Professor Bernd Möbius is a leading academic in Phonetics and Phonology at the Department of Language Science and Technology, Saarland University. His research bridges phonetic theory with speech technology applications, focusing on text-to-speech systems, prosody modeling, and computational simulations of speech processes. Current research projects: DFG SFB 1102, C1: Information density and phonetic structure predictability DFG SFB 1102, C4: Slavic intercomprehension and surprisal theory (INCOMSLAV) Research Themes: Key areas include text-to-speech synthesis, speech prosody analysis, experimental methods in speech production/perception, information density in phonetics, and cross-linguistic studies of Slavic-Germanic languages. Scientific Contributions: Recent work explores Parkinson-induced dysarthria detection, breath noise acoustics, surprisal-driven speech behaviors, multilingual BERT models for idiomaticity, and perceptual consequences of acoustic adjustments.
Maxim Romanov heads 'The Evolution of Islamic Societies' project at University of Hamburg's Asia-Africa-Institut, funded by DFG's Emmy Noether Program. Former positions include senior research fellow at KITAB Project and University of Vienna. Research reconstructs social history of Islamic world (c.600-1600 CE) through computational analysis of Arabic chronicles and biographical collections. Research Focus: Digital humanities approaches to premodern Islamic history including OCR development for Arabic manuscripts, corpus linguistics, and geospatial modeling of historical data. Technical Contributions: Developed OpenITI corpus infrastructure, al-Ṯurayyā gazetteer system, and computational methods for large-scale historical text analysis. Recent work enhances NLP for classical Arabic with OCR accuracy exceeding 90%.
Timothy Baldwin is a Professor at the University of Melbourne, School of Computing and Information Systems, with additional affiliation at Mohamed bin Zayed University of Artificial Intelligence in UAE. His research spans natural language processing, large language models, and multilingual AI systems. His research interests focus on the safety, reliability, and ethical aspects of large language models. He investigates bias evaluation and debiasing techniques, uncertainty quantification methods, fact-checking systems, and multilingual model safety. His work addresses critical challenges in making AI systems more transparent, reliable, and culturally aware, with particular attention to low-resource languages and cross-cultural differences. Baldwin's recent publications demonstrate a strong focus on evaluating and improving the safety of language models across diverse linguistic contexts, developing tools for fact verification, and understanding the internal mechanisms of large language models. His research shows increasing emphasis on practical applications with real-world impact, particularly in multilingual settings and safety-critical domains. His scientific contributions include foundational work on multilingual NLP, bias mitigation techniques, and frameworks for evaluating LLM safety across different cultural contexts. His research has been published in top-tier venues including ACL, NAACL, EMNLP, and ICLR. Baldwin actively mentors students and junior researchers, with frequent collaborations with Haonan Li, Xudong Han, and Fajri Koto, among others. His research group appears to focus on practical applications of NLP with strong ethical considerations, particularly regarding model safety and cultural sensitivity.
Dr. Christoph Günther is a researcher at the Institute of Ethnology and African Studies at Johannes Gutenberg University Mainz, where he leads a BMBF-funded Junior Research Group on Jihadism on the Internet since 2017. Previously, he served as a Guest Professor at the same institution during Summer Semester 2016, hosted by Prof. Dr. Matthias Krings. His academic journey includes research positions at the Max Planck Institute for Social Anthropology in Halle/Saale until 2016 and teaching appointments at the Universities of Marburg and Leipzig. PhD from University of Leipzig (2013) MA in Islamic Studies, History and Arabic Studies from University of Bamberg (2002-2008) Studies at University of Cairo (2004/2005) DFG Research Training Group Fellow at University of Leipzig (2010-2013) Dr. Günther specializes in the ideology and visual culture of the Islamic State (IS), with particular focus on jihadist online propaganda, visual communication strategies, and the intersection of religious ideology with state-building aspirations. His research examines how IS constructs authority through visual media and how these materials are received and appropriated by various audiences. He is recognized as an expert in this field and is frequently consulted by media outlets for his in-depth knowledge of IS propaganda mechanisms. His research has identified significant shifts in jihadist propaganda quality since 2013, moving beyond traditional political or Islamic studies approaches to incorporate media-cultural and media-anthropological perspectives. This interdisciplinary approach provides novel insights into jihadists' self-perception and how their messaging resonates with different audiences, including non-regional viewers in the 'Global North' and regional Arabic-speaking populations. Regular media commentator on IS ideology and visual culture Organizer of the 'Jihadi Audiovisualities' conference (October 2018) Conducted research on IS propaganda targeting Western audiences Investigated regional Arabic material from Syria and Iraq Analyzed Boko Haram's Hausa-language propaganda Dr. Günther's work bridges academic research and practical counter-terrorism efforts through his contributions to understanding jihadist justification narratives and potential counter-narratives. His research has significant societal relevance given the evolving nature of online radicalization and the professionalization of jihadist media production.
Robert Ziegler serves as Associate Professor at the Institute of Philosophy within the Faculty of Human Sciences at the University of Würzburg, Germany. His academic career spans over 20 years with significant contributions to continental philosophy, evidenced by numerous monographs and peer-reviewed publications. He maintains active research leadership in three university research clusters while teaching courses such as War and Peace (Winter Semester 2025/26). His educational trajectory includes: Philosophy, Classical Philology (Latin), and History studies at Würzburg (2000-2003) Advanced philosophy studies at Sorbonne University (2003-2005) Master's thesis on Husserl and Cavaillès (2004) Doctorate on Pascal from Würzburg/Paris IV-Sorbonne (2009) Habilitation at Würzburg (2015) Ziegler's research centers on metaphysical immanence, early modern rationalism, and 20th-century phenomenology. His work critically engages Pascal's religious philosophy, Spinoza's ontology, and Levinas' ethics while bridging psychoanalysis and political theory. Recent scholarship examines reactionary political strategies, affective structures in social crises, and the emergence of novelty through materialist frameworks. His interdisciplinary approach connects historical analysis with contemporary philosophical challenges. Analysis of his 15 most recent publications reveals consistent thematic threads: the phenomenology of affect in political contexts, reconceptualizations of rationality through embodied practices, and critical examinations of reactionary thought. His publications demonstrate methodological diversity—integrating textual analysis of historical figures with original contributions to ontology, political philosophy, and the philosophy of science—while maintaining focus on immanence as a unifying metaphysical framework. His scientific recognition includes: Research Prize of the Faculty of Human Sciences (2019) Bavarian Elite Fund Doctoral Scholarship (2005/6) DAAD Scholarship (2003/4) Professor Ziegler has secured substantial research funding including multiple DFG projects on Cicero's Tusculanae disputationes , non-object-directed intentionality, and practical reasons before Kant, plus a Fritz Thyssen Foundation project on intention formation. As a lecturer since 2005, he has supervised numerous doctoral and master's students, contributing to graduate education through seminars on political philosophy and metaphysics. His editorial work includes co-editing The Inner Logic of Creativity (2013). He actively participates in the Institute's Research Focus on Phenomenology, Research Focus on the Greek-Arabic-Latin Tradition, and Research Focus on Social Philosophy and Ethics. These groups organize the Phenomenological Colloquium, lecture series on philosophical research, and interdisciplinary workshops that foster cross-traditional dialogue in contemporary philosophy.
Dr. Anne Lauscher is a Researcher at the Data and Web Science Group, University of Mannheim, School of Business Informatics and Mathematics. Her work focuses on neural methods for natural language understanding, particularly in Argument Mining, Scientific Publication Mining (scitorics), and ethical considerations in NLP. She investigates language representations, bias detection in models, and fair AI. She has been involved in projects like the Linked Open Citation Database (LOC-DB) and contributes to conferences like ACL and EMNLP. She has taught courses on Text Analytics, Machine Learning, and Ethics in NLP, and supervised theses on topics like detecting unfairness in Arabic text representations and hyperpartisan news detection. Her research bridges computational linguistics with societal ethics, aiming to improve fairness and interpretability in AI systems. Her research interests span Argumentation Mining, Scientific Publication Mining, scitorics, Transfer Learning, Representation Learning, and Ethics in NLP. She explores how to inject knowledge into language models and analyze biases in text representations. Her work on 'scitorics' involves analyzing rhetorical aspects of scientific writing to understand argumentation structures. Publications highlight contributions to bias mitigation (e.g., DebIE platform), specialized language models, and multilingual datasets like Multi2WOZ. Her work appears in top venues such as EMNLP, ACL, and COLING. She actively contributes to the academic community through roles like Publication Co-Chair for EurNLP 2020 and PC member for multiple conferences. Her advising includes guiding students on thesis projects addressing fairness, argumentation, and NLP applications. She collaborates with institutions like Stuttgart Media University and the Data and Web Science Group to advance research in ethical AI and NLP.
Tien Ping Tan is an experienced researcher specializing in speech recognition , natural language processing , and machine learning applications. With a PhD in Automatic Speech Recognition for Non-Native Speakers from Joseph Fourier University (2008), his career spans two decades of impactful contributions across multiple domains.
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.
Taiseer Abdalla Elfadil Eisa is a researcher actively contributing to data science, machine learning, and academic integrity. His work spans plagiarism detection in scientific figures and digital media, robotic manipulation in cluttered environments, and Arabic speech dataset development for demographic analysis. He has collaborated with scholars from institutions in Malaysia, Saudi Arabia, and Yemen. His research interests include: Text and image-based plagiarism detection Machine learning for speech and facial analysis Computer vision for academic integrity Data mining for scientific publications Recent publications focus on: Arabic speech datasets (2024) Deepfake detection (2023) Robotic manipulation (2022) Systematic literature reviews (2015-2020)
Timothy K. Shih is an active academic researcher with over 30 years of scholarly contributions, evidenced by his extensive publication record from 1991 through 2025. With more than 380 publications spanning numerous prestigious venues including IEEE Access, Multimedia Tools and Applications, and Lecture Notes in Computer Science, he maintains a robust research profile with consistent annual output (20+ papers in peak years). His work demonstrates leadership through frequent senior/corresponding author positions and collaborations with numerous researchers across international institutions. Dr. Shih's research interests encompass a diverse range of computer science disciplines with particular emphasis on Computer Vision , Human-Computer Interaction , and AI Applications . His work bridges theoretical advancements with practical implementations in educational technology, accessibility solutions, and multimedia systems. Recent publications reveal a strategic focus on applying deep learning techniques to solve real-world problems in sign language recognition, gesture analysis, and wireless sensing applications. Analysis of his publication trends over the past five years shows increasing specialization in multimodal AI systems, with significant contributions to sign language technology (including Arabic Sign Language recognition), WiFi-based human activity recognition, and music technology applications. His research demonstrates strong interdisciplinary connections between computer vision, machine learning, and human-centered computing, with practical applications spanning educational technology, accessibility solutions, and smart environments. Through his mentorship, Dr. Shih has guided numerous junior researchers who have become frequent collaborators, including Chih-Yang Lin, Hsin-Hung Cho, and Tipajin Thaipisutikul. His research program appears well-funded through consistent publication output across multiple project areas, suggesting successful grant acquisition in computer vision, AI, and educational technology domains. Current work indicates active involvement in cutting-edge research on diffusion models for audio processing, enhanced sign language recognition systems, and novel approaches to WiFi-based human interaction analysis.
Prof. Günter Neumann is a Professor of Computational Linguistics at Saarland University and a Research Fellow at the German Research Center for Artificial Intelligence (DFKI) . He has over 30 years of experience in research software development, with a focus on language technology , information extraction , and question answering systems . PhD in Computer Science (1994) and Venia Legendi in Computational Linguistics (2004) from Saarland University Visiting researcher at Stanford , CMU , and MIT His research spans computational linguistics , artificial intelligence , and their applications in defence , healthcare , and education . He leads projects like AtLaS (AI-based NLP for low-quality data in defence), PRECISE4Q (predictive modeling in stroke medicine), and iREAD (personalized reading apps). Recent publications focus on low-resource language retrieval , cross-lingual transfer , and graph-based reasoning in biomedical domains. He has participated in numerous program committees (ACL, AAAI, LREC) and contributed to advancements in multilingual question answering , knowledge graph reasoning , and medical text de-identification . He has collaborated with institutions like Fondazione Bruno Kessler , econob , and NICE Systems . Current tools developed with his team power semantic search services for Informationsdienst Wissenschaft and the Deutsche Allianz Meeresforschung portal.
Dr. Tobias Strauß is a Lecturer at the Institute of Mathematics, Faculty of Mathematics and Natural Sciences, University of Rostock. He teaches courses such as Elementary Algebra and Number Theory and Analytical Geometry, focusing on foundational mathematical concepts and their applications. His research interests span historical document analysis, machine learning, and neural networks, with a particular emphasis on handwritten text recognition (HTR) and computational solutions for cultural heritage digitization. He actively contributes to the Mathematics Society RHO eV, supporting students in mathematics competitions and enrichment programs. Dr. Strauß’s research combines computer vision and machine learning to address challenges in document analysis, including text line detection, cursive script recognition, and keyword search in historical manuscripts. His work also explores semi-supervised learning techniques and neural network architectures tailored for HTR tasks. Through RHO eV, he promotes mathematics education through weekend seminars, district clubs, and game-based learning activities, fostering student engagement and problem-solving skills. His publications highlight advancements in HTR systems, such as the CITlab Recognition & Retrieval Engine, and address topics like regular expression-based decoding and Arabic handwriting recognition. These contributions underscore his expertise in bridging theoretical mathematics with practical applications in digital humanities and education. Dr. Strauß can be contacted via tobias.strauss@uni-rostock.de or through the university’s chat platform. No formal awards or grants are noted in the provided materials, though his involvement in international competitions (e.g., ICFHR, ICDAR) reflects his scholarly engagement.
Cédric Hammou Fadili is a researcher at the Conservatoire National des Arts et Métiers (CNAM) with a focus on Artificial Intelligence , Natural Language Processing , and Digital Humanities . His work bridges computational methods with sociocultural challenges, particularly in Amazigh/Berber language preservation and low-resource language processing . Active in chatbot development for education and language learning (2022-2024) Pioneering semantic wiktionaries for social sciences (2017-2022) Key contributions to blockchain-AI integration for model transparency (2020-2021) Research Trends : His 15 most recent publications (2019-2024) emphasize chatbot personalization , Arabic/Berber language normalization , and semantic knowledge organization . Technical approaches frequently combine deep learning (Bi-LSTM), ontological modeling , and linked open data frameworks. Collaborative Networks : Worked with institutions in Morocco (Rabat), Tunisia (Tunis), Egypt (Cairo), and France (CNAM, Inalco). Key collaborators include M. Chakiri (Berber ontologies), C. Jouis (contextual data exploration), and J-G. Ganascia (semantic mining). Long-Term Impact : His career spans from 1997 (SemioNet project) to 2024, consistently focusing on cultural preservation through digital methods , including semantic web applications (1998-2016), collaborative portals (2003-2008), and multilingual knowledge systems for Francophone regions.
Martin Beck is a Professor of International Relations and Security Studies currently serving as a substitute professor (Vertretungsprofessor) for Middle Eastern Politics at Philipps-Universität Marburg's Center for Near and Middle Eastern Studies (Centrum für Nah- und Mittelost-Studien). He is on leave from his permanent position as Professor of International Relations and Security Studies at the University of Kurdistan Hewler (UKH) in Erbil, Iraq. Beck maintains additional affiliations with the University of Southern Denmark (SDU) and serves as an Associate at the German Institute for Global and Area Studies (GIGA). Beck received his academic education at the University of Tübingen, earning his doctorate in social sciences in 1994 and completing his habilitation in political science in 2001. His academic journey has taken him across multiple continents, with teaching and research positions in Europe (Tübingen, Hamburg, Bremen, and Odense), the United States (Denver, Colorado), and extensively throughout the Middle East (Palestine, Lebanon, Jordan, and Iraq). Martin Beck's research focuses on the international politics and political economy of the Middle East, with particular emphasis on regional power relations, the Arab-Israeli conflict, oil politics, comparative analysis of rentier states, migration studies, and critical security studies using the Copenhagen School framework. His work bridges theoretical approaches with empirical analysis of contemporary Middle Eastern politics, examining how global forces interact with regional dynamics. Beck's scholarship is characterized by its interdisciplinary nature, connecting political science with economics, security studies, and migration theory to provide comprehensive analyses of complex Middle Eastern issues. His most recent publications reveal a strong focus on the political economic dimensions of Middle Eastern conflicts, particularly examining how declining oil revenues have forced Gulf states to adjust their policies since 2014. Beck has also made significant contributions to understanding securitization processes related to migration, particularly regarding Syrian refugees in Lebanon and Muslim immigrants in Germany. His work consistently demonstrates how political economy frameworks can illuminate security dynamics in the region, challenging conventional wisdom about refugee 'crises' and migration securitization. Beck has taught an extensive range of courses across multiple institutions, covering topics including Middle Eastern politics, international oil politics, security studies, migration, and the Arab-Israeli conflict. His teaching spans both undergraduate and postgraduate levels, delivered in multiple languages including English and German, reflecting his international academic profile and deep engagement with the region he studies.
Florian Schiel is a Professor and senior researcher at the Ludwig-Maximilians-Universität München's Institute of Phonetics and Speech Processing. He holds the chair of Phonetic Speech Processing and leads research in speech technology, forensic phonetics, and sound change modeling. Previously, he directed the Bavarian Archive for Speech Signals (BAS) from 1996 to 2010 and founded BAS Services Schiel in 2005. He earned his habilitation in 2001, focusing on the interplay between speech technology and phonology. Education: Dipl.-Ing and Dr.-Ing (Electrical Engineering, TU Munich, 1990 and 1993); Habilitation (Philosophical Faculty, LMU, 2001) Key Projects: VERBMOBIL, SmartKom, BITS, SmartWeb; Agent-Based Modeling of Sound Change His research interests include speech corpus production, forensic phonetics, and analyzing large-scale speech data. He has supervised numerous PhD students and contributed to the Alcohol Language Corpus (ALC) and the MAUS phonetic segmentation tool.
