جست‌وجوی استاد و پژوهشگر

• Natural Language Generation
• Vision and Language Models
• Data Pruning
• +۸ مورد دیگر

Albert Gatt is a researcher at the University of Malta , with extensive contributions to Natural Language Generation (NLG) , Vision-and-Language (V&L) models , and evaluation practices in NLP . His work spans multimodal reasoning, data pruning efficiency, and reproducibility challenges in human evaluations. Key collaborations include studies on temporal grounding in image sequences (TempVS benchmark) and automated legal violation detection in cookie banners. Research highlights include bridging linguistic theory with computational models (e.g., VALSE benchmark for multimodal grounding) and improving generation quality through contrastive learning frameworks. Scientific awards are not explicitly mentioned in the provided texts. His work emphasizes rigor in automatic metric validation and cross-modal interpretability , particularly in multimodal model attention mechanisms and logical formula minimization for text generation.

Stephen Fordhamمشاهده پروفایل

مدرس

• Bacterial Genomics
• Antimicrobial Resistance (AMR)
• Mobile Genetic Elements (MGEs)
• +۳ مورد دیگر

Stephen Fordham is a Lecturer in Biosciences at Bournemouth University. His research focuses on bacterial whole genome sequencing (WGS) of priority pathogens, particularly Klebsiella pneumoniae and Escherichia coli, emphasizing antimicrobial resistance (AMR), virulence genes, and mobile genetic elements (MGEs). Collaborates with University Hospital Dorset (UHD) NHS Foundation Trust Develops computational tools for genomic analysis Utilizes Python for data visualization in healthcare research His work is supported by the Pfizer Global Medical Grant (68198087). He also contributes to open-source software development, including the BacGenomePipeline for bacterial genome assembly and annotation.

Sidharth Jayachandranمشاهده پروفایل

پژوهشگر ارشد

• Natural Products
• Advanced Biofuels
• Bioproducts
• +۶ مورد دیگر

Sidharth Jayachandran is a Research Fellow at the Novo Nordisk Foundation Center for Biosustainability under Technical University of Denmark (DTU) , specializing in the DTU Microbes Initiative and Yeast Natural Products department. His academic career includes a PhD (2022–2025) focused on engineering Yarrowia lipolytica for plant triterpenoid production. His research interests span Natural Products , Advanced Biofuels , Biosynthetic Gene Clusters , Polyketide Synthases , and Terpenoids . Recent publications highlight his work in bioinformatics-driven curation of biosynthetic pathways, microbial engineering for sustainable bioproducts, and heterologous expression systems. Notable collaborations include partnerships with Pablo Cruz-Morales , Jay Keasling , and Irina Borodina . His work contributes to UN Sustainable Development Goals (SDGs), particularly Responsible Consumption and Production and Climate Action , through innovations in biofuel and bioproduct sustainability.

• Knowledge Representation
• Ontology Engineering
• Semantic Web
• +۶ مورد دیگر

Cassia Trojahn is a permanent Lecturer at the University of Toulouse 2 Jean Jaurès , affiliated with IRIT - UMR 5505, Department of Mathematics and Computer Science. Her career spans institutions in France, Portugal, Brazil, and the Netherlands, with roles including Expert Engineer at Joseph Fourier University and Post-Doc at INRIA Rhône-Alpes. Education Semantic Web, Ontology Alignment, Business Intelligence (University of Toulouse) Functional Programming (Haskell, Scala), Information Extraction (Pierre Mendès University) Graph Theory and Complexity (University of Évora) Research Interests : Knowledge representation and semantic web technologies Ontology alignment methodologies (argumentation, complex alignments, holistic approaches) Earth observation data integration with contextual information Open science and FAIR data principles Argumentation frameworks for mapping reconciliation Query rewriting with complex correspondences Advising : Co-supervised 5 PhD theses across France and Brazil, including: Jordane Dorne (2018-2021) - Earth observation semantic change detection Élodie Thiéblin (2016-2019) - Complex ontology alignment Roger Granada (2011-2015) - Hierarchical relations extraction Projects : Participated in international (CAMELEON, MULTIFARM) and European (EFFECTOR, CANDELA, SEALS) projects focused on multilingual ontology alignment, maritime situational awareness, and semantic earth observation data analysis.

Matthew C. Gageمشاهده پروفایل

مدرس ارشد

• Immunology
• Diabetes
• Cardiovascular Disease
• +۳ مورد دیگر

Matthew C. Gage is a Senior Lecturer and Research Group Leader at the Royal Veterinary College, University of London, within the Department of Comparative Biomedical Sciences. His research program investigates insulin's dual roles in glucose regulation and immune modulation, with implications for diabetes and cardiovascular disease. Funded by the British Heart Foundation, Diabetes UK, and Society for Endocrinology, Gage's work bridges molecular mechanisms and therapeutic applications. Education includes: PhD in Biochemistry, University of Leeds (2006) BSc (Hons) Biological Sciences with Molecular Genetics, University of Warwick (2002) Research explores insulin's immunomodulatory functions in macrophages, nuclear receptor signaling (particularly LXRα phosphorylation), and metabolic inflammation. His group employs preclinical models to identify novel therapeutic targets for cardiometabolic disorders, emphasizing macrophage polarization, endothelial dysfunction, and tissue-specific insulin resistance. Publications primarily focus on immunometabolism, nuclear receptor biology, and vascular pathophysiology. Recent trends highlight macrophage-centric mechanisms in diabetes complications, fatty liver disease, and therapeutic interventions like SGLT2 inhibitors and statins. Awards and honors: BHF Researcher Engagement Award Finalist (2018) UCL Cardiovascular Symposium 1st Prize (2016) 3x Diabetes UK Young Investigator Finalist (2009, 2011, 2014) Gage leads the Cardiovascular and Renal Biology research group, supervises PhD candidates, and serves as Year 3 Leader for Biosciences. He coordinates public engagement through school outreach, patient talks, and institutional fundraising initiatives.

• Geoinformatics
• Computer Graphics
• Computer Vision
• +۵ مورد دیگر

Prof. Dr. rer. nat. habil. Stephan Kopf is a faculty member at the Faculty of Spatial Information, where he holds the Professorship in Informatics and Geoinformatics. He actively contributes to research in geographic information systems (GIS), computer graphics, computer vision, and multimedia technologies. His academic leadership roles include serving as Dean and as a member of the Faculty Council, with advisory roles in the Senate. His research spans crowd simulation , image/video retargeting , augmented reality platforms , and interactive learning systems . He focuses on algorithm development for GIS, temporal effects in re-captured video, and scalable solutions for classroom interactivity. His work frequently integrates machine learning, mobile computing, and geospatial data. For teaching, he oversees courses such as Internet Technologies, Informatics, and Programming in degree programs like Geoinformatics/Management and Surveying. He supervises theses involving programming-centric topics like mobile app development , VR applications , and astronomical analysis of geospatial data .

• Metabolomics
• Computer Vision
• Amino Acids
• +۵ مورد دیگر

Ron Wehrens is a researcher at Biometris , part of Wageningen University & Research. His work spans interdisciplinary applications of machine learning, metabolomics, and computer vision in agricultural and biological sciences. Developing statistical tools in R (e.g., aaresponse , Kohonen packages) Applying AI/ML to problems in floriculture, animal behavior, and nutritional science Collaborating on projects involving remote sensing, plant phenotyping, and metabolic health studies Research Interests include metabolomics, deep learning for agricultural robotics, and behavioral analysis in livestock. His recent work focuses on self-organizing maps for data clustering and trait estimation in plants. Scientific Awards : No explicit awards mentioned in the text.

Harald Koschمشاهده پروفایل

استاد

• Distributed Information Systems
• Big Data
• eHumanities
• +۳ مورد دیگر

Professor Harald Kosch serves as Vice President for Academic Infrastructure and IT at the University of Passau. Since 2006, he holds the Chair of Distributed Information Systems within the Faculty of Computer Science and Mathematics. He co-leads the tri-national IRIXYS research center (University of Passau, INSA Lyon, Università di Milano) and directs the German-French DFH/UFA Doctoral College. Current academic leadership roles Specialization in distributed systems and big data International research networks in digital innovation Recipient of French academic distinction His team develops tools for distributed information processing in multimedia and data-intensive applications, with applications in eHumanities and emergency logistics. Research emphasizes cross-border collaboration and technology transfer between academia and industry. Scientific distinctions include: Chevalier de l'Ordre des Palmes Académiques 2022 DFH Dissertation Prize (for Dr. Benjamin Planche) Active in EU digital strategy, Bavarian sustainability initiatives, and Franco-Bavarian AI competitions.

• Biomedical Engineering
• Medical Imaging
• Cancer Research
• +۷ مورد دیگر

Amoon Jamzad is an Adjunct Assistant Professor at the School of Computing, Queen's University, and a postdoctoral fellow at Med-I Lab. He holds a BSc in Electrical Engineering (Electronics) from University of Tehran (2007), an MSc in Biomedical Engineering (2010), and a PhD in Biomedical Engineering (2015). His doctoral research focused on noninvasive ultrasound analysis of kidney stones. He later served as a guest lecturer and lab instructor at University of Tehran for 3 years before joining Queen's University in 2019. BSc: Electrical Engineering (Electronics), University of Tehran (2007) MSc: Biomedical Engineering, University of Tehran (2010) PhD: Biomedical Engineering, University of Tehran (2015) Dr. Jamzad's research centers on cancer cell detection, particularly in developing ultrasonic and optical spectroscopic devices for surgical margin detection. His work integrates advanced machine learning techniques with clinical applications, focusing on breast and prostate cancer surgery. He has pioneered the use of mass spectrometry imaging for cancer margin assessment and developed open-source platforms like ViPRE and MassVision for AI-driven medical data analysis. His recent publications demonstrate expertise in self-supervised learning, domain adaptation, and uncertainty quantification within medical imaging contexts. While no specific awards are mentioned, his contributions to surgical oncology tools and multi-center prostate cancer studies indicate significant clinical impact. He has also explored temporal enhanced ultrasound for composite defect detection and electrosurgical cautery state recognition through deep learning.

• Environmental Chemistry
• Analytical Chemistry
• Toxicology
• +۴ مورد دیگر

Martin Krauss is a prominent environmental chemist and researcher with extensive contributions to contaminant analysis, pesticide fate, and bioavailability studies. His work spans 2000-2025, focusing on advanced analytical techniques like LC-HRMS, Orbitrap mass spectrometry, and biota-to-soil accumulation factor modeling. Key research areas include: Environmental fate of nitrosamines, PAHs, and PCBs Development of extraction methods for complex matrices Covalent binding mechanisms in soil organic matter Toxic pressure assessment in aquatic ecosystems Integration of omics data into toxicokinetic-toxicodynamic (TKTD) models Non-target screening of emerging contaminants His articles demonstrate methodological innovations in environmental monitoring, combining solid-phase extraction , high-resolution mass spectrometry , and biological assays . Recent work (2025) explores wastewater discharge patterns through temporal clustering , while 2024 studies link gene expression to zebrafish embryo toxicity . Collaborations with Juliane Hollender, Wolfgang Wilcke, and Werner Brack highlight his interdisciplinary approach across environmental science , analytical chemistry , and toxicology . His findings inform chemical risk assessment frameworks and pollution mitigation strategies.

Natalie Pardeمشاهده پروفایل

دانشیار

• Natural Language Processing
• Interactive Systems
• Multimodality
• +۲ مورد دیگر

Natalie Parde is an Associate Professor and Co-Director of Undergraduate Studies in the Department of Computer Science at the University of Illinois Chicago (UIC). She co-directs the UIC Natural Language Processing Laboratory and holds affiliations with the AI.Health4All Center for Health Equity using Machine Learning and Artificial Intelligence as well as the UIC Honors College. Her research focuses on natural language processing with applications in healthcare, multimodal communication, and creative language analysis. Ph.D., Computer Science and Engineering, University of North Texas M.S., Computer Science, University of North Texas B.S., Computer Science, University of North Texas Parde's research spans three primary strands: NLP interfaces for educational technology, health-oriented summarization, and multimodal communication systems. Recent publications highlight advancements in dementia detection through spoken language analysis, empathy prediction in conversational systems, and multimodal emotion classification. Her work frequently addresses healthcare applications of NLP, including mental health assessment and medical self-disclosure detection. Scientific awards include the Dr. Hermann Zemlicka Award for Most Visionary Paper at Gmunden Retreat on NeuroIS 2024. She has advised numerous doctoral students, including Gyeongeun Lee working on empathy detection via figurative language, Shahla Farzana researching dementia detection methods, and Mohammad Arvan investigating reproducibility in NLP evaluations. The UIC NLP Lab under her direction focuses on developing NLP systems that positively impact society through educational technology interfaces and healthcare applications.

• Arabic Natural Language Processing
• Machine Translation
• Dialect Identification
• +۷ مورد دیگر

Ahmed Abdelali is a prominent researcher at Hamad Bin Khalifa University's Qatar Computing Research Institute (QCRI), where he works in the Arabic Language Technologies department. With 97 publications spanning from 2004 to 2024, he has established himself as a leading figure in Arabic natural language processing research. His work has been presented at major conferences including ACL, EMNLP, EACL, and specialized Arabic NLP venues. Dr. Abdelali's research focuses on several key areas within Arabic computational linguistics, with particular emphasis on Arabic language technologies. His work spans Arabic dialect identification, diacritization, machine translation, offensive language detection, and part-of-speech tagging. In recent years, he has been at the forefront of adapting large language models for Arabic language processing, contributing significantly to benchmarking frameworks like LAraBench and LLMeBench that evaluate Arabic language models' performance. His publication record shows consistent high-impact contributions, with notable collaborations with researchers including Hamdy Mubarak (45 co-authored papers), Kareem Darwish (38 co-authored papers), and Nadir Durrani (26 co-authored papers). Recent work has focused on large language models for Arabic, cross-lingual spaces, and benchmarking frameworks to advance Arabic AI capabilities. His research bridges theoretical advances with practical applications, particularly in processing the linguistic complexities of Arabic and its dialects. Through his leadership in developing resources like the Farasa segmenter and contributions to major Arabic NLP conferences, Dr. Abdelali has played a pivotal role in establishing the infrastructure and community for Arabic language technology research.

• Social Network Analysis
• Misinformation Detection
• Human Mobility Modeling
• +۴ مورد دیگر

Jussara M. Almeida is an established computer science researcher specializing in social network analysis, misinformation detection, and human mobility modeling. Her extensive publication record (1996–2025) demonstrates active research in web science, political communication on messaging platforms (WhatsApp/Telegram), and cloud systems. She frequently collaborates with Brazilian institutions and international partners on large-scale data projects. Research Focus: Her core interests include: Modeling information diffusion in encrypted messaging apps (WhatsApp/Telegram) Predicting human mobility patterns and privacy implications Analyzing political discourse and election-related coordination online Developing computational methods for misinformation detection Optimizing cloud/edge computing performance Publication Trends: Recent work (2021-2025) shows intensified focus on: Telegram's role in political mobilization and information dissemination Advanced techniques for identifying fake news websites and image-based misinformation Privacy-preserving mobility analysis and edge computing Child safety in live-streaming platforms Collaborations & Impact: Key collaborators include Marcos André Gonçalves, Fabrício Benevenuto, and Marco Mellia. Her research provides critical insights into real-world problems like election integrity, platform governance, and user privacy.

Doris Tophinkeمشاهده پروفایل

استاد

• Literacy and Writing Practices
• Graffiti Studies
• (Social-)Cognitive Grammar
• +۵ مورد دیگر

Professor Doris Tophinke is affiliated with the University of Paderborn, where she serves in the Faculty of Cultural Studies within the Institute of German Studies and Comparative Literature, specifically in the Department of German and General Linguistics. She maintains her office in room H3.134 at Warburger Str. 100, 33098 Paderborn and serves as the project leader for the Paderborn location of the Dialect Atlas of Central West Germany (DMW). Professor Tophinke's research spans multiple interconnected areas within linguistics, with a primary focus on literacy and writing practices across historical and contemporary contexts. Her work uniquely bridges contemporary graffiti studies with medieval linguistic research, examining how written forms carry grammatical significance. She investigates 'small forms' of writing like graffiti through the lens of multimodal grammar and cognitive linguistics, while simultaneously documenting language change through her extensive work on Low German dialects and the Dialect Atlas of Central West Germany. Her research demonstrates how seemingly marginal linguistic phenomena provide profound insights into grammatical structures and language evolution. The patterns in her recent publications reveal consistent engagement with informal language in everyday contexts - from street graffiti to digital communication. Her scholarly output shows increasing interdisciplinary collaboration, particularly with computational linguists on projects analyzing grammatical change. Her work on political graffiti and linguistic expressions demonstrates how language functions as political commentary and social identity marker in public spaces. Since 2008: Member of the editorial board of Praxis Deutsch (Friedrich Verlag) Since 2008: Member of the editorial board of Zeitschrift für Germanistische Linguistik (de Gruyter) December 2011-February 2016: Member of the DFG Subject Committee 'Sprachwissenschaften' October 2011-September 2015: Service in DAAD selection committees Since March 2019: Member of the review board of 'Niederdeutsches Wort' journal Since June 2019: Member of the advisory board for Low German language at the Ministry of Home Affairs of North Rhine-Westphalia September 2011-May 2019: Deputy Ombudsperson for Good Scientific Practice at University of Paderborn June 2019-March 2022: Ombudsperson for Good Scientific Practice at University of Paderborn Professor Tophinke actively supervises doctoral students through the DMW project and related research initiatives, providing opportunities for students to work with research data in their theses. She teaches courses including 'Zeichensetzung und (komplexe) Sätze' (Punctuation and Complex Sentences), 'Wörter: Semantik und Funktionen im Wandel' (Words: Semantics and Functional Change), and 'Der Wortschatz der Mode' (Vocabulary of Fashion), integrating her research interests across German teacher training programs and Linguistics degree programs. She leads the Paderborn team for the Dialect Atlas of Central West Germany (DMW), which involves systematic fieldwork collecting dialect data throughout North Rhine-Westphalia and neighboring states. The project team includes scientific associates, research assistants, and student collaborators who conduct interviews in participants' homes across the survey region, documenting linguistic variations with particular attention to Low German where it is still spoken. The team also works on the Informationssystem Graffiti in Deutschland (INGRID) project, which catalogs and analyzes graffiti as a linguistic phenomenon.

Konstantinos Banitsasمشاهده پروفایل

مدرس ارشد

• Telemedicine
• Wireless Sensors
• Ambient Assisted Living
• +۴ مورد دیگر

Konstantinos Banitsas is a Senior Lecturer at the Department of Electronic and Computer Engineering , Brunel University London, affiliated with the College of Engineering, Design and Physical Sciences and the Wireless Networks and Communications Centre . Holding a PhD in Telemedicine (2004), an MSc in Electronic Engineering (1997), and a BSc in Computer Science (1995), he has taught computer networking, mobile communications, and internet engineering while supervising undergraduate and postgraduate projects. His research spans telemedicine , wireless sensors , and medical imaging , with recent publications focusing on spinal cord injury treatments , myoelectric sensors for movement classification , and low-cost EMG sensor validation . Earlier work explored Microsoft Kinect applications in gait analysis, wireless medical image security , and 3G network utilization in emergency telemedicine . Dr. Banitsas supervises 4 PhD students in telemedicine and medical imaging, contributes to projects like DoctorEye (a tumor annotation platform), and participates in the IEHS research group . His work emphasizes practical implementations of wireless technologies in healthcare, including ambulance teleconsultation systems and wearable devices.