جست‌وجوی استاد و پژوهشگر

Elisabeth Gilmoreمشاهده پروفایل

دانشیار

• Climate Change
• Environmental Policy
• Integrated Assessment Modeling
• +۷ مورد دیگر

Elisabeth Gilmore serves as an Associate Professor in the Department of Civil and Environmental Engineering at Carleton University with a formal appointment in the School of Public Policy and Administration. Her interdisciplinary research bridges engineering, social sciences, and public policy to address climate change and environmental challenges at local to global scales, particularly focusing on air pollution and societal responses to environmental transformations. Her core research integrates integrated assessment modeling with socio-political analysis to develop climate scenarios, examine human adaptation behaviors, and identify technological-societal transformation pathways. Key interests span climate governance mechanisms, conflict-climate interactions, migration dynamics, and equity-focused adaptation strategies, with emphasis on vulnerable populations and fragile contexts. Recent work critically examines tipping point discourse, rebel governance in climate-vulnerable regions, and place-based convergence research methodologies. Analysis of her 2024-2025 publications reveals dominant trends in climate policy innovation (particularly state-level fiscal tools), climate-security linkages in conflict-affected regions, and adaptation barriers for marginalized communities. Her work consistently integrates political development frameworks into climate scenarios while challenging deterministic narratives around climate tipping points, emphasizing actionable governance pathways over catastrophic projections.

Patrick Rayمشاهده پروفایل

پژوهشگر

• Hydro-Economic Modeling
• Climate Change Risk Management
• Water Resources Engineering
• +۳ مورد دیگر

Patrick Ray is a specialist in hydro-economic systems modeling for climate change risk management. He holds a Ph.D. in Water Resources Engineering from Tufts University and a B.Sc. in Civil and Environmental Engineering from the University of Massachusetts Amherst. His research focuses on integrating climate uncertainty into water resources planning, with contributions to the World Bank’s Decision Tree framework, UNESCO’s CRIDA methodology, and the International Hydropower Association’s Climate Resilience Guide. He has led over 20 major grants from entities including the U.S. Army Corps of Engineers, World Bank, and National Science Foundation, focusing on resilience, climate adaptation, and infrastructure design. Notable roles include Climate Resilience Lead for the United Nations Economic Commission for Africa (2022) and Chair of the American Society of Civil Engineers Environmental and Water Resources Systems Committee (2018–2019). His research interests span climate resilience frameworks, equity in resource allocation, hydro-economic modeling, and the application of machine learning for water quality prediction. Awards include the A. Ivan Johnson Outstanding Young Professional (2018) and World Bank Knowbel Prize (2015). Recent work emphasizes nature-based solutions for climate adaptation, economic evaluation of water projects under uncertainty, and participatory approaches to urban water management. He has advised on projects in Nepal, South Africa, Mexico City, and the Ohio River Basin.

• Operations Research
• Mathematical Optimization
• Discrete-event Simulation
• +۴ مورد دیگر

Dr. Shane Hall is an Assistant Professor at the Jake Jabs College of Business & Entrepreneurship, University of Montana. He specializes in operations research, mathematical optimization, and management science. His research focuses on applying quantitative models to enhance organizational efficiency, particularly in military systems, pediatric vaccination logistics, and supply chain management. Education: Ph.D. in Industrial Engineering from University of Illinois at Urbana-Champaign (2006) M.S. in Operations Research from Air Force Institute of Technology (2000) B.S. in Mathematics from Brigham Young University (1997) Research Interests: Dr. Hall's work integrates optimization methods with discrete-event simulation to solve complex problems. He has contributed to military operations, pediatric vaccination formulary design, and logistics optimization. His recent focus includes risk analysis frameworks and simulation optimization techniques. Awards: Finalist for David Rist Prize (2017) Excellence in Teaching Award (2009) George Harper Award (2006) Teaching: Teaches Operations Management (BMGT 322) and Operations and Supply Chain (BMGT 565) courses regularly. His teaching emphasizes practical applications of optimization and operations research principles. Service: Serves as a reviewer for journals like Journal of Defense Modeling and Simulation and Optimization Letters . Active in professional organizations such as INFORMS and MORS.

Abdelouahab Dehbiمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics (CFD)
• Nuclear Engineering
• Thermal Hydraulics
• +۵ مورد دیگر

Dr. Abdelouahab Dehbi is a Senior Scientist at the Paul Scherrer Institute (PSI), Switzerland, affiliated with the Laboratory for Simulation and Modelling within the Center for Scientific Computing, Theory and Data. His research focuses on computational fluid dynamics (CFD), aerosol behavior, and severe accident analysis in nuclear systems. Key projects include the ARTIST initiative investigating aerosol retention in steam generators during severe accident scenarios. He specializes in modeling turbulence, multiphase flows, and thermal hydraulics with applications to nuclear reactor safety. Notable contributions include CFD-based studies on particle dispersion, condensation phenomena, and validation of safety codes against experimental data. Collaborations span international institutions, emphasizing experimental validation and code benchmarking. Research Contributions Development of stochastic and LES-based models for particle transport and deposition. Investigation of steam condensation dynamics in the presence of noncondensable gases. Leadership in the ARTIST project, yielding insights into SGTR (Steam Generator Tube Rupture) aerosol retention. Pioneering work on granular flow dynamics in pebble-bed reactors and hydrogen mitigation strategies. Key Collaborations Active in OECD/NEA CFD4NRS workshops and international projects like PHEBEN-2 and IPRESCA. His work bridges CFD simulations with experimental data from facilities like CESANE and PANDA. Future Work Ongoing focus on enhancing safety analyses through advanced CFD techniques, thermal radiation modeling, and validation of correlations for steam condensation under extreme conditions.

Marcus Holzingerمشاهده پروفایل

استاد

• Space Policy
• Space Situational Awareness
• Information Theory
• +۴ مورد دیگر

Dr. Marcus Holzinger is the Joseph T. Negler Professor and Hatfield Endowed Professor in Space Policy & Law at the University of Colorado Boulder's Department of Aerospace Engineering Sciences. He leads the Colorado Center for Astrodynamics Research (CCAR) and the VADeR Laboratory, focusing on advancing space exploration through interdisciplinary research in space policy, autonomy, and space situational awareness. His work emphasizes collaboration and sustainable practices in space. Education: PhD in Aerospace Engineering Sciences, University of Colorado Boulder (2011) MS in Aeronautics & Astronautics Engineering, University of Washington (2005) BS in Aeronautics & Astronautics Engineering, University of Washington (2003) Research Interests: Space Policy & Law Space Domain Awareness Autonomy & Decision Support Systems Cislunar Space Dynamics Information Theory & Estimation Space Traffic Management Recent Research Trends: Holzinger’s work prioritizes cislunar space exploration and decentralized decision-making for space systems, with applications in orbital debris mitigation, sensor tasking, and spacecraft autonomy. His publications frequently address challenges in initial orbit determination and spacecraft maneuver detection . Awards: American Astronautical Society Fellow (2022) AIAA Associate Fellow (2018) AFOSR Young Investigator Award (2017) Advising & Labs: Holzinger mentors students in the STARLIT and VADeR Observatories. Notable advisees include Sam Fedeler (2023 PhD) and Katie Melbourne (PhD student). His labs develop technologies like astrographic mapping and sensor networks for space surveillance. Labs/Teams: CCAR and the VADeR Lab collaborate on projects funded by NASA, AFRL, and industry partners, emphasizing hardware-in-the-loop testing and space policy frameworks.

Shuminoski Tomislavمشاهده پروفایل

پژوهشگر

• Telecommunications
• Wireless Networks
• Cybersecurity
• +۶ مورد دیگر

Shuminoski Tomislav is a researcher at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, North Macedonia. He holds a PhD in Electrical Engineering and Information Technologies (2016) with a dissertation on 5G QoS mechanisms and vertical multi-homing. His academic background includes a Master’s (2010) and Bachelor’s (2008) in Telecommunication, both with perfect grades. He specializes in telecommunications, cybersecurity, and next-generation mobile networks, focusing on QoS optimization, 5G infrastructure, and secure communication frameworks. Education: PhD, 2016: Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies (Dissertation: “QoS Mechanisms and Vertical multi-homing for 5G Mobile and Wireless Networks”) M.Sc., 2010: Telecommunication, Module: Communication and Information Technologies B.Sc., 2008: Telecommunication Research Interests: His work spans 5G networks, mobile edge computing, cybersecurity, IoT security, QoS provisioning, and blockchain applications in cloud computing. He emphasizes practical implementations of theoretical models in real-world scenarios, such as emergency response systems and ultra-reliable low-latency communication. Publications: Over 30 peer-reviewed articles since 2009, including innovative papers on 5G frameworks, secure communication platforms, and steganographic techniques. Recent work focuses on AI-driven resource allocation and quantum-resistant cryptography for IoT. Awards/Grants: No specific awards mentioned, but active in collaborative industry projects on network security and cloud infrastructure. Labs/Teams: Associated with the Telecommunications Institute at FEIT, contributing to research on wireless networks and critical infrastructure systems.

Gavrilovska Liljanaمشاهده پروفایل

دانشیار

• Telecommunications
• Mobile Edge Computing (MEC)
• Blockchain Technology
• +۸ مورد دیگر

Liljana Gavrilovska is an Associate Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of Ss. Cyril and Methodius University of Skopje (UKIM), specializing in the Department of Telecommunications. Her work focuses on advanced telecommunications systems, including 5G/Beyond 5G networks, mobile edge computing (MEC), blockchain applications in healthcare and IoT, cognitive radio networks, and network virtualization. She leads research groups addressing challenges in wireless resource management, energy efficiency, and distributed consensus mechanisms. Her research interests span telecommunications infrastructure , blockchain for healthcare systems , IoT optimization , and network slicing . Recent work includes developing the BloHeS consensus mechanism for blockchain systems and the Shapeshifter framework for MEC latency optimization. She also investigates dynamic spectrum allocation strategies and energy-efficient WuR-based IoT protocols. Publications emphasize practical implementations like the CHEST COPD e-Health platform and the FALCON project for virtualized network resource allocation. While no specific awards are listed, her contributions to open-source solutions like eWALL and SmartWine reflect industry engagement. Advising activities and grants are not explicitly detailed in the provided texts, though her involvement in EU projects like 5G-MEC and cognitive radio initiatives suggests significant collaborative work. Current projects include system design for blockchain-based public healthcare systems and analysis of heterogeneous network performance in LTE and DVB-T coexistence scenarios. She is actively involved in the FEIT Telecommunications Institute, contributing to both academic and applied research in telecommunications engineering.

Gaurav Sukhatmeمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Computer Science
• +۶ مورد دیگر

Gaurav Sukhatme is a Professor of Computer Science and Electrical and Computer Engineering at the University of Southern California (USC), serving as Executive Vice Dean of the USC Viterbi School of Engineering and inaugural Director of the USC School of Advanced Computing. He holds the Donald M. Aldstadt Chair in Advanced Computing. His academic roles include former Chair of the USC Computer Science Department (2012–2017) and co-director of the USC Robotics Research and Robotic Embedded Systems Laboratories. **Education:** Bachelor's in Computer Science and Engineering, Indian Institute of Technology Bombay M.S. and Ph.D. in Computer Science, University of Southern California **Research Interests:** His work focuses on networked robots, learning-based robotics, field robotics, and AI-driven systems. Key areas include multi-robot coordination, autonomous systems, and resilient control strategies for heterogeneous teams. He emphasizes human-centered computing and ethical implications of AI. **Article Trends:** Recent publications highlight advancements in zero-shot visual generalization, multi-robot navigation, reinforcement learning for manipulation, and decentralized trajectory planning. Themes include resilience in multi-robot systems, policy optimization, and leveraging large language models for robotics tasks. **Awards:** AAAS Fellow (2024) NSF CAREER Award (2002) IEEE Fellow (2010) Okawa Foundation Research Grant (2006) **Advising & Grants:** He has served as PI/co-PI on NSF, DARPA, and NASA grants, including leadership in the NSF-funded Center for Embedded Networked Sensing (CENS). His work bridges theoretical and applied robotics, emphasizing cross-disciplinary collaboration. **Labs & Teams:** Directs the USC Robotics Research Laboratory and collaborates widely with institutions like JPL. His team focuses on real-world applications in autonomous systems, environmental monitoring, and human-robot interaction.

• Aquatic Ecology
• Lake Restoration
• Eutrophication
• +۷ مورد دیگر

Miquel Lürling is an Associate Professor in Aquatic Ecology and Water Quality Management at WIMEK (Wageningen University & Research) . His research focuses on lake restoration, eutrophication, cyanobacteria dynamics, and the impacts of pollutants in aquatic ecosystems. He has contributed to over 247 publications and actively participates in projects addressing water quality challenges. Research Interests: Lake restoration strategies and their effectiveness Ecotoxicological effects of microplastics and pharmaceuticals Cyanobacterial blooms and toxin production Phosphorus cycling and sediment management Recent Research Trends: His work emphasizes interdisciplinary approaches, combining field studies, mesocosm experiments, and modeling to address climate change impacts and sustainable water management. Key themes include microplastic-pollutant interactions, restoration efficacy under extreme conditions, and global lake management practices. Advising & Projects: Promotes PhD candidates in projects like Lanthanum-based lake restoration and Taihu Lake algae patterns Leads initiatives on nutrient management and socio-ecological challenges in water systems Labs/Teams: Collaborates with interdisciplinary teams on global water quality initiatives, including the World Water Quality Alliance , and contributes to policy-relevant research through datasets and media engagements.

• Signal Processing
• Communications Engineering
• Radar Systems
• +۵ مورد دیگر

Assoc. Professor Qinghua Guo holds a position at the University of Wollongong's School of Electrical, Computer and Telecommunications Engineering. He earned his PhD from City University of Hong Kong (2008) and has been affiliated with the University of Wollongong since 2019. His research focuses on signal processing, communications, radar systems, machine learning, and optical sensing, with notable contributions to graphical models and Bayesian inference. Prof. Guo is recognized as a top 2% influential scientist globally (Stanford University) and a leader in Electronics and Computer Science (Research.com). He serves as an Associate Editor for IEEE Transactions on Signal Processing and IEEE Wireless Communications Letters, among other roles. His teaching spans undergraduate to postgraduate levels, including specialized subjects in engineering and information sciences. His recent research emphasizes integrated sensing and communication systems, federated learning, and secure beamforming in 5G/6G networks. He has supervised over 30 PhD and Master’s students in areas like MIMO systems, signal processing for IoT, and quantum sensing. Key funded projects include AFDM-SCMA (2025–2028) for IoT connectivity and Grant-Free Multiple Access for LEO satellite networks (2023–2027). His work bridges theoretical advancements with practical applications in robotics, energy systems, and defense technologies.

Dimitry V. Valمشاهده پروفایل

استاد

• Structural Safety and Reliability
• Quantitative Risk Assessment
• Infrastructure Adaptation to Climate Change
• +۳ مورد دیگر

Dimitry V. Val is a Professor at Heriot-Watt University, holding positions in the School of the Built Environment and affiliated with the Institute for Infrastructure & Environment. His academic career includes roles at Technion – Israel Institute of Technology, James Cook University, and The University of Newcastle. He earned an M.Eng in Civil Engineering from Moscow Institute of Civil Engineering (1985) and a D.Sc in Structural Engineering from Technion (1995). His research focuses on structural safety, quantitative risk assessment, infrastructure adaptation to climate change, and probabilistic modeling of material deterioration. Recent work emphasizes sustainable infrastructure solutions, low-carbon concretes, and resilience in dynamic environmental conditions. His contributions align with UN Sustainable Development Goals related to climate action and sustainable cities. Key publications from 2024–2025 explore probabilistic frameworks for durability, CO₂ balance in construction, and infrastructure resilience under climate change scenarios. Collaborations span international institutions, reflecting his global impact in structural engineering and environmental systems.

• Sustainable Energy Systems
• Numerical Optimization
• Deep Learning
• +۳ مورد دیگر

Dr. Manuel Dahmen serves as Head of Department at the Institute of Climate and Energy Systems (ICE-1) within the Research Center Jülich. His research focuses on designing sustainable and cost-efficient energy systems through numerical optimization and deep learning techniques. He leads efforts in advancing energy system technology, particularly in optimizing renewable energy integration, process network analysis, and the co-design of fuels and engines. His work emphasizes innovative applications of machine learning, such as physics-informed neural networks and reinforcement learning, to address challenges in energy system design and operation. Key areas include reducing greenhouse gas emissions in industrial processes, optimizing energy networks, and developing data-driven models for dynamic process control. Dr. Dahmen’s contributions span algorithm development (e.g., MUSE-BB decomposition algorithms), energy system scenario generation, and robust design methodologies under uncertainty. His research bridges computational methods with practical energy solutions, aiming to achieve decarbonization in industries like copper production and transportation. Publications highlight advancements in renewable energy integration, fuel design for spark-ignition engines, and the application of graph neural networks for molecular property prediction. His interdisciplinary approach fosters collaboration across chemical engineering, computer science, and energy economics to tackle global sustainability challenges.

Kostas Galanakisمشاهده پروفایل

استاد

• Innovation Systems
• Regional Transformation
• Regional Innovation Systems
• +۳ مورد دیگر

Kostas Galanakis is Professor (Chair) of Innovation, Entrepreneurship & Intrapreneurship at the School of Business, University of Dundee. He holds a PhD in Modelling Innovation Systems from the University of Warwick. His career includes roles as Professor at Burgundy School of Business, Associate Professor at Nottingham Business School, and Senior Lecturer at the University of Crete. Research focuses on Innovation Systems at enterprise, regional, and national levels, using Systems Thinking to analyze inter-actor relationships. Key sectors include automotive, food, biotechnology, and energy transition. He publishes in journals like Regional Studies and Technovation . Notable projects include coordinating the €4M Horizon2020 project Smart-BEEjS on sustainable energy districts. He advises the University of West Macedonia’s MATER lab and serves as an MSCA-ITN Evaluator for Horizon Europe. Teaching includes leading postgraduate programs in Innovation Management and supervising 11 PhD/DBA students. Previously led the MSc Entrepreneurship program at Nottingham Business School (2016-2020).

Mari Carmen Suárez-Figueroaمشاهده پروفایل

دانشیار

• Ontology Engineering
• Semantic Web
• Linked Data
• +۳ مورد دیگر

Mari Carmen Suárez-Figueroa is an Associate Professor at the Artificial Intelligence Department, School of Computer Science, Universidad Politécnica de Madrid (UPM). She is also a senior researcher at the Ontology Engineering Group (OEG). Her research focuses on Ontology Engineering, Semantic Web, and Linked Data, with emphasis on ontology networks, evaluation, and design patterns. She holds a PhD in Artificial Intelligence from UPM (2010) and has been recognized with an Outstanding Award from UPM's Graduate Doctorate Commission. Her work includes contributions to methodologies like the NeOn Framework, tools such as OOPS! for ontology validation, and participation in projects like NeOn, SEEMP, and Ready4SmartCities. She has organized conferences and workshops, including TKE 2012 and WOP 2012. Over 88+ publications span journals like International Journal of Information Technology & Decision Making and Data & Knowledge Engineering . Key achievements include co-editing Ontology Engineering in a Networked World (Springer, 2012) and leading interdisciplinary initiatives on inclusive consumer testing and semantic metadata standards. Ongoing projects address social inclusion via machine learning and educational service-learning programs.

• Tropical Cyclone Dynamics
• Atmospheric Science
• Meteorology
• +۳ مورد دیگر

Chaehyeon Chelsea Nam is an Assistant Professor at the Department of Earth, Ocean, and Atmospheric Science (EOAS) at Florida State University, leading the Tropical Cyclone & Radar Research Lab. Her research focuses on understanding tropical cyclone dynamics, including genesis, intensification, and microphysical processes, through radar data analysis and high-resolution mesoscale modeling (WRF, CM1). Joined FSU in Spring 2024 Principal Investigator of her research group Active in field campaigns (ORCESTRA/PICCOLO, PRECIP 2022) Research Interests span multi-scale interactions in tropical cyclones, compound hazards, and climate change impacts. She emphasizes radar-based observations (airborne, shipborne, land-based) and parametric rainfall modeling for future projections. Recent Publications highlight sea spray effects on intensification, rainband climatology in monsoon regions, and parametric rainfall models. Her work integrates field observations with numerical simulations to study shear/dry environment impacts on genesis. Scientific Awards Best Student Oral Presentation, 14th International Conference on Mesoscale Convective Systems (ICMCS-XIV), 2021 Students include Master's candidates Connor Stoll and Abraham Tekoe, plus honor's thesis students Anna Walker and Kristen Cooper. Her lab collaborates with institutions in South Korea and the U.S., contributing to regional cyclone risk assessments.