جست‌وجوی استاد و پژوهشگر

Phillip B. Levineمشاهده پروفایل

استاد

• Economics of Education
• Public Policy Analysis
• Fertility and Demographics
• +۵ مورد دیگر

Phillip B. Levine serves as the Katharine Coman and A. Barton Hepburn Professor of Economics at Wellesley College, with active affiliations as a Nonresident Fellow at the Brookings Institution and Research Associate at the National Bureau of Economic Research (NBER). His academic home is firmly within Wellesley's Department of Economics, where he teaches core statistics and econometrics courses alongside specialized policy-focused seminars. Levine's research spans critical social policy domains including fertility economics, college pricing systems, and childhood poverty interventions. His methodological signature involves rigorous statistical analysis of real-world policy impacts, particularly regarding disadvantaged youth. Key contributions include seminal work on abortion policy effects, retirement behavior during economic crises, and the disconnect between college sticker prices and actual affordability. His influential publications include the books Sex and Consequences: Abortion, Public Policy, and the Economics of Fertility , Targeting Investments in Children (co-edited), and A Problem of Fit: How the Complexity of College Pricing Hurts Students . Recent scholarship (2022-2025) reveals intensifying focus on declining US fertility rates, racial wealth gaps in college access, and post-pandemic birth trends, with frequent appearances in top economics journals. As founder and CEO of MyinTuition Corp., Levine bridges academic research and practical application through a simplified financial aid calculator now adopted by dozens of institutions. His policy commentary reaches broader audiences via New York Times , Washington Post , and major broadcast networks, demonstrating exceptional translation of complex economics into public discourse.

Andreas Langenohlمشاهده پروفایل

استاد

• Economic Sociology
• Financial Markets
• Temporal Sociology
• +۷ مورد دیگر

Andreas Langenohl is a full Professor at the Institute of Sociology , Justus Liebig University Giessen , holding the Chair in General Comparative Studies. He has held fellowships at institutions like the Kulturwissenschaftliches Kolleg (Konstanz) and the Collaborative Research Center in Freiburg, and is an Extra-Ordinary Professor at North-West University (South Africa). PhD in Social Sciences (1999, magna cum laude ), Justus Liebig University Giessen M.A. in Sociology and Slavic Philology (1996, with highest honors ) His research spans economic sociology , financial market temporality , security studies , and cultural foundations of integration . He explores intersections of finance and politics, infrastructural security, and socio-temporal dynamics in economic theory. Recent work focuses on geoeconomic hegemony during the Ukraine conflict, pandemic security governance, and decentralized finance algorithms. Scientific Awards : Karl-Polanyi-Award (2010) for economic sociology Wolfgang-Mittermaier-Award (2007) for academic teaching Knowledge Unlatched Open Access selection (2020) Grants : He has secured multiple DFG and foundation grants for projects on financial infrastructures, securitization, and EU-Russia relations, including collaborations with institutions like Cornell University and the Einaudi Center for European Studies. Labs & Teams : Langenohl leads projects within the Collaborative Research Centre/Transregio 138 Dynamics of Security (Giessen & Marburg) and contributed to the Center of Excellence Cultural Foundations of Integration (Konstanz).

Waël Jaafarمشاهده پروفایل

استاد

• Wireless Communications
• 5G/6G Networks
• Space Telecommunications
• +۷ مورد دیگر

Waël Jaafar is a Professor in the Department of Software Engineering and IT at École de technologie supérieure (ETS), a constituent school of the Université du Québec system in Montreal, Canada. His research spans multiple critical domains in modern communications and computing infrastructure, with a particular focus on next-generation wireless networks and intelligent systems. Dr. Jaafar holds a B.Eng. from Sup'Com Tunisie, and both M.Sc.A. and Ph.D. degrees from Polytechnique Montréal. His academic background provides a strong foundation for his interdisciplinary research that bridges theoretical concepts with practical engineering solutions. His research interests center around wireless communications systems, with particular emphasis on 5G/6G networks, UAV communications, space telecommunications, and machine learning applications for networking. He has developed significant expertise in federated learning techniques for distributed networks, cybersecurity applications for next-generation mobile systems, and edge computing architectures. His work frequently explores the intersection of communication theory, artificial intelligence, and network security, with applications ranging from industrial IoT to public safety communications. Analysis of his recent publications reveals a strong trend toward integrating artificial intelligence with wireless networking infrastructure, particularly focusing on UAV-assisted communications, federated learning approaches for distributed networks, and security enhancements for 5G/6G systems. His research demonstrates increasing emphasis on practical implementation challenges including energy efficiency, communication overhead reduction, and reliability in non-ideal network conditions. As an academic supervisor, Dr. Jaafar actively mentors numerous graduate students across various projects. He currently supervises doctoral candidates working on blockchain-enhanced security for 5G networks, green network slice orchestration, and federated learning approaches for Open RAN architecture. His master's students are engaged in diverse topics including LiDAR-based power line monitoring, multimodal behavioral authentication, and 5G/6G security using AI techniques. Dr. Jaafar is affiliated with two prominent research laboratories at ETS: LASI (Computer System Architecture Research Laboratory) and LACIME (Communications and Microelectronic Integration Laboratory). At LASI, he contributes to research in AI-based systems engineering, resource orchestration in edge/cloud environments, and intelligent network design. Through LACIME, he engages with broader communications research spanning from microelectronic components to complex communication systems, with particular focus on wireless networks and signal processing applications.

• Open Innovation
• Technology Transfer
• Food Industry Innovation
• +۴ مورد دیگر

Barbara Bigliardi is an Associate Professor at the Department of Engineering and Architecture, University of Parma, with national scientific qualification for full professor in Economic-Management Engineering (SSD ING-IND/35). She serves as President of the Management Engineering Program at University of Parma and Director of Bachelor's/Master's programs at University of San Marino, co-leading double-degree initiatives between the two institutions. Over 100 publications (57 SCOPUS-indexed) with H-index=20 Editorial roles: Cambridge Scholars Publishing (2019), MDPI Sustainability, Sci, European Journal of Innovation Management Key research areas: Open Innovation, Technology Transfer, Food Industry Innovation, Industry 4.0, Supply Chain Sustainability Recent Publications (2024-2025) demonstrate leadership in: Industry 4.0 integration with circular economy AI applications in public administration and healthcare Digitalization of food supply chains Green startup resource orchestration Simulation-based optimization in remanufacturing Sustainable additive manufacturing Scientific Recognition : 2005 Emerald Highly Commended Award 2013 Most Cited Paper in Trends in Food Science & Technology 2019 Highly Cited Paper in Review of Policy Research Research Leadership includes: National Observatory on Start-ups (President since 2021) National Observatory on Reputation (Vice President since 2019) INAIL-funded mobile risk assessment systems (2018-2020) INAF space technology transfer projects (2018-present) Academic Contributions : Supervised over 300 theses Deputy Coordinator of Industrial Engineering Doctoral Program Director of Management Engineering Programs (Parma & San Marino) Founder of academic spin-offs: Sistemi per il marketing di contenuto S.r.l. (2016-present), Univenture SrL (2006-2010)

Shuangshuang Jinمشاهده پروفایل

دانشیار

• High-Performance Computing
• Parallel Computing
• Distributed Computing
• +۶ مورد دیگر

Dr. Shuangshuang Jin is an Associate Professor in the School of Computing with a joint appointment in the Department of Electrical and Computer Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. Previously, she served as a Senior Research Scientist at Pacific Northwest National Laboratory. Her educational background includes a Ph.D. in Computer Science (2007), M.S. in Computer Science (2003) from Washington State University, and a B.S. in Computer Science (2001) from Wuhan University. Ph.D., 2007 - Washington State University, Computer Science M.S., 2003 - Washington State University, Computer Science B.S., 2001 - Wuhan University, Computer Science Dr. Jin specializes in high-performance computing (HPC), distributed and parallel computing, general-purpose computation on graphical processing units (GPGPU), and HPC-based big data analysis, machine learning, scientific computation, and visualization. Her research focuses on applying these technologies to electrical engineering (power and energy systems, power electronics), automotive engineering, systems biology, and computer graphics. She leads the High-Performance Computing Enabled Science and Engineering (HPCeSE) Lab, where she supervises six PhD students working on HPC implementations for power system dynamic simulation, GridPACK application development, data-driven model-based smart control of power electronics converters, and other cutting-edge projects. Her recent publications demonstrate expertise in accelerating power system simulations, PV inverter reliability assessment, edge computing for power systems, and virtual prototyping of vehicle powertrain systems. The research trends show increasing focus on GPU acceleration, real-time simulation capabilities, and integration of HPC with emerging power system challenges. Junior Faculty Excellence in Teaching award (2021) Churchill Carter Fellowship (2022-2023) Zucker Graduate Education Center PhD Grant (2023) Doctoral Dissertation Completion Award (2023-2024) Outstanding Masters Student in Computer Science award (2022) Dr. Jin has successfully secured multiple grants from DOE, DOD, and other agencies for projects including 'Vehicle Propulsion Digital Twins', 'GridPACK-Wind', and 'Tool for Reliability Assessment of Critical Electronics in PV (TRACE-PV)'. She has advised numerous PhD and Master's students who have gone on to positions at national laboratories and industry. Her HPCeSE Lab maintains strong connections with Pacific Northwest National Laboratory, Fermi National Accelerator Laboratory, and other research institutions, providing students with valuable internship opportunities. Dr. Jin leads the High-Performance Computing Enabled Science and Engineering (HPCeSE) Lab at Clemson University, which focuses on developing optimized HPC-based parallel programming algorithms and architectures to solve complex scientific and engineering domain problems. The lab works on smart grid modeling and simulation, power electronics reliability assessment, ground vehicle systems prototyping, and advanced grid analytics, utilizing OpenMP, MPI, Pthreads, and CUDA/OpenCL on various computing platforms.

Tom Matthewsمشاهده پروفایل

دانشیار

• Global Environmental Change
• Macroecology
• Biogeography
• +۵ مورد دیگر

Dr. Tom Matthews is an Associate Professor at the University of Birmingham , affiliated with the School of Geography, Earth and Environmental Sciences . His research focuses on global environmental change using macroecological , macroevolutionary , and biogeographical approaches , with a particular emphasis on island systems and bird communities . Education: DPhil, University of Oxford MSc (Distinction), University of Oxford BSc First Class Honors, University of Birmingham Research interests span island biogeography , conservation biogeography , and functional diversity in fragmented landscapes. His work investigates the impacts of human-driven extinctions , habitat fragmentation , and climate change on island ecosystems. Recent publications analyze bioTIME databases , AVONET datasets , and anthropogenic extinction cascades , highlighting trends in functional and phylogenetic diversity loss . Scientific contributions include authorship of two books: Species–Area Relationships (Cambridge University Press) and Island Biogeography (Oxford University Press). Awards include the NERC scholarship , Royal Geographical Society Awards , and Oxford’s Vice Chancellor’s Award . He supervises doctoral researchers in macroecology , island conservation , and global change biology , while teaching undergraduate modules in statistical ecology and conservation practices .

• Environmental Microbiology
• Antibiotic Resistance
• Microbial Communities
• +۲ مورد دیگر

Robin Slawson is a Professor and Interim Chair of the Department of Biology at Wilfrid Laurier University's Faculty of Science in Waterloo, Ontario. With expertise in antibiotic resistance , microbial communities , and waterborne pathogens , he leads the Laurier Environmental Microbiology Laboratory, which serves as the Pathogen Resilience Platform for the Southern Ontario Watershed Consortium. Education : PhD in Environmental Microbiology (University of Guelph, 1993), MSc in Biology (University of Waterloo, 1989) His research focuses on microbial water quality , particularly the environmental persistence of antibiotic-resistant pathogens. Key projects include studying biofilm formation in water distribution systems, constructed wetland bioremediation , and plant-microbe interactions in wetland root systems. Prior to Laurier, he worked as a research assistant professor at the University of Waterloo on microbiological aspects of drinking water treatment. Recent publications highlight trends in waterborne pathogen dynamics , antibiotic resistance in wetlands , and biofilter optimization for contaminant removal. His work integrates ecological modeling , microbial community analysis , and water treatment engineering . The lab's initiatives include the Southern Ontario Watershed Consortium's Pathogen Resilience Platform, investigating microbial responses to environmental stressors in drinking water systems and wetlands.

Frances Stewartمشاهده پروفایل

استادیار

• Wildlife Biology
• Conservation and Management
• Ecological Forecasting
• +۳ مورد دیگر

Frances Stewart is an Assistant Professor and Canada Research Chair in Northern Wildlife Biology at Wilfrid Laurier University's Faculty of Science, Department of Biology. She leads the WILDlab research group focusing on applied wildlife biology in northern regions through field projects, modeling, and community collaboration. She holds a PhD in Environmental Studies from the University of Victoria, and BScH and MSc degrees in Ecology from the University of Guelph. Her research specializes in quantifying wildlife responses to landscape changes using camera trapping, ecological forecasting, and spatial modeling. Current projects investigate species co-occurrence, habitat selection, and biodiversity conservation in Canada's rapidly changing northern ecosystems, with emphasis on integrating Indigenous knowledge. Publications (2019-2024) demonstrate strong focus on wildlife conservation, climate change impacts, and ecological modeling. Dominant themes include boreal caribou conservation, landscape connectivity, anthropogenic disturbance effects, and predictive ecology frameworks. Methodologically, her work combines field data with advanced statistical approaches to inform conservation decisions. Awards and Honors: Canada Research Chair in Northern Wildlife Biology Wilburforce Leader in Conservation Science Canadian Society of Ecology and Evolution Conference Presentation Award (2018) Advising and Grants: Supervises 2 postdoctoral fellows, 3 PhD candidates, and 4 MSc students Secured funding from NSERC, Weston Foundation, POLAR, and MITACS Emphasizes professional development through conference attendance and publication support Lab and Team: Leads the WILDlab (Wildlife Integration for Land use Decisions Lab) with active field projects across northern Canada. The team collaborates with government agencies (Natural Resources Canada), Indigenous communities, and international researchers to address wildlife management challenges in changing northern ecosystems.

Anuj Pathaniaمشاهده پروفایل

استادیار

• Low Power Design
• Sustainable Systems
• Electronic Design Automation
• +۴ مورد دیگر

Anuj Pathania serves as an Assistant Professor in the Parallel Computing Systems (PCS) group within the Informatics Institute at the University of Amsterdam's Faculty of Science. His research pioneers sustainable computing systems operating under severe power, thermal, and reliability constraints, with significant contributions to energy-efficient hardware design and embedded systems. Education: PhD in Computer Science (2018), Karlsruhe Institute of Technology MSc in Computer Science (2012), National University of Singapore B.Tech in Computer Science (2009), Maharaja Agrasen Institute of Technology Pathania's research centers on low-power design and sustainable systems for constrained environments, with particular expertise in thermal management of 3D-stacked architectures and energy-efficient machine learning inference . His work bridges electronic design automation with real-world reliability challenges, developing novel power budgeting techniques like T-TSP that incorporate transient temperature effects ignored by conventional methods. Current projects include EU-funded initiatives on energy labeling for digital services, addressing ecological impacts through technological, behavioral, and legal frameworks. His publication trajectory reveals a strategic evolution toward zero-waste computing , with recent work (2023-2025) focusing on hardware-software co-design for edge AI, energy modeling across computing continua, and parameter-efficient neural adaptation. Key themes include thermal-aware scheduling for S-NUCA many-cores, cooperative processor utilization in heterogeneous systems, and sustainability metrics for digital services. Scientific Recognition: Best Paper Award Nomination at IEEE Computer Society Annual Symposium on VLSI 2023 for 3D-TTP power budgeting technique Pathania actively mentors 4 PhD students (Ehsan Aghapour, Saeedeh Baneshi, Sudam Wasala, Yixian Shen) and has successfully supervised 5 Master's theses (including Cum Laude defenses by Joris op ten Berg and Jurre Wolff). His research is supported by major grants including Energy Labels for Ecologically Sustainable Digital Services (2023-2024) and Towards Zero-Waste Computing (2021-2025), developing simulation frameworks like HotSniper and CoMeT for thermal analysis. The PCS group maintains strong industry collaborations with ARM and NVIDIA, particularly through tools like ARM-CO-UP for heterogeneous processor utilization.

Kai Hobergمشاهده پروفایل

استاد

• Supply Chain Analytics
• Inventory Modeling
• Digital Transformation in Supply Chains
• +۷ مورد دیگر

Prof. Dr. Kai Hoberg is a Professor of Supply Chain and Operations Strategy at Kühne Logistics University (KLU) since 2017, where he also served as Department Head of the Operations and Technology Department from 2017 to 2023. Prior to joining KLU as an Associate Professor in 2012, he was an Assistant Professor at the University of Cologne (2010–2012) and a strategy consultant at Booz & Company (2006–2010). His research interests span supply chain analytics and technology integration inventory modeling for intermittent demand digital transformation in operations management additive manufacturing in after-sales services human-machine interaction in forecasting pharmaceutical supply chain challenges IoT-enabled vendor-managed inventory behavioral aspects of operations . Recent publications highlight empirical studies leveraging machine learning for semiconductor order fulfillment, typologies for additive manufacturing adoption, and process mining applications in SCM. His work frequently combines theoretical modeling with real-world validation, including partnerships with firms in food manufacturing, postal services, and medical devices. He earned a PhD in Supply Chain Management from Münster University (2006) and a Diplom in Industrial Engineering from Paderborn University and Monash University. He has held visiting scholar roles at institutions like Cornell, NUS, Oxford, and Stellenbosch.

Vera Hemmelmayrمشاهده پروفایل

دانشیار

• Operations Research
• Logistics
• Supply Chain Management
• +۷ مورد دیگر

Associate Professor Vera Hemmelmayr is affiliated with the Institute of Transport Economics and Logistics at the Vienna University of Economics and Business . Her research spans Operations Research , Logistics , Supply Chain Management , and Circular Economy , with a focus on vehicle routing , city logistics , and metaheuristics . She has led major projects like CREATE_AT (circular timber supply chains) and Sustainable Urban Deliveries . Research trends in her recent work include real-time optimization algorithms for railway disruptions, sustainable urban freight solutions , and integrated railcar fleet management . Her publications often bridge transport policy with computational methods , emphasizing green supply chains and smart city logistics . 2025: Preis für innovative Lehre 2017: Best Application Paper Honorable Mentions (IIE Transactions) 2012: Dr.-Maria-Schaumayer-Habilitationsstipendium 2012: WU Visiting Fellow 2005: Prämierung ausgezeichneter Diplomarbeiten She has supervised research projects on topics including two-echelon delivery systems , railway disruption management , and digital transformation in logistics, while contributing to policy frameworks for circular economy in transportation.

• Offshore Renewable Energy Systems
• Wave Power Farm Modeling
• Extreme Weather Resilience
• +۳ مورد دیگر

Malin Göteman is an Associate Professor at the Department of Electrical Engineering, Uppsala University. Her research focuses on offshore renewable energy systems, particularly modeling and optimizing large-scale wave power farms and analyzing their resilience to extreme weather conditions. Deputy Director, Center for Natural Disaster Studies (CNDS), Sweden Specialized in wave energy converter dynamics and hybrid offshore energy systems Collaborates on SPH-based numerical wave-current tanks and CFD validation Research Interests: She investigates wave energy farm interactions, hydrodynamic performance of floating platforms, extreme wave load modeling, and survivability strategies using machine learning. Her work spans renewable energy integration, coastal protection, and power system stability under extreme conditions. Recent Publications: Her 2025 articles address resilience of offshore energy systems to metocean extremes and reduced-order modeling via Bayesian design. Earlier works (2023-2024) cover SPH validations for floating wind-wave systems, neural network survivability approaches, and hybrid energy-water supply solutions. Collaborations: She works with international teams on projects like Lysekil wave energy test sites and DeepCwind floating platforms. Key areas include grid-connected wave parks, multi-fidelity surrogate modeling, and comparative studies on offshore wind dependencies.

Karen Abbottمشاهده پروفایل

استاد

• Theoretical Ecology
• Population Ecology
• Community Ecology
• +۶ مورد دیگر

Karen Abbott is a Professor and Associate Chair in the Department of Biology at Case Western Reserve University, specializing in theoretical population and community ecology. Her research employs mathematical modeling to investigate species distributions, abundance fluctuations, and ecological pattern formation. Her primary research interests include: Theoretical Population and Community Ecology Spatial Synchrony in Forest Insect Outbreaks Plant-Herbivore Dynamics and Inducible Defenses Evolutionary Responses to Climate Change Invasive Species Spread Mechanisms Ecological Time Series Analysis Recent publications (2023-2025) reveal strong emphasis on spatial ecology, transient dynamics, and network theory applications. Key trends involve modeling synchrony in ecological oscillators, life history effects on consumer-resource systems, and environmental stochasticity impacts on population cycles. Her work frequently addresses how new biologically-motivated models improve understanding of unexplained ecological phenomena. Scientific awards: None mentioned in provided text. Research funding includes the eMB Collaborative Research project (2023) on mathematical approaches for spatial synchrony in ecology. While specific student advisees aren't listed, her faculty role suggests graduate and undergraduate mentoring. Her lab maintains active research in theoretical ecology as evidenced by continuous publication output. She leads the Abbott Lab (https://abbottlab480702554.wordpress.com/), which focuses on mathematical modeling of ecological systems, investigating spatial synchrony, plant-herbivore interactions, climate change effects, and transient dynamics in population cycles.

Steve Bokerمشاهده پروفایل

استاد

• Quantitative Psychology
• Structural Equation Modeling
• Longitudinal Data Analysis
• +۵ مورد دیگر

Steve Boker is a Professor of Psychology at the University of Virginia, directing the Human Dynamics Laboratory and the LIFE Academy. His research focuses on quantitative psychology, structural equation modeling (SEM), and dynamical systems analysis for longitudinal and time series data. Dr. Boker has pioneered methods like Differential Structural Equation Modeling (dSEM) , Latent Differential Equations (LDE) , and the Windowed Cross-Correlation (WCC) method. He co-developed the widely used OpenMx SEM software framework and invented the RAMpath method for path diagram analysis. Key Research Areas: Dyadic conversation dynamics, adaptive systems in addiction, motion symmetry in social interactions, maternal-infant coupling, and resilience modeling through longitudinal data. Awards & Honors: 2024 Distinguished Researcher Award (UVA) 2020 Saul Sells Award for lifetime achievement in multivariate psychology Fellow, American Psychological Association Fellow, Association for Psychological Science His methodological contributions span over 150 publications, with recent work emphasizing nonlinear dynamics, surrogate data validation, and complexity metrics like the Tangle index for short time series analysis.

• Digital Communications
• Signal Processing
• Networking
• +۳ مورد دیگر

Mahsa Derakhshani is a Senior Lecturer (equivalent to Associate Professor) in Digital Communications at Loughborough University's Wolfson School of Mechanical, Electrical and Manufacturing Engineering. She leads research in the Signal Processing and Networks Research Group (SPNRG) and serves as an Associate Editor for the IET Signal Processing Journal. Her academic journey includes a PhD from McGill University (2013), followed by postdoctoral roles at the University of Toronto and Imperial College London. Key awards include the Royal Academy of Engineering/The Leverhulme Trust Research Fellowship (2020-21) and NSERC Postdoctoral Fellowships (2015-2017). Research interests focus on digital communications, machine learning for signal processing, wireless networks, and reinforcement learning applications. Recent work addresses challenges in satellite communications, OTFS modulation, and opto-physiological monitoring. She has authored over 70 publications spanning topics like NOMA systems, MIMO optimization, and edge-assisted live streaming. Education: PhD (McGill, 2013), MSc (Sharif University, 2008), BSc (Sharif University, 2006) Affiliations: IEEE Senior Member, IET Member, Fellow of the Higher Education Academy Grants & Funding: Leverhulme Trust, Royal Academy of Engineering, NSERC Labs/Teams: Active in SPNRG and collaborates on projects involving 5G/6G networks, satellite systems, and biomedical signal processing. Current research emphasizes AI-driven solutions for communication networks and wearable health monitoring technologies.