جست‌وجوی استاد و پژوهشگر

Miya Williams Fayneمشاهده پروفایل

استادیار

• Digital Journalism
• Black Press Studies
• Media and Race
• +۳ مورد دیگر

Miya Williams Fayne is an Assistant Professor in the School of Journalism and Mass Communication at the University of Wisconsin-Madison. She holds a Ph.D. in Media, Technology and Society from Northwestern University, an M.A. in Publishing and Writing from Emerson College, and a B.A. in Print Journalism from the University of Southern California. Her research focuses on the evolving role of the Black press in the digital age, particularly exploring how entertainment news operates within the digital Black public sphere. Using qualitative methods and web metrics analysis, she examines audience engagement, misinformation dynamics, and the intersection of race and media. Notable affiliations include the Center for Critical Race and Digital Studies and the executive board of AEJMC’s Minorities and Communication Division. Her award-winning work has addressed topics like pandemic-era misinformation, Black Lives Matter media coverage, and the conceptualization of the digital Black press. Recognitions include runner-up for Journalism and Mass Communication Quarterly’s Outstanding Article Award (2020) and top paper awards from AEJMC and National Communication Association divisions. Williams Fayne has received research fellowships from Columbia University’s Tow Center, AEJMC’s Newspaper & Online News Division, and Northwestern University. Her work emphasizes advocacy journalism’s role in marginalized communities and the transformative potential of digital platforms for cultural expression and social justice.

• Internet of Things (IoT)
• Cybersecurity
• Sensor Networks
• +۳ مورد دیگر

Shiwei Fang is an Assistant Professor in the Department of Computer & Cyber Sciences within the School of Computer and Cyber Sciences at the University of North Georgia. He holds a Ph.D. in Computer Science from the University of North Carolina (2021) and a B.E. in Computer Science from the State University of New York (2015). His research focuses on IoT systems, cybersecurity, sensor networks, and edge computing, with notable contributions to multimodal analytics, privacy visualization tools, and geospatial tracking datasets. He advises the Graduate Student Organization and serves on the SCCS Academic Web Oversight Committee. Education: Ph.D., Computer Science, University of North Carolina, 2021 B.E., Computer Science, State University of New York, 2015 Research interests include IoT security, context-aware systems, and sensor fusion. His work on IoBT-MAX and GDTM datasets highlights expertise in experimentation frameworks and geospatial tracking. Recent publications explore privacy risks in IoT, AR-based privacy visualization, and efficient inference models for edge computing. He has contributed to over 25 peer-reviewed articles since 2015, with a focus on real-world IoT applications and hardware-software co-design. Service roles include faculty advising and committee participation. He teaches courses like CSCI 3170/5170 on Computer Organization, bridging theoretical computer science with practical hardware concepts.

Bright Vargheseمشاهده پروفایل

استادیار

• Software Engineering
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Bright Varghese, Ph.D., is an Assistant Professor of Computer Science at Maryville University. With 17 years of experience including 16 years in teaching, his expertise spans programming, web development, Android app development, and project management. He holds a B.E. from Manonmaniam Sundaranar University, M.E. from Vinayaka Missions University, and Ph.D. from Karunya Institute of Technology and Sciences. His research focuses on software re-modularization using hybrid heuristic approaches, deep learning for sign language recognition, and optimization algorithms. He has deployed learning management systems like Open edX LMS for web platforms and Moodle LMS for mobile applications. His academic contributions include advancing software engineering practices and integrating machine learning into educational technology solutions. Though no formal awards are listed, his work highlights innovation in both theoretical and applied computer science domains. No grants or specific lab affiliations are detailed in the provided information.

Ralf Kriegelمشاهده پروفایل

استاد

• Sports Management
• Fitness Facility Leadership
• Human Resources Management
• +۳ مورد دیگر

Prof. Ralf Kriegel holds a part-time professorship (0.5 PE) for Sports Science at the German University of Health and Sport (DHGS) in Ismaning, Faculty of Sport and Training Sciences. He concurrently serves as COO and authorized signatory at functional training movement GmbH (FTM), Munich, and previously held leadership roles in fitness management including Management Board membership at ACISO/ELEMENTS and regional manager at Migros Freizeit Deutschland GmbH/ELEMENTS. Education includes a PhD (2004) from the University of the Federal Armed Forces Munich on sports recommendations via internet applications, and a Diploma in Sports Science (1994) from the same institution. Research focuses on fitness facility management, human resources in sports sectors, and marketing strategies for fitness industries. His work bridges academic research (e.g., diabetes and exercise studies) with practical business applications in gym operations and client retention. Professional experience spans over 20 years in fitness industry leadership roles combined with academic teaching. Publications span strategic management in fitness, exercise physiology for chronic diseases, and innovative digital tools for sports recommendations.

Hemant Purohitمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Data Mining
• Natural Language Processing
• +۵ مورد دیگر

Hemant Purohit is an Associate Professor in the Department of Information Sciences and Technology at George Mason University, and Director of the Humanitarian Informatics Lab. He focuses on developing interactive intelligent systems to support emergency services and humanitarian organizations by analyzing non-traditional data sources like social media, web, and IoT using data mining, NLP, and human-centered computing. His work integrates social-psychological theories to enhance human capabilities in crisis contexts. Purohit holds a PhD in Computer Science and Engineering from Wright State University. His research has been recognized through prestigious awards including the ITU Young Innovator Award (2014), NSF CRII Award (2017), and a best paper award at IEEE/WIC/ACM Web Intelligence (2018). His lab is supported by grants from NSF and international agencies. Key research interests include crisis informatics, social computing, and AI ethics. He has led projects on adversarial scam detection, inclusive cybersecurity, and human-AI teaming for disaster response. Purohit serves on editorial boards for journals like Elsevier's Information Processing & Management and Frontiers in Big Data, and actively contributes to international conferences in his field. His work emphasizes real-world impact, bridging technical innovation with societal needs through collaborations between researchers and practitioners. Current projects address challenges in multilingual data analysis, social media activism, and resilience data repositories.

• Data Quality
• Database Systems
• Data Profiling
• +۷ مورد دیگر

Felix Naumann is a Professor at the Hasso Plattner Institute in Potsdam, Germany, specializing in data management and database systems. His research focuses on data quality, data profiling, entity resolution, functional dependencies, and database optimization. He has authored over 300 publications in top-tier conferences and journals, including VLDB, SIGMOD, and ICDE. His work bridges theoretical foundations with practical systems, such as TASHEEH for data cleaning and PRISMA for privacy-preserving schema matching. He serves as an editor for the ACM Journal of Data and Information Quality and has led initiatives on hybrid conference formats and inclusive computing. Key contributions include: Data Quality: Pioneered studies on data quality's impact on machine learning and developed tools like AutoTSAD for anomaly detection. Data Dependency Discovery: Advanced functional and inclusion dependency mining algorithms, including Hitting Set Enumeration methods. Schema Matching & Integration: Created systems like BrewER and Frost for entity resolution and schema alignment. Educational Impact: Led massive open courses in data engineering with over 10,000 participants. His work emphasizes practical applications in cultural heritage data (ReCLAIM), Wikipedia table analysis, and cross-platform data systems (RHEEMix). He collaborates extensively with industry and academia, addressing challenges in dynamic datasets and data governance.

Md Saifuddin Khalidمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Learning Analytics
• Digital Training Technologies
• +۳ مورد دیگر

Md Saifuddin Khalid is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on digital training technologies, learning analytics, and human-computer interaction in educational contexts. He leads and collaborates on projects exploring AI applications in education, adaptive learning systems, and the impact of digital tools on teaching and learning outcomes. His work contributes to UN Sustainable Development Goals related to quality education and industry innovation. Khalid actively supervises PhD students and has published extensively on topics such as generative AI for literature reviews, user satisfaction in AI chatbots, and usability of digital training technologies in industries like pharmaceuticals. Key Projects: MIXAP-EU: Developing mixed reality tools for teachers in Europe. HEGenAI: Integrating generative AI into higher education assessments. Methods for evaluating digital training technologies in pharmaceutical production. Editorial Roles: Peer reviews for journals like International Journal of Human-Computer Interaction and Computers & Education . Khalid’s research emphasizes practical applications of technology in education and industry, with a focus on improving user experiences and outcomes through systematic evaluations and design frameworks.

Franziska Pannachمشاهده پروفایل

استادیار

• Computational Linguistics
• Digital Humanities
• Semantic Web Technology
• +۴ مورد دیگر

Dr. Franziska Pannach is an Assistant Professor at the Faculty of Arts of the Rijksuniversiteit Groningen (Netherlands), affiliated with the Centre for Language and Cognition (CLCG) . She specializes in Computational Linguistics , Digital Humanities , and Semantic Web Technology , focusing on modeling narratives and mythological texts using NLP and ontologies. Her work emphasizes Open Science and cross-cultural comparisons of folktales and myths. Education : Dr. rer. nat. (PhD) in Applied Computer Science (Digital Humanities/Computational Linguistics), University of Göttingen, Germany (2024) MSc in Applied Computer Science (Digital Humanities), University of Göttingen (2019) BSc in Applied Computer Science (Computational Neuroscience), University of Göttingen (2013) Research Interests include computational approaches to mythological and folkloristic analysis, shallow ontologies for narrative comparison, and semantic web applications in cross-cultural studies. She leads the GOLEM (Graph Ontologies for Literary Evolution Models) project and contributed to the STRATA (Stratification Analyses for Mythic Narrative Materials) project. Teaching : Semantic Web Technology (MSc), Database-driven Web Technology (BSc), Digital Humanities: Tools and Methods (MSc), Analysing Data (MSc) Supervision : PhD students Pritha Majumdar (RUG) and Kristina Schneider (RUG/University of Mainz) Publications focus on narrative ontologies, mythological event annotation, and NLP for under-resourced languages. Her recent work includes the GOLEM Triple Store and shallow ontologies for myth comparison. Networks & Memberships : Member, Digital Humanities Association of Southern Africa (DHASA) since 2019 Co-founder and editor of the Journal of Digital Humanities Association of Southern Africa (JDHASA) Collaborations with institutions in Germany, South Africa, and Denmark

Zeki Bayramمشاهده پروفایل

استاد

• Semantic Web Services
• Mobile Payment Systems
• XML-based Programming
• +۴ مورد دیگر

Prof. Dr. Zeki Bayram is a full Professor and current Chairman of the Computer Engineering Department at Eastern Mediterranean University (EMU). He has served as the founding chairman of the Internet Technologies Research Center (2006) and chaired the departmental ABET committee from 2010 to 2023. His academic contributions span semantic web services, mobile payment systems, and XML-based technologies. Founded Cybersoft Bilişim Teknolojileri Limited, a dormant software company in North Cyprus Active in academic service, including thesis supervision and editorial roles Teaches courses on programming languages, automata theory, and software tools Research focuses on semantic web service composition, secure payment schemes, and declarative programming paradigms. His work integrates logic programming, constraint solving, and ontology engineering. Prof. Bayram has published extensively in journals and conferences since the 1990s, with notable contributions to formal methods in service-oriented architectures.

Damir Isovicمشاهده پروفایل

دانشیار

• Real-Time Systems
• Embedded Systems
• Scheduling Algorithms
• +۳ مورد دیگر

Damir Isovic is an Associate Professor and Vice-Chancellor for Internationalization at Mälardalen University's Academy of Innovation, Design and Technology. Previously, he served as Dean of the School of Innovation, Design and Engineering. His roles include leadership in academic administration and participation in national boards. He holds a PhD and has extensive international teaching experience. Research focuses on real-time systems, embedded systems design, and scheduling algorithms. Notable contributions include seminal work in real-time scheduling recognized by the IEEE Technical Community on Real-Time Systems. He has organized major conferences and delivered keynotes globally. His publications emphasize hybrid scheduling approaches, real-time operating systems (RTOS), media processing in resource-constrained systems, and MPEG standards. Recent work integrates memetic algorithms with fuzzy controllers and explores multi-core scheduling fairness. His research bridges theoretical scheduling models with practical embedded system implementations. No scientific awards explicitly listed in the text. Advising activities include supervising PhD students, though specific names are not provided. Lab affiliations include the Division of Networked and Embedded Systems, where he develops frameworks like GENESIS for embedded system engineering. His work emphasizes cross-disciplinary collaboration and industry partnerships in education and technology development.

• Sustainability Science
• Industrial Ecology
• Environmental Economics
• +۷ مورد دیگر

Richard Wood is an Adjunct Professor at the Industrial Ecology Programme, Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), and a part-time Professor at the School of Environment, University of Newcastle, Australia. He leads research consultancy XIO-SA, focusing on environmental-economic analysis for public good. His expertise includes sustainability science, systems approaches, and quantitative modeling techniques like carbon footprinting, life-cycle assessment, and input-output analysis. **Research Interests**: Globalization and environmental impacts of trade Sustainable consumption and production Circular economy and material efficiency Environmental footprints and policy design EXIOBASE multi-regional input-output modeling **Awards**: Recognized as a Web of Science Highly Cited Researcher (2019–2022), and Co-Editor in Chief of the Journal of Industrial Ecology. His work has produced over 100 publications, including foundational contributions to EXIOBASE, a global environmental input-output database. **Grants & Labs**: Key developer of EXIOBASE, widely used for environmental footprint quantification. Advises on methodologies for consumption-based carbon accounting and sustainable investment strategies. Active in global policy initiatives addressing climate change and biodiversity loss.

• Data Science
• Machine Learning
• Natural Language Processing
• +۱۲ مورد دیگر

Xiuzhen Jenny Zhang is a Professor of Data Science at RMIT University , affiliated with the School of Computing Technologies. Her research bridges artificial intelligence, machine learning, and social media analysis, with a focus on text mining and trustworthy data science. Her recent publications highlight expertise in point-of-interest recommendation , misinformation detection , multi-task learning , and transformer-based NLP . Key trends include applications of large language models for social good, fairness in recommendation systems , and adversarial learning for robustness. Best Paper Award at TrustCom’12 Best Short Paper Award at ADCS’2009 She leads the Text And LanguagE (TALE) research group and has supervised over 20 PhD students. Research grants include Australian Research Council and Victoria state government funding.

Angela Finnمشاهده پروفایل

مدرس ارشد

• Fashion Design
• Sustainable Fashion
• Textile Design
• +۵ مورد دیگر

Dr. Angela Finn is a Senior Lecturer at RMIT University in the Department of Fashion & Textiles , City Campus, Australia. With expertise in sustainable fashion design , fashion manufacturing , and practice-led research , she focuses on design methodology and knowledge transfer in fashion education. Teaching Interests : Fashion Design, Sustainable Fashion & Textiles, Design/Research Methodology Research Emphasis : Sustainable design strategies, technological integration in textiles, historical design adaptation Her 15 most recent publications explore themes like minimization in fashion design , luxury sustainability , and virtual teaching resources . Key subtopics include zero-waste design , regional manufacturing , and UV-protective textiles for health applications. Supervision Availability : Open to mentoring Masters or PhD students in sustainable fashion and textiles research.

• Cyber Security
• Network Security
• IoT Security
• +۳ مورد دیگر

Dr. Vasileios Vasilakis is a Senior Lecturer in Cyber Security at the University of York's Department of Computer Science. He holds a PhD in Electrical & Computer Engineering from the University of Patras, Greece. His research focuses on IoT Security, Mobile Network Security, and SDN Security, with contributions to projects like the EC H2020 SESAME and RIFE initiatives. He has supervised numerous PhD students and contributed to academic service roles such as Guest Editor in IEICE Transactions and Program Committee member for IEEE ICC and GLOBECOM. His work spans secure systems design, network protocols, and cybersecurity defenses, with recent publications addressing SDN-based intrusion detection, IoT attack mitigation, and ransomware analysis. Affiliations: York Interdisciplinary Centre for Cyber Security (YiCS), University of York Education: PhD in Electrical & Computer Engineering (University of Patras, 2011) Research Interests His research emphasizes practical cybersecurity solutions for modern networks, including: IoT Security: Developing authentication and intrusion detection mechanisms for RPL-based networks SDN/NFV Security: Designing defenses against ransomware and distributed attacks Wireless Network Security: Analyzing vulnerabilities in 5G and UAV communication systems Academic Contributions He has organized special sessions at IEEE conferences, co-authored over 120 publications, and reviewed PhD theses at multiple institutions. Current projects include secure edge computing in 5G networks and lightweight authentication schemes for IoT protocols like MQTT.

Michael Morrisمشاهده پروفایل

استاد

• Human Centered Leadership
• Human Centered Design
• Strategic HR
• +۵ مورد دیگر

Michael Morris is the Associate Dean of Undergraduate Studies and Student Affairs and the John W. Fisher Professor of Innovative Learning at the Haslam College of Business , University of Tennessee, Knoxville. His career includes leadership roles such as Director of the Smith Global Leadership Scholars program and department head at Haslam, alongside corporate experience as a metallurgical R&D special projects engineer at Teledyne Firth Sterling. His research spans Human Centered Leadership , Strategic HR , Leadership Development , and Work-Life Harmony . His work, appearing in top-tier journals like Organizational Research Methods and Family Relations , integrates machine learning for disease forecasting, HRD theories, and interdisciplinary approaches to workplace wellness. His recent publications focus on infectious disease modeling , fMRI reliability , and socioemotional wealth in family firms. He serves on editorial boards for Academy of Management Learning & Education and contributes to certifications from the National Council on Family Relations and IDEO. Past President, Academy of Human Resource Development