جست‌وجوی استاد و پژوهشگر

Vernet Lasradoمشاهده پروفایل

مدرس

• Operations Research
• Manufacturing Systems
• Industrial Engineering
• +۳ مورد دیگر

Vernet Lasrado is a Lecturer at the University of Central Florida (UCF), affiliated with the Department of Industrial Engineering and Management Systems (IEMS) within the College of Engineering and Computer Science. His primary research focuses on manufacturing systems optimization, technology transfer, and economic policy analysis related to building codes. He holds a Ph.D. in Industrial Engineering and Management Systems from UCF. Education: PhD in Industrial Engineering and Management Systems, University of Central Florida (2000s). Research interests include operations research applications in facility layout design, conveyor system optimization, semiconductor manufacturing automation, and policy impacts of building regulations. His work bridges theoretical models (e.g., queueing theory, genetic algorithms) with real-world industrial challenges. Recent studies examine university incubator effectiveness and economic consequences of delayed building code implementations. His publications span topics from material handling system design to phase transition simulation methods. Notable contributions address closed-loop conveyor optimization using genetic algorithms and crossover placement strategies in semiconductor fabs. No awards or grants are listed in the provided materials.

Christopher Adamsمشاهده پروفایل

استادیار

• Entomology
• Integrated Pest Management (IPM)
• Invasive Species Control
• +۳ مورد دیگر

Dr. Christopher Adams is an Assistant Professor of Tree Fruit Entomology at Oregon State University's Mid-Columbia Agricultural Research and Extension Center (MCAREC) in Hood River. His research focuses on managing pests of pear and cherry crops, including invasive species like spotted wing drosophila and brown marmorated stink bug. He holds a Ph.D. in Entomology from Michigan State University (MSU) and completed a postdoctoral fellowship there, where he developed IPM strategies for codling moth control through sterile insect release. His work emphasizes applied entomology, biocontrol, and grower collaboration. Education: Ph.D. in Entomology (Michigan State University, 2016) Post-doctoral Research Assistant (MSU Tree Fruit Entomology Lab, 2016–2019) Research Interests: Dr. Adams studies pest ecology, trapping techniques, and sustainable IPM solutions. His lab investigates the landscape ecology of pear psylla, X-disease vectors in cherries, and biocontrol methods for invasive species. He collaborates with growers and extension specialists to translate research into actionable field practices. Awards: Robert Driesbach Award (2016) Dr. Eugenia McDaniel Teaching Award (2013) ESA YouTube Award (2012) Teaching & Outreach: He mentors students in field research and extension activities, emphasizing hands-on learning. His teaching excellence has inspired students to pursue entomology careers. He contributes to OSU Extension guides on pest management and regularly presents at grower workshops. Labs & Teams: Leads the MCAREC Entomology Program, collaborating with regional stakeholders to address tree fruit pest challenges. Active in the Pacific Northwest codling moth task force and international IPM initiatives.

Jonghyuk Chaمشاهده پروفایل

مدرس ارشد

• Digital Transformation
• Digital Government
• Government Transformation
• +۳ مورد دیگر

Dr. Jonghyuk Cha is a Senior Lecturer in Information Systems and Project Management at Westminster Business School, University of Westminster. Previously, he worked as a Research Associate at the University of Manchester and held roles in software/IT consulting. He holds a PhD and MSc from Alliance Manchester Business School and a degree in Industrial Systems Engineering and Business Management from Yonsei University. He was also a Visiting Research Fellow at South Korea's Science and Technology Policy Institute. His research focuses on digital transformation, digital government, organisational project management, and benefits realisation. Key publications explore owner challenges in major projects, digital transformation dynamics, and government transformation strategies. He has been awarded the 2021 JAIS Best Paper Honorable Mention, 2021 BAM Best Developmental Paper Award, and 2017 ICIS Best Paper-a-Thon Paper Award. Teaching modules include Digital Innovation, Project Management, Social Media for Business, and Web-enabled Business. He is part of the Centre for Digital Business Research, contributing to interdisciplinary studies on digital business and organisational transformation.

Kourosh Shoeleمشاهده پروفایل

دانشیار

• Fluid-structure interaction
• Computational mechanics
• Multiphase fluid dynamics
• +۷ مورد دیگر

Kourosh Shoele is an Associate Professor in the Department of Mechanical Engineering at Florida State University (FSU), part of the FAMU-FSU College of Engineering. He previously held roles as an Assistant Research Scientist at Johns Hopkins University and a Post-doctoral Researcher at the University of California, San Diego. His research focuses on fluid-structure interaction, computational mechanics, and bioinspired engineering, with applications in renewable energy, aerospace, and biological systems. Education: Ph.D. (2011) and M.Sc. (2006) in Mechanical Engineering from the University of California, San Diego and Sharif University of Technology, respectively, and B.Sc. (2003) from Shiraz University. Research emphasizes multiphase fluid dynamics, aeroelasticity, energy harvesting, and shock wave dynamics. Notable projects include studies on cryogenic fuel storage, bioinspired robotics, and mask efficacy during respiratory disease transmission. His work has been recognized with awards such as the NSF Career Award (2020) and DARPA Young Faculty Award (2019). Advising and Team: Leads the Computational & Theoretical Multiphysics Laboratory (CTML), mentoring graduate students and postdocs across fluid dynamics, thermal management, and robotics. Collaborates on interdisciplinary projects including mask aerodynamics, flexible tree dynamics, and shock-boundary layer interactions. Labs/Teams: CTML Group, with ongoing collaborations in fluid-structure interaction, renewable energy systems, and biomimetic design. Active in publishing high-impact research in journals like Physics of Fluids and Journal of Fluid Mechanics.

Giovanna Vidoliمشاهده پروفایل

عضو هیئت علمی

• Forensic Anthropology
• Biological Anthropology
• Osteology
• +۴ مورد دیگر

Dr. Giovanna Vidoli is a Research Associate Professor of Anthropology and Director of the Forensic Anthropology Center (FAC) at the University of Tennessee, Knoxville. Her primary role involves generating and facilitating research using FAC resources including the Bass Donated Skeletal Collection and Anthropological Research Facility, with focus on novel technological applications in forensic anthropology. Education Ph.D. in Anthropology from Binghamton University, New York (2012) M.S.c in Forensic and Biological Anthropology from Bournemouth University, England (2003) B.A. in Anthropology from College of William and Mary, Williamsburg VA (1998) Research Focus Dr. Vidoli's research spans forensic anthropology, decomposition studies, and trauma analysis. Her work includes: comparative decomposition rates between humans/pigs/rabbits; fracture pattern documentation in aviation disasters; and developing identification methodologies for skeletal remains. She specializes in error rate assessment for craniofacial superimposition and ancestry estimation techniques, with field experience across global mass fatality contexts. Professional Experience Directed mortuary operations for World Trade Center attacks (as Assistant Director of WTC Operations) Managed victim identification during 2004 Thailand Tsunami Forensic Anthropology Foundation of Guatemala (FAFG) field volunteer JPAC-CIL Recovery Team Fellow in Laos International instructor in osteology and archaeology (Bogotá, Colombia) As FAC Director, she oversees one of North America's premier human decomposition research facilities and skeletal collections.

Christos Nicolaidesمشاهده پروفایل

استادیار

• Data Science
• Machine Learning
• Social Networks
• +۵ مورد دیگر

Christos Nicolaides is an Assistant Professor at the Department of Business and Public Administration within the School of Economics and Management at the University of Cyprus (UCY), holding a secondary appointment as a Digital Fellow at MIT's Initiative on the Digital Economy. Previously, he spent three years as a James McDonnell Foundation-funded Postdoctoral Fellow at MIT Sloan School of Management. His educational background includes a PhD in Engineering from Massachusetts Institute of Technology (2014), SM from MIT (2011), MSc in Applied Mathematics from Imperial College London (2009), and BSc in Physics from University of Thessaloniki (2008). Nicolaides' research applies mathematical, statistical, and computational tools to large-scale empirical questions in social influence mediated by digital technologies. His work spans Data Science , Machine Learning , Social Networks , and Computational Social Science , with significant contributions to understanding human mobility patterns, disease transmission dynamics, and social contagion effects. His research has established novel methodologies for analyzing complex network structures in mobility data and social interactions. Analysis of his 15 most recent publications reveals a consistent focus on applying network science to real-world problems, particularly in pandemic response (12 publications), human mobility analytics (9 publications), and social contagion dynamics (7 publications). His work demonstrates increasing interdisciplinary integration, combining computer science, epidemiology, and organizational behavior since 2020. Marie S. Curie Fellow Two Highly Cited Papers by Web of Science (2017, 2020) Best Paper Award by Risk Analysis Society (2019) Professor of The Week by Poets & Quants (2020) As principal institutional investigator, Nicolaides has secured over €1 million in research funding from the European Commission, industry partners, Cyprus Innovation and Research Foundation, and Cyprus Ministry of Health. His current teaching includes Social Networks and Entrepreneurship, Introduction to Operations Management, and Quantitative Methods in Management. Media coverage of his work spans major outlets including The New York Times, CNN, Nature, and Science, with significant impact on public health policy discussions during the COVID-19 pandemic.

Guy Brownمشاهده پروفایل

استاد

• Computational Auditory Scene Analysis
• Speech Recognition
• Auditory Modelling
• +۳ مورد دیگر

Professor Guy Brown is Chair of Computer Science at the University of Sheffield's School of Computer Science. He holds a BSc in Applied Science (1984), PhD in Computer Science (1992), and MEd in Teaching and Learning (1997). His research focuses on Computational Auditory Scene Analysis (CASA), noise-robust speech recognition, auditory modeling, and binaural processing. Research interests include: Machine hearing systems for sound source separation Reverberation-robust speech processing Auditory scene analysis models for normal/impaired hearing Applications in robotics and healthcare technologies Publication trends show recent focus on deep learning approaches for biomedical applications including sleep apnea detection, respiratory sound analysis, and multimodal health monitoring systems using neural networks. Honors include: University Senate Award for Excellence in Teaching (2014) Microsoft Software Engineering Innovation Award (2013) He leads doctoral supervision for 15+ students and has secured research funding from EPSRC, Innovate UK, EU FP7, and AHRC. Manages the Speech and Hearing research group and has held visiting positions at international institutions including LIMSI-CNRS and ATR Japan.

Stephen Tealeمشاهده پروفایل

استاد

• Forest Entomology
• Chemical Ecology
• Pheromone Research
• +۴ مورد دیگر

Stephen Teale serves as Professor and Chair of the Department of Environmental Biology at the State University of New York College of Environmental Science and Forestry (SUNY-ESF), located in Illick Hall. His leadership spans academic administration and active research in forest entomology and chemical ecology. Teale's research centers on chemical signaling in forest insects, particularly pheromone systems of invasive species like Sirex noctilio (woodwasp) and Anoplophora glabripennis (Asian longhorn beetle). His work integrates chemical ecology with forest conservation, focusing on invasive species management through pheromone-based detection and biological control. Key themes include cuticular hydrocarbon communication, host-parasitoid interactions, and resin defense mechanisms in conifers. His publications demonstrate consistent expertise in identifying sex pheromones, optimizing chemical lures, and analyzing tri-trophic interactions between insects, fungi, and host trees. His recent publications reveal strong emphasis on invasive cerambycid beetles and siricid woodwasps, with frequent collaborations across North America and China. Notable contributions include the identification of female-produced pheromones in Anoplophora glabripennis and discovery of dual-attractant systems involving Amylostereum areolatum fungi. Research trends show progression from fundamental pheromone chemistry to applied pest management solutions. Teale actively mentors graduate students, currently advising Michaela Fitzgerald (PhD candidate in Environmental & Forest Biology). His teaching portfolio includes Entomology (EFB 352), Chemical Ecology (EFB 412/612), Insect Physiology (FCH 440), and Forest Health (EFB 570). As department chair, he shapes curriculum in forest entomology and chemical ecology. His scholarly impact is evident through 50+ publications since 1981, including the co-edited volume Forest Health: An Integrated Perspective (Cambridge University Press, 2011). Current research continues to address urgent forest health challenges through chemical ecology approaches.

Laura Parfreyمشاهده پروفایل

دانشیار

• Microbial Ecology
• Protist Biology
• Host-Microbe Interactions
• +۳ مورد دیگر

Dr. Laura Parfrey is an Associate Professor in the Departments of Botany and Zoology at the University of British Columbia (UBC), Faculty of Science. She is affiliated with the Biodiversity Research Centre, where her research focuses on microbial ecology of eukaryotic microbes (protists) and their interactions with bacteria in marine and mammalian ecosystems. Her research spans two primary areas: (1) the gut microbiome of mammals, investigating the consequences of microbial diversity loss and (2) coastal ecosystems in British Columbia, studying microbial colonization of marine hosts (e.g., invertebrates, seaweed) and their impact on host and ecosystem health. The Parfrey Lab employs experimental and descriptive approaches to understand microbial community dynamics under environmental stressors like salinity changes and anthropogenic impacts. Key research trends in her articles include microbial responses to abiotic stress, disease dynamics in kelp/seagrass, and the interplay between prenatal alcohol exposure and immune/gut microbiota changes. Her work bridges marine and terrestrial microbiology, emphasizing ecological and evolutionary processes. Dr. Parfrey’s lab actively collaborates on projects such as the AFRIBIOTA initiative, addressing gut microbiome and health outcomes in African populations. While no awards are explicitly listed, her contributions to microbial diversity research are recognized through high-profile collaborations and publications. Advising and grants: No formal student advisees are listed, but the lab participates in training programs via the Biodiversity Research Centre. Grant details are not provided in the text. Labs/teams: The Parfrey Lab is based in the Department of Botany, UBC, and contributes to interdisciplinary projects at the Biodiversity Research Centre.

Rahat Masoodمشاهده پروفایل

مدرس

• Cybersecurity
• Privacy Technologies
• Authentication & Authorization
• +۷ مورد دیگر

Dr. Rahat Masood is a Lecturer at the School of Computer Science & Engineering (CSE), UNSW Sydney. Her research focuses on cybersecurity, including privacy-preserving technologies, authentication mechanisms, critical infrastructure protection, and network security analysis. She holds a PhD in Information Security and Privacy from UNSW (Data61-CSIRO, Australia), an MS in Computer and Communication Security from NUST, Pakistan, and a B.Sc. in Software Engineering from the University of Engineering & Technology, Pakistan. Her academic contributions span theoretical and applied cybersecurity domains. Dr. Masood’s educational background includes: PhD: Information Security and Privacy (UNSW, Data61-CSIRO, Australia) MS: Computer and Communication Security (NUST, Pakistan) B.Sc.: Software Engineering (University of Engineering & Technology, Pakistan) Her research interests emphasize privacy technologies, authentication systems, and securing distributed energy resources. Recent work includes developing frameworks for quantifying privacy risks and analyzing social media manipulations. She employs data-driven methodologies and machine learning to address challenges such as WiFi device tracking and federated learning security. In her publications, she highlights trends in privacy controls usability, satirical news detection using multilingual models, and threat modeling for critical infrastructure. These studies underscore her commitment to bridging cybersecurity theory with real-world applications. No scientific awards are mentioned in the provided texts. Her teaching and supervision roles at UNSW are active, though specific student advisees or grant details are not listed. She is affiliated with Data61-CSIRO through her PhD and contributes to interdisciplinary cybersecurity efforts within CSE.

• Scientific Computing
• GPU Computing
• Signal Processing
• +۵ مورد دیگر

Professor Wes Armour is a Professor of Scientific Computing at the University of Oxford and serves as the Associate Head of Department for Research in the Department of Engineering Science. He previously directed the Oxford e-Research Centre, an interdisciplinary research center within the Engineering Science Department. With over £31 million secured as PI or Co-I, his work spans supercomputing, signal processing, machine learning, computational fluid dynamics, and protein crystallography. Professor Armour's research focuses on extracting science from data through fundamental challenges in modeling, simulation, and data processing. His work draws from numerical analysis, signal processing, and machine learning to develop technologies enabling future scientific discoveries, particularly for the Square Kilometre Array (SKA) telescope. Key interests include GPU computing, high performance computing, and machine learning applications across diverse domains from radio astronomy to finance. As Director and Principal Investigator of JADE and JADE2, a 700-GPU machine, he established the UK's first national High Performance Computer facility dedicated to advancing Artificial Intelligence and Machine Learning. His research group has pioneered GPU applications across multiple fields, including Square Kilometre Array data processing, protein crystallography, and graphene simulations. Current projects span energy-efficient machine learning, stock price prediction in finance, prime number prediction in cryptography, and multi-modal CCTV data analysis. Professor Armour has been instrumental in developing real-time signal processing techniques for astronomical observations, including the ARTEMIS system for millisecond radio transient detection. His publications demonstrate consistent innovation in GPU-accelerated computing dating back to early work in 2008 on accelerating conjugate gradient routines for electron transport in graphene.

Károly Takácsمشاهده پروفایل

استاد

• Social Networks
• Cooperation and Conflict
• Gossip and Reputation
• +۳ مورد دیگر

Károly Takács is Professor at Linköping University's Institute for Analytical Sociology. He holds a Ph.D. from University of Groningen and has held positions at Corvinus University of Budapest, Collegium Budapest, Netherlands Institute for Advanced Studies, and University of Brescia. He founded and led the Research Center for Educational and Network Studies at Hungarian Academy of Sciences. His research examines social networks in relation to cooperation, conflict, and reputation systems, with particular focus on gossip mechanisms and ethnic discrimination in educational contexts. He currently leads an ERC Consolidator Grant investigating how gossip influences reputation and cooperation across different social environments. Takács' publications develop theoretical frameworks for understanding reputation-centered cooperation and empirically test mechanisms through experiments, network analysis, and large-scale studies in educational settings. His work combines analytical modeling, experimental methods, and advanced network analysis techniques.

• Bryophyte Ecology
• Moss Conservation
• Biodiversity Distribution Patterns
• +۳ مورد دیگر

René Belland is a Professor in the Department of Renewable Resources at the University of Alberta, specializing in bryophyte (mosses and liverworts) ecology, conservation, and large-scale distribution patterns. He serves as Curator of the department's Bryophyte Herbarium and teaches undergraduate and graduate courses focusing on field skills, moss identification, and conservation. His research emphasizes environmental and historical factors influencing moss diversity, with a focus on Alberta's ecosystems and rare species protection. Education: Holds BSc, MSc, and PhD degrees (institutions unspecified). His teaching excellence is recognized through awards such as the William Hardy Alexander Award (2018) and multiple ECSA Teacher of the Year titles (2015–2024). He also mentors undergraduate research, earning the 2024 Outstanding Mentorship Award. Research interests span bryophyte biogeography, conservation strategies for rare species, and ecological impacts of forestry practices. His publications explore moss diversity in boreal forests, national parks, and contaminated environments. He collaborates on projects like assessing heavy metal contamination in sphagnum bogs and analyzing post-harvest forest recovery. Teaching responsibilities include specialized courses such as REN R 327: The Mosses of Alberta and directed research programs for undergraduates. His work bridges field-based identification, conservation science, and ecological restoration.

Stephen Leeمشاهده پروفایل

استادیار

• Computer Systems
• Cyber-Physical Systems
• Data Mining and Data Science
• +۳ مورد دیگر

Stephen Lee is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh, affiliated with Pitt Cyber. His research focuses on distributed systems, cyber-physical systems, and sustainability, emphasizing energy efficiency and cost optimization. Dr. Lee holds a PhD from the University of Massachusetts Amherst, a Master’s from Chennai Mathematical Institute, and a Bachelor’s from St. Stephen’s College, Delhi. He actively seeks students for his research group. Education: PhD, Computer Science, University of Massachusetts Amherst Master’s, Chennai Mathematical Institute Bachelor’s, St. Stephen’s College, Delhi Research Interests: Dr. Lee’s work integrates distributed systems, machine learning, and optimization to enhance sustainability. Key areas include IoT-enabled energy systems, emission-aware computing, and privacy-preserving frameworks. He leads projects like GreenWhisk (serverless emission reduction) and Sat2map (3D building modeling from satellite imagery). Recent Achievements: Best Paper Award in IEEE TPS 2024 DOE-funded Cyber Energy Center (2024) MCSI Seed Grant for Pitt building sustainability (2024) NSF Grant on sustainable distributed infrastructures (2023) Grants & Advising: Secured over $2M in grants, including NSF and DOE funding. Advises on energy-efficient systems and IoT security. Teaches CS 2510 (Operating Systems) and CS 1699 (Systems & Sustainability). Labs & Teams: Directs the Sustainable Systems Research Group, focusing on decarbonizing IT and optimizing renewable energy systems. Collaborates with industry partners on smart grid solutions and edge-cloud systems.

Ina Sarcevicمشاهده پروفایل

استاد

• Astrophysics
• Cosmology
• High Energy Physics
• +۵ مورد دیگر

Ina Sarcevic is a Professor of Physics and Astronomy at the University of Arizona, holding the title of Primary Faculty. Her research focuses on particle astrophysics, dark matter, neutrinos, and collider physics. She has made significant contributions to the DUNE (Deep Underground Neutrino Experiment) collaboration, leading efforts in detector design, software development, and theoretical modeling. Her work bridges experimental and theoretical particle physics, addressing fundamental questions in astrophysics and cosmology. Education: Ph.D. in Physics from the University of Minnesota (1986), B.S. in Physics from the University of Sarajevo (1981), with notable fellowships including the Humboldt Fellowship (1989-1991) and a Doctoral Dissertation Fellowship (1985-1986). Research Interests: Dark matter detection via neutrinos, neutrino interactions at extreme energies, and the role of particle physics in cosmological phenomena. She explores theoretical frameworks for secret interactions of sterile neutrinos and their implications for the diffuse supernova neutrino background. Her work on detector technology for DUNE includes optimizing liquid argon time-projection chambers (TPCs) and developing algorithms for neutrino interaction reconstruction. Selected Honors: 2006 Fellow of the American Physical Society, recipient of the British Council Fellowship for Young Scientists (1980-1981), and Summa cum laude distinction at the University of Sarajevo. Grants and Collaborations: Principal investigator in DUNE-related projects, including detector design, software computing, and data analysis. Involved in international collaborations such as the LHC’s Forward Physics Facility and ProtoDUNE beam tests at CERN. Labs/Teams: Active member of the DUNE Collaboration, focusing on neutrino oscillation physics, supernova neutrino detection, and dark matter signatures in neutrino telescopes. Her group collaborates on developing advanced machine learning techniques for particle identification in large-scale detectors.