جست‌وجوی استاد و پژوهشگر

Jonathan Hillمشاهده پروفایل

دانشیار

• Religion
• Higher Education
• Quantitative Methods
• +۳ مورد دیگر

Dr. Jonathan Hill is an Associate Professor and Department Chair of Sociology and Social Work at Calvin University. He holds a BA from Grove City College, an MA and PhD from the University of Notre Dame. His research focuses on religion's role in higher education, quantitative methods, and emerging adulthood. Key themes include faith transitions among college students, the interplay between science and religion, and the impact of educational settings on spiritual development. His work combines sociological theory with empirical analysis, leveraging surveys and qualitative methods to explore contemporary religious and moral issues. Research interests prominently feature topics like student conceptions of purpose, the influence of campus environments on religious identity, and digital culture's impact on spiritual practices. His recent studies have examined how social media shapes religious engagement and how universities address existential questions about meaning and purpose. Teaching responsibilities include core courses in sociology theory, religion's sociological implications, and statistical methods. Publications span peer-reviewed articles in sociology and religion journals, book chapters, and reviews. Notable works include analyses of young Catholic adults' faith journeys and the evolving relationship between science education and religious belief systems. His interdisciplinary approach bridges sociology, education studies, and religious studies to address 21st-century societal challenges. Contact: 616-526-7259 | Office: 443 Hiemenga Hall | Email: jonathan.hill@calvin.edu

Emma Dafouz Milneمشاهده پروفایل

استاد

• English-medium instruction in higher education
• Content and Language Integrated Learning (CLIL)
• Language policy in internationalized universities
• +۳ مورد دیگر

Emma Dafouz Milne is a Full Professor of English Linguistics at the Department of English Studies , Complutense University of Madrid. Her work focuses on English-medium instruction (EMI) and language policies in internationalized higher education, with a particular emphasis on Content and Language Integrated Learning (CLIL) and multilingual university settings (EMEMUS). She has led two Spanish Ministry-funded projects (INTER-LICA, SHIFT) and directed the UCM research group EnGHINE since 2006. Her ROAD-MAPPING framework (developed with Ute Smit) has become a cornerstone for analyzing EMI contexts globally. She serves as Secretary of the ICLHE Executive Board and participates in the COST European Action CLILNetLE network. Her scientific output spans over 90 international journal articles and book chapters, covering topics like academic discourse , disciplinary literacies , and language integration . Recent books include Researching English-Medium Higher Education (Routledge, 2023) and the forthcoming Disciplinary Literacies in English-Medium Higher Education (Routledge, 2025). Awards and recognition include: Stanford University Top 2% Scientists Ranking (2024) 20 Most Relevant Academics at Complutense University (2023) Salvador de Madariaga Research Fellowship (2022) As a visiting researcher and scientific advisor to international projects like ELEMENTAL (UK), Towards a New Model of Communicative Competence (Denmark), and CoRe (Netherlands), she bridges European research initiatives. Her work informs institutions navigating globalization challenges in language policy and academic practice.

Julien Massonمشاهده پروفایل

استاد

• Education Sciences
• Motivation Theory
• School Well-being
• +۳ مورد دیگر

Julien Masson is a University Professor in Education and Training Sciences at the ISPEF faculty of Lumière Lyon2 University. His research focuses on motivation dynamics, school well-being, and health promotion strategies in educational settings. He completed his PhD in 2011 at Paris 10 University, examining motivation factors in primary school academic success. Current roles include leading the M2 MEEF program and research in the ECP laboratory. Key contributions span over 50 publications, emphasizing health promotion interventions, social skills measurement, and multi-level school health programs. His work bridges psychological theories with practical educational applications, addressing issues like test anxiety and health literacy among students. Education: PhD in Education Sciences (Paris 10, 2011) Research Themes: Motivation theory, school well-being, health promotion frameworks Recent Projects: Alliance for Health project (school-community health interventions) Publications highlight innovative approaches to co-creation in health promotion and cross-cultural validation of assessment tools. He collaborates internationally on topics like endocrine disruptors and youth health behavior trends.

Sofia Kalakouمشاهده پروفایل

استادیار

• Urban Transport Planning
• Air Transport Management
• Technology Integration in Operations
• +۲ مورد دیگر

Sofia Kalakou is an Assistant Professor in the Department of Marketing, Operations and General Management at ISCTE Business School, where she teaches operations management across undergraduate, graduate, and postgraduate programs. She also serves as Director of the Industrial Management and Logistics degree program. Her research focuses on urban and air transport planning, technology integration in operations, sustainable practices, and performance evaluation. She coordinates four EU-funded projects on operations management and new technologies. Dr. Kalakou holds a doctorate and master’s in Transport Systems from ISCTE, a civil engineering diploma, and prior experience as a transport and mobility consultant. Her work bridges academic research with practical applications, addressing challenges like airport terminal optimization, drone delivery systems, and gender-sensitive mobility policies. She has published extensively on topics ranging from lean six sigma applications in telecom repair to SWOT analysis of Greek seaplane operations. Her funded projects emphasize sustainable transport solutions and capacity-building for local authorities implementing MaaS and smart mobility initiatives. Key contributions include frameworks for setting transport sustainability targets and analyzing passenger behavior in airports through activity-based modeling.

• 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.

Jacob Whitehillمشاهده پروفایل

دانشیار

• Applied Machine Learning
• Speech and Speaker Recognition
• Educational Data Mining
• +۳ مورد دیگر

Jacob Whitehill is an Associate Professor in the Department of Computer Science at Worcester Polytechnic Institute (WPI), affiliated with the Learning Science & Technologies (LST) program. His research focuses on applying machine learning to education and human-computer interaction, including speech recognition, emotion analysis, and automated classroom observation. He leads the NSF-funded project Developing New Scientific Instruments for Classroom Observation and collaborates on the AI Institute for Student-AI Teaming (iSAT) . His research interests span Applied Machine Learning (e.g., multi-modal systems, speaker diarization), AI for Education (e.g., automated instructional evaluation, child speech recognition), and Emotion Recognition (e.g., affective computing in classrooms). Recent work emphasizes classroom observation tools and improving student-teacher interaction analysis through video and audio data. Notable projects include: NSF-funded classroom observation tools AI Institute for Student-AI Teaming (iSAT) Schmidt Futures-funded Hybrid Human-Agent Tutoring for math education His team includes PhD students Xinlu He (Data Science), Jiani Wang (Computer Science), and Yiwen Guan (Computer Science), along with visiting scholar Cecilia Tivir. He advises students on topics like speaker recognition, educational data mining, and computer vision in classroom settings. Grants and collaborations include NSF, Schmidt Futures, and industry partnerships. His lab develops tools for automated feedback on teaching practices, leveraging LLMs and multimodal data. For more details, contact jrwhitehill@wpi.edu .

Juhyun Baeمشاهده پروفایل

استادیار

• Welfare States
• Social Welfare Policy
• Public Opinion Analysis
• +۴ مورد دیگر

Juhyun Bae is an Assistant Professor in the Department of Political Science at the University of Texas - Rio Grande Valley (UTRGV). She earned her Ph.D. in Public Affairs from the Truman School of Government and Public Affairs at the University of Missouri, following a Master's and Bachelor's in Public Administration from Yonsei University (South Korea). Prior to academia, she worked as a project researcher at the Korean Women’s Development Institute (KWDI). Her research focuses on welfare states, social welfare policy, and public opinion, particularly addressing labor market inequality and policy solutions for precarious non-standard workers like app-based gig workers. She emphasizes redesigning social security systems to enhance job security for these vulnerable groups. Teaching experience spans undergraduate and graduate courses at UTRGV and the University of Missouri, including Public Policy Analysis, Research Methods, and Public Administration. She has received strong student feedback for her ability to clarify complex concepts and provide constructive feedback. Her publications explore topics such as basic income policy diffusion, pandemic unemployment assistance impacts, and gig economy labor market dynamics. She holds an Online Teaching Certificate from the University of Missouri and has presented methodological workshops on econometric techniques like TWFE Staggered DID.

• Health Services Research
• Narrative Interventions
• Hypertension Control
• +۳ مورد دیگر

Dr. Jeroan Allison is Chair and Professor at UMass Chan Medical School's Department of Population and Quantitative Health Sciences. Trained as a primary care physician and epidemiologist (Harvard SPH), he leads research in narrative interventions for health behavior change, with continuous funding from NIH, AHRQ, and RWJF. His work spans hypertension control in Vietnam, AI-driven health communication, and implementation science for non-communicable diseases. Harvard School of Public Health: Master of Science in Epidemiology University of Alabama at Birmingham: MD Samford University: BS in Chemistry Research interests include narrative medicine , health disparities , mHealth , and health services research . He has published extensively on hypertension interventions in Vietnam, digital health tools, and tobacco cessation strategies using peer engagement. Recent publications focus on AI applications , global implementation science , and social determinants of health . His team has developed culturally adapted interventions for HPV vaccination and hypertension management using community storytelling methods. Scientific contributions include: Co-Editor-in-Chief of Medical Care Developing simulation-based training for research assistants Designing peer recruitment models for smoking cessation Dr. Allison holds multiple grants and leads the UMMS-Vietnam research collaboration , focusing on late-stage translation research in low-resource settings.

• Computer Science
• Machine Learning
• Data Science
• +۴ مورد دیگر

Yong Zhang is affiliated with Tsinghua University's Research Institute of Information Technology in Beijing, China. His research focuses on machine learning, optimization algorithms, edge computing, and their applications in areas like time series analysis, federated learning, and sensor networks. He has collaborated on projects involving neural networks, scheduling problems, and privacy-preserving techniques. Education: Yong Zhang earned a PhD in Computer Science and Engineering from Fudan University in 2007. His academic career includes roles at institutions like the Chinese Academy of Sciences and the University of Hong Kong, reflecting a strong interdisciplinary background. Research Contributions: His work spans theoretical computer science, algorithm design, and applied machine learning. Notable areas include developing efficient scheduling algorithms for energy systems, creating robust federated learning frameworks for industrial demand forecasting, and advancing methods for sentiment analysis using multimodal data. He has also contributed to biomedical engineering through smartphone-based health monitoring systems. Collaborations: He frequently collaborates with researchers at institutions like the University of Electronic Science and Technology of China, Nanyang Technological University, and The Hong Kong Polytechnic University. Key projects involve data caching optimization in edge computing, distributed algorithms for dynamic networks, and combinatorial optimization problems. Labs & Future Work: His team explores cutting-edge topics in AI-driven systems, including trust-aware machine learning, distributed resource allocation, and real-time data processing for IoT applications. Current research emphasizes scalable solutions for complex optimization challenges in both academic and industrial settings.

Shivanjali Khareمشاهده پروفایل

استادیار

• Internet of Things (IoT) Data Security
• Hybrid Cryptography
• Wireless Sensor Technologies
• +۳ مورد دیگر

Dr. Shivanjali Khare is an Assistant Professor in the Computer Science department at the University of New Haven, affiliated with the Tagliatela College of Engineering. She leads the SARI (Security and ARtificial Intelligence) Research Lab and teaches courses in Artificial Intelligence and Data Mining. Her research focuses on enhancing cybersecurity through hybrid cryptography, IoT data security, machine learning, and wireless sensor technologies to empower user protection in the digital age. Education: Ph.D. and M.S. in Computer Science from the University of Louisiana at Lafayette (2021 and 2016, respectively). Research Interests: IoT Data Security Hybrid Cryptography Systems Wireless Sensor Networks Big Data Sharing Mechanisms AI-Driven Cybersecurity Solutions Publications highlight contributions in IoT security protocols, cryptographic algorithm optimization, and machine learning applications. Notable work includes energy-efficient secure IoT drone systems (ESIoD) and ensemble learning for anomaly detection in smart homes. Recent outreach includes conducting cybersecurity seminars for senior citizens through the New Haven Free Public Library, demonstrating her commitment to societal impact and public education.

Dario Fioreمشاهده پروفایل

استاد پژوهشی

• Cryptography
• Computer Security
• Cloud Computing Security
• +۳ مورد دیگر

Dario Fiore is an Associate Research Professor at the IMDEA Software Institute in Madrid, Spain. He holds a Ph.D. in Computer Science from the University of Catania, Italy (2010), and has held postdoctoral positions at institutions including Max Planck Institute for Software Systems (Germany), New York University (USA), and École Normale Supérieure (France). His research focuses on Cryptography and Security, particularly designing provably-secure cryptographic primitives for Cloud computing applications, including secure data delegation, homomorphic authenticators, zero-knowledge proof systems, functional encryption, and homomorphic encryption. He advises multiple PhD students and has led projects like the ERC Consolidator Grant PICOCRYPT (2021–2026). He has been recognized with awards such as the ACM SIGMM Test of Time Honourable Mention (2022) and the IET Information Security Premium Award (2020). Education: Ph.D. in Computer Science, University of Catania, Italy (2010) Visiting Student: IBM T.J. Watson Research Center and New York University (USA) Research Interests Fiore’s work bridges theoretical and practical aspects of Cryptography, emphasizing efficiency and real-world applications. Key areas include: Secure delegation of computation/data to Cloud systems Homomorphic encryption and authenticators Zero-knowledge proof systems (e.g., zkSNARKs) and functional encryption Cryptography for privacy-preserving machine learning and decentralized systems Grants & Projects ERC Consolidator Grant PICOCRYPT (2021–2026) NEC Laboratories Europe collaboration (2024) ESPADA and PRODIGY EU projects Awards ACM SIGMM Test of Time Honourable Mention (2022) IET Information Security Premium Award (2020) ACM CCS 2022 Top Reviewer Award Labs & Teams Fiore leads a dynamic research group with active collaborations in cryptography, including postdocs, PhD students, and industry partnerships with Protocol Labs, Nomadic Labs, and Tezos Foundation.

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.

• STEM Education
• Mathematics Education
• Interdisciplinary Learning
• +۴ مورد دیگر

Professor Lyn English is a leading academic in STEM and mathematics education at Queensland University of Technology's College of Education, Department of Curriculum. Her research focuses on interdisciplinary approaches, particularly integrating engineering and data science into early years education. She has authored or co-edited numerous books and journal articles, emphasizing the role of design-based problem solving and mathematical modeling in fostering critical thinking. English has contributed extensively to curriculum frameworks, including the 'Pattern and Structure Mathematics Awareness Program' (PASMAP), and has explored gender dynamics in mathematics achievement. She collaborates with institutions globally, such as Routledge, Springer, and the Australian Council for Educational Research, to advance educational methodologies. Her work highlights the importance of bridging theory and practice in STEM education. English’s research spans cognitive development in statistical and probabilistic reasoning, foundational mathematical concepts in primary education, and teacher professional development. She advocates for accelerating students' learning through innovative curricula like the RAMR framework and has conducted studies on pedagogical practices in diverse educational settings. Her edited volumes, including Handbook of International Research in Mathematics Education and Ways of Thinking in STEM-based Problem Solving , consolidate cutting-edge perspectives in the field. English’s contributions to conferences and symposia underscore her commitment to advancing STEM integration and addressing challenges in mathematics education research.

Katherine Mason Cramerمشاهده پروفایل

استاد

• LGBTQ+ Education
• English Education
• Teacher Preparation Programs
• +۳ مورد دیگر

Dr. Katherine Mason Cramer is a Professor and Program Chair for Middle/Secondary English Education at Wichita State University's School of Education. Her work focuses on affirming LGBTQ+ identities, inclusive pedagogy, and leveraging Young Adult Literature (YAL) to address gender diversity and intersectional identities in educational settings. She leads initiatives to disrupt heteronormative school cultures and develop queer-inclusive curricula. Education background: Holds a Ph.D., with expertise in English education and teacher preparation. Professional roles include program leadership, curriculum development, and fostering collaboration between university and K-12 educators. Research emphasizes LGBTQ+ representation in literature, teacher training for inclusive practices, and leveraging YA narratives to address societal issues. Key themes include queer youth visibility, intersectional identities, and creating safe educational spaces. Publications consistently address LGBTQ+ topics across education and literature, with recent work exploring transgender identities in middle grades texts and queer narratives in sports contexts. Her 2023-2024 articles highlight professional development strategies and curriculum integration of inclusive materials. No awards listed in available materials. Active in service roles related to teacher education program coordination and K-12/university partnerships. Operates from Hubbard Hall on Wichita State's main campus, coordinating initiatives that bridge theory and practice in English education. Engages in continuous program improvement through reflective pedagogical frameworks and digital tool integration.

• Neurosymbolic AI
• Answer Set Programming
• Visual Question Answering
• +۳ مورد دیگر

Nelson Nicolas Higuera Ruiz is a PreDoc Researcher at the Vienna University of Technology, affiliated with the Faculty of Informatics' Knowledge-Based Systems research group. His work bridges logic programming and deep learning for explainable AI. Research Focus: Neurosymbolic AI, Visual Question Answering (VQA), Answer Set Programming (ASP), and hybrid reasoning systems Projects: Leads optimization research in the LCS (2017–2025) project, developing neurosymbolic approaches for intelligent systems Key Contributions: Pioneering adaptive large-neighbourhood search algorithms for ASP optimization, modular neurosymbolic architectures, and contrastive explainability frameworks for VQA Collaborations: Active in international workshops and conferences including IJCAI, AAAI, and CLeaR, frequently collaborating with researchers like Thomas Eiter and Johannes Oetsch Publications: Focus on neurosymbolic integration, optimization algorithms, and explainability across AI, logic programming, and computer vision domains