جست‌وجوی استاد و پژوهشگر

Samer Sarsamمشاهده پروفایل

استادیار

• Artificial Intelligence
• Data Mining
• Machine Learning
• +۳ مورد دیگر

Dr. Samer Sarsam is an Assistant Professor in Coventry University's School of Strategy and Leadership. His research specializes in Business Analytics, Data Mining, Machine Learning, and AI-driven decision-making with applications in healthcare, finance, and education. He mentors undergraduate/postgraduate students and consults for tourism/healthcare industries. Research focuses on: Artificial Intelligence and predictive modeling Sentiment and opinion mining techniques Time-series analysis for behavioral prediction Text mining applications in healthcare Recipient of the 2021 Market Research Society Silver Medal for excellence in analytics research. Published extensively on machine learning applications, with recent work exploring generative AI in healthcare management (blood donation supply chains) and education. Consulting work helps organizations leverage data analytics for strategic decision-making across multiple sectors.

• Computational Social Science
• Social Inequality
• Machine Learning
• +۳ مورد دیگر

Joseph Kenny 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 also serves as Associate Director of the AI and Society Institute for Artificial Intelligence and Data Science. PhD in Societal Computing, Carnegie Mellon University (2016) MS in Societal Computing, Carnegie Mellon University (2012) BS in Computer Science, Carnegie Mellon University (2010) His research bridges computational methods with social equity , focusing on stereotype dynamics, algorithmic bias in child welfare systems, and Twitter-based social behavior analysis. Current projects include machine learning models to predict Chafee service allocation, neighborhood change prediction frameworks, and tools for analyzing social identity in online discourse. Recent publications span interdisciplinary topics like partisan exposure patterns , geospatial disparities in disaster response , and computational models of gender inequality . He leads the Computation and Equity Lab (cubelab) , which emphasizes values such as meaningful work addressing social inequality, respect for lived experiences, and balanced work-life integration. Scientific contributions include: UB Exceptional Scholar—Young Investigator Award (2021) Pioneering methods for Twitter bio analysis and misinformation detection Developing explainable GeoAI tools for urban equity Creating frameworks for fair predictive modeling in child welfare Advancing computational approaches to stereotype dynamics Students working with him engage in projects combining computer science with social justice, with recent advisees placing at institutions like Michigan (PhD), Amazon, and Meta.

Sally Earlمشاهده پروفایل

مدرس

• Behavioral Biometrics
• Cybersecurity
• Human-Computer Interaction (HCI)
• +۳ مورد دیگر

Sally Earl is a Lecturer and PGT Project Tutor at the School of Computing Sciences, University of East Anglia. She is also a member of the Cyber Intelligence and Networks research group. Earl holds a Doctor of Philosophy (PhD) from the School of Computing Sciences. Her research focuses on behavioral biometrics, cybersecurity, and privacy perceptions, with a particular emphasis on human-computer interaction (HCI). She investigates how keystroke and mouse dynamics can enhance identity verification systems and improve privacy in digital interactions. Earl’s recent work includes studies on privacy implications of behavioral biometric data collection and the design of chatbots for sensitive disclosures. Her publications span 2021–2022, addressing themes such as authentication systems, user privacy, and ethical considerations in technology. While no formal advisees are listed, her research contributions reflect active engagement in collaborative projects with peers like Buckley, Campbell, and Hodges. Her affiliations emphasize interdisciplinary work within cybersecurity and HCI, leveraging both technical and social science perspectives to address modern challenges in digital security and privacy.

Jon Whittleمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۳ مورد دیگر

Jon Whittle Jon Whittle is a Professor and Director at CSIRO's Data61, Australia's national research center for data science, digital technologies, and AI. He leads a team of over 800 staff and affiliates, fostering collaborations with industries and over 30 universities. His work focuses on translating cutting-edge research into societal benefits through AI, cybersecurity, robotics, and computational science. Research Interests Whittle's research emphasizes Responsible AI , including ethical design patterns, governance frameworks, and human-values integration in software systems. He explores topics like AI risk assessment, foundation model architectures, and user-centric development for mobile apps and enterprise tools. His work bridges theory and practice, addressing challenges in AI adoption, transparency, and societal impact. Collaborations & Impact Data61 operates across CSIRO's interdisciplinary domains (e.g., health, agriculture, energy) to solve real-world problems. Whittle’s initiatives aim to operationalize ethical principles into AI systems, ensuring trustworthiness and compliance across sectors like finance and healthcare. Grants & Projects While specific grants are not detailed, his leadership role suggests involvement in large-scale national and industry-funded projects focused on AI innovation and responsible technology development.

• Robotics in Healthcare
• Gerontechnology
• Health Informatics
• +۵ مورد دیگر

Rainer Wieching is a Substitute Professor (Vertretungsprofessur) for Business Information Systems at the University of Siegen's Faculty of Business Information Systems and New Media. He serves as Head of the Health and Prevention Division, focusing on robotics, AI, and ICT-based solutions for elderly care and preventive health. His work bridges healthcare technology, gerontechnology, and human-robot interaction. Education and Professional Background: Dr. Wieching holds a PhD and degrees in sports science, physiology, and medical education. He has 15 years of experience leading health-tech startups and 8 years in engineering systems for energy sector process control. His research integrates medical expertise with IT systems for evidence-based medicine and assistive technologies. Key Projects: He leads/co-leads EU-Japan initiatives like e-VITA (AI-driven aging support), my-AHA (frailty detection), and iStoppFalls (fall prevention). His work spans over 20 projects including HAPPIER (empathetic robots), Cognitive Village (adaptive systems), and MobiAssist (dementia care). Research Focus: Current projects emphasize social robots in intercultural contexts (Germany-Japan), digital twins for aging, and participatory design of health technologies. He explores ethical implications, technology acceptance, and sustainable tech integration in care settings. Labs & Collaborations: Active in PRAXLABS, Fab Lab Siegen, and Social Media Observatories. Engages in international collaborations through EU-funded programs and cross-cultural studies between Europe and Japan.

• Human-Computer Interaction
• Crowdsourcing
• Machine Learning
• +۵ مورد دیگر

Alessandro Bozzon is a Researcher at Delft University of Technology, The Netherlands , specializing in Human-Computer Interaction , Crowdsourcing , and Artificial Intelligence . His work bridges technical systems with human-centric design, focusing on conversational interfaces, data integration, and ethical algorithmic frameworks. Key research areas include urban data analysis, AI explainability, and collaborative policy-making Collaborates extensively with multidisciplinary teams in computer vision, semantic web, and mental health diagnostics Recent publications analyze: Episodic framing in news media (2024) Greenspace accessibility for children (2023) Multi-stakeholder algorithmic assessments (2022) Conversational crowdsourcing systems (2019) His work emphasizes human-in-the-loop approaches across machine learning, urban planning, and media bias detection, with applications in smart homes, policy sandboxes, and public health diagnostics.

Sophie Hundertmarkمشاهده پروفایل

پژوهشگر ارشد

• Conversational AI
• Artificial Intelligence
• Financial Services
• +۳ مورد دیگر

Sophie Hundertmark is a Senior Research Fellow at the Institute of Financial Services Zug (IFZ) within the Lucerne School of Business at Lucerne University of Applied Sciences and Arts (HSLU). Her work focuses on Conversational AI, particularly in financial services and insurance sectors. She holds a Master's in Business Administration, specializing in Online Business and Marketing from HSLU (2017), and is pursuing a PhD in Conversational AI at the University of Fribourg under Prof. Dr. Edy Portmann. Her research explores AI-driven customer dialogues in banking and insurance, emphasizing areas like Conversational Banking/Insurance and Generative AI applications. She advises major financial institutions such as Raiffeisen Group, Helvetia, and Baloise, and has developed a podcast series, 'Next AI Talk,' and authored books on chatbots and generative AI. She also founded the Zurich AI community and organizes annual AI conferences. Key projects include studies on conversational financial services, AI in non-profit reporting, and adaptive communication technologies for foundation councils. Her publications span peer-reviewed journals, industry reports, and book chapters on topics like fuzzy logic in conversational agents and ethical considerations in AI. She has received the 2018 Best Paper Award at the IWW Internet Conference for her work on chatbots in public transport. Beyond academia, she contributes to blogs for HSLU and maintains her own blog on chatbots, blending research with practical insights for businesses adopting AI.

Paulo Jorge Teixeira Matosمشاهده پروفایل

استاد

• Technological Innovation Entrepreneurship
• Intelligent Decision Support Systems
• Web Semantic
• +۳ مورد دیگر

Paulo Jorge Teixeira Matos is a Professor at the Polytechnic Institute of Bragança's Informatic and Communication Department, where he has held a faculty position since 1996. With a PhD in Technologies of programming (2005) and over 40 indexed publications, he bridges academic research with entrepreneurial ventures. His educational background includes: Industrial Electronic Engineering (1994) M.Sc. in Informatics (1999) PhD in Technologies of programming (2005) Matos's research centers on Intelligent Decision Support Systems , Web Semantic , IoT , and Industry 4.0 , with dominant focus on technological innovation entrepreneurship . His work consistently translates theoretical frameworks into practical applications through startups and industry collaborations, emphasizing real-world problem-solving in smart environments and resource optimization. Analysis of his 60+ publications reveals strong trends in smart environmental systems (comfort management, energy efficiency), sports technology immersion, and agricultural/disease control solutions. His interdisciplinary approach integrates computer science with medicine, agriculture, and finance, demonstrating exceptional versatility across domains. He has supervised over 180 students across academic levels and secured participation in major projects including Grace, Arum, Smart-LEM, Smart-Light, and AgriFood. His entrepreneurial leadership spans Techwelf (founded 2013, as CTO/CEO) and Aresta Binária (founded 2017, as CTO), developing products like Welfy HVAC controllers and Pin2Give marketplace that gained international recognition through EDP Innovation and Boston Global Immersion programs.

Xiaofeng Jiaمشاهده پروفایل

استادیار

• Strategic Communication
• Health Communication
• Quantitative Methodology
• +۳ مورد دیگر

Dr. Xiaofeng Jia is an Assistant Professor in the School of Media & Communication at Bowling Green State University (BGSU), part of the College of Arts & Sciences. Her research focuses on strategic communication, health communication, and quantitative methodology, with a particular emphasis on social media and emerging technologies like AI chatbots. She teaches courses including Social Media and Society, Qualitative Research Methods, and Advanced Social Scientific Research Methods. Dr. Jia holds a Ph.D. from the University of Miami and an M.A. from Goldsmiths, University of London. Her work explores how message characteristics and content creators influence audience engagement on platforms such as AI chatbots, and examines theoretical frameworks explaining attitude and behavior change through media exposure. Her research interests span health communication (e.g., pandemic communication, vaccine hesitancy), digital media strategies, and computational methods. Notable projects include analyzing information overload during the pandemic, the role of anthropomorphic chatbots in customer interactions post-social exclusion, and improving clinical trial recruitment for underrepresented groups like African American and Black Caribbean populations. Dr. Jia has contributed to journals including Journal of Internet Commerce , Health Communication , and Health Promotion International . Her lab affiliations include the School's Global Social Media Influencer Research Lab .

• Multimodal Interaction
• Artificial Intelligence
• Human-Computer Interaction
• +۳ مورد دیگر

Hung-Hsuan Huang is an academic researcher focused on multimodal interaction, embodied conversational agents, and educational technology. His work spans topics such as virtual agent behavior, gamified learning systems, and nonverbal communication analysis. Collaborating frequently with institutions like Osaka University, he has published extensively in venues including HCI, ICMI, and IVA conferences. His research often integrates machine learning techniques with human-computer interaction challenges, particularly in educational and collaborative environments. Key research areas include: (1) Designing virtual agents for tutoring and teacher training, (2) Multimodal assessment systems using speech and body language analysis, (3) Gamification mechanisms for knowledge refinement and skill evaluation, and (4) Cross-cultural interaction frameworks for virtual guides. Recent work emphasizes applications in language proficiency assessment and teacher training simulations. Notable contributions include developing frameworks for integrating embodied conversational agents, simulating group discussion dynamics, and creating virtual classroom environments for skill evaluation. His methodologies often combine deep learning with behavioral analysis to address challenges in human-agent collaboration.

Farhana Zulkernineمشاهده پروفایل

استاد

• Big Data Analytics
• Artificial Intelligence
• Cognitive Computing
• +۵ مورد دیگر

Farhana Zulkernine is a Professor and Coordinator of the Cognitive Science program at Queen's University's School of Computing. She earned her Ph.D. in Computer Science from Queen's and is a licensed Professional Engineer (PEng). With over 15 years of international experience in software design and research, she collaborates with IBM Canada, SAP Germany, and medical institutions. Her research focuses on big data analytics, cognitive computing, and AI applications in healthcare, autonomous systems, and smart cities. She directs the Bigdata Analytics and Management (BAM) Lab and chairs major conferences like IEEE International Conference on Digital Health. Education: Ph.D. in Computer Science (Queen's University, 2009). Research Interests: Big data management, AI-driven decision systems, healthcare informatics, cloud computing, and autonomous vehicle technologies. She applies these to medical diagnostics, wearable health monitoring, and urban smart systems. Grants & Funding: Supported by NSERC, CFI, IBM, and others for projects like dementia detection via AI and remote triage systems. Recent grants include NSERC New Frontiers (2023-2026) and Medlior-Roche collaborations. Teaching: Teaches courses in cognitive science, machine learning, and neural networks. Recent courses include COGS 100 and CISC-874. Labs & Teams: Leads the BAM Lab, contributing to projects like Triage-Bot and Assist-Bot. Active in Queen's Conflicts Analytics Lab and SOSCIP Scientific Advisory Committee.

Gayane Sedrakyanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Human-Computer Interaction
• Health Informatics
• +۶ مورد دیگر

Gayane Sedrakyan serves as an Assistant Professor in the Department of Industrial Engineering & Business Information Systems, with research spanning computer science, healthcare, education, and food systems. Her work bridges theoretical frameworks with practical applications of emerging technologies across critical societal domains. Her research focuses on human-centric AI systems, particularly in health equity and educational technology. She investigates semantic interoperability in food systems, low-code security frameworks, and digital feedback mechanisms in post-pandemic education. Key areas include explainable AI for reproductive healthcare, privacy-aware agricultural data platforms, and chatbot integration in learning management systems, all emphasizing user experience and ethical design. Recent publication trends reveal three dominant trajectories: healthcare applications (human-centric recommender systems for health equity), educational innovation (AI chatbots in Education 5.0 and hybrid classroom feedback), and sustainable food systems (cross-sectoral data platforms and semantic tools). Her work consistently integrates process-oriented security in low-code development while addressing societal challenges through interdisciplinary approaches. Dr. Sedrakyan actively contributes to academic discourse through community building, having co-organized the 2023 Workshop on Controlled Vocabularies and Data Platforms for Smart Food Systems, which advanced collaborative research in food system digitization.

Lumturie Bajramiمشاهده پروفایل

مدرس

• English Language Teaching
• Educational Technology
• ESP Curriculum Development
• +۳ مورد دیگر

Lumturie Bajrami is a Lecturer at the Language Center of South East European University (SEEU), engaged full-time. Her work focuses on English for Specific Purposes (ESP), EFL teaching methodologies, and integrating technology into education. She has contributed significantly to research on educational tools like Google Classroom, AI chatbots, and Ted-Ed Talks for enhancing learning outcomes. Her research interests emphasize pedagogical innovation, including multimedia settings, vocabulary retention strategies, and context-based language learning. She has explored the role of digital platforms in motivating students and developing soft skills for computer science and social sciences students. Key projects include ESP curriculum development, work-integrated study materials, and the effectiveness of literature circles in EFL classrooms. Her publications span topics such as e-learning tools, motivational teaching methods, and the evolving role of educators in promoting learner autonomy. Notable works include studies on AI chatbots for vocabulary retention, Google Classroom in academic environments, and the use of TED-Ed Talks in ESP classes for computer science students. Bajrami’s research also addresses challenges in EFL/ESP education, such as student motivation, multimodal learning environments, and context-driven word knowledge. She has presented at international conferences and collaborates with institutions like the International University of Sarajevo and the Competence Center for Business English.

• Educational Technology
• Pedagogy
• Educational Assessment
• +۳ مورد دیگر

Massimo Marcuccio is a Full Professor at the Department of Education Studies Giovanni Maria Bertin, University of Bologna. His research focuses on educational technology integration, assessment methodologies, and teacher professional development. He has extensively studied the application of extended reality (XR), augmented reality (AR), and immersive virtual reality (IVR) in educational settings, particularly in medical and engineering education contexts. His work also addresses critical issues like the ethical use of AI in education, the design of child-friendly healthcare environments, and the development of lifelong learning frameworks. Key research interests include: Educational Technology (AR/VR/XR applications) Educational Assessment and Evaluation Teacher Training and Professional Development Interdisciplinary Learning Models Policy Implementation in Education Recent publications highlight trends in immersive technologies for anatomy education, critical approaches to AI in teaching, and the role of urban space in pedagogical values. His work bridges theoretical frameworks with practical implementation, emphasizing evidence-based decision-making in educational policies and programs. Advising and collaborations involve interdisciplinary teams across universities and industries, focusing on projects that enhance educational quality and equity. He contributes to initiatives like the SPRING tool for reflective practices in early childhood education and the evaluation of continuing education programs for workers in non-public sectors.

• Artificial Intelligence in Humanities
• Digital Preservation of Cultural Heritage
• Data Curation and Sustainability
• +۳ مورد دیگر

Thomas Asselborn is a Researcher at the University of Hamburg, affiliated with the Institute for Humanities-Centered Artificial Intelligence (CHAI) and the Artificial Intelligence in Humanities group under Prof. Dr. Möller. His work focuses on creating sustainable information systems and AI models for humanities research. Current projects include OCR error correction using transformer models Development of chatbots for tabular data evaluation Data curation frameworks for cultural heritage preservation His research intersects artificial intelligence and digital humanities, particularly in digitization and data sustainability challenges. Recent publications address data linking infrastructure, repository usability, and AI applications for manuscript analysis. Asselborn contributes to initiatives like the Excellence Cluster 'Understanding Written Artefacts' (UWA) and participates in workshops on language models in humanities research.