Find Academic Supervisors

Stefan EsdersView profile

Professor

• Late Antique History
• Early Medieval History
• Legal History
• +10 more

Stefan Esders is Professor of Late Antique and Early Medieval History at Freie Universität Berlin's Friedrich Meinecke Institute, where he has held a full professorship since 2006. Previously, he served as University Lecturer in Ancient and Medieval History at the University of Bochum (2000-2006) and Assistant Professor of Medieval History there (1995-2000). His academic journey began with studies in History and Classics at Heidelberg, Freiburg, and Oxford, culminating in a state exam in 1990 and a doctoral dissertation in 1993 with summa cum laude. His educational background includes: 1982-1990: History and Classics (Latin) at Heidelberg, Freiburg, and Oxford 1990: State exam 1991-1993: Doctoral Fellow in Ancient History, University of Freiburg 1993: Dissertation 'Römische Rechtstradition und merowingisches Königtum' (summa cum laude) 1993-1994: Postdoctoral Fellow, Max-Planck-Institute for History, Göttingen 1994-1995: Postdoctoral Fellow, University of Münster 2004: Habilitation in Medieval History and Auxiliary Sciences, University of Bochum Esders' research focuses on the transformations of late Roman culture across Visigothic Spain, Lombard Italy, and Merovingian Gaul, with particular emphasis on legal history, Mediterranean communication (400-900 CE), and the history of oaths in antiquity and the Middle Ages. His work bridges institutional, social, and cultural history, examining how legal texts and practices shaped political legitimacy and social structures during the transition from antiquity to the early Middle Ages. He has made significant contributions to understanding the reception of Roman law in post-Roman kingdoms and the development of early medieval legal pluralism. His recent publications reveal a consistent focus on legal texts, oath practices, and political legitimacy across the early medieval Mediterranean world. Esders demonstrates how legal traditions were adapted and transformed as Roman imperial structures gave way to regional kingdoms, with particular attention to the interplay between ethnic identity, religious affiliation, and legal practice. His work increasingly employs comparative approaches, examining parallel developments across different regions of the former Roman Empire to reveal broader patterns of continuity and change. His scholarly recognition includes: Corresponding Member, Monumenta Germaniae Historica (2019-present) Fellow, Humanities Council and Program in Medieval Studies, Princeton University (2019) Member, Institute for Advanced Study, Princeton (2013) Ordentliches Mitglied der Academia Europaea (since 2021) Distinguished Fellow of the Hebrew University of Jerusalem (2025/26) Corresponding Fellow of the Medieval Academy of America (since 2025) As an active scholar, Esders serves on editorial boards including Speculum. A Journal of Medieval Studies and has edited numerous volumes on early medieval legal history. He has been instrumental in collaborative research projects examining Mediterranean connectivity in the early Middle Ages and has supervised numerous doctoral students. Currently, he serves as speaker of the doctoral program 'Ancient Histories, Languages and Texts' within the Berlin Graduate School of Ancient Studies. His work is characterized by meticulous textual analysis combined with broader theoretical frameworks examining political legitimacy, legal pluralism, and the transformation of social structures during the crucial period between the 5th and 10th centuries CE. Esders maintains active international collaborations, particularly with scholars in Mediterranean countries, reflecting his focus on cross-regional connections during the early medieval period.

• Edge Computing
• Fog Computing
• Cloud Computing
• +4 more

Dragi Kimovski is a Habilitated Assistant Professor in Distributed Systems at Klagenfurt University, Austria, focusing on Edge Computing and AI. He previously held roles at the University of Innsbruck and the University of Information Science and Technology in Macedonia. His research spans Edge/Fog/Cloud computing, multi-objective optimization, and high-performance computing. He has coordinated major projects like 6GContinuum and KärtnerFog, and led initiatives such as DataCloud and ASPIDE. His teaching includes courses on Distributed Computing, Cloud Computing, and IoT. He is the co-creator of the Carinthian Computing Continuum and maintains a blog on Edge AI World. His work emphasizes sustainable and efficient computing solutions for emerging technologies. Education: Not explicitly listed in the provided text. Research Interests: Edge Computing, Fog Computing, Cloud Computing, Multi-objective Optimization, High-Performance Computing, AI in Distributed Systems. His work addresses challenges in resource management, latency reduction, and scalability across heterogeneous environments, with applications in healthcare, IoT, and 6G networks. Projects: 6GContinuum (Coordinator): Focuses on AI services over 6G networks. KärtnerFog (Scientific Coordinator): Develops adaptive Fog infrastructures over 5G. DataCloud (WP5 Leader): Manages Big Data pipelines on the Computing Continuum. ASPIDE (Scientific Coordinator): Advances exascale programming models for data processing. Teaching: Klagenfurt University: Courses include Distributed Computing, IoT, Cloud Computing, and Advanced Programming. University of Innsbruck: Taught Advanced Parallel and Distributed Systems. University of Information Science and Technology: Courses in High-Performance Computing and Network Architectures. Labs/Teams: Co-created the Carinthian Computing Continuum, an automated SDN testbed for Edge computing research. Active in interdisciplinary teams addressing extreme data processing and sustainable computing.

Chao Dong ZHUView profile

Professor

• Ecology
• Biodiversity Conservation
• Community Ecology
• +3 more

Prof. Chao Dong ZHU is a leading researcher in ecology and biodiversity conservation, affiliated with the Chinese Academy of Sciences. He serves as Principal Investigator for multiple projects including MultiTroph (2022-2026), analyzing biodiversity mechanisms across trophic levels. His work focuses on plant-insect interactions, phylogenetic signals in ecological communities, and the impacts of tree diversity on herbivore-parasitoid networks. Key projects include SP09c1 Phylogenetic signals in plant-insect interactions and P4C: Associational effects mediated by parasitoids , examining how tree diversity influences herbivore communities and parasitoid dynamics. He has contributed to large-scale biodiversity experiments in subtropical forests, such as BEF-China, investigating species coexistence and turnover patterns. Education: Not explicitly stated in provided texts Research Themes: Trophic interactions, biodiversity gradients, DNA barcoding applications, spatial ecology Publications emphasize data-driven analyses of herbivore community structure, leveraging phylogenetic and functional trait approaches. His work bridges observational ecology with experimental design, contributing to understanding ecosystem resilience under biodiversity loss scenarios.

Sean C. RifeView profile

Professor

• Moral and Political Psychology
• Metascience
• Sociology of Science
• +5 more

Sean C. Rife is Professor of Psychology at Murray State University, co-founder of scite.ai, and Head of Academic Relations at Research Solutions, Inc. His work focuses on moral/political psychology, metascience, and AI's role in research evaluation. PhD in Psychology (Kent State University, 2014) MA in Sociology (East Tennessee State University, 2009) MA in Experimental Psychology (East Tennessee State University, 2008) BS in Psychology (North Georgia College and State University, 2005) His research explores ideology-personality connections, social media's influence on moral expression, and AI-driven tools to quantify scientific progress. He advocates for open science practices and has led large-scale replication efforts across multiple countries. Key projects include scite (AI-enhanced citation analysis), statcheck implementation, and TAPAS text similarity analysis. He has developed tools like psyLex and liwcR for linguistic analysis and research evaluation. Recent publications focus on terror-management theory validation, political orientation's impact on pandemic perception, and AI applications for citation classification. His work intersects psychology, data science, and academic technology development. Contact: Office: 209 Wells Hall, Murray State University Email: srife1@murraystate.edu, srife@researchsolutions.com Phone: 270-809-4404

• Political Economy
• Economic Growth
• Innovation Economics
• +3 more

Rainer Andergassen is an Associate Professor in the Department of Economic Sciences at the University of Bologna. His research focuses on political economy, economic growth, innovation dynamics, and tourism economics. He holds a formal affiliation with the University of Bologna's Department of Economic Sciences and maintains an ORCID profile. His work bridges theoretical economic modeling with applied policy analysis, particularly in areas of innovation diffusion, structural change, and tourism destination management. Education details are not explicitly provided in the text, but his academic trajectory aligns with typical senior faculty roles. Research interests include intergenerational mobility, technological convergence, and public policy design for tourism sectors. His recent publications (2012-2021) explore topics like innovation networks, disaster mitigation economics, and fraudulent behavior in competitive markets. Dr. Andergassen's academic contributions span 20+ years with articles addressing: (1) innovation's role in economic growth through structural transformation, (2) strategic tourism destination management frameworks, and (3) behavioral economic factors influencing managerial fraud. His work frequently integrates mathematical modeling with real-world policy implications. No formal awards or grants are listed, though his extensive publication record indicates sustained research activity. He is available for consultations at his office (Piazza Scaravilli 2, Bologna) on Wednesdays at 11:30am.

Stanka FitnevaView profile

Associate Professor

• Developmental Psychology
• Language Acquisition
• Social Cognition
• +3 more

Stanka Fitneva is an Associate Professor and Chair of the Developmental Psychology Program at Queen's University's Department of Psychology. She holds a B.A. from Smith College (1996) and a Ph.D. from Cornell University (2003). Her research focuses on language acquisition, social cognition, and the development of children's understanding of knowledge sources, including evidentiality, cultural influences, and memory. She explores questions like how children gather information, assess reliability of sources, and represent the social world. Her work integrates experimental methods to study topics such as cross-situational word learning, the role of context in communication, and the cognitive mechanisms underlying social information processing. Notable research includes investigations into children’s beliefs about knowledge distribution across cultures (e.g., Japanese vs. Canadian children) and the impact of epistemic framing on communication strategies. Recent articles highlight themes such as error correction mechanisms in word learning, psychosocial factors in neurodevelopmental disabilities, and the interplay between epistemic emotions and decision-making. Her findings contribute to theoretical frameworks in developmental psychology and cognitive science, emphasizing the social and linguistic foundations of cognitive development. No scientific awards are explicitly mentioned in the provided text. Her advising and grants activities are not detailed, though her lab site and CV suggest active research collaborations. She maintains a lab focused on developmental psychology, exploring topics like evidentiality and social cognition through experimental paradigms.

Bronwen PowellView profile

Assistant Professor

• Food Security
• Agroecology
• Forests and Nutrition
• +3 more

Bronwen Powell is an Assistant Professor of Geography, African Studies, and Anthropology at Pennsylvania State University, located in the College of Earth and Mineral Sciences. Her work focuses on the intersection of food systems, environmental sustainability, and cultural practices, particularly in Africa and Mediterranean regions. She explores how forests, wild foods, and traditional knowledge contribute to dietary diversity and food security in the context of climate change and agrarian transformation. Her research emphasizes interdisciplinary approaches to understand how landscapes shape nutrition outcomes. Key themes include agroecology, the role of biodiversity in food production, and the impacts of deforestation on rural communities. Powell’s studies often integrate ecological data with socioeconomic analyses, highlighting the importance of integrating wild food resources into climate adaptation strategies. Her recent work examines dietary transitions in tropical regions, the governance of forested landscapes, and the transmission of traditional ecological knowledge. Powell has contributed to international initiatives like the Forests, Trees, and Agroforestry (FTA) program, analyzing decade-long impacts on food security and nutrition policies. While specific grants or advising details are not highlighted in the provided texts, her publications consistently address policy-relevant solutions for sustainable food systems. Powell’s research frequently involves collaborative projects with international organizations and local communities, reflecting her commitment to applied anthropological and geographical methodologies.

• African Linguistics
• Language Documentation
• Phonetics
• +6 more

Prof. Roland Kießling is a Professor of African Studies at the University of Hamburg's Faculty of Humanities, affiliated with the Asia-Africa Institute's Department of African and Ethiopian Studies. He has held visiting professorships at the Universities of Bayreuth and Cologne, and served as a DFG Heisenberg Fellow (2001–2006). His research focuses on African languages, particularly Southern Cushitic, Nilotic, Niger-Congo, and Khoisan languages, emphasizing documentation, phonetics, morphosemantics, and language change. Academic Career: Studied at University of Hamburg (African Studies, Phonetics), M.A. 1988, Ph.D. 1993, Habilitation 2000 1990–1993: Research Associate in the DFG 'Iraqw Texts' project 1993–1999: Research Assistant at Hamburg's Institute for African and Ethiopian Studies Recipient of the Kurt-Hartwig-Siemers Prize (1995) Since 2006: Full Professor at University of Hamburg Research Interests: Documentation of endangered African languages, phonetic transcription, morphosemantics, language contact, and historical linguistics. Specializes in Cushitic (Southern), Nilotic (Southern), Niger-Congo (South Bantoid), and Khoisan languages including !Xoon. Key Projects (selection): Cluster of Excellence 'Understanding Written Artefacts' (2019–2025) DFG SFB 950 'Manuscript Cultures' (2011–2020), leading subproject C07 on Arabo-Swahili manuscripts DoBeS-funded documentation projects for Bezen (2011–2015) and Datooga motion lexico-grammar (2018–2022) Publications: Over 59 publications including monographs on Isu (West Ring Bantu), edited volumes on African linguistics, and articles in Journal of African Languages and Linguistics , Afrika und Übersee , and others. Recent work explores numeral classifiers, hybrid youth discourse, and tonogenesis. Awards: Kurt-Hartwig-Siemers Prize (1995), Heisenberg Fellowship (2001–2006), and contributions to major linguistic reference works like The Oxford Handbook of African Languages .

• Digital Humanities
• Text Mining
• Artificial Intelligence in Education
• +3 more

Dr. Ahmed Taiye Mohammed holds a Postdoctoral research fellowship at Linnaeus University's Department of Cultural Sciences, Faculty of Arts and Humanities in Växjö, Sweden. He earned his Master's and PhD from Northern University of Malaysia (UUM) with a thesis on text anomaly detection. His research focuses on Digital Humanities (DH), AI applications in education, and computational thinking for non-engineers. He teaches courses like Digital Humanities Research Methods, Programming for DH, and AI in Healthcare. Key research projects include InKuiS (innovative cultural entrepreneurship) and AI for ISP (supporting academic writing via ChatGPT). He collaborates with Linnaeus University Centre for Data Intensive Sciences (DISA) on e-health initiatives. Recent publications explore AI in K-12 education, automated library classification, and text mining for archaeology. His work spans AI ethics, DH methodologies, and interdisciplinary applications of computational tools. Teaching responsibilities include over 10 courses at undergraduate/master's levels, emphasizing practical skills in DH technologies. Active in developing AI-based educational tools like CHAT4ISP-AI and exploring generative AI for academic writing support. Research also involves social media ecosystems, data mining practices, and satellite image classification using SVM techniques.

• Thoracic Imaging
• Radiology
• Pulmonary Diseases
• +3 more

Leah Traube is an Assistant Professor of Radiology and Biomedical Imaging at Yale School of Medicine. She is affiliated with the departments of Cardiothoracic Imaging and Clinical Radiology. Her research focuses on thoracic imaging, pulmonary diseases, and cardiovascular imaging, with a strong emphasis on CT scan analysis, lung lesions, and immune therapy complications. Her recent publications highlight studies on ophthalmic-thoracic disorders, ICU imaging protocols, and trends in ground-glass nodules. She collaborates frequently with clinicians like Anna Shlionsky Bader and Babina Gosangi. No scientific awards or grants are explicitly listed in the provided texts. No formal advisees or lab affiliations are mentioned. Her work bridges clinical radiology with emerging diagnostic techniques in thoracic and cardiovascular fields.

• Neuroscience
• Psychiatry
• Neuropharmacology
• +3 more

Jocelyne Rondeau is a Researcher in the Department of Psychiatry at Yale School of Medicine, Yale University. Her work focuses on neuropharmacology, mental health treatment, and clinical trials, with particular expertise in neurotransmitter dynamics and psychedelic drug mechanisms. She has contributed to studies analyzing c-Fos expression in brain imaging, norepinephrine's role in threat prediction, and the therapeutic potential of ketamine for Borderline Personality Disorder. Her research integrates neuroimaging techniques, computational models, and behavioral experiments to understand neural mechanisms underlying psychiatric conditions. Notable projects include classification systems for psychedelic drugs and pilot trials evaluating novel therapeutic approaches. No academic awards are explicitly mentioned in the provided texts. Her current role does not involve direct student advisement, though her research collaborations may involve postgraduate trainees. She is affiliated with Yale's Psychiatry department and contributes to interdisciplinary studies at the School of Medicine.

Javier OsorioView profile

Assistant Professor

• Political and Criminal Violence
• Comparative Politics
• Natural Language Processing
• +3 more

Javier Osorio is an Assistant Professor at the University of Arizona's School of Government and Public Policy. His research focuses on the micro-foundations and dynamics of political and criminal violence in Latin America, employing quantitative methods such as natural language processing, GIS, and big data analytics. He has received awards from the UNODC and MPSA, and his work appears in leading journals like the Journal of Peace Research . Dr. Osorio holds a Ph.D. in Political Science from the University of Notre Dame (2013) and previously taught at John Jay College of Criminal Justice. He leads the Academy for Security Analysis, funded by USAID, and collaborates with the NSF and DoD’s Minerva Initiative. His research projects include supervised event coding for conflict analysis and randomized controlled trials in Central America. His key contributions span conflict language models (e.g., ConfliBERT), criminal violence classification, and multilingual event coding frameworks. He has advised interventions in El Salvador and Nicaragua, emphasizing data-driven approaches to security challenges.

• Group Theory
• Algebra
• Coding Theory
• +3 more

Mima Stanojkovski is an Assistant Professor at the Department of Mathematics, University of Trento. Her research focuses on group theory, algebra, and their applications in coding theory and cryptography. She teaches courses such as Algebra B, Statistics for Data Science, and Teoria dei Gruppi, emphasizing foundational concepts in abstract algebra and their practical implications. Teaching Responsibilities: Algebra B (Department of Mathematics) Statistics for Data Science (Department of Sociology and Social Research) Teoria dei Gruppi (Department of Mathematics) Research Interests: Mima's work centers on geometric and combinatorial aspects of finite groups, modular group algebras, and cryptographic applications of algebraic structures. She explores topics such as independence complexes, rank-metric codes, and pro-p group constructions. Her recent publications address conjectures in coding theory and security analyses of homomorphic encryption schemes. Grants & Collaborations: No grants or collaborative projects explicitly listed in the provided text. Labs/Teams: No specific lab affiliations or research teams mentioned.

Zhaozheng ChenView profile

Researcher

• Computer Vision
• Machine Learning
• Deep Learning
• +3 more

Zhaozheng Chen is a Research Scientist at Singapore Management University (SMU), affiliated with the School of Computing and Information Systems (SCIS) and the Department of Computer Science. He holds a Ph.D. in Computer Science from SMU (2020–2023) and a B.Sc. in Computer Science and Technology from Shandong University (2015–2019). His research focuses on computer vision and machine learning, with particular emphasis on weakly-supervised learning, semantic segmentation, and deep learning applications in multi-task frameworks. **Education**: Ph.D. in Computer Science, Singapore Management University (Jan 2020 – Dec 2023; Advisor: Prof. Qianru Sun) B.Sc. in Computer Science and Technology, Shandong University (Sep 2015 – Jun 2019; Advisor: Prof. Liqiang Nie) **Research Interests**: Zhaozheng’s work spans computer vision, machine learning, and deep learning, with recent contributions to weakly-supervised semantic segmentation, class activation maps, and multi-task learning for urban perception. He also explores applications in virtual try-on systems and text classification. **Awards**: He has been awarded the SMU Presidential Doctoral Fellowship (2022/2023 and 2023/2024), the SCIS Dean’s List (2023), and national scholarships for academic excellence. Notably, he secured a Bronze Medal in the ACM-ICPC Asia Regional Contest and a Meritorious Winner title in the Mathematical Contest in Modeling. **Teaching & Work Experience**: He served as a Teaching Assistant for CS 701 (Deep Learning and Vision) at SMU (2021–2022). Prior to his Ph.D., he interned at YouTu Lab, Tencent (Oct 2018 – Jan 2019), working under Dr. Xiaoyong Shen. Currently, he advises under Prof. Qianru Sun’s research group and contributes to open-source projects like ReCAM and LPCAM on GitHub. **Professional Services**: He actively reviews for top conferences including BMVC, ICCV, ECCV, IJCAI, CVPR, and journals such as IJCV, IEEE TPAMI, and ACM TOMM.

Fred PopowichView profile

Professor

• Natural Language Processing
• Artificial Intelligence
• Big Data
• +4 more

Fred Popowich is a Professor in the School of Computing Science at Simon Fraser University (SFU), Canada. He holds adjunct positions at Dalhousie University's Faculty of Graduate Studies and is an Associate Member of SFU's Department of Linguistics and Cognitive Science Program. His academic career began post-PhD (Cognitive Science/Artificial Intelligence, University of Edinburgh, 1989) and has spanned over three decades at SFU. Education: PhD in Cognitive Science/Artificial Intelligence (University of Edinburgh, 1989); M.Sc. and B.Sc. in Computing Science (Simon Fraser University and University of Alberta, 1985/1982). Research focuses on natural language processing (NLP), machine translation, intelligent systems, and big data applications. He directs SFU’s Big Data Initiative and leads the Natural Language Laboratory, supervising MSc/PhD students in computing science. His work includes developing systems for smart homes, toxic language detection in social media, and energy grid analysis. Industry roles include co-founding Axonwave Software (as CTO/President) and contributing to technology commercialization. Current projects address EV charging impacts, personalized learning systems, and real-time load monitoring. Publications span machine translation, sentiment analysis, and NLP applications in education and energy systems. His work bridges theoretical computer science with practical applications in healthcare, smart cities, and education.