جستجوی استاد راهنمای دانشگاهی

Wei Zhangمشاهده پروفایل

استادیار

• Linguistics
• Speech Perception
• Speech Prosody
• +۴ مورد دیگر

Wei Zhang is an Assistant Professor in the School of Foreign Studies at Nanjing University, China. His research focuses on speech perception, production, and prosody, employing behavioral experiments, corpus studies, and computational modeling. He holds a PhD in Linguistics from McGill University, where his advisors included Meghan Clayards, Morgan Sonderegger, and Michael Wagner. His educational background includes a doctoral program at McGill University specializing in Linguistics. Research interests center on tonal systems (particularly Mandarin and Taiwanese Southern Min), acoustic cue interactions, and the role of F0 and duration in speech processing. He has also explored machine learning applications in natural language processing and speech technologies. Zhang's recent work reveals a focus on cross-linguistic comparisons of prosodic features, computational methods for pitch analysis, and neural network architectures enhancing natural language understanding. His 2024 studies on focus effects and constituency in Mandarin/English prosody demonstrate methodological innovation in phonological interfaces. Earlier work established foundational insights into F0 range dominance in tonal perception. Key contributions include advancements in pitch-range estimation, tonal imitation patterns, and speech corpus methodologies. Despite prolific publication (over 20 peer-reviewed works across 2014-2025), no advising roles or grants are explicitly mentioned. His lab/teams' activities remain unspecified in the provided materials.

• Computer Networks
• Internet Video Distribution
• Network Synthesis
• +۶ مورد دیگر

Sanjay Rao is a Professor in the School of Electrical and Computer Engineering at Purdue University, leading the Internet Systems Laboratory. His research focuses on network synthesis/design/verification and Internet video distribution. He holds a B.Tech from IIT Madras and a Ph.D from Carnegie Mellon University. He has held visiting roles at Google, AT&T Research, and Princeton University. Research & Awards: His work includes groundbreaking contributions like End System Multicast (winner of the ACM SIGMETRICS Test of Time Award), Oboe (ABR auto-tuning), and Veritas (causal video streaming analysis). He received the NSF CAREER Award (2010) and is an ACM Distinguished Member (2021). Teaching: Courses include Computer Networking (ECE 463), Object-Oriented Programming (ECE 39595), and Computer Network Systems (ECE 595). Service: Chair, ACM Sigcomm Doctoral Dissertation Award Committee (2022); Associate Editor, IEEE/ACM Transactions on Networking (2016–2020). Labs & Teams: Directs the Internet Systems Lab (ISL) with active projects on video streaming, network resilience, and intent-based design. Graduate students collaborate on these initiatives.

William Stewartمشاهده پروفایل

استاد

• Park Development
• Community-Based Conservation
• Environmental Psychology
• +۷ مورد دیگر

Prof. William Stewart is a Professor in the Department of Recreation, Sport, and Tourism at the University of Illinois at Urbana-Champaign. He holds a PhD in Watershed Management and Forestry from the University of Arizona. His research focuses on community-based conservation, park development, and the intersection of human well-being with environmental landscapes. Research Interests: His work emphasizes understanding place meanings, community resilience, and the integration of socio-cultural values into ecological planning. Stewart collaborates with interdisciplinary teams including ecologists, economists, and urban planners to address landscape change and resource management challenges. Recent projects include the Chicago Large Lot Program (assessing urban greenspace impact) and rural community resilience in protected grasslands. Teaching: Stewart teaches courses like RST 393/594 on Community Conservation and Restoration, emphasizing regional-scale planning for mixed-use landscapes. He co-leads the Park and Environmental Behavior (PEB) Research Lab, guiding over 10 graduate and undergraduate researchers. Affiliations: Affiliated with the Departments of Natural Resources and Environmental Sciences, and Landscape Architecture. His work is funded by USDA, National Park Service, and National Institute of Food and Agriculture grants. Labs/Teams: Directs the PEB Lab, which focuses on participatory conservation methods, sense of place studies, and urban-rural interface dynamics. Collaborations span international institutions like Beijing Forestry University and Tongji University.

• Machine Learning
• Information Fusion
• Data Analytics
• +۷ مورد دیگر

Alexander Karlsson is an Associate Professor at the Department of Information Technology, School of Informatics, University of Skövde. His research focuses on machine learning, information fusion, and their applications in transportation, healthcare, and industrial systems. He leads projects like I2Connect, developing advanced driver assistance systems using deep learning and situation awareness algorithms. Key research interests include driver intention recognition, predictive maintenance, telecommunication anomaly detection, and biomedical data analysis. He has published extensively in top venues like IEEE Transactions, ACM journals, and conferences like IPMU and MDAI. Education: PhD in Information Fusion (2010) from University of Skövde. Teaching: Coordinates courses in data analytics and AI at graduate and postgraduate levels. Projects: Active in industrial collaborations (e.g., automotive, steel production, telecommunication). His work bridges theoretical advances in machine learning with practical industrial challenges, emphasizing uncertainty quantification and robust decision-making frameworks.

• Entrepreneurship Education
• Lifelong Learning
• Business Model Innovation
• +۳ مورد دیگر

Merike Kaseorg is a Lecturer in Entrepreneurship at the University of Tartu's School of Economics and Business Administration. She holds an MBA (2002) and a BA in Marketing and Trade (1995). Her career spans over three decades, beginning as an Office Assistant in 1980 and progressing to academic roles since 2004. She specializes in entrepreneurship education, lifelong learning, and university-industry collaboration. Current Position: Junior Lecturer in Entrepreneurship (2023–present) Previous Roles: Assistant of Entrepreneurship (2018–2022), Lecturer of Management (2016–2017), and various teaching positions since 2004 Her research focuses on entrepreneurship education effectiveness, social entrepreneurship, family business dynamics, and internship programs. She has organized workshops on blockchain, FAIR data principles, and entrepreneurship pedagogy. Active in international conferences, she has participated in events in Finland, the USA, and Greece. Publications span entrepreneurship education frameworks, business model analysis, and social innovation. Collaborations with institutions like the Baltic Family Firm Institute highlight her engagement in regional academic networks.

• Marketing Implementation
• Cross-functional Relationships
• New Product Development (NPD)
• +۵ مورد دیگر

Graham Massey is a Senior Lecturer at the University of Technology Sydney (UTS), based in the Marketing Discipline Group within the UTS Business School. He holds a PhD in Marketing from the University of New South Wales. His research focuses on cross-functional working relationships between Marketing, Sales, and R&D managers during new product development (NPD), emphasizing structural equation modeling and data from multiple managerial perspectives. Key research interests include identifying factors influencing effective/ineffective cross-functional relationships, conflict management, and organizational learning. He has published in leading journals like European Journal of Marketing , Industrial Marketing Management , and Journal of Business and Industrial Marketing , and co-authored chapters in the Oxford Handbook of Strategic Sales and Sales Management . Awards include the Emerald Literati Network Award (2005) and Best Paper at the UK Academy of Marketing Conference (2008). He serves on editorial boards for Industrial Marketing Management and Australasian Marketing Journal , and reviews for several top-tier journals. Professional Activities include core membership in UTS’s CMOS Research Centre, participation in international conferences (e.g., ANZMAC, EMAC, ISPIM), and collaboration with institutions like Penn State’s Institute for the Study of Business Markets. He has secured research funding for projects such as the NSW Government CX Survey Master Questionnaire design (2021). Teaching responsibilities include Postgraduate Marketing Management courses at UTS.

• Information Retrieval
• Natural Language Processing
• Machine Learning
• +۴ مورد دیگر

Professor Emine Yilmaz is a distinguished academic at University College London (Department of Computer Science), holding concurrent roles as a Turing Fellow and Amazon Scholar. She leads the Web Intelligence Group at the UCL Centre for Artificial Intelligence and collaborates with Amazon's Alexa Shopping team as an Amazon Scholar. Her research focuses on information retrieval, natural language processing, and machine learning, with over 150 publications (6,250+ citations, H-index 39). Notable awards include the Karen Sparck Jones Award, Google Faculty Research Award, and Bloomberg Data Science Research Award. Her work is funded by EU Horizon 2020, EPSRC, and industry partners like Google and Bloomberg. She has served in leadership roles for journals (e.g., Information Retrieval Journal) and conferences (e.g., ACM SIGIR 2024 PC Chair). Recent projects include organizing the TREC Deep Learning Track and co-founding Humanloop, a UCL spinout company. Research Interests: Machine learning for search systems, conversational AI, educational technology, and ethical AI. Key Contributions: Synthetic test collections (SYNDL), contextual understanding in dialogue systems, and knowledge-enhanced retrieval frameworks. Her articles emphasize robustness in retrieval-augmented generation (RAG), proactive search systems, and bias mitigation in synthetic data. Recent highlights include work on personalization benchmarks (PersonaLens) and trustworthiness in AI systems (TrustRAG). Awards: Karen Sparck Jones Award (2021), Google Faculty Research Award (2020), Bloomberg Data Science Award (2019). She advises over 10 current PhD students and has mentored 9 former students, many now in academia and industry. Her grants span EU, UK, and industry funding, with recent support from Bloomberg’s PhD fellowship program and Google Research Awards. Labs/Teams: Web Intelligence Group (UCL), co-founder of Humanloop, and key contributor to the TREC Deep Learning initiative.

Marc W Slutzkyمشاهده پروفایل

استاد

• Neuroprosthetics
• Brain-Computer Interfaces
• Stroke Recovery
• +۷ مورد دیگر

Marc W. Slutzky, MD, PhD, is a Professor at Northwestern University, holding dual appointments in the McCormick School of Engineering (Neuroscience) and the Feinberg School of Medicine (Neurology). He is a clinician-scientist specializing in neuroprosthetics, brain-computer interfaces (BCIs), and stroke recovery. His translational research focuses on restoring movement and communication in patients with neurological disorders. Education: PhD in Biomedical Engineering (Northwestern University, 2000) MD (Northwestern University Feinberg School of Medicine, 2002) Neurology Residency (Northwestern University McGaw Medical Center, 2006) Research Focus: Dr. Slutzky develops innovative BCI technologies to decode neural signals for applications in neurorehabilitation. His work includes wearable myoelectric interfaces for stroke recovery, decoding speech intent from non-frontal brain areas, and optimizing neural decoding algorithms for low-power BCI systems. He also investigates cortical connectivity in language networks and functional brain mapping during surgery. Articles Trends: Recent publications emphasize clinical translation of BCI technologies, energy-efficient decoding algorithms, and neurophysiological insights into movement and speech production. His work bridges engineering and clinical neuroscience to enhance patient outcomes. Awards & Leadership: President, International Brain Computer Interface Society (2025–Present) Fellow, American Academy of Neurology (2020) Editorial Board Member, PlosOne and Frontiers in Neuroprosthetics Grants & Trials: Leads clinical trials on wearable myoelectric interfaces for stroke rehabilitation (e.g., MINT system) and sleep-based memory reactivation. His lab collaborates on NIH-funded projects and industry partnerships (e.g., Vonova, Inc.). Labs & Teams: Director of the Slutzky Neuroprosthetics Laboratory , which integrates neural engineering, clinical neuroscience, and rehabilitation robotics to advance neuroprosthetic systems and neurorehabilitation strategies.

Christophe Bobdaمشاهده پروفایل

استاد

• System on Chip Design
• FPGA and Reconfigurable Computing
• Embedded Systems
• +۵ مورد دیگر

Christophe Bobda is a Citi Endowed Professor in Advanced Technologies and Associate Chair for Academics at the University of Florida's Department of Electrical & Computer Engineering within the Herbert Wertheim College of Engineering. His research focuses on FPGA-based systems, cybersecurity, embedded systems, and resilient architectures. He holds a Ph.D. from the University of Paderborn, Germany, and degrees from Universities in Germany and Cameroon. Research interests include System-on-Chip design, reconfigurable computing, and robotics. Notable contributions span secure cloud FPGA deployment, multi-tenant hardware security, and near-sensor processing architectures. He received the HWCOE International Educator of the Year award in 2024. Recent work emphasizes FPGA security in cloud environments, with projects like CIVIC-FPGA and ISO-TENANT addressing isolation and attack mitigation. His lab explores embedded imaging and robotics applications, leveraging low-power and high-performance FPGA solutions. NSF grants support his research in FPGA acceleration and datacenter infrastructure. Publications highlight advancements in event-based vision systems, 3D semantic modeling, and hardware trojan detection. Ongoing projects include chiplet interfaces for on-device AI and galvanic isolation for physical attack prevention. His work bridges theoretical cybersecurity with practical FPGA implementations for resilient systems.

Shaodi Youمشاهده پروفایل

دانشیار

• Physics Based Vision
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Dr. Shaodi You is an Associate Professor at the University of Amsterdam (UvA), working in the Computer Vision Research Group within the Institute of Informatics, Faculty of Science. He received his Ph.D. and M.E. degrees from The University of Tokyo, Japan in 2015 and 2012, and his bachelor's degree from Tsinghua University, P. R. China in 2009. His research focuses on three main areas: Physics Based Vision, Perception Based Vision and Learning, and 3D geometry. His work specifically addresses challenging problems such as rain and water drop detection/removal, liquid optics, dehazing, and non-rigid 3D geometry. He is particularly known for his work on adherent raindrop detection and removal in video, which was presented at CVPR 2013 and later published in IEEE TPAMI. His recent publications (2024-2025) demonstrate a strong focus on physics-based vision problems, including rain location prior learning for deraining, generalized segmentation for foggy scenes, and hyperspectral image processing. His research integrates deep learning techniques with physics-based models to solve challenging computer vision problems in adverse conditions. Many of his recent works address weather-related vision challenges, building on his earlier foundational work on raindrop detection. Dr. You serves as an area chair for major computer vision conferences (CVPR, ICCV, ECCV, and NeurIPS) and is an associate editor of the International Journal of Computer Vision (IJCV). He is the founder of the International Workshop on Physics Based Vision meets Deep Learning (since 2017), which has become an important venue for research at the intersection of physics-based modeling and deep learning in computer vision. He has supervised students and supported the CSC scholarship program. His research group has developed several important datasets and projects, including GTAV-NightRain, Atlantis, and BUJT-UvA hyperspectral datasets, which have contributed significantly to the computer vision community.

Florian Metzeمشاهده پروفایل

استاد مدعو

• Speech Recognition
• Machine Learning
• Multimodal Learning
• +۳ مورد دیگر

Florian Metze is an Adjunct Professor at the Language Technologies Institute (LTI) within the School of Computer Science at Carnegie Mellon University. His work focuses on advanced speech and audio processing, multimodal learning, and machine learning applications in under-resourced languages. He leads research in speech recognition, generative audio models, and cross-modal understanding. His research interests emphasize leveraging audiovisual data for robust speech recognition, developing scalable solutions for low-resource languages, and advancing multimodal systems through innovations like diffusion-based text-to-audio generation (Audio-Journey) and modular neural architectures (Legonn). His contributions include foundational work on wake-word detection, speaker verification (MASV), and context-aware error correction in ASR systems. Collaborative projects span speech technology for unwritten languages, child phonetic acquisition modeling, and integrating visual context into speech processing pipelines. His work often bridges theoretical advancements with practical applications in edge computing, security, and biomedical signal analysis (e.g., heart sound monitoring). Metze's research outputs include over 100 peer-reviewed articles since 2018, with recent emphasis on large language models for multitalker scenarios, efficient neural architectures, and cross-modal representation learning. He actively contributes to open-source tools like the ACLEW DiViMe diarization toolkit.

Daniel Allingtonمشاهده پروفایل

استاد

• Political Ideology
• Hate Speech
• Disinformation/Misinformation
• +۳ مورد دیگر

Dr Daniel Allington is a Reader in Social Analytics at King's College London, based in the Department of Digital Humanities within the Faculty of Arts & Humanities. He is a leading scholar in the fields of social analytics, computational social science, and media studies, with a focus on extremism, hate speech, disinformation, and the historical study of publishing and media. As a Co-Investigator of the Decoding Antisemitism project funded by the Alfred Landecker Foundation, his work explores antisemitism and conspiracy theories in digital contexts. Dr Allington's research interests include political ideology, hate speech and incitement, disinformation, and the historical study of publishing and media. He employs both qualitative and quantitative methods in his investigations, including social network analysis and statistical text analysis. His current work emphasizes the role of digital media in spreading extremism and antisemitic discourse. His recent publications reflect a deep engagement with antisemitism, conspiracy theories, and public health responses to crises such as the COVID-19 pandemic. He has examined the correlation between conspiracy beliefs and vaccine hesitancy, the predictive factors of antisemitic attitudes, and the use of AI in analyzing hate speech online. His work bridges computational methods with critical social science, offering insights into contemporary societal challenges. Dr Allington has not been explicitly mentioned as having received named scientific awards or fellowships in the provided text. He has secured funding through projects like the Decoding Antisemitism initiative and has collaborated with organizations such as the Campaign Against Antisemitism and the Centre for Countering Digital Hate. Dr Allington is also actively involved in PhD supervision, guiding students in qualitative or quantitative research within his areas of expertise. His research is conducted within the Department of Digital Humanities at King’s College London, and he contributes to interdisciplinary projects addressing digital media’s role in societal issues.

• Social Network Theory
• Organizational Behavior
• Relational Leadership
• +۵ مورد دیگر

Andrew Parker is a Professor in Leadership at Durham University Business School. He holds a PhD in Sociology from Stanford University (2011) and has held academic positions at the University of Exeter, Grenoble Ecole de Management, and visiting roles at the University of Kentucky and University of Melbourne. His research focuses on social network theory, relational leadership, knowledge sharing, and organizational dynamics. Parker has conducted studies across 90+ multinational organizations and government agencies, emphasizing network analysis to understand problem-solving, performance, and well-being. He is co-author of The Hidden Power of Social Networks and co-editor of Networks in the Knowledge Economy . As an Associate Editor at Decision Sciences, he bridges academic research and practical application. His consulting work spans global firms like McKinsey, World Bank, Microsoft, and Pfizer, applying network insights to organizational challenges. Key research areas include relational energy, cross-domain multiplex relationships, and the impact of social networks on employee retention and innovation. Parker’s recent work explores how organizational networks influence gender leadership dynamics, time-pressure collaboration (e.g., Formula One teams), and the interplay between emotional job demands and social ties. His research consistently highlights the centrality of informal networks in driving organizational outcomes, offering actionable strategies for enhancing collaboration and inclusivity.

Weiyi Maمشاهده پروفایل

دانشیار

• Developmental Science
• Cognitive Neuroscience
• Language Acquisition
• +۳ مورد دیگر

Dr. Weiyi Ma is an Associate Professor at the University of Arkansas's School of Human Environmental Sciences, part of the Dale Bumpers College of Agricultural, Food and Life Sciences. His research bridges developmental science, education, and neurobiology, focusing on communicative and cognitive development across the lifespan. Key interests include language acquisition, emotional perception of speech/music, music's impact on learning, and technology's role in education. Education: PhD in Education and MA in Linguistics from the University of Delaware. Research spans child development, neurocognitive processes, and cross-cultural studies. Recent work explores how music tempo influences attention in children and the effects of video gaming on cognitive functions like visual working memory and emotional perception. Publications emphasize topics such as classifier use in language learning, verb semantics, and neural plasticity in gamers. No awards listed, but active in editorial reviews and teaching.

• Strategic Management
• Grand Strategies
• Ambidexterity in Management
• +۵ مورد دیگر

Prof. Agnieszka Zakrzewska-Bielawska is a distinguished academic and administrator at Lodz University of Technology. She currently serves as Dean of the Faculty of Organization and Management (2019-2024) and Head of the Institute of Management. She holds leadership roles in academic governance, including membership in the University Senate (2020-2028) and chairs the Discipline Council of Management and Quality Science (2024-2028). Her research focuses on strategic management, particularly in high-tech enterprises, inter-organizational relations, and ambidexterity. She has contributed to understanding coopetition dynamics, relational strategies, and organizational structure adaptation. Her work bridges theory and practice, addressing challenges in innovation ecosystems, crisis management, and sustainable enterprise development. Zakrzewska-Bielawska actively engages in national academic policy, serving on the Polish Academy of Sciences' Committee on Organizational and Management Sciences and advising the Ministry of Science on 'Excellent Science' initiatives. She also contributes to educational innovation through curriculum development and faculty governance. Her publications emphasize strategic paradoxes, hybrid organizational structures, and consumer motivations in energy markets. She has pioneered relational strategy frameworks and validated measurement scales for interorganizational trust and coopetition.