Find Academic Supervisors

Houra MahmoudzadehView profile

Associate Professor

• Operations Research
• Healthcare Management
• Radiation Therapy Optimization
• +3 more

Houra Mahmoudzadeh is an Associate Professor at the University of Waterloo, affiliated with groups such as Data Analytics, Applied Operations Research, and Healthcare. Her research focuses on optimization techniques applied to healthcare systems, particularly radiation therapy planning, robust decision-making under uncertainty, and pandemic-era staff scheduling. She specializes in developing advanced algorithms for IMRT treatment planning and addressing challenges in healthcare operations through mathematical modeling. Her work integrates robust optimization frameworks with clinical applications, emphasizing practical solutions for radiation therapy delivery, resource allocation in healthcare, and multi-objective decision-making. Key contributions include methodologies for inverse optimization in medical contexts, Pareto robust optimization strategies, and pandemic-specific staff scheduling models. Recent publications highlight innovations in dose-based constraint generation, light Pareto robust optimization, and effective budget of uncertainty formulations. Her research bridges theoretical operations research with real-world healthcare challenges, aiming to improve treatment efficacy and operational efficiency in medical settings.

Yanwu DingView profile

Associate Professor

• Signal Processing
• Satellite Communications
• Wireless Networks
• +3 more

Yanwu Ding is an Associate Professor in the Department of Electrical and Computer Engineering at Wichita State University's College of Engineering. His research focuses on signal processing, satellite communications, wireless networks, and electromagnetic interference mitigation. He holds a Ph.D. and has published extensively on topics such as Doppler-based localization, channel estimation, and interference detection in satellite and terrestrial systems. Research interests include optimizing satellite navigation systems, developing robust algorithms for EMI geolocation, and enhancing wireless network performance through advanced signal processing techniques. His work spans both theoretical contributions (e.g., Doppler signatures, Kalman filter applications) and practical applications (e.g., 5G channel modeling, RIS-aided systems). Recent publications emphasize satellite-borne localization, semi-passive RIS systems, and distributed antenna array optimizations. No awards or grants are explicitly listed, though his prolific output indicates significant scholarly contribution. No advising or student information is provided. His work contributes to improving satellite communication reliability, EMI detection capabilities, and next-generation wireless infrastructure design.

Chris KoskiView profile

Professor

• Policy Process Theory
• Climate Change Adaptation
• State Budgeting
• +2 more

Chris Koski is Daniel B. Greenberg Professor of Political Science and Environmental Studies at Reed College. His research investigates policy process dynamics, environmental governance, and energy policy design, with emphasis on climate adaptation, state-level regulatory innovation, and budgetary politics. Scholarship employs theoretical frameworks including punctuated equilibrium and social construction to analyze net metering policies, target population receptivity, and executive influence on fiscal decisions. Recent work explores geoengineering attitudes and policy responsiveness in subnational contexts. Recognized with the 2024 Theodore Lowi Award, he has authored influential texts on executive-interest group policy interactions and documentary approaches to American politics. Leads initiatives bridging political science and environmental studies pedagogy.

Javier BajoView profile

Professor

• Multi-Agent Systems
• Social Computing
• Ambient Intelligence
• +5 more

Javier Bajo is a Full Professor at the School of Computer Engineering, Polytechnic University of Madrid (UPM). He coordinates the Master's Degree in Artificial Intelligence at UPM and previously held roles as Associate Professor and Director of the Data Center at the Pontifical University of Salamanca (2003–2012). He earned a PhD in Computer Sciences (summa cum laude) from the University of Salamanca (2007), a Master’s in E-Commerce (2006), and degrees in Computer Systems Engineering (University of Valladolid, 2001) and Computer Science (Pontifical University of Salamanca, 2003). His research focuses on multi-agent systems, social computing, ambient intelligence, and AI ethics. He has led 11 research projects and contributed to over 50 others, with funding from EU, national, and regional entities. He has authored/co-authored over 300 publications, including 49 in JCR-indexed journals, and co-chaired 30+ international conferences (e.g., ACM SAC, IEEE FUSION). His work bridges theory and practice: developing multi-agent architectures for smart cities, optimizing traffic systems, and addressing algorithmic fairness. He also pioneers gamification in machine learning education and applies AI to healthcare diagnostics and infrastructure management. Key contributions include: Smart waste collection systems with LoRaWAN and route optimization Anti-feromone algorithms for urban rescue robotics Causal models for bias mitigation in AI Multi-sensor fusion for crop irrigation monitoring His educational innovations include challenge-based learning frameworks for computational biology and flipped classrooms for sustainability education.

• Data Management
• Database Systems
• Graph Data Management
• +4 more

Professor Chengfei Liu is a faculty member at Swinburne University of Technology, leading the Web and Data Engineering research group and serving as focus area leader for Knowledge and Data Intensive Systems in the SUCCESS Centre. His research focuses on web data management, advanced database systems, graph data, and workflow models. He has held academic positions at the University of South Australia, University of Technology Sydney, and the University of Queensland's DSTC. His work spans data management, distributed systems, and information systems, with notable contributions to cohesive subgraph discovery and efficient algorithms. Research interests include keyword queries, uncertain data, graph databases, and artifact-centric workflows. His awards include the Vice-Chancellor's Research Excellence Award (2007) and multiple best paper/demo awards at top conferences. Professor Liu supervises numerous PhD students and holds grants from the Australian Research Council (ARC), including projects on dynamic networks, heterogeneous graphs, and information resilience. He has authored over 297 publications, with recent work addressing topics like Bitcoin transaction prediction, federated subspace clustering, and multimodal eating disorder detection. His professional roles include program committee memberships at SIGMOD, ICDM, and CIKM, reflecting his influence in data science and database research.

Michele AlbanoView profile

Associate Professor

• Internet of Things (IoT)
• Energy Engineering
• Quality of Service (QoS)
• +5 more

Affiliations & Roles Michele Albano is an Associate Professor at the Department of Computer Science, Aalborg University, Denmark. He is affiliated with The Technical Faculty of IT and Design, focusing on research in IoT, Cyber-Physical Systems, and Edge Computing. He leads the Productive4.0 project (2017–2020), funded by Horizon Europe, addressing Industry 4.0 challenges in product lifecycle management. His work integrates formal verification tools like Uppaal with real-world applications in robotics, energy systems, and blockchain-based platforms. Research Interests Albano's research spans IoT architecture optimization , energy-efficient systems , and model-driven engineering . He develops tools for autonomous exploration algorithms (MAES), edge-cloud resource orchestration, and fault-tolerant computation offloading. His work bridges theoretical models (e.g., Uppaal SMC) with practical implementations in smart grids and robotic systems. Recent projects include blockchain-based crowdsourcing for machine learning and energy-aware thermal dynamics estimation in buildings. Collaborations & Impact He collaborates with the European Industry 6.0 community, contributing to the Arrowhead Framework for interoperable IoT systems. His research outputs include 112 publications, with 2025 highlights in human-inspired robotics and cognitive cloud frameworks. Media coverage in 2024–2025 highlights his work on green IT and secure API generation. Albano advises students on system modeling (e.g., ACSmt plugin development) and edge computing optimization. Labs & Teams His research group focuses on Cyber-Physical Systems and Smart Grids , with contributions to tools like RoutesMobilityModel and FlexHousing. He actively participates in workshops on New Trends in Software Architecture (SATrends '24) and IEEE conferences on Industrial Informatics.

Héctor Chinchero VillacisView profile

Assistant Professor

• Smart Buildings
• LED Lighting Systems
• IoT Applications
• +3 more

Héctor Chinchero Villacis is an Assistant Professor in the Department of Electronics at the University of Alcalá. His research focuses on smart lighting systems, IoT integration in buildings, and energy management solutions. He is a member of the GEINTRA research group, which specializes in Electronic Engineering applications for intelligent spaces and transport. Chinchero holds a PhD from the University of Oviedo (2021), where his thesis addressed LED driver development for smart buildings using controllable reactive elements. Education: PhD in Electronics Engineering, Universidad de Oviedo (2021) Research Interests: His work combines power electronics innovation with IoT technologies to enhance energy efficiency in smart infrastructure. Key areas include: Magnetic control of DC-DC converters for LED applications Energy management systems for public lighting and microgrids IoT-based precision agriculture and home energy monitoring Human-centered lighting parameters for wellbeing optimization Recent Contributions: Recent publications highlight advancements in low-cost emergency lighting solutions, magnetic control techniques for power electronics, and distributed energy systems for Amazonian regions in Ecuador. His work bridges theoretical power electronics with practical smart infrastructure implementations. Labs/Teams: Active contributor to the GEINTRA research group, focusing on applied electronic engineering innovations for smart environments.

Dan PellathyView profile

Assistant Professor

• Supply Chain Management
• Enterprise Risk Management
• Organizational Alignment
• +3 more

Dan Pellathy is an Assistant Professor of Practice and Director of Operations at the University of Tennessee, Knoxville's Haslam College of Business, specifically within the Supply Chain Management department. He actively contributes to academia and industry through consulting and research in strategic supply chain planning, organizational alignment, and end-to-end operational excellence. His research interests focus on integrating supply chain strategy and organizational design to create sustainable business success. His work has been published in leading journals such as the Journal of Business Logistics and the International Journal of Physical Distribution & Logistics Management, and he frequently writes for practitioner outlets like Supply Chain Quarterly and the Wall Street Journal. Dan Pellathy’s recent academic publications explore topics like supply chain agility, cross-functional integration, and circular economy practices. His articles emphasize developing next-generation planners, enhancing organizational alignment, and addressing cyber risks in global supply chains. These works collectively highlight his commitment to advancing supply chain innovation and operational resilience. His educational background includes a Ph.D. in Supply Chain Management from the University of Tennessee, an MBA/MPA from the University of Pittsburgh, and a BA in Anthropology and Philosophy from Cornell University.

Carlo GaetanView profile

Professor

• Environmental Statistics
• Spatial Statistics
• Extreme Value Theory
• +3 more

Carlo Gaetan is a Full Professor at the Department of Environmental Sciences, Informatics and Statistics at Ca' Foscari University of Venice. His research focuses on statistical modeling for environmental applications, including extremes in climate data, spatial-temporal analysis, and environmental risk assessment. He contributes to editorial roles, such as Associate Editor of the Journal of the Royal Statistical Society, Series C. His work spans environmental statistics, spatial modeling, and applications in climate change and health. Gaetan is actively involved in projects like the Venice 2021 climate scenario initiative and collaborates on studies assessing air pollution impacts and disease modeling. His teaching includes office hours for students, emphasizing accessibility and academic guidance.

• Organizational Behavior
• Workforce Dynamics
• Labor Economics
• +3 more

Ignacio Serrano Rasero is an Associate Professor at the Department of People Management and Organisation within Esade Business School (Esade). His research focuses on organizational behavior, workforce dynamics, labor economics, and digital transformation within management contexts. He has authored/co-authored multiple peer-reviewed articles in journals like Harvard Deusto Business Review and Revista de Fomento Social, exploring topics ranging from generational shifts in corporate culture to the integration of artificial intelligence in workplaces. Key research areas include analyzing paradoxes in organizational decision-making, adapting to new management scenarios, and leveraging talent for digital transformation. His work often addresses emerging trends such as remote work paradigms, long-term employment strategies, and the psychological dimensions of workplace interactions. Publications span 2008–2025, reflecting sustained contributions to understanding modern organizational challenges. No scientific awards are explicitly mentioned, but his research demonstrates engagement with contemporary issues like asymmetric information in labor markets and portfolio diversification strategies. His advising and grant activities are not detailed in the provided text.

Jon Helgheim HolteView profile

Associate Professor

• Healthcare Economics
• Health Policy Analysis
• Public Health
• +3 more

Jon Helgheim Holte is an Associate Professor in the Department of Health Management and Health Economics at the University of Oslo. His work focuses on healthcare economics, policy analysis, and chronic disease management. He has conducted extensive research on healthcare utilization patterns, cost drivers in chronic conditions, and physician workforce dynamics. His recent projects include the INOREG initiative analyzing care pathways using registry data. Holte holds an affiliation with the Institute of Education (as a student, though specific details are unclear). Research interests include: healthcare resource allocation, policy impacts on provider behavior, socioeconomic determinants of healthcare use, and registry-based methodologies. His studies often combine epidemiological approaches with economic modeling to address public health challenges. Publications highlight analysis of COPD care pathways, musculoskeletal disorder economics, and physician preference modeling. Articles consistently emphasize translational research with clear policy implications. No academic awards are listed, though his work demonstrates strong methodological rigor. Advising/grants sections remain unspecified in available texts. Collaboration with cross-disciplinary teams is evident through co-authorship patterns.

• Health Professions Education
• Medical Education
• Public Health
• +12 more

Professor Gary Rogers is a distinguished academic leader and clinician, serving as Professor and Dean of Medicine at Deakin University’s Faculty of Health since June 2020. He previously held the position of Professor of Medical Education and Deputy Head of School (Learning & Teaching) at Griffith University, where he continues to hold an adjunct professorship. His career spans clinical practice in HIV medicine, public health research, and transformative work in health professions education. Medical Degree, University of Adelaide, 1984 Master of General Practice Psychiatry, Monash University PhD in Public Health, focusing on health inequity in LGBTQIA+ communities Professor Rogers’ research is centered on affective learning—the development of professional and interprofessional values among health students—and on strategies to widen access to health professional education. His work integrates interprofessional education, simulation-based learning, gamification, and rural medical training, with a strong emphasis on equity and community engagement. He has led significant initiatives in primary healthcare for sexuality-diverse youth and farmer health. His recent publications reflect a consistent focus on innovative educational models, particularly longitudinal integrated clerkships, gamified simulations in pharmacy and dietetics, and the impact of affective learning on professional identity. Themes of rural workforce development, interprofessional collaboration, and curriculum evaluation are prominent across his scholarly output. 2020: Honorary Life Membership, Australian and New Zealand Association for Health Professional Educators (ANZAHPE) 2017: Principal Fellow, Higher Education Academy 2012: Griffith Award and Medal for Excellence in Teaching 2011: SimHealth Conference Best Abstract Award 2002: NHMRC Public Health Scholarship Multiple teaching excellence awards from Griffith University and the School of Medicine graduating classes Early career recognition including the Peter Meese Award and Ruth Heighway Medal Professor Rogers actively supervises doctoral and master’s students in areas such as end-of-life communication and rural medical training. He leads major research grants funded by the Department of Health and Western District Health Service, including a $2M MRFF grant on safe spaces for sexuality-diverse youth. He has held leadership roles in ANZAHPE and AMEE, contributing to the national and international advancement of health professions education. He is affiliated with Deakin University’s Office of the Executive Dean Health and contributes to national initiatives in medical education and rural health. His work bridges clinical practice, educational innovation, and public health advocacy.

• Network Science
• Information-Centric Networking (ICN)
• Urban and Transportation Networks
• +7 more

Wei Koong Chai is a Senior Lecturer in the Department of Computing and Informatics at Bournemouth University and Deputy Head of Department at University College London (UCL), also within the Department of Computing and Informatics. He has held these academic positions since 2016 and 2024 respectively, demonstrating sustained contributions to higher education and research leadership. His research focuses on network science, information-centric networking (ICN), urban and transportation networks, smart grids, and resilience in complex systems. Key areas include traffic congestion modeling using SIR epidemic models, robustness assessment of urban road networks, deep learning for traffic prediction, and content delivery resilience in distributed caching systems. His work bridges theoretical network models with practical applications in smart cities and critical infrastructure. The recent publications (2021–2025) highlight a strong trajectory in applying network analytics, machine learning, and distributed systems to urban mobility and cyber-physical systems. Themes include spatio-temporal prediction, multi-scale topological analysis, and adaptive communication in flying ad hoc networks. His collaborations span institutions and disciplines, indicating interdisciplinary engagement. Scientific Awards: No scientific awards listed in the provided text. Wei Koong Chai has advised students and researchers in computing and network systems, though specific names are not listed. He has contributed to peer review, notably for PLOS Complex Systems , and is involved in impactful research projects related to smart grids, urban analytics, and information resilience. His work has been supported through institutional affiliations and collaborative grants, though specific funding sources are not detailed. He is associated with research labs and teams focused on network science, smart cities, and information-centric systems at both Bournemouth University and UCL. His future work likely extends into AI-driven urban infrastructure optimization, resilient IoT networks, and next-generation content delivery architectures.

Wim CasteelsView profile

Lecturer

• Data Science
• Machine Learning
• Artificial Intelligence
• +4 more

Wim Casteels is a Lecturer and researcher at AP University College, specializing in AI and data science. He transitioned from quantum physics research at the University of Antwerp and Paris to roles in data science at Argenta's Data Analytics Office and imec's IDLab research group. His work focuses on applying AI to education, transportation, and environmental monitoring. He leads projects like AI4UX (user pattern detection), LAP! (learning analytics dashboards), and AI4Care (AI for youth care support). Education: PhD in Physics (University of Antwerp), followed by postdoctoral research on quantum systems in Antwerp and Paris. Transitioned to data science roles in industry and academia. Research Interests: Machine Learning, Deep Learning, Learning Analytics, and AI applications in education and transportation. Projects include developing AI-driven road weather models using vehicle sensor data, predictive student success models, and energy-efficient building control systems. His work emphasizes ethical AI implementation and data-driven decision-making. Key Projects: AI4UX (2023–2025), AHUMAIN (2023–2025), LAP! (2019–2023), and AI4Care (2024–2026). His research is supported by grants like the Industrial Research Fund. Labs/Teams: Part of AP University College's Media, Design and IT Knowledge Center, previously affiliated with imec's IDLab group and Argenta's Data Analytics Office.

Masoud DaneshtalabView profile

Professor

• Deep Learning Acceleration
• Hardware/Software Co-Design
• Interconnection Networks
• +7 more

Masoud Daneshtalab is a Professor at Mälardalen University, leading the Heterogeneous System research group (HERO). He previously held roles as a European Marie Curie Fellow at KTH Royal Institute of Technology (2014) and as a university lecturer and group leader at the University of Turku, Finland (2012-2014). His research focuses on interconnection networks, hardware/software co-design, deep learning acceleration, and evolutionary optimization. He specializes in fault-tolerant DNN accelerators, time-sensitive networking (TSN), and embedded systems. His work bridges theoretical advancements with practical implementations, emphasizing reliability and efficiency in edge computing and AI applications. Research interests include: Network-on-Chip (NoC) architectures and congestion prediction Fault resilience in deep neural networks (DNNs) Optimization of federated learning and homomorphic encryption for edge AI Integration of TSN with 5G and automotive systems Hardware acceleration techniques for computational efficiency Recent publications emphasize advancements in robust AI architectures, fault tolerance mechanisms, and TSN-based communication protocols. His work often addresses practical challenges in deploying machine learning models on resource-constrained devices. He actively contributes to interdisciplinary projects in autonomous systems, healthcare monitoring via FMCW radar, and neural architecture search for embedded applications. Labs/Teams: Leads the HERO group at Mälardalen University, focusing on heterogeneous computing systems and real-time embedded systems.