Find Academic Supervisors

Steve UhligView profile

Professor

• Cloud Computing
• Edge Computing
• AI and Machine Learning
• +7 more

Professor Steve Uhlig holds the position of Professor of Networks and Head of School at Queen Mary University of London's School of Electronic Engineering and Computer Science. His expertise spans AI-driven networking, cloud computing sustainability, and interdisciplinary applications in healthcare and education technology. Research interests include advancing edge and fog computing frameworks, generative AI in resource management, quantum computing challenges, and leveraging machine learning for sustainable systems. He explores topics like serverless computing optimization, explainable AI (XAI), and blockchain-enhanced IoT healthcare solutions. His work also addresses educational impacts of AI, such as curriculum redesign and online learning environments. In publications, he emphasizes proactive orchestration in Kubernetes, energy-efficient cloud resource allocation, and cold-start latency mitigation in serverless systems. Notable contributions include frameworks like COUNTER, ProKube, and PRICELESS, which integrate AI for network and computational efficiency. His research highlights trends in sustainable computing, AI deployment at network edges, and quantum computing's future directions. No scientific awards or grants are explicitly mentioned in the provided texts. He advises no listed students but teaches postgraduate modules such as Applied Statistics, focusing on practical data analysis and probabilistic modeling.

• Self-Organizing AI
• Machine Learning
• Text Analytics
• +3 more

Damminda Alahakoon is Professor of Business Analytics and AI at La Trobe University, where he founded and directs the Research Centre for Data Analytics and Cognition (CDAC). With dual appointments at Luleå University (Sweden) and University of Moratuwa (Sri Lanka), he bridges international AI research. His 15+ year academic career follows 10 years in industry, including roles in finance and IT across Australia, Sri Lanka, and the Netherlands. Research Impact: Developed the Growing Self-Organizing Map (GSOM) algorithm for adaptive AI systems applied in healthcare, utilities, and smart cities. Current projects include generative AI for healthcare chatbots and quantum optimization for energy systems. Industry Collaboration: Secured $6M+ in research funding for projects like AI-driven stroke rehabilitation monitoring and mining workforce analytics. Recent industry partnerships focus on operationalizing ethical AI frameworks in Australia-India tech corridors. Teaching: Leads the Master of Business Analytics program, specializing in predictive analytics curriculum development.

• Digital Libraries
• Information Science
• Sustainable Development
• +5 more

Professor Gobinda Chowdhury is a Professor of Information Science in the Department of Computer & Information Sciences at the University of Strathclyde. He has over 25 years of experience in teaching and research, holding senior management roles in UK and Australian universities. Currently, he serves as Chair of the global iSchools Organization and member of its Board of Directors. His research focuses on digital libraries, sustainable development, and information systems addressing global challenges. Key projects include SustDL-UK (2024-2025), Libraries as Agents of Sustainability Thinking in Scotland (2023-2024), and the iSchools Knowledge Map (2022-2023). He has led/co-investigated grants totaling over £multi-million, emphasizing sustainability, digital skills, and library innovation. Recent publications explore digital divides, library automation in Nigeria, and LIS contributions to climate action. Professional activities include speaking engagements at international conferences, such as BOBCATSSS2024 and the National Library of China. He actively promotes partnerships and mentors PhD students, advocating for interdisciplinary approaches to information science challenges. His work aligns with UN Sustainable Development Goals, particularly in education, climate action, and reducing inequalities.

Liang ZhangView profile

Researcher

• Deep Learning
• Artificial Intelligence
• Cybersecurity
• +5 more

Liang Zhang is a Researcher at the University of Arizona, specializing in text- and image-based scientific knowledge extraction, deep reinforcement learning, network security, and signal processing. His work focuses on integrating large language models (LLMs) into building energy modeling, automation, and predictive systems. He leads efforts in developing automated workflows for energy analysis, fault detection, and data-driven decision-making in smart building systems. His research bridges AI, computational physics, and building science to enhance energy efficiency and sustainability. Key projects include the EPlus-LLM platform for automated building simulations, ComStock™ energy data releases, and studies on sensor impacts in building controls. His methodologies combine physics-informed models with machine learning to address challenges in energy systems. Zhang collaborates across disciplines to advance AI applications in energy sectors, emphasizing scalable solutions and interpretability in control systems. His publications highlight innovation in LLM-based automation, feature selection for predictive models, and energy load profiling for sustainable urban systems. He actively engages in developing open data standards and simulation testbeds for energy research communities.

Dominic ChalmersView profile

Professor

• Entrepreneurship
• Artificial Intelligence
• Digital entrepreneurship
• +5 more

Professor Dominic Chalmers is a faculty member at the Adam Smith Business School, University of Glasgow, specializing in Entrepreneurship and Innovation. He holds a Professorial rank and contributes to teaching in MSc Financial Technology and MBA programs. His research focuses on digital entrepreneurship, artificial intelligence applications in ventures, platform economies, and social innovation. He leads a €1.2m EU-funded project on data-driven entrepreneurship and co-leads a €4.5m Horizon 2020 initiative examining technology legitimization. Research Interests: Artificial intelligence and venture processes Platforms and digital entrepreneurship Social innovation and institutions FinTech and financial regulation Strategic entrepreneurship in environmental contexts Grants & Projects: Principal Investigator: €1.2m EU HIE project Co-Investigator: €4.5m Horizon 2020 project Co-I on ESRC Future Finance (£1.8m) and Innovate UK Financial Regulation Innovation Lab (FRIL) Lead on 'Community Wealth Building through Digital Platform Cooperatives' for Scotland Advising & Teams: Supervises PhD candidate Sarah Herzog exploring entrepreneurial ecosystems. Leads the Entrepreneurship, Development and Political Economy research cluster and contributes to the Social and Digital Change Group at Glasgow. Publications: Over 20 peer-reviewed articles in top journals like Strategic Entrepreneurship Journal , Journal of Business Venturing , and Entrepreneurship, Theory and Practice . Recent work includes studies on NFTs in creative industries, AI-driven venture creation, and Fintech's role in financial inclusion.

Kim JeeeunView profile

Assistant Professor

• Digital Fabrication
• Human-Computer Interaction
• Human-Artificial Intelligence Interaction
• +3 more

Dr. Kim Jeeeun is an Assistant Professor in Computer Science & Engineering at Texas A&M University, directing the HCIED (HCI Engineering & Design) Lab. She holds a PhD (2019) and MS (2015) from the University of Colorado Boulder, and a BS (2010) in Computer Engineering from Korea Aerospace University. Her research focuses on digital fabrication , human-computer interaction , and design research , exploring how technology can democratize access to fabrication tools and improve human-AI collaboration. Notable projects include 3DPFIX (AI-driven 3D printing troubleshooting) and 3D4ALL (inclusion in 3D printing communities). Recent work includes: Instance detection in open-world scenarios (CVPR'25) LumosX: 3D-printed light-transfer materials (CHI'25) Material-driven rapid prototyping methodologies Recipient of prestigious awards including NSF CAREER Award (2024), TEES Young Faculty Fellow (2023), and Adobe Research Fellowship (2018). Active in academic service, serving as General Co-Chair for UIST'25 and PC roles in CHI/TEI/UIST conferences. Her lab develops tools like HowDIY to bridge fabrication expertise gaps, and OmniSoft for designing soft objects. Ongoing projects explore 4D printing hybrid approaches and energy-harvesting mechanisms (E3D).

Xulong TangView profile

Assistant Professor

• High-Performance Computing
• Parallel Computer Architectures
• GPU Optimization
• +4 more

Xulong Tang is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh. He holds a PhD in Computer Science from Penn State (2019), an MS from the University of Science and Technology of China (2013), and a BS from Harbin Institute of Technology (2010). His research focuses on high-performance computing, parallel architectures, and compiler optimization for heterogeneous systems. Research interests include GPU optimization, compiler-assisted parallel computing, quantum computing systems, and efficient machine learning frameworks. He advises multiple PhD students and has published extensively in top conferences like ASPLOS, ISCA, and MICRO. His work addresses challenges in multi-GPU systems, quantum circuit simulation, and adversarial machine learning. Tang has collaborated on projects involving quantum computing optimization, photonic quantum systems, and edge device acceleration. Notable contributions include frameworks for efficient training of temporal graph neural networks and compiler-driven hardware-software co-design. He serves as a program committee member for ASPLOS and IEEE Micro Top Picks.

Fabrizio ColellaView profile

Assistant Professor

• Labor Economics
• Microeconometrics
• Applied Microeconomics
• +7 more

Fabrizio Colella is an Assistant Professor of Economics at the Università della Svizzera Italiana (USI), affiliated with the Faculty of Economic Sciences and the Institute of Political Economy (IdEP). He is also associated with several leading research networks including IZA, CReAM (UCL), RF Berlin, HEC Lausanne, and FRdB, reflecting his broad academic impact. Università della Svizzera Italiana (USI), Lugano – Assistant Professor of Economics Rockwool Foundation Berlin – Project Leader Centre for Research and Analysis of Migration (CReAM), UCL – Research Affiliate Institute for the Study of Labor (IZA) – Research Fellow His research focuses on labor economics and microeconometrics, particularly examining how economic shocks, discriminatory behaviors, technological change, and migration shape labor market outcomes. A key theme in his work is the analysis of job vacancies and labor demand using novel datasets such as online job postings, firm-level trade records, and sports performance metrics. He investigates issues like gender discrimination in hiring, the impact of trade on skill requirements, automation risk, and the role of moral support in team performance. His recent publications span top journals including The Review of Economic Studies , Management Science , Science Robotics , and The Economic Journal . He has developed influential methodological tools, notably the acreg Stata package for arbitrary clustering in standard error estimation, which addresses inference challenges in spatial and network data. His work often combines rigorous econometric techniques with real-world policy implications. Scientific awards and grants recognizing his contributions include the SNF Doc-Mobility grant, EALE Job Market Tour funding, HEC Research grant, Rockwool Foundation Berlin Grant, and the E4S Grant for sustainable economy research. SNF Doc-Mobility grant EALE Job market tour HEC Research grant Rockwool Foundation Berlin Grant E4S Grant Fabrizio Colella advises and collaborates with prominent economists such as David Card, Rafael Lalive, Christian Dustmann, and Mathias Thoenig. He has received research funding from major institutions including the Swiss National Science Foundation and the Rockwool Foundation. He teaches graduate-level courses in Labor Economics and Econometrics at USI and previously served as a Teaching Assistant at HEC Lausanne in Econometrics, International Trade, and Environmental Economics. He leads research teams focused on labor market dynamics, particularly within the Swiss National Research Programme (NRP) 80 project on the impacts of Covid-19. His lab environment emphasizes data-driven policy analysis using administrative, custom firm, and digital labor market data.

Carla Florencia GriggioView profile

Assistant Professor

• Human-Computer Interaction
• Computer-Supported Cooperative Work (CSCW)
• Messaging Platforms
• +4 more

Carla Florencia Griggio is a Tenure Track Assistant Professor in the Department of Computer Science at Aalborg University, Denmark. She specializes in Human-Centered Computing, focusing on how communication technologies impact interpersonal relationships. Her work explores messaging app ecosystems, software customization, and alternative digital communication models. She actively collaborates internationally, particularly in Latin America-centric research initiatives. Her research emphasizes empirical studies and prototyping to enhance user control over digital expression. Notable projects include studying WhatsApp’s privacy policy impact, designing inclusive emoji systems for screen reader users, and fostering Latin American-driven computing research. She has received a conference prize for her work on messaging app ecosystems. Griggio has published extensively in top venues like CHI and CSCW, with a focus on CSCW, HCI, and communication technologies. Her articles highlight themes like AI-assisted collaboration, chatbot data collection, and cultural values shaping technology use. She advocates for inclusive design practices and decentralized software models to address fragmentation in digital communication.

Albert SchrotenboerView profile

Assistant Professor

• Logistics and Supply Chain Optimization
• Operations Research
• Artificial Intelligence in Business
• +3 more

Albert Schrotenboer is an Assistant Professor of Transport and Logistics at Eindhoven University of Technology . He holds a PhD in Operations Research from the University of Groningen (2020), with research focused on algorithmic solutions for emerging logistics challenges like renewable energy transition and omnichannel retail operations. His work integrates mathematical programming, AI, and domain expertise to address societal issues in transportation and supply chain management. Affiliations: EAISI Mobility, Operations Planning & Control group, and EIRES Research Visiting Scholarships: Georgia Tech & Loyola University Chicago Research interests include vehicle routing optimization , stochastic inventory systems , green hydrogen logistics , and AI-driven decision-making . Current teaching focuses on artificial intelligence for logistics , urban mobility innovation , and transport design principles . Recent articles (2023–2025) emphasize multi-stage stochastic programming for hydrogen networks, exact Benders decomposition in routing problems, and reinforcement learning applications in inventory systems. His work is published in top journals like Transportation Science and Operations Research . Active in industry collaboration through Optiflow Solutions , advising on supply chain optimization strategies. Supervises 10 PhD students focusing on cutting-edge logistics challenges including green hydrogen logistics, omnichannel fulfillment, and megacity delivery algorithms.

• AI in Biology
• Bioimaging Analysis
• Data-Driven Science
• +3 more

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 FerroView profile

Lecturer

• Human-Centred Design
• User Experience (UX)
• Interaction Design
• +3 more

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
• +4 more

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 LiView profile

Associate Professor

• Business Analytics
• Information Systems
• Organizational Digital Transformation
• +5 more

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 MiettinenView profile

Professor

• Service Design
• Arts-based Methods
• Empathy
• +4 more

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.