopathy, perinatal health) Phage genome engineering using deep learning to combat antibiotic resistance Protist bioindicators for soil quality assessment using metabarcoding Fuzzy logic systems for biomarker discovery and disease classification Grants & Projects: He has secured over CHF 1M in funding, including EU Horizon 2020 projects and Swiss National Science Foundation grants. Notable projects include: ImpTox (2021–2025): Investigating nanoplastics’ toxicity on allergies PERPHECT (2019–2021): Engineering phages via LSTM networks HES-XPLAIN (2023–2024): Open platform for explainable AI Labs/Teams: Directs the IICT lab, collaborating with institutions like CNRS and University of Fribourg on bioinformatics and environmental studies.

• Machine Learning
• Explainable Artificial Intelligence (XAI)
• Rule Extraction from Neural Networks
• +۴ مورد دیگر

Guido Bologna is an Assistant Professor at the Haute école du paysage, d'ingénierie et d'architecture de Genève (HEPIA), within the School of Technique et IT and the Department of Informatique et systèmes de communication. His research focuses on explainable artificial intelligence (XAI), rule extraction from neural networks, and their applications in healthcare and computer vision. His work emphasizes transparent decision-making in AI systems, particularly for medical diagnostics (e.g., melanoma detection from images) and radiotherapy side-effect prediction. He co-leads the HES-XPLAIN platform, an open-source initiative to democratize XAI development. Key projects include PRE-ACT (predicting radiotherapy side effects) and Fidex/FidexGlo algorithms for explaining ensemble models and SVMs. Notable contributions include rule extraction from deep neural networks using techniques like DIMLP ensembles and DCT-based feature maps. His research bridges theoretical advances in AI with practical applications, such as sensory substitution devices for visually impaired individuals and gait analysis for elderly mobility aids. Bologna collaborates internationally on interdisciplinary projects, spanning healthcare informatics, robotics, and neuroscience. His work addresses challenges in algorithmic transparency, fairness, and privacy in AI systems, with a focus on real-world deployable solutions.

• Bioinformatics
• Ontology Development
• Biomedical Informatics
• +۷ مورد دیگر

Robert Stevens is a Professor of Computer Science at the University of Manchester, affiliated with the School of Computer Science's Department of Computer Science. He holds roles in the Bio-Health Informatics Group and the Information Management Group, focusing on interdisciplinary research in bioinformatics, ontology development, and semantic technologies. His academic journey includes a B.Sc. in Biochemistry, an M.Sc. in Biological Computation, and a D.Phil. in Computer Science. He has supervised over 10 PhD students, mentoring them in areas such as biomedical semantics, ontology engineering, and accessibility technologies. His research emphasizes managing complex biological data through ontologies, semantic web technologies, and e-Science frameworks like Taverna Workflow Workbench. Notable projects include TAMBIS, a bioinformatics integration system, and contributions to the OpenPHACTS and myGrid initiatives. Stevens teaches courses on ontology languages (OWL) and computational biology, emphasizing practical applications in post-genome biology. His work supports UN Sustainable Development Goals related to advancing health and innovation.

Laura Hetrickمشاهده پروفایل

دانشیار

• Art Education
• Visual Culture
• Teacher Identity
• +۳ مورد دیگر

Laura Hetrick serves as Associate Professor in the School of Art and Design at the University of Illinois, with significant affiliations at the Beckman Institute for Advanced Science and Technology and the Carl R. Woese Institute for Genomic Biology. Her interdisciplinary work bridges art education, visual culture studies, and identity theory within these collaborative research environments. Her educational background includes a Doctor of Philosophy in Art Education from The Ohio State University (2010), establishing foundational expertise in pedagogical theory and visual learning. Hetrick's research critically examines teacher identity formation through psychoanalytic frameworks while exploring contemporary visual phenomena like fandoms and digital streaming cultures. She investigates how streamers function as informal arts educators and analyzes intersectional identities in scholarly contexts, particularly focusing on marginalized experiences in art education. Her work consistently connects theoretical psychoanalysis with practical classroom applications and emerging digital landscapes. Recent publications reveal a trajectory toward digital pedagogy and critical identity studies, with increasing emphasis on neurodiversity, race, and gender intersections within art education scholarship. Her editorial leadership in Visual Arts Research further shapes discourse in the field. No scientific awards were documented in the source materials. Hetrick maintains active scholarly engagement through editorial work but no student advising or grant activities were specified in the available information. Her institutional affiliations with the Beckman Institute and Carl R. Woese Institute facilitate cross-disciplinary collaborations in advanced science and genomic research contexts, though specific lab teams weren't detailed.

• Big data analytics
• Scalable intelligent information systems
• Cloud data analytics
• +۶ مورد دیگر

Yanlei Diao is a Professor of Computer Science at Ecole Polytechnique in France and also holds a professorship at the University of Massachusetts Amherst. She joined Ecole Polytechnique in September 2015 and leads the CEDAR research team focusing on Rich Data Exploration at Cloud Scale. Her work bridges theoretical computer science with practical big data systems that address real-world challenges in data analytics. Professor Diao's research spans big data analytics, scalable intelligent information systems, and cloud data processing infrastructure. Her work emphasizes practical solutions for explainable anomaly detection, interactive data exploration, and uncertain data management. She has pioneered systems like UDAO (a next-generation optimizer for cloud analytics), EXAD (explainable anomaly detection), AIDEme (interactive data exploration), and GESALL (genomic scalable analysis) that have influenced both academia and industry. Her recent publications reveal a strong focus on making big data analytics more explainable, efficient, and accessible. She has developed frameworks for unsupervised anomaly detection across heterogeneous domains, created benchmarks like Exathlon for evaluating explainable anomaly detection systems, and advanced human-in-the-loop approaches for interactive database exploration. Her work consistently bridges theoretical foundations with practical implementations in distributed systems. Selected Awards: ERC Consolidator Award (2017-2023) for "Charting a New Horizon of Big and Fast Data Analysis through Integrated Algorithm Design" CRA-W Borg Early Career Award (2013) NSF CAREER Award (2008) IBM Innovation Award on Scalable Data Analytics (2010) Professor Diao actively mentors PhD and Master's students, with former students now holding positions at top technology companies including Google, Facebook, Amazon, Netflix, and Huawei. Her research is supported by diverse funding sources including the European Research Council, National Science Foundation, ANR, and industry partners like Google, IBM, and Alibaba. She serves as PC Co-Chair of PVLDB 2025-2026 and has delivered keynotes at major industry events including Amazon Machine Learning Workshop (2024), SWIFT AI Forum (2023), and Berlin Institute for the Foundations of Learning and Data (2022). Her CEDAR research team at Inria/LIX develops cutting-edge technologies for big data analytics, with current projects focusing on foundation models for big data, explainable AI for anomaly detection, and genomic data analysis at scale. The team maintains strong collaborations with industry partners including Alibaba Cloud, where joint work has led to significant publications at top database conferences.