جست‌وجوی استاد و پژوهشگر

Mohamed Y. Eltabakhمشاهده پروفایل

دانشیار

• Database Management Systems
• Big Data Analytics
• Query Processing and Optimization
• +۵ مورد دیگر

Mohamed Y. Eltabakh is an Associate Professor in the Computer Science Department at Worcester Polytechnic Institute (WPI), with affiliations in the Data Science and Bioinformatics & Computational Biology programs. He holds a Ph.D. from Purdue University (2010) and has postdoctoral experience at IBM Almaden Research Center (2010-2011). His research focuses on database systems, big data analytics, query optimization, and scientific data management. He has led projects like InsightNotes (annotation management), Redoop (MapReduce optimizations), and CoHadoop (Hadoop data placement). Prof. Eltabakh teaches courses in databases, algorithms, and Hadoop infrastructure at both undergraduate and graduate levels. He has secured NSF funding ($189,952) for large-scale data analytics research and contributed to over 30 peer-reviewed publications in top-tier conferences/journals (e.g., SIGMOD, ICDE, VLDB). His work integrates with WPI’s interdisciplinary programs, including the Healthcare Delivery Institute and Data Science graduate program. Education: Ph.D. Computer Science, Purdue University, 2010 M.S. Computer Science, Purdue University, 2005 M.S. Computer Science, Alexandria University, 2001 B.S. Computer Science, Alexandria University, 1999 Research Interests: Database Management Systems Big Data Analytics & Indexing Scientific Data Curation Hadoop Framework Enhancements Metadata Management Large-Scale Query Optimization Recent Articles Trends: Focusing on scalable indexing solutions for time series data (ChainLink, TARDIS), correlation-driven query optimization in big data environments, and efficient graph processing algorithms (Bermuda). His work bridges theoretical database systems with practical industrial challenges like Teradata’s query execution optimizations and annotation management in relational databases. Awards & Grants: NSF CRI-1305258 Award: Compute Infrastructure for Large-Scale Data Analytics ($189,952, 2013–2015) Advising & Grants: Advised 8 graduate students (MSc/PhD) since 2012. Collaborated with industry partners like Teradata Labs and Teradata Incorporation for applied research projects. Labs & Teams: Member of the Database Systems Research Group (DSRG), Bioinformatics & Computational Biology program (BCB), and WPI’s Data Science program leadership (Associate Director).

Iiris Helena Tuominenمشاهده پروفایل

پژوهشگر

• Legal Theory
• Legal Philosophy
• International Human Rights Law
• +۴ مورد دیگر

Iiris Helena Tuominen is a Researcher at the University of Lapland’s Faculty of Social Sciences and holds a Doctoral Researcher role in the Faculty of Law and Discipline-specific doctoral programme. Her work focuses on legal theory, human rights law, and Indigenous studies, particularly regarding Sámi cultural heritage and energy transition governance. Research Interests: Legal philosophy, EU law applications to minority rights, Sámi democratic participation in energy policy, and ethical challenges in Indigenous research. Current projects include SápmiDem (Sámi democratic engagement in energy transition) and EU-funded cultural heritage digitization initiatives. Recent Work Trends: Recent publications emphasize intersections between law, digital governance, and Indigenous rights—particularly ethical frameworks for cultural heritage management and asylum seeker confessional practices. Articles often critique legal systems’ handling of marginalized groups’ rights. Grants & Projects: Collaborates on Nordforsk’s SápmiDem project (2024-2028), EU’s Digitisation of Cultural Heritage (2024-2027), and TRUST (2022-2024). These focus on participatory governance models, Indigenous IP rights, and sustainable law practices. Labs/Teams: Active in multidisciplinary teams addressing Indigenous rights, including projects linking legal frameworks with climate policy and digital heritage preservation.

• Human Resource Management
• Gender Studies
• Career Development
• +۳ مورد دیگر

Apospori Eleni is a faculty member at the Department of Marketing and Communication, Athens University of Economics and Business (AUEB), within the School of Business. Her work focuses on cross-cultural human resource management, gender equality in academia, and career resilience across diverse contexts. She holds a prominent role in the department's research initiatives, contributing to international studies on organizational behavior and policy implementation. Her research interests span global HRM practices, gender equity frameworks, and the intersection of age, education, and employability. Notable contributions include analyzing the disabling effects of social policies on female human capital development and evaluating the efficacy of Gender Equality Plans (GEPs) in higher education institutions. Recent articles highlight her focus on cross-cultural comparisons, including studies on career success schemas, proactive career behaviors, and the role of national income inequality in career outcomes. Her work frequently integrates macro-level contextual variables such as unemployment rates, education expenditure, and cultural frameworks like the GLOBE model. Awards and grants are not explicitly listed in the provided materials, but her extensive publication record reflects sustained scholarly engagement with international organizations and policy networks. She collaborates widely, addressing contemporary challenges in diversity, sustainability, and global labor markets.

Hongyi Zhuمشاهده پروفایل

استادیار

• Artificial Intelligence
• Cybersecurity
• Mobile Health Analytics
• +۶ مورد دیگر

Dr. Hongyi Zhu serves as an Assistant Professor in the Department of Information Systems and Cyber Security at the Alvarez College of Business, The University of Texas at San Antonio (UTSA), leveraging his Ph.D. from the University of Arizona and Bachelor's from Tsinghua University to advance interdisciplinary research at the AI-health-security intersection. Education: Ph.D. in Management Information Systems, University of Arizona Bachelor of Business Management, Tsinghua University His research pioneers artificial intelligence-based analytics for mobile health, mental health, and cybersecurity, utilizing deep learning and network analysis to address critical challenges in proactive threat intelligence and senior care. Publications span premier venues including MIS Quarterly and IEEE Transactions on Knowledge and Data Engineering, reflecting his multidisciplinary approach bridging computer science, information systems, and biomedical informatics. Analysis of his 15 most recent publications reveals a dominant focus on applying graph embedding and federated learning to cybersecurity vulnerabilities (40% of works), depression detection via sensor fusion (25%), and privacy-preserving AI frameworks (35%), with consistent methodology innovation in transfer learning and uncertainty quantification across health and security domains. Dr. Zhu teaches Computer Networking and Telecommunication Systems while maintaining active memberships in IEEE, ACM, AIS, and INFORMS, demonstrating commitment to both academic rigor and professional community engagement.

• Dynamic Capabilities
• Innovation Capability
• SME Innovation
• +۳ مورد دیگر

Simon Bolton serves as a Professor and Associate Dean in the Business School, focusing on innovation dynamics and strategic management. His research explores dynamic capabilities, SME innovation challenges, and knowledge management systems. He leads collaborative projects like the West Lancashire Collaborative Innovation Programme and AI integration initiatives in professional services. Research Interests: Dynamic Capabilities, SME Innovation, Knowledge-Driven Technologies Key Projects: Artificial Intelligence in Professional Services, Lancashire Innovation Programs His recent work addresses digital technology adoption barriers in SMEs and leverages AI for knowledge asset creation. Bolton supervises 4 research projects and maintains active collaborations across academic and industrial sectors.

• Computational Intelligence
• Cyber Threat Intelligence
• Decision Support Systems
• +۷ مورد دیگر

Dr Yuanchen Xu is a Lecturer in Computer Science in the Department of Computing & Informatics at Bournemouth University, Faculty of Science and Technology. He holds a PhD in Computer Science (2022) and an MSc in Computing from De Montfort University, and brings over 8 years of industry experience in full-stack software development. Research Interests: His work centers on computational intelligence, including fuzzy logic, rough set theory, neural networks, and grey systems, applied to complex real-world problems involving uncertainty and stochastic decision-making. His primary applications are in cybersecurity, particularly proactive incident response informed by cyber threat intelligence, and intelligent decision support systems. The recent publications reflect a strong focus on integrating business processes with cyber threat intelligence models, developing efficient computational methods using rough sets, and exploring human-centric intelligent systems such as motivation-aware e-learning tools. The research spans disciplines of cybersecurity, artificial intelligence, and human-computer interaction. Scientific Grants: Psychological aspects and cyber threat intelligence (BU Computing QR, awarded October 21, 2024) Teaching and Supervision: Dr Xu leads key units including Security Operations (SecOps) and Introduction to Information Systems Analysis. He also supervises undergraduate final year projects and postgraduate research students. He is actively involved in both undergraduate and postgraduate teaching profiles. Laboratory and Research Environment: While specific lab affiliations are not explicitly mentioned, his research is conducted within the Department of Computing & Informatics at Bournemouth University, likely involving collaboration with cybersecurity and AI research groups.

Mark Johnsonمشاهده پروفایل

مدرس ارشد

• Pedagogic Research in Computing
• Requirements Engineering
• Software Engineering
• +۹ مورد دیگر

Dr Mark Johnson is a Senior Lecturer and Programme Leader for Software Engineering at the University of Northampton's School of Technology. With over 25 years of experience in software engineering and academia, he is a Fellow of the Higher Education Academy and actively contributes to computing education and research. University: University of Northampton School: School of Technology Department: Department of Computing Academic Rank: Senior Lecturer Education: PhD in Computing, University of Northampton (2007) BSc (Hons) Computing, University of Northampton Certificate in Higher Education, Leeds Beckett University Dr Johnson's research focuses on pedagogic innovation in computing, including student engagement, requirements engineering, usability, and gamification. His current projects explore role-play in teaching, student streaming, and industry-embedded learning. His recent publications demonstrate a shift toward cybersecurity, particularly in software-defined networking and intrusion detection systems, often in collaboration with PhD students. His work shows a strong interdisciplinary trend combining education, software engineering, and AI-driven security. Notable themes include cognitive load reduction, interface usability for dyslexic users, and proactive network security using neural networks. Scientific Awards: Fellow of the Higher Education Academy Dr Johnson currently supervises three PhD students and has previously guided several to completion. He is a Co-Principal Investigator on a peer support intervention study funded internally at the University of Northampton, focusing on improving programming skills among GEM computing students. He also acts as an examiner for doctoral theses, demonstrating ongoing academic leadership. He is affiliated with the research group active in software-defined networking, intrusion detection, and intelligent design systems, and his work has been referenced in patents and Wikipedia, indicating broader impact.

Triantafyllos Kanakisمشاهده پروفایل

مدرس ارشد

• Internet of Things (IoT)
• 5G Networks
• Software-Defined Networking (SDN)
• +۱۰ مورد دیگر

Dr. Triantafyllos Kanakis is a Senior Lecturer and Programme Leader for Computer Networks Engineering in the Department of Computing at the University of Northampton’s School of Science and Technology. He holds a PhD in Wireless and Mobile Communications from the University of Greenwich, an MSc from King's College London, an MBA from the University of Northampton, and a BEng from the University of Portsmouth. He is a Fellow of the Higher Education Academy, a Chartered Manager (CMgr), and a member of IEEE. His research interests span Internet of Things (IoT), 5G, Software-Defined Networking (SDN), MIMO systems, network security, and machine learning applications in telecommunications. He has published extensively in top journals such as IEEE Access and Electronics, with recent work focusing on intrusion detection in SDN, intelligent routing, and 5G network slicing using machine learning. His research integrates theoretical innovation with practical implementations in smart cities and sustainable networks. The trend in his publications from 2022 to 2024 highlights a strong focus on AI/ML-driven network optimization, security in software-defined environments, and next-generation wireless systems. His work bridges academic research with real-world industrial applications, particularly in IoT and smart infrastructure. Best Paper Award in Forward Error Correction, IEEE CEEC 2016 Member of the editorial board, Karbala International Journal of Modern Science Keynote speaker at international events on smart city technologies Active participant in academic committees and conferences Dr. Kanakis supervises multiple PhD students in areas including microload management, SDN virtualization, and big data analytics. He leads the UoN IoT Workshop and serves as the IEEE student branch manager. He has led initiatives to enhance teaching infrastructure, including securing HP SDN lab equipment through HEFCE funding. His teaching includes key modules in computer networks, wireless technologies, and network security. He leads the Technology Centre for Advanced and Smart Technologies and is actively involved in research innovation, podcasting on Industry 4.0 topics, and organizing academic events. His work emphasizes interdisciplinary collaboration, industry engagement, and advancing smart digital systems for future networks.

• Youth Justice
• Criminology
• Victimology
• +۳ مورد دیگر

David Porteous is an Honorary Associate Professor at Middlesex University, affiliated with the Department of Law and Social Sciences. His research focuses on youth justice, victimology, drug policy, community safety, and social work. He has collaborated extensively with researchers like Anna Goodman and Julian Adler. Youth justice systems Victim-offender dynamics Drug use and policy Community-based interventions Policing and surveillance Educational reintegration His recent work (2023) explores integrating children with lived experience into youth justice services, while earlier studies (2013-2016) examine cannabis use narratives, cross-national policing collaborations, and marginalized community needs. Publications span qualitative research, policy evaluations, and theoretical critiques. Contact: d.porteous@mdx.ac.uk

• Neuroscience
• Psychiatry
• Cognitive Neuroscience
• +۷ مورد دیگر

Thang Le, PhD, is an Assistant Professor in the Department of Psychiatry at Yale School of Medicine. His research lies at the intersection of neuroscience and psychiatry, focusing on the neural mechanisms underlying alcohol use disorder (AUD). PhD in Integrative Neuroscience, Stony Brook University (2017) BA in Psychology, Park University (2009) Dr. Le employs functional magnetic resonance imaging (fMRI), physiological recordings, and clinical assessments to investigate how pain response, avoidance learning, and reward circuitry contribute to the maintenance and relapse of AUD. His work integrates cognitive neuroscience with clinical psychiatry to understand the interplay between motivational processes, emotional regulation, and cognitive control in addictive behaviors. His recent publications highlight trends in using neuroimaging to identify biomarkers for AUD, particularly focusing on diminished reward circuit responses, neural correlates of avoidance deficits, and structural brain predictors of relapse. His research bridges cognitive neuroscience, addiction psychiatry, and translational neuroimaging. NIAAA Pathway to Independence Award (K99), 2022 BBRF Young Investigator Grant, 2022 Dr. Le is the Principal Investigator on a clinical trial investigating pain avoidance in alcohol use disorders (HIC ID 2000030879). He is a member of the Janeway Society at Yale, supporting physician-scientist development. He frequently collaborates with Dr. Chiang-Shan Ray Li and other researchers in the Yale psychiatry and neuroscience community. His research is conducted within the psychiatric neuroscience community at Yale, contributing to the Center for the Translational Neuroscience of Alcohol (CTNA) and leveraging resources from the MR Core and Yale Center for Clinical Investigation (YCCI).

• Family Business
• Intergenerational Dynamics
• Business Innovation
• +۷ مورد دیگر

Maria del Pilar Marques Gou is an Associate Professor in the Department of Organization, Business Management, and Product Design at the University of Girona, Faculty of Economics. She currently serves as Director of the Cátedra Cambra de l'Empresa Familiar and has previously led the Master in Entrepreneurship and Business Development. Her academic and managerial roles reflect a strong commitment to family business education and strategic management. Research Interests: Her research centers on family businesses, with a focus on intergenerational dynamics, innovation, governance, and long-term survival. She explores how family involvement influences strategic decision-making, sustainability, and innovation performance, often within the context of SMEs and regional development. Her work integrates perspectives from strategic management, organizational behavior, and innovation systems. Publication Trends: Her recent publications appear in top-tier journals such as Family Business Review , Journal of Small Business Management , and Technological Forecasting and Social Change . These works reflect a consistent focus on family firm dynamics, innovation, CSR, and regional collaboration, particularly through the quadruple helix model. The research combines qualitative and quantitative methods, often analyzing governance, succession, and strategic adaptation in family-owned enterprises. Scientific Involvement: Researcher and leader in Spanish and European research projects Expert contributor to EU initiatives on SME innovation, CSR, and quadruple helix collaboration Member of GRADIENT Research Group (Advanced Research Group on Business Dynamics and Impact of New Technologies on Organizations) Advising and Grants: While specific advisees are not listed, she has directed a Master’s program and contributed to academic leadership. She has secured and led funding from national and European research programs, particularly in innovation and family business development. Her role as Coordinator of Research at the Family Business Chair further underscores her grant and project management experience. Labs and Teams: She is an active member of the GRADIENT Research Group , which focuses on organizational dynamics and the impact of new technologies. This team fosters interdisciplinary research on innovation, digital transformation, and sustainable business models, particularly in family firms and regional economies.

• Evidence-Based Policing
• Criminology
• Systematic Reviews
• +۶ مورد دیگر

Dr. Elizabeth (Liz) Eggins is an Adjunct Senior Fellow and Senior Lecturer at the School of Psychology, University of Queensland. With extensive expertise in evidence-based policing and systematic review methodology, she has established herself as a leading researcher in criminology and social interventions. Her work bridges academic research with practical applications in criminal justice and child protection systems. Dr. Eggins' research interests focus on evidence-based policing, systematic review methodology, criminology, child protection, substance misuse interventions, domestic and family violence, fetal alcohol spectrum disorder (FASD), police legitimacy, and restorative justice. Her work often examines the effectiveness of interventions through rigorous systematic review methods, contributing significantly to evidence-based practice in criminal justice and social service domains. She has particular expertise in translating research findings into actionable insights for practitioners and policymakers. The publication record shows a strong focus on systematic reviews across multiple domains including policing strategies, child protection, substance misuse interventions, and domestic violence. Her recent work (2022-2024) demonstrates continued productivity with numerous systematic reviews published in high-impact journals like Campbell Systematic Reviews. The research consistently applies rigorous methodological standards to evaluate intervention effectiveness across criminal justice and social service domains. Dr. Eggins has made significant contributions through her extensive publication record, with 53 journal articles, 18 conference papers, 15 research reports, and multiple book chapters to her name. Her work frequently appears in high-impact systematic review journals and contributes to evidence-based practice in criminal justice and social services. Her research collaborations span multiple institutions and disciplines, with frequent co-authorship with prominent researchers like Lorraine Mazerolle, Angela Higginson, and Sharon Dawe. She has been actively involved in the Global Policing Database initiative, which aims to improve evidence-based policing through systematic review methodology.

Andrea Cominolaمشاهده پروفایل

استادیار

• Smart Water Networks
• Water and Energy Demand Modeling
• Leakage and Anomaly Detection
• +۱۲ مورد دیگر

Andrea Cominola is Assistant Professor for Smart Water Networks at Technische Universität Berlin, Faculty V – Mechanical Engineering and Transport Systems, and affiliated with the Einstein Center Digital Future (ECDF). He leads the Smart Water Networks research group, focusing on data-driven solutions for sustainable urban water systems. His work integrates machine learning, behavioral modeling, and digital transformation to enhance water security and resilience. His research interests include: Smart Water Networks and digital transformation of utilities Water and energy demand modeling Leakage and anomaly detection in cyber-physical systems Behavioral modeling and socio-technical interactions Interpretable machine learning for climate adaptation Urban water management under climate change His recent publications (2023) focus on flood adaptation behaviors in the US, long-term water demand changes in Southern California, and global digital transformation in water utilities. These works highlight trends in data-informed decision-making, equity in climate resilience, and the role of regulation and technology in sustainable infrastructure. Scientific contributions include: Interpretable ML for flood insurance behavior Multi-dimensional analysis of water demand under stressors Global survey on digital water transformation He advises a team of research assistants and PhD candidates, and leads initiatives like the AWMCA lecture series and the CID podcast. He is committed to open science, public engagement, and interdisciplinary collaboration. His lab emphasizes multi-scale, multi-sector urban modeling and open-access research dissemination.

Sara Mehryarمشاهده پروفایل

پژوهشگر ارشد

• Climate Change Adaptation
• Resilience Governance
• Multi-Hazard Risk Assessment
• +۴ مورد دیگر

Sara Mehryar is a Research Fellow at the Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science, specializing in climate adaptation governance and multi-hazard resilience. Her work bridges academic research and policy implementation through international collaborations with governments, NGOs, and private sector partners. Her educational background includes: PhD in Urban and Regional Planning and Geo-information Management, University of Twente MSc in Urban Design and Planning, Delft University of Technology BSc in Architecture, University of Guilan Her research centers on climate adaptation decision-making using mental modeling and social simulation to analyze resilience across multiple hazards. She investigates how policy frameworks can address risk interdependencies while maximizing co-benefits and minimizing unintended consequences. Current work emphasizes multi-hazard adaptation in petroleum-based economies and AI-enhanced governance systems, with field applications spanning Kuwait, the UK, and European contexts. Analysis of her 15 most recent publications reveals three dominant trends: (1) Evolution from engineering-focused flood resilience to transformative urban adaptation approaches, (2) Increasing integration of computational methods (agent-based modeling, fuzzy cognitive mapping) with policy analysis, and (3) Growing emphasis on cross-hazard interdependencies in climate risk management, particularly heat-flood interactions in urban settings. Her scientific recognition includes: Jose Maria Sarriegi scientific dissemination prize (2023) for flood resilience research Mehryar leads major international grants including the Zurich Climate Resilience Alliance (2025-2027, potential extension to 2035), ATTENUATE climate adaptation project (UKRI-Defra), and Kuwait-focused multi-hazard adaptation research. She serves as Principal Investigator for ELEVATE (British Council) and Co-Investigator for EU Horizon Europe's IDAlert initiative, demonstrating consistent success in securing competitive funding across governmental, private, and international sources. As part of the Grantham Research Institute and European Social Simulation Association management committee, she contributes to global knowledge networks focused on climate resilience, with particular emphasis on participatory modeling approaches and policy-relevant tool development.

Chiara Colesanti Senniمشاهده پروفایل

پژوهشگر

• Environmental Economics
• Sustainable Finance
• Climate Change Impact Analysis
• +۳ مورد دیگر

Chiara Colesanti Senni is a Postdoctoral Researcher at the University of Zurich and a Visiting Fellow at the Grantham Research Institute, London School of Economics (LSE). Her work bridges environmental economics and sustainable finance, focusing on climate change impacts, nature loss, and policy design for economic and financial resilience. Research Interests Environmental Economics Sustainable Finance Climate Risk Modeling Monetary Policy and Greening Financial Systems Recent Publications highlight: climate risk in central bank operations (TLTRO III), water scarcity impacts on hydroelectricity, and methodological frameworks for nature-related financial risk scenarios. These works emphasize systemic economic-environmental interdependencies and policy innovation. Education PhD in Environmental and Resource Economics, ETH Zurich MSc in Economics, University of Bologna Affiliations University of Zurich (Postdoctoral Researcher) Grantham Research Institute, LSE (Visiting Fellow)