جستجوی استاد راهنمای دانشگاهی

PK Langshawمشاهده پروفایل

استاد

• Social Design
• Research-Creation
• Media Arts
• +۸ مورد دیگر

Dr. PK Langshaw is a Full Professor in the Department of Design and Computation Arts at Concordia University's Faculty of Fine Arts, and a Fellow of the Loyola College for Diversity & Sustainability. With over three decades at Concordia University (1987-present), including chairing her department from 2001-2006 and 2015-2018, she leads the D_verse Lab which investigates poetic intersections of biophilic design, feminist technology critique, and sustainable innovation in media arts. MFA from Université de Québec Montréal (2002) Current research focuses on social design, textile materiality, and urban futures through projects like Wild Cities and Community Masks Her work spans textile fabrication , multimedia performance , and interdisciplinary sustainability , with recent projects including: 2023 In.site symposium on cross-disciplinary sustainability 2022 Community Masks project during pandemic 2022 Wild Cities book series for interspecies design 2022 Parachute garment transformations 2014-2016 Urban Reverse Dress studies Scientific recognition includes: 2013 Loyola College Fellowship 2005 Seed grant for arts-engineering collaboration 2003 FQRSC $153,750 team grant 2014 Outstanding Contribution to Student Life Award Mentoring 6+ CUSRA-funded students since 2016, she pioneered D_verse lab's sensor-controlled environments and Remove Before Flight garment series, while serving on Concordia Volunteer Abroad Board (2012-2016) and leading Faculty of Fine Arts' sustainability subcommittee (2017-2020) that shaped university-wide SDG implementation strategies.

Patrick Dennyمشاهده پروفایل

دانشیار

• Computer Vision
• Automotive Systems
• Medical Imaging
• +۳ مورد دیگر

Patrick Denny is an Associate Professor at the University of Limerick, affiliated with the Department of Computer Science & Information Systems, the Centre for Sustainable Digital (Re)Manufacturing, and Lero – the Research Ireland Centre for Software. His research focuses on computer vision, automotive systems, and medical imaging, with notable contributions to object detection, instance segmentation, and image processing in autonomous vehicles and healthcare. He holds patents in automotive camera systems and has authored over 38 research papers. His work addresses challenges such as rain impact on automated vehicle perception, medical image classification using graph neural networks, and optimizing camera exposure for automotive applications. He collaborates extensively on projects involving V2X communications and intelligent transportation systems. Denny’s research also extends to waste management through computer vision and medical imaging innovations. Patents: Over 10 patents in automotive imaging, including systems for calibrating image-capturing devices and thermal infrared sensors. Key Research Themes: Automotive perception, computer vision algorithms, medical image analysis, and sensor optimization. He actively engages in interdisciplinary projects, combining machine learning with real-world applications in transportation and healthcare.

Mustafa Ocalمشاهده پروفایل

استاد آموزشی

• Artificial Intelligence
• Natural Language Processing
• Data Science
• +۴ مورد دیگر

Mustafa Ocal is an Assistant Teaching Professor in the Department of Computer Science at Florida International University (FIU), part of the College of Engineering and Computing. He holds both a PhD (2022) and MS (2021) in Computer Science from FIU, focusing on Artificial Intelligence and Natural Language Processing. His research emphasizes temporal analysis, TimeML, and timeline extraction, leading to publications, patents, and software libraries like pyTLEX and jTLEX. Education: Ph.D., Computer Science, Florida International University (2022) M.S., Computer Science, Florida International University (2021) Research Interests: Ocal’s work centers on AI applications in temporal analysis, including automated timeline extraction, TimeML corpus validation, and narrative duration estimation. His contributions address core challenges in natural language processing and data science, with applications in computational linguistics and information extraction. Publications reflect a focus on temporal modeling, corpus evaluation, and algorithm development. His work spans theoretical advancements in timeline extraction to practical tools like Python/Java libraries. Notable Achievements: Holds a US patent for an AI model and co-authored a Cambridge University Press book. His research has been recognized through peer-reviewed articles at top conferences and publishers. Teaching & Mentoring: Ocal actively mentors students at both undergraduate and graduate levels, emphasizing effective communication of complex AI concepts. He teaches across various universities, contributing to the next generation of computer scientists.

• Database Management Systems
• Query Processing and Optimization
• Approximate Query Processing
• +۶ مورد دیگر

Dr. Feng (George) Yu is an Associate Professor of Computer Science and Information Systems at Youngstown State University in Youngstown, Ohio. He serves as the Campus Champion of NSF Extreme Science and Engineering Discovery Environment (XSEDE) at YSU and has been collaborating with XSEDE and Pittsburgh Supercomputing Center since 2014 to bring national workshop series on High-Performance Computing to YSU. Ph.D. in Computer Science, Southern Illinois University (2013) M.S. in Pure Mathematics, Shandong University (2008) B.S. in Information and Computation Science, Northeastern University (2005) Dr. Yu's primary research focuses on database management systems, particularly Approximate Query Processing (AQP) for big data analytics. His work spans multiple areas including Cloud Computing , Blockchain , NoSQL Databases , and Bioinformatics . His recent research has centered on error assessment for AQP using bootstrap sampling techniques, as evidenced by his 2024 publications AQPrius and Error Assessment for Multi-Join AQP . He has also made significant contributions to plant genomics through alternative splicing analysis in various crops. His publication trends show a consistent focus on query processing and optimization, with a recent shift toward more sophisticated error estimation techniques in approximate query processing. His work bridges theoretical database research with practical applications in bioinformatics and educational technology, as seen in his 2024 paper on computing curriculum accessibility for students with ASD. Best of QUEST 2024 Finalist (Faculty Advisor) Research Professorship (2023, 2022, 2019, 2018) Distinguished Professor in Scholarship (2020) Best Paper Award at International Conference on Software Engineering and Data Engineering (2019) Faculty Membership in The Honor Society of Phi Kappa Phi (2022) Dr. Yu actively mentors undergraduate researchers, having advised students including Govardhan Gula for the BEST of QUEST project on accelerating bootstrap resampling, and led a CREU-funded project on recommender systems with undergraduate researchers Alyssa Adams, Olivia Bindas, Maddie Cope, and Elizabeth Durflinger. His research has been supported by external funding sources including Amazon Inc. and the Computer Research Association. He directs the YSU Data Lab , which focuses on data-oriented sciences and operates multiple high-performance research clouds including Sarah Cloud and YSU STEM Cloud. The lab conducts cutting-edge research in approximate query processing, blockchain, and heterogeneous cloud infrastructure.

Matt Wrightمشاهده پروفایل

مدرس

• Computer Music
• Acoustics
• Music Technology
• +۷ مورد دیگر

Matt Wright is a Lecturer at Stanford University's Center for Computer Research in Music and Acoustics (CCRMA), specializing in media systems design and computer music research. He previously served as Musical Systems Designer at UC Berkeley's CNMAT (1993-2008) and Research Director at UCSB's CREATE center for eight years. His work focuses on real-time music synthesis, sound standards (SDIF/OSC), and computational ethnomusicology. He holds a PhD from Stanford CCRMA on musical rhythm perception, and contributed to the AlloSphere immersive audiovisual instrument. Education: PhD in Computer-Based Music Theory from Stanford University (completed at CCRMA). Earlier studies include training in traditional lutes and Afro-Brazilian percussion. Research interests bridge technology and music: developing tools for musical gesture analysis, sound synthesis, and cross-cultural music analysis. His recent work also involves genomic data platforms (ClinGen) for clinical variant curation, reflecting a dual focus on computational music and bioinformatics. Publications emphasize both music technology (e.g., EEG studies of piano duets) and genomics (e.g., ClinGen variant curation tools). He has advised students in electronic arts and contributed to genetic disease research through collaborative frameworks like ClinVar. Labs/Teams: Lead the CREATE Ensemble (technology-driven live performance) and contributed to the AlloSphere research instrument at UCSB's CREATE center.

Emma Rhatiganمشاهده پروفایل

مدرس

• Early Modern Literature
• Sermon Studies
• Political Culture
• +۴ مورد دیگر

Dr Emma Rhatigan is a Lecturer in Early Modern Literature at the University of Sheffield’s School of English. Her research focuses on 16th- and 17th-century literature, particularly early modern sermons, examining their intersections with political, religious, and performance cultures in early modern London. She is currently editing John Donne’s Inns of Court sermons for the Oxford Edition of the Sermons of John Donne, providing the first fully annotated text of these works. She also explores connections between theatrical and pulpit cultures. PhD supervision: Welcomes students in early modern literature, sermon studies, and related fields. Teaching: Convenes modules like 'John Donne' and contributes to 'Renaissance to Revolution', 'Shakespeare', and MA courses on early modern literature and book history. Location: Based in Jessop West, contactable via e.k.rhatigan@sheffield.ac.uk. Her research highlights include analyzing sermon performance, liturgical rhetoric, and the interplay between religious and political discourses. Recent work examines textual editing methodologies, scribal practices, and spatial contexts of preaching. Publications span edited volumes, journal articles, and chapters in collections like The Oxford Handbook of the Early Modern Sermon and Early Modern Literature in History . Her work bridges literary analysis with historical and material cultural approaches.

Ileana Pérez-Rodríguezمشاهده پروفایل

استادیار

• Biogeochemistry
• Geomicrobiology
• Paleobiology/Geobiology
• +۳ مورد دیگر

Ileana Pérez-Rodríguez is an **Assistant Professor** in the **Department of Earth and Environmental Science** at the **University of Pennsylvania**, affiliated with the School of Arts & Sciences. Her research focuses on **biogeochemistry**, **geomicrobiology**, and **microbial ecology**, particularly in extreme environments such as deep-sea hydrothermal vents and continental sedimentary systems. She integrates experimental and computational approaches to study microbial-mineral interactions, metabolic pathways, and their biogeochemical implications. Education: Ph.D. in Microbial Ecology, Rutgers University (2012) B.S. in Biology, University of Puerto Rico (2005) Research Interests: Ecophysiology and bioenergetics of chemolithoautotrophic organisms Iron and sulfur cycling in marine and terrestrial ecosystems Isotope-based tracing of biogeochemical processes Microbial adaptation to high-pressure and thermophilic environments Her work explores **habitat habitability** in astrobiological contexts and **elemental cycling** in Earth’s subsurface. She teaches courses such as *GEOL 125: Earth and Life Through Time* and collaborates on programs like the Community College Cultivation Cohort (C4) REU Program. Her research has advanced understanding of microbial roles in biogeochemical cycles and planetary habitability.

Rolf Danielمشاهده پروفایل

استاد

• Metagenomics
• Metatranscriptomics
• Microbial Genomics
• +۴ مورد دیگر

Prof. Dr. Rolf Daniel is Full Professor of Genomic and Applied Microbiology at the University of Göttingen, heading both the Department of Genomic and Applied Microbiology and the Göttingen Genomics Laboratory since 2012. He serves as Speaker of the North German Center of Microbial Genomics (NZMG) and previously directed the Institute of Microbiology and Genetics (2012-2016). His research pioneers cultivation-independent metagenomics and metatranscriptomics of environmental microbial communities from soil, sediments, ice, and biofilms. The lab employs dual function-based/sequence-based approaches to discover novel enzymes (proteases, cellulases, lipases) and genes, while conducting whole-genome sequencing of archaea/bacteria with industrial or pathogenic relevance. They also develop specialized bioinformatic tools for genomic data analysis and visualization. Recent publications reveal strong interdisciplinary trends: environmental microbiome responses to land-use changes (2018), viral genome evolution studies, and novel enzyme characterization from metagenomic libraries, spanning environmental science, medical microbiology, and industrial biotechnology. Scientific recognition includes: Norddeutscher Wissenschaftspreis (Northern German Science Award, 2013) No explicit details on student advising or grant funding were documented in source materials. Prof. Daniel directs the Göttingen Genomics Laboratory and the North German Center of Microbial Genomics (NZMG), driving collaborative research in microbial genomics across regional institutions through the GGNB graduate programs in Microbiology, Molecular Biology, and Genome Science.

• Plant Lipid Biotechnology
• Oilseed Crops
• Oleaginous Microorganisms
• +۴ مورد دیگر

Guanqun (Gavin) Chen is an Associate Professor and Canada Research Chair (Tier II) in Plant Lipid Biotechnology at the University of Alberta's Faculty of Agricultural, Life and Environmental Sciences. His research focuses on enhancing seed oil production and customization in oilseed crops like canola and arabidopsis, alongside exploring lipid biotechnology in microorganisms such as yeast and microalgae. He holds a PhD from The University of Hong Kong and has received prestigious awards including the 2023 C.D. Nelson Award in Plant Biology and a Fulbright Scholar Award. His academic career includes teaching courses such as Lipid Science (AFNS 414/514) and Plants for Bioproducts (AFNS 545/PL SC 345). Research interests center on lipid biosynthesis mechanisms, metabolic engineering strategies, and improving agronomic traits like stress tolerance and seed quality. Key projects involve synthetic biology approaches to produce specialty oils and high-value bioproducts. Dr. Chen's lab (plb.ualberta.ca) actively seeks research students and has published extensively on topics ranging from CRISPR-mediated gene editing in plant immunity to novel methods for lipid analysis. He leads efforts to leverage microbial systems for sustainable biofuel production and value-added biomolecules, contributing to Canada's agricultural and biotechnology sectors.

Anna Gibsonمشاهده پروفایل

دانشگاهی

• Victorian Literature
• Nineteenth-Century British Fiction
• Narrative Form and Formalism
• +۴ مورد دیگر

Anna Gibson is an Assistant Teaching Professor and Coordinator of the Introduction to Humanities & Social Sciences program at North Carolina State University's Department of English. She specializes in Victorian literature, narrative form, and digital humanities. Her research explores the relationship between Victorian novel form and modern psychological theories, co-directing the Digital Dickens Notes Project—an interactive platform analyzing Charles Dickens' working notes. She holds a Ph.D. from Duke University (2014) and an M.A. from Exeter University (2006). Dr. Gibson is recognized for her teaching excellence, including induction into NC State's Academy of Outstanding Teachers (2023) and multiple teaching awards. She actively collaborates with DELTA to integrate social annotation tools like Perusall into pedagogy, enhancing student engagement in online and hybrid courses. Her work also focuses on student wellness and academic transition support through the HSS 120 introductory course. Research interests include the Victorian novel’s impact on psychological discourse, serial publication practices, and the application of digital tools to literary analysis. She has presented widely at conferences such as NAVSA and the Victorians Institute, addressing topics like Dickens’ creative process and anti-racist teaching strategies. Upcoming projects include monographs on Dickens’ seriality and the role of novel form in shaping psychological thought. Her service roles include advisory positions with the North American Victorian Studies Association and former membership on the Dickens Society Board. She advocates for interdisciplinary collaboration, evidenced by co-authored publications and panel discussions on AI in education and mental health support for students.

Yang Janet Liuمشاهده پروفایل

استادیار

• Computational Linguistics
• Natural Language Processing
• Discourse Analysis
• +۵ مورد دیگر

Yang Janet Liu is an Assistant Professor in the Department of Linguistics at the University of Pittsburgh. Previously, she was a Postdoctoral Researcher at the MaiNLP research lab at the Center for Information and Language Processing (CIS) at LMU Munich, where she was also affiliated with the Munich Center for Machine Learning (MCML). Dr. Liu earned her Ph.D. in Computational Linguistics from the Department of Linguistics at Georgetown University. During her doctoral studies, she was advised by Amir Zeldes and was a member of both Corpling@GU and Computational Linguistics @ Georgetown (GUCL) research groups. She was also a student research affiliate of NERT, directed by Nathan Schneider. Her research focuses on tackling text variation in NLP, studying model internals for discourse-level linguistic phenomena and generalization, and analyzing discourse-level phenomena across genres using computational, statistical, and corpus-based methods. She investigates NLP applications involving discourse structure and understanding, particularly summarization for genre-diverse texts. Dr. Liu is also deeply involved in cross-framework discourse understanding and unifying discourse resources, having co-organized the DISRPT shared task. Her work extends to multilingual annotation projects involving discourse-level phenomena. Dr. Liu's recent publications demonstrate a consistent focus on discourse analysis, multilingual capabilities, and genre diversity in NLP. Her work bridges theoretical linguistics with practical NLP applications, particularly in discourse parsing, summarization, and multilingual generalization. She has made significant contributions to creating diverse datasets for discourse analysis and understanding the limitations of current discourse parsing systems. Dr. Liu is actively involved in the academic community, having co-organized workshops such as the First Workshop on Bridging NLP and Public Opinion Research at COLM 2025. She regularly presents her work at major NLP conferences including ACL, EMNLP, and INLG. Dr. Liu maintains connections with her previous institutions and collaborators, including her postdoctoral advisor Prof. Dr. Barbara Plank at LMU Munich and her doctoral advisor Amir Zeldes at Georgetown University. Her work continues to build on the foundation established during her time at these institutions.

Dominik Kopczynskiمشاهده پروفایل

پژوهشگر

• Lipidomics
• Mass Spectrometry
• Metabolic Pathways
• +۳ مورد دیگر

Dominik Kopczynski is a researcher affiliated with the Department of Analytical Chemistry at the Faculty of Chemistry. His work focuses on lipidomics, mass spectrometry, and the development of bioinformatics tools for lipid structure analysis and experimental standardization. He has contributed to initiatives like the lipidomics reporting checklist and Goslin nomenclature system. Active in organizing academic events such as the de.NBI Spring School for lipidomics bioinformatics and Keystone Symposia on lipid biology, he collaborates extensively with international researchers. Research Interests: Lipid metabolism, mass spectrometry-based analytical methods, lipid nomenclature standardization, proteomics, and computational tools for omics data analysis. His work bridges biochemical experimentation with bioinformatics to enhance reproducibility and interdisciplinary collaboration in lipidomics research. Activities: Organized 36 academic events including conferences, schools, and poster sessions. Notable contributions include co-organizing the 2025 de.NBI Spring School and contributing to the Keystone Symposia on lipid cellular function and disease. Engaged in both presenting research and fostering collaborative research networks. Labs/Teams: Collaborates within the Department of Analytical Chemistry and participates in international lipidomics consortia. His work often involves cross-disciplinary teams focused on integrating biochemical and computational approaches. Grants/Advising: While specific grants are not detailed, his extensive publication record and collaborative activities suggest involvement in funded projects related to lipidomics infrastructure development and analytical method standardization.

Silke Unverzagtمشاهده پروفایل

پژوهشگر

• Historical Linguistics
• Sociolinguistics
• Register Variation
• +۳ مورد دیگر

Silke Unverzagt is a researcher at Humboldt-Universität zu Berlin's Institut für deutsche Sprache und Linguistik, focusing on register emergence and change in Germanic languages. She contributes to Project B04, investigating variation in writings by Martin Luther and Johannes Bretke. Her work emphasizes historical sociolinguistics, particularly in Old High German and Old Swedish texts. Her research involves creating and analyzing the Birgitta-Notker-Korpus (BiNoKo), a comparative corpus of historical registers. This includes Notker III's Old High German Psalms and Birgitta of Sweden's Old Swedish Revelations, annotated for sociolinguistic and functional parameters. Unverzagt's publications address intra-writer variation, corpus design, and the impact of social roles on language use. She collaborates with researchers like Phil Beier and Gohar Schnelle, focusing on methodological frameworks for historical linguistic analysis. No scientific awards are listed, but her work highlights contributions to digital humanities and historical corpus linguistics. She has not listed advisees or grants in the provided texts.

• Computer Vision
• Machine Learning
• Video Analysis
• +۵ مورد دیگر

Prof. Laura Leal-Taixé is an Associate Professor at the Technical University of Munich (TUM) leading the Dynamic Vision and Learning group. She holds the Rudolf Mößbauer Tenure Track Chair, promoted from a 2017 Tenure Track Assistant Professorship. Her work focuses on advancing computer vision and machine learning, particularly in video analysis, multi-object tracking, and autonomous systems. She received a Sofja Kovalevskaja Award (2017) for her project socialMaps, which integrates dynamic social data into traffic modeling. Education: B.Sc./M.Sc. in Telecommunications Engineering, Technical University of Catalonia (UPC), Barcelona Ph.D. in Information Processing, Leibniz University Hannover (2014) Postdoc at ETH Zurich (2014–2016), and Senior Researcher at TUM’s Computer Vision Group (2016–2019) Research Interests: Multi-object tracking and segmentation in videos Motion analysis and semantic segmentation for autonomous driving Deep learning for video understanding Social dynamics modeling in urban environments Awards & Grants: €1.65M Sofja Kovalevskaja Award (Humboldt Foundation, 2017) DAAD Australia-German Joint Research Scheme (2017) Multiple travel grants from CVPR and Women in Computer Vision Labs & Collaborations: Dynamic Vision and Learning Group at TUM Collaborations with ETH Zurich, Northeastern University, and NVIDIA

Yongqun Heمشاهده پروفایل

استاد

• Computational Medicine
• Bioinformatics
• Ontology Development
• +۸ مورد دیگر

Dr. Yongqun He is a Professor at the University of Michigan Medical School with primary affiliation in the Unit for Laboratory Animal Medicine (ULAM) and joint appointments in the Department of Learning Health Sciences and Department of Microbiology and Immunology. He holds affiliations with the Rogel Cancer Center, MIDAS, and other institutions. He earned his D.V.M. from Jiangxi Agricultural University (China) and Ph.D. in Biomedical and Veterinary Sciences from Virginia Tech (USA). His research focuses on computational medicine, ontology development, vaccinology, and microbiology. He pioneered Vaccine Informatics, developed tools like VO, Ontobee, and Ontofox, and contributed to Kidney Precision Medicine through ontologies like KTAO. He has mentored numerous students and serves on NIH review panels, international conferences, and advisory boards. His work includes over 300 publications, with recent topics on ontology-based vaccine design, AI applications, and kidney disease modeling. Education: D.V.M. (1991), M.S. Veterinary Medicine (1996), Ph.D. Biomedical Sciences (2000) from China Agricultural University and Virginia Tech. Research: Integrates AI, ontology, and bioinformatics to study vaccines, pathogens, and kidney diseases. Services: NIH grant reviewer, organizer of international ontology workshops (VDOS, CELLS), and editorial board member for journals like Frontiers in Cellular and Infection Microbiology .