جست‌وجوی استاد و پژوهشگر

Nicola Valentino Canessaمشاهده پروفایل

دانشیار

• Urban Planning
• Urban Design
• Smart Cities
• +۵ مورد دیگر

Nicola Valentino Canessa serves as an Associate Professor in the Department of Architecture and Design (DAD) at the University of Genoa's Polytechnic School, where he holds dual administrative roles on the Department Board and Joint Teacher-Student Commission. His academic responsibilities span multiple degree programs including Architectural Sciences, Architecture, and Product Event Design. Professor Canessa's research centers on innovative urban planning methodologies, with particular emphasis on multi-scalar design approaches, responsive city systems, and the integration of digital technologies in urban development. His work bridges technical GIS applications with socio-cultural dimensions of urban spaces, addressing contemporary challenges in sustainability and inclusivity. Recent publications reveal a strong focus on practical urban solutions through personalized mobility applications, empathic city frameworks, infrastructural renaturalization strategies, and GIS-based cultural storytelling. These works demonstrate consistent interdisciplinary collaboration with international researchers on projects targeting real-world urban transformation. He actively contributes to the Responsive Open Campus Savona initiative and leads specialized urban planning assignments under the CEAR-12/B framework, connecting academic research with community-oriented urban development practices. Office hours are held Monday mornings from 10-11 by appointment.

Bhargavi Maheshمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Artificial Intelligence
• Affective Computing
• +۳ مورد دیگر

Bhargavi Mahesh is a Scientific Associate at the Chair of Human-Centered Artificial Intelligence within the Faculty of Applied Computer Science at the University of Augsburg. Her work focuses on interdisciplinary research bridging artificial intelligence, affective computing, and social robotics. Institution: University of Augsburg Department: Chair of Human-Centered Artificial Intelligence Research Interests: Human-Computer Interaction, Social Robotics, Affective Computing, User Experience Design She contributes to projects exploring emotionally intelligent systems, including social robots for healthcare (MindBot, Glassistant), affective interaction frameworks (DEEP, AVASAG), and personalized virtual agents (ARIA-Valuspa, Kristina). Her research emphasizes empathy, trust, and cultural adaptability in AI systems, with applications in mental health, education, and elderly care. Current projects include FORSocialRobots, BIGEKO, TherapAI, and ViLeArn_more, which investigate multimodal emotion recognition (SenseEmotion), empathic data systems (CEEDs), and context-aware recommendation systems (CARE). She collaborates on interdisciplinary initiatives like eCute, Humaine, and IRIS, integrating AI with education and human-centric design.

Harry Hochheiserمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Information Visualization
• Bioinformatics
• +۷ مورد دیگر

Harry Hochheiser is an Assistant Professor in the Department of Biomedical Informatics at the University of Pittsburgh School of Medicine, where he also serves as Associate Director of the Biomedical Informatics Training Program. His academic career spans multiple disciplines at the intersection of computing and healthcare, with a strong focus on human-computer interaction, bioinformatics, and medical informatics. Dr. Hochheiser's research interests include human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. His work particularly focuses on NIH-funded projects related to bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases. His research demonstrates a commitment to developing technology that addresses real clinical needs while considering user experience and ethical implications. His publication record shows consistent scholarly output across multiple domains, with recent work emphasizing biomedical informatics, machine learning applications in healthcare, epidemiological modeling, and academic publishing practices. His research demonstrates a strong interdisciplinary approach that bridges computer science with clinical medicine and public health, with particular attention to human-centered design principles in healthcare technology. Editorial Board Member, PeerJ - the Journal of Life & Environmental Sciences Editorial Board Member, PeerJ Computer Science Over 2,900 points on PeerJ representing 2,800 editorial contributions and 105 reviews Dr. Hochheiser has made significant contributions across numerous subject areas including Science and Medical Education, Science Policy, Statistics, Human-Computer Interaction, Computational Science, Bioinformatics, and many others. His work has practical implications for healthcare technology development, particularly in creating more effective, user-friendly systems that address real clinical needs while considering privacy and security concerns.

• Reward decision-making
• risk-taking
• neuroeconomics
• +۴ مورد دیگر

Oliver James Hulme serves as Associate Professor in the Department of Psychology within the Faculty of Social Sciences at the University of Copenhagen. His office is located at Øster Farimagsgade 2A, 1350 København K, with scheduled office hours on Thursdays from 12:00-13:00. His research focuses on: Reward decision-making risk-taking neuroeconomics functional neuroimaging Bayesian modelling cognitive computational neuroscience open science Publications from 2013-2024 demonstrate sustained investigation into neural mechanisms of decision processes, particularly in Parkinson's disease, aging populations, and eating disorders. His methodology integrates fMRI, computational modeling, and behavioral paradigms to examine risk assessment, neural connectivity, and cognitive control under varying physiological states. No scientific awards were documented in the source material. Details regarding student supervision, grant funding, and laboratory infrastructure were not provided in the available information.