جست‌وجوی استاد و پژوهشگر

• Environmental Geochemistry
• Groundwater Hydrology
• Environmental Geology

Dr. Sheila J. Roberts serves as Acting Vice Provost for Academic Affairs and Associate Professor in the Department of Geology within Bowling Green State University's School of Earth, Environment and Society. She has held academic positions at BGSU since 1994, progressing from Assistant Professor to her current rank while assuming administrative leadership in 2018. Education Ph.D., University of Arizona (1992) M.S., University of Arizona (1988) B.S., Colorado School of Mines (1986) Research Interests Her work centers on Environmental Geochemistry , Groundwater Hydrology , and Environmental Geology , with field studies examining metal contamination in water and soil systems. Current research investigates spatial and temporal chemical changes in the Ottawa River and Wood County groundwater, focusing on agricultural impacts and urban river management. Publication Trends Her 2002-2008 publications reveal consistent focus on environmental contamination assessment through GIS integration and field sampling. Key themes include dam removal impacts on urban rivers, groundwater recharge area identification, and quantitative analysis of metal accumulation in soils – demonstrating methodological innovation in environmental management. Teaching and Research Projects Dr. Roberts teaches undergraduate courses including Introduction to Geology and Environmental Geology, plus graduate courses in Hydrogeology and Aqueous Geochemistry. Her active research includes: Water sampling analysis of Ottawa River (Toledo, OH) for spatial/temporal chemical changes and metal contamination Groundwater chemistry studies in Wood County (OH) assessing metal contamination from agricultural sewage sludge application

Hongsheng Huمشاهده پروفایل

مدرس

• Data Privacy
• Machine Unlearning
• Trustworthy Machine Learning
• +۵ مورد دیگر

Dr. Hongsheng Hu is currently a Lecturer in the School of Information and Physical Sciences at the University of Newcastle, Australia, specializing in the Data Science and Statistics focus area. Prior to this position, he served as a Postdoc Research Fellow at CSIRO's Data61 from October 2022 to August 2024. His academic journey includes a Doctor of Philosophy in Computer Systems Engineering from the University of Auckland in New Zealand, establishing his foundation in advanced computing systems. Dr. Hu's research centers on enhancing the trustworthiness of machine learning systems, with particular emphasis on identifying critical privacy vulnerabilities within machine learning models and developing robust defensive strategies. His work spans several key domains including adversarial machine learning (30% focus), statistical data science (30% focus), and data and information privacy (40% focus). He investigates membership inference attacks, machine unlearning techniques, and privacy-preserving mechanisms in federated learning environments. His research addresses fundamental challenges in AI security, exploring how machine learning models can be compromised through sophisticated privacy attacks and developing methods to mitigate these vulnerabilities while maintaining model utility. Analysis of Dr. Hu's publication record reveals a strong research trajectory focused on machine learning security and privacy. His work consistently addresses vulnerabilities in machine learning systems, particularly examining membership inference attacks, machine unlearning mechanisms, and privacy-preserving techniques in federated learning. The research spans top-tier venues including IEEE Security & Privacy, USENIX Security, NDSS, NeurIPS, IJCAI, AAAI, and WWW, demonstrating both technical depth and recognition by the research community. His publications show an evolving focus from foundational privacy attacks to developing more sophisticated unlearning techniques and robust defense mechanisms, with increasing citation counts indicating growing impact in the field. Active Program Committee member for USENIX Security, NDSS, ICLR, IJCAI, WWW, ICDM, ECML, and PKDD Invited reviewer for IEEE Transactions on Information Forensics and Security (TIFS), IEEE Transactions on Dependable and Secure Computing (TDSC), IEEE Transactions on Pattern Analysis and Machine Intelligence (IPAMI), and ACM Computing Surveys (CSUR) Dr. Hu currently serves as Course Coordinator for STAT6020 and STAT2020 Predictive Analytics at the University of Newcastle. As an academic supervisor, he co-supervises one PhD student working on 'Identifying and Mitigating Vulnerability in Recommender Systems' at Macquarie University. His research collaborations span multiple countries, with significant publication counts in Australia (18), China (12), New Zealand (10), and the United States (7), reflecting an active international research network focused on AI security challenges.

Amanda Batesمشاهده پروفایل

استاد

• Global Ecology
• Conservation Biology
• Marine Eco-physiology
• +۳ مورد دیگر

Amanda Bates is Professor of Biology at the University of Victoria's Faculty of Science. She directs research on global ecology, conservation biology, and marine eco-physiology, using macroecological approaches to understand how climate change and human activities impact ecosystem resilience and functioning. Her work spans biological scales from organismal physiology to global biomes, with applications to sustainable conservation solutions. Her research program investigates ecological resilience across temperature gradients, biodiversity patterns in marine sediments, and climate impacts on coastal ecosystems. Recent projects examine thermal tolerance in marine ectotherms, deep-sea hydrothermal vent communities, and coral reef resilience. She employs diverse methodologies including field surveys, experimental manipulations, and large-scale data synthesis. Bates coordinates international collaborations such as the BioTIME database expansion and socio-ecological indicator development for northern coastal environments. Her publications demonstrate consistent focus on climate-biodiversity interactions, with recent articles addressing functional vulnerability in deep-sea ecosystems, coral thermal adaptation, and marine protected area effectiveness. She mentors graduate students and postdoctoral researchers in conservation ecology, promoting interdisciplinary approaches to environmental challenges. Her laboratory investigates ecological responses to global change across marine and terrestrial systems.

Maumita Bhattacharyaمشاهده پروفایل

مدرس ارشد

• Computational Intelligence
• Cyber Security
• Big Data Optimization
• +۵ مورد دیگر

Maumita Bhattacharya is a Senior Lecturer (equivalent to Associate Professor in North America) at the School of Computing, Mathematics & Engineering, Charles Sturt University, Australia. She specializes in Computational Intelligence and Cyber Security, focusing on AI-driven security solutions, electronic fraud detection, and human-centric cybersecurity challenges. Her work addresses critical areas like BYOD security, IoT vulnerabilities, and social engineering through social media. Research Interests: Computational Intelligence techniques for optimization (Big Data, Engineering Design), Cyber Security applications (fraud detection, IoT security), and human dimensions of cybersecurity. She also investigates socio-computing systems and privacy challenges in social networks. Key Achievements: Recipient of the 2024 Excellence Award (Research) and 2017 SOCM Research Excellence Award Published over 65 peer-reviewed papers in top-tier journals/conferences Editorial roles at Human-centric Computing and Information Sciences (Springer Q1 journal) Guest editor of special issues and conference committee member Labs/Groups: Member of Cyber Security Research Group (CSRG), Machine Vision and Digital Health (MaViDH), and Data Mining Research Group (DaMRG). Active in interdisciplinary research collaborations across Australia and globally.

• Ecology
• Environmental Science
• Geographic Information Systems
• +۷ مورد دیگر

Veronica Frans is a Stanford Science Fellow at Stanford University and a sixth-year PhD Candidate in Fisheries & Wildlife and Ecology, Evolutionary Biology & Behavior at Michigan State University (MSU). She is affiliated with MSU’s Center for Systems Integration and Sustainability (CSIS), the Klausmeier-Litchman lab at Kellogg Biological Station, and holds certifications in Community Engaged Scholarship and Spatial Ecology. Her research focuses on human influence on species distributions, integrating ecological modeling, GIS, and community outreach. BS/BA in Environmental Sciences and French from Messiah College MSc in International Nature Conservation from Goettingen University Her research spans ecology, conservation biology, and sustainability, emphasizing human-nature interactions through metacoupling, telecoupling, and stakeholder collaboration. She has conducted fieldwork in Alaska, Hong Kong, and the Falkland Islands, leveraging local knowledge to address global conservation challenges. Recent publications highlight her expertise in species distribution modeling, sustainability tool development (e.g., seesus, SDGdetector), and conservation policy analysis. Articles frequently explore metacoupling, anthropogenic impacts, and marine ecosystem dynamics, with applications in deforestation, biodiversity, and SDG implementation. NSF GRFP Fellow University Enrichment Fellow Outstanding Paper in Landscape Ecology Award Veronica collaborates with the Klausmeier-Litchman lab at MSU’s Kellogg Biological Station and works under Dr. Jianguo (Jack) Liu at CSIS. Her work bridges marine environments, stakeholder engagement, and global sustainability through interdisciplinary research and community-based conservation.

Endrit Hoxhaمشاهده پروفایل

دانشیار

• Life Cycle Assessment (LCA)
• Sustainable construction
• Environmental Impact
• +۷ مورد دیگر

Endrit Hoxha is an Associate Professor at the Department of the Built Environment within the Faculty of Engineering and Science at Aalborg University. His research focuses on sustainability in construction, particularly life cycle assessment (LCA), environmental impact analysis, and circular economy strategies. He leads and co-supervises multiple PhD projects, including studies on LCA tools for carbon-optimized fire safety in biobased buildings and climate impact analysis of EU building materials. His work integrates environmental product declarations (EPDs), BIM technologies, and policy frameworks to address climate mitigation and sustainable practices in the built environment. Projects include Nordic harmonization of LCA methodologies and analysis of greenhouse gas emissions in construction. Key research areas: Sustainable construction, LCA, circularity, and policy-driven environmental mitigation. Consultancy involvement in environmental impact assessments of construction practices. Dr. Hoxha's recent publications emphasize circular building stock modeling, fire protection system environmental impacts, and light source sustainability. He has received recognition, such as the Sweco Transform Award for innovative master thesis projects. His work bridges academic research with practical applications, influencing both industry standards and policy development. Advisees include Kanafani, Dormohamadi, and Tozan, focusing on LCA methodologies and mitigation strategies. Labs/teams: Collaborates with interdisciplinary groups on building lifecycle analysis and sustainability metrics.

• Cybersecurity
• Networking
• Wireless Security
• +۶ مورد دیگر

Thaier Hayajneh , Ph.D., is a University Professor at Fordham University's Department of Computer and Information Sciences. He serves as Founder Director of the Fordham Center for Cybersecurity and Program Director for the MS in Cybersecurity program. Previously, he held academic roles at New York Institute of Technology and Hashemite University in Jordan. Specializes in cybersecurity, networking, and applied cryptography Focus areas include blockchain, IoT security, and wireless network vulnerabilities Active in NSF cybersecurity review panels and as a CAE reviewer for NSA Recipient of peer-review awards from Publons His research spans secure protocols for medical IoT systems, lightweight cryptographic algorithms, and smart contract implementations in healthcare. Publications in IEEE IoT Journal, IEEE Systems Journal, and Journals like Future Generation Computer Systems demonstrate his expertise in securing emerging technologies. Dr. Hayajneh has received research funding from federal agencies including NSA, Department of Defense, and NSF. He has published over 80 papers and maintains active editorial roles in prestigious journals. Scientific Awards: Peer-review awards from Publons

Saeed Alameriمشاهده پروفایل

استادیار

• Nuclear Reactor Physics
• Nuclear Fuel Materials
• Nuclear Reactor Design
• +۵ مورد دیگر

Dr. Saeed Alameri serves as Assistant Professor in Mechanical & Nuclear Engineering at Khalifa University while holding pivotal national roles: Director of the Emirates Nuclear Technology Center (ENTC), Manager of the Gulf Nuclear Energy Infrastructure Institute (GNEII), member of the National Committee for Radiation Protection (RPC), and Theme 4 Lead for ENTC. His work directly supports the UAE's Barakah nuclear power program. Educational background: PhD in Nuclear Engineering, Colorado School of Mines (2015) MEng in Nuclear Engineering, Colorado School of Mines (2012) BSc in Electrical Engineering, UAE University (2008) His research centers on nuclear reactor physics and advanced fuel systems , with critical focus areas including Accident Tolerant Fuels (ATFs), Cr-coating techniques for zirconium alloy cladding, and tensor-network algorithms for neutron transport. Current projects target enhanced safety for APR1400 reactors through oxidation-resistant cladding and computational optimization of fuel-assembly shuffling, adhering to the 'do no harm' principle for operational reliability. No scientific awards were documented in the source material. Dr. Alameri actively mentors six graduate students (two PhD and four MSc candidates) while leading specialized ENTC research teams. His supervisory scope spans neutronics analysis, thermal-hydraulic evaluations, and severe-accident material testing. Current projects involve international collaboration through GNEII to advance nuclear infrastructure, with direct applications to UAE's operational reactors. He directs research at the Emirates Nuclear Technology Center and Gulf Nuclear Energy Infrastructure Institute, focusing on APR1400 reactor optimization and next-generation fuel technologies through multidisciplinary teams combining computational modeling and experimental validation.

Greg Gossمشاهده پروفایل

استاد

• Environmental Physiology
• Environmental Toxicology
• Watershed Science
• +۳ مورد دیگر

Greg Goss is a Professor in the Department of Biological Sciences at the University of Alberta, Faculty of Science. His research focuses on three interconnected areas: environmental physiology of fishes, environmental toxicology, and watershed science. He investigates physiological adaptations of aquatic organisms to environmental stresses, evaluates the toxicity of industrial and agricultural pollutants, and models Alberta's water resources under climate change scenarios. Collaborations include work with EnCana, Vive Crop Protection, and Dr. Monireh Faramarzi on water management. His lab, Goss Lab, hosts research on nanotoxicology, hydraulic fracturing fluid impacts, and stormwater system improvements. Contact: ggoss@ualberta.ca. Research interests include ion and solute transport mechanisms in fish, toxicity of nanoparticles and pesticides, and watershed modeling for sustainable water use. He employs molecular biology, cell physiology, and field studies across freshwater and marine ecosystems. Industrial partnerships aim to balance environmental protection with economic needs. Notable projects include assessing hydraulic fracturing fluid toxicity on aquatic species, developing predictive water supply models, and improving stormwater management through polymer and wetland technologies. His work contributes to OECD nanomaterial testing standards and regulatory policy.

• Service-Oriented Architectures and Information Systems
• Web Data Engineering
• Web Engineering and Web Modeling
• +۶ مورد دیگر

Ioannis Tzimas is a Professor at the Department of Electrical and Computer Engineering of the University of Peloponnese. He is a highly active researcher with numerous publications in areas of Service-Oriented Architectures, Web Engineering, Big Data, and Artificial Intelligence applications. University: University of Peloponnese Department: Department of Electrical and Computer Engineering Academic Rank: Professor Email: tzimas@uop.gr Ioannis Tzimas received his education from the Department of Computer Engineering and Informatics of the University of Patras, where he also completed his PhD in Web Engineering. His research spans multiple interdisciplinary domains at the intersection of computer science and practical applications. Service-Oriented Architectures and Information Systems Web Data Engineering and Web Modeling Big Data Management and Data Science Machine Learning and Artificial Intelligence Applications Digital Ecosystems and Digital Transformation for the Public Sector Bioinformatics Professor Tzimas' recent research output demonstrates a strategic focus on applying advanced computational techniques to address contemporary challenges. His work shows particular expertise in labor market analysis using large language models, electricity demand forecasting in Greece, and social protection systems. His publications reveal a pattern of bridging theoretical computer science with practical, real-world applications across multiple sectors. Since 2018, he has served as an international consultant to the World Bank in the field of information systems and digital transformation, working on projects across Europe, Africa, the Caribbean, the Pacific Islands, and China. His earlier career included significant technical leadership roles at the University of Patras and other Greek institutions. Technical Manager of the Graphics, Multimedia and Geographic Systems Laboratory (1996-2018) Technical Coordinator of the Internet and Multimedia Technologies Research Unit (1997-2011) Scientific Manager of the Network Management Center of the TEI of Messolonghi (2009-mid 2013)

• Information Systems
• Databases
• Knowledge Graphs
• +۷ مورد دیگر

Stefan Decker is a full University Professor (Universitätsprofessor) at RWTH Aachen University, Germany, where he heads the Chair of Information Systems and Databases (Informatik 5) within the Faculty of Mathematics, Computer Science and Natural Sciences. He is actively involved in teaching, research, and the supervision of numerous ongoing and completed doctoral, master’s, and bachelor theses. Education & Academic Background Doctorate (Dr. rer. pol.) – field of Information Systems or related (exact institution/year not stated in text). Appointed as University Professor and Chair of Information Systems and Databases at RWTH Aachen University. Research Interests Prof. Decker’s work lies at the intersection of databases, knowledge graphs, semantic web technologies, data science, and cybersecurity . He investigates architectures and algorithms for large-scale, privacy-preserving, decentralized data analytics , develops ontology-driven information systems , and explores the use of large language models (LLMs) for educational technology, anomaly detection, and incident-response playbooks. Additional focal areas include smart energy systems, mixed-reality learning environments, FAIR data principles, and federated machine learning . Scientific Contributions & Trends His recent publications (2022-2025) demonstrate a clear trend toward explainable AI, LLM-enhanced systems, secure data spaces, and semantic interoperability . Key contributions include novel anomaly-detection frameworks for encrypted power-grid communications, knowledge-graph-driven chatbots for higher-education support, and methodological advances in decentralized analytics and FAIR data sharing. These works are disseminated in top-tier venues such as AAAI, IEEE ISGT Europe, ESWC, IDEAL, and various Springer LNCS and IEEE Transactions. Supervision & Grants Doctoral Theses Advised: A. T. Neumann – “Chatbots as professional companions in large-scale community information systems” (2024) S. M. Welten – “Methods for practical data sharing and decentralized analytics” (2025) Master’s Theses Co-Advised: A. R. Küsters – “Object-centric process constraints using variable bindings” (2025) Additionally supervising more than 30 ongoing bachelor, master, and doctoral projects covering topics such as LLM-driven cybersecurity playbooks, knowledge-graph construction for German law, privacy-preserving analytics in smart grids, and mixed-reality learning agents. Principal investigator or senior researcher in large collaborative projects including NFDI4DS, WestAI, champI4.0ns and several EU/national initiatives on sovereign data spaces and AI services. Labs & Teams Prof. Decker leads the Information Systems & Databases (DBIS) Research Group . The group operates well-equipped laboratories for knowledge-graph engineering, mixed-reality applications, privacy-enhancing technologies, and secure distributed analytics . Current team size exceeds 30 researchers including PhD candidates, postdocs, and scientific programmers, supported by national and EU funding streams.

• Artificial Intelligence
• Educational Technology
• Business Process Management
• +۵ مورد دیگر

Darko Etinger is an Associate Professor and currently serves as the Dean of the Faculty of Informatics at Juraj Dobrila University of Pula in Croatia. His academic career spans over two decades with significant contributions to the fields of information systems, educational technology, and artificial intelligence. He teaches undergraduate courses including Artificial Intelligence, Business Information Systems, Business Process Management, ICT Fundamentals, Information Systems, Introduction to Artificial Intelligence, and Multimedia Systems. At the graduate level, he teaches Development of IT Solutions, IT Management, Modelling and Simulation, and Project Management. He also supervises doctoral research in Management of Information Technologies in Education. Dr. Etinger's research interests span several key areas in computer science and education technology. He has made significant contributions to understanding how information and communication technologies can support children with special educational needs, as evidenced by his 2024 and 2025 books on the topic. His work also focuses on business process management, educational data mining, and the application of artificial intelligence in educational contexts. His 2024 book 'Introduction to R and RStudio' demonstrates his commitment to data science education. Analysis of his recent publications shows a strong focus on practical applications of technology in education and business. His work spans educational robotics, learning management systems analysis, business process modeling, and the application of large language models in healthcare. He has a particular interest in how technology can be made accessible and beneficial for diverse learner populations, including those with special needs. His research often takes a human-centered approach, examining not just the technology itself but how it's adopted and used by end users. His 2025 bibliometric analysis of metaverse security demonstrates his ability to tackle emerging technological challenges. Associate Professor at Faculty of Informatics, Juraj Dobrila University of Pula Current Dean of Faculty of Informatics Author of multiple publications on educational technology and information systems Supervisor for numerous graduate theses on educational technology topics Active participant in EDIH Adria project as evidenced by 2025 publications Researcher in educational robotics implementation in Croatian schools Dr. Etinger has advised numerous students completing their theses, with a focus on educational technology applications. His research has been published in various international conferences and journals including IEEE Engineering Management Review, Procedia Computer Science, and System Dynamics Review. His current research appears to be heavily focused on the EDIH Adria project, which is a European Digital Innovation Hub initiative focusing on technology transfer and business innovation. He maintains an active research program with publications spanning from 2003 to the present, demonstrating sustained scholarly contribution to his fields of expertise.

• Software Engineering
• Deep Learning
• Human-Computer Interaction
• +۳ مورد دیگر

Prof. Dr. Chunyang Chen is a Full Professor at the Department of Computer Science, Technical University of Munich (TUM), Heilbronn, Germany. He holds the Chair of Software Engineering & AI, serves as a core member of the Munich Data Science Institute, board member of the Heilbronn Data Science Center, and Fellow at Fortiss. He also maintains an Adjunct Professor role at Monash University, Australia. Research Focus: His work bridges Software Engineering, Deep Learning, and Human-Computer Interaction (HCI), specializing in AI/ML, NLP, and program analysis for mobile app development, testing, and security. Key areas include LLM-assisted app development, robustness of deep learning models, and accessibility testing. Scientific Awards: Best Paper Honorable Mention in CHI 2024 Discovery Early Career Researcher Award (DECRA), Australian Research Council ACM SIGSOFT Early Career Researcher Award Facebook Research Award in Probability and Programming Dean's Award for Research Impact at Monash University Academic Leadership: He actively mentors PhD students, supervises postdocs, and leads research teams focusing on software security, automated testing, and LLM applications. His recent work explores the intersection of software security and large language models, with a special issue call for EMSE journal.

• Conservation Biology
• Tropical Ecology
• Biodiversity Conservation
• +۳ مورد دیگر

Dr Matthew Struebig is a Reader in Conservation Science at the University of Kent, leading the Leverhulme Trust Tropical Defaunation Hub. He specializes in tropical biodiversity conservation, focusing on human-modified habitats in Southeast Asia, particularly Indonesia and Malaysia. His interdisciplinary research addresses socio-ecological drivers of wildlife decline, conservation policy, and sustainable land-use practices. He has held roles including Leverhulme Trust Research Fellow and now leads a major interdisciplinary initiative studying defaunation impacts. His research integrates ecology with social sciences, examining trade-offs between conservation and human needs. Current projects include assessing deforestation impacts, designing riparian reserves in oil palm landscapes, and evaluating community forest management. He collaborates with institutions like the Durrell Institute of Conservation and Ecology (DICE) and contributes to global conservation efforts through roles like Associate Editor of Journal of Applied Ecology . Recent work highlights include studies on orangutan population dynamics, peatland restoration, and biodiversity monitoring via robotics and DNA technologies. His team addresses pressing issues like nickel mining impacts and coral reef conservation, emphasizing practical solutions for biodiversity and human well-being. Dr Struebig has supervised numerous PhD students and researchers, fostering the next generation of conservation scientists. His grants include major funding from the Leverhulme Trust and UKRI, supporting projects like spatial prioritization in Indonesia and ecosystem restoration licenses. He actively engages with conservation organizations and policy initiatives to bridge science and real-world applications.

John Clarkمشاهده پروفایل

استاد

• Cybersecurity
• Software Engineering
• Artificial Intelligence
• +۵ مورد دیگر

John Clark is a Professor of Computer and Information Security at the University of Sheffield since 2017 and Director of the Siemens Digital MINE. Previously, he held roles as Professor of Critical Systems at the University of York (1992–2017) and worked at Logica in security R&D. He studied Mathematics and Applied Statistics at the University of Oxford. His research focuses on cybersecurity, software engineering, and AI applications, particularly in threat modeling, intrusion detection, quantum cryptanalysis, and secure autonomous systems. Clark leads the Security of Advanced Systems research group and has secured grants totaling over £36 million. Notable projects include the EPSRC-funded DAASE (2012–2019) and the Active Building Centre (2018–2022). His work on phishing detection (e.g., analyzing user behavior) and malware analysis has been widely recognized. He has been awarded the Royal Society Wolfson Merit Award (2013), GEECO medals (2005, 2013), and multiple best-paper prizes. Clark’s research spans theoretical and applied domains, including evolutionary computation for cryptanalysis, robotic system security, and smart grid protection. His labs explore areas like digital twin authentication and privacy-aware energy theft detection. He has supervised numerous grants and maintains active collaborations with industry and academia.