Find Academic Supervisors

• Computational Linguistics
• Natural Language Processing
• Grammar Engineering
• +3 more

PD Dr. phil. Evangelia Kordoni is a research assistant at Humboldt University of Berlin's Faculty of Linguistics and Literary Studies, specifically within the Institute for English and American Studies. Her office is located at Dorotheenstraße 28, Room 3.04, and she can be contacted via email for appointments. She is an active researcher in computational linguistics with a focus on grammar engineering and natural language processing. Kordoni's research primarily explores: Computational linguistics frameworks including HPSG grammar implementation Multiword expression processing and machine translation systems Treebank development for languages including English, German and Bulgarian Lexical acquisition methods for large-scale grammars Semantic parsing and disambiguation techniques Her work bridges theoretical linguistics with practical NLP applications. Kordoni's publication record shows consistent focus on deep linguistic processing, with recent emphasis on: Multiword expression analysis in machine translation systems Parallel treebank development for multilingual applications Verb subcategorization and compound noun disambiguation Dynamic annotation methodologies for Wall Street Journal texts Cross-linguistic studies of Germanic syntax

Renáta PavlováView profile

Lecturer

• Slovak as a foreign language
• Machine translation
• Reading comprehension development
• +4 more

Renáta Pavlová, PhD is a Lecturer for Slovak language at the Institute of Slavic Linguistics and Cultural Studies, Faculty of Humanities, University of Regensburg since September 2020. Previously, she served as a Scientific Assistant at Constantine the Philosopher University in Nitra (2017-2020) and as a Slovak Language Lecturer at the Slavic Institute, University of Cologne (2016-2013). Her academic journey includes completing her PhD at Constantine the Philosopher University in Nitra in 2011 with a dissertation on 'Slovak as a Foreign Language.' Dr. Pavlová's educational background includes: Studies in Slovak Language and Literature – German Language and Literature at Constantine the Philosopher University, Nitra (1998-2003) PhD in Slovak as a Foreign Language from Constantine the Philosopher University, Nitra (2011) Dr. Pavlová's research focuses on three interconnected areas: Slovak as a foreign language with emphasis on linguodidactic aspects, machine translation between German and Slovak, and the development of reading comprehension in foreign language learning. Her work in linguodidactics examines effective teaching methodologies for Slovak language acquisition, while her machine translation research analyzes error patterns and quality assessment. The reading comprehension strand investigates intervention programs for developing literacy skills in both native and foreign language contexts, with applications across primary and secondary education levels. Her recent publications demonstrate a consistent focus on the intersection of language learning, technology, and literacy development. The trend shows increasing attention to machine translation quality assessment, particularly examining morphosyntactic and lexical errors in German-Slovak translation. Her work also reveals a strong commitment to practical applications, with numerous publications on language testing, certification (particularly ECL exams), and intervention programs for reading comprehension. The collaborative nature of her research is evident through multiple co-authored works with colleagues across various institutions. Dr. Pavlová has been involved in several significant research projects including VEGA projects on reading comprehension development (2019, 2017), APVV projects on machine translation error classification (2018), and KEGA projects on language preparation (2019). She also contributed to international initiatives like EUROPODIANS (2009) for developing online Slovak courses and EURONOUNCE (2009) analyzing Slovak pronunciation by German speakers. As an educator, Dr. Pavlová teaches various Slovak language courses at University of Regensburg, including Slovak I, Slovak III (general and translation-specific), Slovak Conversation, and specialized seminars on Machine Translation. She actively participates in cultural outreach, having recently attended events with the Slovak Ambassador and the President of the Slovak Republic, demonstrating her role in promoting Slovak language and culture internationally.

Christian MairView profile

Professor

• Corpus Linguistics
• World Englishes
• Varieties of English
• +3 more

Professor Christian Mair is Chair of English Linguistics at the University of Freiburg, Germany, with a distinguished career spanning decades in linguistic research. He holds a prominent position in the Department of English Linguistics within the Faculty of Humanities and maintains an active research profile with regular publications and supervisory responsibilities. Professor Mair's scholarly work centers on corpus-based approaches to understanding language variation and change, with particular expertise in: World Englishes and their global development Corpus linguistics methodology and application Historical and contemporary grammatical changes in English Sociolinguistic aspects of language contact and variation Pidgin and creole languages in diaspora contexts English as a Lingua Franca in non-traditional English-speaking environments His recent research demonstrates sustained engagement with contemporary linguistic issues, particularly examining English in German-speaking contexts, migration's impact on language variation, and digital methodologies in linguistic analysis. Professor Mair frequently collaborates with international scholars on projects investigating English in diverse sociolinguistic settings across the globe. Professor Mair has received significant academic recognition: Member of the Heidelberg Academy of Sciences Corresponding Member of the Austrian Academy of Sciences in Vienna He leads multiple research initiatives including the DFG project "West African Englishes on the Move" and research on "New Forms of English as a Lingua Franca (ELF) in Germany." His research team comprises several associates and assistants working on various aspects of English linguistics, with regular visiting scholars from international institutions. Professor Mair maintains active collaborations worldwide, hosting researchers such as Dr. Azizeh Chalak and Dr. Hossein Heidari Tabrizi from Iran. His work bridges theoretical linguistics with practical applications in understanding how English functions in increasingly globalized and multilingual contexts, with particular attention to non-colonial English language environments.

Jinqiu YangView profile

Associate Professor

• software reliability
• quality assurance of machine learning systems
• autonomous vehicles
• +5 more

Jinqiu Yang is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University in Montreal, Canada. Her research focuses on improving software reliability and quality assurance, particularly in the context of machine learning systems and autonomous vehicles. She leads active research projects in software testing, automated program repair, and mining software repositories, with strong connections to both academic and industrial applications. Her research interests span software reliability, quality assurance of machine learning systems including autonomous vehicles, software testing, automated program repair, text analytics of software artifacts, and mining software repositories. She has developed novel approaches for testing deep learning libraries, evaluating robustness in autonomous driving systems, and tracking the evolution of static code warnings. Her work bridges traditional software engineering with emerging challenges in AI systems, addressing critical issues of reliability and safety in complex software environments. Yang's recent publications (2021-2025) demonstrate a clear trajectory toward AI/ML system reliability, with increasing focus on autonomous vehicles, concept drift detection, and security aspects of large language models. Her work spans both theoretical foundations and practical applications, often involving empirical studies of real-world systems and development of practical tools to address identified challenges. ACM SIGSOFT Distinguished Paper Award Dr. Yang actively mentors graduate students and is currently recruiting Master's and PhD candidates. She has secured significant research funding including NSERC Discovery Grants (2019-2025), Gina Cody Research and Innovation Fellowship (2024-2026), and participation in the NSERC CREATE Program SE4AI (2021-2026). Her research is supported by multiple grants including NOVA – FRQNT-NSERC PROGRAM (2024-2027) and Volt-Age Seed Grant (2024-2026). She leads research in the O-RISA Lab at Concordia University, focusing on reliability and security aspects of intelligent software systems. Her team collaborates with industry partners including IBM, where she previously worked at IBM Watson Research Lab and IBM CAS, bringing practical experience to her academic research.

Ashwin RamView profile

Researcher

• Human-Computer Interaction
• Wearable Computing
• Augmented Reality
• +4 more

Ashwin Ram is a postdoctoral researcher at Saarland University's Human-Computer Interaction & Interactive Technologies Lab, under Prof. Jürgen Steimle. He holds a PhD in Computer Science from the National University of Singapore (NUS), advised by Prof. Shengdong Zhao, and a Bachelor's in Electronics Engineering from NIT Trichy. His research focuses on wearable augmented reality, smart glasses, and accessibility, leveraging cognitive and behavioral theories to design intelligent interfaces. Notable contributions include Mindful Moments (DIS '23, Honorable Mention), a mindfulness tool for smart glasses, and a quadruped robot guidance system for visually impaired individuals (CHI '24, Honorable Mention). He has served as an Associate Chair (AC) for UIST 2025 and CHI 2025. His work bridges HCI with wearable computing, exploring topics like video learning optimization (LSVP, IMWUT '21), sound source localization via neural networks (NCC '18), and accelerating Hawkes processes for event modeling (ICML '17 workshop). He collaborates internationally, including a research visit at UCL's Multi-Sensory Devices Group. Key achievements include 17 peer-reviewed publications (Google Scholar, ORCID: 0000-0003-1430-8770) and interdisciplinary projects like semantic floor map-based robot navigation. Beyond academia, he practices Carnatic music, plays guitar, and is fluent in Malayalam, Tamil, and English, with proficiency in French, German, and Hindi.

Ayush TewariView profile

Assistant Professor

• Computer Vision
• 3D Reconstruction
• Neural Rendering
• +3 more

Ayush Tewari is an Assistant Professor at the University of Cambridge. Previously, he was a postdoctoral researcher at MIT CSAIL under Bill Freeman, Josh Tenenbaum, and Vincent Sitzmann, and completed his Ph.D. at the Max Planck Institute for Informatics under Christian Theobalt. His research focuses on visual perception, developing methods to infer 3D structured representations from images and videos, aiming to bridge the gap between human perceptual capabilities and machine learning systems. Key research interests include neural rendering, inverse rendering, 3D reconstruction, and generative models. Notable contributions include advancements in Neural Radiance Fields (NeRF), diffusion models for inverse problems, and human-centric perception studies. His work has been published in top venues such as SIGGRAPH, CVPR, ICCV, and NeurIPS. Recent research trends emphasize ambiguity-aware inverse rendering, stochastic inverse problem solving using diffusion models, and integrating forward models for 3D scene inference. His work on Diffusion with Forward Models (NeurIPS 2023) proposes a novel framework for solving inverse problems without direct supervision. Awards: Best Paper Honorable Mention at BMVC 2022 (VoRF: Volumetric Relightable Faces). Labs/Projects: Core contributor to the DFM (Diffusion with Forward Models) project, advancing 3D scene understanding via probabilistic methods.

Benjamin SugerView profile

Researcher

• Robotics
• Autonomous Systems
• Traversability Analysis
• +6 more

Benjamin Suger is a researcher in the Department of Computer Science at the University of Freiburg, affiliated with the Autonomous Intelligent Systems group within the Faculty of Engineering. His work centers on robotics and intelligent systems, particularly in autonomous navigation and environment modeling. Diploma in Mathematics, University of Freiburg (2003–2011) PhD Student, Autonomous Intelligent Systems Group, University of Freiburg (2011–2017) His research interests include traversability analysis, SLAM, 3D modeling, and mobile robotics. He applies machine learning and computer vision techniques to enable robust robot navigation in complex and dynamic environments. His work often integrates sensor data from 3D lidar and visual systems to improve perception and localization. The recent publications highlight a strong focus on long-term autonomy, outdoor navigation, and memory-efficient SLAM algorithms. Key themes include handling perceptual changes, terrain adaptability, and integration of open geospatial data like OpenStreetMap. His work bridges theoretical algorithm development with real-world robotic applications. Scientific recognition includes being a finalist for the Best Conference Paper Award. This reflects the impact and quality of his contributions to the robotics community. Best Conference Paper Award Finalist Benjamin Suger has contributed significantly to research projects such as LifeNav and has served as a teaching assistant for the Introduction to Mobile Robotics course. While no direct advising of students is listed, his collaborative work with prominent researchers like Wolfram Burgard indicates active participation in a larger academic and research team. He has not received external grant mentions in the provided text. He is part of the Autonomous Intelligent Systems lab at the University of Freiburg, a leading group in robotics research, where he contributes to advancing the state of the art in autonomous navigation and environmental understanding for mobile robots.

Jan PfisterView profile

Researcher

• Natural Language Processing
• Deep Learning
• Sentiment Analysis
• +5 more

Jan Pfister is a researcher at the Chair of Data Science (Informatik X) , affiliated with the Faculty of Mathematics and Computer Science at the University of Würzburg . Holding an M.Sc. in Computer Science from 2021, he contributes to the DMIR group while maintaining the BibSonomy platform. His work bridges Natural Language Processing and Deep Learning , with a focus on structured sentiment analysis and German language modeling. His research explores the integration of Large Language Models with Pointer Networks to extract fine-grained sentiment information. He has developed ModernGBERT , a German-only encoder model, and LLäMmlein , advancing NLP capabilities for the language. Pfister's recent publications highlight trends in encoder-decoder architectures, model-agnostic hallucination detection, and multi-label classification frameworks that refine LLM outputs. He has taught courses including Information Retrieval (SS '22), Text Mining (WS '23), and Selected Topics in Machine Learning (SS'21, WS '21, WS'24). His collaborative projects span medical informatics, human-AI interaction, and social media analysis, often involving interdisciplinary teams and real-world data.

Tony Zirui YangView profile

Research Fellow

• Authoritarian Politics
• Political Communication
• Public Opinion
• +4 more

Tony Zirui Yang is a Postdoctoral Prize Research Fellow in Politics at Nuffield College, University of Oxford, and an Associate at the University of Oxford China Centre. Starting Fall 2025, he will join Emory University as an Assistant Professor of Political Science. His research focuses on authoritarian politics, political communication, public opinion, and political methodology, with regional expertise in China and Southeast Asia. He employs computational methods (text/audio-as-data), survey experiments, and qualitative fieldwork. His work appears in journals like the Journal of Politics , International Organization , and Comparative Political Studies . Education: PhD in Political Science (Washington University in St. Louis, 2024); LL.B. in Law (Renmin University of China, 2018). Research Interests: Explores censorship mechanisms, propaganda effectiveness, LGBTQ+ prejudice, and authoritarian governance. Notable projects include analyzing China's propaganda during the 2022 pandemic shift and participatory censorship dynamics. Methodologically, he combines multi-method approaches to study state-society interactions in autocracies. Teaching: At Emory, he will teach courses on Chinese politics and global affairs. Previously, he tutored at Nuffield College and guest lectured on authoritarian institutions and protest dynamics.

• Accessibility
• Human-Computer Interaction
• Assistive Technologies
• +5 more

Kyle Montague is an Associate Professor in the School of Computing at Newcastle University, specializing in Human-Computer Interaction with a strong emphasis on accessibility, inclusive design, and community-centered technology development. His research bridges theoretical frameworks with practical applications to create more equitable technology experiences for marginalized communities. Montague completed his PhD at the University of Dundee in 2013 with research on 'SUM: an exploration of Shared User Models and interface adaptations to improve accessibility of mobile touchscreen interactions.' His academic trajectory shows a clear evolution from foundational work on accessibility technologies to more recent explorations of feminist ethics in community-based design. His research interests span multiple critical areas in contemporary HCI: developing accessible mobile interfaces for blind and visually impaired users, creating tools for citizen-led personalization of user interfaces, exploring digital civics and community engagement through technology, and investigating ethical frameworks for community-led design. Montague's work consistently emphasizes participatory approaches, centering marginalized communities in the design process to create technologies that truly serve their needs. An analysis of his recent publications reveals an evolving research trajectory from technical accessibility solutions toward more socially conscious design frameworks. While early work focused on practical accessibility tools (like non-visual text entry methods), his recent research engages with feminist care ethics, digital citizenship, and community-led technology development. This evolution reflects a growing emphasis on ethical considerations and social justice in HCI research, with increasing attention to AI's role in community engagement and ethical design practices. Montague has established significant collaborations with researchers across institutions, particularly with Hugo Nicolau, Tiago João Vieira Guerreiro, and Reem Talhouk. His work appears consistently in top-tier venues including CHI, ASSETS, and CSCW, demonstrating recognition by the HCI community for both technical innovation and socially impactful research. His lab at Newcastle University focuses on developing practical tools for community engagement while advancing theoretical frameworks for ethical technology design. Current projects include AI-generated tools for academic conferences, frameworks for feminist community-led ethics, and platforms for citizen-led interface personalization, all reflecting his commitment to democratizing technology development and ensuring it serves diverse community needs.

Mahdi JampourView profile

Researcher

• Computer Vision
• Artificial Intelligence
• Digital Humanities
• +3 more

Dr. Mahdi Jampour is a Researcher at the Centre for the Study of Manuscript Cultures (CSMC), University of Hamburg, and a member of the Cluster of Excellence ‘Understanding Written Artefacts’ (UWA). He holds a Ph.D. in Computer Science (Artificial Intelligence) from Graz University of Technology (2016), with postdoctoral research at Iran Telecommunication Research Center (ITRC) (2016–2017). He previously served as Assistant Professor at Quchan University of Technology (2017–2024) and led Project RFA05 (2022–2025) focusing on visual pattern similarity in written artefacts. Education: Ph.D. in Computer Science (Artificial Intelligence), TU Graz, Austria (2016) Postdoctoral Fellowship, ITRC, Iran (2016–2017) Assistant Professor, Quchan University of Technology (2017–2024) Research Interests: Dr. Jampour specializes in applying AI and computer vision to cultural heritage preservation, including palimpsest analysis, historical document digitization, and pattern recognition. His work integrates generative models, deep learning, and semi-supervised methods to address challenges in manuscript analysis and multispectral imaging. Publications Trends: Recent work focuses on generative AI for palimpsest deciphering, dataset creation for sports and cultural heritage analysis, and facial expression recognition surveys. His articles bridge computer science with digital humanities, emphasizing cultural artifact preservation through technological innovation. Awards: Kazemi-Ashtiani Award (2019) Chamran Award (2017) KUWI Prize (2015) Marshal Plan Fellowship (2015) Best MSc Thesis Award (2009) Advising & Grants: Led UWA’s Project RFA05 (2022–2025) and contributed to international preservation initiatives like the Timbuktu Manuscript Training Project. His research is supported by grants from the Iran National Elites Foundation and the Iranian Ministry of Science. Labs & Collaborations: Active in CSMC’s labs, including the Written Artefact Profiling Guide and Mobile Lab Container projects. Collaborates with institutions globally on digitization and cultural heritage safeguarding.

Ralf SalomonView profile

Professor

• Embedded Systems
• Localization and Positioning
• Time Interval Measurement
• +12 more

Ralf Salomon is a Professor at the Faculty of Computer Science and Electrical Engineering , University of Rostock , Germany. He holds the title of Prof. Dr.-Ing. habil. and is actively involved in research and teaching in embedded systems, localization, and signal processing. University: University of Rostock School: Faculty of Computer Science and Electrical Engineering Position: Full Professor Contact: Room 201, Tel: +49 381 498 7260 His research focuses on high-precision time measurement , ambient assisted living , industrial embedded systems , and localization technologies . He applies bio-inspired principles, particularly from the barn owl auditory system, to develop low-cost, high-accuracy systems. His work spans health monitoring (e.g., fall detection, cochlear implants), sports technology, and animal experimentation systems. The recent publications (2020–2025) show a strong trend in sensor systems , embedded vision , and real-time measurement , with applications in sports, healthcare, and automation. His work combines theoretical innovation with practical implementation, often using FPGAs and microcontrollers. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: He advises students such as Theo Gabloffsky , who co-authors multiple publications and assists in teaching. He has led multiple funded projects including Welisa (DFG Graduate College) , iHeal , CurlDat , and BOUNCE . Many of his projects focus on health, localization, and embedded intelligence. Labs and Teams: He collaborates closely with researchers like Ralf Joost , Matthias Hinkfoth , Gerald Bieber , and Marian Lüder . His team develops FPGA-based systems, embedded sensors, and intelligent algorithms for real-world applications in health, industry, and sports.

Gunter SemmlerView profile

Researcher

• Complex Analysis
• Function Theory
• Nonlinear Riemann-Hilbert Problems
• +7 more

Dr. rer. nat. Gunter Semmler is a researcher at the Institute of Applied Analysis within the Faculty of Mathematics and Computer Science at Technische Universität Bergakademie Freiberg. He has been serving as a research assistant at the university since 1999, with an interlude at TU Munich from 2005 to 2008, and has continued his academic work at TU Bergakademie Freiberg since 2008. His role involves teaching courses such as Analysis 1, Analysis 3, Function Theory, and Ordinary Differential Equations, as listed in the OPAL course system. His research interests lie primarily in complex analysis, with a focus on nonlinear Riemann-Hilbert problems, interpolation theory, Blaschke products, conformal mapping, and phase visualization of complex functions. His work bridges theoretical mathematics with visual and educational applications, particularly evident in his widely recognized article on phase plots. He frequently collaborates with Prof. Elias Wegert, under whom he completed his PhD in 2001. The analysis of his publications reveals a consistent focus on the structure and behavior of complex functions, especially in boundary value problems and interpolation. His contributions span from foundational work on sine-type functions and complete interpolating sequences to innovative visual representations of meromorphic and entire functions. The keywords across his articles reflect deep engagement with Hardy spaces, Paley-Wiener theory, and the discrete Muckenhoupt condition, indicating advanced harmonic and complex analysis expertise. He has no listed scientific awards in the provided texts. However, his sustained publication record in reputable journals such as Computational Methods and Function Theory , Mathematische Nachrichten , and Notices of the American Mathematical Society underscores his scholarly impact. He is also a co-editor of the mathematical calendar Complex Beauties , highlighting his interest in mathematical aesthetics and outreach. There is no mention of students, grants, or labs in the provided information. His academic trajectory shows a dedicated research career with strong institutional affiliation and consistent contributions to complex function theory. He remains an active academic with no indication of part-time status, retirement, or emeritus position.

Jennifer D'SouzaView profile

Research Fellow

• Information Extraction
• Question Answering
• Natural Language Processing
• +3 more

Jennifer D'Souza is a Research Fellow in the Open Research Knowledge Graph (ORKG) project at the Data Science and Digital Libraries research group within the Technische Informationsbibliothek (TIB) . Her current work focuses on natural language machine learning, including knowledge graph construction, ontology alignment, and AI-assisted scientific discovery. Prior to TIB, she held postdoctoral positions at the University of California, Davis (focusing on software engineering and NLP applications) and completed her PhD at the University of Texas at Dallas, specializing in relation mining. She has also contributed to industrial software solutions in concept generation. Education : PhD in Computer Science, University of Texas at Dallas Postdoctoral Researcher, University of California, Davis Research Interests : Information Extraction and Question Answering Scientometrics and Knowledge Organization Natural Language Processing (NLP) for Ontology Learning Large Language Models (LLMs) in Scientific Workflows Awards & Grants : Not explicitly listed, but her contributions to projects like ORKG and participation in hackathons highlight collaborative achievements in AI-driven research. Labs/Teams : Active member of the Data Science and Digital Libraries group at TIB, contributing to projects such as ORKG and the Large Language Models for Ontology Learning Challenge .

Alexander SteenView profile

Assistant Professor

• Computational Logic
• Automated Reasoning
• Theoretical Computer Science
• +7 more

Alexander Steen is an Assistant Professor (Juniorprofessor) at the University of Greifswald within the Institute of Mathematics and Computer Science. His research focuses on computational logic, automated reasoning, and theoretical computer science, with significant contributions to higher-order logic (HOL) and non-classical reasoning systems. He leads the development of the Leo-III automated theorem prover, a versatile system supporting classical HOL with choice, polymorphic logics, and higher-order modal/deontic logics. Steen's academic journey includes a Dr. rer. nat. (summa cum laude) from Freie Universität Berlin (2018), followed by post-doctoral work at the University of Luxembourg (2018-2021) as a principal investigator for the AuReLeE project on legal reasoning automation. He holds a 2024 nomination for the University of Greifswald Teaching Award and was elected Fellow of the Academy of Sciences and Humanities in Hamburg (2022). Key Research Areas: Higher-Order Logic, Automated Reasoning, Non-Classical Logics, Legal Tech, Formal Methods in AI, Computational Ethics. Major Projects: Leo-III (DFG-funded automated prover), AuReLeE (FNR-funded legal reasoning), MET (modal logic embedding tool). His recent publications (2025-2022) explore diverse applications of HOL in non-classical reasoning, legal formalization, argumentation frameworks, and TPTP infrastructure extensions. Steen actively contributes to AI governance as co-speaker of the GI AI section and deputy member of Greifswald's Senate. He also engages in science communication through works like the 2024 science comic book Was wissen wir schon (What Do We Know?), featuring his automated reasoning research. Scientific Honors: CLAR 2023 Best Paper Award, IRIS 2020 LexisNexis Best Paper Award, CASC-27 LTB Division Winner, Woody Bledsoe Travel Awards (CADE 2018, 2016), GI Junior Fellowship (2018). Advising: Supervises ongoing PhD/MSc/BSc theses in logic-based AI, modal reasoning, and legal tech at University of Greifswald and Freie Universität Berlin.