جست‌وجوی استاد و پژوهشگر

Davood Shiriمشاهده پروفایل

مدرس

• Online and stochastic optimization
• Large-scale optimization
• Graph and network models
• +۳ مورد دیگر

Dr Davood Shiri is a Lecturer in Operations Management and Decision Sciences at the Sheffield University Management School, University of Sheffield. His research focuses on online and stochastic optimization, large-scale optimization, graph/network models, healthcare/humanitarian logistics, and combinatorial optimization. He holds a PhD in Industrial Engineering and Operations Management from Koç University, Turkey, and has prior roles as an Assistant Professor at Medipol University and Bilgi University, and a postdoctoral research fellow at Koç University. Education: BSc and MSc in Industrial Engineering from Sharif University of Technology (Iran), PhD in Industrial Engineering and Operations Management from Koç University (Turkey). His teaching includes modules like MGT3010 (Applications of Operations & Supply Chain Management) and MGT137 (Analysis for Decision Making). Research interests emphasize optimization frameworks for dynamic environments, with applications in disaster response logistics, healthcare systems, and network resilience. His publications address challenges in ambulance routing during disasters, post-disaster road restoration, and algorithmic strategies for interdependent networks. Awards/Grants: No specific awards mentioned in available texts, though his work reflects competitive research funding in operations research domains. Labs/Teams: Active in the Operations Management and Decision Sciences research group at Sheffield Management School, contributing to Triple Crown-accredited programs.

• Bayesian statistics
• Hierarchical modeling
• Image analysis for super-resolution microscopy
• +۴ مورد دیگر

Dr. Miguel Juarez is a Lecturer in Statistics at the University of Sheffield's School of Mathematical and Physical Sciences. He holds a PhD in Mathematical Sciences from Universidad de Valencia (2004), an MSc in Economics from CIDE (Mexico), and a BSc in Actuarial Sciences from ITAM (Mexico). His research focuses on Bayesian hierarchical modeling for panel/longitudinal data with applications in biology, medicine, and econometrics. Key projects include the STriTuVaD initiative for integrating computer simulations with clinical trials and developing models for super-resolution microscopy image analysis. He has contributed to advancing in silico trial methodologies through the UISS-TB simulator and works on objective Bayesian methods for non-Gaussian data. Professional activities include teaching MAS2010 Statistical Inference and Modelling. His recent work emphasizes accelerating tuberculosis vaccine development via augmented clinical trials and establishing credibility frameworks for in silico trials. He collaborates with interdisciplinary teams in systems biology and biomedical informatics. Research outputs span Bayesian statistical theory, computational epidemiology, and medical technology innovation. Notable collaborations include the Warwick Systems Biology Centre and EU-funded H2020 projects.

Suruz Miahمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Optimal Control and Estimation
• Multi-Agent Systems
• +۳ مورد دیگر

Suruz Miah is an Associate Professor in the Department of Electrical and Computer Engineering at Bradley University and an Adjunct Professor at the University of Ottawa's School of Electrical Engineering and Computer Science. He holds a B.Sc. from Khulna University of Engineering & Technology (Bangladesh) and M.A.Sc./Ph.D. degrees from the University of Ottawa. His research focuses on Cyber-Physical Systems, Optimal Control, Multi-Agent Systems, and RFID Technology. He has held roles including Visiting Associate Professor at Hosei University (Japan), Visiting Research Fellow at DRDC Canada, and Part-Time Professorships at multiple institutions. Education: B.Sc., Computer Science and Engineering, Khulna University of Engineering & Technology (2004) M.A.Sc. and Ph.D., Electrical and Computer Engineering, University of Ottawa (2007, 2012) Research Interests: Dr. Miah specializes in Cyber-Physical Systems, including autonomous robotics, multi-agent coordination, optimal control, and machine learning applications. He leads projects on mobile robot navigation, energy management systems, and RFID-based localization. His work bridges theoretical control systems with practical implementations in robotics and industrial automation. Advising & Collaborations: Advised/co-authored over 20+ student research projects, focusing on reinforcement learning, multi-agent systems, and robotics. Collaborates with institutions like DRDC Canada, Bradley University's Cyber-Physical Systems Lab, and University of Ottawa's MIRaM Lab. Developed open-source frameworks like MAFOSS (Multi-Agent Framework using Open-Source Software) and BEMOSS (Building Energy Management System). Labs & Teams: Principal Investigator at Bradley's Cyber-Physical Systems Lab. Research member of the Machine Intelligence, Robotics, and Mechatronics (MIRaM) Lab at the University of Ottawa.

• Spatial Planning
• Digitalization in Urban Governance
• Collaborative Planning
• +۹ مورد دیگر

Dr. Yanliu Lin is an Associate Professor in Spatial Planning and Digitalization at Utrecht University's Department of Human Geography and Spatial Planning. His research focuses on digital planning technologies, urban governance, and collaborative planning processes, particularly in China and the Netherlands. He leads an ERC-funded team exploring social media's role in collaborative planning and co-leads an AI-driven Digital Twin Platform project with partners from TU Eindhoven and Wageningen University. Key research areas include: Planning Support Systems and Smart Urban Governance Social Media's Impact on Public Participation Digital Twin Applications for Sustainable Development Migration and Urban Integration Ethical Dimensions of AI in Urban Planning His 60+ publications appear in top journals like Computers, Environment and Urban Systems and Urban Studies . He edited two books on smart governance and co-organized major conferences like the 2025 CUPUM workshop on Digital Planning. Awards include an ERC Starting Grant (2021-2026) for collaborative planning research. Professional Contributions: Serves on editorial boards for Planning Practice & Research and Urban Governance , reviews for 40+ ISI journals, and advises the Swiss National Science Foundation.

Emma Norlingمشاهده پروفایل

استاد

• Agent-Based Modelling
• Social Simulation
• Cognitive Modelling
• +۳ مورد دیگر

Professor Emma Norling is a Professor of Engineering Education and Director of Education in the School of Computer Science at the University of Sheffield. She holds a BEng (Hons) from the University of Melbourne and a PhD in Computer Science from the University of Sheffield. Her career includes postdoctoral work at Manchester Metropolitan University's Centre for Policy Modelling and a lecturing role at its School of Mathematics, Computing and Digital Technology. Her research focuses on agent-based systems, particularly cognitive and social simulations, with an emphasis on integrating social intelligence into computational models. She leads the Teaching Specialists group and oversees accreditation and professional institution relations. Key roles include directing educational strategy and promoting pedagogical innovation in engineering and computing education. Her publications highlight contributions to agent-based modelling methodologies, emergency response systems, and social simulation frameworks. Notable works include studies on food web evolution, morphogenetic network growth for emergency teams, and the application of BDI agents in human behavior modelling. She actively engages with interdisciplinary approaches, bridging computer science with education and social sciences. Professional service includes leading educational accreditation efforts and fostering collaboration between academia and industry. She is a sought-after expert in computational models of human behavior and their implications for educational technology and societal systems.

• Statistical Mechanics
• Dynamical Systems
• Percolation Theory
• +۵ مورد دیگر

Peter Grassberger is a Visiting Research Professor at the Department of Physics and Astronomy, University of Calgary, Canada. His academic journey includes professorships at institutions such as the University of Wuppertal (1977–2005) and the John-von-Neumann Institute in Jülich (1996–2005). He holds a Dr. Phil. from the University of Vienna (1965) and a Habilitation from Bonn University (1973). His research spans statistical physics, nonlinear dynamics, and complex systems. Key contributions include work on strange attractors, percolation theory, and computational methods like the PERM algorithm for polymer systems. He is renowned for foundational papers on estimating attractor dimensions and for pioneering studies in directed percolation and self-organized criticality. Grassberger's awards include being a Highly Cited Researcher with over 13,000 citations. His work bridges theoretical physics and applications, such as medical diagnostics and earthquake prediction. He has advised numerous students and holds editorial roles in journals like Journal of Physics A and Complexity .

Rouhi Radمشاهده پروفایل

استادیار

• Environmental and Natural Resource Economics
• Water Resources Economics

Rouhi Rad is an Assistant Professor at Texas A&M University's College of Agriculture and Life Sciences, specializing in Environmental and Natural Resource Economics with a focus on Water Resources Economics. Their work addresses agricultural sustainability, climate policy, and water governance. They hold a PhD from the University of Illinois Urbana-Champaign (2017), an MS from New Mexico State University (2012), and an undergraduate degree in Civil Engineering from Sharif University of Technology (2010). Research interests include groundwater management, climate adaptation strategies, and policy evaluations for agricultural systems. Key areas of inquiry involve the intersection of environmental economics with real-world challenges like wildfire impacts, salinity management, and stakeholder-driven water planning. Publications emphasize integrated modeling approaches to quantify economic and environmental outcomes of water policies. Recent studies explore stakeholder-driven governance frameworks, the economic impacts of climatic shocks on rural electricity, and the role of subsidies in groundwater conservation. Collaborative work with institutions like Colorado State University highlights interdisciplinary approaches to sustainable resource management. No scientific awards are explicitly listed in the provided materials.

Cathy McLellanمشاهده پروفایل

دانشیار

• Interventional Cardiology
• Cardiac Program Management
• Medical Education
• +۳ مورد دیگر

Cathy McLellan is an Associate Professor and Interim Division Chair of Cardiology at Queen’s University, a role she has held since December 2024. She joined the Queen’s Cardiology Division in 2003 and served as Chair from 2017 to 2022. Dr. McLellan is also an interventional cardiologist at Kingston General Hospital, where she leads clinical roles in Percutaneous Coronary Interventions and Cardiac Program Medical Direction (2017–2020). Her work focuses on expanding regional cardiac care programs, such as the Southeastern Ontario Regional MI program, and overseeing postgraduate training in cardiology. Her expertise spans clinical cardiology, healthcare leadership, and medical education. She has held key administrative roles, including directing the Cardiology residency program and contributing to institutional governance through divisional leadership positions. While no specific awards are listed, her contributions to clinical practice and education are central to her professional profile. Dr. McLellan’s current focus includes advancing cardiac care protocols and maintaining operational excellence in hospital-based cardiology services. No formal research grants or student advisement details are provided in the text, though her administrative roles suggest involvement in training future clinicians.

Kevin Floresمشاهده پروفایل

دانشیار

• Mathematical Biology
• Precision Medicine
• Environmental Toxicology
• +۴ مورد دیگر

Kevin Flores is an Associate Professor in the Department of Mathematics at North Carolina State University (NC State), and Director of the Biomathematics Graduate Program. He leads the Flores Lab, focusing on developing mathematical and statistical methods for parameter estimation, uncertainty quantification, and forecasting in Precision Medicine, Environmental Toxicology, and Synthetic Biology. His work bridges computational approaches with biological systems analysis. Dr. Flores earned his PhD in 2009 from Arizona State University. His research groups include the Mathematical Biology cluster within the Department of Mathematics. His affiliations include Cox Hall 406D and the College of Sciences at NC State. Research interests emphasize interdisciplinary applications: (1) Mathematical Biology involving tumor heterogeneity, viral dynamics, and angiogenesis modeling; (2) Biostatistics focusing on parameter estimation in complex systems; and (3) Computational Tools for biomedical image analysis and machine learning in healthcare. His lab pioneered methods like biologically-informed neural networks and topological data analysis for biological systems. Recent work highlights include: (1) tumor spheroid modeling predicting clinical variability; (2) BK virus infection dynamics in transplant patients; (3) EEG-based brain-computer interface improvements using GANs; and (4) few-shot learning for plant phenotyping. His methodologies address challenges in sparse data scenarios and integrate mechanistic understanding with data-driven approaches. Awards and recognition : None explicitly listed in provided texts. Advising and grants: No specific advisees or grant details provided in texts. His lab's software tools support image segmentation and population modeling. Labs/teams: Directs the Flores Lab for Mathematical Biology at NC State, specializing in hybrid computational-experimental approaches. Collaborates across departments in biomathematics and engineering.

Augusto Gerolinمشاهده پروفایل

استادیار

• Optimal Transport Theory
• Mathematical Physics
• Theoretical and Computational Chemistry
• +۴ مورد دیگر

Augusto Gerolin is an Assistant Professor jointly appointed in the Departments of Mathematics and Statistics and Chemistry and Biomolecular Sciences at the University of Ottawa. He holds a Tier II Canada Research Chair in Artificial Intelligence at the Interface of Chemistry and Mathematics. His research focuses on Optimal Transport Theory, Mathematical Physics, Theoretical and Computational Chemistry, and Machine Learning. Gerolin’s work bridges quantum chemistry, mathematical analysis, and computational methods, with applications in Density Functional Theory and quantum information science. He obtained his PhD from the University of Pisa and was a Marie Skłodowska-Curie fellow at Vrije Universiteit Amsterdam. He is a member of the European Laboratory for Learning and Intelligent Systems (ELLIS) and leads a research group exploring AI-driven solutions in chemistry and mathematics. His current projects include developing optimal transport frameworks for quantum systems, advancing machine learning algorithms in scientific computing, and fostering collaborations across disciplines through initiatives like the OQMG Network. Gerolin’s research has led to advancements in multi-marginal optimal transport, entropy-regularized methods, and the strong-interaction limit of density functional theory. His group actively collaborates with institutions worldwide, including the Fields Institute, IPAM, and the University of Genoa. He has supervised numerous PhD, Master’s, and undergraduate students, many of whom have contributed to cutting-edge studies in computational chemistry, quantum algorithms, and mathematical analysis. Key awards include the Canada Research Chair designation, and his work has been supported by grants from NSERC, MITACS, and the University of Ottawa. Gerolin is also committed to diversity in science, endorsing principles such as the Diversity Axioms, and advocates for academic solidarity with researchers affected by global conflicts.

Liping Fangمشاهده پروفایل

استاد

• Industrial Engineering
• Systems Engineering
• Engineering Management
• +۷ مورد دیگر

Liping Fang is a Professor in the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. His work bridges engineering, decision science, and public policy, focusing on equitable resource allocation and conflict resolution in complex systems. BEng, Tianjin University (1982) MASc, University of Waterloo (1985) PhD, University of Waterloo (1989) Dr. Fang's research centers on industrial and systems engineering , with a strong emphasis on conflict resolution , decision support systems , and environmental and water resources management . He employs agent-based modeling and simulation to understand stakeholder behavior and develop strategies for sustainable and fair outcomes. His work often involves interdisciplinary collaboration, especially in environmental policy and energy systems. His recent publications demonstrate a consistent focus on modeling complex decision environments, particularly in water management and energy systems, using advanced analytical frameworks like the Graph Model for Conflict Resolution and multi-participant decision support tools. These works span disciplines including systems engineering, environmental sustainability, and operations research. Scientific Awards and Honors: Fellow, Canadian Academy of Engineering (2016) Fellow, Institute of Electrical and Electronics Engineers (2018) INFORMS ENRE Best Publication Award in Environment and Sustainability (2012) Errol Aspevig Award for Outstanding Academic Leadership (2014) Dr. Fang has served as Associate Dean of Undergraduate Programs and Student Affairs, where his expertise in decision-making has guided academic policy and student appeals. He has supervised graduate students and is actively engaged in research funding and academic service. He holds editorial roles in top journals including Group Decision and Negotiation and IEEE Transactions on Systems, Man, and Cybernetics: Systems , and serves on evaluation committees for NSERC and IEEE. He is a key member of research teams working on sustainable resource management and decision support technologies. His lab or research group focuses on agent-based simulation and conflict modeling, collaborating with institutions and stakeholders in water and environmental policy domains.

• Cardiac Surgery
• Thoracic Surgery
• Surgical Education
• +۵ مورد دیگر

Professor Julian Smith is the Head of the Department of Surgery and Deputy Head of the School of Clinical Sciences at Monash Health, as well as Head of Cardiothoracic Surgery at Monash Health. He graduated from the University of Melbourne in 1981 and completed advanced training in cardiothoracic surgery, including roles at Stanford University and Papworth Hospital. His expertise spans cardiac and thoracic surgery, surgical education, and organ transplantation. He leads major clinical trials and research projects, such as the CALIPSO trial on antimicrobial prophylaxis and the EASY AS trial for aortic stenosis management. Awards include the Australian Clinical Trials Alliance Trail of the Year and Fellowship of the National Heart Foundation. His research focuses on surgical innovation, including minimally invasive techniques and robotic surgery, alongside clinical outcomes and patient safety. Education: MBBS from the University of Melbourne (1981), Master of Surgery (Melbourne), FRACS in General and Cardiothoracic Surgery, and a Master of Surgical Education (Melbourne). Leadership roles include Editor-in-Chief of the ANZ Journal of Surgery and membership in the American College of Surgeons Council. Projects include investigating LVAD therapy, surgical databases, and perioperative renal injury reduction (APRIORI). Research Interests: Cardiac surgery techniques, surgical education, lung volume reduction, and renal impairment management. Over 491 publications and 25 active or completed projects reflect his contributions to advancing surgical practice and patient care.

Frank van der Hoevenمشاهده پروفایل

استاد پژوهشی

• Urban Design
• Urban Underground Space
• Sustainable Mobility
• +۷ مورد دیگر

Frank van der Hoeven is Director of Research at the Faculty of Architecture and the Built Environment and Open Science programme manager at TU Delft. He specializes in urban underground space, climate adaptation, and multi-functional land use. His work addresses sustainable mobility, high-rise development, and urban heat island mitigation. Research focuses on Dutch urban challenges including heritage conservation, remote sensing applications, and creative industry policy. He serves on boards of the Dutch Tall Building Council and Royal Netherlands Archaeological Society (KNOB). Key contributions include methodologies for urban heat mapping (e.g., Rotterdam/Hague studies) and frameworks for railway station area design evaluation using agent-based simulations. Over 145 research outputs include books, journal articles, and datasets on urban climate resilience. Active in academic governance, he oversees open access policies and collaborates internationally on sustainability initiatives. Media engagements discuss urban heat adaptation and Dutch spatial planning strategies.

Aloys Borgersمشاهده پروفایل

دانشیار

• Urban Planning
• Urban Modeling
• Residential Preferences
• +۵ مورد دیگر

Aloys Borgers is an Associate Professor of urban planning at Eindhoven University of Technology (TU/e), specializing in modeling individual preferences and behavior in urban contexts. He focuses on how societal/technological trends like smart cities and ICT influence residential choices, shopping behavior, and pedestrian dynamics. His work integrates predictive modeling with real-world urban challenges. He holds an MSc in Urban Planning from TU/e and has contributed significantly to educational reforms in the Urban Systems and Real Estate programs. In 2017, he received the 'Best Bachelor Tutor' award from the Department of Built Environment. His research spans hybrid work environments, immersive VR applications in urban design, driver compliance with smart parking systems, flood-resilient 3D city models, and human-centric computational design methods. He actively reviews for journals in consumer behavior, retailing, transportation, and land use modeling. Borgers serves on the editorial boards of the Journal of Retailing and Consumer Services and the International Journal of Culture, Tourism and Hospitality Research . He has supervised PhD candidates and contributed to doctoral committees, fostering academic mentorship.

• Network Security
• Telecommunications
• Multi-Agent Systems
• +۴ مورد دیگر

Enrique de la Hoz de la Hoz is an Associate Professor at the Department of Automática, University of Alcalá, Spain. His research focuses on Network Security, Telecommunications, and Multi-Agent Systems. He holds a PhD from the University of Alcalá (2017), with a thesis on consensus policy applications in complex negotiations. His work spans Wi-Fi channel optimization, IoT security frameworks, and critical infrastructure resilience using graph theory and multi-agent negotiation techniques. He leads the NetIS research group (Networks and Intelligent Systems), addressing challenges in network resource allocation and secure communication protocols. Key research areas include: Application of graph coloring to Wi-Fi channel assignment and network resilience Multi-Agent systems for distributed decision-making in smart environments Cybersecurity for IoT and critical infrastructure protection Optimization of traffic light systems using intelligent agent coordination His recent work emphasizes reactive resilience mechanisms (e.g., REACT framework) and surgical immunization strategies against network attacks. He has contributed to standards like SDN-based secure routing and access control models for IoT environments. His research methodologies combine theoretical graph theory with practical implementations in real-world network scenarios.