جست‌وجوی استاد و پژوهشگر

Tiziana Cervi-Wilsonمشاهده پروفایل

استادیار

• Digital Literacies
• Language Learning
• Mobile Assisted Language Learning
• +۵ مورد دیگر

Tiziana Cervi-Wilson serves as an Assistant Professor in the Faculty of Arts and Humanities at Coventry University, where she teaches Italian language modules from beginner to advanced levels. She functions as Course Director for all language modules and serves as internal moderator for undergraduate and postgraduate courses including 'Materials Evaluation and Design in a Multimedia World,' 'English Language Teaching in Practice,' and 'Computer Assisted Language Learning: Theory and Practice.' Dr. Cervi-Wilson holds an M.A in Management from Coventry University and maintains Fellowship status with the Higher Education Academy. Her academic journey includes previous roles as Lecturer in Italian within Coventry's Modern Languages BA program and as Academic Business, Language and Culture Adviser for the university's Placement and Employability Unit. She has also taught at Warwick University, demonstrating her broader institutional experience. Her research centers on digital literacies, language learning, mobile assisted language learning, and gamification. Notably, she developed 'ImparApp,' a beginners' Italian language learning application, in collaboration with colleagues from Coventry's Disruptive Media Lab. Her work investigates how mobile technologies can enhance language acquisition both inside and outside traditional classroom settings, with particular emphasis on developing employability skills through language education. Dr. Cervi-Wilson's scholarly output reveals a consistent focus on technology-enhanced language learning, with recent publications examining virtual reality applications, mobile learning platforms like Duolingo, and the integration of digital tools into language curriculum. Her research demonstrates how gamified approaches and location-based learning create immersive language experiences that extend beyond conventional classroom boundaries, connecting physical and digital learning environments. She has been actively involved in significant external projects including serving as co-Project leader for Routes into Languages Project for the West Midlands Consortium and representing the Language Horizons project. Dr. Cervi-Wilson has presented her work at numerous institutions including Birmingham, Aston, Southampton, and Warwick Universities, and has provided external examination services for Nottingham Trent University. At Coventry University, she has been instrumental in developing the university-wide language program within an employability framework, demonstrating the direct connection between language proficiency and career advancement. Her collaborative work with the Disruptive Media Learning Lab has produced innovative teaching methodologies that blend physical environments with digital learning experiences to enhance language acquisition.

• Computational Social Science
• Social Media Analysis
• Machine Learning for Social Good
• +۶ مورد دیگر

Kenny Joseph is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. He serves as Associate Director of the AI and Society Institute for Artificial Intelligence and Data Science. PhD in Societal Computing from Carnegie Mellon University (2016) MS in Societal Computing from Carnegie Mellon University (2012) BS in Computer Science from Carnegie Mellon University (2010) His research focuses on computational social science , examining stereotypes and prejudice dynamics , social inequality through computational tools , and gender disparities in organizations . He develops machine learning frameworks for neighborhood change prediction and predictive models for child welfare systems , with work featured in the New York Times . Scientific contributions include: UB Exceptional Scholar—Young Investigator Award (2021) He advises students Yuhao Du (Meta data scientist), Jason Yan (Michigan Ph.D. student), Arjunil Pathak (Amazon researcher), and Navid Madani (former Ph.D. student). His Computation and Equity Lab (cubelab) produces interdisciplinary work spanning social media analysis, urban equity, and computational methods for marginalized communities.

Dace Reihmaneمشاهده پروفایل

دانشیار

• Sports Science
• Exercise Physiology
• Biochemistry
• +۳ مورد دیگر

Associate Professor Dace Reihmane is a prominent academic staff member in the Department of Human Physiology and Biochemistry at Rīga Stradiņš University (RSU), where she serves as the leader of the study course 'Medical Biochemistry.' She also holds the position of Acting Lead Researcher at the Laboratory of Sports and Nutrition Research. Dr. Reihmane maintains her office at RSU's Main Building (Room A-606) located at 16 Dzirciema iela, Rīga, LV-1007. Dr. Reihmane's research focuses primarily on sports science and exercise physiology, with special emphasis on exercise-induced changes in various biomarkers through invasive human studies. Her work bridges biochemistry, physical activity, and child health, making significant contributions to understanding how exercise affects physiological processes in young populations. Her research portfolio demonstrates a clear trajectory toward advancing sports science methodology and application in Latvia. Dr. Reihmane leads several major research initiatives including the national research program 'Innovations, methodologies and recommendations for the development and management of the sports sector in Latvia' (VPP-IZM-Sports-2023/1-0001), the EXPOSE research grant, and the TCReX project. She previously directed the University of Latvia's collaboration with the Latvian Olympic Committee on the Physical Activity and Children's Overall Health Study (PACH study). As a member of the scientific committee of the European College of Sport Science, Dr. Reihmane contributes to the broader international sports science community. Her methodological expertise was enhanced through participation in the Interdisciplinary IT Learning program at the University at Buffalo, State University of New York, where she gained advanced data analysis skills applicable to her research in sports science. Dr. Reihmane's work shows increasing emphasis on developing research methods and knowledge bases for health indicators in children and youth involved in sports, with particular attention to how these relate to training and competition processes. Her leadership in national research programs indicates her growing influence in shaping sports science policy and practice in Latvia.

• Computational Economics
• Agent-Based Modeling
• Innovation Economics
• +۹ مورد دیگر

Herbert Dawid is a Professor of Economic Theory and Computational Economics at the Faculty of Business and Economics , Bielefeld University , Germany. He holds multiple roles including Chair Holder, Subproject Manager for SFB 1283, and Founding Director of the Center for Uncertainty Studies (CeUS) . His research focuses on Computational Economics , Agent-Based Modeling , and Innovation Dynamics , with emphasis on uncertainty management and digitalization. Current Appointments Professor (W3), Faculty of Business and Economics, Bielefeld University (since 2010) Subproject Manager, SFB 1283 (Innovation Dynamics in Market Uncertainty) Founding Director, Center for Uncertainty Studies (CeUS) Research Themes Digitalization and Intelligent Products Investing Under Uncertainty Agent-Based Modeling in Economics Dynamic Analysis of Economic Policy Control Theory and Differential Games His work spans economic policy modeling , technological innovation , and financial constraint analysis , with notable publications on AI integration in economic systems and autonomous vehicle policy frameworks. He contributes to interdisciplinary initiatives like AI*IM (Interactive Inclusive AI for People with Cognitive Disabilities) through economic expertise.

Daniela Domínguezمشاهده پروفایل

دانشیار

• Liberation Psychology
• Anti-Racism
• Migrant Justice
• +۳ مورد دیگر

Dr. Daniela Domínguez is an Associate Professor in the Counseling Psychology Department at the University of San Francisco (USF), serving as Program Coordinator for the Marriage and Family Therapy program at the Santa Rosa Location. A licensed psychologist and professional clinical counselor, her work focuses on liberation psychology, anti-racism, migrant justice, and queer mental health. She holds a PsyD in Counseling Psychology from Our Lady of the Lake University (2015), an MS in Counseling Psychology (2010), and a BA in Psychology (2007) from St. Mary’s University. Her research emphasizes the psychological impacts of immigration detention, LGBTQ+ family dynamics, and systemic oppression. Notable contributions include exploring abolition feminism’s role in supporting Latinx migrant womxn, analyzing asylum seekers’ experiences with border violence, and advocating for culturally responsive mental health practices. Dr. Domínguez has received multiple recognitions including the USF Outstanding Professor Award (2022) and the National Latinx Psychological Association’s Vega Distinguished Service Award (2021). Professionally, she has served as Research Director at the Hanna Institute, owner of On the Margins LLC, and university counselor at Texas State University. Her community engagement includes roles on USF’s Mission Council and the Undocumented Student Scholarship Committee. Publications span academic journals and books addressing topics such as disaster mental health, binational family resilience, and decolonizing psychology.

• Wireless Communications
• Signal Processing
• Machine Learning
• +۳ مورد دیگر

Hongliang Zhang is a faculty member at Peking University, School of Electronics , specializing in wireless communications and next-generation networks. His work spans reconfigurable intelligent surfaces (RIS), holographic MIMO, and meta-material-based sensing. Research Focus: 6G wireless systems, integrated sensing and communication (ISAC), beamforming optimization, and anti-jamming techniques. Recent Trends: Integration of large language models in aerial edge computing, generative AI for radio map benchmarks, and security frameworks for vehicular metaverses.

Sankardas Royمشاهده پروفایل

دانشیار

• Cybersecurity
• Digital Forensics
• Android Security
• +۵ مورد دیگر

Sankardas Roy is an Associate Professor in the Department of Computer Science at Bowling Green State University. His office is located in Room 238, Hayes Hall, Bowling Green, Ohio. He holds a PhD in Information Technology from George Mason University (2008), an MS in Computer Science from the Indian Statistical Institute (2001), and a BS in Electrical Engineering from Bengal Engineering College (1997). Research Interests: Dr. Roy's research focuses on cybersecurity and digital forensics, with specialization in Android security vetting through static/dynamic analysis and machine learning techniques. Additional interests include digital forensics tool evaluation, game theory applications in security, secure data aggregation in distributed systems, and attribute-based encryption schemes. Publication Trends: His recent publications demonstrate a strong focus on Android security frameworks, malware detection using deep learning, and digital forensics methodologies. Earlier work emphasized wireless sensor network security and game-theoretic defense mechanisms, showing consistent innovation in applied security solutions across different computing domains. Grants and Projects: NSF SaTC-funded project: "Data-driven approaches for security vetting of Android apps" (2017-2021) NIST-funded project: "Incorporating standards in Digital Forensics curricula" (2017-2019) Research Group: Dr. Roy leads an active research team including current MS students (Prabesh Pathak, Prabesh Poudel) and BS students (Andrew Meyer). Past students include Shiva Bhusal (MS 2018), Dewan Chaulagain (MS 2019), and David Shaw (BS 2020).

• Bioinformatics
• Computational Biology
• Phylogenetics
• +۳ مورد دیگر

Prof. Manuela Schmidt is a faculty member at the University of Vienna, affiliated with the Faculty of Life Sciences and the Department of Pharmaceutical Sciences. Her research focuses on modern systems biology pain research and biomedical applications, primarily conducted in her laboratory. She supervises Master's theses with limited availability, requiring applications between January 1–31, 2025, and coordinates both experimental and literature-based thesis opportunities. Her work spans bioinformatics, computational biology, and phylogenetics, with significant contributions to maximum likelihood phylogenetic methods and software development (e.g., IQ-TREE). Research trends include evolutionary biology, molecular biology, and applications of machine learning in phylogenetic analysis. Additional interests involve environmental microbiology and developmental genetics. For contact, email manuela_schmidt@univie.ac.at. Her lab is located at UZA II, Josef-Holaubek-Platz 2, A-1090 Vienna, Austria (phone: +43-1-4277-55301).

• Customer Relationship Management
• Social Media Analytics
• Marketing Technology
• +۳ مورد دیگر

David A. Schweidel is a Professor of Marketing at Emory University’s Goizueta Business School. With a background in mathematics, statistics, and marketing, he has held faculty positions at the University of Wisconsin-Madison and Georgetown University. His expertise spans customer relationship management, social media analytics, and data-driven marketing strategy. Ph.D. in Marketing – University of Pennsylvania M.A. in Statistics – University of Pennsylvania B.A. in Mathematics – University of Pennsylvania His research focuses on statistical modeling of customer behavior, with applications in social media analytics, political marketing, and consumer data utilization. He has consulted for companies like EBay and General Motors, and authored books on social media intelligence and data economy applications in business. His recent publications explore topics like political social media communication, blockchain marketing integration, and generative AI applications. Articles examine consumer privacy trade-offs, customer acquisition modeling, and the role of user-generated content in hybrid marketing environments. Recipient of Gaumnitz Junior Faculty Research Award Marketing Science Institute Buzzell Award winner Recognized in Marketing Science Institute Young Scholar program Included in Poets and Quant’s Top 40 Under 40 His work bridges academic research with practical marketing applications, particularly in digital environments and data analytics.

Kari Krausمشاهده پروفایل

دانشیار

• Digital Humanities
• Game Studies
• Digital Preservation
• +۴ مورد دیگر

Kari Kraus is an Associate Professor at the College of Information Studies (INFO College) at the University of Maryland. Her research focuses on digital humanities, game studies, digital preservation, and speculative design. She holds a PhD from the University of Rochester and is affiliated with the Center for Archival Futures (CAFe) and the Human-Computer Interaction Lab (HCIL). Kraus explores topics like alternate reality games (ARGs) in educational contexts, transmedia storytelling, and the ethical use of AI in writing through tools like the HaLLMark system. Her work bridges humanities scholarship with emerging technologies, emphasizing participatory design and future-oriented thinking. Currently, she is writing a book on speculative design methodologies for envisioning possible futures. Kraus's publications span digital preservation strategies, youth engagement through games, and the intersection of technology with cultural heritage. Research Interests: New Media and Digital Humanities Game-Based Learning and ARG Design Speculative Design and Futures Studies Digital Preservation and Cultural Memory Transmedia Storytelling and Co-Design Ethics of AI in Academic Writing Recent Article Trends: Recent work emphasizes ethical AI integration (e.g., HaLLMark's provenance tracking), ARG applications in libraries and museums, and speculative design frameworks. Her research often combines NLP, visualization tools, and participatory methods to address challenges in digital culture and education. Awards: No explicit awards listed, though her work has been featured in outlets like the New York Times and Wired. Advising & Grants: Kraus is currently not accepting PhD students. Her projects include grants for STEM learning through scientific ARGs and collaborations with public libraries. Labs & Teams: Active in CAFe (archival futures) and HCIL (human-centered tech research). Collaborates on initiatives like the Arcane Gallery of Gadgetry ARG and youth-focused digital projects.

• Robotics
• Human-Robot Interaction
• Control Systems
• +۵ مورد دیگر

Brandon J. DeHart is an Adjunct Assistant Professor at the University of Waterloo. He is affiliated with the university's academic faculty and can be contacted at brandon.dehart@uwaterloo.ca or at location E5 3108. His research focuses on robotics, particularly humanoid robots, control systems, and roboethics. He has contributed to advancements in dynamic balance, gait metrics, and human-robot interaction. His work spans topics like legged mechanism design, sensor networks in art installations, and automated content generation systems. His research interests include the development of humanoid robots capable of child-friendly interactions, robust control strategies for uncertain environments, and ethical considerations in robotic design. He has explored technical challenges like foot placement estimators for balance recovery and momentum-based gait generation in bipedal systems. Notable contributions include methodologies for tracking visitor engagement in large art installations and frameworks for interconnecting cellular automata across hardware and software. His publications reflect a blend of robotics engineering, AI applications, and interdisciplinary approaches to technology design.

Fatma Gzaraمشاهده پروفایل

استاد

• Operations Research
• Large Scale Optimization
• Supply Chain Analytics
• +۵ مورد دیگر

Fatma Gzara is a Professor at the Department of Management Sciences, University of Waterloo, and co-founder/co-director of WANOPT (Waterloo Analytics and Optimization Lab). Her research focuses on supply chain analytics, large-scale optimization, and data-driven decision-making in logistics systems. She has led industry-funded projects with NSERC, OCE, MITACS, and collaborators like Bombardier and Unilever. Education: PhD in Management Science from McGill University (2003). Teaches courses such as MSCI 331 (Optimization), MSCI 734 (Network Models), and graduate seminars (MSCI 200A/B). Active in graduate student supervision. Research interests include optimization under uncertainty, drone delivery systems, hazmat transportation planning, and airline operations. Recent publications explore pandemic resource allocation, crowdsourced delivery economics, and urban UAV traffic management. Funding collaborations include NSERC grants for supply chain analytics and MITACS partnerships. WANOPT lab focuses on integrating analytics with optimization for large-scale systems.

Mary Barczakمشاهده پروفایل

استادیار

• Special Education
• Transition Planning
• Workforce Participation Interventions
• +۳ مورد دیگر

Mary Barczak is an Assistant Professor in the Special Education program within the Department of Educational Psychology at The University of Oklahoma's Jeannine Rainbolt College of Education. Her primary research focuses on transition planning for students with intellectual and developmental disabilities, workforce participation interventions, and preparing educators and paraeducators through technology-based and systematic instructional practices. She also investigates inclusive education strategies and peer-mediated interventions to enhance social and academic outcomes for students with severe disabilities. Her work emphasizes practical applications in educational settings, including studies on paraeducator training effectiveness, peer network interventions for students with complex communication needs, and the use of visual supports to teach vocational skills. Dr. Barczak's research consistently addresses gaps between evidence-based practices and real-world implementation, particularly in supporting educators to better serve marginalized student populations. Her office is located in Collings Hall 310, and she can be reached at Mary.Barczak-1@ou.edu. Though not explicitly listed, her research trajectory suggests involvement in grant-funded projects related to special education innovation and teacher training initiatives.

Eduardo Blancoمشاهده پروفایل

دانشیار

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +۷ مورد دیگر

Eduardo Blanco is an Associate Professor in the Department of Computer Science at the University of Arizona. His research focuses on advancing Natural Language Processing (NLP) with an emphasis on understanding negation, hate speech dynamics, and computational linguistics applications. He explores how language models can better interpret ambiguous statements, predict conversation incivility, and counteract harmful online content through structured responses. Blanco’s work spans theoretical and applied NLP domains, including semantic role labeling, sentence embedding evaluation, and biomedical text analysis using protein language models. His research often integrates large language models with task-specific frameworks to address challenges in zero-shot learning and negation robustness. Key areas of investigation include: Negation processing and affirmative interpretation Social media discourse dynamics and hate speech detection NLP for biomedical applications (glycosylation site prediction) Semantic similarity alignment in sentence embeddings His recent articles highlight advancements in counterhate speech strategies, temporal QA systems, and LLM-based peer review tools. Notably, he secured the NSF CAREER Award for studying negation through positive interpretations (2022). Collaborative efforts focus on interdisciplinary teams addressing challenges in computational linguistics, with grants supporting projects like the ALIGN-SIM benchmarking framework and BEMEAE event argument extraction system.

• Machine Learning
• Spatial Data Mining
• AI in Mental Health
• +۴ مورد دیگر

Dr. Saida Elmi is an Assistant Professor Adjunct at Yale University School of Medicine and an Assistant Professor at the University of New Haven. She holds a Ph.D. in Computer Science from the National School of Mechanics and Aerotechnics (2017), followed by postdoctoral research at Korea University of Technology and Education (2017–2018) and National University of Singapore (2018–2021). Her research focuses on AI applications in healthcare, transportation systems, and spatial data mining. She developed the Automated Test of Embodied Cognition (ATEC), an AI-driven system using motion capture and machine learning for mental disease detection. Key contributions include predicting taxi fares, travel times, and energy consumption in transportation networks using deep learning architectures like RNNs and CNNs, and designing group-oriented recommendation systems for points-of-interest (POIs) using graph convolution networks and attention mechanisms. Education : Ph.D., Computer Science, National School of Mechanics and Aerotechnics (2017) Postdoctoral Research, Korea University of Technology and Education (2017–2018) Postdoctoral Research, National University of Singapore (2018–2021) Her research interests span machine learning, spatial data mining, and AI ethics. She has pioneered frameworks for spatio-temporal data analysis, including a transfer learning approach for travel time prediction in data-scarce regions. Her work on energy consumption modeling and POI prediction has been published in top-tier conferences like WWW, MOBIQUITOUS, and ECIR. Dr. Elmi’s interdisciplinary projects integrate AI with healthcare and urban systems, emphasizing automated cognitive assessment and smart city technologies. Her current efforts focus on refining action recognition algorithms for clinical applications and optimizing recommendation systems for group mobility decisions.