جست‌وجوی استاد و پژوهشگر

Bernhard Salowمشاهده پروفایل

دانشیار

• Epistemology
• Formal Epistemology
• Philosophy of Mind
• +۳ مورد دیگر

Bernhard Salow is an Associate Professor of Philosophy and Tutorial Fellow at Magdalen College, University of Oxford. His academic journey includes a Ph.D. in Philosophy from MIT (2011–2015), a BPhil from New College, Oxford (2009–2011), and an MMathPhil from St Hugh’s College, Oxford (2005–2009). He previously held a Junior Research Fellowship at Trinity College, Cambridge (2015–2018). Salow’s research focuses on formal epistemology, particularly exploring topics like the KK principle, belief revision, and externalism. His work bridges philosophical analysis with formal methods, addressing issues in decision theory, probability theory, and epistemic risk. Recent contributions include examining iterated knowledge, the value of evidence, and normative frameworks for belief revision. His publications span journals such as Mind , Noûs , and Philosophical Studies , with a strong emphasis on rigorous theoretical exploration. He maintains an active academic blog and personal website at http://users.ox.ac.uk/~shug2406/ . Salow’s teaching responsibilities at Magdalen College involve mentoring undergraduates in Philosophy and Mathematics. His research often intersects with interdisciplinary questions in philosophy of science and cognitive science, reflecting a commitment to both theoretical depth and practical relevance.

• Phonetic variation
• Dialectal variation
• Paralinguistic variation
• +۵ مورد دیگر

Susanne Schötz is an Associate Professor of Phonetics at Lund University's Centre for Languages and Literature and a Researcher at the Lund University Humanities Lab. She is also the project manager for Cat-human communication research and a member of the LU Profile Area: Natural and Artificial Cognition. Her research focuses on phonetic variation in three main areas: dialectal variation in Swedish and other languages, paralinguistic variation related to age, emotion, attitude and health condition, and phonetic variation in human-animal communication, particularly cat-human communication. She has led several research projects including Melody in human–cat communication (Meowsic), Cat–Human Communication, and studies on Estonian Swedish and Swedish vowel articulation using articulography. Dr. Schötz teaches courses at the speech and language pathology and audiology programs at Lund University. Her work with cats has gained significant attention, including winning the Ig Nobel Prize in Biology in 2021 for research on cat-human communication. Her research output demonstrates strong trends in animal communication, particularly focusing on the acoustic properties of cat vocalizations and how humans perceive and interpret these sounds. She combines traditional phonetic analysis with innovative approaches to study cross-species communication, making significant contributions to both linguistics and animal behavior studies. Scientific Awards: The Ig Nobel Prize in Biology (2021) Årets Mäster (Master of the Year) (2020) Vetenskapssocieteten Lunds universitet (2016) Vetenskapssocieteten i Lund: Stipendium för betydande insats inom humanistisk forskning (2007) Dr. Schötz has supervised research projects and students in phonetics and human-animal communication. Her work has been supported by various research funds including MAW, SKK och Agrias forskningsfond, and the Pufendorf IAS. She is in charge of the articulographs in the Humanities Lab, which are essential for her research on speech production and articulation. She is actively involved in the Lund University Humanities Lab, contributing to its mission of interdisciplinary research in the humanities through her expertise in phonetics and communication studies.

• Logical Geometry
• History of Logic
• Epistemic Logic
• +۳ مورد دیگر

Lorenz Demey is a Research Professor in Philosophical Logic at KU Leuven's Centre for Logic and Philosophy of Science (CLPS), affiliated with the Institute of Philosophy. His work focuses on logical geometry, history of logic, epistemic logic, and modal logic. He holds advanced degrees in philosophy, logic, mathematics, and artificial intelligence from KU Leuven and Universiteit van Amsterdam. Demey's research explores Aristotelian diagrams, their cognitive and mathematical properties, and their historical applications. He has secured grants including an ERC Starting Grant, and his projects investigate topics like Kantian ethics modeling, Dutch vernacular logic, and the development of formal semantics. He actively collaborates internationally, delivering invited lectures at institutions like Xiamen University and Sun Yat-sen University. His teaching emphasizes logical theory and science communication. Notable publications include studies on dynamic epistemic logic, medieval logic diagrams, and the philosophical foundations of logical geometry. Key contributions include the Leonardi.DB ontology for Aristotelian diagrams and work on bitstring semantics for logical structures. Demey co-supervised PhD student Bart Nys and collaborates on projects like STUDIUM.AI, analyzing knowledge networks around Leuven's historical university. His work bridges historical scholarship with formal methods, contributing to both theoretical and applied research in logic and philosophy.

Mizuki Mazzottaمشاهده پروفایل

استاد آموزشی

• Second Language Acquisition
• Applied Linguistics
• Language Pedagogy
• +۳ مورد دیگر

Mizuki Mazzotta is an Assistant Teaching Professor in the Department of Russian and East Asian Languages and Cultures at Emory University, where she also serves as Japanese Language Coordinator. Her academic journey includes a Ph.D. in Applied Linguistics from Georgia State University (2018) and M.A. degrees in Linguistics (McGill University) and Applied Linguistics (University of South Florida). Her research focuses on instructed second language acquisition, particularly the role of affect and sociocultural theory in L2 learning. She has extensive experience teaching Japanese language courses and mentoring students at Emory and previous institutions like Georgia State University. Education: Ph.D., Applied Linguistics, Georgia State University (2018) M.A., Linguistics, McGill University (2005) M.A., Applied Linguistics, University of South Florida (1997) B.A., English Literature, Soka University (1995) Research Interests: Instructed Second Language Acquisition Corrective Feedback in L2 Writing Sociocultural Theory in Language Education Learner Affect and Motivation Technology-Enhanced Language Learning Cultural Awareness in Language Instruction Awards & Grants: Recipient of multiple grants including the KAKENHI Grant (Japan), Mellon Humanities Pathways Grant, and Emory College Pedagogy Mini-Grant. Member of honor societies: Phi Beta Delta and Golden Key International. Service & Leadership: Executive Committee Member, Emory College Language Center Organizer of Japanese Program Guest Speaker Talks and Cultural Events Reviewer for Language Teaching Research and other academic journals Interviewer for the Japan Exchange Teaching Program Teaching & Mentorship: Instructor of Japanese language courses at Emory and Georgia State University Developer of study abroad programs in Japan and internship collaborations Mentor for Japanese interns and temporary faculty

Sujan Kumar Royمشاهده پروفایل

عضو هیئت علمی

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۶ مورد دیگر

Sujan Kumar Roy is an Assistant Teaching Professor in the Department of Computer Science at Michigan Technological University. He holds a Ph.D. in Machine Learning with Computer Engineering and Signal Processing from Griffith University, Australia, and has earned multiple academic distinctions, including the 'Award of Excellence in the Research Thesis' and consideration for the 'Chancellor's Medal for Excellence in Ph.D. Thesis 2021.' Dr. Roy's teaching focuses on Computational Intelligence, Foundations of Data Science, Machine Learning, Data Mining, and Introduction to Data Science. His research explores applications of AI, ML, and Data Science in Cybersecurity, Medical Image Analysis, Healthcare Systems, and Speech Enhancement. He has contributed extensively to speech enhancement techniques, integrating Kalman filters with machine learning and deep learning approaches. Recent research trends in his publications emphasize the development of robust algorithms for speech enhancement in noisy environments, fusion datasets for hate speech detection, and adaptive filtering methods. His work bridges signal processing and AI, aiming to improve real-time system performance and noise robustness. Awards: Award of Excellence in the Research Thesis Consideration for Chancellor's Medal for Excellence in Ph.D. Thesis 2021 In teaching, Dr. Roy emphasizes foundational concepts and their practical applications. His grants and collaborations focus on advancing AI-driven solutions for healthcare and cybersecurity challenges. He is affiliated with the Department of Computer Science at Michigan Tech, contributing to both academic and research missions.

• Control Technology
• Distributed Optimization
• Machine Learning
• +۴ مورد دیگر

Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.

Hazel Doughtyمشاهده پروفایل

استادیار

• Video Understanding
• Computer Vision
• Action Recognition
• +۷ مورد دیگر

Hazel Doughty is an Assistant Professor at Leiden University in the Leiden Institute for Advanced Computer Science (LIACS) . Previously, she was a postdoctoral researcher at the University of Amsterdam and completed her PhD at the University of Bristol under the supervision of Prof. Dima Damen and Prof. Walterio Mayol-Cuevas. Research Interests: Video Understanding, Skill Determination, Self-Supervised Learning, Temporal Attention, and Adverb Recognition in Instructional Videos. Grants: Co-Applicant for DUAL-IMPACT (NWO High Tech Systems and Materials, €1.25M); Main Applicant for NWO Veni grant ( From What to How: Perceiving Subtle Differences in Videos , €280K). Scientific Recognition: Veni Grant (2023) ELLIS Member (2022) Outstanding Reviewer for CVPR, NeurIPS, ECCV, and ACCV Academic Service: Organizer of workshops at CVPR 2024, BMVC 2023, NCCV 2024, and NeurIPS'21. Area Chair for CVPR, ICCV, NeurIPS, AAAI. Teaching: Courses on Computer Vision (BSc) and Advances in Deep Learning (MSc) at Leiden University. Her work focuses on fine-grained video understanding with weak or incomplete supervision , including adverb analysis, self-supervised learning, and egocentric vision datasets. Her recent publications analyze benchmark sensitivity, motion-focused video-language models, and generalized category discovery. Collaborations include the HAVA lab at the University of Amsterdam and the EPIC-Kitchens-100 project. She leads the DUAL-IMPACT initiative on high-tech systems and co-organized workshops at CVPR, ICCV, and NeurIPS. Her students include PhD candidates Luc Sträter and Kaiting Liu , and former advisees like Fida Mohammad Thoker (now postdoc at KAUST) and Piyush Bagad (now PhD at Oxford).

EMİNE ERÇELEBİمشاهده پروفایل

استاد

• Food Science
• Food Engineering
• Nanoemulsions
• +۴ مورد دیگر

Prof. Dr. Emine Erçelebi is a full-time faculty member at Gaziantep University Faculty of Engineering, Department of Food Engineering . With over 25 years of academic experience, her research focuses on nanoemulsions, food preservation, and rheological properties of food systems. PhD (2007) : Food Engineering, Gaziantep University MS (2000) : Food Engineering, Gaziantep University BS (1997) : Food Engineering, Gaziantep University Her research program investigates: Stability and functionality of nanoemulsions for food applications Thermal degradation kinetics of natural food pigments Hydrocolloid effects on food rheology and texture Encapsulation techniques for bioactive compounds Physicochemical properties of fruit concentrates Recent publications demonstrate strong focus on nanoemulsions (2018-2024), fruit concentrate stability (2013-2020), and hydrocolloid applications (2016-2022). She has mentored 5 graduate students to completion and served as Domestic Erasmus Coordinator (2010-2014). Project Leadership : 2 completed research projects including a TÜBİTAK-funded study on protein-hydrocolloid systems Teaching : Delivers English-language courses in Analytical Chemistry, Instrumental Analysis, and Physical Properties of Foods (2014-2020)

• Cultural Education
• Democracy Education
• Educational Policy
• +۳ مورد دیگر

Partow Izadi is a University Lecturer at the Faculty of Education, University of Lapland. His research focuses on culturally-sensitive educational strategies and democratic education frameworks, with a regional emphasis on Lapland's unique socio-cultural context. Research Projects: Cultural-Sensitive Learning Path in Lapland (2018-2020, ESF-funded): Developed inclusive education models addressing Lapland's multicultural student population Demokratia ja ihmisoikeuskasvatus opetta (2016, Gov't-funded): Created human rights education materials for schools Research Interests: Integrating cultural responsiveness into educational practices, democracy education, and supporting youth decision-making through innovative pedagogical approaches. Grants & Funding: Successfully obtained €450k+ in project funding from EU Structural Funds and Finnish Ministry of Education since 2016. Labs/Teams: Collaborates with multidisciplinary teams including Lapland regional education authorities and Sami cultural organizations.

Lea Hellmuellerمشاهده پروفایل

دانشیار

• Global Journalism
• Journalistic Role Performance
• Media and Terrorism
• +۷ مورد دیگر

Lea Hellmueller is Associate Dean of Research in the School of Communication & Creativity and Reader (Associate Professor) in the Journalism Department at City, University of London. She is also an Affiliated Researcher with the Violence & Society Centre. Previously, she served as Assistant Professor at the University of Houston and Texas Tech University, and was a visiting professor at the University of Zurich and visiting fellow at the Reuters Institute for the Study of Journalism, University of Oxford. Dr. Hellmueller holds a Ph.D. in Economics and Social Sciences from the University of Fribourg, Switzerland, with dissertation co-supervision from the University of Missouri-Columbia. She completed postdoctoral training at the University of Texas at Austin. Her research focuses on the role of media and journalism in a globalized world, particularly in areas such as global risk journalism, transnational reporting, journalistic role performance, media and social justice, and violence & media. Fluent in multiple languages, she brings a comparative and international perspective to her scholarship. Her recent publications explore transnational journalism, digital media discourse, journalistic cultures, credibility, and terrorism coverage. The articles reflect a strong trend toward computational and comparative analysis of global media practices, emphasizing power, identity, and the transformation of journalistic norms across borders. Faculty Research Award, AEJMC (2019) Honorary Mention, ICA Journalism Studies Division (2018) Outstanding Research Award, University of Houston (2018) First Place Teaching Contest, AEJMC (2016) Top Faculty Paper, AEJMC (2016) Top Paper Award, ICA (2016) Dr. Hellmueller has secured multiple competitive grants, including from the Swiss National Science Foundation (SNF) and Fulbright. She has supervised PhD students, currently mentoring Namrata Acharya. She serves on editorial boards of Journalism Practice and International Communication Gazette , and holds leadership roles in AEJMC and ICA. She is also the North America Regional Lead for the Global Risk Journalism Hub. She is active in collaborative research networks and has contributed to major reports, including with the Reuters Institute. Her work bridges academic research, policy, and global media practices.

Salvatore Ruggieriمشاهده پروفایل

استاد

• Data Mining
• Knowledge Discovery
• Discrimination Discovery and Prevention
• +۹ مورد دیگر

Salvatore Ruggieri is a Full Professor in the Department of Computer Science at the University of Pisa, where he teaches in the Master Programme in Data Science and Business Informatics. He is affiliated with the KDD LAB, a joint research group of ISTI-CNR and the University of Pisa, and actively contributes to national and European AI initiatives such as XAI, NoBIAS, TAILOR, and SoBigData.eu. His research focuses on data mining and knowledge discovery, with a strong emphasis on ethical AI. Key areas include discrimination discovery and prevention, fairness, privacy, explainable AI (XAI), causal inference, and classification algorithms. He has led significant projects such as ENFORCE, a national FIRB project on legal and computational enforcement of non-discrimination and privacy rights in ICT systems (2010–2014), and has served as program chair for the XIII Italian Symposium on Artificial Intelligence (2014). The recent publications (2018–2023) highlight a consistent trend in interpretable and fair machine learning, including selective classification, stability of interpretable models, and causal reasoning for fairness. His work often involves collaboration with leading researchers like Dino Pedreschi and Riccardo Guidotti, and appears in top venues such as AAAI, IEEE TKDE, and WIREs. His scientific honors include the award for the best Ph.D. thesis in Theoretical Computer Science from the Italian Chapter of EATCS. Best Ph.D. Thesis in Theoretical Computer Science, Italian Chapter of EATCS He advises and collaborates with numerous researchers in the KDD LAB and has contributed to major grants and research initiatives in AI and data science. He is involved in educational programs, including the National Ph.D. in Artificial Intelligence - Society, and promotes interdisciplinary research at the intersection of computer science, law, and ethics. Ruggieri is a member of the KDD LAB, where he leads research in ethical and transparent AI. He is also part of large collaborative networks such as SoBigData.eu and HumanE-AI-Net, which aim to build socially responsible and human-centered AI systems.

• Genomic Instability
• DNA Replication and Repair
• Computational Biology
• +۵ مورد دیگر

Dr Michael Boemo is an Assistant Professor at the University of Cambridge, holding dual appointments in the Department of Pathology and Department of Genetics. He leads research at the intersection of computational biology, DNA replication, and cancer genomics, developing machine learning tools to analyze replication stress and genomic instability. Academic Background: BA in Mathematics (Rutgers University), PhD in Physics (University of Oxford) Research Focus: Genomic instability in cancer, DNA replication/repair defects, computational modeling using machine learning and high-performance simulations Teaching: Lectures in Natural Sciences Tripos (mathematical biology, genetics, systems biology), module organizer for cancer biology and biological modeling His research group leverages nanopore sequencing and AI to map replication fork dynamics, revealing how stalled forks generate mutations in cancer cells and pathogens. Recent work examines extrachromosomal DNA replication vulnerabilities and transcription-replication conflicts. Dr Boemo collaborates across computational biology and cancer research domains, with publications spanning journals like Nature Methods, Cell, and PLoS Computational Biology. His lab develops tools such as DNAscent for replication fork analysis and explores therapeutic targeting of replication stress.

• Contemporary German-Language Literature
• GDR Literature
• Cultural Studies Didactics
• +۷ مورد دیگر

Dr. Frank Thomas Grub is Professor of German and Head of the Department of Modern Languages at Uppsala University. Educated at Universität des Saarlandes (Dr. phil. 2003) and promoted to Associate Professor at Gothenburg University (2012) before joining Uppsala as Professor (2018), he has been recognized as Excellent Teacher (2021). As founder of the Landeskunde Nord network since 2012 and editor of the Peter Lang book series since 2013, his career bridges academic research, educational innovation, and international collaboration. His research focuses on contemporary German-language literature , GDR cultural studies , and transcultural didactics . Key projects explore autobiographical writing, post-Wall literary representations, and the intersection of travel literature with cultural memory. Recent publications (2024-2025) examine media narratives of reunification and cultural stereotypes in language pedagogy. Prof. Grub contributes to German as a foreign language curriculum development Intercultural competence frameworks Editorial leadership in Northern European Germanistics His 2023-2025 works analyze graphic novels in education, migration discourse in literature, and media transitions during the Cold War.

Qi Yuمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Science
• +۶ مورد دیگر

Qi Yu is a Professor in the School of Information at the Golisano College of Computing and Information Sciences at Rochester Institute of Technology (RIT). He serves as the Graduate Program Director and directs the Machine Learning and Data Intensive Computing Lab. His research focuses on machine learning, deep learning, and data-driven knowledge discovery, particularly in knowledge-rich domains like medicine and bioinformatics. He holds a B.E. from Zhejiang University, an M.E. from the National University of Singapore, and a Ph.D. from Virginia Tech. His work emphasizes interpretable models, multimodal data fusion, and human-in-the-loop learning. He has secured significant grants, including a $500K NSF award and a $1.6M ONR grant, supporting projects on Bayesian learning frameworks and decision-making under uncertainty. His lab actively explores active learning, few-shot learning, and uncertainty quantification. He advises a vibrant group of Ph.D. and MS students and teaches courses such as Data-Driven Knowledge Discovery and Thesis/Project Capstones. Education: B.E., Electrical Engineering, Zhejiang University (2001) M.E., Computer Engineering, National University of Singapore (2003) Ph.D., Computer Science, Virginia Tech (2008) Research Interests: Machine Learning, Deep Learning, Vision-Language Models, Uncertainty Quantification, Active Learning, Multimodal Data Fusion, Bayesian Methods, and Applications in Healthcare and Cybersecurity. Recent Work Trends: His articles emphasize label-efficient learning, interactive systems, and applying ML to complex domains like medical imaging and anomaly detection. Notable projects include Bayesian learning for dynamic decision-making and evidential optimization for robust models. Awards/Grants: NSF IIS Award ($500K, 2018–2023); DoD/ONR Award ($1.6M, 2018–2023); multiple conference recognitions (NeurIPS, ICML, CVPR). Advising spans over 20 students, many securing roles at Amazon, Samsung, and academia. Labs/Teams: Leads the Mining Lab, collaborating on interdisciplinary projects with domain experts in medicine, cybersecurity, and material science.

Holly Wilcoxمشاهده پروفایل

استاد

• Suicide Prevention
• Public Health
• Adolescent Health
• +۶ مورد دیگر

Holly Wilcox is a Professor in the Department of Mental Health at the Johns Hopkins Bloomberg School of Public Health with joint appointments in the Department of Health Policy and Management, Johns Hopkins School of Medicine, and Johns Hopkins School of Education. She serves as President of the International Academy of Suicide Research (IASR), member of the Scientific Council and Board of Directors of the American Foundation for Suicide Prevention (AFSP), suicide prevention consultant for the World Health Organization, and Affiliate Investigator at Australia's Centre for Research Excellence in Suicide Prevention. PhD, Johns Hopkins University (2003) MA, New York University (1998) BS, Northeastern University (1991) Dr. Wilcox's research focuses on public health approaches to suicide prevention through community-based universal prevention programs, data linkage strategies, and cross-sector implementation in schools, universities, social media, and emergency departments. Her work emphasizes population-based strategies targeting suicidal behaviors and addresses health disparities through culturally adapted interventions. She leads Johns Hopkins' multidisciplinary Suicide Prevention Working Group and actively mentors students, having won the Johns Hopkins Advising, Mentoring, and Teaching Recognition Award three times. Analysis of her recent publications reveals a strong emphasis on leveraging real-world data systems (Maryland Suicide Data Warehouse), developing ecological prevention models across multiple settings, and implementing evidence-based practices through policy mechanisms like the STANDUP Act. Her work increasingly integrates digital epidemiology (social media analysis) with traditional public health approaches while maintaining focus on vulnerable populations including adolescents, Latinx communities, and youth in child welfare systems. Recipient of the Andrej Marušic Suicide Research Award (2010) Dr. Robert Lewis Kane Memorial Award for data linkage research (2017) Multiple teaching excellence awards including AMTRA (2007, 2020, 2022) Best paper award in Archives of Suicide Research (2019) Dr. Wilcox has secured competitive grants from NIH, WHO, and other agencies to support her research. She actively collaborates with international organizations including WHO/UNICEF and Pan American Health Organization. Her mentorship extends to numerous students through the Johns Hopkins Bloomberg School of Public Health, where she teaches courses on suicide as a public health problem. She leads the Suicide Prevention Working Group that coordinates interdisciplinary research across Johns Hopkins divisions.