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Krisztina DomjanView profile

Lecturer

• Diversity, Equity, Inclusion, Belonging
• Inclusive and Transparent Teaching Practices
• AI Literacy Skills and Digital Citizenship Competencies
• +6 more

Krisztina Domjan is a progressive educator at American University's School of Professional & Extended Studies and Office of Global & Immersive Studies (OGIS), where she serves as the past Chair of the OGIS Faculty Council and holds the distinction of being CTRL's inaugural Artificial Intelligence in Instruction Faculty Fellow for AY23-24 and AY24-25. With extensive experience across higher, adult, and secondary education settings in Hungary, England, Germany (military base), and the USA, she teaches courses including Complex Problems Seminar: iGen Reboot, Intercultural Understanding, and College Writing. Educational Background: PhD in English Language and Intercultural Communication (2013), Anglia Ruskin University, Cambridge, UK M.A. in European Languages and Intercultural Studies (2003), Anglia Ruskin University, Cambridge, UK B.A. in Teaching English as a Foreign Language (1999), Kodolányi János University College, Szekesfehervar, Hungary Dr. Domjan's research focuses on inclusive and transparent teaching practices, AI literacy skills, intercultural understanding, and Generation Z intellectual habits. As a WATESOL President (2023-2024) and active member of TESOL, ISTE, and Heterodox Academy, she champions culturally responsive pedagogy and digital citizenship competencies. Her work emphasizes creating equitable learning environments that bridge cultural divides while leveraging technology for enhanced student engagement and retention. Her scholarly output demonstrates a clear trajectory toward understanding the intersection of AI and education, with recent publications exploring how generative AI can be integrated responsibly into academic settings while maintaining academic integrity. These works reveal her commitment to developing practical frameworks that help both educators and students navigate the rapidly evolving digital landscape of higher education. Notable Recognition: Artificial Intelligence in Instruction Faculty Fellow (AY23-24, AY24-25) Milton and Sonia Greenberg Scholarship of Teaching and Learning Award (2021-2022) Inclusive Pedagogy Fellow (AY19-21) Jack Child Teaching with Technology Award (2018) As an advocate for lifelong learning and innovative teaching practices, Dr. Domjan has presented extensively at national conferences on topics ranging from inclusive academic discussions to AI-assisted teaching. Her leadership in professional organizations like WATESOL demonstrates her commitment to building collaborative learning communities that advance educational excellence across cultural boundaries.

• Digital Health
• Antimicrobial Resistance (AMR)
• Global Health
• +3 more

Sundeep Sahay is a Professor at Digital Innovation (University of Oslo) with affiliate roles at Sustainable Healthcare Education (UiO Faculty of Medicine), The Information School (University of Sheffield), and HISP India . His research bridges technology and global health, focusing on Antimicrobial Resistance (AMR) , climate-health intersections, and digital health systems in low- and middle-income countries (LMICs) , particularly India. He employs Action Research and social science theories to address health inequities, structural violence, and the realities of digital personal data in maternal/childcare. Research Themes : AMR through health inequity lens, digital identity work in community health, data governance in LMICs, and sociotechnical design for global health. Geographic Focus : Spanning 30+ countries in Africa, Asia, Latin America, and Europe, with emphasis on India, Ethiopia, Jordan, and Mozambique.

• Biostatistics
• Public Health
• Epidemiology
• +9 more

Dr. Shuvo Bakar is a Senior Lecturer in the Sydney School of Public Health at the University of Sydney, within the Faculty of Medicine and Health. He holds a PhD in Statistics from the University of Southampton, UK, and has prior experience as an Assistant Professor at Yale University, Lecturer at the Australian National University, and Scientist at Data61 (CSIRO). His research focuses on statistical methods applied to public health challenges, including Bayesian hierarchical modeling, machine learning, spatio-temporal analysis, and their applications in epidemiology, clinical trials, and environmental health. Dr. Bakar's research interests span statistical methodologies such as Bayesian adaptive designs, small area estimation, and spatial risk modeling, alongside applications in child health, infectious diseases, and extreme weather impacts on health. He is an active member of academic communities, including the Royal Statistical Society (RSS Fellow), Statistical Society of Australia, and the Australian Trials Methodology Research Network. His work also involves collaborations on grants totaling millions in funding, addressing topics like climate change impacts on health inequity and cardiovascular disease prevention in remote regions. Education: PhD in Statistics (University of Southampton, UK) Key Research Themes: Obesity, Diabetes, Cardiovascular Disease; Reproductive, Maternal & Child Health Grants/Projects: Includes NHMRC-funded trials on respiratory infections in First Nations children and MRFF grants for cardiovascular risk reduction in regional Australia. Dr. Bakar's contributions extend to editorial roles for Nature Scientific Reports and Discover Public Health , and his research has been published in journals like PloS One , Climatic Change , and Journal of the Royal Statistical Society .

• Agent-Based Modelling
• Computational Social Science
• Natural Language Processing (NLP)
• +3 more

Dr. Sjoukje Osinga is an Assistant Professor in the Information Technology group at Wageningen University's Department of Social Sciences. Her research focuses on computational social science, natural language processing (NLP), and big data applications in agriculture. She holds a PhD from Wageningen University on agent-based modelling of knowledge management in the pig sector, with fieldwork in China. She contributed to EU H2020 projects like Cybele (big data in agriculture) and Dragon (knowledge transfer of ABM tools). She is a member of the SiLiCo Centre, specializing in simulating complex systems through agent-based simulations. Education: Artificial Intelligence and Cognitive Science (Groningen and Leuven, 1991) Research interests include agent-based modelling, big data analytics for agriculture, machine learning, and knowledge management. She explores topics like digital twins in health and agriculture, and sentiment analysis in policy-making. Her work bridges technical innovation with societal challenges, such as sustainable farming practices and compliance strategies in regulatory environments. Publications span agent-based models for pork supply chains, machine learning applications in crop forecasting, and digital twin frameworks for agriculture. She actively engages in interdisciplinary projects addressing data integration and policy implications of emerging technologies.

Hoda HassanView profile

Associate Professor

• Computer Networks
• Mobile Ad Hoc Networks (MANETs)
• Artificial Intelligence
• +1 more

Hoda Hassan is an Associate Professor in the Department of Information Sciences and Technology at George Mason University. Her work bridges theoretical and applied domains in computer networks, Mobile Ad Hoc Networks (MANETs), and the convergence of Artificial Intelligence (AI) and the Internet of Things (IoT). Education : PhD in Computer Engineering from Virginia Tech (2010), MSc and BSc in Computer Science from the American University in Cairo (2005, 1992). Research Interests focus on designing intelligent and secure network systems. She has developed innovative frameworks, including a BLE computer-aided design toolkit for MANETs, which was commercialized by Skymind Malaysia. Her work spans AI integration in IoT, anomaly detection, cloud computing models, and network architecture evolution. Academic Leadership includes pioneering roles in founding The Knowledge Hub (TKH) Universities in Egypt and leading the Computing and Computer Science Program at Coventry University's UK offshore branch (2019–2022). Her research has been supported by a significant 2 million Egyptian Pound grant from ITAC Egypt (2015–2017).

• Health Services Research
• Narrative Interventions
• Hypertension Control
• +3 more

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.

Danny DolevView profile

Professor

• Distributed Computing
• Fault-Tolerant Systems
• Algorithms
• +4 more

Prof. Danny Dolev is a distinguished academic holding the Berthold Badler Chair in Computer Science at The Hebrew University of Jerusalem's Rachel and Selim Benin School of Computer Science and Engineering. He is an ACM Fellow and IEEE Fellow. His research focuses on distributed computing, fault-tolerant systems, algorithms, and secure protocols. He has held leadership roles, including Director of his school (1999–2002) and Chair of the Israeli National Committee for Information Technology (1994–1998). Education: B.Sc., The Hebrew University of Jerusalem, 1971 M.Sc., Weizmann Institute of Science, 1973 PhD., Weizmann Institute of Science, 1979 Research Interests: Danny Dolev's work spans distributed algorithms, Byzantine fault tolerance, consensus protocols, and hardware algorithms. His contributions include groundbreaking research on self-stabilizing systems, secure communication, and fault-tolerant clock synchronization. His HEX and Chronos protocols exemplify innovations in scalable synchronization and network security. Publications: His recent work emphasizes Byzantine agreement, asynchronous fault tolerance, and game-theoretic distributed systems. Key papers address optimal resilience in consensus algorithms and secure multi-party computation. Awards: ACM Fellow (2010) IEEE Fellow (2004) Grants & Leadership: Member of the Scientific Council, European Research Council (2010–2014) Chair of Israel's National Committee for Information Technology (1994–1998) Leadership roles at IBM Almaden Research Center (1987–1993) and Stanford University (1979–1981) Labs & Teams: His research group at Hebrew University focuses on distributed systems, with collaborations on projects like Steward (wide-area Byzantine replication) and Self-Stabilizing Circuits .

Lalitha NaveenView profile

Associate Professor

• Empirical Corporate Finance
• Corporate Governance
• Executive Compensation
• +2 more

Lalitha Naveen is an Associate Professor of Finance at Temple University's Fox School of Business and Management. Her research focuses on empirical corporate finance, with emphasis on corporate board structure and executive compensation. She has previously taught at Purdue University and Georgia State University and brings industry experience from her four-year tenure in financial services, specializing in credit and equity analysis. Education: Chemical Engineering (B.E.), MBA, PhD in Finance from Arizona State University Dr. Naveen's research examines how corporate governance mechanisms influence firm policies and value. Key areas include board dynamics, executive pay structures, and regulatory impacts on financial institutions. Her work has been published in top-tier journals such as the Review of Financial Studies and Journal of Accounting and Economics. Recent publications highlight trends in board diversity, risk oversight under Dodd-Frank, and pay-for-luck asymmetry. Her articles have been recognized with Best Paper Awards, and she frequently presents at prestigious venues like the American Finance Association and SEC. Scientific Awards: Best Paper Awards Temple University Lindback Distinguished Teaching Award Outstanding Faculty of the Year Award Dr. Naveen has advised undergraduate, MBA, and doctoral students and has collaborated with researchers across institutions. Her industry background adds practical insights to her academic work in corporate finance and governance.

• Computer Science
• Machine Learning
• Data Science
• +4 more

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.

Helga HuntleyView profile

Assistant Professor

• Geophysical Fluid Dynamics
• Oceanography
• Atmospheric Science
• +7 more

Dr. Helga Huntley is an Assistant Professor in the Department of Mathematics at Rowan University's College of Science & Mathematics. Her research applies mathematical principles to solve complex problems in oceanography and atmospheric science, with expertise in Geophysical Fluid Dynamics, Transport and Dispersion Analysis, and Applied Dynamical Systems. She teaches mathematics courses ranging from remedial to graduate level and mentors students in research projects related to her expertise. Her educational background includes: Ph.D. in Mathematics from the Courant Institute, New York University M.S. in Mathematics from the Courant Institute, New York University B.S. in Mathematics from the University of Notre Dame Dr. Huntley's research examines transport patterns in ocean flows, their predictability, and integration of models across different scales. She investigates data assimilation to improve models based on observations and sea ice dynamics. As a data manager in a multi-institutional research consortium, she has developed expertise in preparing, archiving, and sharing diverse research data from lab experiments to field observations and model outputs. Analysis of Dr. Huntley's publication record reveals a strong focus on oceanographic processes using Lagrangian methods to study surface flows and transport phenomena. Her work spans theoretical mathematical modeling, field data analysis, and practical applications related to marine pollution, predator distribution, and climate impacts. A recurring theme is the investigation of submesoscale ocean dynamics and their implications for understanding larger-scale oceanographic processes, with consistent publication output in high-impact journals. Dr. Huntley actively encourages students interested in her research areas to contact her for research opportunities. While specific grant information isn't detailed in the provided materials, her extensive publication record across multiple high-impact journals suggests successful research funding. Her work often involves collaboration with interdisciplinary teams across various institutions. As a data manager in a multi-institutional research consortium, Dr. Huntley has developed expertise in research data management best practices. Her research methodology often involves oceanographic instrumentation and drifter technologies to collect data on surface ocean dynamics, contributing to our understanding of complex fluid dynamics in natural systems.

• Parallel Computing
• Distributed Computing
• Algorithms
• +4 more

Ramachandran Vaidyanathan (Vaidy Vaidyanathan) is the Elaine T. and Donald C. Delaune Distinguished Professor in the School of Electrical Engineering and Computer Science at Louisiana State University (LSU). His research focuses on parallel and distributed computing, reconfigurable architectures, interconnection networks, and autonomous robot coordination. Developed the Reconfigurable Multiple Bus Machine (RMBM) model Authored the book Dynamic Reconfiguration: Architectures and Algorithms Holds multiple patents for optical networking and reconfigurable hardware Research Interests : Parallel and distributed algorithms Reconfigurable computing models Autonomous robot coordination Optical interconnection networks Scientific Awards : US Patent 6,332,050 US Patent 6,792,175 US Patent 8,862,854 US Patent 9,257,988 US Patent 10,282,347 Advising and Grants : Supervises students in reconfigurable computing and distributed systems. Collaborates with institutions on NSF-funded projects. Labs : Leads the Reconfigurable Computing Group at LSU.

Guven DemirelView profile

Associate Professor

• Supply Chain Management
• Operations Research
• Network Science
• +4 more

Dr. Guven Demirel is a Reader in Supply Chain Management at Queen Mary University of London's School of Business and Management, specializing in interdisciplinary research on complex systems. He holds a PhD in Physics from the Max Planck Institute and has prior roles as a Lecturer at the University of Essex and Research Fellow at the University of Nottingham. His research focuses on supply network dynamics, sustainability, innovation, and food waste reduction, employing methods from network science, operations research, and game theory. He is a Fellow of the Higher Education Academy and supervises doctoral research on topics such as vaccine supply chain coordination, digital innovation in logistics, and closed-loop battery supply chains. Current students include Ayomide Thompson-Ajayi, Mariam Saad Salib, Milad Asadpour, and Saeide Jamshidpour Poshtahani. Key research themes include supply chain resilience (e.g., food loss mitigation via 'ugly veg' supply chains), blockchain applications in finance, and bifurcation analysis for network instabilities. His work bridges operations research with natural science methodologies. Awards: Fellow of the Higher Education Academy Centers: Member of the Centre for Globalisation Research (CGR)

• Cross-sector partnerships
• Coopetition
• Organizational theory
• +4 more

Lea Stadtler serves as Associate Professor of Strategy at Grenoble Ecole de Management, specializing in cross-sector collaborations and coopetition within the Department of Management and Technology. Her research examines organizational tensions through paradox and organizational theories, with focus on partnerships addressing societal grand challenges. Her research centers on cross-sector partnerships, coopetition, and organizational paradoxes, investigating dynamics in global health, sustainable development, and humanitarian contexts. Key themes include partnership sustainability, dark side effects, colonial legacies in business-NGO relationships, and place-based collaboration strategies. She employs critical perspectives to analyze power structures and unintended consequences in partnership ecosystems. Analysis of her 2022-2025 publications reveals escalating focus on partnership complexity in high-reliability contexts like global health, with growing attention to South-South cooperation, political embeddedness of innovation networks, and systemic approaches to Sustainable Development Goals implementation. Dr. Stadtler has received four international awards for her scholarly contributions and case studies. She currently serves as Associate Editor for Business and Society , contributing to academic discourse on cross-sector collaboration ethics and effectiveness. No information was provided regarding student advising, research grants, laboratory affiliations, or team leadership roles in the source materials.

Rafail OstrovskyView profile

Professor

• Algorithms
• Cryptography and Computer Security
• Theoretical Computer Science
• +3 more

Rafail Ostrovsky is a Professor of Computer Science and Mathematics at UCLA , affiliated with the Center for Information and Computation Security at the Henry Samueli School of Engineering and Applied Science. He earned his Ph.D. in Computer Science from MIT in 1992 under Silvio Micali. Research Focus: His work spans cryptography, algorithms, and theoretical computer science, emphasizing secure multi-party computation, zero-knowledge proofs, oblivious RAM, and high-dimensional data analysis. Applications include privacy-preserving data mining, systems security, and quantum cryptography. Article Trends: Recent publications address concurrent security protocols, robust secret sharing via expander graphs, and efficient multi-party computation. Topics intersect computational complexity, cryptographic reductions, and practical security implementations. Awards: Recipient of the 2018 RSA Conference Excellence in Mathematics Award , 2017 IEEE Fellow , and multiple IEEE/ACM honors. Holds 14 U.S. patents and over 290 refereed papers. Advising: Supervised 27 Ph.D. students, many now professors at top institutions. Served on 40+ program committees, including FOCS 2011 Chair. Labs: Leads the CICS research center, fostering interdisciplinary work in information security and cryptographic systems.

Zhang Yi-ChengView profile

Professor

• Econophysics
• Information economics
• Statistical physics
• +2 more

Zhang Yi-Cheng is a Full Professor of Theoretical Physics at the University of Fribourg, Switzerland, since 1992. His academic career includes visiting professorships at Nordita (Denmark) and INFN (Italy), and postdoctoral research at Brookhaven National Lab (USA). He specializes in interdisciplinary fields such as Econophysics , Statistical physics , and Complex network sciences , focusing on applications in financial markets, social systems, and global trade networks. His research explores topics like market dynamics, network structures, and algorithmic ranking systems. Notable awards include the 2011 Honorary Director of the Complexity Sciences Research Center and recognition as a 2011 Chinese '1000 Talents' awardee . His work bridges physics-based methodologies with socio-economic systems, addressing challenges in information-driven economies and networked societies. Zhang has contributed to influential studies on ranking algorithms, percolation theory in networks, and the interplay between economic complexity and trade. His interdisciplinary approach has led to advancements in understanding systemic risks, market inefficiencies, and the role of information in shaping global economic interactions.