جست‌وجوی استاد و پژوهشگر

• Inclusive Design
• Ergonomics
• Human Factors
• +۷ مورد دیگر

Professor Patrick Langdon serves as Director of the Transport Research Institute at Edinburgh Napier University's School of Computing Engineering and the Built Environment (SEBE). He holds the position of Professor of Engineering Design, Transportation, and Inclusion and leads Ethics and Integrity initiatives for both SEBE and the School of Computing. With over 20 years of experience as an Experimental Psychologist, Langdon has established himself as a leading researcher at the intersection of cognitive science, artificial intelligence, and transportation engineering. Langdon's research spans multiple interconnected domains focused on human-centered design in transportation systems. His work centers on inclusive design principles for autonomous vehicle interfaces, human-machine interaction in complex environments, and the application of cognitive science to transportation challenges. Key research themes include designing for diverse user populations, predicting driver intent using Bayesian methods, enhancing situation awareness in multitasking scenarios, and developing ethical frameworks for human participation in technology research. His multidisciplinary approach bridges engineering, psychology, and computer science to address real-world transportation challenges. Analysis of Langdon's publication record reveals a consistent focus on human factors in automated transportation systems, with increasing emphasis on sustainable and inclusive mobility solutions. His work shows progression from foundational research in inclusive design to cutting-edge applications in autonomous vehicles and hydrogen-electric aviation. The publications demonstrate strong methodological diversity, incorporating experimental studies, theoretical frameworks, and real-world implementation projects that address both technical and social dimensions of transportation technology adoption. Langdon's research activities are supported by significant funding from diverse sources including Innovate UK, Engineering and Physical Sciences Research Council, European Commission, and industry partners. His leadership extends to major collaborative projects such as the HEART (Hydrogen Electric and Automated Regional Transportation) initiative, CAVForth automated bus service expansion, and research on inclusive kerb design for urban environments. These projects demonstrate his ability to translate theoretical research into practical transportation solutions with real-world impact. As Director of the Transport Research Institute, Langdon oversees a multidisciplinary team working at the forefront of transportation innovation. His research group focuses on the integration of cognitive science, artificial intelligence, and engineering design to create transportation systems that accommodate diverse user needs while advancing sustainable mobility solutions. The institute serves as a hub for collaboration between academia, industry, and government agencies working to shape the future of transportation.

Keith Evansمشاهده پروفایل

دانشیار

• Marine Resource Economics
• Environmental Economics
• Fisheries Economics
• +۱۲ مورد دیگر

Keith Evans is an Associate Professor of Marine Resource Economics in the School of Economics at the University of Maine, part of the College of Natural Sciences, Forestry and Agriculture. He is affiliated with the Maine Agricultural and Forest Experiment Station and conducts interdisciplinary research at the intersection of economics, marine policy, and environmental science. His work is supported by grants from NOAA, NSF, and USDA. Education: Ph.D., Economics, Iowa State University B.A., Economics (with Honors), California State University, Chico Keith Evans specializes in environmental and natural resource economics, with a strong focus on marine systems. His research explores how climate change, management policies, and economic forces shape the seafood economy. Key areas include rights-based fisheries management, cooperation in commons, marine aquaculture (particularly through the SEANET project), non-market valuation, and consumer preferences for seafood. He employs applied econometric and microeconomic models to analyze fisher behavior, cross-fishery dynamics, and policy effectiveness. His recent publications reflect a consistent theme in marine resource economics, focusing on valuation methods, aquaculture development, and fisheries resilience. These works employ discrete choice experiments, hedonic models, and bioeconomic simulations to understand human-environment interactions in coastal systems. Scientific Awards and Recognitions (of his students): Most Outstanding Graduate Student in School of Economics, 2021 (Nick Alvarez) Most Outstanding Graduate Student in School of Economics, 2019 (Olga Bredikhina) Most Outstanding Graduate Student in School of Economics, 2017 (Christina Robichaud) Best Paper at the Vietnam Economist Annual Meeting, 2018 (Nguyen Dinh Tuan Vuong) Keith Evans actively mentors graduate students through research assistantships funded by his grants, including projects on the Gulf of Maine northern shrimp fishery and the SEANET aquaculture initiative. He accepts students from both Economics and Ecology and Environmental Sciences programs. Funding for students comes from research grants, fellowships (including NSF GRFP and EPA Fellowships), and competitive graduate assistantships that cover stipends, tuition, and health insurance. He leads research within the Sustainable Ecological Aquaculture Network (SEANET), an interdisciplinary project aimed at developing a socially and ecologically sustainable aquaculture industry in Maine. His lab investigates topics such as the impact of aquaculture on coastal property values, consumer preferences for labeled seafood, and adaptive management strategies for climate-affected fisheries.

• Management
• Organizational Change
• Human Resource Management
• +۳ مورد دیگر

Birthe Kåfjord Lange is an Associate Professor at the Department of Leadership and Organization, School of Communication, Leadership and Marketing, Kristiania University of Applied Sciences. Her primary teaching focus is on management disciplines, with extensive experience in executive education programs. She specializes in Change Management , Managerial Discretion , and Work-Integrated Learning , emphasizing the development of managers and organizational ambidexterity. Her research explores themes such as strategic adaptation during crises, digital transformation challenges, and the psychological dimensions of workplace change. Recent work includes studies on organizational ambidexterity in sports organizations and the role of mentorship in leadership development. Key publications span topics like uncertainty management in the 'New Normal', HR strategies for evolving work environments, and time management in Norwegian managerial roles. Her 2020-2025 works highlight a trend toward analyzing modern workplace dynamics and leadership challenges in hybrid/digital settings. Lange has no listed scientific awards but maintains active research output with 15+ publications since 2002. No grants or advising activities are explicitly mentioned in the provided data.

Vincent Baxمشاهده پروفایل

مدرس

• Coastal Defense
• Biodiversity Conservation
• Spatial Modeling
• +۳ مورد دیگر

Vincent Bax is a lecturer-researcher in Human Geography at HZ University of Applied Sciences since April 2020, affiliated with the Building with Nature research group. He holds a Master's in Environmental Sciences from Wageningen University (2015). Prior experience includes roles as researcher/lecturer at Peru's Universidad de Ciencias y Humanidades and consultant at Colombia's International Center for Tropical Agriculture, focusing on biodiversity-economy interactions in tropical regions. His current research explores societal perceptions of nature-based coastal defenses and socio-ecological adaptation strategies. Education: MSc Environmental Sciences, Wageningen University (2015). Research interests include spatial modeling of land-use change in the Amazon/Andes, biodiversity conservation prioritization, and community-driven ecosystem management. Notable projects involve the 'Outside the dike measures' for low-dynamic coastal areas, Polder2C's transnational climate adaptation initiative, and SARCC's sea-level rise mitigation efforts. Publications span coastal defense policy, floating solar infrastructure feasibility, and deforestation dynamics in conflict zones. He has contributed to projects like the Rammegors tidal restoration and Oostvoornse lake photovoltaic assessment.

FERNANDO RAFAEL PARDO SECOمشاهده پروفایل

استاد

• Electronics Engineering
• Computer Engineering
• Signal Processing
• +۳ مورد دیگر

Fernando Rafael Pardo Seco is a Professor at the Department of Electronics and Computing, affiliated with the Higher Technical School of Engineering at the University of Santiago de Compostela. He earned his PhD in 2008 with a thesis titled Software-hardware FPGA-Based System for the solution of the 3D heat equation applications on the non-destructive evaluation of minefields , supervised by Dr. Diego Cabello Ferrer and Dr. Marco Balsi. His research focuses on FPGA-based systems, CMOS architectures, thermal modeling, image processing, and non-destructive evaluation techniques. His academic contributions span engineering education innovation, including methodologies like cooperative learning and e-learning integration. His technological work emphasizes embedded systems, hardware acceleration for numerical simulations, and safety-critical applications such as landmine detection through thermal analysis. Recent publications highlight advancements in hyperdimensional computing architectures, 3D image processing, and thermal simulation tools. His work bridges hardware-software co-design principles with real-world applications in geophysics, security systems, and industrial engineering education.

Axel Parmentierمشاهده پروفایل

مدرس

• Operations Research
• Machine Learning
• Data-Driven Optimization
• +۵ مورد دیگر

Axel Parmentier is a Lecturer and researcher at the École Nationale des Ponts et Chaussées, where he founded the AI for Air Transport industry research chair with Air France. His work focuses on the intersection of operations research and machine learning, particularly in data-driven combinatorial optimization and stochastic optimization, with industrial applications in air transportation, supply chain, and predictive maintenance. He holds a Ph.D. and has been recognized with awards including the AMIES Dissertation Award (2017) for applied mathematics with industrial impact and the Robert Faure Prize (under 35) from ROADEF. His research also includes contributions to structured reinforcement learning, optimization layers in machine learning, and explainable AI for operational decisions. Awards: AMIES Dissertation Award, Robert Faure Prize Labs/Teams: CERMICS laboratory, AI for Air Transport Chair (collaboration with Air France) Grants/Projects: Continent-scale inventory routing solutions, Renault’s logistics optimization His advising includes students like Victor Cohen, whose work on predictive maintenance was featured on France Culture.

• Calculus of Variations
• Parallel Computing
• Image Processing
• +۳ مورد دیگر

William K. Allard is a Professor in the Department of Mathematics at Duke University. He holds a Sc.B. from Villanova University and a Ph.D. from Brown University. His research focuses on Calculus of Variations, Parallel Computing, Image Processing, and Scientific Computing, with notable projects including the KDI initiative and studies on spiral wave dynamics in cardiac systems. He has taught a wide range of courses, including Basic Analysis, Mathematical Logic, and Scientific Computing. His recent work includes contributions to differential geometry, image denoising via total variation regularization, and adaptive mesh refinement algorithms. Personal links highlight his family and residence information, though these are non-academic. Research highlights include geometric analysis, computational methods for image processing, and parallel computing applications. His teaching spans foundational mathematics to specialized topics like elliptic PDEs and motion by mean curvature. Collaborative work with John Trangenstein on distributed computational codes demonstrates interdisciplinary engagement. Despite the page's outdated timestamp (last modified 2003), his academic contributions remain well-documented in these materials.

Viswa Viswanathanمشاهده پروفایل

استاد

• Data analytics
• Machine Learning
• Artificial Intelligence
• +۹ مورد دیگر

Viswa Viswanathan is a Professor of Computing and Decision Sciences at the Stillman School of Business, Seton Hall University. He specializes in data analytics, machine learning, artificial intelligence, and software engineering. His research focuses on leveraging IT and analytics to enhance online learning environments, particularly through intelligent tutoring systems and educational technology innovation. He has authored numerous books on R programming, SAP certification, and business analytics course materials. Research Contributions: Dr. Viswanathan has published extensively in operations research, algorithm design, and educational technology. Notable work includes stochastic greedy algorithms, constraint-based intelligent tutoring architectures, and optimization models for pooled testing during pandemics. His work bridges theoretical computing with practical applications in business education. Teaching: Teaches advanced courses like Business Applications of Machine Learning, Business Intelligence, and Big Data Analytics. Known for integrating emerging technologies like Ruby on Rails and GPT-3 into pedagogical frameworks. Professional Impact: Co-developed SAP certification guides (TS410 and TERP10) widely used in enterprise education. His books on R programming (e.g., R Data Analysis Cookbook) are standard references in data science education.

• Nanotechnology
• Material Science
• Optical Properties
• +۱۲ مورد دیگر

Haim Grebel is a Professor in the Department of Electrical and Computer Engineering at the New Jersey Institute of Technology (NJIT), where he also serves as the Director of the Electronic Imaging Center. His academic and research career is deeply rooted in nanotechnology, materials science, and optoelectronics, with a focus on functional nanomaterials and their applications in energy and photonics. His research interests span a wide range of topics including carbon nanotubes, graphene, dielectric materials, nonlinear optical properties, and advanced energy storage systems such as supercapacitors. He investigates the optical, electronic, and structural properties of nanomaterials, often integrating them into novel devices for sensing, imaging, and energy applications. The trend in his recent publications reveals a strong emphasis on optically responsive materials, particularly TiO2-embedded supercapacitors controlled by light, and the use of gold colloids to enhance electrode performance. His work bridges fundamental material science with practical engineering applications in terahertz imaging, Raman spectroscopy, and smart energy systems. He has also contributed to educational initiatives in nanotechnology spanning K-12 to graduate levels. Scientific Awards and Recognition: US Patent for 'Energy packet switches' (2021) Advising and Grants: Dr. Grebel has advised multiple students and junior researchers, as evidenced by co-authorships with Y. Zhang, S. Yu, and T. Chowdhury. He has secured significant federal funding, primarily from the National Science Foundation and U.S. Army, supporting projects such as the acquisition of advanced spectroscopic systems, terahertz imaging technology, and passively adaptive microwave shields. His grants reflect a sustained commitment to cutting-edge instrumentation and interdisciplinary research in nanotechnology and photonics. Labs and Research Teams: As Director of the Electronic Imaging Center at NJIT, he leads a research group focused on electronic and photonic materials, nanostructures, and imaging systems. His team collaborates across disciplines, working on projects that integrate material synthesis, optical characterization, and device engineering.

• Environmental Economics
• Climate Change Economics
• Tourism Economics
• +۵ مورد دیگر

Ángel Bujosa Bestard is a Full Professor in the Department of Applied Economics at the University of the Balearic Islands (UIB), where he has held various leadership positions including Director of the Postgraduate Studies Management Unit (UGEP) since 2021 and Director of the UNESCO/SA NOSTRA Chair for Business Management and the Environment since 2010. His academic career spans teaching and research focused on environmental and tourism economics, with extensive contributions to climate change adaptation studies. Education: PhD in Economics and Law, University of the Balearic Islands (2009) Master in Tourism and Environmental Economics, University of the Balearic Islands (2005) Bachelor's Degree in Business Administration and Management, University of the Balearic Islands (2004) Bujosa's research centers on methodologies for economic valuation of the environment, particularly regarding natural area management and climate change. His work bridges theoretical economic modeling with practical applications in tourism economics, focusing on discrete choice modeling, environmental valuation of intangibles, and climate change impact assessment. His interdisciplinary approach combines environmental economics with tourism studies to address sustainability challenges in Mediterranean destinations. His publication record shows a clear trajectory from foundational work in recreation demand modeling toward increasingly sophisticated analyses of climate change impacts on tourism. Recent publications demonstrate methodological innovations in preference measurement while maintaining practical relevance for environmental policy. His research consistently addresses the economic valuation of environmental attributes, with growing emphasis on climate change adaptation in tourism contexts. Scientific Awards: 7th Mallorca Environment Award in the research category (2007) 1st Prize from the Spanish-Portuguese Association of Natural and Environmental Resource Economics (2008) Bujosa has directed multiple Master's programs and currently oversees postgraduate studies at UIB. His research projects, funded by national and international institutions including the Agencia Estatal de Investigación and the European Union, address critical issues in climate change vulnerability and adaptation. As Principal Researcher of the Economic Analysis of Tourism Impacts group (AEIT), he leads collaborative work connecting academic research with policy applications in tourism and environmental management. His leadership extends to the UNESCO/SA NOSTRA Chair, where he bridges academic research with practical business and environmental management applications. Through this role and his directorship of postgraduate programs, Bujosa has significantly influenced environmental and tourism education policy in the Balearic Islands region.

Lingxiang Albert Yunمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Reinforcement Learning
• +۱۱ مورد دیگر

Dr. Lingxiang (Albert) Yun is a tenure-track Assistant Professor in the Department of Industrial and Systems Engineering at the University of North Carolina at Charlotte since June 2025. Previously, he served as a tenure-track Assistant Professor at Texas A&M University-Corpus Christi (2023-2025) and held research roles at the University of Illinois Chicago (2018-2023). His research bridges artificial intelligence, optimization, and systems engineering to address challenges in modern manufacturing, energy systems, and sustainable operations. Ph.D. in Industrial Engineering and Operations Research, University of Illinois Chicago (2023) M.S. in Environmental Engineering, University of California, Irvine (2017) B.S. in Environmental and Resource Science, Zhejiang University, China (2015) Research focuses on three pillars: Energy Systems Management (smart microgrids, electric mobility integration, grid resilience), Deep Reinforcement Learning (DRL) for Manufacturing (adaptive control, transferable algorithms, real-time optimization), and Generative AI for Design (reinforcement learning-guided diffusion models for protein engineering and drug discovery). His 12 recent publications span DRL applications in energy-flexible manufacturing, cloud remanufacturing logistics, and AI-augmented demand response frameworks. Key trends include interdisciplinary AI integration , resilient energy systems , and generative design optimization . Best Paper Award, IISE Annual Conference (2025) TEES Research Collaborations Award (2024) US Department of Transportation grant for safety analysis in Corpus Christi As principal investigator for Texas A&M's Research Enhancement Program and co-investigator on multiple grants, he leads the IDEA Lab, which develops data-driven decision-making frameworks for smart manufacturing and energy systems. Teaching includes IEEN 2302 Engineering Economics , IEEN 3302 Operations Research , and CEEN 5322 Optimization .

Marlis Hochbruckمشاهده پروفایل

استاد

• Numerical Analysis
• Time Integration of PDEs
• Numerical Methods for Differential Equations
• +۶ مورد دیگر

Professor Marlis Hochbruck is a distinguished faculty member at the Karlsruhe Institute of Technology (KIT), where she serves as Head of the Numerical Analysis Working Group within the Faculty of Mathematics and the Institute for Applied and Numerical Mathematics. Her office is located at Englerstraße 2, 76131 Karlsruhe, Germany, in the Kollegiengebäude Mathematik (20.30), room 3.001. She is actively involved in teaching and research, with courses scheduled through Summer Semester 2025. Her research interests span a wide range of topics in numerical analysis, with a particular focus on time integration methods for partial differential equations , wave equations , Maxwell's equations , and exponential integrators . Her work bridges theoretical numerical analysis with practical computational methods, addressing challenges in computational mathematics and scientific computing. Professor Hochbruck has developed and analyzed numerous numerical schemes that maintain stability and accuracy for complex wave phenomena and electromagnetic simulations. Professor Hochbruck's publications demonstrate a consistent focus on advancing numerical methodologies for time-dependent PDEs. Her recent work shows increasing attention to specialized applications including quantum mechanics (Schrödinger equation), electromagnetic scattering, and nonlinear wave phenomena. She frequently collaborates with researchers across multiple institutions, particularly within the CRC 1173 framework at KIT, which focuses on wave phenomena. Professor Hochbruck has supervised numerous doctoral students who have completed dissertations on topics related to numerical methods for wave equations, exponential integrators, and time integration schemes. Her academic lineage includes researchers who have made significant contributions to computational mathematics. Her teaching portfolio is extensive and consistent, covering core numerical mathematics courses as well as specialized seminars on numerical methods for differential equations, time integration, and wave phenomena. She has taught continuously from Winter Semester 2010/11 through Summer Semester 2025, demonstrating sustained academic engagement.

Jeffrey Tingمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Computer Vision
• Plenoptic Lightfield Imaging
• +۴ مورد دیگر

Jeffrey Ting is the Interim Head of Computing and Mathematical Sciences and Senior Lecturer at the University of Wolverhampton's School of Mathematics and Computer Science (Faculty of Science and Engineering). His academic qualifications include an MSc in Control Systems from the University of Sheffield, a Postgraduate Diploma in Business Administration from the University of Birmingham, and a BSc Joint Honours in Computer Science and Electronic Engineering from the University of Birmingham. His research focuses on Machine Learning , Computer Vision , and Plenoptic Lightfield Imaging , with broader expertise spanning Mobile Technologies, Software Engineering, Cyber Security, and Web Technologies. Current investigations include developing a hybrid framework for light field scene reconstruction as part of his PhD research. Analysis of his 15 most recent publications reveals predominant themes in educational technology (mobile learning systems, interactive tools) and control systems (industrial automation, multivariable control), with later work expanding into medical informatics and imaging technologies. Publications demonstrate consistent interdisciplinary collaboration and practical applications in industrial and educational contexts. Professional affiliations include Chartered Membership in the British Computer Society and Fellowship in the Higher Education Academy. He currently supervises a PhD project on light field reconstruction and has extensive industry experience in software development and management prior to his academic career.

• Production Systems Engineering
• Supply Chain Design and Optimization
• Operational Research
• +۳ مورد دیگر

Professor Alexandre Dolgui is the Director of the Department of Automation, Production, and Computer Science (DAPI) at IMT Atlantique, France. A Fellow of IISE and Highly Cited Researcher (Clarivate), he serves as Editor-in-Chief of the International Journal of Production Research. His expertise spans production systems, supply chain engineering, and operational research, with over 360 journal articles and 37 books. Education: HDR (University of Technology of Compiègne, 2000), PhD in Cybernetics (Academy of Science of Belarus, 1990) Research focuses on production system design , supply chain resilience , and discrete optimization , addressing challenges in human-robot collaboration, Industry 5.0, and yield uncertainty. His work integrates machine learning with stochastic programming for adaptive manufacturing solutions. Key contributions include constraint programming models for assembly lines, robust optimization frameworks for biorefineries, and digital twin methodologies for supply chain risk management. He has received multiple best paper awards and led international research projects like DREAMS and DISC. Scientific leadership: Board member of IFPR, Senior advisor to Chinese Academy of Sciences, founder of EVI European Virtual Institute

• Theoretical Computer Science
• Machine Learning
• Algorithms
• +۴ مورد دیگر

Nicholas J. A. Harvey is a Professor of Computer Science at the University of British Columbia. His research spans multiple areas of theoretical computer science with significant contributions to algorithms, machine learning theory, and network coding. Harvey's research focuses on the theoretical foundations of computer science with particular emphasis on: Theory and analysis of randomized algorithms Machine learning theory, including online learning and neural networks Network coding and information theory Combinatorial optimization and graph algorithms High-dimensional probability and statistics His work combines deep mathematical insights with practical applications in computer systems and networking. Analysis of Harvey's recent publications (2022-2025) reveals a strong focus on theoretical aspects of machine learning and optimization. His work spans continuous prediction with experts' advice, tight analyses of optimization algorithms like subgradient descent, and fundamental questions in randomized algorithms. A significant portion of his recent research addresses challenges in high-dimensional statistics, privacy-preserving estimation, and graph neural networks. His publications demonstrate a consistent pattern of addressing foundational theoretical questions with implications for practical machine learning systems. Harvey has maintained a strong publication record with an h-index of 35 and over 6,000 citations according to Google Scholar metrics. His influential papers include 'SkipNet: A Scalable Overlay Network with Practical Locality Properties' (2003), 'On the capacity of information networks' (2006), and 'Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks' (2019). Harvey has supervised numerous graduate students and postdoctoral researchers, contributing to the development of the next generation of theoretical computer scientists. His research has been supported by various grants from funding agencies including the Natural Sciences and Engineering Research Council of Canada (NSERC) and collaborations with industry partners. While specific details about laboratory facilities are not available in the provided information, Professor Harvey appears to be part of the theoretical computer science research group at the University of British Columbia, collaborating with researchers across multiple institutions on fundamental problems in algorithms and machine learning theory.