Find Academic Supervisors

Markus FischerView profile

Professor

• Biodiversity Conservation
• Plant Ecology
• Global Change Biology
• +7 more

Prof. Markus Fischer is a leading ecologist at the University of Bern's Institute of Plant Sciences, heading the Plant Ecology section. His research focuses on global change impacts, biodiversity dynamics, and ecosystem functions. He integrates evolutionary, ecological, and social-ecological sciences to address conservation and sustainable development challenges. Key research areas include plant population biology, biodiversity assessment, ecological synthesis, and policy-relevant conservation strategies. His work spans global scales, examining drivers of biodiversity loss, ecosystem services, and climate change effects. Publications emphasize translocation of rare plants, forest biodiversity-carbon trade-offs, drought impacts on grasslands, and multifunctional landscapes. He collaborates on initiatives like the IPBES and Jena Experiment, advocating for science-policy interfaces to enhance biodiversity awareness and governance. Notable contributions include the 'ReSurveyEurope' database and assessments of mountain biodiversity. His lab promotes integrative approaches to balance ecological, social, and economic needs in land management.

Ayla Rigouts TerrynView profile

Assistant Professor

• Automatic Terminology Extraction
• Machine Learning
• Language and Translation Technology
• +3 more

Ayla Rigouts Terryn is an Assistant Professor at KU Leuven, with a focus on language and translation technology. She previously served as a postdoctoral researcher at Ghent University's LT3 research group. Her research centers on computational terminology, particularly supervised machine learning approaches for monolingual and multilingual automatic term extraction. She developed the open-source ACTER dataset and organized the TermEval shared task, advancing methodologies in data-driven terminology research. Recent publications highlight her work on sequential labelling approaches (2022), hybrid term extraction frameworks (2019), and cross-lingual embeddings (2022). The ACTER dataset (2020) covers corruption, dressage, heart failure, and wind energy domains across English, French, and Dutch. FWO scholarship recipient for her EXTRACT project (2017) She co-lectures on Advanced Website Management at Ghent University, covering CMS development, web design principles, and team dynamics. Her tools, like D-Terminer, demonstrate practical applications of her research.

Nicholas RolleView profile

Assistant Professor

• Phonology
• Morphology-Syntax Interface
• Africanist Linguistics
• +3 more

Nicholas Rolle is an Assistant Professor in the Program in Linguistics at Princeton University, with a concurrent research position at the Leibniz-Zentrum Allgemeine Sprachwissenschaft (ZAS) in Berlin. He holds a PhD (2018) from UC Berkeley's Department of Linguistics. His research focuses on phonology, its interfaces with morphology and syntax, and Africanist linguistics, particularly in Niger-Congo languages. Key topics include grammatical tone interactions, prosodic constituency, and typological studies across African languages. Education: PhD in Linguistics (2018), UC Berkeley; prior research at ZAS Berlin. Research emphasizes fieldwork collaboration with communities in Nigeria and Sierra Leone, documenting languages like Limba, Esan, Degema, Izon, and Kalabari. His work integrates formal theory with empirical data, contributing to projects like the ALFA database analyzing African vowel systems. Recent publications explore tone-driven epenthesis in Wamey and Ghomala’, segment-tone interactions, and theoretical debates in morphology-phonology interfaces. Collaborations include editing Morphology's special issue on multiple exponence and co-authoring studies on subcategorization and allomorphy. His book project on grammatical tone under contract with Mouton de Gruyter synthesizes morpho-phonological interfaces. Key projects include the ALFA initiative mapping areal linguistic features in Africa, revealing correlations between ATR harmony and interior vowel systems. Fieldwork locations include Sierra Leone's mountainous regions and southern Nigeria, prioritizing community collaboration for language documentation.

Fraser BrownView profile

Adjunct Professor

• Systems
• Programming Languages
• Security
• +3 more

Fraser Brown is a Courtesy Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, affiliated with the College of Engineering. His research focuses on the intersection of systems, programming languages, and security, with particular emphasis on verified compilers, cryptographic applications, and finding vulnerabilities in real systems. He holds a position at the university's Pittsburgh campus located at 5000 Forbes Avenue. His research interests include compiler optimization verification, cryptographic protocol compilation, and secure execution environments. Notable projects involve verified components of browser JIT compilers and compilation infrastructure for cryptographic use cases. He has contributed to frameworks like WaVe (verifiably secure WebAssembly runtime) and Icarus (trustworthy JIT compilers). Recent publications (2021–2025) explore topics such as zero-knowledge proof compilers, secure MPC protocols, and microarchitectural vulnerability mitigation. His work frequently combines formal verification techniques with practical system implementations to enhance software and hardware security. Fraser has collaborated on grants like the SaTC-funded project on verified secure sandboxed systems. While no formal advisees are listed, his research contributions reflect collaborative efforts in academic and industrial contexts. His work is disseminated through venues like programming language and security workshops (e.g., PLAS 2023) and peer-reviewed journals/conferences.

Kimberly DavisView profile

Academic

• Digital Accessibility
• Software Engineering
• Technology Education
• +5 more

Kimberly Davis is an Instructor in the School of Engineering and Computing at Christopher Newport University (CNU). She holds a B.S. in Systems Engineering from the University of Virginia and an M.S. in Information Science from the University of North Carolina at Chapel Hill. With over 19 years of teaching experience, she instructs courses such as Database Management Systems, Multimedia and Web Publishing, and Introduction to Computing. Her research interests focus on digital accessibility for visually impaired users, API automation, low-code app development, and bridging technical skills with interdisciplinary requirements. Prof. Davis has extensive professional experience, including five years as a government consultant for Electronic Data Systems Corporation and over 20 years of independent consulting through her agency, SparkDawn Media. This firm provides graphic design, web development, photography, and videography services to diverse clients, including educational institutions, corporations, and non-profits. She has supported 29 athletic leagues, 74 restaurants, and 69 corporations. Her professional accomplishments include a 2023 presentation on the “Women in Science Panel” at Trible Library Theatre. Office hours are held online and in-person at Luter Hall, and she can be reached via her CNU email.

Annabel LathamView profile

Senior Lecturer

• Artificial Intelligence in Education
• Ethics and Trust of AI
• Computational Intelligence
• +8 more

Dr. Annabel Latham is a Senior Lecturer in Computer Science at Manchester Metropolitan University within the Faculty of Science and Engineering’s Computing and Mathematics department. She holds a PhD in Artificial Intelligence, an MSc in Computing, a Postgraduate Certificate in Academic Practice, a CIM Diploma in Marketing, and a BSc(Hons) in Computation. As a Fellow of the Higher Education Academy (FHEA) and Senior Member of IEEE (SMIEEE), she contributes extensively to AI research and education. PhD in Artificial Intelligence MSc in Computing PGC Academic Practice CIM Diploma in Marketing BSc(Hons) Computation FHEA (2015) SMIEEE (2018) Research Interests include Artificial Intelligence in Education , Ethics of AI , and Computational Intelligence . She specializes in conversational agents, intelligent tutoring systems, and public trust in AI. Her work addresses fairness, accountability, and accessibility in AI-driven education, leveraging technologies like large language models and fuzzy logic. Research Outputs span 15 years, with a focus on explainable AI, educational applications of conversational agents, and ethical frameworks. Recent work (2024-2025) explores postdigital citizen science, trustworthy AI implementation, and XAI usability for non-specialists. 2023 IEEE Region 8 Outstanding Women in Engineering Volunteer Award 2019 IEEE Region 8 Outstanding Women in Engineering Affinity Group of the Year 2018 Outstanding Peer Reviewer, Elsevier: Computers & Education Senior Member IEEE (2018) FHEA (2015) Teaching and Supervision includes undergraduate Databases, postgraduate units in Information Systems and AI Ethics. She supervises MSc and PhD students in areas like explainability-aware machine learning, data responsibility, and AI trustworthiness. Her grants involve collaborations with international funding bodies such as NAFOSTED (Vietnam) and Croatia’s National Council for Science. Labs and Groups include the Computational Intelligence Lab, Machine Intelligence research group, and the Data and AI Ethics research group, where she co-leads initiatives on ethical AI in education.

• Data Science
• Artificial Intelligence
• Machine Learning
• +7 more

Mohsen Farid is a Senior Lecturer in Data Science at the College of Science and Engineering. His research spans interdisciplinary areas including artificial intelligence, machine learning, neurotechnology, and healthcare analytics. He has contributed to advancements in genomics data management, video authentication, and neurotechnological solutions for mental health conditions like PTSD. His work frequently integrates computational methods with real-world applications in healthcare and cybersecurity. Key research outputs include studies on storage-optimized genomics systems (2024), neurotechnological interventions for PTSD (2023), and deep learning analyses of histopathology images (2021). His earlier contributions include gait recognition systems (2018) and semantic mapping of legal arguments (2015). Farid’s publications reflect a strong focus on applied data science and its societal impact, particularly in healthcare, security, and biomedical engineering. While no specific awards or grants are explicitly mentioned, his extensive publication record highlights sustained contributions to interdisciplinary data-driven research. His articles often address challenges in data management, pattern recognition, and ethical applications of AI.

Christiane RichterView profile

Researcher

• Remote Sensing
• Photogrammetry
• Geoinformatics
• +4 more

Christiane Richter is a Laboratory Engineer at the Faculty of Spatial Information, HTW Dresden, specializing in remote sensing, photogrammetry, and cultural heritage conservation. She leads the NascaGIS project, digitizing the UNESCO World Heritage Nasca Lines. Her work integrates GIS, astronomical analysis, and archaeological research to preserve ancient Peruvian geoglyphs. She co-authored over 50 publications and presented at international conferences like CIPA and ISPRS. Richter also serves as President of the 'Dr. Maria Reiche' association, promoting Nasca's cultural heritage. Her recent projects include documenting ancient aqueducts in Peru using UAVs and GPS. She holds an M.Sc. in Geoinformatics and has collaborated with institutions like TU Prague and UNESCO. Affiliations: HTW Dresden, TU Prague, UNESCO projects Education: M.Sc. Geoinformatics (University of Salzburg), Diploma in Surveying (HTW Dresden) Key Projects: NascaGIS, Nasca Aqueducts Survey, DAI Erbil Project Research Interests: Combining geospatial technologies with archaeology to solve mysteries of ancient landscapes. Recent focus on 3D modeling of geoglyphs and analyzing Nasca's irrigation systems.

Sanjay BapnaView profile

Professor

• Business Intelligence
• Data Mining
• Analytics
• +3 more

Dr. Sanjay Bapna is an Interim Associate Dean and Professor in the Graves School of Business at Morgan State University, leading the Department of Information Science & Systems. He holds a B.Tech. in Chemical Engineering from IIT Kanpur (1981), an MBA from the University of Iowa (1987), and a Ph.D. in Management Information Systems from the same institution (1992). His research focuses on Business Intelligence, Data Mining, Analytics, Computer Security, and Economic Modeling. He has secured grants from the Department of Transportation and pioneered work in freight industry economic analysis, cybersecurity deterrence, and insider threat modeling. Awards include the 2011 Best Paper Award and multiple recognition from National Decision Sciences Institute and International Association of Computer Information Systems. Recent publications span predictive modeling in healthcare, freight economics, and cybersecurity strategies. He has developed frameworks for CRM analytics, GIS-based crash analysis, and privacy-preserving data mining techniques. Prof. Bapna’s work emphasizes practical applications of technology in transportation safety, STEM diversity initiatives, and organizational trust dynamics. His contributions bridge academia and industry through impactful research in logistics, data systems, and policy-driven solutions.

Kinga LipskochView profile

Lecturer

• Computer Science
• Distributed Systems
• Data Management
• +4 more

Dr. Kinga Lipskoch is a Distinguished Lecturer of Computer Science at the School of Computer Science & Engineering, Constructor University Bremen. She holds a Ph.D. in Computer Science from Carl von Ossietzky University of Oldenburg (2008–2012), a Master's in Computer Science from Transilvania University of Brașov (2005–2006), and a Diploma in Mathematics and Computer Science from the same institution (2001–2005). Her professional experience includes postdoctoral research at Jacobs University Bremen and visiting lectureships at Hamburg University of Applied Sciences and Transilvania University of Brașov. Her research focuses on distributed systems, data management, probabilistic algorithms, and big data analytics in earth sciences. Key areas include probabilistic quorum systems for improving data consistency and operation availability, array analytics for geospatial data, and algorithm design for optimization problems. She has also contributed to software engineering projects, such as text parsing tools for bilingual dictionaries and desktop applications for institutional resource management. Her work bridges theoretical computer science with practical applications, addressing challenges in distributed computing, environmental data analysis, and educational software development.

Stefano OdoricoView profile

Lecturer

• Interactive Documentary
• Documentary Film
• Polyphonic Practices
• +5 more

Stefano Odorico is a Lecturer at the Limerick School of Art and Design , Department of Digital Arts and Media. His research focuses on interactive documentary practices, polyphonic narratives, and participatory storytelling methods. His work addresses themes such as urban spaces, ecomedia, and the intersection of digital technologies with ethical storytelling. Odorico’s academic contributions span over two decades, with a strong emphasis on the evolution of documentary forms. His research explores how interactive media can foster collaborative, audience-driven narratives that challenge traditional linear storytelling. Key areas include the aesthetics of interactive documentaries, the role of polyphony in creating multivocal narratives, and the ethical dimensions of participatory filmmaking. His recent work highlights trends towards immersive spatial storytelling (e.g., urban studies case studies), ecomedia’s potential in environmental communication, and the theoretical underpinnings of interactive epistemology. These studies often combine practice-based research with critical analysis, bridging academic inquiry and creative production. While no explicit grants or awards are listed, his prolific publication record reflects sustained engagement with international conferences and academic discourse. His work contributes to UN Sustainable Development Goals (SDGs) related to climate action, social justice, and cultural preservation through innovative documentary practices.

• Natural Language Processing
• Computational Linguistics
• Text Analysis Tools
• +3 more

Francisco Javier Carreras Riudavets is an Associate Professor at the Department of Computer Science and Systems, University of La Laguna. His research focuses on natural language processing, computational linguistics, and the development of specialized software tools for Spanish text analysis. He leads projects like the TIP toolkit, including Estilometría TIP and FreeConj-TIP, which address morphological analysis, syntactic disambiguation, and lexical processing. His work integrates XML-based dictionaries, syntactic tree analysis, and tools for parliamentary text retrieval (DiSeCan). He collaborates with interdisciplinary teams in digital humanities and education, contributing to projects such as Excerpta Search and SententiApp for Latin texts preservation. His teaching innovations include virtual programming labs and concept mapping in computer science education.

Kathryn AllanView profile

Researcher

• Zoonotic Diseases
• Epidemiology
• Leptospirosis
• +6 more

Dr. Kathryn Allan is a clinician and epidemiologist affiliated with the University of Glasgow under the School of Veterinary Medicine . She graduated as a veterinarian from the Royal (Dick) School of Veterinary Studies, Edinburgh (2008), and completed an intercalated BSc in Veterinary Pathology at the Royal Veterinary College (2005). Her career spans clinical practice in the UK, research in East Africa, and postdoctoral work on zoonotic diseases. Education : DVM, Royal (Dick) School of Veterinary Studies, Edinburgh (2008) BSc (Intercalated), Royal Veterinary College (2005) PhD, University of Glasgow (2016) Kathryn's research focuses on zoonotic diseases at the human-animal interface, particularly leptospirosis , Q fever , and Rift Valley fever in East Africa. Her work employs multidisciplinary approaches within a One Health framework to reduce disease burdens in marginalized communities. Recent projects include evaluating interventions for livestock abortions in Tanzania and sustainable control measures for cerebral coenurosis. Her publication trends emphasize epidemiological modeling , pathogen detection , and zoonotic risk analysis , with frequent collaborations across veterinary sciences , public health , and virology . She has secured grants from the Wellcome Trust , Hannah Dairy Research Foundation , and the Academy of Medical Sciences to investigate zoonotic diseases in Scotland and Tanzania. Current projects include marine mammal pathology with the Sea-Changers grant, analyzing Coxiella burnetii in dairy cattle, and operationalizing One Health interventions in Tanzania. She collaborates with institutions like the Royal Society of Tropical Medicine and Hygiene and contributes to conservation medicine via strandings data analysis.

• Natural Language Processing
• Sentiment Analysis
• Machine Learning
• +6 more

Nikolai Rusnachenko is a Post-Doctoral Research Fellow at Bournemouth University's CfACTs PLUS and NLP-MMI research groups, affiliated with the Talbot Campus. His work focuses on advancing natural language processing through interdisciplinary collaborations, particularly in targeted sentiment analysis, multi-document summarization, and biomedical search interfaces. His research spans multiple domains, including: Developing deep learning models for sentiment attitude extraction in Russian and Vietnamese Creating context sampling frameworks for relation extraction in large texts Enhancing dialogue systems with literary personality traits Designing biomedical search interfaces He has published extensively in venues like SemEval, IEEE WIC, and ACM conferences, working with collaborators across Russia, Vietnam, and the UK. Recent publications highlight his expertise in: Applying LongT5 for Vietnamese media summarization Implementing chain-of-thought reasoning in emotion detection Advancing attention-based models for legal document analysis Optimizing biomedical information retrieval

Sue BreakellView profile

Academic

• Critical Archive Studies
• Visual Arts Archives
• Art and Design History
• +3 more

Sue Breakell is a Principal Research Fellow and Archive Director at the University of Brighton Design Archives. She co-leads the Museums, Archives, Exhibitions strand within the Centre for Design History. Her work bridges critical archive studies and humanities disciplines, focusing on archival practices in visual arts contexts and their role in art and design history. PhD by Publication: Critical Archive Studies Expert in Visual Arts Archives Specializes in Materiality and Emigré Designer Archives Her research explores the archive as both a product and site of creative practice, emphasizing embodied practitioner knowledge. Recent projects include examining the practices of émigré designers and materiality in visual arts archives. She supervises Masters and Doctorate projects utilizing archival resources in art and design research. Co-led Design Archives’ expansion Published extensively on archival theory Active in editorial and peer review roles Breakell’s career spans major institutions like Tate Archive and Imperial War Museum. She brings practical experience to academic contexts, focusing on twentieth-century British art and design. Her work addresses evolving archival interfaces and stewardship challenges in contemporary culture.