جست‌وجوی استاد و پژوهشگر

• Sociolinguistics
• Phonetics
• Linguistic Variation
• +۵ مورد دیگر

Prof. Charles Boberg is an Associate Professor of Linguistics at McGill University, specializing in sociolinguistics, phonetics, and dialectology. He has conducted extensive research on linguistic variation in Canadian English, including regional phonetic and lexical differences. His work includes co-authoring the Atlas of North American English and authoring The English Language in Canada . Currently, he is co-editing the Handbook of Dialectology with John Nerbonne and Dominic Watt. Education: B.A. in Political Science and German (University of Alberta, 1986) Ph.D. in Linguistics (University of Pennsylvania, 1997) His research focuses on ethno-phonetic variation in Montreal English, the Canadian Shift, and language contact dynamics in bilingual regions like Quebec. He has pioneered methods for studying lexical variation through the North American Regional Vocabulary Survey. His recent projects at FRIAS involve exploring European dialectological frameworks to refine global dialectology studies. Key contributions include analyzing the emergence of new phonemes in Canadian English and documenting sociolinguistic patterns influenced by ethnicity and urbanization. His work bridges North American and European dialectology, emphasizing comparative methodologies and interdisciplinary collaboration.

• Historical Sociolinguistics
• Regional Variation in English Dialects
• Dialect Attrition
• +۶ مورد دیگر

Esther Asprey is a Senior Lecturer in English Language and Linguistics at the School of Social Science and Humanities, University of Wolverhampton. Her expertise lies in historical sociolinguistics, regional variation across the British Isles, and linguistics applications beyond academia. She has published extensively on Black Country dialect and is currently documenting Shropshire dialects and tracking lexical attrition via community-driven open-source projects. MA in English Language and German (University of Edinburgh) MA in English Language and World Englishes (University of Leeds) PhD on Black Country English (University of Leeds) Postgraduate Certificate in Professional Practice (Aston University) Her research explores dialect change during industrialization, language ideologies, and women’s roles in mining communities. Recent articles focus on negation strategies, sensory vocabulary, and dialect documentation. Awards include Fellowship of the Higher Education Academy. She has collaborated with Walsall Archives and Ironbridge’s Museum of the Gorge to digitize oral histories and supervise two Wolverhampton doctoral students.

Martha L. Bulykمشاهده پروفایل

استاد

• Transcription factors
• DNA regulatory elements
• Genomics
• +۵ مورد دیگر

Martha L. Bulyk is a Professor of Medicine and Pathology at Harvard Medical School, with appointments in the Division of Genetics at Brigham & Women's Hospital. She serves as Co-Chair of the Harvard Biophysics Graduate Program and holds associate memberships at the Broad Institute of MIT and Harvard and the Dana-Farber Cancer Institute Center for Cancer Systems Biology. Her laboratory is located in the New Research Building at Harvard Medical School in Boston. Her research focuses on decoding transcriptional regulation through the study of transcription factors (TFs) and DNA regulatory elements. Using integrated experimental and computational genomics approaches, her lab investigates: High-throughput analysis of TF-DNA binding specificities Cis-regulatory codes in eukaryotic genomes Effects of protein interactions and DNA structure on TF function Molecular determinants of protein-DNA binding specificity and evolution Impact of genetic variation on human transcription factors Pioneer factor interactions with nucleosomes Regulatory functions of alternative TF isoforms in breast cancer Quantitative information encoding in transcriptional enhancers/silencers Recent publications demonstrate a strong focus on mechanistic studies of transcriptional regulation, with recurring themes in chromatin dynamics, cancer biology (particularly neuroblastoma and breast cancer), developmental gene regulation, and computational method development. Her work frequently integrates structural, evolutionary, and functional genomics approaches. The Bulyk Laboratory currently comprises 2 graduate students, 3 postdoctoral fellows, 4 technicians, and 2 undergraduate students. The lab participates in multiple Harvard University programs including the Biophysics PhD Program, Biological & Biomedical Sciences (BBS) PhD Program, Systems/Synthetic/Quantitative Biology PhD Program, Bioinformatics & Integrative Genomics (BIG) PhD Program, and the School of Public Health Program in Quantitative Genomics.

• Critical Discourse Studies
• Political Resistance
• Language Policy
• +۷ مورد دیگر

Johann Unger is a Senior Lecturer in Critical Discourse Studies at the School of Social Sciences, Lancaster University . He works part-time, with office hours typically on Thursdays (15:00–16:00), and is unavailable on Wednesdays. His research focuses on digitally mediated politics , political resistance , language policy , and critical discourse analysis . University: Lancaster University Academic Rank: Senior Lecturer Part-Time: Yes Unger’s research interests include: Language policy and politics of minority languages (e.g., Scots) Discourse sociolinguistics and non-standard orthography Gender and language (e.g., sexist stereotypes in cartoons) Dialect representation in fiction and media discourse Political resistance through social media and new media His supervision includes PhD topics such as: Anti-feminist discourse in online forums Sexual harassment narratives among sex-workers Language policy in Pakistan Migrant attitudes on Saudi Twitter Persuasion tactics in TED talks Notable projects include Countermapping Urban Palestine , Gender, Language and Animation Resource , and Political Resistance Online (2011–2021). He is affiliated with research groups like DisTex (Discourse and Text Research) and the Lancaster Literacy Research Centre . Unger’s publications bridge critical discourse analysis and digital media , with works on: Social media discourse methodologies Language policy in the UK’s ‘hostile environment’ Scots language construction in political and educational contexts Online activism and identity negotiation

Alexandra Georgiouمشاهده پروفایل

مدرس ارشد

• Inclusive Education
• Multilingual Education
• Refugee Education
• +۳ مورد دیگر

Dr Alexandra Georgiou serves as a Senior Lecturer in Education (Primary) at the School of Human and Social Sciences, University of West London, holding Fellowship status with the Higher Education Academy. A fully qualified teacher with QTS, she brings extensive practical experience from London's mainstream primary schools and Greek complementary schools to her academic role. Her academic credentials include: PhD in Language and Education, UCL Institute of Education (2020) MA in Literacy Learning and Literacy Difficulties, UCL Institute of Education (2014) BA (Hons) in Primary Education, University of Cyprus (2013) Georgiou's research centers on inclusive education through sociocultural lenses, specializing in multilingual refugee populations. Her groundbreaking PhD ethnography in Cyprus revealed how holistic integration of refugee children's linguistic repertoires fosters metalinguistic awareness and reverses classroom power dynamics. This work directly informs international educational policy for vulnerable multilingual learners, emphasizing cultural resource utilization and equitable curriculum design. Her publication trajectory demonstrates consistent focus on refugee/migrant education, evolving from Cypriot classroom studies to UK credential recognition barriers and inclusive research methodologies. The corpus reveals strong thematic continuity in examining language policing, vulnerability frameworks, and power structures across educational contexts, with increasing policy relevance. Her scientific recognition includes: Fellow of the Higher Education Academy Georgiou has secured competitive funding from the British Academy and European Erasmus+ programs, collaborating with multilingual families across the UK and community organizations throughout Europe. She teaches across undergraduate programs in Early Childhood Studies and Education Studies, plus supervises PhD candidates, while maintaining active school partnerships. Her research-practice nexus is evident in translating classroom ethnography into actionable inclusive pedagogies. She maintains active partnerships with European community-based organizations through Erasmus+ initiatives, developing transnational frameworks for multilingual inclusion. Her work bridges academic research with grassroots implementation, particularly in refugee education contexts where cultural resources become pedagogical assets.

Muskaan Singhمشاهده پروفایل

مدرس

• Natural Language Processing (NLP)
• Computational Linguistics
• Artificial Intelligence (AI)
• +۹ مورد دیگر

Muskaan Singh is a Lecturer in Data Analytics at the Intelligent Systems Research Centre (ISRC) within the School of Computing, Engineering and Intelligent Systems at Ulster University . A member of the Cognitive Analytics Research Lab (CARL) , her work bridges Natural Language Processing (NLP) , Artificial Intelligence , and Practical Applications in domains ranging from machine translation to biomedical diagnostics. Education: PhD in Machine Translation (Thapar Institute of Engineering and Technology, 2016-2020) Master’s in Machine Translation (IIIT Hyderabad, India) Her research spans NLP and AI with applications in code-switched language modeling , depression detection , social media analytics , and medical diagnostics . She has developed multilingual tools for automatic minuting, including DeepCon and ALIGNMEET , and contributed to EU-funded projects like ROXANNE (criminal network analysis) and ELITR (European Live Translator). Key scientific awards include first prizes in international NLP competitions (EVAL4NLP, LT-EDI, SMM4H) and recognition at EMNLP , ACL , and COLING . She received the Inclusion and Diversity Grant (EMNLP 2021) and GHC Scholarship (2019). Current projects include AI-EPOCMON (AI-Enabled Point-of-Care Monitoring) and T3-NCP (crime prevention for safer communities). Dr. Singh has supervised grants from UKRI and Alzheimer’s Research UK , focusing on AI for health and IT operations . Her team at ISRC collaborates globally with institutions in Switzerland , Czech Republic , and India . She also leads research for the Center for Data Science and Artificial Intelligence at IIIT Lucknow, India.

• Mechanical Engineering
• Artificial Intelligence
• Tribology
• +۳ مورد دیگر

Hassan Shirvani is a Professor of Engineering Design and Simulation at the School of Engineering and the Built Environment, Anglia Ruskin University. He serves as Director of the Engineering Analysis Simulation and Tribology (EAST) Research Group, focusing on industry collaborations to solve engineering challenges. PhD in Mechanical Engineering, University of Bath MSc in Mechanical Engineering, University of Birmingham Member, Institute of Mechanical Engineers (IMechE) His research spans mechanical engineering, artificial intelligence, and biomedical applications, including: Thermal system optimization Machine learning in clinical decision-making Composite metal foil manufacturing Virtual reality medical training systems Flow dynamics in heat exchangers and nozzles AI-assisted diagnostics Hybrid manufacturing processes Hassan's publications reflect expertise in computational modeling, multi-physics simulations, and industrial applications. Notable areas include deep learning for suicide prediction, thermodynamic analysis of sustainable energy systems, and tribology in mechanical components.

Scott W Lindermanمشاهده پروفایل

استادیار

• Machine Learning
• Computational Neuroscience
• Statistical Modeling
• +۵ مورد دیگر

Scott W Linderman is an Assistant Professor of Statistics at Stanford University with courtesy appointments in Electrical Engineering and Computer Science. He serves as an Institute Scholar in the Wu Tsai Neurosciences Institute and is affiliated with Stanford Bio-X and the Stanford AI Lab. Education: PhD in Computer Science (2016) - Harvard University SM in Computer Science (2013) - Harvard University BS in Electrical and Computer Engineering (2008) - Cornell University 3 years as Microsoft software engineer before graduate school His research focuses on machine learning and computational neuroscience , developing: Advanced state space models (rSLDS, GP-SLDS) behavioral time series methods (GIMBAL, Keypoint MoSeq) deep state space architectures (S5, ELK) point process models (PP-Seq) scalable inference algorithms (SIXO, Structure-exploiting VI) Key collaborations include: Prof. David Anderson (Caltech) - hypothalamic dynamics Prof. Bob Datta (Harvard Medical School) - behavioral sequencing Prof. Chris Ré (Stanford) - biomedical ML Prof. David Sussillo (Stanford) - neural network theory Scientific contributions: Developed SSM and Dynamax software packages Leonard J. Savage Award recipient (2016) Bridging reinforcement learning and neural dynamics Advancing 3D keypoint tracking and behavioral syllable analysis Labs & teams: Linderman Lab - computational neuroscience Stanford AI Lab - machine learning Wu Tsai Neurosciences Institute - interdisciplinary research Stanford Bio-X - cross-departmental collaboration

Bryan Koronkiewiczمشاهده پروفایل

دانشیار

• bilingualism
• code-switching
• syntax
• +۵ مورد دیگر

Bryan Koronkiewicz serves as Associate Professor of Spanish Linguistics within the Department of Modern Languages & Classics at the University of Alabama. His academic profile bridges theoretical linguistics and practical language education with specialized expertise in bilingual speech phenomena. His educational trajectory includes: PhD in Hispanic Studies (Linguistics), University of Illinois at Chicago (2014) MA in Hispanic Studies (Linguistics), University of Illinois at Chicago (2010) BA in Spanish / Communication Arts, University of Wisconsin-Madison Dr. Koronkiewicz's research centers on Spanish-English code-switching through experimental and quantitative lenses, examining syntactic constraints in heritage speakers' language production. His work interrogates phenomena like preposition stranding, adverb placement, and inalienable possession while addressing methodological challenges in bilingualism research. This interdisciplinary approach connects theoretical syntax with second language acquisition and heritage language pedagogy, emphasizing empirical validation of linguistic constraints. Analysis of his 13 publications (2013-2023) reveals consistent focus on experimental code-switching research using acceptability judgments and corpus methods. Key trends include systematic investigation of syntactic boundaries in bilingual speech, methodological innovations in data collection, and expansion into language pedagogy through studies of social media integration and writing assessment. His work demonstrates strong alignment with contemporary debates in bilingual syntax while maintaining practical relevance for heritage language education. No scientific awards or fellowships were documented in the source material. Dr. Koronkiewicz teaches across the curriculum from first-year language courses to graduate seminars in bilingualism, syntax, and second language teaching methods. While departmental highlights reference French PhD students (Awodirepo, Lambon, Dafong), no specific advisees in Spanish linguistics are identified. The text contains no mention of grant funding or research team leadership. No dedicated laboratories or research collectives are associated with his profile in the available documentation.

Joshua I Glaserمشاهده پروفایل

استادیار

• Computational Neuroscience
• Neural Control of Movement
• Interpretable Machine Learning
• +۷ مورد دیگر

Joshua I Glaser is an Assistant Professor at Northwestern University, holding dual appointments in the Department of Neurology (Feinberg School of Medicine) and the McCormick School of Engineering. His research focuses on computational neuroscience, particularly the neural control of movement and interpretable machine learning. Glaser earned a BS in Physics and Math from the University of Illinois Urbana-Champaign (2011), a PhD in Neuroscience from Northwestern University (2018), and completed postdoctoral training at the University of Pennsylvania and Columbia University. Research Interests: Glaser’s lab develops interpretable machine learning tools to understand neural computations underlying movement and behavior. Key areas include neural population interactions, flexible behavior control, and disease-related neural dynamics. Projects include interpretable dimensionality reduction, decoding models linking neural activity to behavior, and multi-population neural interaction analysis. Lab & Collaborations: The Glaser Lab collaborates with experimental neuroscientists and statisticians. Current projects involve developing novel methods for analyzing neural data while maintaining interpretability. They host a team of PhD, master’s, and undergraduate students. Grants & Awards: While no specific awards are listed, his work reflects sustained funding in computational neuroscience and engineering. Code & Resources: Lab-developed tools include Neural_Decoding (machine learning for neural decoding), SSM (state-space models), and Sparse Component Analysis (interpretable latent factor analysis). These are publicly available on GitHub.

• RF/Microwave/mm-wave Circuits
• Antenna Systems
• Electromagnetic Compatibility (EMC)
• +۷ مورد دیگر

Rasool Keshavarz is a Senior Research Fellow at the University of Technology Sydney (UTS), affiliated with the School of Electrical and Data Engineering within the Faculty of Engineering and Information Technology. He holds a Ph.D. in Telecommunications Engineering from Amirkabir University of Technology, Iran. His research focuses on RF/microwave/mm-wave systems, antennas, sensors, and electromagnetic compatibility (EMC), with a strong emphasis on applications in precision agriculture and IoT. He leads projects like 'Sustainable Sensing for Precision Agriculture' (funded by Food Agility-CRC and NTT) and collaborates with Zetifi Company on rural connectivity solutions. Education: Ph.D. in Telecommunications Engineering (Amirkabir University of Technology), M.Sc./B.Sc. details not specified. Professional roles at UTS include Senior Research Fellow (2023–present), Postdoctoral Research Fellow (2022–2023), and Visiting Fellow (2019–2021). He teaches courses such as 'Introduction to Satellite Communication and Sensing' and supervises graduate projects in 5G antennas, energy harvesting, and sensor design. Research interests span metamaterials, wireless power transfer, agricultural sensing systems, and antenna design for IoT. Key projects involve developing compact, low-cost RF systems for rural connectivity and sensor PCBs for soil quality analysis. His work integrates AI-driven data fusion strategies and advanced electromagnetic modeling. Recent publications highlight innovations in THz beamforming, soil permittivity spectroscopy, and reconfigurable antennas for smart agriculture. He is a technical leader in EMC compliance testing and contributes to industry partnerships for agricultural technology advancements.

• Language Learning Strategies
• Bilingualism & Multilingualism
• Applied Linguistics
• +۳ مورد دیگر

Dr. Mario Moya is a Senior Lecturer at the University of East London affiliated with the Childhood & Social Care research institute. His work focuses on multilingual education, language learning strategies, and pedagogical innovation. He has presented at international conferences and published extensively on topics like critical literacy, sociocultural theory, and positive psychology in language classrooms. Current affiliation: University of East London Academic rank: Senior Lecturer Research focus: Multilingualism, language pedagogy, teacher training Research Themes : Moya explores how multilingual learners can be empowered through transformative pedagogical approaches. His work emphasizes the use of language learning strategies (SBI) within sociocultural frameworks, critical liberating literacy practices, and the integration of positive psychology principles in EFL classrooms. He also investigates the role of the mother tongue in language acquisition and the application of cognitive apprenticeship models for teacher development. Publication Trends : Moya's recent articles (2014-2022) span applied linguistics, educational technology, and psychological well-being. They address topics like participatory assessment, linguistic diversity in education, and workplace happiness measurement. His work bridges theory and practice through case studies, conference proceedings, and pedagogical frameworks. Professional Contributions : He contributes to teacher training through research on reflective practice and structured debriefing tools. His international collaborations include presentations at conferences in Argentina, UAE, and Germany.

Anirudh Sivaramanمشاهده پروفایل

استادیار

• Computer Networks
• Network Programmability
• Distributed Systems
• +۳ مورد دیگر

Anirudh Sivaraman is an Assistant Professor of Computer Science at New York University's Courant Institute, specializing in computer networks and programmability. He holds a PhD from MIT (2017) and a BTech from IIT Madras (2010). His research focuses on enabling ubiquitous network programmability through hardware-software systems, including compilers, runtimes, and applications like distributed consensus and financial exchanges. Education: Ph.D. in Computer Science, MIT (2012–2017) S.M. in Computer Science, MIT (2010–2012) B.Tech in CSE, IIT Madras (2006–2010) Research Interests: Network programmability (e.g., P4, Barefoot Networks) High-speed packet processing and compiler optimization Distributed systems and consensus protocols Cybersecurity in programmable networks Cloud computing and microservice autoscaling Notable Articles Trends: Focus on programmable networks (P4, NIC design) Hardware-software co-design for performance Security and isolation in multi-tenant environments Compiler-based solutions for bug detection Awards: ACM SIGCOMM Doctoral Dissertation (2017), SIGCOMM Best Paper (2017), and multiple teaching awards. Advising & Grants: PI on grants totaling $900K+ (Google, Amazon, NSF). Advises 8+ PhD/Master’s students. Serves on committees for SIGCOMM, NSDI, and HotNets. Labs/Teams: Technical advisor at Clockwork. Co-organizes workshops on programmable networks and P4 standards.

Ali C. Begenمشاهده پروفایل

استاد

• Multimedia Networking
• Adaptive Streaming
• Low-Latency Live Streaming
• +۷ مورد دیگر

Ali C. Begen is a Professor in the Computer Science Department at Ozyegin University in Istanbul, Turkey. He is also the founder of Networked Media , a technology consultancy specializing in IP video solutions. Prior to academia, he was a Technical Lead at Cisco in San Jose, California, and has over 40 US patents in media transport protocols. Education: PhD in Electrical and Computer Engineering (Georgia Tech, 2006); BSc in Electrical Engineering (Bilkent University, 2001) Professional Recognition: Emmy® Award for Technology and Engineering (2022); ACM SIGMM Test of Time Paper Award (2022); SVTA Fellow (2023); IEEE Distinguished Lecturer (2016-2018) Research Focus: Begen’s work bridges low-latency live streaming , media-over-QUIC transport (MOQ) , and adaptive streaming protocols (DASH, WebRTC) . His recent research explores unifying real-time communication and content delivery under a single protocol to reduce complexity and improve scalability. Publications: Recent articles analyze bandwidth prediction , QUIC prioritization , and cross-protocol collaboration , reflecting a trend toward data-driven, network-aware media delivery systems. Honors: Emmy® Award (2022) ACM SIGMM Test of Time (2022) IEEE Distinguished Lecturer (2016, re-elected 2018) SVTA Fellow (2023) Royal Society Newton Fellowship (2019) Advising & Collaborations: Begen has served on thesis committees for over 15 PhD/MS students at institutions like Ozyegin University, University of Klagenfurt, and Koc University. He actively contributes to standards bodies (IEEE, ACM) and industry consortia like the Streaming Video Technology Alliance.

• Arabic Natural Language Processing
• Machine Translation
• Dialect Identification
• +۷ مورد دیگر

Ahmed Abdelali is a prominent researcher at Hamad Bin Khalifa University's Qatar Computing Research Institute (QCRI), where he works in the Arabic Language Technologies department. With 97 publications spanning from 2004 to 2024, he has established himself as a leading figure in Arabic natural language processing research. His work has been presented at major conferences including ACL, EMNLP, EACL, and specialized Arabic NLP venues. Dr. Abdelali's research focuses on several key areas within Arabic computational linguistics, with particular emphasis on Arabic language technologies. His work spans Arabic dialect identification, diacritization, machine translation, offensive language detection, and part-of-speech tagging. In recent years, he has been at the forefront of adapting large language models for Arabic language processing, contributing significantly to benchmarking frameworks like LAraBench and LLMeBench that evaluate Arabic language models' performance. His publication record shows consistent high-impact contributions, with notable collaborations with researchers including Hamdy Mubarak (45 co-authored papers), Kareem Darwish (38 co-authored papers), and Nadir Durrani (26 co-authored papers). Recent work has focused on large language models for Arabic, cross-lingual spaces, and benchmarking frameworks to advance Arabic AI capabilities. His research bridges theoretical advances with practical applications, particularly in processing the linguistic complexities of Arabic and its dialects. Through his leadership in developing resources like the Farasa segmenter and contributions to major Arabic NLP conferences, Dr. Abdelali has played a pivotal role in establishing the infrastructure and community for Arabic language technology research.