جست‌وجوی استاد و پژوهشگر

Zoe Handleyمشاهده پروفایل

مدرس ارشد

• Applied Linguistics
• Computer-Assisted Language Learning (CALL)
• Second Language Acquisition
• +۵ مورد دیگر

Dr Zoe Handley is a Senior Lecturer in the Department of Education at the University of York . With a PhD in Informatics from the University of Manchester and a BSc in French Language Technology from UMIST, her career spans roles such as Research Fellow at the University of Nottingham (2007-2009) and Oxford University Press Research Fellow at the University of Oxford (2009-2011). She joined York in 2011 and was promoted to Senior Lecturer in 2017. Education BSc in French Language Technology, UMIST (2001) PhD in Informatics, University of Manchester (2006) Research Interests Her research focuses on second language oral fluency and computer-assisted language learning (CALL) . Key projects include a British Academy-funded investigation into fluency measurement and a British Council-funded study on study-abroad impacts on fluency. She also explores technology's role in pronunciation training, teacher cognition, and digital tools like wikis and smartphones. Scientific Awards Vice Chancellor’s Award for Teaching (2014) Oxford University Press Research Fellowship (2009-2011) Teaching & Leadership She has taught TESOL, applied linguistics, and research methods, leading innovations recognized by the Vice Chancellor. Administrative roles include Director of Taught Masters (2014-2016) and Programme Leader for the interdisciplinary MA in Social Research. Laboratory & Teams She is affiliated with the Centre for Advanced Studies in Language and Education (CASLE) , contributing to interdisciplinary research and supervising doctoral students in CALL-related areas.

• Corpus Linguistics
• Computational Linguistics
• Natural Language Processing
• +۷ مورد دیگر

Anna Bączkowska is a Professor at the University of Gdańsk, affiliated with the Faculty of Languages and the Institute of English and American Studies. Her work spans theoretical and computational linguistics, discourse analysis, and translation studies. Current positions: Director of the Institute of English and American Studies and Associate Professor at the University of Gdańsk Research focuses on corpus linguistics, NLP, and audiovisual translation Her research integrates corpus linguistics , computational methods , and discourse analysis , particularly in political and media contexts, alongside applications in language teaching and translation. She has participated in numerous international projects, including COST Actions like ENEOLI, PhraConRep, and DePolarisingEU. Scientific contributions and recognition include: 2024 Rector’s Award for teaching achievements 2017 Medal of the National Education Committee 2006 Bronze Cross of Merit

• Cybersecurity
• Cryptography
• Information Security
• +۷ مورد دیگر

Dr. Viktor Melnyk serves as an Assistant Professor in the Department of Applied Computer Science at the Institute of Mathematics, Informatics and Landscape Architecture within the Faculty of Natural Sciences and Technology at John Paul II Catholic University of Lublin. His academic activities span teaching, research, and extensive student supervision across multiple years. His research interests focus on cybersecurity, cryptography, and FPGA-based systems, with particular expertise in wireless network security (especially IEEE 802.15.4), hardware acceleration, and machine learning applications in electronic design. His work bridges theoretical computer science with practical security implementations, evident in his numerous publications and student thesis topics. Analysis of Dr. Melnyk's recent publications reveals a consistent focus on hardware security implementations, particularly for low-rate wireless networks and reconfigurable computing systems. His research trajectory shows increasing integration of machine learning techniques with traditional security protocols, reflecting broader trends in the field. The publications demonstrate both theoretical depth and practical implementation focus, with many papers addressing specific hardware implementations. Dr. Melnyk has served as an Independent External Expert for evaluating grant proposals in the European COST Open Call competition, indicating professional recognition of his expertise. His contributions to the academic community extend to reviewing numerous scientific articles across various domains including biomedical data processing, cyber-physical systems, and cloud computing. His academic advising is exceptionally active, with documentation of supervising over 100 diploma theses from 2015 through 2025 across both Bachelor's and Master's levels. The thesis topics consistently align with his research interests, covering cybersecurity, cryptography, network security, and hardware implementations. He teaches courses including 'Operating Systems,' 'Network Data Protection Technologies,' and 'Multimedia Systems,' with teaching materials adapted for remote delivery during the pandemic period.

• Applied Linguistics
• Critical Applied Linguistics
• Queer Theory
• +۳ مورد دیگر

Dr. Jason Ho is a Lecturer in English for Academic Study at the School of Modern Languages & Cultures , University of Glasgow. His research focuses on critical intersections between language education, queer theory, and digital pedagogy. Research Interests: Applied linguistics, queer theory, educational technology, and cross-cultural communication Publications: Recent works explore collaborative learning via online whiteboards and critical perspectives in applied linguistics Supervision: Advises PhD research on postcolonial cultural brokerage in cross-cultural theatrical narratives Contact: Jason.Ho@glasgow.ac.uk

Mahsa Yarmohammadiمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Deep Learning
• Automatic Speech Recognition
• +۴ مورد دیگر

Mahsa Yarmohammadi is an Assistant Research Scientist at the Center for Language and Speech Processing (CLSP), where she leads research in cross-lingual language and speech applications. Her work focuses on deep learning techniques for multilingual data representation, automatic speech recognition (ASR), and speech translation. She develops novel algorithms for ASR decoders and explores interfaces between ASR and machine translation systems. Education: PhD in Computer Science and Engineering, Oregon Health & Science University (2016) Master’s in Computer (Software) Engineering, Shahid Beheshti University, Iran (2007) Undergraduate degree in Computer (Software) Engineering, Amirkabir University of Technology (Tehran Polytechnic) (2004) Research Interests: Her expertise spans Natural Language Processing (syntactic/semantic parsing, information extraction), multilingual systems, deep learning, and ASR. She specializes in resource transfer across languages, neural lattice embeddings, and end-to-end system integration for speech and language technologies. Publication Trends: Recent articles (2019–2025) emphasize multilingual challenges: cross-lingual retrieval, contextual ASR, coreference resolution in dialogue, and zero-shot information extraction. Her work frequently addresses low-resource settings, neural algorithm design, and real-world dataset creation (e.g., earnings call analysis, COVID-19 QA pairs). Grants & Teams: As a prime researcher in multi-site programs, she collaborates on large-scale multilingual projects. She was mentored by Benjamin Van Durme (Johns Hopkins CS) and Sanjeev Khudanpur (Johns Hopkins ECE) during her CLSP post-doctoral fellowship (2021).

Wen Liمشاهده پروفایل

استادیار

• Software Security
• Software Engineering
• Network Security

Wen Li is an Assistant Professor at the School of Computing , Utah State University. Their research focuses on software security , software engineering , and network security , with significant contributions to analyzing multilingual software systems. Recent work highlights include: Characterization of multilingual software and language selection patterns Security analysis of cross-language interactions and runtime vulnerabilities Development of fuzzing frameworks like Pyrtfuzz and POLYFUZZ Investigation of dynamic information flow and memory management in complex systems Research trends demonstrate expertise in software testing, language interoperability, and security verification across programming environments.

• Educational Technology
• Computer-Assisted Language Learning (CALL)
• Game-Based Learning
• +۶ مورد دیگر

Dr. Monica Ward is a Teaching Professor at Dublin City University, currently serving as the Dean of Teaching and Learning within the Office of the Vice-President for Academic Affairs. Her work bridges technology and pedagogy, focusing on innovative educational tools. Office of the Vice-President for Academic Affairs Glasnevin Campus, Room D114 Monica's research interests revolve around Computer-Assisted Language Learning (CALL) , educational technology , and game-based learning . She has contributed significantly to inclusive education, language revitalization (e.g., Irish and Nawat), and formative assessment in both language learning and introductory programming. Her projects often leverage Artificial Intelligence , Virtual Reality , and gamification to create engaging, accessible learning environments. Her recent publications highlight trends in adaptive learning technologies , socio-cultural immersion , and student-centered CALL design . Notable works include studies on educational robotics for dyslexic learners, AI-driven text analysis in game-based language learning, and the impact of interactive oral assessments. Monica has developed educational games like Cipher: Faoi Gheasa and Cipher VR , which integrate mythology and technology to enhance language reconnection. She also explores peer observation, collaborative modules, and green approaches in educational app development, reflecting her commitment to sustainable and culturally relevant teaching strategies.

• Applied Linguistics
• Second Language Acquisition (SLA)
• Language Curriculum Development
• +۶ مورد دیگر

Ronald P. Leow is a Professor of Applied Linguistics and Director of Spanish Language Instruction at Georgetown University's Department of Spanish and Portuguese within the College. His expertise spans language curriculum development, instructed second language acquisition (ISLA), psycholinguistics, and computer-assisted language learning (CALL). He holds a Ph.D. in Linguistics from the University of Illinois at Urbana-Champaign. Dr. Leow's research focuses on cognitive processes in L2 learning, written corrective feedback (WCF), and pedagogical applications of SLA theories. He has conducted workshops globally on teacher education and curriculum design. His work bridges SLA theory with classroom practice, emphasizing empirical methodologies like eye-tracking and think-aloud protocols. Key themes in his publications include task-based language teaching, the role of awareness in learning, and the integration of technology in language education. He advocates for curricula that align research findings with practical instructional strategies, promoting depth of processing in L2 acquisition.

Francesco Lelliمشاهده پروفایل

استادیار

• Artificial Intelligence
• Data Science
• Digitalization
• +۷ مورد دیگر

Francesco Lelli is an Assistant Professor at Tilburg School of Economics and Management (TiSEM), Tilburg University, where he holds a position in the Department of Information Systems and Operations Management. His academic work bridges theoretical research with practical applications in digitalization, smart technologies, and industry transformation. He actively contributes to the Master in Information Management program, teaching Business Process Integration and Service-Oriented Architecture courses. His research focuses on human-device interaction, artificial intelligence ethics, Industry 4.0 applications, and data-driven decision-making. He has published extensively on topics like smart device agency, cybersecurity in financial systems, and interoperability frameworks. Notable datasets include studies on S&P500 security breaches and human-smart device relationships. Recent publications highlight trends in AI ethics, Industry 4.0 digital twins, and sociotechnical system analysis. His work emphasizes societal relevance, with projects addressing technology adoption challenges and ethical dimensions of emerging technologies. Francesco maintains an open-door policy for collaboration and mentorship, offering thesis guidance in information systems, cloud computing, and AI applications. He actively engages with industry partners to ensure research translates into real-world impact.

• Applied Linguistics
• Language Assessment
• Computational Linguistics
• +۳ مورد دیگر

Zhi Li is a faculty member at the University of Saskatchewan in the Department of Linguistics . With expertise in applied linguistics and technology-assisted language learning , their work bridges language assessment and computational linguistics . Primary research: language testing , CALL , corpus-based analysis Key methodologies: NLP , text mining , multimodal analysis Research trends include: Automated Writing Evaluation (AWE): Systematic impact analysis on grammatical accuracy and ESL pedagogy . Assessment Validity: Argument-based approaches to placement tests and response time metrics . Technological Integration: Mobile-assisted learning, multimodal lecture analysis , and digital discourse patterns .

• Mobile and wireless systems
• Internet of Things (IoT)
• Edge computing
• +۷ مورد دیگر

Mahanth Gowda is an Associate Professor in the Department of Computer Science and Engineering, leading a prolific research program at the intersection of mobile systems, wireless sensing, and human-computer interaction. His work has been continuously funded by the U.S. National Science Foundation since 2019, serving as Principal Investigator on four awards and Co-PI on two others, collectively spanning edge computing for XR, sign-language recognition, next-generation wireless networking, and healthcare-oriented wearables. Research Interests Millimetre-wave and ultra-wideband sensing for 3-D finger motion tracking and speech eavesdropping Edge-IoT platforms for real-time sign-language recognition and translation Neural-augmented game streaming and super-resolution on commodity mobile devices Open-source wearable systems for sports analytics and rehabilitative healthcare Security and privacy implications of motion sensors in smartphones and IoT devices Over the past five years his publication trajectory has concentrated on leveraging emerging radio modalities—especially millimetre-wave radar, Wi-Fi, and UWB—to extract fine-grained human-centric information such as finger gestures, facial micro-motions, and spoken content. A complementary thread develops edge-native machine-learning frameworks that push intelligence to resource-constrained devices, enabling immersive AR/VR experiences and assistive technologies for the Deaf and hard-of-hearing communities. Grants & Projects CAREER: Sign-to-Speech – NSF, $500k, 2021-2026; Edge-IoT platform for real-time ASL recognition. SHF: Medium: Next-Gen XR Edge Platform – NSF, $1.2M, 2022-2025; Co-PI with Das, Sivasubramaniam, Kandemir. CNS Core: IoTScope – NSF, $450k, 2020-2025; Sensing physical materials via low-cost IoT radios. CNS Core: Medium: ML-driven Next-G Wireless – NSF, $800k, 2020-2024; Co-PI with Yang and Mahdavi. I-Corps: Smart Ring for Healthcare Analytics – NSF, $50k, 2023-2025; Commercialization of finger-motion wearables. Labs & Teams Gowda directs a research group that operates at the confluence of wireless networking, embedded systems, and applied machine learning. The lab maintains active collaborations with faculty in computer architecture, augmented reality, and accessibility studies, and routinely mentors graduate researchers whose work appears in top-tier venues such as ACM MobiCom, IEEE INFOCOM, ISCA, and ACM IoTDI.

• Second Language Acquisition
• Study Abroad
• Pragmatics Instruction
• +۴ مورد دیگر

Nicola Halenko is a Senior Lecturer in Applied Linguistics at the University of Central Lancashire (UCLan), serving as Course Leader for the BA (Hons) TESOL with Modern Languages programme. She teaches on BA and MA TESOL programmes and supervises postgraduate/doctoral research projects focused on second language teaching and learning. Prior to academia, she taught English as a second language in Europe, Asia, and Australia. Research Interests: Second language pragmatics and pedagogy Study abroad effects on language development Formulaic language use and instructional interventions Email pragmatics in cross-cultural contexts Technology-enhanced language learning (CALL) Key Contributions: Edited volumes on email pragmatics and second language acquisition Co-authored over 24 peer-reviewed articles since 2011 Focus on practical applications of pragmatics research in EFL/EAP settings Her work bridges theoretical linguistics with classroom practice, emphasizing the role of pre-departure instruction and study abroad experiences in shaping pragmatic competence.

Soon Lay Kiمشاهده پروفایل

دانشیار

• Applied Natural Language Processing
• Data Management
• Aspect-Based Sentiment Analysis
• +۹ مورد دیگر

Soon Lay Ki is an Associate Professor at the School of Information Technology, Monash University Malaysia, where she also serves as Associate Head (Graduate Research) since November 2018. Her academic journey began with roles at Multimedia University (MMU), where she was a Senior Lecturer and Deputy Dean (Research and Innovation) from 2016 to 2018. PhD in Web Engineering, Soongsil University, Korea Master of Science in Database, Universiti Putra Malaysia Bachelor of Computer Science, Universiti Putra Malaysia Her research centers on applied natural language processing and data management , with a focus on analyzing domain-specific and social media content. Her work spans aspect-based sentiment analysis , cyberbullying detection , misinformation detection , and relation extraction from conversational texts. Recently, her research has expanded into digital health , particularly emotion-aware mental health chatbots and emotion detection via video data. The most recent articles highlight a strong trend in AI for social good , including legal reasoning, mental health, accessibility, and public health. Her publications appear in high-impact journals and conferences such as Artificial Intelligence and Law , IEEE Transactions on Dependable and Secure Computing , and ACL-affiliated workshops. She has received notable scientific awards, including: ITEX'24 Silver Award for 'MOBOT' mental health chatbot (2024) Silver Medal at Malaysia Technology Expo 2023 for the same innovation The Incubator Grant: Bolster Category (2023) Dr. Soon has graduated seven PhD and three Master’s students, one of whom received the MMU Best Master Thesis Award in 2015. She leads multiple research grants, including FRGS-funded projects and industry collaborations with Telekom Malaysia and Intel . She is currently a Chief Investigator or Primary Chief Investigator on six active projects, including WHinc, WAge, and Epsilon, often in collaboration with Monash Australia and SEACO. She is part of key research teams such as the Action Lab at Monash University Australia and the South East Asia Community Observatory (SEACO) , contributing to inclusive research infrastructure and public health data access initiatives.

Sihang Liuمشاهده پروفایل

استادیار

• Computer Architecture
• Computer Systems
• Persistent Memory Systems
• +۳ مورد دیگر

Dr. Sihang Liu is an Assistant Professor in the School of Computer Science at the University of Waterloo. Prior to this role, he served as a visiting faculty member at SystemsResearch@Google. He holds a PhD from the University of Virginia, where his research was supported by the Google Fellowship Award. His academic career has been marked by contributions to computer architecture, systems, and persistent memory technologies. Dr. Liu's research interests span computer architecture, systems, and cybersecurity, with a focus on persistent memory systems, energy-efficient computing, and data center optimization. His work bridges hardware-software co-design and explores challenges in scalable computing, fault tolerance, and sustainable AI systems. His recent publications highlight advancements in adaptive memory tiering (HybridTier), carbon intensity forecasting (EnsembleCI), and securing persistent memory (Side-Channel Attacks on Optane). These contributions underscore his commitment to addressing critical issues in modern computing systems' performance, security, and environmental impact. Awards: Google Fellowship Award (PhD), NVMW Memorable Paper Award Finalist (2019), 2019 MICRO Top Picks Honorable Mention Professional Service: Program committees for ISCA, MICRO, ASPLOS; Artifact evaluation roles in leading conferences As an advisor, Dr. Liu mentors a diverse group of students, including current PhD candidates Henry Tian and Desen Sun, and numerous undergraduates. His lab focuses on innovation in sustainable computing and resilient systems design.

Nicole Zieglerمشاهده پروفایل

دانشیار

• Second Language Acquisition
• Computer-Assisted Language Learning (CALL)
• Task-Based Language Teaching
• +۳ مورد دیگر

Nicole Ziegler is an Associate Professor and Graduate Chair at the University of Hawaii at Manoa, holding a PhD from Georgetown University. Her research focuses on second language acquisition (SLA) in instructed contexts, with particular emphasis on task-based language teaching (TBLT), computer-assisted language learning (CALL), and maritime English communication. She investigates how corrective feedback in traditional and digital environments influences learners' perceptions and language development, while also exploring lexical and socio-pragmatic challenges in the commercial shipping industry. Her expertise spans interdisciplinary research methodologies, including mixed-methods and synthetic approaches to enhance SLA and CALL research quality. Dr. Ziegler collaborates with cooperating faculty such as Graham Crookes, Dustin Crowther, and others, contributing to the development of authentic teaching materials based on real-world maritime communication needs. Her work bridges theoretical SLA frameworks with practical pedagogical applications in digital and traditional settings.