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Timothy TricasView profile

Professor

• Fish sensory systems
• Coral reef ecology
• Behavioral ecology
• +3 more

Timothy Tricas is a Professor at the University of Hawaii at Manoa's School of Life Sciences, specializing in fish sensory systems and coral reef ecology. He leads a research lab focused on understanding acoustic communication, neuroethology, and behavioral ecology in marine species. His work integrates field observations with neurophysiological and anatomical studies, often using advanced techniques like rebreather diving and hydrophone recordings. Affiliations: School of Life Sciences, Department of Zoology, Hawaii Institute of Marine Biology Courses Taught: Ethology, Animal Behavior, Sensory Ecology, Fish Behavior and Sensory Biology Research Interests: His studies explore how fish use sensory systems (auditory, lateral line, electrosense) to navigate, communicate, and survive in coral reef ecosystems. Key projects include decoding fish acoustic behaviors, understanding the evolution of specialized sensory adaptations (e.g., butterflyfish hearing mechanisms), and applying bioacoustics for coral reef health monitoring. Grants & Funding: Secured grants from NOAA, NSF, and the Hawaii Undersea Research Laboratory for projects like parrotfish soundscapes analysis and stingray electrosensory systems. Lab Activities: Mentors graduate and undergraduate students in field experiments, neuroanatomical studies, and acoustic data analysis. Current projects include parrotfish home range behavior and开发 new bioacoustic monitoring tools.

Andres KwasinskiView profile

Professor

• Cognitive Radios and Networks
• Machine Learning for Wireless Communications
• 5G/6G/NextG Networks
• +5 more

Andres Kwasinski is a Professor in the Department of Computer Engineering at Rochester Institute of Technology (RIT), part of the Kate Gleason College of Engineering. He serves as Graduate Program Director for the Ph.D. in Electrical and Computer Engineering and M.Sc. in Computer Engineering. He co-directs the Networking and Information Processing (NetIP) Lab and holds editorial roles with IEEE publications, including Chief Editor of the IEEE Signal Processing Repository and Associate Editor of IEEE Signal Processing Magazine. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering from the University of Maryland, College Park (2004 and 2000), and B.Sc. in Electrical Engineering from the Buenos Aires Institute of Technology (1992). Prior to RIT, he worked at Texas Instruments, Lucent Technologies, and the University of Maryland. Research Interests: Cognitive radios, machine learning for dynamic spectrum access, 5G/6G networks, VR communications, cross-layer resource allocation, smart infrastructures, and signal processing. His work emphasizes sustainable and resilient communication systems, integrating renewable energy and AI-driven solutions. Notable Contributions: Authored/co-authored books on cooperative communications and 3D visual communications. Over 70 peer-reviewed publications, including works on energy-efficient wireless networks, microgrid integration for base stations, and deep reinforcement learning in cognitive radio. His research is funded by the NSF, Harris Corporation, and the Air Force Research Laboratory. Grants & Awards: Supported by grants from NSF and industry partners. Recognized for contributions to IEEE standards and technical leadership in signal processing and communications. Labs & Teams: Co-director of the NetIP Lab, focusing on networking, signal processing, and smart infrastructure. Collaborates on interdisciplinary projects in robotics, warehouse automation, and 5G/B5G systems.

Ben SwiftView profile

Senior Lecturer

• Artificial Intelligence
• Machine Learning
• Computational Art & Music
• +4 more

Dr. Ben Swift is a Senior Lecturer at the School of Cybernetics, ANU, specializing in AI, computational art, and cybernetics. He leads the Cybernetic Studio, an interdisciplinary collective exploring cybernetic systems through hardware/software/people collaborations. As a livecoding artist, he performs globally and co-founded the ANU Laptop Ensemble. His research spans generative AI, open-source tools like Extempore, and UX design. Education: PhD in Computer Science (ANU) Projects: Australia's Digital Economy (2022), The Augmented Web (2019) Research focuses on AI creativity, biofeedback interfaces, and computational music. His work bridges technical innovation with artistic expression, evident in projects like TSPNet and adversarial camera systems. Key contributions include Extempore’s development and studies in live coding disruption. Awards unspecified but recognized internationally for interdisciplinary impact.

Rachel MurphyView profile

Professor

• Chinese Studies
• Sociology
• Development Studies
• +5 more

Rachel Murphy is a Professor of Chinese Development and Society at the University of Oxford. She holds a PhD in Sociology from the University of Cambridge (1999) and has extensive experience in institution-building through roles such as former Research Director of OSGA (2019-2023) and former Head of OSGA (2014-2018). Her research focuses on migration, rural transformation, and gender imbalances in China, leveraging ethnographic and qualitative methodologies. Her monograph The Children of China’s Great Migration (2020) explores migrant families’ dynamics, supported by a British Academy Mid-Career Fellowship. Additional expertise includes media studies and sociological demography. She co-leads the Global Gender in an Era of Care Crises network and served as President of the British Association for Chinese Studies (2019–2022). Rachel’s work spans over 20 years with six years of fieldwork in mainland China and Taiwan. Current projects include urbanization’s impact on migrant families and Taiwan studies through Oxford’s Taiwan Programme. She sits on editorial boards for Modern China and The China Quarterly .

Simon YangView profile

Professor

• Artificial Intelligence
• Robotics
• Control Systems
• +7 more

Simon Yang is a Professor in the School of Engineering at the University of Guelph, part of the College of Engineering and Physical Sciences. His research focuses on artificial intelligence, robotics, sensors, control systems, and bio-inspired intelligence. He has contributed to advanced robotics applications, including mobile robot navigation, underwater vehicle control, and agricultural automation. Dr. Yang holds editorial roles for journals such as the International Journal of Robotics and Automation and IEEE Transactions on Cybernetics . His work bridges theoretical advancements with practical implementations in areas like sensor networks, machine learning, and multi-agent systems. Recent projects include developing robust control frameworks for autonomous systems, digital twin applications, and bio-inspired neural network algorithms. His research emphasizes real-world challenges in robotics, environmental monitoring, and precision agriculture, with a focus on integrating AI-driven solutions for enhanced decision-making and system reliability. Professional contributions include advisory roles in multiple journals and conference committees, reflecting his leadership in the field.

• Corporate Taxation
• Disclosure Regulation
• Corporate Finance
• +3 more

Dr. Marcel Olbert is an Assistant Professor of Accounting at the London Business School and a Junior Research Associate at the ZEW (Leibniz Centre for European Economic Research). He holds a PhD from the University of Mannheim, completed under Prof. Dr. Christoph Spengel, with additional research experience at Stanford Graduate School of Business and the University of North Carolina at Chapel Hill. His research focuses on the real effects of corporate taxation and disclosure regulation, particularly examining how multinational firms respond to regulatory and macroeconomic incentives. Current work includes studies on tax reforms, carbon taxes in developing countries, and Country-by-Country Reporting's impact on resource allocation. Olbert’s research has been published in top-tier journals such as The Accounting Review , Journal of Accounting and Economics , and Review of Financial Studies . He currently serves as an Associate Editor at the European Accounting Review and has received grants from the National Bureau of Economic Research (NBER) and the Wheeler Institute for Business and Development. His teaching includes the LBS MBA program, where he was named one of the 2024 Poets & Quants Best 40-Under-40 MBA Professors. Key research themes include multinational tax strategies, ESG disclosures in private equity, and the interplay between tax policy and corporate behavior. He also explores topics like transfer pricing conflicts, tax competition effects on employment, and the implications of global tax reforms (OECD Pillar 1+2). Olbert has been recognized for his contributions to transparency and tax policy through grants and awards. His work bridges academia and practice, with collaborations spanning tax authorities, think tanks, and multinational corporations.

Timothy James LockleyView profile

Professor

• Slavery
• Social History of the American South
• Race and Class
• +7 more

Timothy James Lockley is Professor of American History at the University of Warwick. He has held academic positions at the university since 1996, progressing from Lecturer to Professor in 2015. His research spans the social history of the colonial and antebellum American South, the Caribbean, slavery, race, class, poverty, and medical history. He is also interested in the cultural history of cricket and classical music broadcasting. M.A., University of Edinburgh, 1993 Ph.D., University of Cambridge, 1996 Lockley's research explores the complex relationships between race and class, particularly among non-slaveholding whites and enslaved African Americans. His work on medical history examines racial immunity theories and mortality patterns in urban centers like Savannah. He has also published on the history of classical music radio and the social role of cricket in the American South. His recent articles focus on military slavery in the West India Regiments, slave conspiracies, family life under slavery, urban poverty, and the cultural impact of radio. These publications reflect a consistent engagement with themes of race, resistance, gender, and health in the Atlantic world. Scientific awards and grants include: AHRC Grant (2015–2018): "Africa's Sons Under Arms" AHRB Grant (2000–2002): "Southern Charities Project" He has supervised numerous PhD and MA students on topics including enslaved masculinity, slaveholding ideology, antislavery networks, and folk religion in Jamaica. He has served as associate editor of Slavery & Abolition and contributed to major reference works. He is actively involved in public history, appearing on BBC’s "In Our Time" to discuss topics such as the Pilgrim Fathers, Pocahontas, and the Haitian Revolution. Lockley leads research groups and collaborates with scholars across the UK and US, focusing on Atlantic history, slavery, and cultural memory. His future research includes a study of Savannah in 1820 and the history of classical music radio during World War II.

• Household Archaeology
• Roman Egypt
• Meroitic Sudan
• +5 more

Anna L. Boozer is a Professor in the History Department at Baruch College's Weissman School of Arts and Sciences, City University of New York. Her research focuses on households, connectivity, and empires in Roman Egypt and Meroitic Sudan, with extensive fieldwork at Amheida (Dakhleh Oasis) and Meroe. She directs the CUNY excavations at Amheida and the Meroe Archival Project. Boozer earned her Ph.D., M.Phil, and M.A. in Archaeology/Anthropology from Columbia University and a B.A. in Philosophy and History of Math/Science from St. John's College. Her scholarly contributions span household archaeology, imperial borderlands, and material culture studies, examining how domestic spaces reflect broader social and political dynamics in antiquity. Her research interests center on social archaeology of Roman Egypt and Meroitic Sudan, with particular focus on household organization, material culture, and imperial connectivity. She examines how domestic spaces serve as sites of cultural negotiation, exploring themes of identity formation, social memory, and daily life practices at imperial frontiers. Her work challenges traditional Romanization narratives by highlighting local agency and cultural hybridity. Boozer's publications reveal consistent engagement with household archaeology, material culture analysis, and imperial borderlands studies. Her work demonstrates how domestic contexts provide critical insights into larger imperial processes, with recurring themes of connectivity, cultural negotiation, and the social significance of material remains. She frequently employs interdisciplinary approaches bridging archaeology, anthropology, and history. Teaching and Learning Award (University of Reading, 2013) Lump Sum Award (University of Reading, 2012) Boozer actively supervises doctoral dissertations and has secured multiple research grants including PSC-CUNY awards totaling over $20,000 for projects on Roman Egypt and Meroitic Sudan. She serves as Area Editor for the Encyclopedia of Ancient History and sits on editorial boards for Dotawo: A Journal of Nubian Studies and Brepols' Borders, Boundaries, and Landscapes series. She directs two major research initiatives: the CUNY excavations at Amheida (ancient Trimithis), a Romano-Egyptian city in the Dakhleh Oasis, and the Meroe Archival Project which analyzes legacy data from Sudan's ancient Meroitic capital. These projects involve international collaborations with institutions in Egypt, Sudan, and Europe, focusing on household archaeology and imperial connectivity.

• Human-Computer Interaction
• Social Media Analysis
• AI-Mediated Communication
• +5 more

Mor Naaman is a Professor at Cornell University specializing in Human-Computer Interaction, Social Media Analysis, and AI-Mediated Communication. With a prolific publication record spanning over two decades, his research focuses on how people interact with social computing systems, particularly examining trust, information exposure, and community dynamics in online environments. His research interests span several interconnected domains: Human-Computer Interaction with emphasis on social media platforms, AI-Mediated Communication examining how AI systems influence human communication patterns, Misinformation Detection and analysis of information ecosystems, Location-Based Social Networks and community awareness systems, and Trust in Online Systems. His work often bridges technical and social aspects of computing, with publications appearing in top venues like CHI, CSCW, and ICWSM. Analysis of his recent publications (2022-2025) reveals a strong focus on the emerging challenges of AI in social contexts, particularly examining AI-generated content, trustworthiness evaluations of AI systems, and the social implications of generative AI. His research shows consistent interest in understanding community dynamics across platforms like Reddit, Facebook, and Twitter, with recent work examining hyperlocal communities, news consumption patterns, and cross-cultural aspects of AI-mediated communication. Mor Naaman has mentored numerous students and collaborators, including Xiao Ma, Yiqing Hua, and Marianne Aubin Le Quéré, who frequently appear as co-authors on his publications. His work demonstrates strong interdisciplinary connections between computer science, social science, and communication studies. His research methodology typically combines large-scale data analysis of social media platforms with user studies and system design, contributing both theoretical insights and practical applications for designing more effective social computing systems. Recent projects have examined AI writing assistants, community governance of AI content, and the cultural implications of AI-mediated communication.

Zhi ChenView profile

Lecturer

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +3 more

Dr. Zhi Chen is a Lecturer in Computing at the School of Mathematics, Physics and Computing, University of Southern Queensland, specializing in Artificial Intelligence and Machine Learning with applications spanning digital agriculture and healthcare systems. Education: Master of Information Technology (MIT), University of Queensland, 2018 PhD, University of Queensland, 2023 Research Focus: His work centers on zero-shot learning, domain adaptation, and multimodal systems, addressing core challenges in computer vision and deep learning. Current projects integrate AI with agricultural risk modeling and medical diagnostics, emphasizing real-world deployment of robust algorithms under data-scarce conditions. Publication Trends: Recent output (2022-2025) shows concentrated expertise in source-free domain adaptation and generalized zero-shot learning, with significant contributions to plant disease recognition (via mobile multimodal systems) and diabetes subgroup analysis. His work consistently appears in premier venues including AAAI, CVPR, and ACM MM, demonstrating methodological innovation applied to critical domains like climate-resilient agriculture and precision medicine. Supervision: Currently serves as Associate Supervisor for a doctoral candidate developing parametric insurance models for oyster farms to mitigate climate-related risks from king tides and extreme weather events. Awards: No scientific awards were documented in the provided materials.

Daniel PetterssonView profile

Professor

• Educational Science
• Comparative Education
• International Knowledge Measurements
• +7 more

Daniel Pettersson is a Professor at University of Gävle specializing in educational science with a particular focus on international knowledge measurements, comparative education, and curriculum studies. His work critically examines the hegemony of comparisons in education, particularly through large-scale assessments like PISA, and explores how these influence educational policy and practice. Professor Pettersson's research spans several interconnected domains within educational science. He investigates how international comparisons shape educational discourse and policy, examining the historical development of assessment practices and their impact on national education systems. His work frequently analyzes the production of educational knowledge through data visualization and quantification, revealing how numbers become authoritative in educational decision-making. A significant portion of his research focuses on Swedish education within international contexts, exploring how global educational trends are adopted, adapted, and contested in national settings. His extensive publication record reveals several key trends in his scholarly work. Over the past two decades, Pettersson has traced the evolution of international large-scale assessments from marginal research tools to central policy instruments. His recent work increasingly examines data visualization techniques in educational research and the historical construction of educational knowledge through quantification. He also explores the intersection of teacher education with international assessment frameworks, revealing tensions between global educational discourses and local teaching practices. Professor Pettersson has made significant contributions to understanding how educational policy is shaped by international comparisons. His research demonstrates how assessment data becomes transformed into policy narratives that influence educational reform. He has documented the historical trajectory of international assessment research, showing how it evolved from marginal academic interest to central policy instrument. His collaborative work with scholars like Sverker Lindblad, Thomas Popkewitz, and Tatiana Mikhaylova has been particularly influential in critically examining the political dimensions of educational measurement. His research activities include extensive work with international research teams, participation in major conferences including the Nordic Education Research Association (NERA) and the International Standing Conference for the History of Education (ISCHE), and contributions to systematic reviews of international comparative research. Professor Pettersson's work bridges historical analysis, policy studies, and critical examination of educational measurement practices, providing valuable insights into how global educational knowledge is produced and circulated.

Craig JonesView profile

Assistant Professor

• Medical Image Processing
• Artificial Intelligence
• Neural Networks
• +2 more

Craig Jones is an Assistant Professor of Computer Science at Johns Hopkins University's Whiting School of Engineering. He is affiliated with the Malone Center for Engineering in Healthcare and contributes to the Precision Medicine Analytics Platform's Imaging and Data Science Subcommittees. BSc in Computer Science and Mathematics from Simon Fraser University MSc in Medical Biophysics from the University of Western Ontario PhD in Physics from the University of British Columbia His research focuses on applying artificial intelligence and neural networks to medical image processing, particularly for MRI, CT, optical coherence tomography (OCT), and ultrasound datasets. Key areas include 2D/3D image processing, anomaly detection, segmentation, and uncertainty quantification, with clinical applications in neurosurgery, ophthalmology, and oncology. Projects span robotic imaging, neuroendoscopic guidance, and cancer boundary detection. Recent publications highlight advancements in vision-language models for 3D medical imaging, automated segmentation of venous malformations, and AI-guided neurosurgical tools. Articles emphasize multimodal data fusion, self-supervised learning, and federated learning for rare cancer analytics. He received a $310,000 Department of Defense grant in 2022 to develop AI-guided treatments for venous malformations. His work bridges clinical imaging domains and computer vision as a member of the Radiology AI Lab (RAIL), a collaborative effort across Johns Hopkins Hospital, the Whiting School of Engineering, and the Applied Physics Laboratory.

Osman Kaan ErolView profile

Associate Professor

• Optimization Algorithms
• Heuristic and Metaheuristic Methods
• Control Systems
• +3 more

Assoc. Prof. Dr. Osman Kaan Erol is affiliated with Istanbul Technical University , where he serves in the Department of Control and Automation Engineering . His primary research focuses on optimization algorithms and their applications in engineering systems. Doctorate in Control and Computer Engineering Teaching and research at Istanbul Technical University since 2003 Industry experience at BEKO Electronics (2000-2003) and ABC CEDETAŞ (1995-2000) Research Interests include: Big Bang-Big Crunch optimization algorithm Differential Evolution methods Heuristic and metaheuristic approaches Applications in structural engineering, control systems, and transportation Search space reduction techniques Hybrid algorithm design Publication Trends show a consistent focus on optimization algorithms ( Big Bang-Big Crunch , Differential Evolution ), with applications spanning airport operations , structural design , and preventive control . His work emphasizes algorithm hybridization and convergence improvements. Project Leadership includes: Industrial data collection systems AI-assisted service systems for concrete plants Hydrophore control systems under ERP regulations Electrically heated underwear design

• Computational Linguistics
• Psycholinguistics
• Language Processing
• +4 more

Richard Futrell is an Associate Professor at the University of California, Irvine (UCI), affiliated with the Department of Language Science. He leads the Language Processing Group, focusing on computational models of human and machine language processing. His work bridges information theory, Bayesian cognitive modeling, and natural language processing (NLP) interpretability. University of California, Irvine Department of Language Science Language Processing Group leader His research examines how linguistic structures emerge from cognitive and communicative pressures. Key areas include dependency locality, surprisal theory in sentence processing, and efficiency-driven language evolution. He investigates how memory constraints, predictability, and information density shape syntactic and morphological patterns across languages. Recent publications analyze code-switching efficiency, syntactic priming, ERP component modeling, and agent-based language contact simulations. His work frequently employs Bayesian modeling, neural network analysis, and cross-linguistic corpora to uncover universal principles in language processing. ACL Best Paper Award (2024) Best Paper Award for Computational Modeling of Language (2023) Marr Prize for Best Student Paper (2017) He has developed datasets like SPACER for error repair analysis and contributed to phonotactic learning frameworks. His collaborations span cognitive scientists, computational linguists, and neuroscientists, advancing understanding of language production, comprehension, and structural optimization.

• Complexity Science
• Urban Systems
• Urban Scaling Laws
• +7 more

Elsa Arcaute is a Professor of Complexity Science at the Centre for Advanced Spatial Analysis (CASA) at University College London. She is a physicist with expertise spanning mathematical physics, urban systems, and complexity science. Her work bridges theoretical physics with practical applications in urban planning and policy. Her educational background includes a PhD in Theoretical Physics from the University of Cambridge (2006) and a Masters in Mathematics (part III of the Mathematical Tripos). She began her career in theoretical physics with research on Clifford algebras applied to Penrose's twistors before transitioning to complex systems during a visit to Prof. Henrik Jensen at Imperial College London. Arcaute's research focuses on modeling urban systems through the lens of complexity science, with particular emphasis on urban scaling laws, hierarchical structures in cities, and the definition of city boundaries. She applies network theory, percolation theory, and multifractal methodologies to analyze urban infrastructure, socio-economic patterns, and spatial inequality. Her work often involves interdisciplinary collaboration with economists, geographers, and data scientists. Analysis of her recent publications reveals a strong focus on urban complexity, with significant contributions to understanding city hierarchies, commuting networks, knowledge spillovers, and the impact of digital platforms on urban systems. Her research demonstrates how complex systems theory can provide novel insights into urban dynamics, scaling phenomena, and spatial organization. Arcaute has been involved in several major research projects, including an EPSRC grant on Digital Economies, an ERC-funded project MECHANICITY (led by Prof. Michael Batty) focusing on morphology, energy, and climate change in cities, and a MacArthur-funded project on smart cities and policy. She serves as a Review Editor for Frontiers in Energy Systems and Policy and has contributed to numerous publications that have garnered significant attention across academic and policy circles. Her work has been referenced in policy sources, news outlets, and social media, demonstrating the real-world impact of her research.