جست‌وجوی استاد و پژوهشگر

Amanda N. Laubmeierمشاهده پروفایل

استادیار

• Mathematical Ecology
• Theoretical Ecology
• Applied Mathematics
• +۳ مورد دیگر

Amanda N. Laubmeier is an Assistant Professor in the Department of Mathematics & Statistics at Texas Tech University. Her research integrates mathematical modeling with ecological systems, focusing on predator-prey dynamics, pest suppression, and biodiversity mechanisms. She holds a Ph.D. in Applied Mathematics from North Carolina State University (advised by H. T. Banks) and a B.S. in Mathematics from the University of Arizona. Her postdoctoral work at the University of Nebraska-Lincoln (under Richard Rebarber and Brigitte Tenhumberg) further developed her expertise in ecological modeling. Her research interests emphasize theoretical exploration and data-driven validation of ecological processes, particularly in agricultural and climate-sensitive contexts. Key areas include predator community dynamics, temperature effects on ecosystems, and the compatibility of biological control with pesticides. She actively engages in scientific outreach to promote inclusivity in academia and supports underserved communities in STEM. Her recent publications explore topics such as trap crop efficacy, predator-prey models under climate change, and parameter estimation in ecological systems. These studies highlight interdisciplinary approaches combining mathematical theory with empirical validation. She also contributes to educational initiatives like the Science Meets Popular Culture Speaker Series, bridging academic research with public engagement. Laubmeier advises students through her research group, which focuses on ecological modeling projects. While no named advisees are listed, her group’s work is detailed on her website. Her grants and funding history are not explicitly mentioned, but her CV (dated Jan. 2025) likely provides further details. She advocates for inclusive academic practices and integrates outreach into her professional activities.

M. Tariq Iqbalمشاهده پروفایل

استاد

• Hybrid Power Systems
• Renewable Energy Systems
• Consumer Electronics
• +۱ مورد دیگر

M. Tariq Iqbal is a Professor in the Department of Electrical and Computer Engineering at Memorial University of Newfoundland. He holds a B.Sc. from UET Lahore, M.Sc. from QAU Islamabad, and PhD from Imperial College London. His research develops renewable energy solutions including hybrid power systems, solar applications, and IoT-based monitoring. Projects focus on off-grid communities, industrial applications, and energy-efficient electronics. Specific interests include microgrid design, solar water pumping, and power consumption analysis. Recent publications emphasize techno-economic modeling of microgrids, IoT-enabled SCADA systems, and energy efficiency in computing. Work demonstrates increasing focus on practical implementations in remote locations. No scientific awards are documented. Iqbal advises graduate students on projects across 20+ countries. Current research includes solar-powered oil pumps, electric vehicle charging, and community microgrids. He directs multiple projects through the faculty's engineering design initiative.

Lianying Zhaoمشاهده پروفایل

دانشیار

• Trusted Computing
• Hardware/Architectural Security
• Systems Security
• +۳ مورد دیگر

Lianying Zhao is an Associate Professor in the School of Computer Science at Carleton University and serves as a Director of the Carleton Computer Security Lab (CCSL). His research focuses on low-level platform security, including hardware, firmware, hypervisor, and operating systems, with an emphasis on trusted computing, authentication, privacy preservation, and security metrics. He leads the CCSL research group, collaborating with interdisciplinary teams to address critical security challenges in IoT, cloud systems, and web applications. Education: Not explicitly listed in provided texts. Roles: CCSL Director, Research Supervisor, and Graduate Program Advisor. Dr. Zhao’s work spans hardware security improvements, firmware vulnerability analysis, and user-centric security metrics. Recent research highlights include studies on router configuration habits, tracker detection in web browsers, and CVSS score discrepancies. He has supervised numerous graduate students in cybersecurity domains, contributing to over 30 peer-reviewed publications since 2013. His lab affiliations include CCSL and CISL, where he collaborates on projects such as secure deletion frameworks, TLS validation vulnerabilities, and hybrid decision-making models for cloud security. Current research also explores cross-regional login throttling mechanisms and AI-driven vulnerability detection in embedded systems.

Rentizelas Athanasiosمشاهده پروفایل

دانشیار

• Sustainable Supply Chains
• Circular Economy
• Reverse Supply Chain Design
• +۷ مورد دیگر

Rentizelas Athanasios is an Associate Professor of Sustainable Supply Chains at the National Technical University of Athens (NTUA), School of Mechanical Engineering. He specializes in circular economy, reverse logistics, and digitally enabled supply chains. His research focuses on optimizing multi-tier supply chain sustainability through decision support systems and environmental performance metrics. Education: PhD (2007), National Technical University of Athens MSc in Operations Management (2002), UMIST, Manchester, UK Bachelor + MSc equivalent in Mechanical Engineering (2001), NTUA Research Interests: Dr. Rentizelas explores circular economy pathways in industries like wind energy and agriculture, emphasizing reverse supply networks, eco-intensity metrics, and biomass valorization. He develops frameworks for sustainable ship energy systems and IP management in additive manufacturing supply chains. Awards: 2017 Web of Science 'Highly Cited Paper' (top 1% in Engineering) 2015 Teaching Excellence Award (University of Strathclyde) Thomaidio Foundation Award (2007) for advancing science Professional Activities: He serves on the editorial board of the International Journal of Collaborative Engineering and chairs the EURO Working Group on Sustainable Supply Chains. Current roles include membership in NTUA's School of Mechanical Engineering General Assembly. Key Contributions: His work bridges academia and industry via optimization models for biofuel supply chains, waste management systems, and policy analysis for carbon pricing impacts on maritime energy systems.

Alexandru G. Bardasمشاهده پروفایل

دانشیار

• Cybersecurity
• Systems Security
• Moving Target Defenses
• +۹ مورد دیگر

Alexandru G. Bardas is an Associate Professor at the University of Kansas in the Department of Electrical Engineering & Computer Science (EECS) and the Institute for Information Sciences (I2S) . He received his PhD from Kansas State University under advisors Xinming (Simon) Ou and Scott A. DeLoach. His research focuses on cybersecurity from a systems perspective , including moving target defenses, security operations center (SOC) metrics, DevOps security, power grid cybersecurity, and defensive technologies for political activists. He explores UDP-based DDoS detection, DNS traffic analysis, and the intersection of AI with cybersecurity, emphasizing foundational knowledge over tool-specific training. Key research areas: Cybersecurity, Systems Security, Moving Target Defenses, SOC Metrics, DevOps Security Recent publications in ACSAC 2024 , USENIX Security 2024/2023 , and IEEE Security & Privacy 2022 Dr. Bardas has received significant recognition including: NSF CAREER Award (2022) for SOC automation Bellows Scholar (2021) at KU NSA SoS Honorable Mention (2023) He actively advises students across disciplines, with graduates now at Sandia National Laboratories , Blue Cross Blue Shield , and Pacific Northwest National Laboratory . Dr. Bardas participates in NSF grant reviews , serves on program committees for SOUPS and MILCOM , and leads outreach initiatives like the GenCyber Summer Camp .

• Software Engineering
• Artificial Intelligence
• AI Ethics
• +۳ مورد دیگر

Pekka Abrahamsson is a Professor at the Faculty of Information Technology and Communication Sciences at Tampere University , Finland. He actively contributes to research in Software Engineering , Artificial Intelligence , and AI Ethics , with recent work focusing on generative AI, multi-agent systems, and ethical software design. Published over 42 research outputs (2016–2025) Editorial roles in multiple international conferences (2016, 2019, 2022–2024) His research emphasizes practical applications of AI in software development, including tools like ChatGPT for full-stack coding, multi-agent systems for requirements engineering, and frameworks for AI ethics in software practices. He also explores challenges in continuous software engineering and quantum computing architecture. Key publication trends (2024–2025) include: Agile methodologies enhanced by AI Ethical alignment in AI systems Autonomous software development platforms AI tool adoption in programming education Quantum software architecture reviews Technical debt in embedded systems Awards and recognitions : PlumX Metrics highlight 1 scientific prize (unspecified) High readership on platforms like Mendeley (up to 211 readers) Multiple citations in Scopus (up to 53 citations for quantum computing work) Grants and collaborations include global studies on work-from-home impacts, AI tool usage in programming courses, and projects like CodePori for autonomous development. His work influences policy and industry practices, particularly in AI ethics and multi-robot systems.

Lucy Bastinمشاهده پروفایل

استاد

• Biodiversity Informatics
• Remote Sensing
• GIS (Geographic Information Systems)
• +۷ مورد دیگر

Lucy Bastin is a Professor in the School of Computer Science and Digital Technologies at Aston University, part of the College of Engineering and Physical Sciences. She holds academic roles since 2003, including leadership in the Digital Observatory for Protected Areas (DOPA) project at the European Commission. Her research focuses on biodiversity informatics, remote sensing, and citizen science, with applications in conservation planning and sustainable development. She advises PhD students on topics like GIS, remote sensing, and citizen observatories. Education: BSc Zoology (University of Nottingham), MSc GIS (University of Leicester), PhD in Spatial Population Ecology (University of Birmingham). She also holds a Postgraduate Certificate in Teaching and Learning in Higher Education. Research Interests: Essential Biodiversity Variables, metadata standards for citizen science, uncertainty in conservation models, disease mapping (e.g., MRSA), and environmental policy support. She developed the DOPA toolkit for protected area monitoring and co-authored the Bari Manifesto for biodiversity variables. Key Projects: DOPA Explorer 2.0, FLIERS EU project, EuroGEOSS initiatives Recent Awards: Midlands Women in Tech Finalist (2021), Best Paper Award (2018) Teaching: Software Engineering, Professional Ethics in Computing, GIS modules Labs/Teams: Part of the Computer Science Research Group and Aston Centre for Artificial Intelligence Research and Application. Collaborates with global partners on initiatives like BIOPAMA and the Green Deal Data Space.

• Data Integration
• Big Data Management and Analytics
• Database Systems and Applications
• +۳ مورد دیگر

Dr. En Cheng is an Associate Professor in the Department of Computer Science at The University of Akron, affiliated with the College of Engineering and Polymer Science. She joined the university in 2012 and specializes in research areas such as Data Integration, Big Data Management, Database Systems, Mobile Applications, Business Intelligence, and Bioinformatics. Her work bridges theoretical computer science with practical applications, including educational mobile games and business productivity tools. Dr. Cheng’s education includes a Ph.D. from Case Western Reserve University and advanced degrees from Huazhong University of Science and Technology, China. Her research emphasizes innovative solutions in database systems and interdisciplinary applications like bioinformatics. Notable publications include studies on mobile game integration, web content extraction libraries, and business intelligence optimization. Her recent work explores supramolecular assembly, material science, and nanostructure engineering, reflecting a shift toward interdisciplinary collaboration. Over 30 publications since 2014 highlight her contributions to both computer science and materials research. Dr. Cheng teaches courses such as Data Integration, Database Management, and NoSQL systems. She maintains an active research lab and collaborates on projects funded by institutional grants. Her office is located in CAS 229, and she can be reached via echeng@uakron.edu or her website.

David R. Kauchakمشاهده پروفایل

استاد

• Natural Language Processing (NLP)
• Text Simplification
• Machine Learning
• +۳ مورد دیگر

David R. Kauchak is a Professor of Computer Science at Pomona College, part of The Claremont Colleges. He has been affiliated with the institution since 2014. His academic background includes a Ph.D. (2006) and M.A. (2006) in Computer Science from the University of California, San Diego, and a B.S. (2005) in Computer Science from the University of Utah. His research focuses on Natural Language Processing (NLP) , particularly text simplification , aiming to reduce text complexity while preserving content. Applications include improving health literacy through simplified medical text and enhancing accessibility of technical documents. He has also contributed to machine learning methodologies and information retrieval systems. Key awards include the Distinguished Poster Award at AMIA 2016 and the Best Undergraduate Paper Award at SocalNLP 2018. His work frequently addresses interdisciplinary challenges in healthcare communication, education technology, and software tool development. Teaching highlights include courses in Artificial Intelligence , Algorithms , Natural Language Processing , and foundational computer science modules. He has advised numerous projects in computational linguistics and health informatics, though specific student names are not explicitly listed in the provided materials. His collaborations span academic and medical domains, including joint research with institutions like the University of Utah and projects funded through initiatives like the German Climate Modeling Initiative (though this appears unrelated to his primary work). He maintains an active presence in academic conferences, publishing in venues such as ACL, AMIA, and IEEE journals.

Indratmoمشاهده پروفایل

دانشیار

• Information Visualization
• Human-Computer Interaction
• Social Computing
• +۳ مورد دیگر

Dr. Indratmo is an Associate Professor and Chair of the Department of Computer Science at MacEwan University. He holds a PhD from the University of Saskatchewan, an M.Sc. from the University of Manitoba, and a B.Eng. from Petra Christian University. His research focuses on information visualization, human-computer interaction, and social computing, with a particular emphasis on developing tools for analyzing social media data. He has contributed to projects like a visual analytical tool for sentiment analysis in Edmonton's traffic-related social media data and studies on multimedia content effectiveness in communication strategies. Indratmo teaches a range of computer science courses, emphasizing student engagement through transparent pedagogical practices. His work bridges technical innovation with social impact, aiming to enhance communication strategies for organizations through data-driven insights. He has published extensively in journals like Big Data Research and Visual Informatics , and his research spans topics from educational visualization tools to smart mirror applications and geospatial heritage systems. Outside academia, he enjoys outdoor activities in the Canadian Rockies. Notable collaborations include work on stacked bar chart efficacy, web-based course registration models, and exploratory browsing frameworks. His research portfolio demonstrates a commitment to both theoretical advancement and practical applications in computing.

Wilfried Siegمشاهده پروفایل

استاد

• Foundations of Mathematics
• Proof Theory
• History of Logic
• +۳ مورد دیگر

Wilfried Sieg serves as the Patrick Suppes Professor of Philosophy at Carnegie Mellon University within the Dietrich College of Humanities and Social Sciences, where he has been a core faculty member since 1985. He previously held appointments at Columbia University (1977-1985) and co-founded CMU's interdisciplinary Pure and Applied Logic program. His educational background includes: Ph.D. in Philosophy, Mathematical Logic, and Foundations of Mathematics from Stanford University (1977) M.S. in Mathematics and Logic from Westfälische-Wilhelms-Universität, Münster (1971) B.S. in Mathematics and Physics from Freie Universität, Berlin (1969) Sieg's research fundamentally explores the Foundations of Mathematics through proof theory, with significant contributions to the History of Modern Logic and Philosophy of Mathematics. His work critically examines Hilbert's Program, Gödel's incompleteness theorems, and the historical development of computability concepts. He emphasizes the dialectic between mathematical practice and philosophical reflection, revealing how foundational positions shape and are shaped by mathematical developments. Analysis of his recent publications shows a sustained trajectory from historical-philosophical investigations toward computational implementations, particularly through the AProS project. This evolution reflects growing integration of proof-theoretic insights with automated reasoning systems, focusing on heuristic search algorithms and cognitive modeling of mathematical reasoning. Sieg directs the Laboratory for Symbolic & Educational Computing (LSEC), which develops pedagogical tools like the AProS proof tutor. His grant-funded projects include editorial work on Hilbert, Gödel, and Bernays supported by the German National Science Foundation, Sloan Foundation, and National Endowment for the Humanities, alongside NSF-funded development of web-based logic education. He has advised numerous graduate students through research seminars while maintaining active collaboration with computer science and mathematics departments.

Raja Jurdakمشاهده پروفایل

استاد

• Distributed Systems
• Blockchain Technology
• Network Modeling
• +۷ مورد دیگر

Professor Raja Jurdak is a leading academic in distributed systems and applied data sciences at Queensland University of Technology (QUT), where he directs the Trusted Networks Lab. He holds dual roles as Professor of Distributed Systems and Chair in Applied Data Sciences, alongside leadership in the Centre for Data Science. His research focuses on dynamic network modeling, blockchain-based trust frameworks, and IoT applications, with particular emphasis on cybersecurity, energy efficiency, and mobility-driven diffusion processes. Jurdak formerly led CSIRO's Distributed Sensing Systems Group and maintains a visiting scientist role there. Education: PhD in Information and Computer Science, University of California, Irvine MS in Computer Networks and Distributed Computing, University of California, Irvine BE in Computer and Communications Engineering, American University of Beirut Research Interests: Network science, blockchain technology, IoT security, sustainable energy systems, and data-driven decision-making. His work bridges theoretical advancements with practical applications in smart grids, health surveillance, and urban mobility. Awards: Finalist for the 2019 Eureka Prize, multiple CSIRO accolades, and IEEE Senior Member status. His research has received industry recognition for interdisciplinary innovation, including the DiNeMo project's real-time disease surveillance system. Advisory & Grants: Leads high-impact projects funded by government and industry partnerships. Supervises PhD candidates in areas like decentralized data processing and privacy-preserving AI. Holds editorial roles at journals such as Ad Hoc Networks and PLoS ONE . Labs & Teams: Directs the Trusted Networks Lab at QUT, fostering collaborations with institutions like Oxford University and MIT. His work emphasizes cross-disciplinary teams to address global challenges in cybersecurity and sustainable systems.

Paul Cariniمشاهده پروفایل

دانشیار

• Environmental Microbiology
• Microbial Genomics
• Soil Science
• +۳ مورد دیگر

Paul Carini is an Associate Professor in the Department of Environmental Science at the University of Arizona. His research focuses on microbial genomics, environmental microbiology, and microbial diversity in extreme environments. He is affiliated with the School of Animal and Comparative Biomedical Sciences through a joint Micro Graduate Program. His work emphasizes genomic sequencing of understudied microbes, particularly those from arid soils and subseafloor sediments. He explores microbial adaptation strategies to nutrient-poor and extreme conditions, including anaerobic respiration and toxic gas utilization. Recent studies highlight culturomics advancements, such as high-throughput cultivation and predictive modeling of microbial growth. Key contributions include genome-based taxonomic frameworks for uncultivated archaea and bacteria, and insights into microbial roles in climate change mitigation. His research bridges traditional cultivation methods with modern genomic tools, addressing challenges in capturing Earth's microbial biodiversity.

• Landscape Ecology
• Urban Ecology
• Sustainability Science
• +۳ مورد دیگر

**Jianguo Wu** is the Dean’s Distinguished Professor of Landscape Ecology and Sustainability Science at Arizona State University (ASU), holding joint appointments in the School of Life Sciences and School of Sustainability. His affiliations include the Center for Biodiversity Outcomes, Water Institute, Global Drylands Center, and roles as Senior Global Futures Scientist. He earned his B.S. from Inner Mongolia University and M.S./Ph.D. from Miami University, followed by NSF postdoctoral fellowships at Cornell and Princeton Universities. **Education**: B.S. in Biology, Inner Mongolia University (1982) M.S. in Ecology, Miami University (1987) Ph.D. in Ecology, Miami University (1991) **Research Interests**: Landscape ecology, urban ecology, biodiversity-ecosystem functioning, and landscape sustainability science. His work emphasizes ecosystem services, human wellbeing linkages, and interdisciplinary solutions to global environmental challenges. **Awards**: Includes AAAS Fellow (2007), Leopold Leadership Fellow (2009), Distinguished Landscape Ecologist Award (2010), and recognition as a Web of Science Highly Cited Researcher (2019–2020). **Service & Leadership**: Editor-in-Chief of Landscape Ecology since 2005, Founding Director of the Sino-US Center for Conservation, Energy, and Sustainability Science (2007–present), and leader in multiple international editorial and advisory roles. **Labs/Teams**: Directs the Center for Human-Environment System Sustainability (CHESS) at Beijing Normal University and contributes to interdisciplinary initiatives like the Global Futures Scientists and Scholars program.

Boris Wormمشاهده پروفایل

استاد

• Marine Conservation Biology
• Biodiversity Science
• Community Ecology
• +۳ مورد دیگر

Dr. Boris Worm is a Full Professor in the Department of Biology at Dalhousie University, affiliated with the Faculty of Science. His academic journey includes a MSc (University of Kiel, 1996) and PhD (University of Kiel, 2000), followed by postdoctoral research at Dalhousie University and the Leibniz Institute for Marine Science. He specializes in marine conservation biology, biodiversity science, community ecology, and macroecology. His research focuses on global marine biodiversity trends, ecosystem functioning, and conservation solutions. He teaches Biology 2060: Introductory Ecology and BIOL 3065: Conservation Biology , emphasizing quantitative methods and policy implications. His lab (wormlab.biology.dal.ca) explores topics like phytoplankton dynamics, fisheries impacts, and climate adaptation. Recent work addresses bycatch mitigation, climate risk indices, and fisheries governance. Collaborations include Ocean School (oceanschool.nfb.ca), promoting ocean literacy. He advises PhD and MSc students researching fish population dynamics, elasmobranch bycatch, and open-ocean ecosystems. Education: MSc, University of Kiel, Germany (1996) PhD, University of Kiel, Germany (2000) Postdoc, Dalhousie University (2000–2003) Postdoc, Leibniz Institute (2003–2004) Labs & Teams: Worm Lab (marine conservation and biodiversity)