جست‌وجوی استاد و پژوهشگر

• Stratigraphic Geology
• Sedimentology
• Quaternary Geology
• +۳ مورد دیگر

Luigi Bruno is an Associate Professor in the Department of Chemical and Geological Sciences at the University of Modena and Reggio Emilia. His research focuses on stratigraphic geology, sedimentology, and Quaternary depositional systems with particular emphasis on the Po Basin and Adriatic coastal regions. He teaches graduate courses including Stratigraphic Geology and Geological Maps and Geological Surveying , emphasizing field methods and geomorphological interpretation. His studies integrate sedimentology, geochemistry, and stratigraphic analysis to investigate fluvial-coastal interactions, paleoenvironmental reconstruction, and anthropogenic impacts. Key contributions include: Quantifying Holocene subsidence patterns through 3D geological modeling Reconstructing Pleistocene-Holocene sedimentary architecture using multi-proxy data Documenting climate-driven shifts in sediment provenance and pedogenesis Recent work highlights the role of glacio-eustatic cycles in shaping deltaic systems and the importance of tectonic activity in subsurface deformation. His research has practical applications in geohazard assessment, land-use planning, and subsurface resource management.

Mehmood Chadharمشاهده پروفایل

مدرس ارشد

• Blockchain Adoption
• Enterprise Resource Planning (ERP) Systems
• IT and Organizational Change
• +۵ مورد دیگر

Dr. Mehmood Chadhar is a Senior Lecturer in Enterprise Computing and Projects at Federation University Australia's Institute of Innovation, Science and Sustainability (IISS). He holds a PhD in Information Systems from UNSW Australia and additional qualifications in Information Technology and Education. His research focuses on blockchain adoption, enterprise systems, IT-driven organizational change, and business simulation games' impact on workforce readiness. Chadhar has supervised eight PhD students since 2016, addressing topics like cybersecurity resilience in crises, blockchain applications in healthcare and energy sectors, and ERP simulation efficacy in higher education. He actively contributes to program coordination and academic governance committees within his school. His recent work emphasizes digital resilience frameworks for crisis management, cybersecurity strategies in higher education, and actor-driven blockchain adoption models. Over 12 academic publications since 2017 reflect his interdisciplinary approach, integrating technology, organizational behavior, and pedagogical innovation. Chadhar's professional certifications include SAP ERP expertise, ERP Simulation Games Instructor Level 2, and advanced analytics tools like Tableau and IBM Watson. He maintains active memberships with SAP Australia and the Australian Computer Society.

• Business Process Management
• Distributed Simulation
• Model-Driven Engineering
• +۴ مورد دیگر

Paolo Bocciarelli is affiliated with the University of Rome Tor Vergata , specifically within the Department of Industrial Engineering under the College of Engineering . His work focuses on business process modeling and simulation , leveraging model-driven engineering and distributed simulation to enhance system automation and interoperability. Teaches Service-oriented Software Engineering and other software/systems courses Research emphasizes MSaaS (Modeling and Simulation as a Service) , HLA (High-Level Architecture) , TOSCA , and IoT-aware systems His recent publications (2025–2024) address collaborative business processes in distributed environments, XES extensions for simulation, HLA-based interoperability, and predictive process mining using ebPMN. Earlier works (2023–2019) explore resource modeling, IoT integration, federated MSaaS infrastructures, and microservice-based simulations. He has no listed scientific awards or students in the provided data.

Ivan Corwinمشاهده پروفایل

استاد

• Probability Theory
• Mathematical Physics
• Random Matrix Theory
• +۳ مورد دیگر

Ivan Corwin is a Professor of Mathematics at Columbia University’s Faculty of Arts and Sciences and a member of the Data Science Institute (DSI). He holds affiliations with the Irving Center for Cancer Dynamics, Probability and Society Initiative, Program for Mathematical Genomics, and Quantum Initiative. He previously held positions at Microsoft Research, MIT, Institut Henri Poincaré (as a Poincaré Chair), UC Berkeley (as a Visiting Miller Professor), and others. His research focuses on probability and mathematical physics, particularly random interface growth, interacting particle systems, stochastic PDEs, and random matrix theory. Education: He earned his PhD from the Courant Institute in 2011. Research interests include KPZ universality, stochastic PDEs, and integrable probability models like ASEP, six-vertex models, and log-gamma polymers. His work bridges theoretical analysis and applications in non-equilibrium statistical mechanics, with recent trends emphasizing stationary measures, universality, and fluctuation behaviors. Awards include the 2021 Loeve Prize in Probability, 2018 Alexanderson Award, and fellowships from Clay Mathematics Institute, Packard Foundation, and Simons Foundation. He serves on scientific advisory boards for ICERM and MSRI. Advising and Grants: No specific grants or advisees listed, but his work has been supported by major fellowships. His affiliations with DSI and other institutes suggest involvement in collaborative projects. Labs/Teams: Active in interdisciplinary initiatives like the Probability and Society Initiative and Quantum Initiative, reflecting his focus on applying stochastic theory to complex systems.

• Cloud Computing Security
• Network Security
• Intrusion Detection
• +۵ مورد دیگر

Mouad Lemoudden is a Lecturer in Cybersecurity at the School of Computing, Engineering and the Built Environment, Edinburgh Napier University. He is affiliated with the Blockpass Identity Lab and the Centre for Cybersecurity, IoT and Cyberphysical Systems. PhD in Computer Science (2017) from Mohammed V University, Morocco Postdoctoral Researcher at Inria (2020) Research Interests revolve around data-centric tools in cybersecurity, including cloud security, network security, intrusion detection systems, adversarial behaviors, distributed ledger technology, digital identity, and privacy. His work explores quantum-enhanced cybersecurity analytics and graph-based threat modeling. Notable Publications include studies on post-quantum cryptography, graph theory in cloud security, and quantum machine learning for botnet detection. His research spans cloud logging standards, big data analytics, and identity federation challenges. Scientific Awards include recognition as an Associate Fellow of the Higher Education Academy (AFHEA). Supervision includes PhD projects on quantum machine learning for cybersecurity and metamaterials for sound insulation. Students under his guidance include Madjid Golparvaran Tehrani and collaborative projects with Dr. Nick Pitropakis and Prof. Bill Buchanan.

Thomas Kellyمشاهده پروفایل

استاد پژوهشی

• Biological Pump
• Carbon Export
• Ecosystem Modeling
• +۳ مورد دیگر

Thomas Kelly is a Research Assistant Professor at the University of Alaska Fairbanks, specializing in Biological Oceanography. His primary affiliation is with the Northern Gulf of Alaska (NGA LTER) program. He earned his Ph.D. in Biogeochemical Oceanography from Florida State University (2020), an M.S. in Oceanography (2016), and a B.S. in Biochemistry from Boston College (2014). Dr. Kelly’s research focuses on marine biogeochemical cycles, particularly the biological pump and carbon export mechanisms. He employs observational methods, including sediment traps and in situ measurements, combined with modeling approaches like ecosystem models and machine learning. His work emphasizes understanding how physical environments influence marine ecosystems and quantifying carbon sequestration pathways in subarctic and coastal regions. His recent publications highlight advancements in quantifying carbon export efficiency in the Gulf of Alaska, salp-driven carbon sequestration in the Southern Ocean, and lateral advection impacts in open-ocean systems. Collaborative projects include studies on Sargassum biogeochemistry and nutrient dynamics in the western Atlantic. Dr. Kelly advises four graduate students and has mentored lab members in technical roles like filmography and field sampling. He actively develops open-source tools for oceanographic data analysis, including R packages for grid mapping and shipboard data logging.

• Business Process Management
• Process Mining
• Artificial Intelligence
• +۳ مورد دیگر

Henrik Leopold is a Professor affiliated with Kühne Logistics University and Hasso Plattner Institute. His research focuses on Business Process Management (BPM), Process Mining, and the application of AI technologies like Large Language Models (LLMs) in process automation. He has co-authored over 138 publications, including impactful works on process mining in supply chains, robotic process automation effects, and explainable anomaly detection in event logs. Key research interests include: Process Mining & Business Process Optimization AI-driven Process Automation Process Model Matching & Compliance Checking Natural Language Processing in BPM Process Analytics & Data-Driven Decision-Making Recent work emphasizes interdisciplinary approaches combining process mining with LLMs for tasks like event log extraction and prompt engineering. He actively contributes to BPM conferences such as BPM, CAiSE, and HICSS, often serving as program committee member. His research addresses both technical challenges (e.g., anomaly detection) and organizational aspects (e.g., process automation adoption barriers). Notable contributions include development of Sketch2Process for BPMN sketch recognition and foundational work on process model validation. Current activities explore future directions in BPM through collaborative ranking of research challenges and benchmarking LLM capabilities for process tasks.

• Functional Data Analysis
• Statistical Modeling of Neuronal Spike Trains
• Nonparametric Methods on Point Processes
• +۷ مورد دیگر

Wei Wu is a Professor in the Department of Statistics and an Associate Graduate Faculty member in the Program in Neuroscience at Florida State University (FSU). He holds a Ph.D. in Applied Mathematics from Brown University (2004). His research focuses on interdisciplinary statistical methods for neuroscience, functional data analysis, and computational statistics. Key contributions include frameworks for spike train analysis, statistical depth in point processes, and registration of functional data using Fisher-Rao metrics. Affiliations: Department of Statistics, Program in Neuroscience Education: Ph.D. in Applied Mathematics, Brown University (2004) Research Interests: Functional data registration, nonparametric methods for point processes, neural spike train modeling, statistical depth analysis, and applications in birdsong production and computational neuroscience. He develops tools for analyzing complex data structures in neuroscience and biostatistics, emphasizing geometric and Bayesian approaches. His work spans statistical modeling of neural coding, protein structure comparison, and signal processing under compositional noise. Recent publications include advancements in stochastic models for time warping and depth-based statistical inference in point processes. Collaborations: Active with researchers in neuroscience, mathematics, and bioinformatics at FSU and other institutions.

Kenneth G. Millerمشاهده پروفایل

استاد

• Sea Level Rise
• Sequence Stratigraphy
• Paleoceanography
• +۳ مورد دیگر

Kenneth G. Miller is a Distinguished Professor in the Department of Earth and Planetary Sciences at Rutgers University. He holds adjunct roles in research and teaching, with expertise in sequence stratigraphy, paleoceanography, and sea-level change. He earned his Ph.D. from MIT/Woods Hole Oceanographic Institution (1982) and A.B. from Rutgers College (1978). His career includes 9 scientific oceanographic cruises and leadership in the New Jersey Coastal Plain Drilling Project. Education: Ph.D. (1982), MIT/Woods Hole Oceanographic Institution, Oceanography A.B. (1978), Rutgers College, Geological Sciences Research focuses on reconstructing sea-level changes over millions of years, integrating deep-sea geochemical records with continental margin data. Key contributions include the widely cited 2005 Science paper on Phanerozoic sea-level evolution and 2020 Cenozoic sea-level synthesis. He has pioneered methods linking seismic stratigraphy to geological time. Awards include the Rosenstiel Award (2003), two JOI/USSAC Distinguished Lectureships, and AAPG recognition (2014). His work informs modern climate studies through historical analogs of global warming and sea-level rise. Notable grants include NOAA funding for sea-level projections and NSF support for sequence stratigraphy research. He advises graduate students in sedimentology and marine geology, though specific advisees are not listed here. His lab (Stratigraphy-Earth History Lab) develops open-access datasets like the Cenozoic sea-level record. Collaborative projects include the International Ocean Discovery Program (IODP) and Chesapeake Bay impact structure drilling.

• Information Systems Security
• Communication Systems Security
• Estimation Theory Applications
• +۳ مورد دیگر

Sokratis Katsikas is a Professor at the Department of Digital Systems, University of Piraeus, Greece. He also serves as General Secretary for Communications at the Greek Ministry of Infrastructures, Transport and Networks, and contributes to European academic evaluation committees. His career includes leadership roles such as Rector (2003-2006) and Vice-Rector (1997-2003) of the University of the Aegean, and board memberships in national regulatory bodies like the Hellenic Quality Assurance Agency and the Hellenic Authority for Communications Privacy. Dr. Katsikas holds a Ph.D. in Computer Engineering from the University of Patras (1987), an M.Sc. from the University of Massachusetts (1984), and a Diploma in Electrical Engineering from the University of Patras (1982). His research focuses on information and communication systems security , with emphasis on intrusion detection systems (IDS), cybersecurity in smart grids, privacy in social networks, and estimation theory applications. Notable contributions include frameworks for reducing IDS false positives, game-theoretic approaches to insider threat detection, and privacy compliance methodologies aligned with ISO standards. He has authored/co-authored over 150 publications, 24 books, and serves on editorial boards of leading journals. Recent work explores log management infrastructures, data breach mitigation in social networks, and secure electronic medical records. Awards and recognitions are not explicitly listed in the provided text, but his extensive editorial and advisory roles highlight professional esteem. His research spans both theoretical advancements and practical implementations in critical infrastructure protection.

• Bayesian Statistics
• Statistical Modeling
• Applied Mathematics
• +۳ مورد دیگر

Luca LA ROCCA is an Associate Professor in the Department of Education and Humanities at the University of Modena and Reggio Emilia. His research focuses on Bayesian statistics, graphical models, complex systems analysis, and statistical applications in education and social sciences. He teaches courses such as Applied Mathematics and Social Statistics for engineering and pedagogy programs. His research spans topics including Bayesian inference for directed acyclic graphs, non-local priors, and statistical methods for analyzing complex systems. Notable contributions include work on detecting pairwise interactions in biological networks and assessing skewness in financial markets. He has also developed methodologies for structural learning in heterogeneous data and seismic hazard assessment. LA ROCCA has published extensively in top journals and conferences, with recent works emphasizing the interplay between statistical theory and real-world applications. His teaching responsibilities include courses on applied statistics, probability, and regression analysis.

• Forest Management
• Forest Economics
• Log Sawing Optimization
• +۴ مورد دیگر

Dr. Sun Joseph Chang is a Professor of Forestry at Louisiana State University Agricultural Center, affiliated with the School of Renewable Natural Resources. His research focuses on forest economics, carbon sequestration optimization, and timber management strategies. He holds a B.S. from National Chung Hsing University (Taiwan, 1972), an M.F.S. from Harvard University (1975), and a Ph.D. from the University of Wisconsin-Madison (1979). His research interests span forest taxation policy, Faustmann model extensions, and the economic implications of carbon sequestration. Notable contributions include studies on optimal harvest strategies under price uncertainty and institutional timberland investments. He has authored influential papers on topics like stumpage price volatility mitigation using financial derivatives and the historical evolution of forest valuation theories. Dr. Chang’s work frequently integrates mathematical modeling with policy analysis, addressing challenges in sustainable forestry and climate change adaptation. His publications demonstrate a strong focus on bridging theoretical economics with practical forest management practices.

William Lauenrothمشاهده پروفایل

استاد

• Ecohydrology
• Ecosystem Ecology
• Climate Change
• +۳ مورد دیگر

William Lauenroth is the Joseph F. Cullman 3rd ’35 Professor at the Yale School of the Environment (YSE). His research focuses on dryland ecosystems, particularly grasslands and sagebrush communities, with an emphasis on plant population dynamics, ecohydrology, and climate change impacts. He employs simulation modeling to explore ecological processes across spatial and temporal scales. Currently, his work centers on big sagebrush plant communities in western North America. Education: B.S. from Humboldt State University, M.S. from North Dakota State University, and Ph.D. from Colorado State University. His expertise spans carbon sequestration, climate science, and ecosystem ecology. Teaching and Mentoring: He has taught at Colorado State University and the University of Wyoming, offering courses on vegetation ecology, ecosystem science, and environmental policy. His mentoring style emphasizes student responsibility, guiding doctoral and master’s students through structured research processes. He expects master’s theses to include publishable manuscripts and doctoral dissertations to comprise 3-4 manuscripts. Research Contributions: Over 84 publications since 1991, including studies on sagebrush regeneration, climate-driven ecohydrological changes, and the effects of grazing and land use. Recent work examines wildfire probability, sagebrush range expansion, and water balance dynamics in drylands. Professional Activities: Co-developed the STEPWAT2 model for dryland ecosystems. His environmental policy course integrates fieldwork in the Canary Islands with EU policy analysis.

• Biomedical Engineering
• Neural Interfaces
• Wearable Technology
• +۳ مورد دیگر

Dr. Ian Williams is a Research Fellow in Translational Implantable Devices at the Department of Electrical and Electronic Engineering, Faculty of Engineering at Imperial College London. His affiliations include the Centre for Bio-inspired Technology, Circuits and Systems, and the Neural Interfaces group. He holds a PhD from Imperial College London in Engineering. His research focuses on neural stimulation for providing artificial sensory feedback in prosthetic limbs, aiming to replicate natural proprioceptive and tactile signals. Key areas include implantable neural interfaces, wearable sensors (e.g., in-ear devices), and bidirectional neural communication systems. Applications span clinical neuroprosthetics, chronic disease monitoring (e.g., COPD), and cognitive workload assessment in gaming. Recent work emphasizes multimodal sensing platforms (BioBoard), wireless power solutions for brain-machine interfaces, and programmable neural interface technologies (Neuro-PULP). He has contributed to over 20 peer-reviewed articles since 2013, addressing challenges in electrode durability, real-time data processing, and clinical translation of neural interfaces. His research integrates hardware design, signal processing, and clinical validation to advance next-generation biomedical devices. Current projects include developing in-ear hearables for continuous health monitoring and bidirectional neural prostheses with closed-loop feedback systems.

Christopher K. Zahmمشاهده پروفایل

پژوهشگر

• Reservoir Characterization
• Structural Geology
• Carbonate Reservoirs
• +۵ مورد دیگر

Dr. Christopher K. Zahm is a Research Scientist at the Bureau of Economic Geology, The University of Texas at Austin. He holds a Ph.D. in Geology from Colorado School of Mines (2002), an M.S. in Geology from UT Austin (1998), and a B.S. in Geology from University of Wisconsin-Madison (1993). His professional experience includes roles as a Structural Geologist at ConocoPhillips (2002–2006), Geologic Consultant at iReservoir (2000–2002), and Adjunct Professor at Colorado School of Mines (2001). Zahm specializes in reservoir characterization, flow modeling in fractured systems, and porosity-permeability evolution. His research integrates field observations, geomechanical modeling, and advanced analytical techniques to address challenges in carbonate reservoirs, fault zone dynamics, and unconventional resource recovery. Key research focuses include: Stratal architecture and deformation in carbonate platforms Fracture network characterization using outcrop analogs and geophysical data Geomechanical properties of reservoir rocks (e.g., Austin Chalk Group) Impact of structural heterogeneity on reservoir compartmentalization Zahm is actively involved in consortia such as the Advanced Energy Consortium (AEC) and Fracture Research and Application Consortium (FRAC). His work has contributed to understanding basement-rooted faults in the Permian Basin, mechanical stratigraphy of anticlines, and the application of machine learning in carbonate reservoir classification. He has authored/co-authored over 50 peer-reviewed publications, emphasizing integration of field, lab, and subsurface data for reservoir optimization. Notable contributions include pioneering studies on fracture prediction using sequence stratigraphy in fault damage zones and quantitative analysis of rock strength in Gulf Coast carbonates. Zahm's expertise bridges academia and industry, with direct applications to oil and gas exploration, CO2 sequestration, and groundwater flow modeling.