جست‌وجوی استاد و پژوهشگر

• Renewable Energy
• Solar Energy Engineering
• Photovoltaic Devices
• +۱۷ مورد دیگر

Professor Tapas Mallick is a leading academic in renewable energy and solar technologies, serving as Professor and Chair of Clean Technologies and Renewable Energy at the University of Exeter’s Environment & Sustainability Institute. He also holds distinguished adjunct and visiting professorships at Imam Abdulrahman Bin Faisal University (Saudi Arabia) and the Indian Institute of Technology Madras (India), respectively. He is the Director and Scientific Advisor of BuildSolar Limited and actively leads the Solar Energy Research Group. University of Exeter, UK (2013–present) Imam Abdulrahman Bin Faisal University, Saudi Arabia (2024–present, Distinguished Adjunct Professor) Indian Institute of Technology Madras, India (2018–present, Visiting Professor) BuildSolar Limited (2018–present, Director and Scientific Advisor) His research focuses on applied solar energy, with emphasis on bridging the urban-rural energy divide through innovative solar integration in buildings, smart materials, and hybrid systems. Key interests include photovoltaic-thermal (PVT) systems, building-integrated photovoltaics (BIPV), phase change materials, solar desalination, and energy storage. His work combines engineering, materials science, and environmental sustainability to develop scalable, real-world solutions. The 15 most recent publications reflect a strong trend in hybrid solar technologies, smart materials for energy efficiency, rural electrification, and water-energy nexus solutions. Research spans photovoltaics, thermal engineering, materials innovation, and system integration, with applications in both urban and off-grid rural environments across ODA countries. His scientific accolades include: Fellow of the Royal Society of Chemistry Fellow of the World Society of Sustainable Energy Technologies British Indian Award for Services to Education (2016) Best Innovation for Sustainability Award (Cornwall, 2018) Professor Mallick has supervised 34 PhD students to completion and leads multiple high-impact funded projects, including UK-Egypt British Council initiatives, EPSRC-funded HIACT Hub, and the SUPERGEN solar consortium. He serves as Section Editor-in-Chief of the journal Energies and has strong international collaborations across India, the Middle East, and sub-Saharan Africa. His research is supported by RCUK, EU, and industrial funding, demonstrating significant translational impact. He leads the Solar Energy Research Group at Exeter and is deeply involved in innovation through BuildSolar Limited, focusing on commercializing solar technologies for sustainable development.

Lina von Sydowمشاهده پروفایل

استاد

• Computational Science
• Computational Finance
• Ice Sheet Modeling
• +۲ مورد دیگر

Lina von Sydow is a Professor in Computational Science at Uppsala University's Department of Information Technology. She serves as Section Dean for the Mathematical-Computer Science Section since July 2023. Her academic journey includes becoming an Associate Professor in 2000, Senior Lecturer since 1997, and leading the Department of Information Technology from 2018 to 2023. PhD in Domain Decomposition Methods (1995, Uppsala University) Postdoctoral Fellow at Oxford University (1996-1997) Her research spans computational science with dual focuses on Computational Finance and Ice Sheet Modeling . In finance, she develops numerical methods for option pricing using PDEs, radial basis functions, and stochastic volatility models. In climate science, she contributes to ice sheet dynamics through full Stokes models and adaptive time-stepping approaches, particularly in simulating grounding line migration. Recent publications (2025) address gender disparities in IT education, including comparative analysis of admission trends and intervention studies to boost female enrollment. Earlier works (2020-2015) focus on high-order finite difference methods for financial derivatives, BENCHOP benchmarking projects, and preconditioning techniques for PDEs. Scientific awards include Excellent Teacher (2013) She actively collaborates on educational reforms, co-authoring studies like Gender-aware course reform in Scientific Computing (2013). Her leadership roles include Head of Department (2018-2023) and Section Dean (2023-present), influencing academic governance and interdisciplinary research. Labs and teams: Works with Uppsala University's Computational Science group, Elmer/ICE project collaborators (e.g., Per Lötstedt, Gong Cheng), and international partners in numerical finance and climate modeling.

• Bioinformatics
• Computational Biology
• Protein Informatics
• +۳ مورد دیگر

Barış Ethem Süzek is an Associate Professor in the Department of Computer Engineering at the Faculty of Engineering, Muğla Sitki Koçman University. His academic career spans institutions including Middle East Technical University (BS), Johns Hopkins University (MS), and George Mason University (PhD) in Computational Biology. He specializes in bioinformatics and computational biology, focusing on protein informatics, genetic analysis, and machine learning applications in medical research. Education BS: Middle East Technical University - Computer Engineering (1997) MS: Johns Hopkins University - Computer Science (2000) PhD: George Mason University - Computational Biology (2012) His research integrates bioinformatics with molecular dynamics, particularly in host-pathogen interactions, regenerative medicine, and genomic data analysis. He has developed machine learning tools for viral interaction prediction and variant analysis systems. His work with UniProt and cancer Biomedical Informatics Grid projects demonstrates expertise in large-scale biological data integration. Scientific awards include Collaboration, Outstanding Achievement, and Change Agent Awards from the cancer Biomedical Informatics Grid, plus multiple patent recognitions for biomedical systems. He has supervised numerous graduate students in bioinformatics, computational genetics, and forensic biology projects.

• Indoor Air Quality
• Healthy Buildings
• Exposure Assessment
• +۳ مورد دیگر

Joseph G. Allen is an Associate Professor at Harvard T.H. Chan School of Public Health, where he directs the Harvard Healthy Buildings Program and serves as Deputy Director of the Harvard Education and Research Center for Occupational Safety & Health . He holds leadership roles in major public health initiatives including as Commissioner for The Lancet COVID-19 Commission and Scientific Advisor to the White House (2022-2024). His work bridges environmental health, building science, and public policy to advance human health in indoor environments. Education: D.Sc. in Exposure Assessment, Environmental Epidemiology & Biostatistics – Boston University MPH in Environmental Health – Boston University BS in Biology – Boston College Certified Industrial Hygienist (CIH) Research Focus: Dr. Allen's work centers on indoor environmental quality and its impact on human health. His research examines: 1) Airborne pathogen transmission mitigation strategies, 2) Chemical exposure pathways in built environments, 3) Climate-resilient building design, and 4) Global health equity in environmental interventions. His studies employ field measurements, computational modeling, and epidemiological approaches to develop evidence-based building standards. Publications: His recent 15 publications demonstrate consistent focus on air quality interventions, chemical exposure assessment, and health-focused building design. Key themes include pandemic-responsive ventilation standards, PFAS contamination mitigation, global health equity in environmental interventions, and technological innovations in exposure monitoring. His work appears in both scientific journals and policy-oriented outlets like Harvard Business Review. Awards & Leadership: Scientific Advisor to White House & Massachusetts Governor Chair of Lancet COVID-19 Task Force for Safe Work/Schools/Travel Co-Chair of Harvard Sustainability Committee's 2050 Subcommittee Program Direction: As Director of the Harvard Healthy Buildings Program, Dr. Allen leads interdisciplinary research translating building science into public health practice. The program collaborates with governments and industries worldwide to implement health-focused building standards and exposure reduction strategies.

Benaissa Chidmiمشاهده پروفایل

دانشیار

• Industrial Organization
• Food Marketing
• Agribusiness
• +۲ مورد دیگر

Benaissa Chidmi , an Associate Professor in the Department of Agricultural and Applied Economics at Texas Tech University , specializes in industrial organization, food marketing, agribusiness, and consumer demand analysis. He teaches Applied Econometrics and Demand and Price Analysis . Education Ph.D. in Agricultural and Resource Economics, University of Connecticut (2006) M.S. in Applied Financial Mathematics, University of Connecticut (2006) M.S. in Agricultural and Resource Economics, University of Connecticut (2002) M.S. in Food Engineering, Institut Agronomique et Vétérinaire Hassan II, Morocco (1996) Research Trends Chidmi's research spans diverse applications of econometric modeling, including consumer food demand systems , energy economics , agricultural productivity , and industrial organization . His recent work (2025) examines Saudi Arabia's coffee import demand , machine learning in US residential energy usage , and animal protein consumption patterns . Earlier studies (2024-2019) focus on technical efficiency in cereal production, asymmetric price transmission in energy markets, and nutrient demand analysis in Sri Lanka. Key Methodologies Almost Ideal Demand System (AIDS) modeling Quantile regression analysis Random coefficients and logit demand models Machine learning applications in economics Censored regression techniques Technical efficiency measurement

Tiffany Roberts Briggsمشاهده پروفایل

دانشیار

• Coastal Geomorphology
• Beach Morphodynamics
• Sedimentology
• +۵ مورد دیگر

Tiffany Roberts Briggs serves as Chair and Associate Professor in the Department of Geosciences at Florida Atlantic University. Her academic foundation includes a Ph.D. (2012), M.S. (2008), and B.S. in Environmental Science with Honors (2006), all from the University of South Florida. Her research centers on coastal geomorphology and sedimentology , with critical focus on beach-dune-nearshore system responses to natural events like hurricanes and anthropogenic interventions including coastal engineering. Key specialties include beach morphology evolution, microplastics in coastal sediments, sea turtle habitat characterization, and coastal resilience strategies. Current projects involve Hurricane Ian impact analysis, regional sediment management, and decadal-scale inlet dynamics. Teaching portfolio spans undergraduate and graduate courses including Physical Geology, Coastal and Marine Science, Shore Erosion & Protection, and specialized topics in beach morphodynamics. She actively mentors graduate students through directed research courses and supervises thesis work evident in her co-authored publications with student researchers. Briggs directs research at the Coastal Studies Lab and leads field investigations across Southeast Florida coastlines. Her work integrates advanced methodologies including LiDAR, aerial imagery, and GIS modeling for coastal change assessment. Recent publications reveal strong collaboration with agencies like USACE and NOAA, particularly in post-hurricane damage evaluation and community resilience planning.

Kuljeet Kaurمشاهده پروفایل

استاد

• Cloud Computing
• Edge/Fog Computing
• Internet of Things (IoT)
• +۷ مورد دیگر

Kuljeet Kaur is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS) in Montreal, Canada. Her research is conducted through the LACIME (Communications and Microelectronic Integration Laboratory), a renowned research unit focusing on communications and microelectronic integration. She maintains an active research program with numerous publications and student supervision activities. Professor Kaur's research spans multiple interconnected domains focused on next-generation computing and communication systems. Her primary research axes include Sensors, Networks and Connectivity; Intelligent and Autonomous Systems; and Software Systems, Multimedia and Cybersecurity. Within these broad areas, she specializes in Cloud Computing, Edge/Fog Computing, Internet of Things (IoT), Cybersecurity, Privacy, Federated Learning, and Energy Management. Her work bridges theoretical foundations with practical implementations in intelligent transportation systems, healthcare applications, and smart grid technologies. Analysis of Professor Kaur's recent publications reveals a strong focus on security and privacy challenges in emerging computing paradigms. A significant portion of her work addresses federated learning approaches that maintain data privacy while enabling collaborative AI model training. Her research also demonstrates expertise in edge computing architectures, particularly for IoT applications, with emphasis on energy efficiency and security. The publications show consistent interdisciplinary collaboration across computer science, electrical engineering, and transportation domains. Professor Kaur actively supervises multiple graduate students at various levels. Her supervision portfolio includes doctoral candidates working on topics like decentralized AI networks and secure federated learning, as well as master's students focusing on edge AI for IoT applications, sensor drift compensation, and zero trust architecture for IoT. She also guides project students working on practical implementations of AI for smart grid optimization and secure IoT protocols. Her research is conducted within the LACIME laboratory, which brings together researchers working on everything from micro- and nanofabrication processes to communication protocols and signal processing. The lab provides a transdisciplinary environment where Professor Kaur's work on cyber-physical systems and secure communications benefits from complementary expertise in integrated circuit design and microsystems.

Nikolaos Gatsisمشاهده پروفایل

دانشیار

• Smart Power Grids
• Critical Infrastructure Security
• Power Systems Optimization
• +۳ مورد دیگر

Nikolaos Gatsis serves as Associate Professor and GreenStar Endowed Associate Professor in Energy within the Department of Electrical and Computer Engineering at UTSA's Klesse College of Engineering and Integrated Design. His work centers on optimizing and securing smart power grids integrated with critical infrastructure systems including water, transportation, and GPS networks. Education: Ph.D. in Electrical Engineering with minor in Mathematics, University of Minnesota, 2012 Diploma in Electrical and Computer Engineering, University of Patras, Greece His research program tackles critical vulnerabilities in cyber-physical systems through six interconnected domains: smart grid modeling, water distribution security, transportation electrification impacts, inverter-based grid protection, stochastic renewable integration, and GPS spoofing defense. This multidisciplinary approach addresses systemic risks in modern infrastructure through advanced optimization and security frameworks. Recognition includes: NSF CAREER Award (2019) Lutcher Brown Endowed Fellowship (2020-2021) Teaching Excellence Award (2021) President’s Research Achievement Award (2021) Annual Innovation Award (2022) Funded by the NSF CAREER grant and institutional fellowships, his research group develops security protocols for interdependent infrastructure systems. His lab facilities support experimental validation of grid protection mechanisms and spoofing countermeasures, training engineers for next-generation energy challenges.

Tyson Govan Phillipsمشاهده پروفایل

مدرس ارشد

• Autonomous Systems
• Robotics
• Mining Automation
• +۴ مورد دیگر

Dr. Tyson Phillips serves as Senior Lecturer and Director of Teaching and Learning at The University of Queensland's School of Mechanical and Mining Engineering within the Faculty of Engineering, Architecture and Information Technology. He is an active Affiliate of the Future Autonomous Systems and Technologies research group, focusing on translating robotics innovations into practical mining applications. His academic leadership includes curriculum development for engineering programs and direct industry engagement with major mining equipment manufacturers. He earned his Doctor of Philosophy (PhD) from The University of Queensland in 2016, with thesis research centered on LiDAR-based perception systems for autonomous excavators. His doctoral work established foundational methods for object pose verification in mining contexts. Phillips' research specializes in robotics perception for extreme mining environments, developing LiDAR-centric solutions for autonomous equipment operation amid dust, fog, and unstructured terrain. Key contributions include evidential reasoning frameworks for uncertainty management, real-time pose estimation algorithms, and sensor fusion techniques for excavators and bulldozers. His work bridges theoretical computer vision with industrial deployment, targeting operational safety and efficiency in mineral extraction. Publication analysis reveals consistent focus on mining robotics since 2012, with recent works (2021-2024) emphasizing minimal-sensor configurations, probabilistic terrain mapping, and vibration-assisted gripper technology. His 14 scholarly outputs demonstrate evolution from sensor evaluation (2012-2015) toward integrated autonomy systems (2018-2024), predominantly in Journal of Field Robotics and Sensors . He actively supervises graduate researchers as Principal Advisor for a PhD on multimodal perception mapping and Associate Advisor for two PhD projects involving spreader systems and physics-informed neural networks. Completed supervision includes a 2024 PhD on bulldozer terrain mapping and a 2021 Master's on shovel/hopper interaction strategies. Research funding spans 14 projects from 2012-2026, including current Australian Coal Association Research Program support (2025-2026) and major Caterpillar Inc. collaborations for ERS self-protection and articulated truck automation. Phillips operates within The University of Queensland's Future Autonomous Systems and Technologies group, which develops field-deployable autonomy solutions for mining partners. This team conducts real-world testing of perception systems using Caterpillar and FMG operational sites as validation environments.

David Brownمشاهده پروفایل

استاد

• Accessibility
• Virtual Reality
• Multimodal Affect Recognition
• +۵ مورد دیگر

David Brown is a Professor in Interactive Systems for Social Inclusion at Nottingham Trent University's School of Science & Technology, Department of Computer Science. He serves as Director of the Computing and Informatics Research Centre (CIRC) and Research Group Leader for the Interactive Systems Research Group (ISRG). Director, Computing and Informatics Research Centre Research Group Leader, Interactive Systems Research Group Governor, Oak Field School for students with severe learning disabilities Conference Chair, International Conference on Disability, Virtual Reality and Associated Technology (ICDVRAT21) Associate Editor, Frontiers: Virtual Reality in Medicine Professor Brown's research focuses on developing inclusive technologies for people with disabilities. His work spans accessibility for students with learning, physical and sensory impairments; virtual reality applications for rehabilitation; multimodal affect recognition systems; social robotics for education; accessible visual programming toolkits; and serious games for developing physical and cognitive skills. His research is characterized by strong interdisciplinary collaboration and practical application in educational and healthcare settings. His recent publications demonstrate a consistent focus on applying emerging technologies like virtual reality, machine learning, and social robotics to address real-world challenges in accessibility and inclusion. The research shows a clear trajectory toward increasingly sophisticated multimodal systems that can detect user states and adapt accordingly, with applications ranging from autism support to mental health interventions. Extensive EU-funded research projects including Horizon 2020, Erasmus+, and EPSRC grants Notable projects: DIVERSIA, MaTHiSiS, Pathway, AI-TOP, EDUROB, No One Left Behind, Real Life, RISE Professor Brown has supervised numerous PhD students and collaborates extensively with international partners across Europe and Asia. His work bridges computer science, psychology, education, and healthcare to create technologies that promote social inclusion and improve quality of life for people with disabilities.

Wai Kiong Oswald Chongمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Engineering Systems
• Optimization
• +۱۰ مورد دیگر

Dr. Wai Kiong Oswald Chong is an Associate Professor at Arizona State University's School of Sustainable Engineering and the Built Environment, with a dual affiliation as Senior Global Futures Scientist at the Global Futures Scientists and Scholars program. He holds a PhD in Civil Engineering from the University of Texas-Austin, MSc and BSc in Building from the National University of Singapore, and focuses on integrating artificial intelligence with sustainable engineering systems. PhD (2005): Civil Engineering, University of Texas-Austin MSc (1999) & BSc (1997): National University of Singapore His research bridges lunar construction with Earth-bound sustainable systems, covering topics like: Space habitat modularization Resource circularity systems AI-enhanced building codes Climate-resilient infrastructure Advanced energy modeling Construction supply chain optimization Publications demonstrate consistent focus on: Semiconductor facility HVAC optimization Building energy consumption anomalies Life cycle assessment frameworks Construction risk management Deconstruction and material reuse AI-driven system modeling Current research projects include: Lunar MVI (Moon Village Initiative) Semiconductor fab design optimization Human-AI knowledge interfaces Thermal insulation systems for extreme environments Smart grid energy modeling

Mustapha C.E. Yagoubمشاهده پروفایل

استاد

• RF/Microwave Circuit Design
• RFID Systems
• Antenna Design
• +۵ مورد دیگر

Mustapha C.E. Yagoub is a Full Professor at the School of Electrical Engineering and Computer Science, University of Ottawa, with over 500 publications in RF/microwave CAD, RFID systems, neural networks, and applied electromagnetics. He leads research in the ELEMENT Laboratory and RFM Research Group , focusing on wireless communication systems and nonlinear device modeling. PhD in Electronics (Institut National Polytechnique de Toulouse, 1994) Magister in Telecommunications (École Nationale Polytechnique d'Alger, 1987) Dipl.-Ing. in Electronics (École Nationale Polytechnique d'Alger, 1979) His research bridges Microwave Circuit Design with Artificial Intelligence , including applications in Energy Conservation and Telecommunication Systems . Key trends in his publications include hybrid modeling techniques combining Neural Networks with Computational Electromagnetics for optimizing Antenna Design and RF Components . He is a Senior Member of IEEE and licensed with the Professional Engineers of Ontario and Ordre des Ingénieurs du Québec . His lab teams focus on High-Tc Superconducting Devices and Directional Antenna Optimization for RFID networks.

• Experimental Seismology
• Seismic Tomography
• Seismic Anisotropy
• +۷ مورد دیگر

Joachim Ritter is apl. Professor of Geophysics at the Karlsruhe Institute of Technology (KIT) , Geophysical Institute (GPI). He has been with KIT since 2002, after completing his habilitation at the University of Göttingen. His research integrates experimental seismology with field experiments across Europe and Africa. Education Diplom in Geophysics, University of Karlsruhe (TH), 1985–1991 Doctorate (Dr. rer. nat.), Faculty of Physics, University of Karlsruhe, 1996 Habilitation, Faculty of Physics, University of Göttingen, 2002 Research Interests Ritter’s work spans experimental seismology , seismic tomography , seismic anisotropy , and induced seismicity . He operates mobile broadband arrays to image Earth’s interior, studies deformation in the mantle and lithosphere, and monitors volcanic regions such as the Eifel volcanic field and the East African Rift. Additional foci include wind-turbine-induced ground motion and urban seismology . Publication Trends Recent publications (2022–2025) concentrate on volcano-seismic monitoring in Germany and Greece, wind-energy seismic emissions , shear-wave splitting beneath Central Europe, and fault imaging of active tectonic zones. The breadth reflects both methodological advances and targeted regional studies. Scientific Awards 2017 Faculty Teaching Award, KIT Advising & Committees Ritter has supervised numerous master theses and PhD projects, and he leads the KArlsruhe BroadBand Array (KABBA). He has served on national and international committees including the European Seismological Commission, AlpArray Science Council, and the German Geophysical Society Board. Labs & Teams He heads the Working Group on Analysis of Wind Turbines and previously acted as Spokesperson for the KIT Competence Field "Geosphere and Risk Management". His team operates dense seismological networks across Germany and Europe.

• Operational Research
• Logistics
• Stochastic Optimization
• +۳ مورد دیگر

Michel Gendreau is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He holds a B.Com. from McGill University, and both an M.Sc. and Ph.D. from the University of Montreal. His research focuses on operational research with applications in logistics, transportation, energy systems, and telecommunications. He is affiliated with several prestigious research centers including the Institute for Data Valorization (IVADO), the Trottier Energy Institute (IET), and the Interuniversity Research Center on Enterprise Networks, Logistics and Transport (CIRRELT). Professor Gendreau's research interests span operational research, with particular emphasis on stochastic optimization methods applied to transportation and logistics problems, energy systems management, and telecommunications. His work often addresses real-world challenges through mathematical modeling and algorithm development, with applications ranging from bike-sharing systems to emergency response planning and electricity grid management. The analysis of his recent publications reveals a strong focus on vehicle routing problems under uncertainty, maintenance optimization, and the integration of stochastic programming with machine learning techniques for improved decision making. Professor Gendreau has received numerous prestigious awards recognizing his contributions to the field of operations research. In 2022, he was named a Fellow of the International Federation of Operational Research Societies (IFORS). In 2010, he was awarded Fellow status by INFORMS (Institute for Operations Research and the Management Sciences). Most notably, in November 2015, he received the Robert M. Herman Lifetime Achievement Award from the Transportation Science and Logistics Society of INFORMS, which is considered the most prestigious distinction for operational researchers working in logistics and transportation. Throughout his career, Professor Gendreau has supervised 25 doctoral students and 18 master's students, contributing significantly to the development of the next generation of operations research experts. His research has been supported by numerous grants from organizations including NSERC (Natural Sciences and Engineering Research Council of Canada), with expertise recognized in Operational Research and Management Science (NSERC subject 1601) and Logistics (NSERC subject 1603). Professor Gendreau is actively involved in several research teams and laboratories, particularly those focused on data valorization, energy systems, and transportation logistics. His current work continues to push the boundaries of stochastic optimization and its applications to complex real-world problems, with recent publications addressing challenges in urban transportation, energy management, and emergency response systems.

Jordan Taylorمشاهده پروفایل

استاد

• Motor Control
• Neuroscience
• Computational Motor Learning
• +۲ مورد دیگر

Professor Jordan Taylor is affiliated with Princeton University as a faculty member in the Department of Biomedical Engineering within the School of Engineering and Applied Science. His research focuses on unraveling computational processes in motor control and learning, with particular emphasis on interactions between explicit cognitive strategies and implicit motor adaptation during skill acquisition. Taylor leads the Intelligent Performance and Adaptation Laboratory , aiming to develop optimal training protocols for motor rehabilitation post-stroke or disease. Research Interests : Taylor investigates how humans learn motor skills through dual mechanisms of declarative strategy formation and implicit neural adaptation. His work explores the neural systems underlying these processes and their functional consequences, especially in pathological conditions like cerebellar degeneration. Current studies examine working memory constraints, reward modulation of implicit adaptation, and plan-based generalization of motor learning. Publication Trends : Recent articles analyze dual mechanisms in sensorimotor learning, reward-driven adaptation, and contextual influences on motor memory. His computational neuroscience approach combines behavioral experiments, neural imaging, and theoretical modeling to study cognitive-motor interactions across various tasks.