جست‌وجوی استاد و پژوهشگر

Susan Howickمشاهده پروفایل

استاد

• System Dynamics Modelling
• Operational Research
• Management Science
• +۱۰ مورد دیگر

Susan Howick is a Professor of Management Science and Vice-Dean (Academic) at Strathclyde Business School, University of Strathclyde. Her academic leadership and research are centered on system dynamics and decision support modelling, with applications in healthcare, energy, and public policy. Research Interests: System dynamics and hybrid modelling (SD & ABM) Integration of multiple modelling methods for decision support Disruption and delay analysis in complex projects Systemic risk evaluation in engineered and social systems Client-oriented modelling processes The recent publications show a strong trend towards interdisciplinary applications, particularly in health systems and Arctic search and rescue, often involving community-driven and culturally sensitive models. Her work increasingly combines Bayesian networks with system dynamics to support decision-making in uncertain, high-stakes environments. Scientific Awards: Operational Research Society Goodeve Medal (2001) EURO Prize for OR for the Common Good Finalist (2022) European Journal of Operational Research Editor's Choice Award (2021) Best Paper Award at 17th International Conference on Group Decision and Negotiation (2017) Elected to General Council of the OR Society (2018) Susan has supervised PhD students and served as co-investigator and principal investigator on multiple research projects, including those funded by EPSRC and GCRF. She has also delivered executive training for organizations such as Bombardier, PwC, and the Scottish Government, demonstrating strong industry engagement. Labs and Research Teams: She is actively involved in research groups focused on system dynamics, risk modelling, and decision support, collaborating with teams in healthcare (e.g., SSM - Health Systems), Arctic resilience (Nunavut Search and Rescue Project), and hybrid simulation. She contributes to the academic community through editorial roles in European Journal of Operational Research and System Dynamics Review .

• Applied Health Psychology
• Lifestyle Behavior Change
• Psychosocial Interventions for Long-Term and Chronic Conditions
• +۳ مورد دیگر

Professor Jaynie Rance is a Professor of Health Psychology at Swansea University's School of Psychology, serving as Director of Postgraduate Research and academic leader for the School's PGR Academy. She holds Chartered Psychologist (C.Psychol) status and is HCPC-registered in Health Psychology. Her research focuses on Applied Health Psychology, Lifestyle Behavior Change, and Psychosocial Interventions for chronic conditions, emphasizing Realist Evaluation methods for complex interventions. She has led evaluations of healthcare services and interventions across Wales and internationally. Research Interests: Psychosocial interventions for long-term conditions Health behavior change strategies Realist evaluation of complex interventions Health services research Grants & Projects: Welsh Government: Process Evaluation of Winter Pressure Themes (£10k, 2020) Kidney Wales Foundation: Chronic Kidney Disease Intervention (£30k, 2018) Realist Evaluation of Gellinudd Recovery Centre (£30k, 2016) MRC-funded Active Children Through Incentive Vouchers (£50.8k, 2012) Teaching Roles: Module Lead for PS-M006 (Health & Wellbeing Psychology) Work Placement Module (PSY311) Chronic Illness Psychology (SHVM42) Supervision & Mentoring: Currently supervising PhD projects on parental burnout prevention, health visiting stress, and pandemic impact on ambulance staff wellbeing. Past students include work on CTS management and maternal health in Saudi Arabia.

• Lean Manufacturing
• Life-Cycle Costing
• Risk Management
• +۷ مورد دیگر

Jan Emblemsvåg is a Professor at NTNU’s Department of Ocean Space Operations and Civil Engineering in Ålesund, Norway. He has held senior industry roles including Shipyard Director at Vard, SVP Ship Design & Systems at Rolls-Royce Marine, and Managing Director at Midsund Bruk. His academic positions span BI Norwegian Business School, Ålesund University College, and NTNU since 2006. Emblemsvåg’s expertise bridges engineering and management, focusing on sustainable development through rigorous analytical frameworks. Education: PhD from Georgia Institute of Technology (1999), MSc (1995), and Civil Engineering degree from Norwegian Institute of Technology (1994). R&D focuses on six core areas: 1) Product/process development with Lean methodologies, 2) Life-Cycle Costing/Analyses (integrating cost, environmental, and social dimensions), 3) Risk management and uncertainty analysis using Monte Carlo methods, 4) Operations/General management under Lean principles, 5) Project management with Lean integration, and 6) Renewable energy (especially nuclear power’s role in maritime and industrial sectors). Publications emphasize energy policy critiques, nuclear propulsion feasibility, and sustainable shipping. Recent work highlights nuclear energy’s potential as a cost-effective, low-emission solution for maritime transport and industrial needs. Active in policy debates advocating evidence-based energy strategies. Labs/Teams: Leads NTNU’s research initiatives on nuclear propulsion for merchant ships (NuProShip project) and collaborates internationally on maritime safety and evacuation modeling.

Geoffrey Loveمشاهده پروفایل

دانشیار

• Organizational Innovation
• Corporate Reputation
• Strategic Management
• +۴ مورد دیگر

E. Geoffrey Love is an Associate Professor of Business Administration at the University of Illinois at Urbana-Champaign, part of the Gies College of Business. He serves as Academic Co-Director of the Hoeft Technology and Management Program and Academic Director of the Carle Executive Education Program. With a PhD in Organizational Behavior from Harvard University (1997) and an AB in Applied Mathematics (1982), Love specializes in organizational innovation, corporate reputation, and institutional change. His research explores how firms navigate social evaluations, strategic innovation, and leadership dynamics. Education: PhD in Organizational Behavior (Harvard, 1997); AB in Applied Mathematics (Harvard, 1982) Positions: Academic Co-Director, Hoeft T&M Program (2024–present); Associate Professor (2016–present); Assistant Professor (2009–2016) Love's research interests span organizational design, leadership, and the impact of CEOs on corporate reputation. His work integrates institutional theory, strategic management, and behavioral insights. Notable studies include the dynamics of corporate reputation following downsizing, CEO succession, and the role of chief innovation officers. His recent articles highlight attention-based strategic leadership and innovation ecosystems across G-20 nations. Awards: Dean’s Impact Award (2022), Excellence in Graduate Teaching Award (2022) Love advises on multi-functional leadership and innovation strategy, emphasizing interdisciplinary education through programs like Hoeft T&M. His grants include funding for 'Attentional Control and Organizational Intelligence' (2024–2026). He teaches courses on strategic innovation, organizational behavior, and entrepreneurial management, leveraging over two decades of academic and industry insights.

• Distributed control
• Autonomy and Control
• Aerospace Systems
• +۶ مورد دیگر

Dengfeng Sun is a Professor and Associate Head of the Gambaro Graduate Program in the School of Aeronautics and Astronautics at Purdue University. His research focuses on distributed control systems, autonomy, resilient networks, and air traffic management. Sun holds a B.Eng. from Tsinghua University, an M.S. from The Ohio State University, and a Ph.D. from UC Berkeley. His work spans advanced air mobility, UAV trajectory planning, and stochastic optimization for large-scale systems. Key contributions include resilient UAV traffic control, distributed state estimation algorithms, and fault detection methods for navigation systems. Sun's research has been published in top journals like IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part E. Education: B.Eng., Tsinghua University (2000) M.S., Ohio State University (2002) Ph.D., UC Berkeley (2008) He advises on cutting-edge projects integrating robotics, autonomous systems, and cloud-based traffic modeling. His lab develops solutions for urban air mobility, emergency medical UAV networks, and next-generation air traffic control systems. Notable collaborations include work with NASA and industry partners on continuous descent approach procedures and metroplex routing paradigms. Sun's work bridges theoretical control systems with practical applications in aviation and infrastructure optimization.

• Networking and Operating Systems
• Information Security and Assurance
• Network Architecture and Protocols
• +۳ مورد دیگر

Sonia A. Fahmy is a Professor of Computer Science and Associate Department Head at Purdue University's Department of Computer Science (College of Science). She holds a PhD from The Ohio State University (1999). Her research focuses on network architectures, protocols, and security, with over 100 refereed publications. Key areas include virtual reality networking, cellular network optimization, and network experimentation tools like NFV-VITAL and ENVI. Her work is supported by NSF, DHS, industry partners, and she leads Purdue's CERIAS cybersecurity initiatives. Education: PhD in Computer and Information Science from The Ohio State University (1999). Research Interests: Network security, distributed systems, wireless sensor networks, and network function virtualization. Notable contributions include the HEED clustering algorithm and Contain-ed latency management system. Awards: NSF CAREER Award (2003), IEEE Fellow. Grants: NSF, DHS, AT&T, Cisco, Juniper, and Meta-funded projects. Professional service includes leadership roles in IEEE ICNP, INFOCOM, and editorial roles in top journals. Advising: Mentored over 20 PhD students and postdocs. Current advisees include Umakant Kulkarni and Yufeng Chen. Research teams collaborate with industry partners like Hewlett-Packard and Sandia National Labs. Labs/Teams: Active in Purdue's CERIAS, leading projects on secure network protocols and experimentation frameworks. Tools developed include EMIST, Testbed Mapping, and iHEED for sensor networks.

• Artificial Intelligence
• Supply Chain
• Sustainability
• +۶ مورد دیگر

Evelyn Xiaoyue Gong is an Assistant Professor of Operations Management at the Tepper School of Business , Carnegie Mellon University . She holds a PhD in Operations Research from MIT (2023) and a BS in Honors Mathematics and Interactive Media Arts from New York University (2017) . Research Interests : Developing artificial intelligence solutions for supply chains and sustainability with provable performance guarantees. Online assortment optimization, pure exploration in reinforcement learning, and data-driven decision-making . Recent Work Trends : Her publications focus on applying reinforcement learning and optimization algorithms to supply chain sustainability, server deployment under uncertainty, and resource management. Key themes include AI-driven environmental impact reduction and theoretical advancements in online inventory models . Scientific Recognition : Best Dissertation Prize , Supply Chain Conference (2023) Accenture Fellowship (2022-2023) Bayer Women in Operations Research Scholarship (2021) Professional Service : Reviewer for Management Science , NeurIPS 2025 , and IPCO 2025 . Committee member for INFORMS Public Sector Operations Research Best Paper Award (2025).

Sudeep Hegdeمشاهده پروفایل

استادیار

• Proactive Organizational Learning
• Human-AI Teaming
• Remote Physiological Monitoring
• +۵ مورد دیگر

Dr. Sudeep Hegde is an Assistant Professor in the Department of Industrial Engineering at Clemson University, where he also serves as a Faculty Scholar in the Clemson University School of Health Sciences Research (CUSHR). His research focuses on proactive organizational learning, human-AI collaboration, and remote physiological monitoring, with applications in healthcare, education, and transportation. He holds a Ph.D. in Industrial and Systems Engineering from the University of Buffalo (2015), an M.S. from the University at Buffalo (2010), and a B.S./M.S. from Ramaiah Institute of Technology in India (2007). His professional experience includes roles at Texas A&M University, the State University of New York at Buffalo, and Harvard Medical School. Hegde’s work emphasizes resilience engineering, cognitive systems, and applied ergonomics. Notable research contributions include studies on organizational adaptive capacity during crises, healthcare workflow optimization, and leveraging AI for healthcare decision-making. He teaches courses such as Human Factors Engineering and Cognitive Systems and Resilience Engineering. Key research thrusts include: Proactive organizational learning frameworks Human-AI teaming for large-scale learning Remote physiological monitoring in high-stress environments Resilience in healthcare systems and emergency response Past grants and collaborations include studies on pandemic response strategies, ED physician workloads, and biofeedback applications for mental health. His interdisciplinary approach bridges systems engineering, human factors, and healthcare innovation.

Bissan Ghaddarمشاهده پروفایل

استاد

• Robust Optimization
• Edge Computing
• Vehicle Routing
• +۳ مورد دیگر

Bissan Ghaddar is a Professor in the Department of Technology, Management and Economics at Technical University of Denmark (DTU). Her work focuses on robust optimization, edge computing, and sustainable energy systems, contributing to UN Sustainable Development Goals related to affordable and clean energy. She supervises PhD projects on sector coupling in energy models and quantum computations for power systems. Her research interests include optimizing energy consumption in electric vehicle routing and application placement in edge computing under uncertainty. She has published influential papers in journals like Transportation Research Part C and Omega , addressing latency and efficiency challenges in dynamic systems. Current projects include modeling large-scale sectoral energy systems using smart-linking approaches (2024–2027) and secure power system operation leveraging quantum computations (2021–ongoing). She collaborates internationally with experts in operations research and telecommunications.

Stephen E. Stillمشاهده پروفایل

استاد

• Transportation Systems Engineering
• Sustainable Infrastructure
• Operations Research
• +۳ مورد دیگر

Stephen E. Still is a Professor of Practice in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo (UB), affiliated with the Institute for Sustainable Transportation and Logistics. His roles include teaching applied transportation planning and technology courses, advising students, and collaborating across disciplines between the School of Engineering and Applied Sciences and the School of Management. Prior to academia, he served as founder and managing director of Seabury Airline Planning Group and Diio, LLC, specializing in aviation consulting and IT. With over 30 years of industry experience, he held leadership roles at US Airways and United Airlines, focusing on strategic route planning, fleet management, and alliance development. Dr. Still holds a PhD in Civil Engineering and Operations Research from Princeton University, with a focus on transportation systems and economics, and a BS in Engineering (magna cum laude) from UB with a concentration in transportation planning. He has also completed advanced coursework in demand modeling at MIT. His research interests emphasize sustainable transportation systems and logistics, integrating engineering principles with operational efficiency. While his academic contributions primarily reside in transportation engineering, his interdisciplinary work incorporates wearable technology and sensor-based solutions for health monitoring, as evidenced by his extensive publication record in smoking cessation and behavioral health research. Scientific awards and grants are not explicitly mentioned in the provided information. Dr. Still’s advising and teaching focus on fostering student engagement in transportation innovation and real-world problem-solving. His professional experience bridges academia and industry, reflecting a commitment to practical applications of engineering and logistics principles.

• Computer Vision
• Pattern Recognition
• Medical Image Analysis
• +۴ مورد دیگر

Laura Brandolini is a Researcher at the Department of Industrial and Information Engineering, University of Pavia, where she collaborates with the Computer Vision and Multimedia Laboratory. She simultaneously serves in the university's ICT area, administering over 200 central servers including backup systems, virtualized services, and hardware infrastructure. Her educational background includes: Master in Computer Engineering (cum laude), University of Pavia, 1998 PhD in Industrial and Information Engineering, University of Pavia, 2013 Dr. Brandolini's research integrates computational topology with practical imaging applications, specializing in Reeb graph computation for 3D mesh segmentation and medical shape analysis. Her work bridges theoretical computer science with clinical neuroscience, particularly in developing topological descriptors for brain structures like the striatum. This interdisciplinary approach enables novel solutions for surface mesh processing in both industrial and medical contexts. Her 2012 publications reveal a consistent focus on computational geometry applied to medical imaging, demonstrating how Reeb graph theory can simplify complex 3D shape analysis. These works established foundational techniques for efficient mesh segmentation with applications in neuroimaging and computer-aided diagnosis systems. She has received the following recognition: Best Student Paper Award at ICPRAM 2012 Dr. Brandolini maintains active industry engagement through her PMP certification (held since 2004) and PMI-NIC involvement, while her dual roles demonstrate unique synergy between academic research and enterprise IT operations. Her current work combines server infrastructure management with advancing computer vision methodologies.

Yang Chengمشاهده پروفایل

دانشیار

• Supply Chain Management
• Manufacturing Strategy
• Manufacturing Network
• +۵ مورد دیگر

Yang Cheng is an Associate Professor at the Department of Materials and Production, Aalborg University, Denmark. He holds a PhD in Mechanical Engineering from the same institution (2011), focusing on manufacturing strategy and network dynamics. His research spans supply chain management, sustainability, and global operations, with a focus on integrating technology and environmental policies into manufacturing systems. He leads or participates in high-impact projects like MAASive (2024–2026) and the Sino-Danish Center Research Project (2011–present), addressing resilience in value networks and global operations innovation. Research Interests: Supply Chain Management & Integration Sustainability & Green Technologies Manufacturing Strategy & Networks Technology Policy & Digitalization Global Operations & Cross-Border Collaboration Recent Work Trends: Prof. Cheng's 2025 articles emphasize blockchain in sustainable supply chains, green technology investments under carbon policies, and digitalization's ethical implications. His 2024 research explores smart factories, EU battery regulations, and robotization in manufacturing. These studies blend quantitative models with case-based analysis to address real-world challenges. Awards: 2024 Emerald Literati Awards – Outstanding Reviewer Advising & Grants: As PI for multiple Global Operations Management PhD programs (2019–2025), he guides research on digital transformation and university-industry collaboration. His projects receive funding from Danish and international grants, focusing on innovation and resilience in manufacturing networks. Labs/Teams: Collaborates with the Center for Industrial Production at Aalborg University and engages in international partnerships through the Sino-Danish Center. Active editorial roles include Production Planning & Control and Journal of Manufacturing Technology Management .

Marina Freire-Gormalyمشاهده پروفایل

استادیار

• Renewable Energy Systems
• Water Treatment Technologies
• Machine Learning Applications
• +۵ مورد دیگر

Marina Freire-Gormaly is an Assistant Professor in the Mechanical Engineering Department at York University's Lassonde School of Engineering. Her research focuses on renewable energy-powered water treatment systems, machine learning for smart design, advanced manufacturing, and sustainable engineering solutions for remote communities. She holds a PhD and M.A.Sc. from the University of Toronto, specializing in carbon capture and storage technologies. She has worked on nuclear energy projects at Ontario Power Generation and contributed to World Bank sustainability assessments. She currently chairs the Canadian Society of Mechanical Engineers' Student and Young Professional Affairs committee. Education: PhD in Mechanical Engineering, University of Toronto M.A.Sc. in Mechanical Engineering, University of Toronto Research Interests: She pioneers solar-powered reverse osmosis systems, energy recovery mechanisms, and IoT-driven smart systems. Her lab explores nanotechnology applications in environmental sustainability, including carbon capture and aquatic remediation. She integrates machine learning for optimizing energy-water nexus challenges in off-grid regions. Key Contributions: Developed models for membrane fouling in desalination systems, advanced pore network characterization for geologic CO2 storage, and designed automated renewable energy systems. Her work bridges engineering innovation with global sustainability goals. Grants & Collaborations: Engages with industries like Honda Canada and Trane Canada on sustainability initiatives. Supervises graduate students in emerging areas like nanobubble technology and direct air capture systems. Lab Activities: The Freire-Gormaly Lab focuses on clean energy-water systems, with current projects involving nano-technology for space applications (Canadian Space Agency collaboration) and life cycle assessments of carbon storage technologies.

Hyungwoong Ahnمشاهده پروفایل

مدرس ارشد

• Adsorption Processes
• CO2 Capture
• Carbon Capture and Storage
• +۵ مورد دیگر

Dr. Hyungwoong Ahn is a Senior Lecturer in Chemical Engineering at the University of Edinburgh and an Adjunct Professor at Yonsei University. His expertise lies in adsorption process engineering, particularly for CO2 capture and gas separation. He leads the Carbon Capture Group and coordinates exchange programs for chemical engineering students. Dr. Ahn holds a BSc, MSc, and PhD in Chemical Engineering from Yonsei University. Roles: Senior Lecturer (Edinburgh) & Adjunct Professor (Yonsei) Research Focus: Pressure Swing Adsorption (PSA), CO2 capture technologies, hydrogen purification, and industrial decarbonisation Key Projects: PSA-SPUR technology development, ship-based carbon capture, and collaboration with HD Korea Shipbuilding Awards: KOFST Brain Pool Fellow, IChemE Global Awards finalist, and Honeywell UniSim Design Challenge winner His research integrates equilibrium theory analysis, numerical simulation, and experimental validation to advance carbon capture systems. He has authored over 50 publications (H-index 32) and secured funding from EPSRC, BEIS, KETEP, and others.

Simon Mooreمشاهده پروفایل

استاد

• Computer Architecture
• Computer Security
• Hardware Security
• +۳ مورد دیگر

Simon Moore is a Professor of Computer Engineering at the University of Cambridge's Department of Computer Science and Technology. He leads the Computer Architecture research group, focusing on secure processors and subsystems, particularly the CHERI project. His work emphasizes formal verification, hardware-software co-design, and scalable security solutions. He is a Fellow and Director of Studies at Trinity Hall, overseeing undergraduate admissions and mentoring in Computer Science. Research Interests: Moore's primary focus is the CHERI secure processor architecture, integrating RISC-V cores with formal verification. His work spans secure hardware design, memory safety, and embedded systems. Notable contributions include the CHERI-RISC-V microarchitecture, CheriABI, and formal verification frameworks. Key Projects: CHERI, CheriBSD, Morello (ARM collaboration) Recent Achievements: Test of Time Award (IEEE Security & Privacy 2025), finalist for Bhattacharyya Award (2022) Grants: Innovate UK Digital Security by Design, DARPA Mission Oriented Resilient Clouds Publications: Over 200 papers on secure architectures, including influential work on CHERI's capability model, formal verification, and hardware security. Recent focus areas include temporal memory safety, embedded system security, and GPU-based capability systems. Labs/Teams: Directs the Computer Architecture Group and collaborates with industry partners like ARM and Microsoft on CHERI implementations.