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Robert S.G. FletcherView profile

Professor

• Imperial History
• Global History
• Nomadic Societies
• +4 more

Professor Robert S.G. Fletcher holds dual roles as Professor of History and Kinder Professor of British History at the University of Missouri , and serves as an Honorary Professorial Fellow in the Department of History at the University of Warwick (2015-2020). His academic career spans institutions including the University of Exeter, Nuffield College (Oxford), and Princeton University. Specializing in British imperial history , global history , and nomadic societies , his research examines the intersections of empire-building, desert administration, and maritime frontiers. Recent work (2024-2025) extends to interdisciplinary collaborations with museums like the Royal Museums Greenwich , focusing on colonial expeditions, locust control campaigns, and maritime cultural heritage. His scholarship appears in leading journals including Past and Present , The English Historical Review , and Journal of Historical Geography . Publications include the award-winning monographs British Imperialism and 'The Tribal Question' (OUP, 2015) and The Ghost of Namamugi (AUP, 2019). As Principal Investigator, he led the AHRC-funded Inlands: Empires, Contested Interiors (2024) and Science in Culture projects on desert locust campaigns. Major Awards Arts and Humanities Research Council (AHRC) Leadership Fellowship (2015-2018) AHRC Science in Culture award (2018) Key Collaborations Co-edited Connected Empires, Connected Worlds with Benjamin Mountford and Simon Potter (Routledge, 2022) Contributed to The Oxford Handbook of the Ends of Empire (2018)

Hui ZhangView profile

Professor

• Computer Science
• Networking
• Data-Driven Systems
• +3 more

Hui Zhang is a Professor in the Computer Science Department at Carnegie Mellon University. His research focuses on data-driven networking systems, video streaming optimization, and network control frameworks. He has contributed to innovations in adaptive resource allocation, real-time analytics, and sustainable strategies for resource utilization. Key research themes include time-state analytics, network anomaly detection, and integrating machine learning for enhanced performance. His work addresses challenges in content delivery networks (CDNs), peer-to-peer systems, and environmental applications like waste management. Recent publications (2021–2024) highlight advancements in neural network-based prediction, timeline frameworks, and sustainable material science innovations. No scientific awards are mentioned in the provided text. His research emphasizes practical solutions for improving video quality of experience (QoE), network efficiency, and cross-disciplinary applications.

Felix Gomez MarmolView profile

Associate Professor

• Cybersecurity
• Artificial Intelligence
• Machine Learning
• +5 more

Felix Gomez Marmol is an Associate Professor at the University of Murcia's Faculty of Informatics, Department of Information and Communication Engineering. His research focuses on cybersecurity, artificial intelligence, network security, and IoT security. He holds a PhD in Computer Science from the University of Murcia (2010), supervised by Dr. Gregorio Martínez Pérez. Key research interests include adaptive intrusion detection systems, dark web analysis, and AI-driven cybersecurity frameworks. He leads the Intelligent Systems and Telematics research group and previously contributed to the Sistemas Inteligentes group. His work emphasizes practical applications such as the SCORPION Cyber Range platform for cybersecurity training and gamification. Recent projects involve detecting hate networks on social media, optimizing malware defense using transfer learning, and developing SIEM systems for IoT environments. His contributions span technical papers on cybersecurity education, ethical hacking fundamentals, and blockchain-based security solutions. Prof. Gomez Marmol has collaborated on initiatives like the COBRA framework for simulating advanced persistent threats (APTs) and the COnVIDa dashboard for pandemic-related data analysis. His research bridges theoretical advancements with real-world cybersecurity challenges.

Ahmet ÖZMENView profile

Professor

• Computer Vision
• Traffic Monitoring Systems
• Sensor Systems
• +6 more

Prof. Dr. Ahmet ÖZMEN is a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Software Engineering. He has held various administrative positions including Head of the Software Engineering Department (2019-2028) and Director of the Computer Research and Application Center (2019-2022). With extensive experience in academia since 1991, he has made significant contributions to computer vision, traffic monitoring systems, and sensor technologies. Sakarya University: Professor (2019-present), Associate Professor (2011-2019) Dumlupınar University: Assistant Professor (2001-2011), Research Assistant (2000-2001, 1993-1998) Istanbul Technical University: Research Assistant (1991-1993) Prof. ÖZMEN's research spans computer vision applications for traffic monitoring, indoor air quality systems, parallel computing, and sensor technologies. His work bridges theoretical computer science with practical engineering applications, particularly in developing vision-based systems for nighttime vehicle detection, traffic flow monitoring, and environmental sensing. His interdisciplinary approach combines machine learning, image processing, and embedded systems to solve real-world problems in transportation and environmental monitoring. His publication record shows a clear evolution from parallel and distributed systems in his early career to computer vision and sensor applications in recent years. The majority of his recent work focuses on traffic monitoring systems using computer vision techniques, particularly for nighttime conditions, and indoor air quality monitoring systems using sensor networks. His research demonstrates strong industry and societal relevance, with applications in smart transportation, environmental protection, and educational technology. TÜBİTAK Publication Awards (2006, 2008, 2009, 2010) Physical implementation award from TÜBİDER (2008) Microsoft Certified Professional Certificate (2005) YÖK overseas study scholarships (1993, 1998) Elginkan graduate scholarships (1990, 1991) Prof. ÖZMEN has supervised numerous graduate students across multiple institutions, with a focus on practical engineering problems. His research has been supported by various projects including TÜBİTAK projects, institutional research grants, and industry collaborations. He has led significant research initiatives in traffic monitoring systems, indoor air quality monitoring, and educational technology platforms. His administrative leadership has included directing research centers and shaping curriculum development in software engineering. His work has involved establishing research teams focused on computer vision applications, sensor network development, and educational technology. These teams have produced numerous publications, developed practical systems, and trained the next generation of computer engineers. Current research directions include advanced traffic monitoring systems using deep learning and multi-camera setups for urban planning applications.

• performance management
• business analytics
• strategic management accounting
• +3 more

Dr. Anna Raffoni serves as a Senior Lecturer in Accounting and Finance at Loughborough Business School, Loughborough University, and holds the strategic role of Programme Lead for Social Science Research (Business and Management Studies). She joined the institution in January 2015 after accumulating academic experience at the University of East Anglia, Cranfield University School of Management, and the University of Bologna, establishing herself as a key contributor to the Accounting and Finance research group. Her academic foundation includes a PhD in Management Accounting (specializing in customer value management) awarded by the University of Florence in 2009, which continues to inform her interdisciplinary research trajectory. Raffoni's scholarly work centers on performance management, business analytics, and strategic management accounting, with publications appearing in premier journals including the European Journal of Operational Research, British Accounting Review, Production, Planning & Control, and Omega. Her research uniquely bridges quantitative operations research methods with accounting frameworks, particularly examining how data analytics transforms traditional performance measurement in banking and service sectors through techniques like machine learning and data envelopment analysis. Analysis of her 15 most recent publications (2012-2024) reveals a clear evolution toward integrating advanced analytics with performance management systems. She has pioneered multidimensional efficiency measurement in banking branches, explored total cost of ownership in supply chains, and investigated strategic performance measurement adoption, consistently demonstrating how operational research methods solve real-world accounting challenges while advancing theoretical models. Her scientific recognition features the Dean’s Award for Early Career Teacher of the Year (2017), acknowledging her excellence in undergraduate and postgraduate instruction. In her capacity as Programme Lead, Raffoni shapes research strategy and supports faculty development across Business and Management Studies. While specific supervisees and grant details aren't documented in available materials, her leadership role and active publication record indicate substantial engagement in research mentorship and academic community building. She actively collaborates within Loughborough's Accounting and Finance research group, contributing to interdisciplinary projects that address contemporary challenges in financial management through analytical approaches, with emerging work suggesting increasing focus on artificial intelligence applications in performance systems.

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.

• Artificial Intelligence
• Image Processing
• Electrical and Electronic Engineering
• +4 more

Professor Maja Pantic is a Professor of Affective & Behavioural Computing at the Department of Computing, Faculty of Engineering, Imperial College London. Her research focuses on artificial intelligence, image processing, and audio-visual speech recognition. She leads projects in multimodal systems, including facial analysis, emotion recognition, and speech-driven animation. Affiliations include the AI for Healthcare initiative, the Artificial Intelligence Network, and the Machine Learning Network. Her work addresses challenges in real-time speech enhancement, cross-modal learning, and synthetic data generation. Recent publications emphasize advancements in audiovisual speech synthesis, lip-reading, and emotion-aware systems. She has contributed to datasets like KAN-AV and SEWA DB, advancing research in face analysis and affective computing.

• Public Pedagogy
• Popular Culture Studies
• Curriculum Studies
• +3 more

Jennifer A. Sandlin is an Associate Professor of Justice and Social Inquiry in the School of Social Transformation at Arizona State University (ASU). Her work focuses on public pedagogy, popular culture, and the intersections of education with consumption. She teaches courses on consumption and education, social justice, and cultural pedagogy. Sandlin holds a Ph.D. in Adult Education from the University of Georgia (2001), with a dissertation on educational programs for welfare recipients. She has authored/co-edited numerous books, including Paranoid Pedagogies (2018) and Critical Pedagogies of Consumption (2010), and has published widely in journals such as Journal of Consumer Culture and Adult Education Quarterly . Her research explores anti-consumerism activism, informal learning through popular culture, and the theory/practice of public pedagogy. She co-edits the Journal of Curriculum and Pedagogy and serves on editorial boards for multiple academic journals. Sandlin has received awards including the Early Career Award from the Commission of Professors of Adult Education (2005) and recognition as an Emerging Scholar by the American Association of University Women (2005). Her recent work addresses conspirituality, eco-horror, and pandemic pedagogies, reflecting her commitment to critically examining cultural and social structures. She actively engages in public scholarship through co-edited volumes and research on topics like Disney’s cultural curriculum and the political economy of consumption.

• Multilayer Networks
• Data Analysis
• Graph Mining
• +3 more

Abhishek Santra is a Senior Lecturer in the Department of Computer Science and Engineering at The University of Texas at Arlington. He holds a PhD in Computer Science from UT Arlington (2020), and earlier degrees from the University of Delhi (BS 2011, MS 2013). His research focuses on multilayer networks, graph mining, and data analysis, with contributions to complex data modeling and visualization tools like MLN-geeWhiz and ModViz. He is also a Post-Doctoral Research Scholar in the Information Technology Lab (ITLab), led by Dr. Sharma Chakravarthy. Teaching interests include Discrete Structures, Database Systems, and DBMS Models. He has advised numerous students on research projects and thesis work, such as substructure discovery in multilayer networks and video content analysis. Recent grants include REU-funded projects for dashboard development (2022–2025). His service roles include committee memberships in the CSE department and organizing technical workshops like QVC and MLN-DIVE. Key research areas involve analyzing multi-source data through multilayer network frameworks, with applications in healthcare monitoring, big data analytics, and visualization systems. Publications span conferences like BDA, IC3K, and IEEE BigDataService, emphasizing algorithmic innovation for network-centric data problems.

Xinya DuView profile

Assistant Professor

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Multimodal Models (VLMs)
• +7 more

Xinya Du is an Assistant Professor in the Department of Computer Science at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. She holds a Ph.D. in Computer Science from Cornell University and completed a postdoctoral fellowship at the University of Illinois at Urbana-Champaign. Her research focuses on advancing trustworthy and impactful AI systems, particularly in Natural Language Processing (NLP), Large Language Models (LLMs), and Vision-Language Models (VLMs). Key research areas include Document understanding and knowledge acquisition Trustworthy reasoning and hallucination detection in LLMs Applications of NLP in scientific research and multimodal systems Alignment of AI systems with human values Dr. Du has received notable awards such as the NSF CAREER Award (2024), Amazon Research Award (2023), and recognition as a Spotlight Rising Star in Data Science. She has authored over 30 papers in top venues like ACL, EMNLP, NeurIPS, and CVPR, contributing to foundational work in multimodal reasoning, LLM evaluation, and automated scientific hypothesis generation. She teaches advanced courses including CS 6301: Special Topics in Computer Science - Deep Learning for NLP and actively mentors students in research projects. Her work has been highlighted in major media and led to impactful open-source contributions, including repositories for event extraction and LLM benchmarking.

• Arts-Based Research
• Transformative Education
• Creative Ecologies
• +3 more

Dr. Mary Ann Hunter is Associate Professor in Education at University of Tasmania, specializing in arts-based enquiry and transformative educational practice. Her work explores creative ecologies and reflective supervision frameworks for educators, examining how curiosity and nomad creativity shape learning across formal and informal contexts. Research examines: Arts-based peacebuilding methodologies Reflective supervision for educational leaders Creative ecologies in learning environments Arts-sustainability education connections Community cultural development She leads international networks including IMPACT (initiative for conflict transformation) and coordinates interdisciplinary research projects evaluating arts-based programs like Terrapin Puppet Theatre's dementia care initiative and APRA AMCOS's Songmakers residency program. Honors include the Australian Philip Parsons Prize for Research and Excellence in Leadership Award from the Australian Council for Educational Leadership.

Dana SajdiView profile

Associate Professor

• Islamic history
• Arabic and Ottoman historiography
• urban history
• +4 more

Dana Sajdi is an Associate Professor of History at Boston College, affiliated with the Morrissey College of Arts and Sciences. She holds a B.A. from the American University in Cairo and a Ph.D. from Columbia University. Her research focuses on premodern social and cultural history of the Arabic-speaking Eastern Mediterranean, with a current project, In Defense of Damascus , exploring the city’s history through local descriptions from the 12th to 20th centuries. She pioneered the Podcasting the Ottomans course, establishing a History Department Pod Studio, enabling undergraduates to produce scholarly podcasts. This initiative has been featured on the Ottoman History Podcast. Her work bridges academia and public engagement, emphasizing interdisciplinary approaches to history. Key publications include analyses of Syrian sacred landscapes (2022), responses to historical theory (2021), and studies on Ottoman Levant literacy and urban life (2020). Her scholarship integrates textual analysis, spatial history, and cultural critique, reflecting her commitment to innovative historical methodologies.

Cassidy EllisView profile

Assistant Professor

• Critical Cultural Communication
• Media Studies
• Rhetorical Criticism
• +7 more

Cassidy Ellis is an Assistant Professor at the University of Cincinnati, specializing in critical cultural communication, media studies, and rhetorical criticism. Her academic work intersects with grassroots activism in reproductive justice, particularly in the Deep South, West, and Southwest regions of the U.S. PhD in Cultural Studies, Media Studies, Rhetorical Criticism (University of New Mexico, 2023) M.A. in Communication - Identity & Difference (University of Alabama, 2016) B.A. in History (University of Alabama, 2013) Her research focuses on unpacking ideologies in social debates, settler colonialism, and the material histories shaping contemporary discourses. She critically examines anti-abortion rhetorics, particularly how race and personhood are discursively constructed within the social imaginary. Her methodological approach includes autoethnography, qualitative research, and intersectional frameworks. Her recent publications in journals like The Journal of Autoethnography and Fat Studies Journal , as well as chapters in edited collections, emphasize praxis-based scholarship, queer futurities, and critical resistance to colonial narratives. Her work bridges academic inquiry with community organizing, informed by her co-founding of the Yellowhammer Fund and other reproductive justice initiatives. Graduate Student Activist Award, NCA Activism and Social Justice Division Top Student Paper, Southern States Communication Association Gender Studies Division Doctoral Fellowship for Inclusive Engagement, University of Denver Ellis has served editorial and professional roles, including peer reviewing for international journals and organizing within the Southern States Communication Association. Her community service spans abortion funds, doula projects, and patient advocacy, reflecting her commitment to material change.

Steven LivingstoneView profile

Associate Professor

• Data Science
• Affective Computing
• Human Computer Interaction
• +4 more

Steven Livingstone is an Associate Professor in the Department of Computer Science at Ontario Tech University, Faculty of Science. His research focuses on affective data science, applying machine learning and statistical modeling to understand emotion and its disorders. He leads the Affective Data Science Lab (ADSL), specializing in emotion recognition technologies using physiological data like EEG and motion capture. Livingstone holds a PhD from The University of Queensland (2008) and has published over 70 peer-reviewed papers, with over 2,400 citations. His RAVDESS dataset is widely used in speech emotion recognition research. His research interests span data science, affective computing, and music's role in emotion. Recent work emphasizes data provisioning for deep learning applications. Livingstone teaches courses including Scientific Data Analysis and Information Visualization. He actively mentors undergraduate and graduate students in his lab, focusing on research assistantships in emotion technology development. Key contributions include studies on musical tempo’s physiological effects, Parkinson’s disease facial mimicry deficits, and ensemble performance dynamics. His work has been featured in The Atlantic, NBC Today, and on the cover of Informatik Spektrum. The ADSL lab collaborates on projects combining data analytics with human-computer interaction to advance emotion-aware systems.

Magnus BångView profile

Associate Professor

• Artificial Intelligence
• Human-Computer Interaction
• Automation
• +3 more

Magnus Bång is a Senior Associate Professor at the Department of Computer and Information Science (IDA) at Linköping University, affiliated with the Artificial Intelligence and Integrated Computer Systems (AIICS) division. His research focuses on advancing human-AI collaboration, automation systems, and AI applications in domains like cyberphysical production, air traffic management, and process industries. He has contributed to interdisciplinary projects involving real-time human-automation interfaces, explainable AI dashboards for industrial processes, and safety-critical systems integration. His work bridges theoretical AI advancements with practical implementations in sectors such as aviation and maritime logistics. Notable collaborations include research with the Swedish Maritime Administration to enhance shipping efficiency through AI and interactive visualization. He actively participates in EU-funded initiatives like the Horizon 2020 projects targeting autonomous systems and air traffic control. Research interests span MLOps for industrial systems, glyph-based communication design for human-automation teams, and operator modeling across traffic management domains. His publications emphasize cross-disciplinary solutions to challenges in automation and human-centric AI design.