جست‌وجوی استاد و پژوهشگر

Brent E. Sasleyمشاهده پروفایل

دانشیار

• International Relations
• Middle East Politics
• Israeli Politics
• +۸ مورد دیگر

Brent E. Sasley is an Associate Professor and Graduate Advisor in the Department of Political Science at the University of Texas at Arlington. He specializes in the politics of the Middle East, Israeli politics, identity formation, and foreign policy decision-making, with a particular interest in the role of emotions, language, and images in shaping policy. Institution: University of Texas at Arlington School: College of Liberal Arts Department: Department of Political Science Position: Associate Professor and Graduate Advisor Email: bsasley@uta.edu His research focuses on International Relations theory, emotional attachments in foreign policy, identity politics, diaspora influence, and Middle Eastern security. He has published widely on Turkish foreign policy, Israeli decision-making, and the Arab-Israeli conflict. His current research projects explore trauma and conflict resolution, emotional dynamics in international relations, and the role of Jewish scholars in public discourse. The 15 most recent publications reflect a consistent engagement with interdisciplinary themes, blending political psychology, IR theory, memory studies, and comparative politics. His work frequently examines how identity, emotion, and narrative shape foreign policy behavior in the Middle East, particularly in Israel and Turkey. There is a strong emphasis on public engagement, as seen in his numerous op-eds and academic blogging. Brent Sasley has received research grants from the University of Texas at Arlington and the International Council for Canadian Studies. He actively participates in academic conferences such as the International Studies Association and the Association for Israel Studies, and serves as a reviewer for numerous political science and international relations journals. He advises graduate students and teaches a range of courses including Introduction to Middle East Politics, The Politics and Foreign Policy of Israel, International Relations of the Middle East, and graduate seminars on identity and conflict. He is also known for his public scholarship, contributing to outlets like Foreign Affairs , Washington Post , Haaretz , and The Atlantic .

• Trustworthy AI
• Software Testing & Verification
• Requirements Engineering
• +۵ مورد دیگر

Prof. Lionel C. Briand is a leading academic in software engineering and trustworthy AI, holding appointments at the University of Ottawa (EECS Department, Nanda Laboratory) and the University of Limerick (Lero - National Software Research Centre). He serves as Director of Lero and Scientific Director of the SnT software verification lab in Luxembourg. His research focuses on software testing, model-driven engineering, AI-driven quality assurance, and regulatory compliance. He has held the Canada Research Chair (Tier 1) since 2003 and led major institutions like Simula Research Laboratory (Norway) and Fraunhofer Institute (Germany). Education & Career: Full Professor at Carleton University (2008–2012) Head of Software Quality Engineering at Fraunhofer IESE (2000–2008) Research Scientist at NASA Software Engineering Lab (1990s) Research Interests: His work spans secure AI systems, automated legal compliance (e.g., GDPR), metamorphic testing, search-based software engineering, and safety-critical systems. He emphasizes practical applications, collaborating with industry partners globally. Awards & Recognition: IEEE Fellow (2010), ACM Fellow (2020) Harlan Mills Award (2012), ERC Advanced Grant (2016) Fellowships from Royal Society of Canada (2023) and Academia Europaea (2025) Grants & Labs: PEARL grant from Luxembourg FNR for SnT lab ERC Advanced Grant for software testing research Leadership roles in Lero and Nanda Lab Publications: Over 500+ papers on testing methodologies, AI ethics, and regulatory compliance. Notable tools include CompAI (GDPR compliance) and Teasma (DNN test adequacy).

• Business Analytics
• Operations Research
• Machine Learning
• +۵ مورد دیگر

Dr. Hong Ming Tan is a Senior Lecturer at the Department of Analytics and Operations, NUS Business School, and a Research Fellow at the Institute of Operations Research and Analytics (IORA) at National University of Singapore. He holds a PhD in Operations Research and Analytics (2021), MSc in Mathematics (2017), and BSc (Hons) in Applied Mathematics and Economics (2013) from NUS. Doctor of Philosophy, Operations Research and Analytics (2021) Master of Science, Mathematics (2017) Bachelor of Science (Hons), Applied Mathematics and Economics (2013) His research spans Business Analytics , Machine Learning , Operations Research , and Pharmacogenetics . Recent work includes: EcoVal Framework for efficient data valuation in ML Personalized Mental Health through adaptive testing and clustering Antibiotic Resistance modeling using antiresistic strategies CYP2D6 Methylation prediction for precision medicine His publications demonstrate expertise in ML optimization , healthcare informatics , behavioral analytics , and decision science . Current projects include AI-led Smart Data Centre Management and SIA Corp Lab research. He serves as Chair of the Department Finance Committee and advisor to student clubs like Business Analytics Consulting Team. His work addresses real-world challenges in industrial operations, healthcare diagnostics, and educational innovation.

• Augmented Reality
• Virtual Reality
• Biophilic Design
• +۳ مورد دیگر

Michele Gattullo serves as an Assistant Professor within the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy, specializing in design methods for industrial engineering (ING-IND/15). His research bridges cutting-edge extended reality technologies with practical industrial applications, focusing on human-centered solutions for manufacturing, maintenance, and workplace design. Dr. Gattullo's research portfolio centers on Augmented Reality, Virtual Reality, and Biophilic Design, with significant contributions to Human-Computer Interaction in industrial contexts. He investigates how nature-inspired elements in virtual workspaces enhance employee well-being and productivity, while simultaneously developing practical AR tools for assembly guidance, technical documentation, and maintenance support. His work uniquely integrates ergonomics, cognitive psychology, and industrial engineering to optimize human-technology interaction in complex production environments. Analysis of his 15 most recent publications reveals two dominant research trajectories: biophilic design frameworks for virtual/metaverse workspaces (2023-2025) and industrial AR authoring methodologies. The biophilic stream establishes evidence-based guidelines for digital nature integration, while the AR stream delivers validated tools like ADAM and minimal AR approaches that streamline technical documentation creation. Both trajectories emphasize user experience validation through rigorous industrial studies, demonstrating strong interdisciplinary impact across computer science, industrial engineering, and environmental psychology. Scientific Awards: No awards or honors were documented in the available sources. Advising and Grants: The provided materials contain no information regarding graduate student supervision, research grants, or funding sources. His academic profile emphasizes publication output over mentoring activities or project financing details. Laboratories and Teams: While Dr. Gattullo's research involves advanced XR technologies, the source text does not specify laboratory facilities, research groups, or collaborative teams associated with his work at Politecnico di Bari.

Ulrich Schroedersمشاهده پروفایل

استاد

• Psychological Diagnostics
• Technology-based Competency Diagnostics
• Measurement of Cognitive Abilities
• +۵ مورد دیگر

Ulrich Schroeders is a Professor of Psychological Diagnostics at the University of Kassel, where he has been employed since October 2017. His work focuses on developing and validating psychological assessment tools, with particular expertise in cognitive diagnostics and educational measurement. He teaches various programs for approximately 500 students annually and serves as a supervisor for teacher training students preparing for their oral state examinations in Pedagogy/Psychology. Dr. Schroeders earned his PhD from Humboldt University of Berlin in 2010 with a dissertation titled "Measurement of Cognitive Abilities Using Modern Technologies: Artifacts, Equivalence, and New Constructs." Prior to that, he completed his Diploma in Psychology at Julius-Maximilians-University Würzburg in 2004 with a thesis on diagnosing dyscalculia in first-grade students. His research spans several key areas in psychological assessment. He specializes in technology-based competency diagnostics, developing innovative methods for measuring cognitive abilities and school competencies. A significant portion of his work involves applying Machine Learning and metaheuristics to psychometric problems, particularly in structural equation modeling. His methodological expertise includes advancing techniques in Local Structural Equation Modeling (LSEM) and Meta-Analytic Structural Equation Modeling (MASEM), with applications across educational and clinical psychology contexts. Analysis of Dr. Schroeders' recent publications reveals a strong focus on computational approaches to psychological assessment. His work frequently employs optimization algorithms like Ant Colony Optimization and Bee Swarm Optimization to address challenges in test construction and validation. There's a clear trajectory toward game-based and technology-enhanced assessment methods, as seen in studies using Mastermind and Wordle as assessment tools. His research also demonstrates growing interest in applying machine learning to predict behavioral outcomes, including juvenile delinquency, suicide risk, and psychotherapy outcomes. Dr. Schroeders has secured significant research funding, including projects funded by the German Research Foundation (DFG) and the Hector Foundation. His current projects include "Facing the Replication Crisis in Machine Learning Modeling" (2025-2027) and "PINGUIN: Potenzialidentifikation IN der GrUndschule" (2024-2027), which focuses on identifying elementary students' initial competencies. He leads the development of the BEFKI assessment system (Berliner Test zur Erfassung fluider und kristalliner Intelligenz), which includes versions for different age groups (5-7, 8-10, and 11+). His methodological toolbox includes specialized approaches for test construction and validation, particularly focusing on optimization algorithms applied to psychological measurement problems.

Luís Moreira de Sousaمشاهده پروفایل

استادیار

• Geoinformatics
• Spatial Simulation
• Semantic Web
• +۵ مورد دیگر

Luís Moreira de Sousa is an Assistant Professor at the Department of Computer Engineering, Higher Technical Institute (Instituto Superior Técnico), University of Lisbon. His academic work bridges computer science and geography, with a focus on Geoinformatics rather than traditional GIS. He is affiliated with the Information and Decision Support Systems research unit and teaches Data Administration and Information Systems. His research spans several interconnected domains: spatial simulation, semantic web technologies for geospatial data, hexagonal grid systems, and resource depletion studies. Dr. de Sousa has developed innovative approaches to spatial simulation through his DSL3S (Domain Specific Language for Spatial Simulation Scenarios) and has contributed significantly to the Semantic Web through the GloSIS web ontology for soil data. His current major project is the book Spatial Linked Data Infrastructures , which bridges geospatial science and semantic web technologies. His publication record shows consistent contributions to spatial simulation tools, semantic web applications in geospatial domains, and resource depletion analysis. His work demonstrates a clear trajectory from practical spatial simulation tools toward more sophisticated semantic web applications for geospatial data. The recent focus on spatial linked data infrastructures represents the culmination of his interdisciplinary approach, combining computer science rigor with geospatial domain knowledge. Dr. de Sousa is a strong advocate for open source tools and maintains an active presence in the FOSS4G (Free and Open Source Software for Geospatial) community. His professional digital footprint includes Codeberg, Mastodon, ORCID, Google Scholar, LinkedIn, ResearchGate, and StackExchange. Outside his academic work, he maintains interests in resource depletion (having created the Portuguese Peak Oil website PicoDoPetroleo.net in 2005 and contributed to TheOilDrum), cycling (covering thousands of kilometers annually), music, and literature. His Goodreads profile shows an active engagement with science fiction, history, and science literature.

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

Philipp Haindl is a lecturer at the Department of Computer Science and Security at St. Poelten University of Applied Sciences. His work focuses on software engineering, cybersecurity, and AI integration in education and manufacturing. Software Engineering Cybersecurity Artificial Intelligence DevOps Quality Assurance Research Interests: Dr. Haindl explores software metrics, inter-service security in microservices, and AI tools like ChatGPT in programming education. He investigates quality models and non-functional requirements in DevOps environments. Publications: Recent work includes studies on ChatGPT's impact in software engineering education, systematic reviews of microservice security, and frameworks for human-AI teaming in manufacturing.

• Consumer Behavior
• Consumer Psychology
• Brand Management
• +۴ مورد دیگر

Lien-Ti Bei is a Distinguished Professor in the Department of Business Administration at National Chengchi University's College of Commerce in Taipei, Taiwan. She also serves as Chairman of the Center for Public and Business Administration Education. With over 25 years of academic experience, Professor Bei has established herself as a leading scholar in consumer behavior and marketing research in Taiwan and Asia. Her research interests span Consumer Behavior, Consumer Psychology, Brand Management, and Marketing Research, with recent work focusing on ESG implementation, consumer neuroscience applications in marketing, and sustainable business practices. Professor Bei's work bridges theoretical marketing concepts with practical business applications, particularly in the Asian context. Her publication record shows consistent productivity with over 50 journal articles in SSCI/TSSCI-indexed journals since 1995, including recent publications in Journal of Engineering and Technology Management, Journal of Product & Brand Management, and Harvard Business Review Chinese Edition. Her research demonstrates an evolution from traditional brand extension and consumer behavior topics toward contemporary issues like ESG, AI-human interaction, and sustainable marketing practices. Distinguished Professor at National Chengchi University (multiple years) Asia's Top 100 Marketing Scholars (2017) Chungni Outstanding Teaching Award Multiple Research Awards from Taiwan's National Science and Technology Council Management Journal Paper Award Professor Bei has successfully secured numerous research grants, primarily from Taiwan's National Science and Technology Council, with current projects extending through 2026. Her active role as Principal Investigator on multiple grants demonstrates ongoing research productivity. She serves as Editor for Management Review and has contributed to special issues on sustainable development and consumer behavior trends.

R.K. Shyamasundarمشاهده پروفایل

استاد

• Real-Time Programming
• Reactive Programming
• Logic Programming
• +۷ مورد دیگر

R.K. Shyamasundar is a Professor at the Indian Institute of Technology Bombay , with a focus on Real-Time and Reactive Programming, Logic Programming, Pi-Calculus, and Parallel Programs. Research spans formal verification, concurrency, and distributed systems. Key contributions include RT-CDL semantics, Esterel language extensions, and hybrid system controller synthesis. Scientific awards include JC Bose National Fellow, Fellowships at Indian Academy of Sciences and Indian National Science Academy, and Senior Membership in IEEE. His work involves collaborations with institutions like TCS Group and researchers such as Basant Rajan, N. Raja, and Deepak Kapur.

Matthew Collinsonمشاهده پروفایل

مدرس ارشد

• Logic
• Theoretical Computer Science
• Information Security
• +۱۲ مورد دیگر

Matthew Collinson is a Senior Lecturer in Computing Science at the University of Aberdeen, where he also serves as Head of Computing Science and Academic Line Manager. He holds an affiliation with the Scottish Informatics and Computer Science Alliance (SICSA) and leads the EPSRC-funded project SSPEDI (Supporting Security Policy with Effective Digital Intervention). Education: BSc Mathematics, University of Edinburgh (1997) MSc Mathematical Logic, University of Manchester (1998) PhD Computer Science, University of Manchester (2003) Research Interests: His research spans theoretical computer science and cybersecurity , focusing on non-classical logics (intuitionistic, modal, substructural), semantics of computation , concurrency theory , and type theory . He applies these foundations to information security , particularly in modelling security policies, access control, and the economics of cybersecurity decisions. His work integrates formal verification , simulation tools (e.g., Gnosis), and game-theoretic models . Publications Trends: Recent publications (2016–2022) emphasize human-centred security , exploring how persuasion and behavioural interventions can reduce cybersecurity vulnerabilities. Earlier works (2008–2015) concentrate on mathematical systems modelling , layered graph logics , and trust domains , bridging high-level policy and low-level system configurations. Projects & Grants: SSPEDI (2017–2020, EPSRC): Human dimensions of cybersecurity policy compliance. ALPUIS (EPSRC consortium): Algebra and logic for security policy and utility. Trust Domains (RCUK/TSB, 2011–2014): Framework for modelling secure information sharing. Seconomics (EU FP7, 2012–2015): Socio-economic impacts of cybersecurity regulation. PhD Supervision: He has successfully supervised PhD students including Kevin McDonald (2014), Barry Taylor (2015), and Robert (Bob) Duncan (2016), whose theses addressed logic-based security architectures, vulnerability analysis, and cloud stewardship respectively. Labs & Teams: His research is conducted within the Computing Science section of the School of Natural and Computing Sciences, leveraging collaborations with National Grid, HP Labs, and other academic partners.

Dominique Unruhمشاهده پروفایل

استاد

• Quantum Computing
• Quantum Cryptography
• Post-Quantum Cryptography
• +۵ مورد دیگر

Dominique Unruh is a Professor at RWTH Aachen University , leading the Chair for Quantum Information Systems . Additionally, they hold a Professorship in Cryptography at the Institute of Computer Science of the University of Tartu , Estonia. Their research spans quantum computing , quantum cryptography , post-quantum cryptography , and formal verification of cryptographic protocols and programs. Research Focus : Quantum programs, zero-knowledge proofs, lattice-based cryptography, and quantum random oracle model. Key Contributions : Advancements in NTRU encryption efficiency, quantum Hoare logic, and rewinding techniques for security proofs. Tools : Active development in the EasyCrypt framework for cryptographic verification. Email : unruh@cs.rwth-aachen.de

Melissa Parkerمشاهده پروفایل

استاد

• Anthropology of Global Health
• Medical Humanitarianism
• Legacies of War
• +۴ مورد دیگر

Melissa Parker is a Professor in the Department of Global Health and Development at the London School of Hygiene & Tropical Medicine. With a DPhil in Human Sciences from Oxford University, her work bridges social and biological anthropology to address global health challenges in conflict zones and epidemic contexts. Affiliated with the Centre for Epidemic Preparedness and Response and Health in Humanitarian Crises Centre, she co-founded the Social Science in Humanitarian Action Platform after the 2014 Ebola epidemic. Her research spans: Legacies of war in Uganda, South Sudan, and post-LRA dynamics Epidemic response frameworks (Ebola, COVID-19, mpox) across Africa Biosocial approaches to neglected tropical diseases in Sudan, Tanzania, and Uganda Recent publications focus on vaccine enforcement efficacy, militarisation of epidemic response, and adaptive localised health interventions. Over 15 major articles since 2016 examine NTD control, epidemic authority structures, and post-conflict health systems. Scientific contributions include: Geoffrey Harrison Prize Lecture (2017) Member of WHO Guidelines Development Group on Mass Drug Administration Contributor to UK Government's SAGE ethnicity subgroup (2020-2021) She supervises PhD students on topics like epidemic preparedness in refugee settings and impact of Ebola on West African health systems , while teaching modules in social research, conflict health, and medical anthropology.

• Software Security
• IoT Security
• Software Supply Chains
• +۲ مورد دیگر

Mojtaba Moazen is a PhD student and researcher at the Division of Theoretical Computer Science , part of KTH Royal Institute of Technology in Sweden. He is actively involved in the WASP – Wallenberg AI, Autonomous Systems and Software Program and the NEST CyberSecIT project, focusing on securing IoT applications and software supply chains. His work bridges academic research with critical real-world cybersecurity challenges. Education: PhD (ongoing) in Theoretical Computer Science, KTH Royal Institute of Technology Master of Science in Information Technology, Sharif University of Technology Bachelor of Science in Computer Engineering, K. N. Toosi University of Technology Research Interests: Mojtaba specializes in software security , IoT security , and software supply chains , with a focus on developing robust security mechanisms for emerging technologies. His recent publications highlight advancements in Android malware detection and continuous integration testing. Courses Assisted: Applied Cryptography (DD2520) Computer Security (DD2395) Internet Programming (DD1386) Language-Based Security (DD2525) Programming Techniques (DD1310)

• AI Hardware
• Digital Chip Design
• Efficient AI Algorithms
• +۶ مورد دیگر

Deliang Fan is an Associate Professor at the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ. His research focuses on AI hardware, in-memory computing, and neuromorphic systems. He received his MS and PhD from Purdue University under Prof. Kaushik Roy. Education: PhD, Purdue University (2015) Research Interests: AI Hardware, In-Memory Computing, Adversarial AI, Neuromorphic Computing His work spans cross-layer co-design for AI applications, including deep learning, bioinformatics, and graph processing. He has authored 170+ peer-reviewed papers and developed hardware solutions for spintronic and memristor-based systems. Recent publications emphasize efficient architectures for transformers, federated learning, and robust neural networks. Awards include the NSF Career Award and multiple best paper recognitions. He serves in editorial and organizational roles for leading conferences like DAC, ISQED, and GLSVLSI.

Alysson Neves Bessaniمشاهده پروفایل

دانشیار

• Distributed Systems
• Dependability
• Fault Tolerance
• +۵ مورد دیگر

Alysson Neves Bessani is an Associate Professor at the Informatics Department of Faculdade de Ciências da Universidade de Lisboa, Portugal, and a member of the LaSIGE research group. His work focuses on distributed systems, Byzantine fault tolerance, and cybersecurity, with significant contributions to blockchain consensus and intrusion-tolerant architectures. Academic Rank: Associate Professor University: Universidade de Lisboa School: Faculdade de Ciências Department: Informatics Department Research Groups: LaSIGE, Navigators Research Interests span distributed systems design, Byzantine fault tolerance, adaptive consensus protocols, and secure multi-cloud storage. His work bridges theoretical foundations with practical implementations like the BFT-SMaRt library and the Vawlt startup. Scientific Awards include multiple Test-of-Time Awards (DSN'24, DSN'21), IBM Faculty Award (2017), and Best Student Paper at Middleware'19. He has advised numerous PhD and Master’s students, contributing to advancements in fault-tolerant systems. Publications (15 most recent) reveal trends in Byzantine consensus optimization, blockchain integration, and AI-driven threat detection. His interdisciplinary work combines distributed computing with genomics and IoT security, reflecting a broad impact across computer science.