جست‌وجوی استاد و پژوهشگر

Alexander Gegovمشاهده پروفایل

دانشیار

• Computational Intelligence
• Artificial Intelligence
• Explainable Artificial Intelligence (xAI)
• +۱۳ مورد دیگر

Alexander Gegov is Associate Professor in Computational Intelligence at the School of Computing, Faculty of Technology, University of Portsmouth, and also serves as Visiting Professor in Control Theory at the English Faculty of Engineering, Technical University of Sofia. He is affiliated with the Centre of Excellence in Defence, Risk & Resilience and the Portsmouth AI and Data Science Centre. He has previously held leadership roles as Associate Dean for Research and has been actively involved in numerous international research collaborations. PhD in Cybernetics, Bulgarian Academy of Sciences DSc in Artificial Intelligence, Bulgarian Academy of Sciences Humboldt Guest Researcher, Germany EU Visiting Researcher, Delft University of Technology, Netherlands His research focuses on the development and application of artificial intelligence and machine learning methods—particularly fuzzy systems, neural networks, and evolutionary algorithms—for modeling and simulating complex systems characterized by nonlinearity, uncertainty, and high dimensionality. His work emphasizes explainability, transparency, and real-world feasibility in domains such as public security, financial forecasting, medical diagnosis, and environmental modeling. He actively contributes to the advancement of Explainable Artificial Intelligence (xAI) and its integration with fuzzy logic and causal models. The most recent publications highlight a strong trend toward explainable, interpretable, and ethically grounded AI, with applications in security, healthcare, project management, and intelligent control systems. His work frequently involves hybrid models, ensemble methods, and real-world validation in collaboration with NATO and other international bodies. National award for best young researcher, Bulgarian Union of Scientists Award for Outstanding Innovation in Digital Health and Social Care (2020) Excellence in Creating a Smarter World International Innovation Award (2020) Alexander Gegov has supervised numerous PhD students and served as Principal or Co-Investigator on research projects funded by NATO, EU, EPSRC, and Innovate UK. He is an active PhD supervisor and examiner. His leadership extends to editorial roles in top journals such as IEEE Transactions on Artificial Intelligence and IEEE Transactions on Fuzzy Systems, as well as participation in IEEE and NATO technical committees on explainable AI and computational intelligence. He has also organized international events such as the Alan Turing Institute Fringe Festival. He is a key member of several research groups including the Soft Computing Technical Committee of IEEE SMC, the IEEE Working Group on Explainable Artificial Intelligence, and the NATO Exploratory Team on Explainable AI. His work contributes to UN Sustainable Development Goals related to health, industry innovation, and responsible AI.

• Statistics
• Biology
• Ecology
• +۳ مورد دیگر

Regina Bispo is an Assistant Professor at the Department of Mathematics, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa (FCT NOVA). She holds a PhD in Probability and Statistics from Universidade de Lisboa (2012) and has over 20 years of university teaching experience across disciplines like Mathematics, Statistics, Pharmacy, Engineering, and Biology. She is affiliated with the Center of Mathematics and Applications (CMA) at FCT NOVA. Her research focuses on statistical methodologies applied to ecology, wildlife conservation, environmental science, and marine biology. Key areas include spatial modeling of ecological phenomena, statistical analysis of wildlife mortality (e.g., bird fatalities at power lines), and multi-omics data integration in medical research. She has published over 20 peer-reviewed articles and delivered numerous workshops on statistics and data science. Regina’s work bridges theoretical statistics with practical applications, addressing challenges in pandemic preparedness, fire management, seafood traceability, and climate change impacts. Her contributions emphasize methodological advancements in survival analysis, spatial point processes, and regularization techniques for high-dimensional data.

Pierre Hirelمشاهده پروفایل

استادیار

• Materials Physics
• Atomic-Scale Simulations
• Dislocations
• +۷ مورد دیگر

Pierre Hirel is an Assistant Professor in the Department of Physics at the Faculty of Sciences and Technologies, University of Lille, France. He is a member of the UMET (Materials and Transformations Unit, CNRS UMR 8207), where he conducts research on the mechanical behavior of complex materials using atomic-scale simulations. His research interests span materials physics, computational modeling, dislocations, grain boundaries, diffusion, and plasticity in ceramics and minerals, particularly those relevant to Earth's mantle. He employs advanced simulation techniques including molecular dynamics, density functional theory (DFT), and empirical interatomic potentials to study defect structures and mechanical properties under extreme conditions. The recent publications reflect a strong focus on perovskite-type oxides (e.g., SrTiO₃, BaTiO₃, MgSiO₃ bridgmanite), forsterite (Mg₂SiO₄), and rock-salt materials, with emphasis on dislocation dynamics, grain boundary complexions, and diffusion mechanisms. His work bridges geophysics and materials science, contributing to understanding mantle rheology and deformation mechanisms at the atomic level. Scientific Awards: No awards listed in the provided text. Pierre Hirel has advised at least one doctoral student, Konstantinos Thomaidis, whose thesis focused on water signatures in mantle xenoliths. He has secured research funding through major projects such as ANR, ERC, and Interreg, as indicated by the laboratory’s project portfolio. He is the developer of Atomsk , an open-source tool for atomic system manipulation, widely used in the computational materials community. He is part of the Plasticity Research team at UMET and actively collaborates with researchers such as Philippe Carrez and Patrick Cordier. His work involves multiscale modeling approaches, connecting atomistic simulations with continuum mechanics frameworks.

Anthony Kohtzمشاهده پروفایل

پژوهشگر ارشد

• Archaea
• Methanogenesis
• Hydrogenase
• +۴ مورد دیگر

Dr. Anthony Kohtz is a Postdoctoral Research Fellow in the Greening Laboratory at Monash University's Department of Microbiology. He earned his PhD in Biochemistry from Montana State University (2024), studying archaeal diversity in extreme environments like Yellowstone National Park and deep-sea hydrothermal systems. His research focuses on methanogen biology, particularly cultivating novel archaeal lineages to understand methane production mechanisms. Key areas include interdisciplinary approaches combining physiology, multi-omics, and structural biology to explore enzyme-to-ecosystem scales. His work addresses methane mitigation, renewable energy, and wastewater treatment through insights into microbial methane strategies. Education: PhD in Biochemistry (Montana State University, 2024). Research emphasizes archaeal physiology in extreme environments, with collaboration on global projects. Notable achievements include first cultivation of divergent methanogenic archaea and structural characterization of their metabolic pathways. Recent publications (2022-2025) investigate Thermoproteota methanogens, Korarchaeia metabolism, and novel archaeal classes like Culexarchaeia. Articles highlight cultivation techniques, microbial methane pathways, and environmental applications of extremophile research.

Carmelo Conesa Garciaمشاهده پروفایل

استاد

• Physical Geography
• Geomorphology
• Hydrology
• +۱۰ مورد دیگر

Carmelo Conesa García is a Professor in the Department of Geography at the Faculty of Arts and Humanities, Universidad de Murcia, Spain. His academic career is deeply rooted in physical geography, with a focus on geomorphology and hydrology of Mediterranean environments. Research Interests: His work spans a broad range of topics including fluvial processes, natural and hydrological hazards, soil erosion, sediment transport in ephemeral streams, climate change impacts on hydrology, and the application of GIS and remote sensing in environmental modeling. He has extensively studied the geomorphological evolution of intermittent rivers using historical imagery and UAVs, and has applied models such as SWAT, HEC-HMS, and GeoWEPP to assess hydrological responses and erosion dynamics. Publication Trends: His recent publications (2021–2022) reveal a strong trend toward interdisciplinary environmental modeling, integrating field data with advanced geospatial techniques to analyze climate change impacts, sediment connectivity, and extreme temperature events in the Iberian Peninsula. His research often involves high-resolution spatio-temporal analysis and contributes to understanding environmental risks in semi-arid regions. Scientific Awards: No awards were mentioned in the provided text. Advising and Grants: He was part of the Eroderme research group focused on erosion and desertification in the Mediterranean. While specific students or grants are not listed, his long-standing research activity suggests involvement in mentoring and funded projects related to environmental change and geomorphology. Labs and Teams: He was a member of the Eroderme research group (Erosion, Desertification in the Mediterranean), which indicates active collaboration in a team setting focused on environmental degradation processes in Mediterranean basins.

• Fluid Dynamics
• Energy Systems
• Winter Road Maintenance
• +۵ مورد دیگر

Jeanette Cleotilde Polanco Pinerez is an Associate Professor at the Department of Industrial Technology, UiT The Arctic University of Norway, based in Narvik. She specializes in fluid dynamics, energy systems, and industrial applications of machine learning, with significant contributions to winter road maintenance technologies and Arctic infrastructure solutions. Her research focuses on: Advanced fluid mechanics and multiphase systems in industrial contexts Machine learning applications for Arctic transportation challenges Energy efficiency and renewable energy systems analysis Sensor technologies for industrial safety and environmental monitoring Thermodynamic modeling and heat transfer optimization Publication analysis reveals strong emphasis on predictive maintenance systems, alternative energy solutions, and Arctic-specific engineering challenges, with recent work increasingly incorporating AI/ML methodologies. She is an active member of the Materials Science research group and contributes to developing practical engineering tools for extreme climate conditions.

• Microbiology
• Veterinary Microbiology
• Microbial Ecology
• +۳ مورد دیگر

Cristina Galisteo Gómez is a Researcher in the Department of Animal Health at the Faculty of Veterinary Medicine, University of León, actively contributing to the DIGESPORC research group focused on digestive diseases of porcine livestock. Her work bridges veterinary medicine and environmental microbiology through cutting-edge investigations of microbial ecosystems. She completed her Doctorate at the University of Sevilla in 2024 with a thesis on prokaryotic diversity in hypersaline soils of the Odiel Saltmarshes Natural Area, supervised by Dr. Cristina Sánchez-Porro Álvarez and Dr. Antonio Ventosa Ucero. This foundational work established her expertise in extreme environment microbiology. Dr. Galisteo Gómez's research spans Microbiology, Veterinary Microbiology, and Microbial Ecology with specialized focus on halophilic microorganisms and porcine gut health. Her dual research trajectory examines both environmental microbial communities in hypersaline ecosystems and pathogenic mechanisms in swine dysentery, employing metagenomic, taxogenomic, and bioinformatic approaches to unravel microbial diversity and host-pathogen interactions. Analysis of her 2019-2025 publications reveals two dominant research streams: (1) the discovery of novel halophilic taxa from hypersaline environments (including Pseudidiomarina terrestris , Haloarcula terrestris , and Terrihalobacillus ), and (2) functional microbiota changes in Brachyspira hyodysenteriae -induced porcine dysentery. Her development of the 'gitana' phylogenetic visualization tool demonstrates interdisciplinary innovation connecting computational biology with microbial systematics. No scientific awards were documented in available sources. While specific grant details and student supervision records remain undisclosed, her continuous publication output indicates active research projects within the DIGESPORC framework. Collaborative patterns suggest strong partnerships with microbial taxonomists and veterinary pathologists, particularly through her work on taxonomic reclassifications and disease mechanisms. As a core member of the DIGESPORC research group, Dr. Galisteo Gómez contributes to the University of León's mission in animal health research, maintaining laboratory operations focused on both porcine digestive diseases and environmental microbiome characterization. Her team employs advanced genomic techniques to address antimicrobial resistance and sustainable livestock production challenges.

RICARDO JORGE LOPES EGIPTOمشاهده پروفایل

پژوهشگر

• Grape
• Irrigation
• Deficit Irrigation
• +۵ مورد دیگر

Ricardo Jorge Lopes Egipto is a researcher affiliated with the Faculty of Engineering at Instituto Superior de Agronomia , focusing on grapevine physiology, irrigation optimization, and climate change adaptation in Mediterranean viticulture systems. His work combines biophysical modeling, transcriptomic analysis, and sensory profiling of wine grape varieties. Research interests include: Deficit irrigation strategies Climate-resilient viticulture Wine aroma characterization Plant-water relations Energy flux dynamics in vineyards Recent publications demonstrate his expertise in: Machine learning for wine authenticity verification Soil moisture-plant transpiration linkages Transcriptomic responses to drought stress Abiotic stress-adapted grape varieties Biophysical modeling in extreme climates

• Coastal Engineering
• Hydrodynamics
• Numerical Modeling
• +۷ مورد دیگر

Dr. Ravindar Rajendran is a Post Doctoral Research Fellow Level I at the School of Civil Engineering, University College Dublin. He holds a PhD and MTech from the Indian Institute of Technology Madras and a BTech from the University of Pondicherry, India. His work focuses on coastal engineering, particularly the interaction between breaking waves and vertical seawalls with recurved parapets. BTech, University of Pondicherry, India MTech, Indian Institute of Technology Madras PhD, Indian Institute of Technology Madras His research interests lie in coastal structures , hydrodynamics , numerical modeling (OpenFOAM) , fluid-structure interaction , and scale effects in wave experiments . He investigates the mechanics of wave impact, pressure distribution, and force reduction through recurved parapets, combining large-scale physical experiments with high-fidelity numerical simulations. His work contributes to improving the design and retrofitting of coastal defenses against overtopping and structural loading. The recent publications (2019–2023) show a consistent focus on breaking wave impacts , scaling methods (Froude vs. Cuomo) , air entrapment effects , and geometric optimization of parapets . The studies often involve validation against large-scale experimental data from facilities like ForschungsZentrum Küste (FZK), Germany, and utilize advanced tools such as tactile pressure sensors and CFD solvers. The research spans both physical and numerical modeling, highlighting a multidisciplinary approach to coastal protection engineering. No scientific awards or honors are mentioned in the provided text. There is no information available about Dr. Rajendran’s advisory roles or grant funding. However, his extensive collaboration with researchers such as Sriram V, Schimmels S, Christou A, and Stagonas D indicates active participation in international research projects. His publications in journals like Coastal Engineering Proceedings , International Journal of Offshore and Polar Engineering , and Journal of Waterway, Port, Coastal and Ocean Engineering reflect strong engagement with the coastal engineering community. While no specific lab or research group name is mentioned, Dr. Rajendran is affiliated with the School of Civil Engineering at University College Dublin, where he conducts research on wave-structure interactions. His work appears to be part of a larger effort in coastal resilience and infrastructure protection, likely involving partnerships with European research centers such as FZK. The use of OpenFOAM and waves2Foam suggests involvement in computational fluid dynamics (CFD)-based research groups or collaborations focused on high-performance simulation of environmental flows.

• Remote Sensing
• Urban Hydrology
• Water Resources Management
• +۳ مورد دیگر

Dr. Salman Khan serves as a Postdoc Research Fellow Level II at the School of Civil Engineering, University College Dublin, focusing on critical intersections of urban environmental monitoring, hydrological systems, and sustainable resource management. His work bridges remote sensing technologies with practical climate adaptation solutions for rapidly urbanizing regions. Education: BSc in Engineering and Technology from University of Engineering and Technology, Peshawar, Pakistan MSc from Hohai University, Nanjing, Jiangsu, China PhD from Hohai University, Nanjing, Jiangsu, China Dr. Khan's research spans advanced remote sensing applications for urban impervious surface mapping, green infrastructure hydrology, and water security frameworks. His methodological innovations include automated pixel purification algorithms for hyperspectral imagery and machine learning-driven hydrological modeling of green roof systems. He investigates forest dynamics in the Brazilian Amazon to assess sustainable logging practices and develops comprehensive water security indices for developing nations. His multilingual capabilities (English, French, Mandarin, Urdu, Pashto) facilitate international collaborations across Europe, Asia, and South America. Analysis of his publication trends reveals dominant themes in urban environmental monitoring using hyperspectral and satellite data, with growing emphasis on nature-based flood mitigation solutions. His work consistently integrates advanced computational techniques (Random Forest, SVR, XGBoost) to address data-scarce environments in hydrology and forestry, demonstrating strong translational impact for urban planners and environmental policymakers. No scientific awards were documented in the provided materials. Dr. Khan's research is supported through institutional affiliations at University College Dublin, where he utilizes campus green roof installations for empirical hydrological studies. Current projects include community-centric rainfall monitoring networks and phosphate emission modeling in Irish waterways, though specific grant details remain unreported. He operates within UCD's School of Civil Engineering research ecosystem, collaborating with international teams on projects spanning Dublin's urban landscapes, the Brazilian Amazon, and Pakistan's federal capital. His work on the Driminagh Neighbourhood flood mitigation study exemplifies community-engaged research approaches for climate resilience.

Gabriele Nebeمشاهده پروفایل

استاد

• representation theory of finite groups
• number theory
• discrete mathematics
• +۳ مورد دیگر

Gabriele Nebe is a Professor at RWTH Aachen University, specializing in the interplay between representation theory, number theory, and discrete mathematics. Her research emphasizes computational methods, symmetry exploitation, and concrete examples to advance mathematical structures like extremal lattices and coding theory. Key Contributions: Constructed new extremal lattices in dimensions 48 and 72; co-developed a framework connecting invariant theory and coding theory with Eric Rains and Neil Sloane. Collaboration: Affiliated with the Max Planck Institute for Mathematics in the Sciences' Nonlinear Algebra group (2017–2022). Her work bridges abstract theory with algorithmic experimentation, focusing on classification problems and applications in mathematical physics.

Jinan Fiaidhiمشاهده پروفایل

استاد

• Thick Data Analytics
• Deep Learning
• Few Shots Learning
• +۱۲ مورد دیگر

Dr. Jinan Fiaidhi is a Professor of Computer Science at Lakehead University, Canada since 2001. She served as Graduate Coordinator for the MSc and PhD programs in Computer Science and Biotechnology. She holds adjunct positions at the University of Western Ontario. Her academic journey includes degrees from Essex University (PgD, 1983) and Brunel University (PhD, 1986). She has held academic roles at institutions like Sultan Qaboos University and Philadelphia University prior to Lakehead. Her research focuses on Thick Data Analytics , Deep Learning , and Collaborative Learning , with applications in healthcare, medical imaging, and AI-driven diagnostics. She is a Professional Engineer (PEng) in Ontario and a Senior Member of IEEE. She chairs the IEEE Special Interest Group on Big and Thick Data for eHealth and founded the International Journal of Extreme Automation and Connectivity in Healthcare (IJEACH) as its Emeritus Editor-in-Chief. Her research is funded by NSERC and MITACS grants. Key projects include developing frameworks like QL4POMR for problem-oriented medical records and applying thick data analytics to Crohn’s disease, ulcerative colitis, and cataract severity analysis. Education: PhD in Computer Science, Brunel University (1986) PgD in Computer Science, Essex University (1983) Awards: None explicitly listed, but holds professional designations: PEng, IEEE Senior Member, ISP (CIPS), and MBCS (Chartered Computing). Grants: NSERC, MITACS (specific projects unspecified). Labs/Teams: Leads IEEE eHealth initiatives and collaborates on projects involving thick data analytics in healthcare interoperability and extreme automation.

Angélica Bianchini Sanchezمشاهده پروفایل

پژوهشگر

• Microbiology
• Genomics
• Plant Pathology
• +۳ مورد دیگر

Angélica Bianchini Sanchez is a Postdoctoral Associate in the Department of Entomology at Cornell University, affiliated with the McArt Lab. Her research focuses on microbial genomics, environmental microbiology, and the biotechnological applications of plant-associated bacteria. She investigates mechanisms of microbial adaptation in extreme environments, plant-microbe interactions, and DNA damage responses in organisms exposed to environmental stressors. Her work spans diverse ecosystems, including cactus and crop microbiology, amphibian microbiomes, and ironstone plant communities. She develops advanced analytical techniques like HPLC-MS/MS for detecting DNA lesions and has contributed to understanding pathogen genomics (e.g., Xanthomonas) and biocontrol strategies for agricultural diseases. Her recent studies highlight genomic insights into beneficial bacterial strains, microbial diversity in endangered species, and the ecological impacts of anthropogenic stressors like arsenic exposure. Sanchez’s interdisciplinary approach bridges microbiology, biochemistry, and environmental science, with applications in sustainable agriculture, conservation biology, and toxicology. Her research also explores redox stress mechanisms, biomarker development for pollution exposure, and the functional role of microbial symbionts in plant and animal health. She collaborates on projects ranging from bacterial genome sequencing to field-based ecological studies, emphasizing translational applications in biotechnology and environmental management.

• Data Science
• Natural Language Processing
• Computational Social Science
• +۳ مورد دیگر

Michael Miller Yoder is a Teaching Assistant Professor at the School of Computing and Information at the University of Pittsburgh . He holds a PhD from Carnegie Mellon University's Language Technologies Institute, advised by Carolyn Penstein Rosé. His research focuses on data science, natural language processing, and computational social science , with emphasis on analyzing social interaction, identity expression, and ethical implications of technology. Prior to Pitt, he was a postdoctoral researcher at CMU's Center for Applied Research on Targeted Violence (CARVt) and IDeaS Center, advised by Kathleen M. Carley and David West Brown. Education: PhD in Language Technologies, Carnegie Mellon University (2021) MSc in Language Technologies, Carnegie Mellon University BSc in Communication Studies & Rhetoric, Cornell University His work addresses online hate speech, white supremacist extremism, and game design ethics, leveraging text analysis and computational methods. Notable contributions include developing the FanfictionNLP pipeline and StoryQ educational tool. He has received the Best Student Paper Award at IJCNLP 2017 and collaborates with organizations like the Collaboratory Against Hate. Key Projects: White supremacist language classification (ACL 2023) Analysis of misogyny in gaming environments (2024) Computational models of identity presentation Yoder's research bridges technical innovation with societal impact, focusing on mitigating online harm while advancing educational accessibility through AI-driven tools.

María Ángeles Pérez-Navarroمشاهده پروفایل

پژوهشگر

• Biogeography
• Plant Invasions
• Global Change Ecology
• +۳ مورد دیگر

Dr. María Ángeles Pérez-Navarro is a Researcher at King's College London's Department of Geography (School of Global Affairs). Her work focuses on biogeography, plant invasions, and global change impacts. She collaborates on the AlienImpacts project predicting alien plant effects on biodiversity and contributes to the Geocomputation and Data Science Research Hub. Her PhD (2020) from the Autonomous University of Barcelona studied plant species climatic niches under extreme drought. Key research themes include ecological niche modeling, drought resilience, and community ecology dynamics. Education: PhD Terrestrial Ecology (2020), MSc Environmental Management (2015), BSc Biology (2014) Her research bridges biogeography with global change, analyzing plant species responses to climatic extremes. Recent work explores spatial scale misrepresentations in ecological studies and enemy-release mechanisms in grasslands. She is affiliated with the PEBES group studying political ecology and biodiversity conservation.