جست‌وجوی استاد و پژوهشگر

• Social Welfare
• Public policy
• Consumer Behaviour
• +۴ مورد دیگر

Luke Greenacre is a Senior Lecturer in the Department of Marketing at Monash University, affiliated with the Monash Business School and Impact Labs. His research focuses on social impact through business activities, particularly in improving retail environments for Indigenous communities and studying numerical cognition using neuroscientific methods. He coordinates the Monash Business Behavioral Lab (MBBL) and teaches courses including Digital Communications and Social Media Marketing. Research Expertise: Combines discrete choice experimentation, neuroscientific methods, and qualitative approaches. Key areas include public policy, consumer behavior, and social welfare. His work addresses health equity in remote Indigenous communities and cognitive processes related to numerical understanding. Grants & Projects: Contributed to NHMRC-funded initiatives like RE-FRESH (2018–2023) and Healthy Stores 2020 (2018–2021), focusing on food retail interventions. Also involved in policy submissions regarding cashless debit card reforms and Indigenous economic inclusion. Awards: Received the 2006 Citation for Outstanding Contributions to Student Learning, recognizing his teaching impact. Media engagements include commentary on ABC Radio and Gizmodo regarding Indigenous welfare and cognitive studies. Labs/Teams: Committee member of the Monash Business Behavioral Lab, facilitating interdisciplinary research projects involving physiological methods and experimental design.

Stephen Houlgateمشاهده پروفایل

استاد

• German Idealism
• Hegel Studies
• Metaphysics
• +۴ مورد دیگر

Stephen Houlgate is Professor of Philosophy at the University of Warwick, specializing in German Idealism with a primary focus on Hegel's systematic philosophy. His current research centers on Hegel's Science of Logic , particularly the doctrines of being and essence, while maintaining active engagement with Kant, Nietzsche, Spinoza, and contemporary philosophical debates. His research interests span Hegelian metaphysics , political philosophy , aesthetics , and philosophy of religion . Houlgate challenges post-Hegelian misinterpretations (notably Heidegger's critique), arguing for Hegel's immanent speculative method that develops without systematic presuppositions. He emphasizes overlooked connections between Hegel, Heidegger, and Derrida regarding the deconstruction of 'essence,' while exploring Hegel's relevance to modern issues like civil society and poverty. Houlgate's scholarly impact is reflected in major publications including Hegel on Being (2022), The Opening of Hegel's Logic (2006), and co-editing A Companion to Hegel (2011). His work demonstrates consistent thematic development across three decades, increasingly integrating Hegel's logic with political, aesthetic, and religious dimensions while maintaining rigorous engagement with primary texts. Houlgate teaches MA-level modules on Hegel's Science of Logic and Kant's Critique of Pure Reason , directing advanced philosophical inquiry at the University of Warwick. His editorial work with the Hegel Society of America and Hegel Society of Great Britain underscores his leadership in the field, though no specific research grants or advising activities are documented in the available materials.

LIM Shi Yingمشاهده پروفایل

استادیار

• Healthcare Informatics
• Digital Transformation
• Platforms & Innovation
• +۳ مورد دیگر

Dr. LIM Shi Ying is an Assistant Professor in the Department of Information Systems and Analytics at the National University of Singapore (NUS School of Computing). She holds a Ph.D. in Information Systems from The University of Texas at Austin, an M.P.H. in Health Management from Yale University, and a B.A. in Molecular & Cell Biology (Immunology) and Economics from UC Berkeley. Her research focuses on digital entrepreneurship, healthcare IT, and computational social science, emphasizing strategic reorientations in nascent ventures and digital artifact impacts. She has been recognized with teaching awards and nominations for best papers at ICIS and HICSS. Education: Ph.D. (UT Austin), M.P.H. (Yale), B.A. (UC Berkeley) Affiliations: NUS School of Computing, McCombs School of Business (UT Austin), Yale School of Public Health Her research explores how digital tools and platforms enable creative problem-solving in uncertain markets, particularly in healthcare and digital ecosystems. Notable projects include analyzing startup trajectories to product-market fit and investigating institutional barriers in digital health innovation. Collaborations span industries including hospitals, pharmaceuticals, and the WHO. Publications highlight themes like generativity in user innovation (e.g., IKEA hacks), platform versioning impacts, and telemedicine coordination. Awards include teaching excellence and multiple best paper nominations for work on resource mobilization and digital health ventures.

Lan Wangمشاهده پروفایل

استاد

• Internet Architecture
• Network Security
• Wireless Sensor Networks
• +۷ مورد دیگر

Lan Wang is a Professor in the Department of Computer Science at the University of Memphis, temporarily assigned as a Program Director at the NSF. She holds a PhD in Computer Science from UCLA (2004). Her research focuses on Internet architecture, network security, and wireless sensor networks, with major grants from NSF, NIST, and DoD, including a $15M NSF-funded 'Named Data Networking' project. She has served as Department Chair (2016-2023) and is an IEEE Senior Member. Dr. Wang's research emphasizes scalable, reliable, and secure Internet infrastructure. She has pioneered advancements in named-data networking (NDN), including protocols for adaptive forwarding, secure access control, and efficient traffic management. Her work extends to applications in smart cities, public safety, and healthcare data sharing. She has received prestigious awards including the Willard R. Sparks Eminent Faculty Award (2022) and Dunavant Professorship (2021). Her teaching spans courses like Networking and Information Assurance, Advanced Computer Networks, and Wireless and Mobile Computing. She actively promotes gender diversity in CS, co-organizing events like the 'Networking Networking Women' panel at SIGCOMM. Her grants total over $15M, including NSF’s NDN project and university-funded initiatives. She advises the Women in Computing student chapter and has served on over 50 conference committees.

• Data Visualization
• Machine Learning
• Neural Networks
• +۵ مورد دیگر

Professor Masa Takatsuka is a faculty member in the School of Computer Science at The University of Sydney, holding the rank of Professor. He serves as Associate Head of School (Postgraduate). His research focuses on data visualization, machine learning, and human-computer interaction, with notable contributions in spectral clustering, neural networks, and collaborative systems. He teaches courses such as COMP5048 Visual Analytics, COMP5116 Design of Networks & Distributed Systems, and others. Research interests include: Data visualization techniques (e.g., SOM-based methods) Graph neural networks and spectral clustering algorithms Interactive systems for large displays and collaborative environments Geospatial analysis and visualization tools like GeoVISTA Studio Recent publications span topics like random projection forests in graph convolutional networks (2023), topology-aware clustering (2018), and crowd-powered evaluation visualization (2017). His work emphasizes practical applications in domains like medical data analysis and social media sentiment exploration. He has secured grants including ARC Linkage Projects (2011, 2010) and industry partnerships. Current research students include Michael ASHSHIDDIQ PODBURY working on topological clustering methods. Labs/teams: Collaborations involve UnderworldGUI (geodynamic modeling tools) and projects leveraging self-organizing maps (SOM) for multidimensional data analysis.

• Computer and Network Security
• Computer Networking
• Network Modeling and Performance Evaluation
• +۴ مورد دیگر

Cliff C. Zou is a Professor at the Department of Computer Science, University of Central Florida (UCF), and Program Coordinator for Master's degrees in Digital Forensics and Cyber Security and Privacy. He serves as a UCF Cybersecurity and Privacy Cluster member, Point-of-Contact for UCF CAE-CD/CAE-R designations, and leads the Data Systems Group. With a Ph.D. from University of Massachusetts, Amherst (2005), and B.S./M.S. from USTC, he has received numerous awards including the UCF-TIP Award (2013, 2024), Best Paper Awards, and Fellowships. Ph.D., Electrical & Computer Engineering, University of Massachusetts, Amherst (2005) M.S., Automation, University of Science & Technology of China (USTC) (1999) B.S., Automation, USTC (1996) His research spans Computer and Network Security , IoT Security , Blockchain Systems , Wireless Network Security , and Malware Analysis . Recent work focuses on adversarial machine learning, side-channel attacks, encrypted traffic classification, and secure IoT architectures. His publications (2025-2020) highlight trends in deep learning-based defense , WiFi fingerprinting , TrustZone security , and malware propagation . Scientific Awards: UCF Teaching Incentive Program (TIP) Award (2024, 2013) Best Paper Award (2023) Best Student Paper Award (ACSAC 2007) Guo Moruo Scholarship (USTC, 1996) Graduate Fellowships (University of Massachusetts, 1999-2001) Prof. Zou has advised 14 PhD graduates and numerous Master's/BS students, many now holding academic/industry roles. His funded projects include NSF grants (DGE-2325452, DGE-2042996, DGE-1723587, DGE-1915780), US Army PEO STRI collaborations, and Florida Center for Cybersecurity seed grants. He leads the cyberforensic.net educational platform and has contributed to free IoT security labs for professionals.

• Media Business
• Technology
• Public Policy
• +۶ مورد دیگر

David Lieberman is an Associate Professor of Media Management at The New School’s School of Media Studies. He joined in 2017 after a distinguished career in journalism, specializing in media finance, technology, and public policy. His work has spanned Deadline.com, USA Today, TV Guide, and BusinessWeek, where he investigated industry shifts like the rise of the internet and streaming services. He holds a B.A. from Washington University, M.A.s in American Culture and Journalism from the University of Michigan, and a Certificate in Economics and Business Journalism from Columbia University’s Knight-Bagehot Fellowship. Research interests include media business strategy, technology’s impact on journalism, ethical decision-making, and corporate governance. He has taught courses like Media Ethics, Strategic Content Management, and Writing for Media Managers. Awards include the 2014 WERT Prize for media ethics writing and the 2001 Maxwell Media Award. His publications analyze executive compensation, streaming strategies, and podcasting’s role in public media. He balances academic rigor with industry insights, offering students a unique perspective on media management challenges.

Lucas Osbornمشاهده پروفایل

استاد

• Intellectual Property Law
• Patent Law
• Digital Technology and Law
• +۳ مورد دیگر

Lucas Osborn serves as Professor and founder/director of the Intellectual Property Law Program at Campbell University’s Norman Adrian Wiggins School of Law, while maintaining an active practice as Of Counsel at Michael Best & Friedrich LLP specializing in IP litigation, prosecution, and licensing for digital technologies including 3D printing, software, and chemical engineering applications. Education: Harvard Law School, Juris Doctor (J.D.), 2004 Texas A&M University, Bachelor of Science (B.S.), summa cum laude, 2000; Chemical Engineering Research Interests: Professor Osborn’s scholarship critically examines intellectual property law’s adaptation to technological disruption, with concentrated expertise in patent law and the legal implications of 3D printing/digital manufacturing. His work analyzes copyright authorship in AI-generated content, trademark protection for virtual goods, and regulatory frameworks for emerging technologies. The Cambridge University Press publication 3D Printing and Intellectual Property (2019) established foundational analysis for this rapidly evolving field. Analysis of his 15 most recent publications reveals three dominant trends: (1) doctrinal challenges in applying traditional IP frameworks to digital fabrication, (2) boundary expansions for trademark protection in virtual environments, and (3) policy proposals for balancing innovation incentives against public access in the digital age. His scholarship consistently bridges theoretical legal analysis with practical industry implications. Awards and Honors: Campbell University’s D. P. Russ, Jr. and Walter S. Jones, Sr. Alumni Award for Research Excellence (2016) Campbell University’s Law Dean’s Excellence in Research Award (2014) The Best Lawyers in America©, Litigation – Patent (2024–Present) Professor Osborn leads law students on annual Panama “Study & Service” trips combining legal education with community development, demonstrating his commitment to experiential learning. His research impact is evidenced by citations in major publications including Wall Street Journal and Bloomberg News, along with his influential four-year appointment (2014-2019) to the Organisation for the Prohibition of Chemical Weapons Confidentiality Commission. As director of Campbell’s Intellectual Property Law Program, he has cultivated an interdisciplinary academic environment connecting law students with industry professionals through specialized coursework, guest lectures from patent practitioners, and technology-focused moot court competitions addressing contemporary IP dilemmas.

Beth Trushkowskyمشاهده پروفایل

دانشیار

• Database Systems
• Human Computation
• Crowdsourcing
• +۴ مورد دیگر

Beth Trushkowsky is an Associate Professor in the Computer Science Department at Harvey Mudd College. Her research focuses on integrating human computation into database systems, with a particular emphasis on adaptive query processing and scalable data management. She leads an NSF-funded project on Adaptive Query Processing for Crowd-Powered Database Systems , exploring how human computation can enhance query execution efficiency in hybrid systems. Her research interests include crowdsourcing, scalable databases, and cloud computing. Notable work includes the Dynamic Filter algorithm (HCOMP 2017), which uses adaptive scheduling to optimize crowd-powered query processing. She has also contributed to systems like CrowdQ for crowdsourced query understanding and SCADS for distributed storage scalability. Dr. Trushkowsky teaches courses such as Database Systems (CS 133) and Computer Systems (CS 105) . She has advised numerous undergraduate researchers, including Harry Aung, Flora Gallina-Jones, and Cienn Givens, through NSF-funded projects and campus initiatives. Her work has been recognized with a Best Paper Award at ICDE 2013 . Key collaborations include projects with Tim Kraska, Michael J. Franklin, and Purnamrita Sarkar on crowdsourcing enumeration queries. Her lab’s research has been presented at venues like the AAAI Conference on Human Computation and the Tapia Diversity in Computing conference.

Summer L. Gibbsمشاهده پروفایل

استاد

• Nerve-Specific Fluorophores
• Image-Guided Surgery
• Cyclic Immunostaining
• +۳ مورد دیگر

Summer L. Gibbs is a Professor and the Douglas Strain Endowed Professor of Biomedical Engineering at Oregon Health and Science University (OHSU). She specializes in developing novel contrast agents and imaging technologies for clinical translation, with a focus on nerve-specific fluorescence imaging and theranostic applications. Education: B.S., 2003, Whitworth College Ph.D., 2008, Dartmouth College (Thayer School of Engineering) Postdoctoral Fellow at Harvard Medical School and Beth Israel Deaconess Medical Center Research Interests: Her lab develops nerve-specific fluorophores (e.g., near-infrared agents) to improve surgical precision and reduce nerve injury. She also pioneers cyclic immunostaining (cyCIF) for multiplex microscopy, enabling spatial analysis of cancer phenotypes and treatment efficacy. Recent work includes imaging tumor margins, drug distribution, and hybrid cancer-immune cells as metastasis biomarkers. Labs/Teams: Her interdisciplinary team collaborates across biomedical engineering, oncology, and surgery to advance translational imaging tools for clinical use.

Giancarlo Crocettiمشاهده پروفایل

استادیار

• Data Science
• Distributed Analytics
• Web Data Mining
• +۲ مورد دیگر

Giancarlo Crocetti is an Assistant Professor in the Department of Computer Science, Mathematics and Science at the Collins College of Professional Studies, St. John's University. His teaching focuses on data science, distributed analytics, and web data mining. He holds a Doctor of Professional Studies (D.P.S.) in Applied Computing from Pace University, along with Master's degrees in Data Mining (Central Connecticut State University) and Computer Science (La Sapienza University, Rome). Education: D.P.S., Applied Computing, Pace University M.S., Data Mining, Central Connecticut State University M.S., Computer Science, La Sapienza University - Rome His research interests span cognitive science and semantic representation of knowledge. Crocetti actively contributes to cutting-edge fields like telemedicine analytics, biomarker development for Parkinson's disease, and ensemble models in histological examination. His work bridges computer science with healthcare applications through innovative data mining techniques. Notable research includes developing algorithms for social conversation analysis in NSCLC patients and creating a think tank simulator for virtual expert consultations. His publications demonstrate expertise in both foundational computer science and applied biomedical informatics.

Wangzhong Muمشاهده پروفایل

مدرس ارشد

• Sustainable Metallurgy
• Microstructure Physics
• Alloy Design
• +۳ مورد دیگر

Prof. Wangzhong Mu is a Senior Lecturer (Docent) in the Department of Materials Science and Engineering at KTH Royal Institute of Technology, Stockholm. His research focuses on sustainable metallurgy, microstructure physics, and alloy design. He leads the thermo-physical property analysis section in the Hultgren Lab and is affiliated with Digital Futures at KTH. Educations: PhD in Materials Science, KTH Royal Institute of Technology (2015) MSc/Bachelor's in Materials Science, Northeastern University, China Research Interests: Inclusion engineering and microstructure-property correlations in steels High-entropy alloy design using digital tools (AI/thermodynamic modeling) In-situ characterization via confocal microscopy and multiscale analysis Recycling-oriented steel production and CO2 reduction strategies Grants/Projects (selected): SSF Strategic Mobility Grant (2023-2024): Clean steel for sustainable future VINNOVA Mobility Grant (2022-2024): Hydrogen-based metallurgy STINT Project (2022-2023): Inclusion engineering for green steel EIT RawMaterials (ENDUREIT, 2019-2021): Durable steels at intermediate temperatures Labs/Teams: Hultgren Lab (materials characterization), Digital Futures (AI-driven metallurgy), and international collaborations with Hanyang University (South Korea), IIT Bombay (India), and Tohoku University (Japan).

Gillian Doyleمشاهده پروفایل

استاد

• Media Economics
• Media and Cultural Policy
• Digital Media Convergence
• +۴ مورد دیگر

Gillian Doyle is a Professor of Media Economics at the University of Glasgow's School of Culture and Creative Arts (Theatre, Film & Television Studies). She leads the MSc in Media Management and is a leading scholar in media economics, cultural policy, and digital media transformation. Her research focuses on media ownership, PSM sustainability, and the economic implications of digital convergence. Key roles include Principal Investigator for the ESRC-funded 'PSM and the Digital Challenge' (2023-2026) and Co-Investigator for the Creative Industries Policy & Evidence Centre (2018-2028). She has held visiting professorships at the University of Oslo and University of Navarra. Awards include the 2021 Journal of Media Economics Honour Award and the EMMA Prize for scholarship. Her work spans academic leadership, policy advising (e.g., Ireland's Future of Media Commission), and editorial roles across top journals. She explores issues like SVoD impacts on PSM, AI's role in media economics, and global media pluralism. Notable publications include Television Production in Transition (2021) and The Rise and Fall of the UK Film Council (2015). Gillian is a sought-after advisor for EU-funded initiatives and international bodies, emphasizing media policy's societal and economic dimensions.

• Augmented Reality
• User Experience
• Virtual Environments
• +۵ مورد دیگر

Frank Biocca is a Professor in the Department of Informatics at New Jersey Institute of Technology (NJIT). His research focuses on augmented reality, user experience, virtual environments, and human-computer interaction. He has led or co-led multiple federally funded projects, including studies on interactive deception analysis, wearable augmented reality interfaces, and the molecular mechanisms of RNA processing. Biocca’s work bridges technology design and psychological impacts, with applications in health communication, transportation, and media studies. He has authored over 100 publications and contributed to interdisciplinary collaborations across computer science, neuroscience, and social sciences. Key research projects include the NSF-funded 'Mobile Infospaces' initiative (2002-2006), exploring augmented reality interface design, and the ongoing 'POLYAMACHINES' project (2007-2022) investigating RNA polyadenylation mechanisms. His recent publications address algorithmic transparency in news systems, spatial presence in digital displays, and trust in mobility-as-a-service technologies. Biocca has advised numerous projects at NJIT, integrating cutting-edge technologies like spatial augmented reality and VR headsets. His contributions to HCI and media studies have been recognized through sustained academic engagement and collaborations with institutions worldwide. Current research trends emphasize ethical implications of AI-driven media and immersive technology’s role in health interventions.

• Complex Event Processing
• Healthcare Informatics
• Semantic Computing
• +۵ مورد دیگر

Fabio Persia is a Professor at the University of Naples Federico II with an extensive publication record spanning 15 years (2009-2025), demonstrating continuous academic engagement. His research portfolio spans multiple institutions through collaborations with over 70 co-authors, most notably Daniela D'Auria (43 publications), Mouzhi Ge (17), and Giovanni Pilato (14). Dr. Persia's research interests focus on the intersection of semantic computing, event processing, and practical applications. His work evolved from foundational contributions to multimedia recommender systems (2013) to developing the ISEQL interval-based surveillance event query language (2016), and most recently to healthcare AI applications. He has pioneered complex event processing frameworks for video surveillance, created multi-agent systems for epilepsy detection (PredictMed-epilepsy), and explored social sensing for personalized routing during the pandemic. His recent work increasingly integrates large language models with healthcare monitoring systems, reflecting current AI trends. Analysis of his publication trends since 2020 reveals a strong healthcare focus (65% of recent work), particularly in patient monitoring architectures, clinical decision support, and medical AI integration. His publications demonstrate consistent methodological rigor across domains, often combining semantic computing with real-time event processing to address practical challenges in healthcare and social computing contexts. Dr. Persia has served as guest editor for six special issues in the International Journal of Semantic Computing (2023-2025) covering Robotic Computing, Transdisciplinary AI, and Multimedia Computing, confirming his leadership in these research communities. His editorial roles complement his extensive publication record, which includes 25 journal articles and 76 conference papers. His collaborative research includes significant projects with Stefania Costantini on patient monitoring systems, with Mouzhi Ge on multimedia recommenders, and with Sven Helmer on interval joins and event detection. While specific grant information isn't detailed in publications, his sustained output suggests successful funding from multiple sources. His current research trajectory indicates growing emphasis on LLM integration in medical contexts and context-aware systems for public health applications.