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Martin BastkowskiView profile

Lecturer

• English Language Teaching Methodology
• Teacher Training
• Active Learning
• +5 more

Martin Bastkowski, M. Ed., OStR, serves as a Lecturer in English Language Education at the Faculty of Humanities and Cultural Studies at Otto-Friedrich University of Bamberg and at the University of Hildesheim. He maintains a dual career as both an academic lecturer and a practicing school teacher at KGS Ernst-Reuter-Schule in Pattensen, where he holds the positions of Teacher and Head of Foreign Languages Department as well as Deputy Head of Secondary School I. His research and teaching interests focus on practical English language teaching methodology, with emphasis on active learning approaches, methodological diversity, communicative media use, performance assessment, and optimizing teaching and learning processes. His work bridges theoretical frameworks with classroom practice, providing valuable insights for both pre-service and in-service teachers. Bastkowski's recent publications reveal a growing engagement with digital education tools, AI applications in language teaching, collaborative learning approaches, and innovative assessment methods. His work consistently addresses practical classroom challenges while incorporating contemporary educational technologies and pedagogical approaches. Co-editor of the specialist journal 'Englisch 5-10' Co-author of the 'Lighthouse' textbook series (General and Advanced Editions) Regular contributor to professional development for English teachers Consultant for ministry commissions on English language education As an educator who maintains active classroom experience while contributing to academic discourse, Bastkowski offers valuable perspective on the practical implementation of teaching methodologies. His consultation hours at the university demonstrate his commitment to supporting teacher trainees in bridging theory and practice.

Sarah Morrison-SmithView profile

Assistant Professor

• Human-Computer Interaction
• Collaborative Work
• Accessibility in Technology
• +6 more

Sarah Morrison-Smith is an Assistant Professor of Computer Science at Hamilton College. Her research explores the intersection of psychology and computer science to enhance collaborative work environments and advance accessible technological design. She teaches courses in human-computer interaction and programming languages. Ph.D., University of Florida (Human-Centered Computing) M.S., Colorado State University (Computer Science) B.S., Montana State University (Computer Science) Morrison-Smith's research focuses on human-computer interaction , collaborative tools , and accessibility . She investigates natural user interfaces for mobile devices and wearables, develops ambient displays for team awareness, and studies bioinformatics software challenges. Her recent publications analyze data-sharing transparency , gesture interaction , and collaborative workflows across 15 studies from 2015-2025. Key themes include multimodal authentication, qualitative data analysis tools, and accessibility in scientific research. NSF CRII: RUI: Transparency and Access Control in Life Science Data Sharing (2022) Google Explore CS Research (exploreCSR) Morrison-Smith employs interdisciplinary methodologies combining user studies , dataset creation , and interface prototyping . Her work spans bioinformatics, plant phenotyping, and multimodal authentication systems.

Yue ChenView profile

Professor

• Wireless Networks
• Cognitive and Cooperative Networking
• HetNet (Heterogeneous Networks)
• +3 more

Professor Yue Chen is a distinguished academic at the School of Electronic Engineering and Computer Science , Queen Mary University of London , holding the title of Professor of Telecommunications Engineering and serving as Director of Education . With expertise in wireless networking and smart energy systems, his research bridges theoretical innovation with practical applications in telecommunications infrastructure. BEng, MEng, PhD Member of Institution of Engineering and Technology (MIET) Senior Member of IEEE (SMIEEE) His research interests focus on Intelligent Radio Resource Management for wireless networks, cognitive and cooperative networking, heterogeneous networks (HetNet), smart energy systems, and Internet of Things (IoT) integration. His work emphasizes machine learning-driven optimization for next-generation communication systems and energy-efficient networks. Recent publications highlight trends in reinforcement learning for UAV-NOMA networks , energy-efficient IoT systems , and data-driven educational methodologies . These demonstrate cross-disciplinary innovation, merging telecommunications research with pedagogical experimentation and smart grid optimization.

Helen WolfendenView profile

Lecturer

• Radio
• Radio And Sound Studies
• Radio studies
• +2 more

Helen Wolfenden is a lecturer in radio at Macquarie University’s School of Media, Music, Communication and Cultural Studies (MMCCS). With a professional background in radio broadcasting at the Australian Broadcasting Corporation (ABC) and British Broadcasting Corporation (BBC), she bridges academic research with industry practice. Her work focuses on the epistemological challenges of translating practical media knowledge into academic frameworks. Research Interests: Radio identity, para-social audience relationships, podcasting, theory-practice integration in media studies. Publications: Explores television scheduling, radio authenticity, and podcast-based academic translation. Notable works include Making Practice Publishable (2019) and A Face for Radio (2014). Conferences: Presented at ECREA and transnational radio conferences on topics like podcasting, producer roles, and audience engagement. PhD Thesis: Analyzed how ABC radio presenters construct authentic on-air identities, revealing the dynamic interplay between imagined and actual audiences.

• Human-Computer Interaction
• Communication Studies
• Artificial Intelligence
• +3 more

Dr. Charlotte van Hooijdonk is an Assistant Professor at Utrecht University's Faculty of Humanities, specializing in Language and Communication within the Department of Languages, Literature and Communication. Her research focuses on human-AI interaction, digital communication strategies, and health information design. Research Focus: Her work bridges communication studies with technology, examining: Chatbot interaction design and conversational AI applications Health communication optimization (medication labels, patient information) Social media strategies for organizations and brands Visual/textual comprehension in digital environments Human-centered AI integration in customer service and public administration Publication Trends: Her 15 most recent articles (2021-2025) show strong emphasis on conversational AI design, chatbot-user interaction, and health communication. Earlier work (2005-2017) focused on multimodal learning, instructional design, and visual rhetoric. Methodologically, she employs mixed-methods approaches including content analysis, experimental studies, and user experience evaluation. Teaching and Service: Teaches courses in Communication and Information Sciences (BA) and Communication and Organization (MA) Covers topics including Academic Writing, Research Methodology, and Language Technology Skills include experimental design, corpus-based discourse analysis (SPSS/JASP), and survey research

Gregory F. PayneView profile

Research Professor

• Biofabrication
• Nanobiotechnology
• Stimuli-responsive biopolymers
• +5 more

Gregory F. Payne is a Research Professor and Fischell Institute Fellow at the University of Maryland's A. James Clark School of Engineering, affiliated with the Institute for Bioscience and Biotechnology Research and the Brain and Behavior Institute. His research bridges microelectronics and biotechnology through innovative biofabrication techniques and redox-based communication strategies. Education: Ph.D. in Chemical Engineering from The University of Michigan (1984), M.S. and B.A. in Chemical Engineering from Cornell University (1981, 1979). Research Focus: Dr. Payne leads pioneering work in two domains: 1) Biofabrication using stimuli-responsive biopolymers (chitosan, alginate) and enzymes to construct bio-device interfaces through electrodeposition and biological conjugation mechanisms; 2) Redox-based molecular communication developing catechol-modified matrices and spectroelectrochemical methods to enable electron transfer between biological systems and electronics, facilitating bio-information processing. Publication Trends: Recent work (2022-2025) demonstrates accelerated innovation in redox-enabled bioelectronics, including 3D-printed sensor platforms, electrogenetic cellular control, and biomimetic redox capacitors. The research consistently integrates electrochemistry, synthetic biology, and advanced materials to create bio-hybrid systems for medical, environmental, and industrial applications. Awards and Honors: Guest Professor, Wuhan University, China Fischell Institute Fellow Research Infrastructure: Leads the Payne Group with interdisciplinary collaborations worldwide. Manages projects including a $1.5M NSF grant for bioelectronic devices and $1M Moore Foundation grant for redox communication technology. Current lab focus includes developing the "Internet of Bio-Nano Things" through electrogenetic constructs.

Elizabeth Burke HadleyView profile

Associate Professor

• Early Childhood Literacy
• Language Development
• Vocabulary Acquisition
• +5 more

Dr. Elizabeth Burke Hadley serves as Associate Professor of Literacy Studies within the University of South Florida's College of Education, where her research investigates language and literacy development in pre-kindergarten classrooms through teacher-child interactions during conversations, shared book-reading, and play-based activities. Her research program emphasizes: Vocabulary interventions and assessment methodologies in pre-k settings Impact analysis of state-funded pre-k programs on language outcomes Technology-enhanced measurement of classroom language environments Teacher practices that bridge oral language development to later reading comprehension Recent publications reveal consistent focus on pandemic-related educational disruptions, multimodal teaching strategies, and equity-oriented literacy approaches, with growing attention to digital tools for language analysis and culturally responsive instruction in diverse early childhood contexts. Her scholarly recognition includes: Early Career Award from AERA's Early Education/Child Development Special Interest Group USF Faculty Outstanding Research Award Dr. Hadley directs externally funded research initiatives supported by the National Science Foundation, Spencer Foundation, and American Educational Research Association, maintaining active community partnerships with local school districts to implement evidence-based practices. Her work exemplifies community-engaged scholarship through continuous collaboration with educational organizations to address real-world literacy challenges in underserved populations. Current projects integrate technology to capture authentic classroom discourse while developing interventions that strengthen teacher capacity to foster language growth through purposeful, playful learning experiences.

• Computer Security
• Privacy Engineering
• Data Management
• +2 more

Nicolas ANCIAUX is a Research Director at INSA Centre Val de Loire and affiliated with LIFO (Laboratoire d'Informatique Fondamentale d'Orléans). His research focuses on privacy-enhancing technologies, data security, and applied cryptography, with emphasis on telework monitoring, LLM vulnerabilities, and secure data management systems. He collaborates extensively with institutions like Inria and international researchers. Research Interests: His work spans computer security, privacy engineering, and machine learning security. Key areas include: Privacy-enhancing technologies (PETs) for data minimization and consent Detection of privacy violations in telework environments via energy trails Membership inference attacks on large language models Secure extensible data systems with vulnerability mitigation Publications Focus: Recent articles (2024-2025) explore LLM security flaws, energy-based activity detection, and PET implementations. Themes include adversarial robustness, behavioral analytics, and technical-legal alignment in AI systems. Affiliations: Primary institutional links are with INSA Centre Val de Loire and LIFO. Collaborative networks include researchers from Université d'Orléans, Universidad Carlos III de Madrid, and Inria teams.

Irene RanzatoView profile

Associate Professor

• Translation Studies
• Audiovisual Translation
• English Language and Linguistics
• +4 more

Irene Ranzato is an Associate Professor of English Language and Translation at the Department of European, American and Intercultural Studies , Sapienza University of Rome . She holds a PhD in Translation Studies (Imperial College London, 2013) and a Master of Philosophy in Translation Studies (Imperial College London, 2010). Her academic career spans over two decades, including roles as a contract lecturer and confirmed researcher since 2001. Research Interests : Audiovisual Translation (AVT) Dialectology and British English Accents Sociolinguistic Representation in Media Translation of Cultural Specific References Multilingualism and Language Varieties on Screen Key Projects : Co-founder of the Tradac research center (2016) Creator of the educational website Dialects in Audiovisuals (2017) Collaborator in AHRC-funded research on AVT as Cross-cultural Mediation (2016) Organizer of international conferences on Translation and Media Scientific Awards : 2018 Honorary Research Associate at UCL 2018 National Scientific Habilitation (ASN) to Associate Professor level Teaching and Mentorship : She supervises numerous bachelor’s and master’s theses, with over 81 theses guided between 2015-2018. Her teaching integrates practical translation exercises and theoretical frameworks in AVT, British dialects, and sociolinguistic representation.

Naimul KhanView profile

Associate Professor

• Machine Learning
• Medical Imaging
• Multimedia
• +5 more

Naimul Khan is an Associate Professor and Associate Chair in Graduate Studies at Toronto Metropolitan University's Department of Electrical, Computer, and Biomedical Engineering. His research focuses on practical applications of machine learning, medical imaging, computer vision, and augmented/virtual reality technologies to solve real-world healthcare and multimedia challenges. PhD (Toronto Metropolitan University, 2014) MSc (University of Windsor, 2010) BSc (Bangladesh University of Engineering and Technology, 2008) His research interests span medical imaging automation, virtual reality systems for healthcare applications, and machine learning techniques for biomedical signal processing. He has developed innovative algorithms for ultrasound analysis, emotion recognition systems using EEG data, and segmentation approaches for diabetic foot ulcers. Publications demonstrate consistent focus on practical implementations across computer vision, medical diagnostics, and extended reality (XR) technologies. Scientific contributions include a Best Paper Award at the IEEE International Symposium on Multimedia (2017) and prestigious postdoctoral and graduate scholarships. He actively collaborates with industry partners through the TMU Multimedia Research Laboratory, teaching graduate courses like ELE 725 (Basics of Multimedia Systems) and COE 318 (Software Systems). Best Paper Award, IEEE International Symposium on Multimedia (2017) OCE TalentEdge Postdoctoral Fellowship (2014-2016) Ontario Graduate Scholarship (2013-2014) Queen Elizabeth II Scholarship in Science & Technology (2012-2013) As co-director of the TMU Multimedia Research Laboratory, Khan bridges academic research with industry applications through practical implementations of machine learning and extended reality technologies in healthcare domains.

Veljko PejovićView profile

Associate Professor

• Mobile deep learning
• Approximate computing
• Resource-efficient computing
• +6 more

Veljko Pejović is an Associate Professor at the Faculty of Computer and Information Science (FRI), University of Ljubljana, Slovenia, where he also serves as Head of the Computer Communications Laboratory. His research focuses on mobile computing with special emphasis on resource efficiency in mobile and IoT environments. His educational background includes a PhD in Computer Science from the University of California, Santa Barbara (2012) and a dipl. ing (BS) from the University of Belgrade, Serbia (2006). Pejović's research interests center around mobile deep learning, approximate computing, and resource-efficient computing. His work explores how computation accuracy can be dynamically adapted based on contextual factors to optimize resource usage without significantly compromising user experience. He has made significant contributions to mobile sensing, machine learning on resource-constrained devices, and security in IoT environments. His recent publications reveal a strong trend toward making AI more efficient and accessible on mobile and edge devices, with particular focus on approximate computing techniques, federated learning frameworks, and context-aware adaptation of computational resources. His research spans applications from precision agriculture using UAVs to behavioral authentication in IoT environments and mental health inference from mobile sensor data. Scientific Awards: 10-Year Impact Runner Up Award at ACM UbiComp for InterruptMe work Outstanding research achievement award for 2024 by the Faculty of Computer and Information Science Best Paper Nominee (top 4%) at UbiComp'14 for InterruptMe Pejović actively mentors PhD and master's students, with numerous theses resulting in workshop, conference, and journal publications. He serves as Associate Editor for ACM IMWUT and ACM JCSS, and has held organizational roles in major conferences including ACM UbiComp 2025. His research is supported by multiple significant projects including approXimation for adaptable diStributed artificial intelligence (ARIS), CODA, AgriAdapt, and CARMA. His laboratory, the Computer Communications Laboratory at FRI, focuses on developing practical systems and frameworks for resource-efficient mobile computing, with several open-source tools and datasets publicly available for the research community.

Wen HuView profile

Professor

• Cyber-physical systems
• Internet of Things
• Sensor network systems
• +3 more

Professor Wen Hu is a distinguished academic at the School of Computer Science and Engineering at the University of New South Wales (UNSW), where he holds a professorship focusing on cutting-edge research in cyber-physical systems and the Internet of Things (IoT). With extensive experience in both academia and industry, Professor Hu has established himself as a leading researcher in sensor network systems, low-power communications, security, and compressive sensing. His work bridges theoretical research with practical applications, as evidenced by his active commercialization efforts through roles as Chief Technology Officer at Parking Spotz and former Chief Scientist at WBS Tech. Professor Hu's research interests span multiple domains within cyber-physical systems and IoT. His work particularly focuses on low-power wireless communications , sensor network security , compressive sensing techniques , and novel applications of IoT technologies . His research group explores how these technologies can be applied to solve real-world problems in areas such as smart buildings, environmental monitoring, and human-computer interaction. The research integrates hardware design, communication protocols, security mechanisms, and data analytics to create efficient and robust IoT systems. Professor Hu's publication record demonstrates a consistent focus on advancing the state-of-the-art in wireless sensor networks and IoT. His recent work shows increasing integration of machine learning techniques with traditional sensor systems, exploring applications in areas ranging from healthcare monitoring to agricultural technology. There's a clear trend toward more sophisticated signal processing approaches, particularly using mmWave technology and visible light communications, while maintaining the core focus on energy efficiency and security that has characterized his earlier work. CSIRO Office of Chief Executive (OCE) Julius Career Award (2012-2015) Professor Hu has successfully secured multiple research grants from the Australian Research Council, CSIRO, and industry partners, enabling his team to pursue ambitious research projects with both theoretical significance and practical applications. His editorial leadership as Editor-in-Chief of ACM TOSN and organizational roles in major conferences like CPS-IoT Week 2020 and ACM/IEEE IPSN 2023 demonstrate his significant contributions to the research community. As a senior member of both ACM and IEEE, he actively mentors students and early-career researchers while fostering collaborations across academia and industry. Professor Hu leads a vibrant research group at UNSW that combines theoretical research with practical implementation. His team works closely with industry partners to ensure research relevance and facilitate technology transfer. The group maintains strong connections with international research communities and participates in collaborative projects that address global challenges in IoT and cyber-physical systems.

Sonia R BadenasView profile

Associate Professor

• Second Language Acquisition
• Applied Linguistics
• French Literature
• +3 more

Sonia R Badenas serves as Associate Professor of French in the Department of International Languages & Global Studies at Andrews University, where she also coordinates the Adventist Colleges Abroad program and participates in the ACA Curriculum Board, Liberal Arts Council, and Honors Council. Her academic credentials include: PhD in Applied Linguistics, Universitat Politecnica de Valencia (2015) MA in Licence ès Lettres, University of Geneva (2000) MA in Français Langue Étrangère, University of Grenoble (2005) Dr. Badenas's research pioneers the integration of short stories and fairy tales in cinematic adaptations to advance second language acquisition. Her methodology transforms films like *Blancanieves* and *The Little Prince* into dynamic tools for developing written expression and cultural fluency, moving beyond traditional pedagogy to harness narrative immersion. This approach spans from intermediate French courses to specialized upper-division classes in literature, film, and French Culture & Cuisine, emphasizing authentic engagement with francophone and Hispanic cultural products. Recent publications (2022-2025) reveal an expanding interdisciplinary trajectory, connecting linguistic analysis with political discourse, religious symbolism in folklore, and digital storytelling. Collaborative works with scholars like Stefanescu and Cortez demonstrate cross-cultural applications of her narrative framework across Spanish and French contexts. Through the Adventist Colleges Abroad program, Dr. Badenas champions immersive learning as critical for language mastery, directly informing her pedagogical research. Her council memberships focus on curriculum innovation that embeds narrative-based immersion strategies across liberal arts education, ensuring students gain both linguistic proficiency and intercultural competence.

• Teacher Education
• Teacher Professional Learning
• Literacy Teaching and Learning
• +2 more

Dr. Brenda Stein Dzaldov is a Lecturer at the University of Toronto's Ontario Institute for Studies in Education (OISE), holding dual appointments in the Department of Curriculum, Teaching and Learning and the Department of Applied Psychology and Human Development. Her expertise bridges academic research and K-12 classroom practice, focusing on inclusive pedagogies, literacy development, and teacher education for diverse learners. Her educational foundation includes: PhD in Curriculum Studies and Teacher Development (University of Toronto/OISE, 2012) MEd in Language and Literacies (University of Toronto/OISE, 2006) BEd (Western University, 1991) B.Sc. (Hon) in Psychology and History (University of Toronto, 1990) Dr. Stein Dzaldov's research centers on inclusive education frameworks that integrate special education strategies with mainstream pedagogy, particularly in mathematics and literacy. Her work emphasizes practical classroom applications through differentiated instruction, technology-enhanced learning (e.g., interactive whiteboards), and family engagement resources. Recent publications demonstrate sustained focus on supporting students with Down syndrome, developing deep learning engagement strategies, and adapting instruction for diverse neurotypes. Her 2018-2023 publications reveal consistent contributions to inclusive education practice, with key themes including differentiated math instruction, online learning design, and literacy scaffolding. These works span academic journals, professional guides, and book chapters, reflecting her commitment to translating research into actionable classroom strategies for K-12 educators. Her recognition includes: OISE Award for Excellence in Teacher Education (2019) With nearly two decades of K-8 teaching experience (1991-2010) including specialized roles as a literacy mentor and special education teacher, followed by private school leadership (2010-2016), Dr. Stein Dzaldov brings extensive practical knowledge to teacher education. She currently mentors future educators through courses addressing literacy curriculum design, special education adaptation, and mental health supports, emphasizing evidence-based inclusive practices grounded in real classroom challenges.

• Translation and interpretation studies
• Audiovisual Translation
• Game Localisation
• +7 more

Xiaochun Zhang is a Lecturer in Translation (English to Chinese) at University College London's Translation Studies department, specializing in the critical intersection of translation, gaming, and accessibility. With expertise spanning audiovisual translation and game localization, Dr Zhang contributes significantly to making digital entertainment more inclusive while maintaining cultural authenticity. Dr Zhang's academic background includes a PhD in Translation Studies from the University of Vienna, an MSc in Translation Studies from the University of Edinburgh, and a BA in Applied English from Nanjing Normal University. This cross-cultural educational foundation enables nuanced research in Chinese-English translation contexts and global gaming markets. Research focuses on Game Localisation , Game Accessibility , Audiovisual Translation , and Translation Technology , with particular attention to audio description implementation in video games and cultural adaptation strategies. Recent work examines whether audio description constitutes translation or creative production, alongside investigations of the Mukokuseki Strategy in Japanese game localization. Publications in leading journals like Translation Spaces, Babel, and Games and Culture demonstrate consistent scholarly output with growing citation impact. Dr Zhang has also edited special sections on Film Accessibility in China and Mapping Contemporary Audiovisual Translation in East Asia, establishing thought leadership in Asian translation studies. As an educator, Dr Zhang teaches Game Localisation & Accessibility, Subtitling, and international film distribution modules at UCL while supervising PhD candidates in game accessibility and audiovisual translation. Their multilingual proficiency (Chinese, English, German) provides unique perspective in cross-cultural translation research, particularly valuable for Chinese gaming market analysis.