Computer-Assisted Language Instruction Professors and Supervisors | ApplySharif

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Joanne FoxView profile

Teaching Professor

University of British ColumbiaCanada

Joanne Fox is a Teaching Professor and Principal of UBC Vantage College at the University of British Columbia (Vancouver campus). She holds affiliations with the Michael Smith Laboratories, Advanced Molecular Biology Laboratory (AMBL), and the Department of Microbiology and Immunology. With a PhD in Genetics from UBC, her career spans over 15 years in science education innovation and leadership. Her expertise includes first-year academic transition programs, international education, and interdisciplinary collaboration. Dr. Fox pioneered UBC’s First Year Seminars (SCIE113) and led the design of Vantage College’s Science-stream curriculum. As Principal, she oversees faculty collaboration and student support across disciplines. Her leadership extends to initiatives like the Terry Project, fostering dialogue between humanities and STEM students. Recognized with the UBC Killam Teaching Prize, she emphasizes linguistically responsive instruction and program evaluation for international students. Her research focuses on pedagogical strategies for diverse learners, including writing skill development and active learning techniques. She has developed collaborative TA training models and integrated science communication into undergraduate curricula. Prior roles include Academic Director of Vantage College and Head of the Bioinformatics Centre. Dr. Fox’s outreach programs engage over 1,500 students annually through AMBL educational initiatives. Awards: UBC Killam Teaching Prize Labs/Teams: Advanced Molecular Biology Laboratory (AMBL), Vantage College Leadership Team Grants/Funding: Not explicitly listed, but supported through institutional programs Her work bridges teaching innovation with institutional leadership, shaping inclusive and interdisciplinary academic environments.

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Claudio SilvaView profile

Professor

New York UniversityUnited States

Claudio Silva is an Institute Professor of Computer Science and Engineering at NYU Tandon School of Engineering and Professor of Data Science at NYU Center for Data Science. He co-founded the Center for Urban Science and Progress (CUSP) and the Visualization, Imaging and Data Analysis (VIDA) Center. His academic journey includes a BS in mathematics from Universidade Federal do Ceará (1990) and PhD in computer science from SUNY Stony Brook (1996). Co-Director, VIDA Center Former Professor, University of Utah (2003-2011) Technology Consultant, MLB Advanced Media (2012-2017) Research Interests : At the intersection of visualization, geometric computing, and urban/sports analytics, his work includes: AR task guidance systems (ARGUS, HuBar) Urban data analysis (3D visualization, sidewalk mapping) LLM multimodal reasoning (POEM, BDIViz) Biomedical data tools (TopoMap++, T-Explainer) 2023-2025 Research Trends : Recent publications focus on neuroadaptive AR systems (AdaptiveCoPilot), LLM prompt optimization (POEM), explainable AI frameworks (T-Explainer), and urban data visualization (Urban Rhapsody). Collaborations span NYU, Northrop Grumman, and NSF/DARPA grants for projects like OSCUR and PTG. Scientific Honors : ACM Fellow (2024) IEEE Visualization Academy (2019) IEEE Technical Achievement Award (2014) Technology Emmy for Statcast (2018) His lab has developed open-source tools like ARGUS on GitHub and pioneered methods in fNIRS-based cognitive workload analysis for pilot training systems. Current projects include NASA-funded OpenSpace and NSF-backed OSCUR.

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Vitaliy PopovView profile

Assistant Professor

University of Michigan-Ann ArborUnited States

Vitaliy Popov is an Assistant Professor in the Department of Learning Health Sciences at the University of Michigan Medical School, with a courtesy appointment at the University of Michigan School of Information. He also serves as Director of Learning Sciences and Technology for the Clinical Simulation Center of the University of Michigan Medical School. His research focuses on optimizing team function in healthcare to improve learning, performance, and patient outcomes, leveraging learning analytics, simulation-based training, and extended reality (XR). He holds a Ph.D. in computer-supported collaborative learning from Wageningen University & Research Center, Netherlands. Research interests span Learning Sciences, Health Sciences, Artificial Intelligence, and eXtended Reality. Current projects include NSF-funded initiatives on multimodal learning analytics in VR teamwork and visual attention mechanisms in surgical teams. He co-leads the SI 582 Interaction Design course at U-M School of Information and contributes to editorial boards of Annals of Medicine - Medical Education and International Journal of Computer-Supported Collaborative Learning . Recent work explores AI applications in surgical learning, shared decision-making in healthcare teams, and metaverse innovations in medical education. His research bridges education science, healthcare technology, and human-computer interaction, with a focus on interprofessional collaboration and technology-enhanced learning environments.

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Elizabeth DeifellView profile

Senior Lecturer

Appalachian State UniversityUnited States

Dr. Elizabeth Deifell is a Senior Lecturer in the Department of Languages, Literatures & Cultures at Appalachian State University. She specializes in teaching Spanish and TESL/Applied Linguistics, with research interests in Second Language Acquisition, curriculum design, computer-assisted language teaching, and heritage language instruction. Her work addresses challenges in language education, particularly in leveraging technology for effective teaching and learning in disruptive contexts like the pandemic. Dr. Deifell holds a Ph.D. in Second Language Acquisition from The University of Iowa, an M.A. in Spanish from the University of Wisconsin-Madison, and a B.A. in Spanish and Latin American Studies from the University of North Carolina-Chapel Hill. Her recent publications focus on emergency remote language teaching strategies and technology integration in post-pandemic education. She has contributed to special journal issues and peer-reviewed articles exploring topics such as online dictionary use and character learning in language education. Her research emphasizes practical solutions for educators in digital and crisis-driven environments, with a focus on adapting curricula and leveraging CALL tools to enhance student outcomes.

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Ján PerháčView profile

Assistant Professor

Technical University of KosiceSlovakia

Ján Perháč is an Assistant Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Košice. He teaches core courses including Database Systems, Logic for Informaticians, and Type Theory, while leading laboratory sessions on programming semantics and formal methods. His office is located at Letná 9 (Building B525), with consultations available by appointment. Research Focus: Dr. Perháč specializes in computational logic and formal methods, with emphasis on: Development of educational tools for teaching formal proofs and programming semantics Applications of non-traditional logical systems in computer science Type theory implementations and semantic modeling of programming languages Web-based interactive systems for logic visualization and automated theorem proving Publication Analysis: His recent articles (2022-2025) demonstrate strong focus on creating pedagogical tools for formal logic education, with multiple web-based proof assistants and visualization platforms. Secondary themes include advancements in intensional logic systems and programming language semantics, with occasional interdisciplinary work in environmental modeling and geoinformatics. Awards & Recognition: Best Presentation Award at SCYR 2019 Doctoral Conference (IT Section) Research Leadership: Principal Investigator for: European Research Network on Formal Proofs Modern Approaches in IT Education: Type Theory Participant in projects including compiler education innovations and edge-to-cloud computing architectures. Serves on program committees for IEEE Informatics conferences and the Modeling, Control and Information Technologies symposium.

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Sarah CastleView profile

Assistant Professor

University of IdahoUnited States

Sarah Castle is an Assistant Professor of Mathematics Education at the University of Idaho's Department of Mathematics and Statistical Sciences, with an affiliation to the College of Education, Health and Human Sciences. She holds a Ph.D. (2023) and M.S. (2022) in Mathematics Education and Mathematics from Michigan State University, alongside dual bachelor's degrees in Engineering Physics and Mathematics from Whitworth University (2016). Her research focuses on two core themes: 1) Using computation to uncover and address systemic inequities in undergraduate STEM education, and 2) Leveraging computational environments to foster mathematical creativity among marginalized students. Her work integrates critical pedagogy with computational tools to explore how coding and computational thinking can democratize access to STEM disciplines. Key areas of investigation include: structural inequities in STEM course outcomes, the role of groupwork in linguistically diverse classrooms, and the design of computational modules that enhance mathematical creativity. Her recent studies examine systemic advantages affecting student success across six universities and demonstrate how coding strengths can be harnessed to improve mathematics learning in computational science contexts. Awards and grants: While no specific awards are listed, her research has been disseminated through top-tier conferences like the ACM Technical Symposium on Computer Science Education and the AERA Annual Meeting. Her work is supported by interdisciplinary collaborations across mathematics, education, and computing fields. Teaching: She instructs courses such as EDCI 411, EDCI 434, MTHE 410, and others bridging mathematics education and pedagogical theory.

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Yi ZhangView profile

Assistant Professor

Delaware State UniversityUnited States

Dr. Yi Zhang is an Assistant Professor in the Department of Languages and Literatures at Delaware State University (DSU). He serves as Director of DSU’s Chinese Language and Culture Research Center and Assistant Director of the ESL Programs . His research focuses on sociolinguistics, discourse analysis, multilingualism, and translanguaging in digital contexts, with publications in prestigious journals like Social Semiotics and International Journal of Multilingualism . Education: Ph.D. in Second Language Acquisition & Instructional Technology, University of South Florida (2017) M.A. in Teaching English as a Second Language, Pennsylvania State University (2012) B.A. in English Education, Yangzhou University (China, 2010) Research Trends: Dr. Zhang’s work explores translanguaging practices in Chinese social media, gender representation in educational materials, and multilingual communication strategies. His studies often combine semiotic analysis with digital ethnography, revealing how online platforms reshape linguistic behavior and cultural identity. Labs/Teams: Oversees the Chinese Language and Culture Research Center, fostering multilingual education initiatives. Collaborates with editorial boards including Discourse, Context & Media .

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Smiljana PetrovicView profile

Associate Professor

Iona UniversityUnited States

Dr. Smiljana Petrovic is an Associate Professor and Assistant Chair of the Computer Science Department at Iona University. She has been with the institution since 2008, teaching courses in artificial intelligence, data mining, database systems, and software engineering. Her research focuses on machine learning techniques for authorship attribution, particularly analyzing 18th-century political writings like those of Thomas Paine, and constraint satisfaction problems. Dr. Petrovic holds a Ph.D. in Computer Science from the CUNY Graduate Center, an MS from Lehman College, and a BS in Mathematics from the University of Belgrade, Serbia. She has mentored numerous students in master’s theses and research projects, emphasizing data mining applications. She is a recipient of prestigious awards, including the 2014 Br. William B. Cornelia Distinguished Faculty Award and the 2023 Br. Arthur A. Loftus Outstanding Student Research Award. Her work bridges computer science with digital humanities, employing machine learning to solve historical text analysis challenges. Research interests also include algorithmic problem-solving and pedagogical strategies in computer science education. Dr. Petrovic actively collaborates on interdisciplinary projects, such as the Iona College Text Analysis Project exploring historical letters. Awards: 2014 Distinguished Faculty Award, 2022 Senior Faculty Award, 2023 Student Research Award. Key Projects: Thomas Paine Corpus Analysis, Authorship Attribution Methodologies, Constraint Satisfaction Algorithms. Advising: Supervised over 20 student research projects, including master’s theses on machine learning applications in healthcare, cybersecurity, and music analysis.

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Chris MayfieldView profile

Professor

James Madison UniversityUnited States

Chris Mayfield is a Professor of Computer Science at James Madison University's College of Integrated Science & Engineering, where he has held roles as Professor (2023–Present), Associate Professor (2017–2023), and Assistant Professor (2011–2017). His expertise lies in computer science education and faculty development, focusing on undergraduate and high school curricula. He holds a Ph.D. and M.S. in Computer Science from Purdue University (2011 and 2007) and dual degrees in Computer Science and German Language from the University of Utah (B.S./B.A., 2005). His research emphasizes student-centered pedagogies like Process-Oriented Guided Inquiry Learning (POGIL), evaluating their impact on learning outcomes, student engagement, and sense of belonging in introductory courses. He has explored frameworks for curriculum standardization, free textbook initiatives, and faculty development programs to enhance CS education at all levels. His work bridges theory and practice, with notable contributions to textbooks like Think Java and tools like Praxly for CS assessment. Prior to academia, Mayfield worked as a software developer (2001–2005) and held internships at Google (2009) and IBM Almaden (2008). His career reflects a commitment to making computer science accessible, equitable, and engaging through innovative teaching methods and collaborative research.

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Ross GruetzemacherView profile

Assistant Professor

Wichita State UniversityUnited States

Ross Gruetzemacher serves as an Assistant Professor at Wichita State University's W. Frank Barton School of Business, where he instructs in the Master of Science in Business Analytics (MSBA) program. His academic work focuses on the intersection of artificial intelligence and business decision-making processes. Dr. Gruetzemacher's research interests span artificial intelligence, natural language processing, forecasting methodologies, strategic foresight, and business analytics. His work examines how emerging AI technologies can enhance scientific research productivity and business decision frameworks. He has particular expertise in analyzing AI development trajectories and their practical applications. His recent scholarly output demonstrates strong trends in analyzing AI progress, with particular attention to natural language processing advancements, DeepMind's contributions to the field, and frameworks for assessing meaningful AI development. His work bridges theoretical AI concepts with practical business applications, especially in decision support systems. Dr. Gruetzemacher currently leads research funded by the Alfred P. Sloan Foundation through the grant titled 'Enhancing Scientific Research Productivity with Foundation Models,' which investigates how emerging AI technologies can transform research workflows across disciplines. His academic advising focuses on business analytics and AI applications, though specific student names aren't documented in available materials. His research methodology often combines quantitative financial analysis with qualitative assessment of technological development trajectories. Dr. Gruetzemacher maintains active research collaborations and has developed specialized workshop techniques for mapping paths to artificial general intelligence using scenario network methodologies.

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Simon SmithView profile

Senior Lecturer

Coventry UniversityUnited Kingdom

Simon Smith is a Senior Lecturer in Academic English at Coventry University's School of Humanities. With over a decade of experience teaching at universities in Taiwan and mainland China, he bridges language education with computational linguistics, focusing on corpus-based pedagogical approaches. His academic credentials include a Ph.D. in Speech Engineering from Birmingham University, an M.Sc. in Computational Linguistics from UMIST, and a B.A. in Chinese and Linguistics from the University of Leeds. Ph.D., Speech Engineering, Birmingham University M.Sc., Computational Linguistics, UMIST B.A (Hons), Chinese and Linguistics, University of Leeds Smith specializes in corpus linguistics applications for language teaching, with a particular emphasis on English for Academic Purposes (EAP), Chinese language acquisition, and computer-assisted language learning. His research explores data-driven learning methodologies, corpus query tools, and virtual learning environments like Moodle. He actively integrates web-based resources (WebQuests, VLEs) and corpus technology (Sketch Engine, SKELL) into his teaching framework. His publication record demonstrates consistent focus on corpus-based vocabulary acquisition, gap-fill test generation, and cross-cultural language learning. While his recent works (2015-2025) highlight DIY corpora development, blended learning models, and international collaborations, earlier works (2001-2009) concentrated on query type analysis, cloze test automation, and segmentation algorithms for Chinese language learning. As co-editor of the Taiwan Journal of English for Specific Purposes and co-chair of the Corpus Technologies and Applied Linguistics Conference (CTAL-2012) , he contributes to academic discourse through editorial and organizational roles. He currently supervises one PhD and one MSc/MA research student in language-related projects.

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Rasheek IrtisamView profile

Assistant Professor

Texas Tech UniversityUnited States

Rasheek Irtisam is an Assistant Professor of Finance at the Rawls College of Business, Texas Tech University. He holds a PhD in Finance from the University of Memphis (2022), an MBA from McNeese State University, and a BSc from the University of Dhaka. His expertise spans market microstructure, corporate finance, and textual analysis of corporate disclosures. Dr. Irtisam actively publishes in top-tier finance journals and conferences, including the Journal of Banking and Finance and the American Finance Association Poster Session. Research Interests: Market Microstructure: Examining transaction mechanisms and liquidity dynamics Corporate Finance: Focusing on capital structure decisions and governance practices Textual Analysis: Leveraging NLP techniques to decode investor sentiment from disclosures Teaching: He instructs Corporate Finance I, Corporate Finance II, and Finance Statement Analysis courses. His academic contributions bridge theoretical frameworks with real-world financial decision-making challenges. Grants & Labs: While no specific grants/labs are highlighted, his research portfolio indicates potential collaborations in computational finance and regulatory policy analysis.

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David F. CihakView profile

Professor

University of TennesseeUnited States

David F. Cihak serves as Associate Dean of Professional Educator Licensure and Director of the Bailey Graduate School of Education at the University of Tennessee, overseeing 100+ educator licensure programs and 130+ school district partnerships nationwide. As a Professor of Special Education, he pioneers innovative pathways like the 2020 “Grow Your Own” initiative for aspiring Tennessee educators. Ph.D. in Exceptional Children, Georgia State University (2005) M.S. in Exceptional Children, Georgia State University (2000) B.A. in Psychology, University of Colorado, Colorado Springs (1994) Teacher Certification in Emotional Behavioral Disorders, Georgia (1996) His research centers on evidence-based strategies for individuals with intellectual disabilities and autism spectrum disorders (ASD), specializing in video modeling , augmented reality , and mobile technologies to enhance educational, vocational, and social outcomes. He emphasizes positive behavioral supports and transition services for adolescents in both classroom and community settings, with particular focus on independent living skills development. Analysis of Dr. Cihak’s 2018-2025 publications reveals a dominant trajectory in assistive technology applications for disabilities, featuring smartwatch-based executive function supports , digital literacy tools , and video modeling interventions . His work consistently bridges special education and technology innovation , with accelerating emphasis on postsecondary education frameworks for students with intellectual and developmental disabilities. Dr. Cihak leads the FUTURE program, a groundbreaking post-secondary education initiative at UT for college students with intellectual and developmental disabilities. This program exemplifies his commitment to creating inclusive academic pathways through technology-enhanced curricula , peer mentorship systems , and community integration strategies that support academic, vocational, and social success in higher education environments.

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Joshua J. ThomsView profile

Professor

Utah State UniversityUnited States

Joshua J. Thoms is a Professor in the Department of World Languages and Cultures at Utah State University's College of Humanities and Social Sciences. His research focuses on technology-enhanced language learning, open educational resources, and second language acquisition. Dr. Thoms investigates digital social reading practices, open education initiatives, and hybrid teaching models in second language contexts. His pedagogical innovations focus on integrating technology to enhance language acquisition in Spanish and Chinese instructional settings. His publications demonstrate consistent focus on educational technology applications in language pedagogy. Recent work explores digital annotation tools, open educational resources, and hybrid teaching models that span both theoretical frameworks and practical classroom applications.

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Thomas DavidsonView profile

Assistant Professor

Rutgers, The State University of New JerseyUnited States

Thomas Davidson is an Assistant Professor in the Department of Sociology at Rutgers University's School of of Arts and Sciences. He received his PhD in Sociology from Cornell University in 2020 and specializes in computational sociology, with research focusing on political sociology, social movements, and digital methodologies. Dr. Davidson's research interests span three main interconnected areas: social media, populism, and far-right activism ; hate speech detection and content moderation ; and computational methodology and artificial intelligence . His work uses digital trace data from social media combined with statistical analysis and computational methods including natural language processing and machine learning. He has published extensively on how ranking algorithms shape activist opportunities, racial bias in hate speech detection systems, and the application of generative AI in sociological research. His notable scientific awards include the Eric and Wendy Schmidt Data Science for Social Good Fellowship at the University of Chicago (2016) and a Foundational Integrity Research award from Meta for experimental research on social context and hate speech judgments. His research has been featured in major media outlets including The Washington Post , Vox , New Scientist , and Wired Magazine . Dr. Davidson teaches undergraduate courses in Political Sociology, Sociology of Culture, and Data Science, and graduate courses in Computational Sociology and Statistical Methods. He has organized the first workshop on Generative AI and Sociology at Yale University and guest edited a special issue of Sociological Methods & Research on this topic. His research connects with several program areas at Rutgers including Culture and Cognition, Organizations and Networks, and Politics and Social Movements.

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