جست‌وجوی استاد و پژوهشگر

Xuhua Xiaمشاهده پروفایل

استاد

• Bioinformatics
• Genomics
• Molecular Phylogenetics
• +۷ مورد دیگر

Xuhua Xia is a Full Professor in the Department of Biology at the University of Ottawa's Faculty of Science. He holds a BSc from Jiangxi University (1982) and a PhD from the University of Western Ontario (1990). His research focuses on molecular and cellular biology, bioinformatics, genomics, and evolutionary molecular genetics. Key interests include mitochondrial biology, host-parasite interactions, microbial genomic evolution, and computational tool development. His lab develops methods for analyzing genetic data, such as the DAMBE software suite. Research themes include (1) vertebrate mitochondrial systems, (2) molecular mechanisms of pathogen emergence through recombination and horizontal gene transfer, (3) molecular phylogenetics, (4) genomic evolution of microbes, and (5) alternative splicing origins. Recent work addresses SARS-CoV-2 genomic integrity, antibiotic resistance, and antiviral drug design. Publications emphasize genomic analysis, pathogen evolution, and computational methods. Notable contributions include phylogeographic studies of invasive species, alignment optimization algorithms, and molecular docking studies of drug candidates. His work bridges fundamental biology with applied challenges in medicine and conservation. Xia's lab collaborates on projects involving bacterial phages, fungal metabolites, and computational tools for phylogenetic analysis. No students are explicitly listed, but his research spans interdisciplinary teams in genomics and bioinformatics.

Michael Klippelمشاهده پروفایل

مدرس

• Timber Engineering
• Fire Safety
• Sustainable Materials
• +۲ مورد دیگر

Dr. Michael Klippel is a Lecturer and Senior Scientist at the Institute of Structural Engineering, Timber Structures (IBK) at ETH Zurich. He specializes in Timber Engineering, Fire Safety, and Sustainable Materials, leading the 'Fire in Timber Group' since 2014. Klippel coordinates the MAS ETH Fire Safety Engineering program and focuses on advancing timber construction standards. His academic background includes a Dipl.-Ing. in Civil Engineering (2009) from RWTH Aachen University and a Dipl.-Wirt.Ing. in Business Management (2013). Research Interests: Klippel's work bridges structural engineering and fire safety, emphasizing innovative timber applications, carbon-neutral construction, and interdisciplinary projects. His research addresses challenges like fire-resistant CLT design, adhesive performance under fire, and sustainable material utilization. Publications: Key contributions include studies on tall timber structures, carbon credits in real estate, and fire behavior of CLT. His work appears in journals like Sustainability and Journal of Renewable Materials , alongside industry guides and reports. Awards: Honors include the L.J. Markwardt Award (2019), Leo Schörghuber-Preis (2015), and F.C. Trapp-Preis (2010). He also won a VDI student competition for a UHPC bridge design in 2008. Grants & Labs: Klippel leads the 'Fire in Timber Group' and collaborates with industry on standardization projects. His work integrates academic research with practical applications in construction safety and sustainability.

• Thermofluids
• Nanoscale Heat Transfer
• Surface Wettability
• +۳ مورد دیگر

Dr. Rohit Pillai is a Senior Lecturer in Mechanical Engineering at the University of Edinburgh's School of Engineering. His research focuses on multiscale thermofluids phenomena including nanoscale heat transfer, surface wettability, bubble dynamics, and ice nucleation. He leads the NANO-COOL project developing nanomaterial-enhanced thermal management systems. Education: PhD, University of Melbourne (2017) MSc, University of California, Davis (2012) Research interests center on interfacial phenomena at micro/nanoscales, with applications in thermal management systems, surface engineering, and phase-change processes. Key areas include electrohydrodynamics of droplets, nanoscale bubble nucleation, vibration-induced ice formation, and solid-liquid interfacial heat transfer. Recent publications show a consistent focus on nanoscale surface effects, interfacial transport phenomena, and phase-change dynamics. Articles frequently integrate computational modeling with experimental insights to explore fundamental mechanisms in surface-dominated processes. Active in the Multiscale Thermofluids Research group and collaborates internationally on projects involving molecular simulations of interfacial phenomena. Currently leads the EPSRC-funded NANO-COOL project (2024-2029) on advanced cooling systems.

Xijin Geمشاهده پروفایل

استاد

• Bioinformatics
• Artificial Intelligence
• Data Science
• +۳ مورد دیگر

Xijin Ge is a Professor in the Department of Mathematics and Statistics at South Dakota State University (SDSU). His research focuses on bioinformatics, artificial intelligence (AI), and data science, particularly in analyzing genomic datasets and developing tools like iDEP and ShinyGO. He holds a Ph.D. in Engineering from the University of Tokyo (2000), an M.S. in Condensed Matter Physics from Beijing University of Science and Technology (1997), and a B.S. in Applied Physics from the same institution (1994). Dr. Ge teaches courses such as STAT 435/535 (Applied Bioinformatics), STAT 736 (Bioinformatics), and STAT 414/514 (Basic R Programming). His research emphasizes tools for genomic data interpretation, AI-driven data analysis, and large language models like ChatGPT for visualization. His work has led to significant grants, including a $12 million NIH grant (BioSNTR-II) for translational research and a $25 million NSF-funded project (BioSNTR). His publications span bioinformatics, genomics, and computational methods, with notable contributions to RNA-Seq analysis, gene expression profiling, and software development. He leads the Ge Lab, advancing interdisciplinary research and education in data science and bioinformatics.

Aixi Zhouمشاهده پروفایل

استاد

• Fire Engineering
• Engineering Materials and Structures
• Manufacturing
• +۳ مورد دیگر

Dr. Aixi Zhou is the Vice Provost for Research & Innovation and a Professor of Engineering at Norfolk State University. Previously, he served as Department Chair of Applied Engineering Technology at North Carolina A&T State University (2018–2024) and Professor of Fire Protection at the University of North Carolina at Charlotte (2007–2018). His expertise spans fire engineering, materials science, manufacturing, and engineering education. He has secured over $9M in research funding as lead or co-PI, including directing the DoD-sponsored ACE machine tools hub. Dr. Zhou authored/co-authored three books, over 100 technical publications, and holds a Professional Engineer license in fire protection. He is a SFPE Fellow and serves on committees for ASCE, SFPE, and the National Academies. Education: Ph.D. in Engineering Mechanics from Virginia Tech Key Roles: Founding Director of ACE Hub, ABET Engineering Accreditation Commissioner Research Focus: Firebrand prediction, fire-resistant materials, wildfire mitigation, and engineering education innovation His work emphasizes fire safety in infrastructure, including tunnel resilience, composite material performance under fire, and wildland-urban interface risks. He leads interdisciplinary projects integrating machine learning for fire spread prediction and emergency response systems.

• Signal Processing
• Financial Signal Analysis
• Machine Learning
• +۵ مورد دیگر

Ali Akansu is a Professor in the Department of Electrical and Computer Engineering at NJIT. His academic career spans multiple decades, with significant contributions to signal processing, financial engineering, and multimedia communications. He has led or co-led four major NSF-funded projects, including the Center for Digital Video & Media Research and the Laboratory for Multimedia Signal Processing and Communication. His research focuses on topics such as eigenanalysis for financial portfolios, machine learning in network analysis, and multimodal affective state assessment using EEG and fNIRS. Key research areas include financial signal processing, portfolio optimization, eigensubspace applications, and data hiding techniques. Notable projects involve FPGA-based real-time risk analysis systems and GPU implementations for eigenportfolio analysis. He has published over 190 peer-reviewed articles, with impactful work in journals like Journal of Investment Strategies and Brain Sciences . His recent work combines machine learning with signal processing to address challenges in network traffic forecasting and financial market dynamics. He has also contributed to biomedical signal processing through studies on affective state assessment using neuroimaging techniques. Awards and recognitions include a h-index of 27 and over 2,694 citations. Grants: National Science Foundation (1991-1993, 1997-2002): Real-Time Color Video Workstation, Multimedia Signal Processing Lab, and Digital Video Research Center Labs/Teams: Leadership in NJIT's Laboratory for Multimedia Signal Processing and Financial Signal Processing groups

• Theoretical evolutionary biology
• Major transitions in evolution
• Origin of life
• +۵ مورد دیگر

Eörs Szathmáry is a Professor at the Department of Plant Taxonomy and Ecology , Eötvös Loránd University, Budapest. He serves as Director of the Parmenides Center for the Conceptual Foundations of Science and has been a Guest Professor at LMU Munich since 2011. He is a Vice Chairman of the COST CM0703 Action (Systems Chemistry) and a member of the Academia Europaea and Hungarian Academy of Sciences . Education: Specific details not provided, but his career spans prestigious institutions including the Wissenschaftskolleg zu Berlin (1992–1993) and National Institute for Medical Research, London (1991–1992). Research Interests focus on theoretical evolutionary biology , particularly the common principles of major evolutionary transitions such as the origin of life, cells, animal societies, and human language . His work integrates mathematical modeling, metabolic control theory, and genetic code analysis to explore evolutionary optimality and information integration in biological systems. Scientific Awards include the New Europe Prize (1996) , D.Sc. from the Hungarian Academy of Sciences (1997) , and Prize of the Hungarian Academy (1999) . He has been a member of Academia Europaea (2001) and invited to institutions like the College de France (2004) . Publications emphasize evolutionary transitions , with seminal works on the genetic code, RNA world, and protocell models . His 2008 papers address catalytic propensity of amino acids, computational evolutionary models, and language origins . Labs and Teams include the Parmenides Foundation (core team member), the Konrad Lorenz Institute for Evolution and Cognition Research (board member), and leadership in the COST Systems Chemistry Action .

• Finite groups
• Finite geometries
• Combinatorics
• +۳ مورد دیگر

Ulrich Dempwolff is a retired Professor of Mathematics at the University of Kaiserslautern, affiliated with the Department of Mathematics. He holds a Ph.D. from the University of Mainz (1970) and a Habilitation from the University of Heidelberg (1973). His career at the University of Kaiserslautern began in 1976, and he retired in 2010. Research focuses on finite groups, finite geometries, combinatorics, and algebraic structures. He has contributed to studies on hyperovals, translation planes, permutation polynomials, and symmetric designs. Notable work includes investigations into APN functions, bent functions, and incidence geometries. Publications highlight expertise in finite field applications, design theory, and group-theoretic approaches to geometric configurations. His work spans over four decades with contributions to journals like 'Journal of Algebraic Combinatorics', 'Finite Fields and Their Applications', and 'Designs, Codes and Cryptography'. Advised doctoral students including Marc Röder (2006) and Andrea Mindnich (2007). Active in the Algebra, Geometry & Computer Algebra research group.

• Permutation Groups
• Design Theory
• Combinatorial Geometry
• +۵ مورد دیگر

Alessandro Montinaro is an Associate Professor at the Department of Mathematics and Physics 'Ennio De Giorgi' of the University of Salento, located in Lecce, Italy. His research focuses on combinatorial geometry, permutation groups, design theory, cryptography, and coding theory. He has been affiliated with the University of Salento since 2008, following a PhD in Mathematics (2005) and a research grant period (2005-2008). He obtained the National Scientific Qualification for the role of Full Professor in the sector 01/A2 (Algebra and Geometry). Education: Bachelor's in Mathematics (2001), University of Salento, Thesis: '2-transitive orbits in finite projective planes.' PhD in Mathematics (2005), University of Salento, Thesis: 'The Bounded Cofman Problem.' Research Interests: Projective planes and their automorphism groups. Linear spaces with parallelism and group partitions. t-spreads and t-parallels in projective spaces over Galois fields. Flag-transitive automorphism groups of 2-(v,k,λ) designs. Quasi-Hermitian varieties. Professional Milestones: Researcher at University of Salento (2008–2015). Associate Professor since 2015. AUTHOR of over 40 publications in combinatorial geometry and permutation groups.

Eric Seymourمشاهده پروفایل

دانشیار

• Housing Policy
• Urban Planning
• Community Development
• +۴ مورد دیگر

Eric Seymour is an Associate Professor at the Bloustein School of Planning and Public Policy, Rutgers University. He holds a Ph.D. in Urban and Regional Planning from the University of Michigan, an MURP from the University of Florida, and a B.A. in American Literature & History from Harriet L. Wilkes Honors College. His research focuses on housing dynamics in declining urban areas, including post-crisis housing markets, corporate landlord practices, and evictions. He employs GIS and quantitative methods to analyze urban policy impacts on low-income communities. Education: Ph.D. Urban and Regional Planning (University of Michigan), MURP (University of Florida), B.A. American Literature & History (Harriet L. Wilkes Honors College). Research interests include urban policy, spatial demography of population loss, and the role of exploitative landlords in housing insecurity. His work examines investor behavior in foreclosed housing markets and the intersection of eviction trends with racial and economic inequality. Key contributions address corporate landlord networks, pandemic-eviction patterns, and Detroit’s urban decline. Publications highlight topics like REO properties, post-foreclosure pathways, and the 'eviction economy.' His interdisciplinary approach bridges urban planning, public health, and economics to advocate for equitable housing solutions. Advising and grants involve ongoing projects on housing disparities and community development. His research is aligned with the Bloustein School’s mission to address urban challenges through policy and spatial analysis.

Simon Musallمشاهده پروفایل

استادیار

• Neural Network Function
• Decision-making
• Multisensory Processing
• +۳ مورد دیگر

Prof. Simon Musall is an Assistant Professor of Neuromodulation at RWTH Aachen University and Head of the in-vivo Neurophysiology Lab at Forschungszentrum Jülich. His research focuses on understanding how multisensory information is integrated in neural networks to guide behavior, particularly in mice performing cognitive tasks. He employs advanced techniques like high-density electrophysiology and functional imaging to study cortical networks, pathway-specific information transfer, and neuromodulation effects. Key research interests include neural network function, decision-making mechanisms, and neuromodulation's role in information processing. His lab develops cutting-edge neurotechnology, such as flexible neural probes and organic neurohybrid systems, to advance in vivo recordings and closed-loop control. Collaborative projects integrate computational neuroscience with experimental approaches to dissect cortical circuit dynamics and their behavioral correlates. Recent work highlights contributions to spike sorting algorithms (UnitRefine), network dynamics modeling (Riemannian multi-scale decomposition), and enzyme-mediated neurohybrid interfaces. His interdisciplinary approach bridges basic neuroscience with translational tools for studying neurodevelopmental and psychiatric conditions.

• Machine Learning
• Artificial Intelligence
• Data Mining
• +۴ مورد دیگر

Feng Jiang is a Professor at Nanjing University's School of Computer Science and Technology, Department of Computer Science and Technology. With an extensive publication record spanning from 1999 to 2025, Professor Jiang has established himself as a prominent researcher in multiple computer science domains. His research interests include Machine Learning, Artificial Intelligence, Data Mining, Software Engineering, and Computer Vision. Professor Jiang's work demonstrates significant interdisciplinary applications, ranging from healthcare and bioinformatics to industrial manufacturing and agricultural technology. His research approach often combines theoretical advancements with practical implementations, addressing real-world challenges across diverse sectors. Analysis of his recent publications reveals a strong focus on deep learning applications, graph neural networks, and ensemble methods. His work shows consistent contributions to both theoretical frameworks and practical implementations, with particular emphasis on software engineering applications, computer vision systems, and biomedical informatics. The breadth of his research indicates active collaborations across multiple institutions and disciplines. Professor Jiang has supervised numerous research projects resulting in publications across top-tier journals including IEEE Access, Expert Systems with Applications, and Knowledge-Based Systems. His work has been consistently published in high-impact venues, demonstrating sustained research productivity and relevance in the field.

Xu Wangمشاهده پروفایل

دانشیار

• Optical Communication
• Photonics
• Fiber Optics
• +۵ مورد دیگر

Xu Wang is an Associate Professor at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Photonics and Quantum Sciences. His research focuses on optical communication systems, underwater wireless optical communication, fiber Bragg grating (FBG) sensing, and signal processing using machine learning. He leads efforts in secure optical communication, nanotechnology for sensing, and turbulence-resistant underwater systems. Notable projects include developing deep learning-based signal processing for UWOC and reviewing novel FBG sensing materials. His work contributes to UN Sustainable Development Goals related to industry, innovation, and infrastructure. Dr. Wang has published extensively, with over 150 peer-reviewed articles since 1999. Recent trends in his publications emphasize underwater communication systems, secure optical encryption, and interdisciplinary applications of photonics. Collaborations span international institutions, particularly in Europe and Asia. Key Research Areas: Underwater Communication, Optical Sensing, Secure Networks, Nanomaterials Recent Achievements: 2024 Review on FBG Sensing, 2023 Deep Learning in UWOC, 2021 Quantum-Enhanced Encryption Systems No scientific awards are explicitly listed, though his prolific output suggests significant recognition. His lab focuses on translating theoretical innovations into practical systems for harsh environments and secure data transmission.

Philip Resnikمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing (NLP)
• Machine Learning
• +۶ مورد دیگر

Philip Resnik is a Professor in the Department of Linguistics at the University of Maryland, College Park, and holds affiliate appointments in the Department of Computer Science and the Institute for Advanced Computer Studies (UMIACS). He is a member of the Maryland Language Science Center and leads research at the intersection of computational linguistics, mental health analytics, and computational social science. His work spans natural language processing (NLP), psycholinguistics, and neurolinguistics, with applications in healthcare, political science, and neuroscience. Research Interests: Computational linguistics, machine learning, mental health analytics (e.g., suicide risk prediction), political communication, and neuroimaging of language processing. Resnik has pioneered methods for analyzing language in clinical contexts, such as identifying mental health signals in social media and EHR data, and has contributed to foundational NLP techniques like topic modeling and sentiment analysis. Key Projects: Development of the React Labs platform for real-time public reaction analysis during political debates, seed grants for computational modeling of schizophrenia symptoms, and leadership in the CLPsych workshops. His NIH-funded research includes studying neural correlates of speech perception and collaborative decision-making in legislative contexts. Awards & Recognition: ACL Fellow (2020), NSF MURI Award (2018), Amazon Research Award (2021), and multiple best paper awards. Resnik’s interdisciplinary work bridges academia and industry, with collaborations at Amazon, FiscalNote, and the Coleridge Initiative. Education: Ph.D. in Linguistics from the University of Pennsylvania (1993).

Michael Gormleyمشاهده پروفایل

استاد

• Water Supply and Sanitation
• Building Services Engineering
• Public Health Engineering
• +۳ مورد دیگر

Michael Gormley is a Professor at the School of Energy, Geoscience, Infrastructure and Society at Heriot-Watt University, with over 35 years of experience in industry and academia. He specializes in water supply, sanitation, and building services engineering, with particular expertise in drainage systems and public health engineering. He holds a PhD from Heriot-Watt University (2004), an MPhil (2002), and an MSc in Building Services Engineering (1998). His work contributes to UN Sustainable Development Goals related to clean water and sanitation (SDG 6) and sustainable cities (SDG 11). Education Background: MSc in Building Services Engineering (Heriot-Watt University, 1998, Distinction) MPhil in Drainage Engineering (2002) PhD in Solid Transport in Drainage Systems (2004) Research Interests: Numerical modeling of fluid flows in water systems Building drainage product development Public health engineering and pathogen cross-transmission prevention Water sanitation in low-income communities Drainage system defect detection technologies His PRoBE initiative investigates pathogen transmission in built environments through interdisciplinary collaboration with microbiologists and engineers. Recent Articles Trends: Focus on wastewater plumbing systems, pathogen transmission mechanisms, and innovative defect detection methods. Key themes include pandemic mitigation strategies, hospital sanitation, and sustainable sanitation in disaster zones. Scientific Awards: Carter Bronze Medal (2007) for best original research paper in building services engineering. Advising & Grants: Continuous research funding since 2006. Manages advanced facilities like the Drainage Test Rig and Hydraulics Flume. Advises on international projects including pro-poor sewerage systems and post-tsunami housing solutions. Labs/Teams: Leads the Pathogen Research in the Built Environment (PRoBE) team and oversees equipment like the Reflected Wave Technique system for sewer monitoring.