جست‌وجوی استاد و پژوهشگر

Natalie Haynesمشاهده پروفایل

استاد

• Hospitality Revenue Management
• Hotel Pricing Strategy
• Big Data Applications in Tourism
• +۴ مورد دیگر

Natalie Haynes serves as Division Head for Global Business, Hospitality and Tourism Management within Sheffield Business School at Sheffield Hallam University, leading academic programs in international business, hospitality management, tourism management, and aviation. Her leadership spans recruitment, employability, and international partnerships since assuming the role in 2024. Her research expertise focuses on Hospitality Revenue Management , Hotel Pricing Strategy , and Big Data Applications in Tourism , with significant contributions to understanding how data-driven systems impact pricing decisions. She examines revenue management across diverse sectors including hotels, campsites, and visitor attractions, while also exploring gender dynamics in the event industry. Analysis of her 15 most recent publications reveals a strong emphasis on post-pandemic revenue recovery , temporal pricing models , and ethical considerations in hospitality operations . Her work bridges theoretical economic principles with practical revenue management applications, increasingly incorporating big data analytics while questioning over-reliance on automated systems. Senior Fellow of the Higher Education Authority Editorial Board Member, Journal of Tourism Futures Natalie actively supervises DBA and PhD students in innovation and smart services while serving as an external examiner for other institutions. Her industry background in hotel sales, marketing, and revenue management with major brands provides practical grounding for her academic work, particularly evident in her collaborative white paper on hospitality management education with the Council of Hospitality Management Education.

Bogdan Ghitaمشاهده پروفایل

دانشیار

• Cybersecurity
• Network Security
• IoT Security
• +۸ مورد دیگر

Dr. Bogdan Ghita is an Associate Professor and Associate Dean International in the Faculty of Science and Engineering at the University of Plymouth. His primary affiliation is with the School of Engineering, Computing and Mathematics. He leads network research within the Centre for Security, Communications, and Network Research. His research focuses on cybersecurity, IoT security, machine learning applications in networking, blockchain technology, network function virtualization, and disaster communication systems. He has supervised over 20 PhD students on topics ranging from smart grid optimization to network intrusion detection. Teaching responsibilities include undergraduate courses like Cyber Security and Networks, Ethical Hacking, and Network Monitoring, as well as postgraduate modules in Ethical Hacking. He actively contributes to curriculum development in online education and cybersecurity pedagogy. Key research themes include: Network slicing and NFV in disaster recovery systems Cybersecurity for IoT and industrial systems Machine learning for network anomaly detection Blockchain-based trust management for M2M services Forensic analysis of digital evidence His recent work explores AI-driven personalized education frameworks and quantum-resistant cryptographic schemes. He has published extensively in top-tier conferences/journals with a focus on applying computational methods to solve real-world cybersecurity challenges.

Niels van Berkelمشاهده پروفایل

استاد

• Artificial Intelligence
• Human-Computer Interaction
• Large Language Models
• +۴ مورد دیگر

Niels van Berkel is a Professor in the Department of Computer Science at Aalborg University, affiliated with The Technical Faculty of IT and Design. His research focuses on Human-Centered Computing and AI for societal benefit, with key projects including the HERD initiative on human-robot collaboration and initiatives to enhance mental health through digital tools. He leads multiple research projects involving AI ethics, healthcare applications, and swarm robotics. His educational background includes a Ph.D. in Computer Science. Research interests span AI explainability, human-AI interaction design, and the ethical implications of AI systems in healthcare and daily life. He has supervised 1 doctoral student and contributed to over 169 research outputs across journals, conferences, and datasets. Notable contributions include work on chatbot-driven data collection, coordination in AI development teams, and swarm robotics for search & rescue. His project 'AI for the People' emphasizes technology's role in improving societal wellbeing, while collaborations with medical professionals address chronic pain management and telehealth innovations. He received the DIS 2024 Honourable Mention and has actively engaged with media to communicate research impacts, including discussions on AI ethics and robot swarms. His work bridges technical innovation with human-centric design principles, addressing challenges in explainable AI, moral agency perceptions, and sustainable urban mobility solutions.

James Youngمشاهده پروفایل

استاد

• Human-Computer Interaction
• Human-Robot Interaction
• Robotics
• +۶ مورد دیگر

James Young is a Professor in the Department of Computer Science at the University of Manitoba, within the Faculty of Science. He holds a PhD and specializes in Human-Computer Interaction (HCI) and Human-Robot Interaction (HRI). His work focuses on designing socially intelligent robots, trust calibration in HRI, and ethical implications of robotic systems. He leads the HCI Lab, collaborating closely with Japanese robotics researchers, and has pioneered projects like the SnuggleBot companion robot and frameworks for robot capability labeling. Education: PhD in Computer Science Research interests include social robotics, teleoperation systems, and human-robot collaboration. He has explored applications in mental health support, disability inclusion, and cultural reconciliation through virtual reality. His lab emphasizes interdisciplinary approaches, combining engineering, psychology, and design principles. Current research includes designing anti-bullying interventions using robots, privacy-friendly robot interfaces, and exploring the societal impact of AI systems. He actively mentors graduate students in HCI and robotics, with funding opportunities for exceptional candidates. His work has been showcased in venues like HRI conferences and ACM publications, emphasizing both technical innovation and ethical considerations. Collaborations extend to international partnerships and industry applications in healthcare and education.

Costas Priporasمشاهده پروفایل

مدرس ارشد

• Consumer Behaviour
• Strategic Marketing
• Retailing
• +۵ مورد دیگر

Dr Costas Priporas is a Senior Lecturer in Marketing at Middlesex University, affiliated with the Faculty of Business and Law and the Marketing, Enterprise & Tourism department. He holds a BSc in Business Administration (Drexel University), an MBA (Cleveland State University), and a PhD in Marketing (University of Newcastle Upon Tyne). His research focuses on consumer behavior, strategic marketing, retailing, tourism marketing, and the impact of new technologies on consumer engagement. Teaching & Supervision: Teaches courses such as Customer Experience Management and e-Commerce, and coordinates the PhD program in MET Department (2015–2024). Supervised 17 completed PhD students and currently oversees 2 PhD candidates as primary or secondary supervisor. Research Interests: Explores AI-driven marketing, consumer engagement in digital contexts, generational behavior (e.g., Gen Z), crisis management in retail, and cross-cultural studies. Recent works analyze AI-generated advertising, technology distraction effects, and CSR skepticism. Grants & Awards: No specific grants or awards listed, but his extensive publication record reflects sustained academic contribution. Labs & Teams: Collaborates on interdisciplinary projects involving smart retailing, luxury marketing, and crisis management frameworks.

John Kotcherمشاهده پروفایل

عضو هیئت علمی

• Climate Change Communication
• Public Health
• Environmental Science
• +۳ مورد دیگر

John Kotcher, Ph.D., is a Research Associate Professor and Director of Research at the Center for Climate Change Communication at George Mason University. He leads interdisciplinary teams exploring effective strategies for communicating climate change and air pollution, empowering organizations to engage citizens in climate action. As a co-Principal Investigator on the Climate Change in the American Mind project, he collaborates with Yale Program on Climate Change Communication to track U.S. public attitudes and policy support. His work bridges academia and practice, influencing policy and health sector engagement through over 50 peer-reviewed articles in journals like The Lancet Planetary Health and Environmental Communication. Education : - Ph.D., Communication, George Mason University (2016) - M.S., Environmental Science, American University (2008) - B.S., Zoology (Major), Neuroscience (Minor), Miami University (2006) Research Focus : Kotcher’s research emphasizes climate communication strategies, health implications of climate change, and public opinion dynamics. Key areas include: - Health professional advocacy roles in climate action - Framing climate messaging for diverse audiences - Policy and equity dimensions of climate communication Grants & Funding : - Wellcome Trust ($1.05M, 2023–2024) for policy ecosystem research - WHO projects ($24K–$121K) on global climate and health perceptions - Institute for a Sustainable Earth ($40K, 2019–2023) for health-climate linkages Media & Outreach : Kotcher’s work has been featured in The New York Times, The Atlantic, and PBS. He regularly presents at international forums, including the Medical Society Consortium on Climate and Health, advocating for actionable climate-health communication frameworks. Labs & Teams : - Center for Climate Change Communication (GMU) - Collaborations with Yale Program on Climate Change Communication

Nick Nikiforakisمشاهده پروفایل

دانشیار

• Web Security
• Software Security
• Cybersecurity
• +۳ مورد دیگر

Nick Nikiforakis is an Associate Professor in the Department of Computer Science at Stony Brook University, with an affiliation to the National Security Institute. His research focuses on web security, privacy, software security, and intrusion detection, with particular emphasis on analyzing online ecosystems, domain squatting, honeypot deployment, and client-side defense mechanisms. He completed his PhD in Computer Science at KU Leuven (Belgium), and holds an MSc in Parallel and Distributed Systems and a BSc in Computer Science from the University of Crete, Greece. His work has been funded by NSF and ONR grants, including projects addressing vulnerability scanning, social engineering defenses, and mobile browser security. Nikiforakis' awards include a Distinguished Paper Award at NDSS 2017 and a Best Paper Award at ISC 2014. He teaches courses CSE 508 (Computer Security), CSE 509 (Advanced Topics in Security), and CSE 361 (Data Structures and Algorithms). His research explores cutting-edge threats like blockchain naming system abuse, cryptocurrency scams, and adversarial AI-driven misinformation campaigns.

Andrea Backمشاهده پروفایل

استاد

• Digital Transformation
• Artificial Intelligence
• Business IT
• +۲ مورد دیگر

Prof. Dr. Andrea Back leads the Institute of Business Information Systems (IWI-HSG) at the University of St. Gallen. Her research explores digital transformation, AI literacy, and business-IT integration. Back develops frameworks for organizational ambidexterity, digital intrapreneurship, and IoT ecosystems. Recent projects include AI competency taxonomies, fintech education tools, and robotics in construction. Publications address innovation culture, platform reputation mechanisms, and data-driven sports analytics. She advocates for ethical AI deployment and digital maturity benchmarking through real-time data mining.

Heidi Kreibichمشاهده پروفایل

مدرس ارشد

• Flood Risk Management
• Hydrology
• Climate Adaptation
• +۴ مورد دیگر

PD Dr. Heidi Kreibich is a Group Leader in the 'Flood Risk and Climate Adaptation' working group at GFZ's Section 4.4 Hydrology and a Senior Lecturer (Privatdozentin) at Humboldt-Universität zu Berlin's Geography Department. Her research focuses on flood risk assessment, vulnerability analysis, and socio-hydrological interactions. She holds leadership roles in EGU's Natural Hazards Division and IAHS's Human-Water Feedbacks Commission. Education includes a PhD from Philipps-University of Marburg (1998-2002) and a Habilitation in Flood Damage Analysis from Humboldt-Universität (2015). Awards include the 2024 Volker Medal for contributions to flood risk management and hydrological science. Key projects include EXTREME-ADAPT (Helmholtz-funded adaptation quantification) and FloodChat (AI-driven flood risk analysis). She co-developed the BT-FLEMO flood loss model and leads global socio-hydrological paired event studies. Grants include funding from BMBF and Helmholtz for flood prediction and multi-risk assessment. Her work bridges science and policy, emphasizing impact-based forecasting and disaster resilience. She chairs international initiatives like Panta Rhei's decade on hydrological change and advises IPCC AR6 on climate impacts.

Nam Wook Kimمشاهده پروفایل

استادیار

• Data Visualization
• Human-Computer Interaction
• Accessibility
• +۲ مورد دیگر

Nam Wook Kim is an Assistant Professor of Computer Science at Boston College, specializing in Data Visualization and Human-Computer Interaction. His research focuses on making data accessible to broader audiences through innovative tools and accessibility-focused design. He holds a Ph.D. from Harvard University and has conducted research at Microsoft, Disney, and Adobe. His work bridges academic research with practical applications, emphasizing accessibility, AI-driven interfaces, and creative computing. Education: B.S. in Mathematics & Computer Science (Stony Brook University), M.S. (Stanford University), and Ph.D. (Harvard University). Research Interests: Data Visualization Accessibility, Human-Computer Interaction (HCI), Creative Computing, AI Integration in Visualization, and Design Methodologies. Awards: Recognized by ACM CHI, ACM UIST, Kantar Information is Beautiful Awards, and NSF grants. His research addresses gaps between visualization research and practice, advocating for inclusive design principles. Teaching: Courses include Human AI Interaction, Data Visualization, and Web Application Development. He actively collaborates with institutions like Washington University and Northeastern University. Lab & Teams: Leads the Data Within Reach research group, focusing on accessibility and user-centric visualization tools. His work has generated over 100 publications, emphasizing empirical studies and practical tool development.

Maryam Alimardaniمشاهده پروفایل

دانشیار

• Brain-Computer Interfaces
• Virtual Reality
• Neurofeedback
• +۵ مورد دیگر

Dr. Maryam Alimardani is an Associate Professor at the Faculty of Science, Computer Science department, Vrije Universiteit Amsterdam, and a member of the Network Institute. Her research focuses on neurotechnology applications in human-computer interaction, including brain-computer interfaces (BCIs), virtual reality (VR), and robotics. She explores topics such as neurofeedback training for ADHD, workload prediction in flight simulations, and the psychological impact of human-agent interactions. Her work bridges cognitive neuroscience, robotics, and educational technology, with a particular emphasis on improving mental health interventions and learning outcomes through technology. Research interests include EEG analysis for cognitive state monitoring, gamification strategies in BCI training, and the uncanny valley effect in human-robot collaboration. She has contributed to studies on social robotics for stress management, virtual agent design, and the neurophysiological basis of trust in AI systems. Her recent publications address VR flight simulation neural patterns, the role of gender in motor imagery BCIs, and the ethical implications of passive vs. active BCIs. Collaborations span aviation neurophysiology, consumer neuroscience for sustainability, and pediatric language learning through robots. Alimardani teaches Human-Computer Interaction courses and leads projects on adaptive learning systems. Her work emphasizes translational research, applying neuroscientific insights to real-world applications in education, healthcare, and human-technology collaboration.

Terence Broadمشاهده پروفایل

مدرس ارشد

• Generative AI
• Computational Creativity
• Artistic Applications of Machine Learning
• +۵ مورد دیگر

Terence Broad is a Senior Lecturer at the Creative Computing Institute, University of the Arts London, and Acting Course Leader of the MSc Applied Machine Learning for Creatives. He is currently completing a PhD at Goldsmiths, University of London. His work bridges art and technology, focusing on generative AI, computational creativity, and the use of machine learning as artistic materials. His research has been exhibited globally at venues like The Whitney Museum of American Art and SIGGRAPH conferences. Education: MSci Creative Computing from Goldsmiths, University of London (2012–2016). Research interests include expressive manipulation of deep generative models, exploring the latent possibilities of 'black-box' systems, and ethical considerations in AI art. He has pioneered methods like 'Network Bending' for creative model customization. Key achievements include winning the ICCV Computer Vision Art Gallery Grand Prize (2019) and serving on the SIGGRAPH jury (2021). His work is part of Geneva's contemporary art collection and has been featured in media like The Independent and Vox. Professional activities include organizing conferences like IGGI 2020 and reviewing for journals like Leonardo and ACM Transactions on Image Processing. He actively participates in exhibitions, artist talks, and academic workshops.

Kathrin Kirchnerمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Data Science
• Digital Transformation
• +۷ مورد دیگر

Kathrin Kirchner is an Associate Professor at the Department of Engineering Technology and Didactics at DTU. Her research focuses on transformative effects of digital technologies in workplaces, including AI, data science, and hybrid work dynamics. She explores how these technologies impact employee well-being, organizational strategies, and business models. Currently, she designs courses on analytics, leadership with data, and AI adoption in organizations. She has held editorial roles at the International Journal of Workplace Health Management and Electronic Markets. Kathrin is also a Board member of the Scandinavian Academy of Industrial Engineering and Management (ScAIEM). Her education includes a PhD in Information Systems from Friedrich Schiller University Jena (Germany), with postdoctoral work in healthcare process mining. She previously taught at the Berlin School of Economics and Law. Research interests span digital platforms, knowledge work, algorithmic management, and virtual collaboration. Notable projects include CVEinAI (Critical Virtual Exchange in AI) and studies on AI’s impact on managerial work. Awards include Researcher of the Year 2024 and ICIS 2023 Best Paper (Runner-Up). Teaching includes master’s courses like “From Analytics to Action” and bachelor-level “Innovation Pilot.” She supervises PhD students and advises on AI implementation challenges. Her work aligns with UN SDGs related to quality education and decent work.

Joanna Abrahamمشاهده پروفایل

دانشیار

• Health Informatics
• Perioperative Care
• Telemedicine
• +۶ مورد دیگر

Joanna Abraham, PhD, FACMI, FAMIA, is an Associate Professor in the Department of Anesthesiology and the Institute for Informatics, Data Science and Biostatistics (I2DB) at Washington University in St. Louis. She directs the Center for Applied Health Informatics and leads the SAFE-T Lab, which focuses on improving patient safety and care transitions through telemedicine, machine learning, and collaborative workflow solutions. Her research spans perioperative mental health interventions, AI-driven risk prediction, and health IT implementation. Dr. Abraham has received the 2023 AMIA Diana Forsythe Award for her contributions to biomedical informatics. She collaborates on projects like the TECTONICS telemedicine trial and the Periop ORACLE randomized study evaluating machine learning in clinical decision support. Her work emphasizes culturally adapted interventions for vulnerable populations and interdisciplinary approaches to healthcare innovation. Research interests include: Machine learning applications in perioperative care Telemedicine for critical care consultation Clinician-patient communication during handoffs Mental health in surgical populations Health equity through culturally tailored interventions Recent work highlights include: A 2025 systematic review of postoperative care transition protocols A 2023 randomized trial demonstrating telemedicine's impact on anesthesia care outcomes Development of a culturally adapted mental health intervention for older Black surgical patients Labs/Teams: SAFE-T Lab (Supporting Advancements for Frontline Excellence in Patient Safety and Technology) and the Center for Applied Health Informatics.

Amna Mirzaمشاهده پروفایل

استادیار

• Language and Reading Development
• Learning Disabilities in English Language Learners (ELLs)
• Multilingual Literacy and Orthographies
• +۳ مورد دیگر

Dr. Amna Mirza is an Assistant Professor in the Faculty of Education at Mount Saint Vincent University. Her research focuses on language and reading development, learning disabilities in English Language Learners (ELLs), and the impact of genetics on conditions like Dyslexia. She collaborates with institutions like Wilfrid Laurier University and Brock University on interventions for multilingual literacy improvement. Dr. Mirza also runs teacher training programs internationally, emphasizing literacy principles. She holds a PhD in Developmental Psychology from Wilfrid Laurier University and supervises graduate students at MA/PhD levels. Her office is located in Seton 579, and she can be reached at Amna.Mirza@MSVU.CA. Her work examines reading profiles in diverse orthographies (e.g., Urdu, English) and evaluates vocabulary-based interventions for ELLs. Current projects explore how enriched literacy programs affect 2nd/3rd graders with/without learning disabilities. She also investigates AI ethics, digital transformation, and Industry 4.0 implications across governance and climate change. Education: PhD in Developmental Psychology (Wilfrid Laurier University) Research Collaborations: Wilfrid Laurier University, Brock University International Projects: Teacher training programs on literacy principles Supervision: Accepting MA/PhD students in Education Dr. Mirza’s research bridges educational psychology and technological advancements, addressing both foundational learning challenges and societal impacts of digitalization. Her recent work spans AI-driven governance systems, circular economy opportunities, and ethical challenges in AI applications.