جست‌وجوی استاد و پژوهشگر

• AI in Biology
• Bioimaging Analysis
• Data-Driven Science
• +۳ مورد دیگر

Wei Ouyang is an Assistant Professor in the Department of Applied Physics at KTH Royal Institute of Technology. He leads the AICell Lab , funded by the Data-Driven Life Science Fellow program, focusing on developing AI systems for data-driven cell and molecular biology. The lab's work emphasizes integrating advanced computational tools with biological imaging to advance understanding of cellular processes. His research interests include bioimaging analysis , deep learning applications , and cloud-optimized data formats . Notable contributions include open-source platforms like ImJoy and Pycro-Manager , which enhance accessibility and reproducibility in microscopy and bioinformatics. Recent publications highlight innovations in AI-driven microscopy tools , automated imaging frameworks , and data-sharing platforms . Key projects include the ESPressoscope for portable microscopy and the BioImage.IO Chatbot for community-driven bioimaging support. Dr. Ouyang teaches the Data-driven Life Sciences course at KTH and oversees the Degree Project in Applied Physics . His work bridges computational methods with biological discovery, fostering collaborative advancements in life sciences.

Lauren Ferroمشاهده پروفایل

مدرس

• Human-Centred Design
• User Experience (UX)
• Interaction Design
• +۳ مورد دیگر

Dr. Lauren Ferro is a Lecturer in Digital Design (UX/UI) at the School of Design, RMIT University. Her research focuses on Human-Centred Design, User Experience, Interaction Design, Extended Reality (XR), and Cybersecurity Human Factors. She employs interdisciplinary methods blending psychology, technology, and interaction science to enhance system usability and security. Her work explores themes such as player/user experience, behavioral design, and adaptive systems. She is available for co-supervision of PhD students and has contributed to research on serious games, cybersecurity education, and gamification frameworks. Her publications span conferences like CHI and journals in entertainment computing and educational technology.

• Computer Vision
• Robotics
• Sensor Fusion
• +۴ مورد دیگر

Miguel Ángel García Garrido is an Associate Professor at the University of Alcalá's Electronics Department, specializing in robotics, computer vision, and sensor fusion. He leads the Robesafe research group (Service Robotics and e-Safety Technologies) and has expertise in traffic systems, autonomous navigation, and indoor positioning. His work integrates multi-sensor technologies with AI-driven data analysis. He earned his Ph.D. in 2010 with a thesis on vision-based traffic sign recognition systems. His research spans applications from automotive safety to retail analytics, combining traditional signal processing with modern machine learning techniques. Key contributions include fusion-based indoor positioning systems, real-time traffic sign detection algorithms, and automated infrastructure inspection tools. Recent work focuses on customer activity analysis in open malls using linguistic reporting and process mining. No scientific awards are explicitly mentioned. His research group collaborates on projects involving V2I communication, sensor calibration, and autonomous vehicle systems. No grants or advising details are provided in the source text.

Shuyang Liمشاهده پروفایل

دانشیار

• Business Analytics
• Information Systems
• Organizational Digital Transformation
• +۵ مورد دیگر

Dr. Shuyang Li is an Associate Professor in Business Analytics at the University of Birmingham, affiliated with the Department of Accounting within Birmingham Business School. Her academic journey includes a PhD in Information Studies, an MSc in Information Systems, and a BSc in Management, and she is a Fellow of the Higher Education Academy (FHEA). Prior to joining the University of Birmingham, she served as a Lecturer in Information and Operations Management at the University of Sheffield from 2019 to 2023. PhD in Information Studies MSc in Information Systems BSc in Management Her research focuses on the socio-technical dimensions of emerging technologies, particularly how advanced data analytics and management information systems impact organizational practices. Key interests include organizational digital transformation, adoption of emerging technologies, and data-driven strategies for social media marketing. Her interdisciplinary work bridges business analytics, information systems, and organizational behavior. The recent publications reflect a strong trend in digital transformation across sectors such as healthcare, transportation, tourism, and smart manufacturing. Her work frequently explores the interplay between technology and human or organizational factors, emphasizing value co-creation, crisis response, and socio-technical barriers to innovation. She employs both qualitative and quantitative methods, often applying fsQCA and content analysis to complex organizational phenomena. Dr. Li has secured research funding from prestigious bodies including UKRI STFC, UFI VocTech Trust, and the National Natural Science Foundation of China, demonstrating strong external recognition of her research agenda. UKRI STFC UFI VocTech Trust National Natural Science Foundation of China She teaches at both undergraduate and postgraduate levels and currently leads the module Data Management Strategies and Technologies . While no specific advisees are listed, her active research and leadership suggest a growing supervisory role. She is not associated with any named laboratory or research center in the provided text, but her collaborative publications indicate engagement in interdisciplinary research teams.

Satu Miettinenمشاهده پروفایل

استاد

• Service Design
• Arts-based Methods
• Empathy
• +۴ مورد دیگر

Saturn Miettinen is a Professor at the Faculty of Art and Design, University of Lapland. She leads research in Service Design, Arts-based Methods, and Empathy-driven innovation. Her work emphasizes place-making in Arctic contexts and strategic foresight in design. She has led 33 projects including EU-funded initiatives like ProtoXR and VTST, focusing on virtual production technologies and empathy in business. Key awards include the ADI Golden Compass Honourable Mention and Tiedepalkinto. Research interests span service design methodologies, non-human communication, and bioart collaborations. She has supervised 18 projects and published 319 works since 1997. Current roles include co-leadership of UArctic's Arctic Sustainable Arts and Design network and the DeSo Designed Society community. Teaching involves graduate programs like the Joint Master's in Service Design Strategies. 35+ international collaborations across 15+ countries 12+ active research projects (2023-2028) 6+ academic networks and editorial roles Her lab work includes BioARTech initiatives and participatory design studios. Recent activities include organizing Cumulus 2025 conference and presenting at global design forums. She co-authored boundary-spanning design frameworks and empathic service systems.

• Visual Arts and Design
• Service Design
• Empathic Design
• +۳ مورد دیگر

Ki Nam is a Lecturer at the University of Lapland’s Faculty of Art and Design, focusing on empathic design strategies and service innovation. He collaborates on projects like the RRF Empathy Business initiative (2022–2024), exploring digital service prototyping and creativity. His research spans visual arts, design strategy, and social economics, emphasizing bridging human-technology gaps and citizen-centric service design. Research interests include empathic service design, participatory arts, and creative knowledge generation. Key projects involve analyzing stakeholder mapping with AI tools, such as Generative Pre-trained Transformers (GPT). His work often intersects with policy and urban contexts, addressing challenges in big cities and political engagement. Publications highlight trends in service innovation for food industries, empathic strategies for citizen services, and the role of dialogue in collaborative arts. He co-created a dataset from 20 interviews with service design experts, contributing to empirical research methods. Recent activities include organizing workshops on empathetic stakeholder mapping and presenting at conferences on AI-driven design practices. Collaborations span international networks, reflecting his interdisciplinary approach to design challenges.

Miguel Godinho de Matosمشاهده پروفایل

استاد

• Digitization Effects on Creative Industries
• Social Networks and Peer Influence
• Consumer Privacy Regulation
• +۳ مورد دیگر

Miguel Godinho de Matos is a Full Professor of Information Systems and Management at Católica Lisbon School of Business & Economics, serving as Dean of Faculty. He holds a courtesy appointment as Visiting Research Scientist at Carnegie Mellon University's Heinz College, affiliated with the Initiative for Digital Entertainment and Analytics (IDEA). His academic journey includes a Ph.D. and M.Sc. from Carnegie Mellon University's Engineering & Public Policy program, and dual B.Sc./M.Sc. in Computer Engineering from Instituto Superior Técnico, Lisbon. Research focuses on digitization's impact on creative industries, social network dynamics, consumer privacy regulation, and big data analytics. Notable work includes field experiments on subscription video platforms, telecom policies, and GDPR effects. He manages $1M+ in research funding (2/3 industry-sourced) and serves as Senior Editor at MIS Quarterly since 2024. Education: Agregação (Habilitation), Católica Lisbon (2021) Ph.D., Carnegie Mellon University (2013) M.Sc. (2×), Carnegie Mellon University & Instituto Superior Técnico (2005-2011) His 20+ publications appear in top journals like Management Science, Marketing Science, and Journal of Political Economy. Recent work examines telecommunication policy effects, consumer consent post-GDPR, and content strategy optimization. Awards include INFORMS and AIS Early Career distinctions (2019). Engages industry through consulting for telecom firms in Europe/Asia and Statistics Portugal. Former investment banker and management consultant before academia.

Cheng-Lung Wuمشاهده پروفایل

دانشیار

• Airline Operations Management
• Airport Terminal Planning
• Aircraft Scheduling
• +۴ مورد دیگر

Associate Professor Cheng-Lung Wu is an academic at the School of Aviation, University of New South Wales (UNSW), specializing in airline operations, airport terminal planning, and big data analytics. He holds a PhD from Loughborough University (UK) and has over 20 years of industry-academia collaboration experience. His work focuses on optimizing airline and airport processes, including aircraft scheduling, maintenance, and passenger behavior modeling. Research interests include: airport operations, schedule optimization, data-driven decision-making, and sustainability in aviation. Notable projects include fuel efficiency models for Qantas, passenger booking analytics for Virgin Australia, and airport digitalization strategies for Taipei Songshan Airport. His research has influenced industry standards, such as IATA’s delay data system and Chicago O’Hare’s terminal co-location strategy.

Bartolomeo Stellatoمشاهده پروفایل

استادیار

• Mathematical Optimization
• Machine Learning
• Optimal Control
• +۳ مورد دیگر

Bartolomeo Stellato is an Assistant Professor at the Department of Operations Research and Financial Engineering at Princeton University. He is also an associated faculty in the Department of Electrical and Computer Engineering and the Department of Computer Science, and affiliated with initiatives such as AI at Princeton, the Center for Statistics and Machine Learning, and Robotics at Princeton. Additionally, he is a fellow at Princeton Whitman College. His research focuses on the intersection of mathematical optimization, machine learning, and optimal control, with an emphasis on developing data-driven computational tools for decision-making in dynamic and uncertain environments. He has received several awards, including the 2025 ONR Young Investigator Award, the Howard B. Wentz, Jr. Junior Faculty Award, and the Beale — Orchard-Hays Prize. Stellato’s work includes contributions to optimization algorithms, such as the OSQP solver, and applications in healthcare, robotics, and resource allocation. His research group has produced impactful papers on topics like robust optimization, neural network-based control systems, and data compression for real-time stochastic optimization. He advises multiple PhD and master’s students and has secured grants from organizations such as the NSF and ONR. His interdisciplinary collaborations span fields like control theory, healthcare analytics, and machine learning, reflecting his commitment to advancing real-world applications of optimization.

• Computer Vision
• Image Processing
• Machine Learning
• +۴ مورد دیگر

Marco La Cascia is a Full Professor at the University of Palermo, affiliated with the School of Engineering. His research focuses on Computer Vision, Image Processing, and Machine Learning. He leads the CVIP (Computer Vision and Image Processing) research group, whose website was established in 2015. His work spans topics such as deepfake technology analysis, text classification pipelines, and 360-degree camera applications. He maintains active office hours via Microsoft Teams and in-person meetings. Collaborations include Erasmus agreements with universities in the Czech Republic, Spain, and Lithuania. His recent publications emphasize AI-driven solutions in surveillance, social media analysis, and NLP applications. Key achievements include developing the CVIP group’s infrastructure, advancing pedestrian action classification models, and exploring the societal impact of deepfake technology. His teaching responsibilities include courses in engineering and computer science, with a focus on integrating cutting-edge research into educational frameworks.

Avishek Lahiriمشاهده پروفایل

استادیار

• Platform Business Models
• Sharing Economy
• Frontline Workers
• +۴ مورد دیگر

Avishek Lahiri, Ph.D., is an Assistant Professor of Marketing at the Schmidthorst College of Business, Bowling Green State University (2024–present). He holds a Ph.D. in Marketing (Strategy) from Georgia State University (2021), an MSc in International Management from ESADE Business School (2013), a CEMS dual degree from Richard Ivey School of Business (2013), an MBA in Marketing from IBS Business School (2010), and a BCom in Accountancy from Goenka College (2008). His research focuses on platform business models (e.g., sharing economy, app stores, transportation networks) and frontline workers in technology-mediated environments. Key areas include AI-driven control systems, gig economy workforce dynamics, and governance challenges in digital platforms. He explores how AI monitoring and incentives impact frontline employees and customer interactions. Publications include studies on ridesharing commission structures, organizational reputation in higher education, and strategic frameworks for sharing economy profitability. His work has appeared in the Journal of the Academy of Marketing Science , Industrial Marketing Management , and Journal of Business Research . He received a $4,576 Charles A. William Scholarship for research on freelance orientation in labor platforms. Current projects include AI’s role in frontline principal-agent relationships and interorganizational governance in network economies. Teaching focuses on Professional Selling , AI in Sales , and Marketing Strategy . Prior industry experience includes roles at Regalix Inc. (digital marketing) and 3M India (sales management), along with internships at Swiss Holidays AG and Philips Electronics.

• High-Performance Computing
• Neuromorphic Engineering
• Bio-inspired Systems
• +۷ مورد دیگر

Pedro Filipe Zeferino Tomás is an Associate Professor at the University of Lisbon's College of Engineering, Department of Electrical and Computer Engineering. He is affiliated with INESC-ID research institute and teaches courses on Large Scale Computing, Computer Architecture, and High Performance Computing. His academic career includes a PhD in Neural Code modeling (2009), a Master's in DSP hardware structures (2006), and a Bachelor's in Bio-Inspired Artificial Retina design (2003). His research focuses on neuromorphic engineering, parallel computing architectures, and biosensing applications. Key areas include GPU optimization, transprecision arithmetic, neural prosthetics, and participatory urban biosensing. He has pioneered bio-inspired systems for visual neuroprostheses and developed energy-efficient hardware accelerators for machine learning. His recent work integrates biosensors into urban studies, exploring participatory methods for analyzing affective geographies and walkability. Over 60 peer-reviewed publications demonstrate his contributions to high-performance computing, neural modeling, and interdisciplinary urban technology. Grants: Multiple EU-funded projects in neuromorphic systems and urban biosensing Labs: Leads the Heterogeneous Computing Lab at INESC-ID and collaborates with neural engineering teams

Nikola Bešinovićمشاهده پروفایل

مدرس

• Railway Transport Systems
• Transportation Optimization
• Artificial Intelligence in Transport
• +۳ مورد دیگر

Dr. Nikola Bešinović serves as the acting head of the Chair of Rail and Public Urban Transport at TU Dresden's Friedrich List Faculty of Transport and Traffic Sciences. He previously held roles as a lecturer and researcher at TU Delft's Faculty of Civil Engineering and Geosciences, where he earned his PhD in Railway Science (2017). His research focuses on optimizing railway systems through advanced analytics and AI, with an emphasis on resilience, sustainable operations, and disruption management. Education: BSc in Railway Transport and Traffic Engineering, University of Belgrade (2004–2009) MSc in Operations Research in Transport, University of Belgrade (2009–2011) PhD in Railway Science, TU Delft (2012–2017) Research Interests: Resilient transport systems and infrastructure criticality analysis Data-driven decision-making in railway operations AI applications in timetabling and scheduling Passenger-centric disruption management strategies Electrification strategies for regional rail networks Awards: Young Railway Operations Researcher Award (IAROR) First Prize TRAVISIONS Young Researcher Competition Best Student Paper (INFORMS Railway Application Section) 3rd Best IEEE ITS Dissertation Award His work integrates mathematical modeling with real-world challenges, aiming to advance rail transport as a sustainable and efficient mobility solution. Current projects explore AI-driven solutions for adaptive timetables and post-disaster network recovery.

Alexander Rossmannمشاهده پروفایل

استاد

• Digital Business
• Data Governance
• Smart Cities
• +۵ مورد دیگر

Prof. Dr. Alexander Rossmann is a Professor of Business Administration, specializing in Digital Business at Reutlingen University's Faculty of Informatics. He leads the Herman Hollerith Zentrum and oversees digital business education programs. His research focuses on data governance, smart cities, IT governance, and organizational agility, with contributions to over 50 peer-reviewed publications. He advises on digital transformation strategies and corporate startup governance. Key projects include urban data governance frameworks and enterprise social network implementations. His work bridges academic research with practical business challenges, emphasizing digital maturity models and agile IT systems. Education: PhD in Business Administration (2010, University of St. Gallen), Diplom-Kaufmann (1999, University of Tübingen) Research Interests: Smart cities, digital transformation governance, corporate agility, and social media in business. He actively contributes to conferences like HICSS and ECIS, and his research addresses challenges in data-driven urban strategies and organizational ambidexterity. His leadership roles include managing digital hubs for SMEs and advising on digital service architectures.

• Consumer Behavior
• Tourist Behavior
• Marketing Communication
• +۳ مورد دیگر

Alessandro Maria Peluso is a Full Professor of Business Management at the University of Salento, Department of Economic Sciences. He is actively involved in research, teaching, and academic service, with a strong international presence through collaborations and editorial roles. Research Interests: Consumer Behavior Tourist Behavior Marketing Communication Branding Business Management His scholarly work explores psychological and behavioral aspects of consumer decision-making, particularly in digital, luxury, and sustainable contexts. He investigates emotional drivers such as shame, self-expression, and perceived age, and their impact on consumption patterns. Publication Trends: His recent articles (2012–2021) span top journals in marketing and consumer research. Key themes include AI in marketing, sensory experiences, green consumption, luxury branding, and social media engagement. The research integrates behavioral psychology with marketing strategy, emphasizing cognitive processes, emotional appeals, and cross-cultural dynamics. Scientific and Professional Affiliations: Associate Editor, Journal of Business Research Editorial Review Board, Psychology & Marketing Editorial Review Board, Journal of Hospitality and Tourism Technology Member, Academy of Marketing Science Member, Association for Consumer Research Member, European Academy of Marketing Member, Italian Marketing Society Member, Italian Management Society Teaching and Advisory Roles: Prof. Peluso teaches Business Management and Tourist Destination Marketing at the University of Salento. As an Adjunct Professor at LUISS University and LUISS Business School, he contributes to programs in sustainability, customer analytics, and marketing strategies. While specific advisees are not listed, his extensive co-authorship network suggests active mentorship and collaboration. Collaborative Research: He maintains a broad international research network, collaborating with scholars from institutions in the USA, UK, Germany, France, China, and across Europe, particularly through co-authored publications in leading journals and conferences.