جست‌وجوی استاد و پژوهشگر

Paul Taeleمشاهده پروفایل

عضو هیئت علمی

• Sketch Recognition
• Human-Computer Interaction (HCI)
• Artificial Intelligence
• +۵ مورد دیگر

Paul Taele is an Instructional Assistant Professor and Deputy Lab Director in the Sketch Recognition Lab at Texas A&M University's Department of Computer Science & Engineering. He holds a Ph.D. (2019), M.S. (2010), and dual B.S. degrees in Computer Science and Mathematics from the University of Texas at Austin (2006). His research focuses on sketch recognition, haptics, and intelligent interfaces for education and accessibility, with notable work in mid-air gesture recognition, educational sketching tools, and assistive technologies for disabilities. He has contributed to projects like Kanji Workbook , Hashigo , and HaptiMoto , and has published over 50 peer-reviewed articles across venues like CHI, IUI, and AAAI. Taele has received awards including the NSF Student Travel Grant (2014) and Ford Foundation Honorable Mention (2015). He teaches courses in capstone design, programming, and sketch recognition, and mentors students across all academic levels through strict eligibility criteria for research collaborations. Education : Ph.D. Computer Science, Texas A&M University (2019) M.S. Computer Science, Texas A&M University (2010) B.S. Computer Science & Mathematics, University of Texas at Austin (2006) Concentration in Mandarin Chinese, National Chengchi University (2007) Research Interests : Taele's work bridges HCI and AI to create accessible educational interfaces. His projects emphasize: Sketch Recognition : Developing algorithms for mid-air gestures, children's developmental assessments, and language learning Accessibility : Haptic systems for visually impaired learners and algebra education Educational Tech : Intelligent tutoring systems for music, math, and East Asian languages Awards & Grants : EAAI-20 Travel Grant (2020) Ford Foundation Dissertation Honorable Mention (2015) NSF East Asia-Pacific Summer Institutes (2013, 2012) Royce E. Wisenbaker Fellowship (2009) Lab & Teams : Director of the Sketch Recognition Lab (SRL) and collaborator with global institutions like Singapore Management University and National Taiwan University. Active in organizing workshops like SketchRec at IUI conferences.

Danyang Zhuoمشاهده پروفایل

استادیار

• Datacenter and Cloud Computing
• Machine Learning Systems
• Operating Systems
• +۳ مورد دیگر

Danyang Zhuo is an Assistant Professor of Computer Science at Duke University, Trinity College of Arts & Sciences, with expertise in datacenter/cloud computing and machine learning systems. He joined Duke in 2020 after postdoctoral research at UC Berkeley under Ion Stoica and a PhD at the University of Washington advised by Tom Anderson and Arvind Krishnamurthy. Education: PhD in Computer Science (University of Washington, 2019) His research focuses on improving cloud infrastructure through systems like Phoenix (application-level abstractions) and Phantora (GPU cluster simulation). Recent work explores LLM verification, tensor compression via video codecs, and fairness in LLM serving. His 15 most recent publications span operating systems, machine learning, and networked systems conferences like HOTOS, NSDI, SIGCOMM, and OSDI. Scientific honors include NSF CAREER Award (2023), USENIX Security Distinguished Paper (2023), and multiple industry research awards. He has secured major NSF grants for projects including "OS-Managed Remote Procedure Call" and "Campus-level RDMA Networking." At Duke, he advises PhD students and teaches courses such as Introduction to Operating Systems (CompSci 310) and Systems for Machine Learning (CompSci 590.05). His work appears in leading conferences and journals, with collaborations across institutions including UC Berkeley, University of Washington, and industry partners.

Ahmed Ferhadiمشاهده پروفایل

استاد بالینی

• Second Language Acquisition
• Sociolinguistics
• Language Testing
• +۳ مورد دیگر

Ahmed Ferhadi is a Clinical Professor of Middle Eastern & Islamic Studies at New York University (NYU), specializing in linguistics with a focus on Second Language Acquisition, Sociolinguistics, and Language Testing. He holds a PhD in Linguistics from the University of Michigan (1990), an MA in Teaching Arabic as a Foreign Language (TAFL) from the same institution, and an M.S. in Applied Linguistics from the University of Edinburgh. His teaching career spans institutions like Princeton University, Columbia University, and Kurdish universities such as Salahuddin and Suleimaniyya Universities. He pioneered video-based language performance evaluation methods during his tenure at Middlebury College in 1991, which became a standard practice. Ferhadi has also served in high-level advisory roles, including President of the Association of American Teachers of Arabic (AATA) since 2017 and Distinguished Global Scholar of Kurdish Studies at American University (2010). Research interests include Kurdish language standardization, advanced Arabic pedagogy, and the sociopolitical dimensions of language. His projects include a Kurdish standardization initiative and curriculum development for advanced Arabic learners. Ferhadi has received numerous accolades, including the Golden Teaching Award (NYU 2000) and Top Language Award (U.S. Department of State 2006). His publications span linguistic theory, pedagogical techniques, and cultural studies, with recent works addressing Arabic dialect dynamics and Kurdish language policy. Ferhadi’s work bridges academic rigor with practical applications, emphasizing technology’s role in modern language education.

Lisa Willsمشاهده پروفایل

استادیار

• Computer Architecture
• Hardware Acceleration
• Hardware-Software Co-Design
• +۵ مورد دیگر

Lisa Wills serves as Assistant Professor of Computer Science at Duke University's Trinity College of Arts & Sciences and holds a joint appointment in Electrical and Computer Engineering at the Pratt School of Engineering since 2019. Her research bridges computer architecture and domain-specific applications, with a focus on hardware acceleration for computationally intensive fields. Dr. Wills earned her Ph.D. from Columbia University in 2014. Her academic journey reflects a deep commitment to advancing hardware-software co-design methodologies for real-world computational challenges. Her research centers on developing efficient hardware accelerators for big data analytics, particularly in genomics, graph processing, and database systems. She pioneers frameworks that simplify accelerator deployment while tackling critical bottlenecks in genomic data analysis, protein structure prediction, and privacy-preserving computing. Current work focuses on hardware-aware machine learning systems and energy-efficient architectures for emerging AI applications. Analysis of her publication record reveals a clear trajectory: from foundational work in database processing units (2014-2016) to specialized genomic accelerators (2019-2021), then evolving toward ML-enhanced design automation (2022-2023) and cutting-edge architectural abstractions (2024-2025). Her research consistently targets the intersection of hardware efficiency and domain-specific computational demands, with increasing emphasis on AI/ML workloads. Google ML and Systems Junior Faculty Award (2025) Dr. Wills actively mentors doctoral students including Chris Kjellqvist (lead architect of Beethoven accelerator framework), Mason Ma (PyTFHE FHE framework), and Mansi Choudhary (COCOSSim accelerator simulator). Her research is supported by significant grants including the NSF AI Institute: Athena ($20M, 2021-2027), Meta-funded ProSE accelerator project (2023-2026), and NSF CAREER award (2021-2026), totaling over $25M in active funding. She directs the APEX Lab (Application-driven Programmable Efficient Accelerated Systems), which develops open-source frameworks like Beethoven for FPGA/ASIC accelerator deployment and focuses on lowering barriers for non-hardware researchers to leverage custom acceleration in genomics, AI, and big data applications.

Pedro Fonsecaمشاهده پروفایل

استادیار

• Computer Security
• Operating Systems
• Distributed Systems
• +۴ مورد دیگر

Pedro Fonseca is an Assistant Professor at the Department of Computer Science, Purdue University. He leads the Reliable and Secure Systems Lab, focusing on building reliable and secure core software systems such as operating systems, hypervisors, and distributed systems. His research has been recognized with awards including the NSF CAREER Award and Google Faculty Research Awards. Before Purdue, he completed a postdoc at the University of Washington, working with Arvind Krishnamurthy, Hank Levy, and Xi Wang. He earned his PhD from MPI-SWS and the University of Saarland under Rodrigo Rodrigues. His academic contributions span over 30 peer-reviewed publications in top-tier conferences like SOSP, OSDI, EuroSys, and ASPLOS. He teaches courses including CS503 (Operating Systems), CS592 (Reliable and Secure Systems), and CS408 (Software Testing). He actively serves on program committees for major systems conferences including SOSP, OSDI, EuroSys, and ASPLOS.

Masato Kikuchiمشاهده پروفایل

دانشیار

• Instructional Technology
• Intelligent Computer-Assisted Language Instruction (CALI)
• Japanese Language
• +۴ مورد دیگر

Dr. Masato Kikuchi is an Associate Professor of Japanese in the School of Modern Languages at Georgia Tech. He holds a PhD from the University of Pittsburgh (1995), an M.S. in Intercultural Communication (1982), and a B.A. from International Christian University (1979). His research focuses on instructional technologies for language acquisition, particularly leveraging virtual worlds like Second Life for immersive Japanese learning. He has developed platforms such as the 'Sky Platform at EduNation III,' exploring 3D visualization for grammar concepts and comparative studies on 3D vs. 2D language learning tools. Dr. Kikuchi teaches advanced and intermediate Japanese courses, specializing in CALL (Computer-Assisted Language Learning), technical translation, and intercultural communication. His work emphasizes integrating technology into language education, including courseware design for online and hybrid learning environments. Recent projects include software for virtual world-based communicative practice and research on NMT (Neural Machine Translation) as a pedagogical tool. His publications span conference proceedings, courseware development, and software tools like the 'Understanding Written Japanese' CD-ROM series. He actively presents on topics such as virtual world design, information gap exercises, and Japanese course design. His research aligns with Georgia Tech’s focus on STEM-integrated language education and international collaborations.

Scott Despainمشاهده پروفایل

دانشیار

• Second Language Acquisition
• Technology-assisted Language Instruction
• Sociocultural Theory
• +۴ مورد دیگر

Scott Despain is an Associate Professor and Associate Department Head in the Department of Foreign Languages and Literatures at NC State University. He holds a PhD in Hispanic Language and Literature from Indiana University-Bloomington (1997). His expertise spans Second Language Acquisition, Technology-Enhanced Instruction, Sociocultural Theory, and Distance Education. Professor Despain has led initiatives in large enrollment language courses, graduate teaching programs, and technology integration in education. Research interests focus on language pedagogy, with notable work on Costa Rican pronoun systems and online language course design. He has received teaching awards (Thank a Teacher, 2010/2013/2014) and served in administrative roles including Director of Graduate Programs (2007-2019) and Standards Coordinator (2013-2019). Over 30 graduate students have been advised under his mentorship. Publications include articles in Foreign Language Annals , Hispania , and ADFL Bulletin , alongside contributions to language courseware development. His service includes leadership in curriculum committees, grievance panels, and professional organizations like CALICO and ACTFL.

Bradley Reavesمشاهده پروفایل

دانشیار

• Cyber Security
• Network Security
• Mobile Security
• +۲ مورد دیگر

Bradley Reaves serves as an Associate Professor in the Department of Computer Science at North Carolina State University and is a core member of the Wolfpack Security and Privacy Research (WSPR) Lab and the Secure Computing Institute. His work focuses on real-world security and privacy challenges across cellular networks, mobile platforms, and software systems. Education: Ph.D. in Computer Engineering, University of Florida (2017) M.S. in Computer Science, Georgia Institute of Technology (2015) Research Interests: Dr. Reaves pioneers interdisciplinary security solutions combining signal processing, machine learning, and cryptography to combat robocalls, mobile fraud, and software vulnerabilities. His work spans telephone network security (e.g., call authentication systems), mobile money security in developing economies, and software secret leakage in repositories. He emphasizes practical impact through industry collaboration and deployable tools. Publication Trends: Recent work (2023-2024) shows concentrated focus on telecom security (call traceback, SMS phishing), software vulnerability management (LLM-assisted patching, secret leakage), and network policy systems . His research consistently bridges theoretical innovation with real-world data collection, including analysis of 1.5 million robocalls and mobile money transaction fraud. Awards: Best Paper at ACM WiSec (2013) Advising and Collaborations: Dr. Reaves mentors Ph.D., Master's, and undergraduate researchers through structured pathways: Ph.D. applicants must demonstrate specific interest in his publications; Master's students typically engage via courses like CSC 574; undergraduates require CSC 230 completion and 10+ weekly hours. Industry partnerships include data sharing under confidential agreements, student hiring pipelines, and commissioned research for telecom fraud analysis. Labs and Teams: He leads the Wolfpack Security and Privacy Research (WSPR) Lab, which operates within NC State's Secure Computing Institute. The lab specializes in large-scale security measurement studies and develops tools like SNORCall for robocall analysis and SecretBench for secret leakage detection.

Kazumi Matsumotoمشاهده پروفایل

دانشیار

• Fluency in Second Language Learners
• Second Language Writing
• Intercultural Competence of Second Language Learners

Kazumi Matsumoto serves as Associate Professor of Japanese within the Department of Modern Languages and Classics at Ball State University's College of Sciences and Humanities. Her academic profile centers on empirical research in second language acquisition with specialized focus on Japanese language pedagogy and learner performance metrics. Her educational credentials include: Ph.D. in Applied Linguistics (Japanese), Purdue University (2010) Dr. Matsumoto's research program investigates fluency development , second language writing , and intercultural competence through rigorous quantitative methodologies. She pioneered the application of computational tools like the Fluency Calculator to objectively measure oral production characteristics, challenging traditional subjective fluency assessments. Her scholarly trajectory reveals evolving methodological sophistication—from early kanji recognition studies examining L1 transfer effects to current corpus-based analyses of oral dysfluency patterns across proficiency levels. This progression demonstrates consistent commitment to objective measurement in second language performance, particularly through computational analysis of learner corpora and tool development for fluency assessment. Dr. Matsumoto's advising activities and grant funding details are not specified in available institutional materials.

Bronson Huiمشاهده پروفایل

استادیار

• Second Language Acquisition
• Applied Psycholinguistics
• Vocabulary Learning and Teaching
• +۴ مورد دیگر

Bronson Hui is an Assistant Professor of Second Language Acquisition at the University of Maryland, College Park, within the School of Languages, Literatures, and Cultures (SLLC). He is also a member of the Maryland Language Science Center. His research focuses on applied psycholinguistics, particularly second language acquisition in instructed contexts, multi-modal input, vocabulary learning, and open science practices. Hui holds a Ph.D. in Second Language Studies from Michigan State University, an M.S. in Applied Linguistics from the University of Oxford, and dual B.A./B.Ed. degrees in English Language and Education from the University of Hong Kong. Education: Ph.D., Second Language Studies, Michigan State University M.S., Applied Linguistics and Second Language Acquisition, University of Oxford B.A. & B.Ed., English Language and Linguistics / Language Education, University of Hong Kong His research interests include experimental methods in SLA, quantitative analysis, and the use of AI tools in meta-research. He has published in journals like Studies in Second Language Acquisition , Language Learning , and Applied Psycholinguistics . Hui serves on the editorial boards of TESOL Quarterly and Studies in Second Language Acquisition . He teaches courses such as Second Language Research Methodologies , Psycholinguistics , and Vocabulary Acquisition in Instructional Contexts . Hui actively advises graduate students in empirical studies, dissertation research, and grant proposals. His work emphasizes open science practices, including pre-registration, data sharing, and reproducible analyses. Hui has developed workshops on R programming for applied linguists, emphasizing ethical data practices and open-source tools. He collaborates internationally on projects like the ASReview tutorial for meta-research and has contributed to book projects on quantitative methods in applied linguistics.

Yasir Zakiمشاهده پروفایل

استادیار

• Communication Networks
• Wireless Networks
• Cellular Communication
• +۹ مورد دیگر

Yasir Zaki is an Assistant Professor of Computer Science at New York University Abu Dhabi and a Global Network Assistant Professor at the Courant Institute of Mathematical Sciences, NYU. He leads the Communication Networks Lab, focusing on next-generation communication systems, performance optimization, and digital equity. University: New York University Abu Dhabi School: Courant Institute of Mathematical Sciences Department: Department of Computer Science Academic Rank: Assistant Professor Email: yz48@nyu.edu Dr. Zaki holds an MSc and PhD in Communication and Information Technology from the University of Bremen, graduating with honors. His research centers on communication and wireless networks, cellular systems, congestion control, and enhancing internet access in developing regions. His work bridges theory and real-world impact, especially in digital inclusion and AI's role in education. His recent publications span top venues like PNAS, IEEE TCSS, and ACM IMC, covering topics such as satellite network performance, digital inequality (Lite-Web), AI in education, and Big Tech's global influence. These works reveal a strong trend toward socially impactful computing, network measurement at scale, and algorithmic transparency. Big Tech Dominance Despite Global Mistrust Perception of AI in Education YouTube's Political Bias Lite-Web for Digital Equity Satellite Network Analysis His research has been recognized through high-profile media coverage in Nature and The National , and his PhD student Hazem Ibrahim received the MIT Technology Review Arabia’s Innovators Under 35 MENA 2023 award. This reflects the lab's excellence in computational social science and AI policy. Dr. Zaki mentors students in the Capstone and Research Seminar courses and actively advises PhD and research assistants. He has secured research funding through NYUAD and collaborative projects, enabling field deployments in 56 countries. His lab, the Communication Networks Lab, fosters interdisciplinary work, involving researchers from computer science, social sciences, and policy.

Robert Godwin-Jonesمشاهده پروفایل

استاد

• Computer-Assisted Language Learning
• Second Language Acquisition
• Artificial Intelligence in Language Education
• +۳ مورد دیگر

Robert Godwin-Jones is a Professor in the Department of Foreign Language at Virginia Commonwealth University's College of Humanities and Sciences, where he has served since 1979. He holds the position of Foreign Language Liaison and maintains active scholarly contributions through his "German Stories" digital repository and "Communicating Across Cultures" blog, focusing on technology-enhanced language pedagogy and intercultural communication. His educational background includes: B.A. in French and German from Franklin and Marshall College (1971) M.A. in Comparative Literature (German, French, and English) (1973) Ph.D. in Comparative Literature from the University of Illinois Urbana-Champaign (1977) Dr. Godwin-Jones specializes in Computer-Assisted Language Learning (CALL), with research spanning artificial intelligence applications, virtual reality environments, and digital literacies for language learners. His work examines how emerging technologies transform second language acquisition through ecological semiotics, distributed agency models, and multimodal communication frameworks. He investigates pedagogical translanguaging strategies for less commonly taught languages and analyzes authenticity in AI-mediated language interactions, particularly in pragmatics and writing development. Analysis of his 2021-2025 publications reveals three dominant trajectories: (1) generative AI integration in language instruction with emphasis on ethical implementation and threat mitigation; (2) extended reality applications creating immersive language spaces in the metaverse; and (3) ecological approaches connecting smart devices, ambient intelligence, and situated learning contexts. His scholarship consistently bridges theoretical frameworks with practical classroom applications across 19th-century German literature studies and contemporary language education. He maintains active professional engagement through memberships in: Delta Phi Alpha German Honorary Society Phi Kappa Phi Honorary Society Modern Language Association American Association of Teachers of German American Association of Teachers of French Foreign Language Association of Virginia As director of the "German Stories" project since 1994, he has curated verified editions of 19th-century German narratives with English translations under Creative Commons licensing, creating what has become a foundational resource for literary study and language acquisition. His blog extends this work through contemporary analyses of intercultural communication challenges, while his scholarly leadership in organizations like CALICO shapes national discourse on technology in language education. His laboratory functions as the "German Stories" digital ecosystem, which has evolved into a comprehensive platform hosting annotated texts, pedagogical resources, and research archives. This environment supports both formal classroom instruction and informal learning communities, demonstrating his commitment to porous classroom models that integrate physical and digital learning spaces.

Steven Zhouمشاهده پروفایل

استادیار

• leadership
• personality
• vocational psychology
• +۱۰ مورد دیگر

Steven Zhou is an Assistant Professor of Psychological Science at Claremont McKenna College, where he leads the STATS Lab (www.statslabatcmc.com). His academic work bridges quantitative methods with psychological research, focusing on leadership, personality, and vocational psychology. With methodological expertise in psychometrics, machine learning, and data visualization, he actively contributes to both academic and practitioner communities through research, teaching, and consulting. Dr. Zhou's educational background includes: PhD in Organizational Psychology + Certificate in Computational Social Sciences from George Mason University BA in Organizational Psychology + Certificate in Conflict Resolution from Pepperdine University His research program centers on developing and refining psychological assessments while investigating bias in measurement systems. Dr. Zhou specializes in forced-choice personality assessments, leadership evaluation methodologies, and career calling research. His work consistently addresses the gap between academic research and practical application in organizational settings, with recent projects incorporating large language models and agent-based simulations to study complex behavioral phenomena. Dr. Zhou's publication record shows a clear trajectory toward increasingly sophisticated methodological approaches to organizational psychology questions. His recent work demonstrates growing integration of computational techniques (machine learning, NLP) with traditional psychological research, while maintaining strong connections to practical organizational applications. The research consistently addresses measurement challenges in leadership assessment and career development. His notable scientific achievements include: 2025 Jablin Dissertation Award from the International Leadership Association and Jepson School of Leadership Studies 2025 Chapman Dissertation Award from the Network of Leadership Scholars and Academy of Management 2023 Dissertation Research Award from the American Psychological Association 2022 Free Inquiry Grant from the Foundation for Individual Rights and Expression 2022 Graen Grant for Student Research on Leaders and Teams from SIOP 2021 Kenneth E. Clark Student Research Award from ILA and Center for Creative Leadership 2021 Outstanding Graduate Student Instructor from GMU Department of Psychology Dr. Zhou actively mentors both graduate and undergraduate students, with numerous student co-authors across his publication record. He has secured nearly $40,000 in external research funding to support his work on leadership assessment and psychometric methodology. His professional service includes editorial roles for multiple journals and leadership positions within the Society for Industrial and Organizational Psychology. As director of the STATS Lab, Dr. Zhou leads a research team focused on applying quantitative methods to understand leadership, career development, and personality. The lab's five research pillars include Psychometrics & Measurement Science, Bias in Measurement & Analytics, Leadership Assessment & Team Dynamics, Integrating Novel Methods into Research, and Career Development & Vocational Psychology, all emphasizing both methodological rigor and practical application.

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.