جست‌وجوی استاد و پژوهشگر

Fang Qiuمشاهده پروفایل

استاد

• Remote Sensing
• Digital Image Processing
• LIDAR Technology
• +۶ مورد دیگر

Dr. Fang Qiu is a Professor of Geospatial Information Sciences at the University of Texas at Dallas (UTD), serving in the School of Economic, Political and Policy Sciences. He holds a Ph.D. in Geographic Information Sciences from the University of South Carolina (2000), an M.S. in Geographical Information Systems from the Chinese Academy of Sciences (1993), and a B.S. in Geography with GIS emphasis from China Normal University (1990). His research focuses on remote sensing technologies, including LiDAR and hyperspectral imaging, spatial analysis, and GIS software development. Notable work includes urban forest inventory using LiDAR and hyperspectral data, and the development of web-based GIS tools such as GWASS. He has received the 2012 AAG Remote Sensing Specialty Group Early Career Paper Award for his contributions. Dr. Qiu has secured significant grants, including a $3 million NASA-funded project for Earth science data integration (2004–2009) and a Dallas Urban Forest Advisory Committee grant for tree inventory (2008–2009). He serves on editorial boards, including as Vice Chair of the AAG Spatial Analysis and Modeling Group, and has reviewed for journals like Geographical Analysis and ISPRS Journal of Photogrammetry and Remote Sensing . His professional roles include Department Head of the School of Economic, Political and Policy Sciences at UTD since 2013 and Associate Professor (with tenure) from 2006–2014. He has also held leadership positions in organizations such as the International Association of Chinese Professionals in GIS.

• Artificial Intelligence
• Data Science
• Machine Learning
• +۷ مورد دیگر

Hady W. LAUW is an Associate Professor in the School of Computing and Information Systems (SCIS) at Singapore Management University (SMU), serving as Director of the BSc (Computer Science) Programme and a Lee Kong Chian Fellow. He holds a PhD from Nanyang Technological University (2008). His research focuses on artificial intelligence, data science, machine learning, and recommender systems, with notable contributions to multimodal recommendation frameworks like Cornac and collaborative filtering techniques. He teaches advanced courses including IS712 Machine Learning for postgraduate students and CS608 Recommender Systems for MITB programme participants. His work emphasizes practical applications, such as designing explainable recommendation systems and integrating A/B testing into frameworks. Key research interests include web mining, preference learning, representation learning, and decision support systems. He has advised multiple students on topics like neural networks, collaborative filtering, and comparative analysis of reviews. Scientific achievements include the Lee Kong Chian Fellowship and over 100 publications in top venues like ACM WWW and IEEE TKDE. He actively contributes to conferences as a PC member and chairs events like PAKDD. His Cornac framework supports reproducible research in multimodal recommendations. He leads the Preferred.AI research group, fostering undergraduate and postgraduate research in computing. His work bridges theoretical advancements with industry applications, particularly in data-driven decision making and automated evaluation metrics.

• Lexicology
• Lexicography
• Morphology
• +۱۱ مورد دیگر

Cristina Tejedor Martínez is a Professor at the University of Alcalá , Department of Modern Philology . She serves as First Deputy Director of the Doctoral School and coordinates the Linguistic Analysis Research Group , focusing on lexicology, semantics, and translation terminology. Her research spans Anglicisms in Spanish , corpus pragmatics , applied linguistics , and technological tools in language education , with significant projects funded by the Spanish Ministry of Science and European Commission . She has directed studies on tourism language , medical terminology , and dictionary training in pedagogy. Key projects include PRAGMACOR (2022-2026) (corpus pragmatics in telephone interpretation) and Organic.Lingua (2011-2014) (multilingual web portal for agricultural education). She advises PhD students like Soraya García Esteban and collaborates with researchers across Europe. Her publications (15+ peer-reviewed articles) analyze semantic borrowing , machine translation , color metaphors , and neologisms in specialized domains , reflecting her interdisciplinary approach at the intersection of language, technology, and culture.

• Linguistics
• Cognitive Linguistics
• Corpus Linguistics
• +۴ مورد دیگر

Jane Klavan is an Associate Professor of English Language at the University of Tartu's Faculty of Arts and Humanities and Head of the Centre for Learning and Teaching (0.8 FTE). She holds a PhD in General Linguistics from the University of Tartu (2012) and has over 15 years of academic experience in linguistics, teaching, and research administration. Her primary research focuses on corpus linguistics, cognitive linguistics, and morphosyntactic alternations in Estonian, with a focus on case systems and construction grammar. Education: PhD in General Linguistics (2012), MA in English Philology (2008), BA in English Philology (2005), all from University of Tartu Her research explores interdisciplinary approaches to language analysis, including experimental methods and digital humanities. She has published extensively on Estonian syntax, corpus-based studies, and cognitive linguistics principles. Klavan also leads national and institutional initiatives in digital humanities and language education, serving on editorial boards of journals like Cognitive Linguistics and Applied Linguistics . Her awards include the University of Tartu Teaching Award (2022) and being named among Estonia's Top 10 Lecturers (2021). She has managed research projects totaling over €200k, focusing on language modeling and educational innovation.

Zhang Yanمشاهده پروفایل

استاد

• Internet of Vehicles
• Smart grid
• Mobile edge computing
• +۴ مورد دیگر

Zhang Yan is a Full Professor at the Department of Informatics, University of Oslo, Norway. He previously served as Head of Department and Chief Scientist at Simula Research Laboratory (2014–2016). His research focuses on advanced communication technologies including Internet of Things (IoT), 5G/6G networks, mobile edge computing, and blockchain applications. He has held significant roles such as IEEE VTS Distinguished Lecturer (2016–2020) and Chair of IEEE TCGCC (2019–2021). His honors include IEEE Fellow (2020), election to Academia Europaea (2020), and recognition as a Web of Science Highly Cited Researcher (2018–2019). Research interests span interdisciplinary areas like network dynamics, socio-economic systems, and algorithmic design. His work bridges theoretical foundations with practical applications in smart grids, vehicular networks, and global trade systems. Recent publications emphasize network science methodologies applied to economic complexity and information diffusion. Professional contributions include editorial roles for top journals and leadership in EU-funded projects. His awards reflect impactful contributions to both technical innovation and scientific leadership in informatics and communications.

Scott Wysongمشاهده پروفایل

دانشیار

• Branding
• Customer Service
• Sports Marketing
• +۳ مورد دیگر

Scott Wysong is an Associate Professor of Marketing at the Gupta College of Business, University of Dallas. He holds a PhD and MBA from the University of Texas at Arlington, and a BA in Economics from Vanderbilt University. His research focuses on branding, customer service, and sports marketing, with notable work exploring mega-event volunteer satisfaction, brand personality, and environmentally friendly sports venues. He has conducted research for over 100 firms, including economic impact studies for major events like the Taylor Swift '1989' Concert and Garth Brooks concerts. Education: PhD and MBA in Marketing, University of Texas at Arlington BA in Economics, Vanderbilt University His research interests span branding strategies, customer engagement in retail environments, and the intersection of sports events with fan satisfaction and sustainability. Recent work emphasizes innovative teaching methods, such as simulations in business courses to enhance student engagement. Dr. Wysong is an active member of the International Association of Venue Managers (IAVM) since 2002 and has prior experience as Director of Operational Audits for Osteopathic Health System of Texas. His publications highlight trends in experiential learning, sports venue management, and cross-cultural SME financing. Though no formal awards are listed, his contributions to applied marketing research and industry collaborations underscore his scholarly impact. Teaching focuses on foundational marketing principles and capstone consulting projects, emphasizing real-world applicability. Dr. Wysong advises students through courses like MARK 5F50 (Foundation of Marketing) and BUAD 8390 (Capstone Consulting). His research partnerships include economic impact analyses for festivals, sports events, and concerts, demonstrating a commitment to bridging academic research with practical industry needs.

• Educational Technologies
• Communication and Educational Technologies
• Teacher Training
• +۷ مورد دیگر

Ana Maria Bastos is an Assistant Professor in the Department of Education and Psychology at the School of Humanities and Social Sciences, University of Trás-os-Montes and Alto Douro (UTAD), Portugal. She is also affiliated with the CIIE (Centre for Research and Innovation in Educational Development) at the Faculty of Psychology and Educational Sciences, University of Porto. Her work bridges academic research and practical educational innovation. PhD in Educational Sciences, UTAD Master's in Education/Educational Technologies, University of Minho Her research focuses on Educational Technologies , Teacher Training for Basic Education , and Pedagogical Project Development . She explores how digital tools like blogs, Web 2.0 platforms, and programming environments (e.g., Scratch) enhance teaching and learning. Her work emphasizes formative assessment, supervised teaching practice, and curriculum articulation between pre-school and primary education. Her recent publications (2020–2023) reflect a strong interest in distance education during the pandemic , social media’s role in student behavior , and the integration of digital platforms in language and science education . The articles show a consistent focus on practical implementation, teacher training, and student engagement in diverse educational contexts. She is a peer reviewer for several academic journals, including the Portuguese Journal of Education and the Journal of AISTI, and is a member of the research unit Professor Faz a Diferença (Registration no. 3348/2013). She has contributed to national and international projects such as the ERASMUS+ TeachersMOD project, aimed at modernizing teacher training in Kurdistan, and the Step by Step with Science initiative funded by Ciência Viva. An active researcher, she has published extensively in journals, books, and conferences, with a career spanning over two decades. Her work demonstrates a sustained commitment to improving educational quality through technology integration and reflective teaching practices.

• Business Process Management
• Predictive Analytics
• Machine Learning
• +۳ مورد دیگر

Ilya Verenich is a Researcher at Queensland University of Technology (QUT), known for his work in Business Process Management and Predictive Analytics. He completed his PhD in 2018 with a thesis titled 'Explainable predictive monitoring of temporal measures of business processes.' His research focuses on developing machine learning and AI-driven tools for predictive process monitoring, such as the Apromore platform and Nirdizati web tool. Collaborations with international experts like Marlon Dumas and Marcello La Rosa highlight his contributions to process mining, workflow optimization, and predictive modeling. His work bridges computer science, data mining, and business systems, addressing challenges in real-time process analysis, resource allocation, and anomaly detection. Key areas of expertise include temporal process analysis, LSTM neural networks for sequential data, and minimizing operational waste through predictive activity ordering. He has published extensively in top-tier conferences like CAiSE and BPM, with topics ranging from white-box process performance prediction to symbolic sequence clustering for process monitoring. His interdisciplinary approach combines theoretical frameworks with practical applications in industries requiring efficient workflow management.

• Science Education
• STEM Education
• Teacher Education
• +۱۲ مورد دیگر

Şule ELMALI is an Assistant Professor in the Department of Mathematics and Science Education at the Faculty of Education, Sakarya University. She is actively involved in teaching and research, focusing on science education, STEM education, teacher training, and educational technology. Her work bridges theory and practice, contributing significantly to pedagogical development in science education. Research Interests: Her research spans science education, environmental education, STEM integration, reflective thinking, and the use of technology in teaching. She investigates how pre-service teachers understand ecological concepts, engage with dissection methods, and develop self-efficacy in biology. She also explores outdoor education, nature-based learning, and the role of Web 2.0 tools and mobile applications in science instruction. Her studies often focus on conceptual development in early childhood, such as understanding floating and sinking, and on curriculum analysis and professional development for in-service teachers. Publication Trends: Her recent publications (2021–2024) show a strong focus on innovative teaching methods, including virtual dissection, STEM applications, and technology-based professional development. She frequently collaborates with colleagues on studies involving teacher perceptions, curriculum evaluation, and the impact of nature programs on gifted students and teacher candidates. Her work appears in both international and national peer-reviewed journals, reflecting a commitment to scholarly dissemination. Scientific Awards: TÜBİTAK Publication Incentive Award Advising and Grants: While specific student advisees are not listed, her involvement in thesis management and research projects indicates active mentoring. She has led and participated in research projects such as the development of in-service training programs for science teachers at science and art centers, focusing on innovative technology applications. These projects reflect her dedication to improving science education through evidence-based practices and teacher support. Labs, Teams, and Projects: She is associated with research initiatives like 'Aynada Bir Bilim İnsanı Görüyorum' and 'Fen Bilimleri Öğretmenleri Bilim Merkezinde,' which aim to enhance science identity and teacher engagement in science centers. Her collaborative work with researchers such as Fatime Balkan Kıyıcı, Canan Laçın Şimşek, and Şenol Beşoluk highlights her integration into active research teams focused on educational innovation and teacher development.

Mateusz Zawadzkiمشاهده پروفایل

استادیار

• Historical GIS (HGIS)
• Spatial Humanities
• Old-Polish communication networks
• +۳ مورد دیگر

Mateusz Zawadzki is an Assistant Professor at the Department of Geomatics and Cartography, Faculty of Earth Sciences and Spatial Management, Maria Curie-Skłodowska University (UMCS). He holds a Ph.D. in Geography (2019, UMCS) and an MA in History (2011, KUL). His career spans roles at UMCS (2017–present), GIS-Expert Sp. z.o.o. (2012–2017), and leadership in the "GIS across the border" research team (2013–2014). Education: Ph.D. in Geography (UMCS, 2019), MA in History (KUL, 2011) Employment: Assistant Professor (UMCS, 2021–present), Research Associate (UMCS, 2017–2021) His research focuses on Historical GIS (HGIS), Spatial Humanities, and reconstruction of Old-Polish communication networks using Web-GIS tools. He has contributed to digital repositories like Polegli1939.pl , analyzed 19th-century Polish military cartography, and explored WWII impacts on Białowieża Forest through interdisciplinary lenses. Recent publications address methodological challenges in multi-sheet historical map georeferencing and metadata frameworks for post-Paris Peace Conference boundary studies. He teaches GIS procedures, Web-GIS applications, and coordinates geoinformatics studies at UMCS. As a consultant for the "GIS in history" Dialog project (2018–2020) and coordinator of the DARIAH-PL digital infrastructure initiative (2021–2024), he bridges geospatial technology with humanities research. Collaborative works include Roman artifact mapping in Krajna region and 3D archaeological site modeling.

Muriel Waterlotمشاهده پروفایل

استادیار

• Translation Didactics
• Intercultural Communication
• Phraseology
• +۴ مورد دیگر

Dr. Muriel Waterlot serves as an Assistant Professor at the Department of Dutch Language and Literature within the Faculty of Humanities at the John Paul II Catholic University of Lublin. Her research focuses on translation didactics , intercultural competence , and contrastive linguistic analysis between Polish, Dutch, and Flemish contexts. Supervised 18+ diploma theses on topics like Zeeuws dialect preservation, Dutch-English modal verbs, and Polish-Dutch phraseological units Contributed to translation theory through publications and presentations at international conferences including TransELTE and THERMOS Active in editorial and expert councils for academic journals and PhD programs Her recent work explores terminological variants in Polish-Dutch-French contexts , multilingual translation approaches , and pedagogical models for foreign language teaching . She advocates for task-based translation methodologies and cross-cultural business communication frameworks. Key projects involve EU-funded initiatives like Language in Business – Business in Language (Erasmus+) Developed the Waterlot Model for tourism web-text translation Coordinated international translation education programs

• Logic Programming
• Knowledge Representation
• Artificial Intelligence
• +۶ مورد دیگر

Bart Bogaerts is an Associate Professor in the Department of Computer Science at KU Leuven's Faculty of Engineering Science. He is affiliated with the Declarative Languages and Artificial Intelligence (DTAI) research unit and is a member of Leuven.AI - KU Leuven Institute for Artificial Intelligence. Bogaerts serves on the Council of the Faculty of Engineering Science as senior academic staff and participates in the Programme Committee for Artificial Intelligence curriculum development. His research focuses on foundational aspects of logic programming and knowledge representation, with particular expertise in approximation fixpoint theory, higher-order logic programming, and non-monotonic reasoning. Bogaerts investigates the theoretical underpinnings of stable model semantics, justification frameworks, and executable query languages. His work bridges theoretical computer science with practical applications in artificial intelligence and knowledge-based systems. Bogaerts' publication record demonstrates consistent contributions to top venues in logic programming and artificial intelligence. His recent work shows increasing focus on category-theoretic approaches to approximation theory, distributed web traversal specifications, and certified model expansion techniques. The publications reveal a strong emphasis on formal methods with applications spanning from theoretical mathematics to practical AI systems. As a promotor for multiple significant research projects, Bogaerts leads investigations into certified answer set programming (CertifASP), first-order model expansion (CertiFOX), proof generation for combinatorial optimization, distributed configuration problems, and knowledge integration paradigms. These projects, funded through 2028-2029, demonstrate his leadership in advancing the theoretical foundations of AI and logic programming. Bogaerts is actively involved in teaching courses on knowledge representation and reasoning, contributing to the development of next-generation AI researchers. His work within the DTAI research unit positions him at the forefront of declarative AI approaches in Belgium's leading research university.

Stefania Spinaمشاهده پروفایل

استاد

• Corpus Linguistics
• Linguistics
• Glottology
• +۱۲ مورد دیگر

Stefania Spina is a Full Professor of Glottology and Linguistics at the University of Perugia for Foreigners, affiliated with the Department of Italian Language, Literature, and Arts in the World (LILAIM). She has held this position since August 1, 2020, and is actively engaged in research, teaching, and academic leadership. Her work focuses on corpus-based linguistic analysis, particularly in the context of Italian as a second language. Her research interests include corpus linguistics, second language acquisition, learner corpus development, phraseology, discourse analysis of media and academic texts, text complexity assessment, and computational processing of linguistic data. She has created several influential linguistic resources, such as the Perugia Corpus, Corpus of Spoken Italian (CIP), and learner corpora including LOCCLI, COLI, and CELI. She also developed MALT-IT2, a web tool for automated text difficulty classification aligned with CEFR levels. Her recent publications reflect a strong engagement with contemporary language trends, digital humanities, and media discourse. Topics include the lexical impact of AI, metaphor in political journalism, and the evolution of public language. A central theme across her work is the application of corpus methods to understand how language functions in educational, media, and technological contexts. She is the principal investigator of the PRIN 2022 project DICI-A, which aims to build a digital collocation dictionary for Italian L2 learners, in collaboration with computer scientists. Her teaching portfolio includes courses in sociolinguistics of new media, corpus linguistics, and digital humanities. She maintains an active public intellectual presence through her blog (now hosted on Substack) and social media. Email: stefania.spina@unistrapg.it Twitter: @sspina She supervises academic projects and leads research teams but no individual students are named in the provided texts. There are no mentions of scientific awards or grants beyond the PRIN project. She works in digital environments, utilizing tools like Python and AI for linguistic analysis, and contributes to the development of language technologies for education and research.

August Blackمشاهده پروفایل

استادیار

• Philosophy of Technology
• Software Studies
• Techno-Politics
• +۶ مورد دیگر

August Black is an Assistant Professor in the Department of Critical Media Practices at the University of Colorado Boulder. As a hybrid practitioner of art, design, and engineering, he creates experimental spatial and acoustic systems by building custom technological artifacts. His work critically engages techno-social systems through live networked audio, user-generated content, and immersive installations. BFA, Syracuse University MS & PhD, UC Santa Barbara (NSF IGERT Fellow) His research explores the intersection of philosophy of technology, software studies, and AI ethics. Current projects investigate global networking for hyper-local communication, while past work includes networked radio systems and generative audio-visual platforms. He has taught at UC Santa Barbara, University of San Francisco, and CU Boulder. Recent projects include Pulse Memorial (2024), a mobile multichannel memorial system, and Audio Compost (2022), a virtual frippertronic loop project. His work often incorporates WebRTC, FM radio integration, and participatory frameworks across digital and physical environments. NSF IGERT Fellow Black has advised PhD candidate Nima Bahrehmand and collaborated with institutions like ORF Kunstradio, Ars Electronica Futurelab, and Cycling '74. His practice includes software development (janode library for Janus WebRTC), hardware engineering, and exhibitions at festivals including Ars Electronica and SIGGRAPH.

Ryan Wagnerمشاهده پروفایل

استادیار

• Nanomechanics
• Optomechanics
• Scanning Probe Microscopy
• +۵ مورد دیگر

Ryan Wagner is a Research Assistant Professor in the School of Mechanical Engineering at Purdue University. He holds a B.S. (2008) and Ph.D. (2014) in Mechanical Engineering from Purdue University, with a minor in Physics. His research focuses on nanotechnology, microscopy, metrology, and dynamics, with applications in optomechanics and micro/nanotechnology. He has held postdoctoral positions at the National Institute of Standards and Technology (NIST) and Asylum Research, specializing in atomic force microscopy (AFM) instrumentation and optomechanical force standards. Education: B.S. in Mechanical Engineering, Purdue University (2008) Ph.D. in Mechanical Engineering, Purdue University (2014), Thesis: Advanced AFM Techniques for Cellulosic Nanomaterials Research Interests: Nanomechanics and optomechanics AFM-based material characterization Development of force/mass standards using optical cavities Biomedical applications of nanotechnology Articles Trends: Recent work emphasizes optomechanical systems, precision measurements in AFM, and interdisciplinary applications in biomedicine and materials science. Publications span Nature , Proceedings of the National Academy of Sciences , and Optics Express . Awards: National Research Council Postdoctoral Fellowship (2014) Office of Naval Research Summer Faculty Fellowship (2021) Charles C. Chappelle Fellowship (2009) Advising/Grants: Active in mentoring graduate students and securing grants for interdisciplinary projects. His lab focuses on applying vibration dynamics to multiphysics problems in collaboration with industry and national labs. Labs/Teams: Leads research in optomechanical force standards and AFM instrumentation development at Purdue’s School of Mechanical Engineering.