جست‌وجوی استاد و پژوهشگر

Sohrab Zendehboudiمشاهده پروفایل

استاد

• Energy and Environment
• Process Systems Engineering
• Transport Phenomena
• +۵ مورد دیگر

Dr. Sohrab Zendehboudi is an Equinor Chair Professor and research lead in the Department of Chemical and Process Engineering at Memorial University's Faculty of Engineering and Applied Science. His work focuses on energy and environmental challenges through experimental and modeling approaches. He has over 15 years of experience across academia and industry in Iran, Kuwait, the U.S., and Canada. He holds a PhD in Chemical Engineering (specializing in transport phenomena) from the University of Waterloo. Research interests include carbon capture, utilization, and sequestration (CCUS), renewable energy systems, process systems engineering, and advanced wastewater treatment. He leads a large research team addressing theoretical and practical challenges in energy sustainability and environmental protection. Key achievements include the 2023 Lectureship Award. His publications span topics like hydrogen production, CO2 storage, solar energy systems, and novel adsorbent materials. He actively seeks graduate students and researchers skilled in experimental work, numerical modeling, and machine learning for energy applications. Education: PhD in Chemical Engineering (University of Waterloo) Key Areas: CO2 Management, Bioenergy, Adsorption Technologies Labs/Teams: Large interdisciplinary research group Grants: Focus on renewable energy and sustainability projects

• Innovation Management
• Artificial Intelligence
• Sharing Economy
• +۳ مورد دیگر

Stephan Nüesch is a Professor and Director of the International Institute of Management in Technology at the University of Fribourg, affiliated with the Faculty of Management, Economics and Social Sciences. His research focuses on innovation management, artificial intelligence, sharing economy dynamics, organizational behavior, and technology leadership. He holds a prominent role in bridging academic research with practical business applications, particularly in digital transformation and healthcare systems. His work explores topics such as CEO-TMT shared cognition, human-AI collaboration, and value creation in emerging economic models. He teaches courses in management and technology strategy and actively contributes to interdisciplinary research initiatives. His recent articles address nonlinear relationships in economic systems, toolkit-driven innovation, and the impact of crises on organizational identity. Nüesch is a leading voice in leveraging technology for strategic advantage, with a strong emphasis on empirical analysis and policy implications.

• Sports Medicine
• Exercise Physiology
• Orthopedic Rehabilitation
• +۳ مورد دیگر

Alesander Badiola Zabala is a Lecturer in the Department of Nursing and Physiotherapy at the Blanquerna School of Health Sciences, Universitat Ramon Llull. His research focuses on athlete performance optimization, sports injury prevention, and biomechanical analysis in physical activities. He has contributed to projects like the SAFE initiative (2014-2017 and 2017-2021), investigating health, physical activity, and sports-related interventions. His work integrates observational studies, clinical trials, and biomechanical assessments to address topics such as lumbar movement in swimmers, core training for rhythmic gymnasts, and ACL injury mechanisms. He has collaborated on multidisciplinary teams including experts in physiotherapy, sports science, and public health. Badiola Zabala's publications reflect a strong emphasis on applying evidence-based methods to improve athletic performance and reduce injury risks. His research aligns with UN Sustainable Development Goals related to health and well-being.

Tim Oatesمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Deep Learning
• +۷ مورد دیگر

Dr. Tim Oates is a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County . His research spans machine learning, artificial intelligence, and brain-machine interfaces, with a focus on weakly supervised methods, human-in-the-loop reinforcement learning, and grounded policy development for robotics. Ph.D., Computer Science, University of Massachusetts, Amherst, 2000 M.S., Computer Science, University of Massachusetts, Amherst, 1997 B.S., Computer Science and Electrical Engineering, 1989 Current research threads include: Developing non-invasive brain injury severity assessment via medical time series Modeling human brain development through computational frameworks Designing algorithms for autonomous robotic learning Recent publications highlight AI security mechanisms (backdoor detection via tensor decomposition, matrix factorization) Medical applications (3D artery reconstruction, skin lesion diagnosis, EEG denoising) Neuro-symbolic integration (holographic representations, language-guided reinforcement learning) Mathematical reasoning (schema-based problem solving, subitizing algorithms) Contact: oates@cs.umbc.edu | Office: 336 Information Technology and Engineering (ITE) Building

Pooya Davariمشاهده پروفایل

استاد

• Harmonic and EMI analysis and mitigation in grid-tied converters
• Electromagnetic interference and compatibility
• High power density power electronic systems
• +۲ مورد دیگر

Pooya Davari is a Professor and Head of the Section for Applied Power Electronic Systems at Aalborg University , Denmark. He leads the EMI/EMC in Power Electronics Research Group and serves as Vice Chair of the Energy Efficiency Mission. His research focuses on electromagnetic interference (EMI) and harmonic mitigation in power electronic systems, with over 200 publications and significant contributions to renewable energy integration. Education: B.Sc. and M.Sc. in Electronic Engineering (2004, 2008), Ph.D. in Power Electronics from Queensland University of Technology (2013) Prior Roles: Lecturer at QUT (2013–2014), Postdoc at AAU (2014) Research Interests: Harmonic and EMI analysis in grid-tied converters High power density converter design Signal processing for converter modeling Reliability of power electronic systems Article Trends: Recent work emphasizes EMI/EMC in renewable energy systems, wide bandgap semiconductors (SiC/GaN), and reliability modeling for EVs and hydrogen production via electrolysis. Sub-fields include converter topologies, grid integration challenges, and AI-driven diagnostics. Scientific Awards: Equinor 2022 Prize (Denmark’s oldest engineering award) IEEE EMC Society Young Professional Award (2020) World’s Top 2% Highly Cited Scientist (Stanford, 2021–2025) Multiple best paper awards (IEEE, Applied Sciences, etc.) Grants & Editorial Roles: Recipient of grants from Innovation Fund Denmark (Supra-EMC project), Horizon Europe (SOLARIS), and industry partnerships. Serves as Area Editor for IEEE Transactions on Transportation Electrification , Associate Editor for IEEE Transactions on Power Electronics , and Editor-in-Chief of Circuit World Journal (2020–2025). Labs & Standards: Coordinator of the EMC Laboratory at Aalborg University. Member of IEC standardization Working Groups 6 and 8 (TC77A), focusing on EMC strategies for power grids.

David Fannonمشاهده پروفایل

دانشیار

• Sustainable Building Design
• High Performance Building Design
• Persistent Architecture
• +۵ مورد دیگر

David Fannon is an Associate Professor at Northeastern University, holding dual appointments in the School of Architecture and the Department of Civil and Environmental Engineering. He specializes in sustainable and high-performance building design, with a focus on persistent architecture, resilience, and human health in the built environment. Fannon earned his B-Arch from Rensselaer Polytechnic Institute (2005) and an MS in Building Science and Sustainability from UC Berkeley (2015). He is a licensed architect in New York and a LEED Accredited Professional. His research explores strategies for designing buildings that adapt to future needs, including grid-interactive efficient systems, climate-resilient infrastructure, and occupant-centric comfort models. Notable projects include DOE-funded studies on scalable building equipment performance and a Latrobe Prize-winning investigation into future-use architecture. Fannon also co-curated the 'DURABLE' exhibition on sustainable material innovations. Grants & Leadership: Co-PI on DOE grants for grid-interactive building technologies and Northeastern’s Building Resilience tools. Awards: Latrobe Prize (AIA College of Fellows). Professional Affiliations: American Institute of Architects, ASHRAE, SBSE, and BETES. Fannon advises students on sustainable building systems and co-op opportunities, mentoring graduates like Sowdamini Ponnada and Dane Brimmeier. His work bridges architecture, engineering, and policy to create resilient and adaptable built environments.

Eun Jeong Chaمشاهده پروفایل

دانشیار

• Structural Engineering
• Societal Risk & Hazard Mitigation
• Infrastructure Systems Risk Management
• +۳ مورد دیگر

Eun Jeong Cha is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. She holds a Ph.D. (2012) and M.S. (2009) from Georgia Institute of Technology, and a B.S. (2006) from Seoul National University. Her research focuses on risk-informed decision-making for infrastructure resilience under natural hazards, including hurricane risk assessment under climate change, interdependent infrastructure systems analysis, and seismic risk mitigation. Education: Ph.D. in Civil Engineering, Georgia Tech (2012) M.S. in Civil Engineering, Georgia Tech (2009) B.S. in Architectural Engineering, Seoul National University (2006) Her research interests span structural reliability, disaster risk management, and the integration of climate change impacts into infrastructure design. Key areas include hurricane risk modeling, interdependent infrastructure recovery, and socially-aware retrofit prioritization. She has received awards such as the ASCE/EMI Probabilistic Methods Committee Student Paper Award (2012) and is a Fellow of the Next Generation of Hazards and Disasters Researchers (2015). Dr. Cha leads the R4 Group, advancing methodologies for resilient infrastructure systems. She actively contributes to professional societies like ASCE, serving on committees for load combinations and climate adaptation. Her work bridges engineering, risk analysis, and policy to enhance community resilience against extreme events.

Marina Bockمشاهده پروفایل

مدرس

• Numerical Modelling
• Laboratory Experiments
• Metallic Structures
• +۳ مورد دیگر

Dr. Marina Bock is a Chartered Civil Engineer and Lecturer in Civil Engineering at Aston University's College of Engineering and Physical Sciences. She specializes in structural engineering with expertise in metallic structures, additive manufacturing, and numerical modeling. Currently accepting PhD students, her work bridges academic research and industry applications in sustainable construction. Her educational background includes: PG Cert in Building and Design and Construction Technology, University of Wolverhampton (2017-2018) PhD in Local Buckling and Web Crippling Response of Stainless Steels, Universitat Politècnica de Catalunya (2010-2015) MSc in Patch Loading of Hybrid Plate Girders, Universitat Politècnica de Catalunya (2004-2010) Dr. Bock's research integrates laboratory experiments and numerical modeling to advance metallic structural systems, with pioneering work in additive manufacturing for construction. Her investigations span stainless steel design code development, corrosion prevention in reinforced concrete using hydrogels, and cold-formed steel behavior. Recent projects focus on sustainable infrastructure solutions through novel composite materials. Analysis of her 2022-2025 publications reveals dominant themes in additive manufactured aluminum structures, cold-formed steel design methodologies, and sustainable paving materials for urban heat island mitigation. Her work consistently addresses practical engineering challenges through experimental validation and code-compliant design solutions. Scientific recognition includes: IStructE Academic Research Award Commendation (2021) for research on aluminum SHS/RHS under biaxial bending Dr. Bock has secured significant research funding including a Royal Society Research Grant (£20k, 2023) for additive manufactured Al7075 aluminum and Innovate UK funding (£437k) for UV-reflective resin-based paving. Previous internal projects (£20k) focused on structural aluminum applications. She supervises PhD research in additive manufacturing and corrosion prevention while maintaining industry collaborations. Her experimental work utilizes advanced university laboratories for structural testing, with collaborations spanning European research consortia and industrial partners. Current projects involve multi-institutional teams developing reusable structural systems and solar-energy-harvesting building envelopes.

Lingming Zhangمشاهده پروفایل

دانشیار

• Software Engineering
• Programming Languages
• Machine Learning
• +۶ مورد دیگر

Lingming Zhang is an Associate Professor at the Department of Computer Science, University of Illinois Urbana-Champaign, affiliated with the Grainger College of Engineering. His research focuses on the intersection of Software Engineering, Programming Languages, and Machine Learning, with a particular emphasis on automated program repair, compiler testing, and large language model (LLM) applications in software engineering. He has published over 100 papers, achieving an h-index of 50+, and holds an ACM Distinguished Member status. Research Interests: LLM-based software testing, repair, and synthesis Fuzzing of deep-learning libraries and compilers Open-source code LLMs (e.g., StarCoder2, Magicoder) with over 1M downloads Automated program repair systems (e.g., AlphaRepair, ChatRepair, Agentless) Recent Contributions: Developed TitanFuzz for coverage-guided compiler fuzzing Released Agentless , an LLM-based coding tool adopted by OpenAI and DeepSeek Proposed SWE-RL to enhance LLM reasoning via reinforcement learning Service Roles: Program Co-Chair for ASE 2025 and LLM4Code 2025 Associate Chair for OOPSLA 2024 and Area Chair for ICSE 2025/2026 Recipient of NSF CAREER Award and ACM SIGSOFT Early Career Award Lab/Teams: Develops open-source tools like UniAPR for efficient patch validation Active in releasing industry-adopted LLM-based software engineering tools

• Strategic Management
• Organizational Adaptation
• Dynamic Capabilities
• +۵ مورد دیگر

Dr. Alexander Engelmann is an Assistant Professor at the Institute for Strategy and Innovation Management (ISM) at WU Vienna University of Economics and Business. His research focuses on firm adaptation to environmental dynamics, particularly in mature industries transitioning to digital ecosystems. He examines strategy processes (dynamic capabilities, business model adaptation) and practices (framing, communication) to understand organizational resilience. Before academia, he worked in management consulting and as a certified Work & Organization psychologist. Education: PhD in Strategy and Innovation Management from WU Vienna University of Economics and Business Mag. rer. nat. (Master of Science equivalent) in Psychology from the University of Vienna Research Interests: Dynamic capabilities and SME innovation Ecosystem governance and platform strategies Sustainability-oriented business models Strategic framing in mature industries Recent work explores how automotive firms navigate platform-based transitions and how high-status OEMs maintain competitive edges. His 2025 Journal of Management Studies paper addresses innovation in politicized ecosystems, while 2024 Research Policy research introduced the 'slipstream strategy' concept. Team affiliations include collaboration with Prof. Werner H. Hoffmann, Dr. Georg Reischauer, and others in the ISM research group. Current projects focus on ecosystem resilience and stakeholder integration in sustainability innovation.

Patrick Beullensمشاهده پروفایل

دانشیار

• Operational Research
• Supply Chain Management
• Logistics and Reverse Logistics
• +۴ مورد دیگر

Dr. Patrick Beullens is an Associate Professor in Operational Research and Management Science at the University of Southampton's Southampton Business School. He specializes in applied research across ocean shipping, retail supply chains, logistics, and inventory control. His work integrates mathematical techniques such as stochastic processes, optimization algorithms, and game theory to address real-world challenges like environmental performance in shipping and food waste reduction. Key roles include Principal Investigator on EC-funded projects (e.g., SEABILLA, LOGMAN) and supervision of PhD students like Fangsheng Ge. Current projects focus on maritime emission abatement and economic ship speed models. He teaches Supply Chain Management, Risk Management, and Optimization courses. Research Groups: CORMSIS, Southampton Marine and Maritime Institute, Supply Chain Excellence Centre. Grants: Over £200k from Shell and SMMI for PhD scholarships, MoD-funded inventory projects, and EU initiatives. His research spans maritime economics, reverse logistics, and decision-making under risk. Collaborations include BAE Systems, EDF Energy, and international institutions like the Joint Research Centre.

• Longitudinal Modeling
• Psychometric Modeling
• Developmental Cognitive Neuroscience
• +۳ مورد دیگر

Ethan McCormick is an Assistant Professor in the School of Education at the University of Delaware, specializing in longitudinal and psychometric modeling. He holds a Ph.D. in Psychology from the University of North Carolina at Chapel Hill (2020) and a B.S. in Biochemistry from the University of Arkansas (2013). His research focuses on integrating short-term and long-term longitudinal models to study behavioral and cognitive changes across the lifespan, with recent emphasis on educational data analysis and nonlinear random effects modeling. He is a Resident Faculty member of the University of Delaware’s Data Science Institute and previously served as an Assistant Professor of Methodology & Statistics at Leiden University (2022–2024). Dr. McCormick’s grants include the NWO Veni SSH Grant (2024–2027) for tracking educational outcomes via statistical modeling and the Jacobs Foundation Fellowship (2024–2026) for studying complex growth in math ability. His work bridges methodological rigor with applied neuroscience, examining brain-behavior relationships in developmental contexts through large-scale collaborations. Professional Experience : Assistant Professor, University of Delaware (2024–present); Assistant Professor, Leiden University (2022–2024) Key Research Themes : Longitudinal modeling, time series analysis, psychometrics, developmental cognitive neuroscience Awards : NWO Veni SSH Grant, Jacobs Foundation Fellowship His recent articles emphasize improving time-series methodologies, addressing limitations of two-time-point studies, and advancing models for asymmetric temporal dynamics. He collaborates internationally on projects simulating developmental datasets and analyzing neural correlates of behavior.

• Computer Networks
• Internet of Things (IoT)
• Sensor Networks
• +۷ مورد دیگر

Jorge Garcia Vidal is a Professor in the Department of Computer Architecture at the School of Computer Science, Universitat Politècnica de Catalunya (UPC). He is a key member of the CNDS - Computer Networks and Distributed Systems research group, with a sustained record of research activity from the late 1980s to the present, including publications projected into 2025. His work bridges theoretical network performance analysis and applied IoT systems, particularly in environmental monitoring. His research interests center on Computer Networks , Internet of Things (IoT) , Sensor Networks , and Data Quality in IoT . He has made significant contributions to ATM network performance, medium access control, and traffic modeling. More recently, his focus has shifted to air quality monitoring using low-cost sensor networks, employing techniques in Graph Signal Processing , Machine Learning , and Anomaly Detection to improve data reliability and estimate pollutants like black carbon. The recent article trends show a strong emphasis on developing data-driven frameworks, virtual sensors, and robust models for environmental IoT platforms. His work integrates advanced signal processing and machine learning to address the challenges of heterogeneous, low-cost sensor data in urban settings. His scientific achievements have been recognized with awards including the Premio Extraordinario de Doctorado and the Premio Mejor Tesis Doctoral . He has advised several doctoral students, including Pau Ferrer-Cid, David Fusté Vilella, Steluta Iordache, and Julian David Morillo Pozo. He is actively involved in numerous competitive and non-competitive R&D projects, such as those related to digital twins, IoT platforms for smart cities, and nature-based urban solutions, often funded by state and regional programs. He collaborates extensively within UPC and with external partners. His research is conducted primarily within the CNDS research group at UPC, a collaborative environment focused on computer networks and distributed systems, with connections to broader initiatives in smart cities and environmental monitoring.

Lokukaluge Prasad Pereraمشاهده پروفایل

استاد

• Maritime Technology
• Offshore Systems
• Advanced Data Analytics
• +۶ مورد دیگر

Lokukaluge Prasad Perera is a Professor in Maritime Technology at UiT The Arctic University of Norway and a Senior Research Scientist in Smart Data at SINTEF Digital . He holds a BSc in Mechanical Engineering from Oklahoma State University (1999), MSc in Systems & Controls from the same institution (2001), and a PhD in Naval Architecture and Marine Engineering from Technical University of Lisbon (2012). His research focuses on Maritime and Offshore Systems , Advanced Data Analytics , Autonomous Navigation , Energy Efficiency , and Digital Twin Applications . He has published over 100 peer-reviewed papers and was recognized in the World's Top 2% Scientists (2021-2022) by Stanford University. Key professional experiences include roles at SINTEF Ocean (2014–2017), Center for Marine Technology and Engineering in Portugal (2008–2012), and Wärtsilä Finland (2012–2014). He has also held academic positions at Naval & Maritime Academy and Ocean University of Sri Lanka . His work addresses challenges in emission reduction , renewable energy integration , and safety-critical systems for maritime operations. Current projects emphasize trustworthiness of autonomous ships and data-driven decision frameworks for energy efficiency.

• Machine Learning
• Data Mining
• GIS Modeling
• +۴ مورد دیگر

Usman Ali is an Assistant Professor and Adjunct Lecturer at the School of Mechanical and Materials Engineering, University College Dublin. He holds a Ph.D. in 'A data-driven GIS-based approach for multi-scale residential building energy modeling' (2020) from UCD and an M.Sc. in Computer Science from Lahore University of Management Science (2013). His research focuses on machine learning, GIS modeling, urban building energy systems, and energy performance certification. He has contributed to projects like the U.S.-Ireland R&D initiative on building stock classification and energy prediction, and collaborated with the Sustainable Energy Authority of Ireland (SEAI) on energy policy research. His work emphasizes data-driven solutions for energy efficiency, urban sustainability, and policy decision-making. Education: Ph.D., University College Dublin (2020) M.Sc., Lahore University of Management Science (2013) B.Sc., International Islamic University Islamabad (2008) Research emphasizes machine learning applications in energy modeling, GIS integration for urban planning, and energy policy frameworks. His recent work includes synthetic building datasets, occupancy-based energy analysis, and uncertainty quantification in energy systems.