Find Academic Supervisors

• Visual Arts and Design
• Service Design
• Empathic Design
• +3 more

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 MatosView profile

Professor

• Digitization Effects on Creative Industries
• Social Networks and Peer Influence
• Consumer Privacy Regulation
• +3 more

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 WuView profile

Associate Professor

• Airline Operations Management
• Airport Terminal Planning
• Aircraft Scheduling
• +4 more

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 StellatoView profile

Assistant Professor

• Mathematical Optimization
• Machine Learning
• Optimal Control
• +3 more

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
• +4 more

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 LahiriView profile

Assistant Professor

• Platform Business Models
• Sharing Economy
• Frontline Workers
• +4 more

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
• +7 more

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 BešinovićView profile

Lecturer

• Railway Transport Systems
• Transportation Optimization
• Artificial Intelligence in Transport
• +3 more

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 RossmannView profile

Professor

• Digital Business
• Data Governance
• Smart Cities
• +5 more

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
• +3 more

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.

• Organizational Behavior
• Human Resource Management
• Organizational Learning
• +6 more

Yumei Yang is a Professor and Principal Academic in Human Resource Management and Organizational Behaviour at Bournemouth University's Faculty of Management, where she also serves as MBA Program Director. Holding a PhD in Organizational Defensive Routines (2017), she specializes in organizational routines, technostress, and HR innovation. Her research developed a widely used scale for measuring defensive routines. She is an Associate Editor for the International Journal of Organization Theory & Behaviour and Track Chair for the European Academy of Management. Education includes a MSc in International Business Management (2011) and PGCE in Education (2017), both from Bournemouth University. She has secured funding through Erasmus Global Staff Mobility grants and holds external roles such as External Examiner at Kingston and Middlesex Universities. Her work aligns with UN SDGs focusing on healthy work environments and sustainable economic growth. Research interests: Organizational learning, AI trust development, big data in HRM, and work-life balance. Grants: 2× Erasmus-funded projects (2019, 2022). PhD supervision includes studies on skills gaps in Saudi Arabia, green HRM in Nigeria, and Chinese work values. Labs/Teams: Active in EURAM and EGOS networks, leading cross-disciplinary research initiatives.

• Care Technology
• Assistive Technologies
• Neurocognitive Disorders
• +4 more

J. Artur Serrano is a Professor at the Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU). His research focuses on Care technology for neurocognitive disorders Social robots in dementia care User participation in technology design His work spans Health Informatics , Gerontechnology , and Human-Robot Interaction , with a strong emphasis on Immersive environments for dementia Emotional connection through technology Co-creation in healthcare Notable trends in his publications include SENSE-GARDEN Project applications, smart furniture systems , and VR/ICT-based therapies for elderly care. He is affiliated with research platforms like IMRO-lab and LIFEBOTS Exchange , focusing on Robot deployment in homes Context-aware assistive devices Ethical technology adoption across Norway.

• Machine Learning
• Smart Technologies
• Sentiment Analysis
• +4 more

Krishnadas Nanath is a Researcher at Middlesex University's CPC Computer Engineering & Informatics PG Research Institute in Dubai. His work spans machine learning, smart technologies, and sustainability. Research Focus: Mental health modeling during pandemics Fake news virality analysis Smart tourism systems Green IT implementation Cloud computing adoption Decision analytics Article Trends: Recent work combines sentiment analysis with machine learning for social impact studies, while earlier research focuses on cloud computing and sustainability. Key disciplines include Computer Science, Environmental Science, and Education Technology. Contact: K.Nanath@mdx.ac.uk | ORCID

Shan BaoView profile

Professor

• Human Factors
• Automated Vehicle Technologies
• Driving Safety
• +8 more

Shan Bao is a Professor and Chair in the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn, with a joint appointment as Research Professor at the University of Michigan Transportation Research Institute (UMTRI) Human Factors Group. She is affiliated with the UM Civil and Environmental Engineering department, UM Robotics Institute, and the Institute of Data Science. Ph.D. in Mechanical and Industrial Engineering, University of Iowa (2009) B.E. in Mechanical Engineering, Hefei University of Technology, China (2000) Dr. Bao specializes in human factors related to connected and automated vehicle technologies, ADAS system evaluation, big data analysis, driving behavior modeling, and vulnerable road user safety. Her research includes algorithm development, statistical modeling, and evaluation of safety technologies. Her recent publications focus on multimodal interfaces for AV accessibility, driver fatigue analysis, pedestrian conflict modeling, and machine learning applications in transportation safety. Grants include projects on global AEB testing harmonization, inclusive AV design, and driver-to-driver communication infrastructure.

• Computer-assisted Audit Tools and Techniques
• Data Analytics on Fraud Detection
• Information Systems Auditing
• +3 more

Isabel Pedrosa is an Associate Researcher at ISTAR-Iscte Research Center within ISCTE - University Institute of Lisbon. She specializes in Information Systems with a focus on computer-assisted auditing, fraud detection analytics, and gender disparities in technology. Her academic journey includes a PhD in Information Science and Technology (ISCTE-IUL), a Master's in Systems and Informatics, and a Bachelor's in Informatics Engineering (both from University of Coimbra), complemented by postgraduate studies in People and Team Management at Coimbra Business School. Her research explores Computer-assisted Audit Tools , Fraud Analytics , and Business Intelligence , with significant work on technology adoption models in auditing. Recent publications analyze AI's impact on accounting, cybersecurity disclosures, and gender bias in STEM education. She maintains active collaborations across Portuguese academic institutions including Instituto Superior de Contabilidade e Administração de Coimbra. Scientific Awards: International CIDA Certification, Certified IDEA Data Analyst (2017) Ambassador for ISACA Lisbon Chapter's She Leads Tech gender equality initiative She coordinates postgraduate programs in Audit, Risk and Control of Information Systems and has advised over 80 Master's students on topics spanning data analytics, AI in auditing, and business intelligence. Her teaching includes the course 'Analytical Methods for Fraud Detection' at INDEG-IUL.