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Frank AltemöllerView profile

Associate Professor

• International Trade Law
• Customs Law
• Geopolitics and International Trade
• +5 more

Frank Altemöller is an Associate Professor at the Institute of Customs and International Trade Law (ICTL) at the University of Münster , Germany. Previously, he served as a full-time Professor at Harz University of Applied Sciences from 2010 to 2021, where he also headed the "European Administrative Management" program. His educational background includes law studies at the University of Münster , followed by legal traineeships in Berlin and Geneva . He earned his Ph.D. in Law from the University of St. Gallen (HSG) in Switzerland, with interdisciplinary doctoral studies focusing on environmental protection and global trade. Altemöller's research focuses on future challenges in international trade and the liberal order , particularly examining geopolitical and geoeconomic challenges and their impacts on economy, administration, and society. His work emphasizes dialogue with leaders from public institutions and the private sector regarding repositioning and transformation opportunities. His recent publications demonstrate a consistent focus on World Trade Organization (WTO) issues , particularly the crisis of multilateralism , China-US trade relations , and the legitimacy of WTO dispute settlement mechanisms . His work spans multiple languages and jurisdictions, reflecting his international academic engagement. Altemöller has extensive international academic experience , including: Visiting professorships at the University of Bologna Shanghai Customs College University of Costa Rica University of Dar es Salaam Various universities in Southeast Asia He has collaborated with numerous organizations including: Organization for Security and Cooperation in Europe (OSCE) German Federal Ministry for Economic Cooperation and Development Hamburg Distance Learning University (HFH) His teaching experience includes positions at: Otto Suhr Institute for Political Science (Free University of Berlin) Institute for East European Studies (Free University of Berlin) EBS University of Business and Law Wiesbaden

• Librarianship
• Information Literacy
• Pedagogy
• +4 more

Tatiana Sanches serves as an Adjunct Assistant Professor at Universidade Aberta (Department of Education and Distance Learning) and the Polytechnic of Lisbon (Superior School of Dance), while holding research positions at the University of Lisbon's Institute of Education and ISPA's Applied Psychology Research Center. Her career spans academic librarianship, educational research, and information science, with leadership roles as Head Librarian at the University of Lisbon's Institute of Education since 2007. Her educational background includes a Post-Doc in Information Science from the University of Coimbra, a Ph.D. in Education from the University of Lisbon, a Master's in Education and Reading, and a degree in Modern Languages and Literature. Additional qualifications include post-graduate studies in Documentary Sciences and Higher Education Pedagogy. Dr. Sanches' research focuses on information literacy, academic librarianship, and digital education, with significant contributions to understanding post-pandemic library services, mobile information literacy, and combating disinformation through critical thinking frameworks. Her work bridges theoretical research with practical applications in academic settings across Portugal, Spain, Brazil, and Macau. Her recent publications demonstrate growing emphasis on artificial intelligence integration in information literacy, mobile technology impacts on learning, and humanization of academic library services. The research shows strong international collaboration patterns and practical applications for library professionals worldwide. Selo de Qualidade para o Ensino a Distância (2022, 2023) Best Oral Presentation Overall - European Association for Health Information and Libraries (2020) Prémio Melhor Poster EDICIC - Universitat de Barcelona (2019) Prémio Raúl Proença - Portuguese Association of Librarians (2013) Dr. Sanches has coordinated significant research projects including STORM (Reconfigurations of Teaching-Learning and Higher Education Organizations in Context of Change) and has contributed to developing the Portuguese Information Literacy Framework for Higher Education. Her work with the APPsyCI research center focuses on capability development across educational contexts. Current projects examine ChatGPT's impact on academic libraries and digital fluency in Portuguese higher education pedagogy.

• Human Activity Recognition
• Wireless Sensor Networks
• Internet of Things (IoT)
• +1 more

Emanuele Lattanzi is an Associate Professor in the Department of Pure and Applied Sciences (DiSPeA) at the University of Urbino Carlo Bo, specializing in Information Processing Systems (IINF-05/A). His research focuses on human activity recognition, wireless sensor networks, IoT systems, and artificial intelligence applications. He obtained his Laurea degree in 2001 and PhD in 2003, followed by a visiting scholar position at Pennsylvania State University's Department of Computer Science and Engineering. His educational background forms the foundation for his current research in sensor-based AI systems. Lattanzi's research interests center on developing energy-efficient solutions for human activity recognition using wearable sensors, with particular emphasis on optimizing machine learning models for resource-constrained IoT devices. His work bridges theoretical AI advancements with practical implementation challenges in real-world sensor deployments. Analysis of his 2025 publications reveals a strong thematic focus on human activity recognition, with recurring exploration of energy-accuracy tradeoffs, novel neural network architectures (including transformers and Siamese networks), and self-supervised learning techniques specifically adapted for inertial sensor data. His research demonstrates consistent collaboration with multiple co-authors across international conferences. As an educator, Lattanzi teaches core computer science courses including Operating Systems (12 credits) and IoT Programming (6 credits) across multiple Informatics degree programs. His teaching spans from 2021/2022 through the current 2025/2026 academic year, demonstrating sustained contribution to the department's curriculum in both foundational systems programming and emerging IoT technologies.

• Language Education
• Artificial Intelligence in Education
• Online Teaching
• +3 more

Benjamin Luke Moorhouse is an academic at Hong Kong Baptist University specializing in language education and the integration of technology in teaching. His research focuses on how artificial intelligence, particularly chatbots like ChatGPT, can be effectively used in language learning environments. Dr. Moorhouse's research interests span several interconnected areas: Artificial intelligence applications in language education Emergency remote teaching during the pandemic Teacher competencies for online language instruction Student motivation in technology-mediated learning environments Ethical considerations in AI-assisted language learning His recent publications show a strong focus on generative AI's role in language education, with particular attention to how teachers can effectively integrate these tools while maintaining educational quality and addressing ethical concerns. Moorhouse's work bridges theoretical frameworks with practical classroom applications, offering concrete strategies for language educators navigating the rapidly changing technological landscape. Among his notable contributions are studies examining teacher support systems for AI-based language learning and guidelines for implementing AI tools in academic assessment. Dr. Moorhouse is an active researcher who frequently collaborates with colleagues, particularly Lucas Kohnke, to produce impactful scholarship that addresses current challenges in language education.

Yifan ChenView profile

Assistant Professor

• Machine Learning
• Artificial Intelligence
• Non-parametric Models
• +6 more

Yifan Chen is an Assistant Professor in Computer Science and Mathematics at Hong Kong Baptist University (HKBU), specializing in efficient machine learning with focus on non-parametric models and neural networks involving intensive matrix operations such as Transformers and Graph Neural Networks (GNNs). Affiliation: Department of Computer Science and Mathematics, Hong Kong Baptist University Location: Hong Kong SAR, China Dr. Chen received his Ph.D. in Statistics from the University of Illinois Urbana-Champaign in 2023 under the supervision of Prof. Yun Yang, with additional collaborations with Prof. Ruoqing Zhu, Prof. Heng Ji, and Prof. Jingrui He. Prior to his doctoral studies, he earned his B.S. in Statistics from Fudan University in 2018, advised by Prof. Juan Shen and Prof. Chenghong Zhang. Dr. Chen's research broadly focuses on understanding the statistical structures of modern machine learning algorithms and applying these insights to real-world computational challenges. His work particularly emphasizes non-parametric models and neural networks with intensive matrix operations, including Transformers (language models) and graph neural networks. His research bridges theoretical statistical learning with practical computational efficiency, exploring how to make machine learning algorithms both theoretically sound and computationally feasible for large-scale applications. Analysis of Dr. Chen's publication record reveals a strong focus on computational efficiency in machine learning, with recurring themes in graph-based learning, kernel methods, and optimization techniques. His work demonstrates expertise in both theoretical foundations and practical implementations, with publications spanning top-tier conferences including NeurIPS, ICML, KDD, and AAAI. Many of his papers address fundamental challenges in scaling machine learning algorithms while maintaining statistical guarantees, reflecting his commitment to both theoretical rigor and practical applicability. Scientific awards and recognition include: Dissertation Completion Fellowship from University of Illinois Graduate College (2023) ICML 2023 Grant Award (2023) Shanghai Outstanding Graduate from Shanghai Municipal Education Commission (2018) NSFC Young Scientists Fund (2025) GDSTC General Program funding (2024) RGC Early Career Scheme grant (2024) Dr. Chen actively mentors PhD students and research assistants, currently supervising Yifan Xu and Yujia Yin as PhD students, and Yifan Wu as a visiting research assistant. His group has produced notable alumni including Mingchen Jiang (now PhD student at Institute of Science Tokyo), Jiahao Ma (now PhD student at HKU), Xichen Ye (now incoming PhD student at Fudan), and Guoming Li (now incoming PhD student at NUS). He teaches advanced topics in artificial intelligence and machine learning, as well as applied linear algebra for computing, emphasizing the connections between theoretical foundations and practical applications. Dr. Chen maintains active collaborations with researchers at institutions including University of Illinois Urbana-Champaign, Fudan University, Shanghai University, and industry partners like Amazon Alexa AI and IBM Research.

Maria Isabel Cuart SintesView profile

Associate Professor

• Educational Psychology
• Learning Difficulties
• Gerontology
• +3 more

Dr. Maria Isabel Cuart Sintes is an Associate Professor at the University of the Balearic Islands (UIB), affiliated with the Department of Applied Pedagogy and Education Psychology within the Faculty of Education. She holds a Doctorate in Education Sciences from UIB, complemented by a Master's in Musicotherapy (ISEP and Vic University) and specialized degrees in Psicopedagogy and Dementias/Alzheimer's disease. Currently, she serves as PTSC in the Educational and Psicopedagogical Guidance Team (EOEP) Palma II and contributes to teaching training programs for elementary school parents' schools and ESO. Her professional experience includes roles as Professor of CFGM Attention to Persons in Dependence Situation at the Institute of Distance Education in the Balearic Islands (IEDIB, 2020–21), Superior Technical in the Greater People's Area at IMAS (2006–2020), and Technical at the Tripartite Foundation for Training Continue in Employment (1997–2006). She has also conducted psychopedagogical interventions with children facing learning difficulties through the psychopedagogical cabinet SPAE (1998–2004). Teaching responsibilities include courses on Educational Psychology (Degree in Early Childhood Education) and Specific Learning Difficulties (Degree in Primary Education), with active roles in academic years 2020-25. She oversees multiple course groups across Spanish and Catalan language streams, emphasizing accessibility for mobility students.

• Computer Assisted Language Learning
• Educational Technology
• English for Specific Purposes
• +3 more

Senem Yıldız is an Associate Professor at Bogazici University's Faculty of Education, Department of TEFL. She holds a Ph.D. from Indiana University's Department of Language Education (2003) and a B.A. from Hacettepe University's Department of Translation and Interpretation (1997). Her research focuses on Computer Assisted Language Learning (CALL), mobile learning applications, English for Specific Purposes (ESP), and materials development. She has published extensively on topics like emergency remote education, digital tool efficacy in language learning environments, and teacher education strategies in technology-constrained settings. Education: Ph.D. in Language Education (Indiana U, 2003); B.A. in Translation (Hacettepe U, 1997) Research Highlights: Mobile language learning, CALL in limited-access environments, and EFL teacher training methodologies Yıldız has led research projects including 'Multimedia Storybooks in Preschool EFL' (2011-2015) and 'Digitalization of Middle School Content' (Erasmus+, 2021-present). She teaches courses like Computer Assisted Language Learning and Materials Evaluation at both undergraduate and graduate levels. Her work emphasizes innovative pedagogical solutions for under-resourced educational contexts. Publications reflect a focus on digital tools' role in second language acquisition, with notable contributions to Language Learning & Technology and Journal of Computer and Education Research . She has supervised M.A. theses on topics ranging from corpus-based vocabulary teaching to collaborative writing strategies in EFL.

• Accessibility
• Human-Computer Interaction
• Ethics in Computing
• +3 more

Catherine Beaton is an Associate Professor in the School of Information at the Golisano College of Computing and Information Sciences, Rochester Institute of Technology (RIT). She holds a BA, B.Ed., and MITE from Dalhousie University (Canada). Her research focuses on accessibility, human-computer interaction (HCI), and ethics in computing, with a particular emphasis on leveraging technology to support inclusive education for marginalized populations. Dr. Beaton’s work spans multiple domains, including the ethical use of AI in education, accessibility innovations for people with disabilities, and the impact of emerging technologies on learning outcomes. She leads projects like INSPIRE, which supports disabled faculty in academia, and has developed workshops for K-12 educators on integrating generative AI into teaching. Her teaching portfolio includes courses on ethics in computing, HCI fundamentals, and user experience design. Her publications address topics such as generative AI in higher education, ethical user interface design, and accessibility challenges in digital learning environments. Beaton is also passionate about bridging the gap between technological innovation and equitable access, advocating for policies that ensure technology serves all users, including those with disabilities. Current projects include investigating industry expectations of computing graduates and studying how multiple language learners utilize AI tools for academic and personal purposes. Her interdisciplinary approach combines HCI principles with ethical frameworks to drive inclusive technological solutions.

• Educational Technology
• Programming Education
• ICT in Education
• +5 more

Ana Babić is a Lecturer at the Department of Classroom Teaching within the Faculty of Educational Sciences at the University of Primorska. Her work focuses on integrating technology into education, particularly in programming education for primary and secondary schools, and exploring the adoption of emerging technologies like AI chatbots and educational robotics. She teaches Sciences Teaching Methodology II and has published extensively on topics including the MEMA programming method, digital competencies in education, and hybrid learning environments. Her research interests span educational technology adoption, teacher training for new technologies, and the design of curricula that incorporate computational thinking and robotics. Recent studies have examined Croatian teachers' attitudes toward tools like ChatGPT, humanoid robots, and version control systems in educational contexts. Her work often bridges theoretical frameworks (e.g., Technology Acceptance Model) with practical classroom applications. While no specific grants or awards are listed, her prolific output indicates active engagement in educational innovation.

Maja RončevićView profile

Lecturer

• English for Specific Purposes (ESP)
• Foreign Language Teaching
• Digital Language Learning
• +3 more

Maja Rončević is an academic at Singidunum University , affiliated with the Faculty of Business in Belgrade and the Anglistics Department . She actively contributes to research in language education and digital learning methodologies. Research Interests : English for Specific Purposes (ESP), foreign language teaching, AI-generated text applications in education, blended learning models, and translation reliability in digital environments. Academic Contributions : Her work focuses on integrating technology into language instruction, analyzing translation tools' reliability, and developing digital platforms like the DigidaZu portal for business German education. Publications span topics including vocabulary instruction and e-book utilization in language teaching. Collaborations : Regularly collaborates with researchers such as V. Fedorov, M. Pupavac, and J. Travica on interdisciplinary projects combining informatics and language education.

• Bilingualism and Multilingualism
• Family Language Policy and Child Language Development
• Language Attrition and Reactivation
• +6 more

Nikolay Slavkov is a Professor at the Official Languages and Bilingualism Institute (OLBI) within the Faculty of Arts at the University of Ottawa. With a Ph.D. in Linguistics from the University of Ottawa (2009), an M.A. from York University (2003), and a B.A. from the American University in Bulgaria (2000), he has taught in Canada, the United States, China, and Bulgaria, bringing a global perspective to his work in bilingualism and multilingualism. Ph.D., University of Ottawa, 2009 M.A., York University, Toronto, 2003 B.A., American University in Bulgaria, 2000 Dr. Slavkov's research spans multiple dimensions of bilingualism and multilingualism, examining linguistic, cognitive, social, and pedagogical perspectives. His work focuses on shifts between active and passive bilingualism in child language acquisition, language attrition and recovery, minority and heritage language acquisition and maintenance, and the acquisition of Long-Distance Wh-Movement in L2 English. Central to his research is the Linguistic Risk-Taking Initiative, which transforms the University of Ottawa's bilingual campus into an authentic environment for language learning, recognizing that language use involves risk-taking where learners may feel uncomfortable due to potential mistakes or misunderstandings. His recent publications reveal a strong focus on multilingual education, linguistic risk-taking, family language policy, and the changing concept of the native speaker in a globalized world. These works demonstrate his commitment to understanding how individuals navigate multiple languages in educational and social contexts, with particular attention to Canadian bilingualism and multilingualism. 2020-2026: SSHRC Insight Grant (Principal Investigator) 2017-2019: SSHRC Insight Development Grant (Principal Investigator) 2016-2021: SSHRC Insight Grant (Co-Investigator) 2017: Mitacs Globalink Research Internship Award As Principal Investigator of multiple SSHRC grants, Dr. Slavkov has secured significant funding for projects including the Linguistic Risk-Taking Initiative ($274,102 SSHRC Insight Grant), Re-imagining Language Background Profiling at Canadian Elementary Schools ($64,012 SSHRC Insight Development Grant), and The Discourse Skills of Monolingual and Bilingual School-aged Children ($365,096 SSHRC Insight Grant). His research team collaborations span multiple Canadian institutions, reflecting the interdisciplinary nature of his work in bilingualism and language acquisition. The Linguistic Risk-Taking Passport project specifically encourages language learners to use their second language across campus services, creating authentic learning opportunities beyond the classroom. Dr. Slavkov leads the Linguistic Risk-Taking Initiative at the University of Ottawa, which has developed a Linguistic Risk-Taking Passport to encourage students to practice their second language across campus services. He also collaborates on the Discourse Skills of Monolingual and Bilingual School-aged Children project, which establishes conversation, narration, and expository norms among children speaking English, French, Arabic, and Mandarin across five Canadian locations.

Yan ZhangView profile

Professor

• Information Systems
• Health Informatics
• User Perception in Information Retrieval
• +3 more

Yan Zhang is a Professor at the University of Texas at Austin's School of Information, specializing in information systems and consumer health informatics. His research focuses on user perceptions of web-based information retrieval systems and the design of consumer health information systems. He teaches courses such as Information Architecture and Design, Survey of Information Studies, and Consumer Health Informatics. His work spans cutting-edge topics in artificial intelligence, including vision-language models, 3D reconstruction, and large language model optimization. Recent research includes advancements in dataset distillation, diffusion models, and neural rendering techniques like Gaussian splatting. He actively explores applications in healthcare, such as AI-driven echocardiography interpretation and medical privacy in generative models. Publications highlight contributions to model efficiency (e.g., sparse transfer learning, rank-aware pruning) and multimodal systems (e.g., fusion of biometric data for person recognition). His work often addresses practical challenges in deploying AI systems across domains like autonomous driving, robotics, and clinical decision support. Zhang's research is supported by collaborations involving advanced visualization techniques, long-tailed disease classification, and multimodal SLAM systems. His courses reflect a commitment to bridging theory and practice in information science education.

Ahmed QureshiView profile

Assistant Professor

• Robotics
• Computer Vision
• Artificial Intelligence
• +6 more

Dr. Ahmed Qureshi is an Assistant Professor in the Department of Computer Science at Purdue University, leading the CoRAL Lab. He focuses on robotics and AI, particularly in robot planning, control, and human-robot collaboration. His research integrates motion planning, active perception, and machine learning to enable robots to operate safely in dynamic environments. He joined Purdue in Fall 2021. Education: Ph.D., University of California San Diego (2021), Robotics and Control M.S., Osaka University (2017), Robotics B.S., National University of Science and Technology (2014), Electrical Engineering Research Interests: His work spans robot motion planning, neural networks for physics-informed control, and multi-agent systems. Key areas include scalable motion planning algorithms, human-in-the-loop manipulation, and applications in healthcare and workforce optimization. Recent projects involve neural time fields (NTFields) and physics-informed learning. Teaching: Courses include Introduction to Robotics (CS45800), Robot Learning (CS55800), and advanced robotics topics. He emphasizes hands-on programming and theoretical foundations in perception, planning, and control. Labs/Teams: Directs the CoRAL Lab, which collaborates on industrial robotics challenges and autonomous systems. Current projects address multi-agent path planning, deformable object manipulation, and safe human-robot interaction.

Sarah Dryden-PetersonView profile

Associate Professor

• Refugee Education
• Conflict and Post-Conflict Education
• International Education Policy
• +5 more

Sarah Dryden-Peterson is an Associate Professor of Education at the Harvard Graduate School of Education (HGSE), with affiliations to the Civic and Moral Education Initiative. Her research focuses on the intersection of education and community development, particularly in conflict-affected regions of sub-Saharan Africa and among African Diaspora communities in North America. She investigates how local educational experiences interact with national and international policies, emphasizing the role of education in fostering peaceful, participatory societies. Her work integrates long-term collaborations with UN agencies, NGOs, and communities, ensuring practical relevance alongside scholarly rigor. She explores themes such as refugee education, policy implementation, and civic learning in post-conflict settings. Her recent studies address education technology in emergencies, refugee students' sense of belonging, and the political economy shaping refugee education systems. Dr. Dryden-Peterson’s research highlights the need for inclusive policies that bridge local and global perspectives. She advocates for pedagogies that empower displaced youth to envision futures aligned with both personal aspirations and societal needs. Her contributions extend to advising governments and international bodies on education strategies for refugees, emphasizing durable solutions and equitable access. Her publications span journals like the Journal on Education in Emergencies and include edited volumes on refugee education and conflict resolution. Despite her prolific output, she remains committed to translating academic insights into actionable policies and grassroots initiatives.

Aleks KissingerView profile

Associate Professor

• Quantum Computing
• Quantum Software
• Quantum Foundations
• +4 more

Aleks Kissinger is an Associate Professor of Quantum Computing at the University of Oxford's Department of Computer Science and joint head of the Quantum Group. His research focuses on quantum software, quantum foundations, and diagrammatic reasoning, leveraging tools like the ZX-calculus for circuit optimization and causal inference. He co-authored Picturing Quantum Processes , a foundational text in quantum theory using diagrams. Key roles include organizing conferences like QPL 2022 and developing open-source tools such as PyZX and Chyp. He has advised numerous students, including John van de Wetering and Sander Uijlen, whose theses span quantum compilation and categorical approaches to quantum computing. Research interests emphasize classical and quantum causal models, quantum compilation strategies, and graphical methods for error correction. He contributes to quantum education initiatives, making complex concepts accessible through diagrammatic techniques. Notable projects include the QISS and DeQS initiatives, focusing on quantum software and verification. His work bridges theoretical foundations with practical software development, aiming to advance scalable quantum computing technologies.