جستجوی استاد راهنمای دانشگاهی

He Zhuمشاهده پروفایل

استادیار

• Programming Languages
• Compilers
• Wireless Communications
• +۵ مورد دیگر

He Zhu is an Assistant Professor at Rutgers, The State University of New Jersey, affiliated with the Department of Computer Science. His research focuses on programming languages, compilers, wireless communications, IoT systems, and 5G network protocols. He received the PLDI 2019 Distinguished Paper Award for his contributions to formal methods in programming systems. His work addresses challenges in vehicle-to-everything (V2X) communication, resource allocation in sidelink networks, network security, and dynamic authorization frameworks for IoT devices. Key research interests include optimizing 5G NR (New Radio) protocols for vehicular environments, developing efficient data aggregation techniques for user equipment, and enhancing service layer mechanisms for IoT systems. He leads projects funded by the NSF, such as 'Formal Symbolic Reasoning of Deep Reinforcement Learning Systems,' and has contributed to advancements in beam management, RACH protocols, and energy-efficient DRX configurations in wireless networks. His office is located in Core 315. Notable Awards: PLDI 2019 Distinguished Paper Award Grants: NSF Grant: Formal Symbolic Reasoning of Deep Reinforcement Learning Systems His research group explores intersections between compiler design, distributed systems, and network architecture, with applications in smart mobility, edge computing, and secure IoT communication. He actively contributes to standards development for 5G and future generations of wireless networks.

• Artificial Intelligence
• Machine Learning
• Software Engineering
• +۶ مورد دیگر

Talal Shaikh is an Associate Professor at Heriot-Watt University's School of Mathematical and Computer Sciences in Dubai. He serves as Director of Undergraduate Studies and Programme Director for BSc Computer Science, BSc CS (AI), and MSc Software Engineering. With a decade of industry experience as a Chief Information Officer and Software Engineer, he bridges practical insights with academic research. Research Interests: Pervasive Computing, IoT/M2M, AI/ML, WiFi Sensing for Healthcare, Financial Machine Learning, Educational Technology Awards: Teaching Excellence Awards (2017/18), Fellow of the Higher Education Academy (FHEA), multiple Learning and Teaching Oscars (2016, 2017, 2018) His work spans Ubiquitous Computing and IoT , focusing on sensor networks and WiFi-based sensing for healthcare. In Artificial Intelligence , he applies ML to robotics, financial analytics, and educational innovation. Recent articles analyze Reinforcement Learning , Emotion Recognition , and WiFi Sensing applications. His teaching emphasizes student-centric learning, with over 100 supervised dissertations achieving distinctions. Collaborations include international conferences and interdisciplinary research in smart environments and adaptive systems.

• Sustainable Consumption
• Social Media Marketing
• Child Nutrition
• +۳ مورد دیگر

Karine Charry is a Professor at the Louvain School of Management (LSM) within the University of Louvain (UCLouvain), affiliated with the Louvain Research Institute in Management and Organizations (LouRIM) . Her work focuses on behavioral responses to marketing strategies in health and sustainability contexts. Email: karine.charry@uclouvain.be Office: Building B, Floor 02, Office B207, Chaussée de Binche 151, 7000 Mons Research Interests: Behavioral impact of sustainability labels and nudges Effectiveness of environmental NGO campaigns Role of social media influencers in dietary and ecological behaviors Prosocial communication via platforms like Twitter Co-branding and packaging strategies for child-targeted products Key Article Trends (2006-2025): Her publications span food marketing ethics, social media dynamics, threat appeals in youth campaigns, gamification for health apps, and sustainability labeling. Notably, she investigates how social norms and digital engagement shape pro-environmental and healthy eating behaviors in children and adolescents.

• Team Composition and Management
• Strategic Human Resource Management
• Goal Orientation Theory
• +۳ مورد دیگر

Jia-Chi Huang is a Distinguished Professor and Dean of the College of Commerce at National ChengChi University (NCCU) in Taiwan. He has been serving as a Professor in the Department of Business Administration since 2013 and has held various administrative positions including Dean of the College of Commerce since 2023, and previously as Department Chair and Associate Dean. His academic career spans over three decades with continuous research contributions in organizational behavior and human resource management. National Taiwan University - PhD in Human Resource Management and Organizational Behavior (1992-1997) Chung Yuan Christian University - Master's in Business Administration (1988-1990) National Cheng Kung University - Bachelor's in Industrial Management (1984-1988) Huang's research primarily focuses on team composition and management, strategic human resource management, and goal orientation theory. His work explores how team dynamics, leadership styles, and organizational structures influence team performance, creativity, and innovation. He has made significant contributions to understanding transactive memory systems, group affect tone, and their impact on team outcomes. His research bridges theoretical frameworks with practical applications in organizational settings, particularly in the Asian business context. Analysis of Huang's recent publications reveals a consistent research trajectory examining team dynamics and leadership. His work increasingly integrates multiple theoretical perspectives including social learning theory, resource conservation theory, and goal orientation frameworks. There's a clear focus on how emotional and cognitive team processes interact to influence creativity and performance. His research has evolved from individual-level analyses to more complex multilevel models examining team-organization interactions, with particular attention to cross-cultural contexts in East Asia. Academic Research Excellence Award from National ChengChi University Distinguished Professor designation at NCCU Yushan Academic Award from Yushan Financial Holding Emerald 2013 Citation of Excellence Award 2013 Carolyn Dexter Award Nominee from Academy of Management Senior Excellent Teacher Award (20 years) from NCCU IACMR-RRBM Award for Responsible Research in Management (2018-2019) Professor Huang has secured substantial research funding as Principal Investigator, particularly from Taiwan's Ministry of Science and Technology (MOST), with continuous funding spanning multiple three-year projects. His research portfolio demonstrates a remarkable consistency in exploring team dynamics, leadership, and human resource management systems. He has served as editor for several prominent academic journals including the Journal of Management and Business Research (management學報) as Chief Editor since 2019, and previously as Editor-in-Chief for Organizational and Management journal (2009-2012) and Dongwu Journal of Economics and Business (2007-2018). His service to the academic community extends to editorial board positions and leadership roles in professional associations including the Taiwan Organization and Management Association. While specific laboratory information isn't detailed in the provided materials, Professor Huang's research appears to be conducted through collaborative networks involving multiple institutions across Taiwan and internationally. His work frequently involves cross-cultural comparisons and multilevel analyses, suggesting involvement with research teams that span organizational boundaries. His ongoing projects related to leadership humility, team memory systems, and ethical climate indicate active research groups focused on organizational behavior phenomena.

• Human Factors
• Cybersecurity
• Cognitive Science
• +۶ مورد دیگر

Dr. Oliver Guidetti serves as a Level A Lecturer in Psychology at the University of Wollongong, specializing in human factors, cyber vigilance, and applied cognitive science. His interdisciplinary research bridges psychology, cybersecurity, and artificial intelligence to address critical challenges in human-machine collaboration and security operations environments. His educational foundation includes: Bachelor of Mathematics from Edith Cowan University (2011-2014) Bachelor of Science in Psychology from Edith Cowan University (2011-2014) Bachelor of Science (Psychology Honours) from Edith Cowan University (2015) Doctor of Philosophy from Edith Cowan University (2019-2022) Guidetti's research centers on the cognitive and physiological dimensions of human performance in security contexts. He investigates how eye-tracking, biometric monitoring, and neuroergonomic approaches can optimize vigilance in cybersecurity operations, while exploring socio-technical impacts of AI on human decision-making. His work extends to digital relationship literacy and AI bias mitigation, demonstrating applications across defense, healthcare, and industrial settings through collaborations with the Department of Home Affairs and Western Australian Cyber Defence Taskforce. His 2023-2024 publications reveal a cohesive research trajectory focused on cyber vigilance task design, human-AI teaming frameworks, and neuroergonomic validation methods. The corpus shows increasing integration of biometric data with cognitive theory to develop real-time performance assessment tools, alongside growing attention to ethical AI governance and cross-sector resilience in critical infrastructure protection. As an educator, Guidetti supervises Honours and PhD students in human factors and AI-driven research while teaching psychology research methods and cybersecurity applications. He co-developed an Australian Psychological Society-certified professional development course for psychologists entering cybersecurity fields, demonstrating his commitment to translating research into industry practice. His professional leadership includes advising on cyber vigilance frameworks, developing AI bias mitigation strategies, and serving on APS committees focused on digital psychology applications. Current projects involve designing AI-driven dating simulators for relationship literacy interventions and creating certified training programs for security operations personnel.

• Database Information Management
• Big Data Management Systems
• Data Structures
• +۲ مورد دیگر

Ioannis Tsaknakis is an Associate Professor at the Department of Electrical & Computer Engineering, School of Engineering, University of Peloponnese. He holds a PhD in computational geometry and multidimensional data structures from the University of Patras (2004) and has been actively involved in software systems research since 2004. His work spans Database Information Management , Big Data Systems , and Knowledge Mining , with a focus on data structures and computational geometry. Research Interests : Information Management in Databases Big Data Management Systems Computational Geometry Knowledge Mining in Databases/Web Publications highlight his contributions to IoT-driven educational frameworks, machine learning applications, and cryptographic systems for data security. He has taught courses on software design and data management since joining the University of Peloponnese in 2019. Contact : jtsaknakis@uop.gr . Office hours are in Building K (Monday & Tuesday, 8:00-9:00).

• Leadership Studies
• Organizational Psychology
• Identity Dynamics
• +۳ مورد دیگر

Professor Susanne Braun is a distinguished faculty member in the Department of Management and Marketing at Durham University's Faculty of Business. Her academic work focuses on leadership identity dynamics, narcissism in leadership contexts, and authentic leadership development. Braun maintains an active research program with numerous publications spanning leadership theory, organizational psychology, and identity studies. Her research interests center on leader and follower identity dynamics , examining how individuals' perceptions of themselves as leaders evolve and influence their behavior. She extensively investigates narcissism in leadership , differentiating between grandiose and vulnerable forms and exploring their contextual manifestations. Her work on authentic leadership examines how leaders can develop genuine self-expression in organizational contexts. Braun's research employs diverse methodologies including multi-study investigations, quasi-experimental designs, and dynamical systems approaches to capture the fluid nature of leadership identities. Braun's publication record reveals consistent scholarly output with a notable concentration in 2023-2025, demonstrating her active research trajectory. Her work spans multiple publication types including journal articles, book chapters, and authored books. Thematically, her research shows progression from foundational work on narcissism and motivation to lead toward more complex investigations of identity dynamics in response to organizational events and contexts. She frequently collaborates with international scholars, indicating strong global research networks. Braun has supervised nine doctoral students, including both PhD and Doctor of Business Administration candidates. Her supervision portfolio shows consistent activity from 2015 to present, with five current students and four completed degrees. She frequently serves as Director of Studies and collaborates with other faculty members as second supervisors, demonstrating integration within her academic community.

Amin Mesmoudiمشاهده پروفایل

دانشیار

• Data Engineering
• Machine Learning
• Anomaly Detection
• +۵ مورد دیگر

Amin Mesmoudi serves as Associate Professor in Data Engineering at the University of Poitiers' IUT (Institut Universitaire de Technologie), with dual laboratory affiliations at LIAS-ENSIP (Poitiers campus) and LIAS-ISAE-ENSMA (Chasseneuil campus). His research bridges theoretical database systems with practical large-scale data engineering challenges, particularly in semantic web technologies and machine learning applications. The laboratory maintains physical presences at both ENSIP's Bâtiment B25 in Poitiers and ISAE-ENSMA's Téléport 2 facility in Chasseneuil, facilitating cross-institutional collaboration. Mesmoudi's research program centers on scalable data management systems, with three interconnected pillars: (1) RDF and graph-based query optimization techniques for billion-triple datasets, (2) machine learning integration for spatial query performance and anomaly detection, and (3) explainability frameworks for complex black-box models. His work demonstrates consistent evolution from foundational database systems (2011-2016) toward contemporary AI-driven data engineering, particularly evident in his 2023-2025 publications on temporal dependency preservation and co-selection explainability. The Data Engineering team within LIAS laboratory provides the primary research context for these investigations. Publication analysis reveals strong methodological continuity in addressing scalability bottlenecks across database paradigms. Early work focused on SQL-on-MapReduce benchmarking for astronomy databases (2015-2016), transitioning to specialized RDF processing frameworks (2019-2021), and culminating in current hybrid approaches combining temporal modeling with machine learning (2023-2025). Key technical themes include fragmentation strategies for distributed data, optimizer feedback mechanisms, and graph-based query acceleration - all targeting real-world performance constraints in big data environments. As a core member of LIAS laboratory's Data Engineering team, Mesmoudi contributes to France's national research infrastructure in computer science and automation systems. The laboratory's dual-university structure enables unique cross-pollination between University of Poitiers' academic programs and ISAE-ENSMA's engineering specialization, with Mesmoudi's work exemplifying this synergy through applications spanning astronomy databases to wireless sensor networks.

Vir V. Phohaمشاهده پروفایل

استاد

• Cyber Security
• Machine Learning
• Biometrics
• +۴ مورد دیگر

Vir V. Phoha is a distinguished Professor in the Department of Electrical Engineering and Computer Science at Syracuse University's College of Engineering and Computer Science. He holds multiple prestigious fellowships including AAAS, AAIA, IEEE, NAI, and SDPS, and was named an ACM Distinguished Scientist in 2008. Dr. Phoha's research spans across cybersecurity, machine learning, and biometrics. His work focuses on cutting across conventional disciplines to unify basic and common concepts, particularly in security (malignant systems, active authentication), machine learning (decision trees, statistical, and evolutionary methods), and computer networks (anomalies, optimization). He develops field-realizable defensive and offensive cyber-based systems using these methodologies. His recent publications reveal a strong focus on continuous authentication, biometric security, fake news detection, and adversarial challenges in cybersecurity. The research shows an evolution from traditional network security to more specialized areas like wearable device security, keystroke dynamics, and gait authentication. Scientific Awards: Fellow of AAAS, AAIA, IEEE, NAI, SDPS ACM Distinguished Scientist (2008) IEEE Computer Society Distinguished Visitor (2024-2026) ACM Distinguished Speaker (2012-2015) IEEE Region 1 Technological Innovation Award (2017) "Highest Impact Award" IEEE CVPR 2018 Workshop on Biometrics Dr. Phoha serves as an associate editor for the ACM journal, ACM Digital Threats: Research and Practice (DTRAP) , and as an associate editor of IEEE Transactions on Computational Social Systems (TCSS) . He has advised numerous students who have gone on to publish significant research in cybersecurity and biometrics. His work has been supported by grants from DARPA and NSF, including the development of the BB-MAS dataset which became one of IEEE DataPort's most popular datasets.

Uwe Grünefeldمشاهده پروفایل

استاد مهمان

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Dr. Uwe Grünefeld is a Visiting Professor at the Faculty of Computer Science , Institute for Computer Science and Business Information Systems (ICB) of the University of Duisburg-Essen. He has been actively contributing to Human-Computer Interaction research through multiple publications in 2025-2022 focusing on Virtual Reality , Augmented Reality , and Robotics . Research Interests span across immersive technology applications for health behavior change (situated artifacts, weight visualization mirrors), haptic feedback systems (EMS for weight perception, vibrotactile directional cues), and behavioral biometrics (hand tracking identification, gaze-based user recognition). His work addresses cross-reality system design , collaborative robotics , and human-in-the-loop simulation methodologies . Key Publications demonstrate significant contributions to VR/AR user engagement, with particular focus on Physical activity promotion through situated artifacts Advanced haptic feedback techniques for immersive environments Behavioral biometric identification systems Robot motion intent communication Cross-reality transition visualization His research often employs mixed-method approaches combining technical implementations with user studies involving quantitative and qualitative data collection.

• Persuasive Communication
• Social Media Influencers
• Digital Advertising
• +۴ مورد دیگر

Dr. Sophie C. Boerman is an Associate Professor of Persuasive Communication in the Strategic Communication Group at Wageningen University & Research. She holds a PhD from the University of Amsterdam (2014) and leads research on digital persuasion mechanisms in social media environments. Her work examines how communication from influencers, user interactions, and advertisements shape beliefs, attitudes, and behaviors, with applied focus on sustainable and health decision-making. Research interests center on: Algorithmic persuasion frameworks in digital advertising Privacy calculus and surveillance perceptions in behavioral targeting Effectiveness of sponsorship disclosures across media formats Influencer marketing dynamics and regulatory compliance Behavioral interventions for sustainability and health promotion Her publications demonstrate strong focus on sponsored content disclosure effectiveness, privacy protection behaviors, influencer marketing regulations, and algorithmic persuasion across health/sustainability contexts. Recent works show increased attention to AI ethics, vulnerable populations, and cross-platform disclosure standardization. Honors include: Top 5 finalist for Women in AI Researcher Award 2023 Best Reviewer Award from International Journal of Advertising (2022) Research awards from ICA, EAA, ASCoR, and SWOCC Leadership roles: Board member: European Advertising Academy, SWOCC, GvR, Wageningen Young Academy Chair: Environmental Communication TWG of NeFCA Member: ECoLab, Cosmetic Procedures expert group, Better Personalized Ads initiative Editorial positions include Associate Editor for International Journal of Advertising (current) and former Associate Editor for Journal of Interactive Advertising (2020-2022).

Tianhao Wangمشاهده پروفایل

استادیار

• Differential Privacy
• Machine Learning Privacy
• Data Security
• +۳ مورد دیگر

Tianhao Wang is an Assistant Professor in the Department of Computer Science at the University of Virginia School of Engineering and Applied Science. His work focuses on advancing differential privacy and machine learning privacy, with particular expertise in privacy-preserving technologies for data synthesis, adversarial machine learning, and secure AI systems. His research interests span differential privacy mechanisms, secure data sharing, and mitigating privacy risks in modern AI systems. He explores how to protect sensitive information in machine learning models, synthetic data generation, and network analysis while maintaining utility. Recent work highlights include developing benchmarks for private image synthesis (DPImageBench), safeguarding text data from misuse (ExpShield), and analyzing privacy threats in pre-trained language models. His publications reflect a strong emphasis on both theoretical foundations and practical applications of privacy-preserving techniques. Dr. Wang's contributions address cutting-edge challenges in AI ethics, secure machine learning, and privacy engineering, with implications for healthcare, cybersecurity, and data-driven decision-making systems.

Chiara Bodeiمشاهده پروفایل

دانشیار

• Computer Science
• Cybersecurity
• Formal Methods
• +۴ مورد دیگر

Chiara Bodei is an Associate Professor at the Department of Computer Science, University of Pisa. She specializes in cybersecurity, formal methods, and programming languages. Her teaching responsibilities include courses such as 'Programming Fundamentals with Laboratory' and 'Security Methods and Verification' at both undergraduate and graduate levels. She has contributed to research in automotive cybersecurity, IoT security, and formal analysis of software systems. Her work emphasizes secure communication protocols, privacy policies in automotive data, and context-aware security mechanisms. She collaborates with industry and academia on projects related to software-defined vehicles and IoT security. Her research has been published in top-tier conferences and journals, focusing on practical and theoretical advancements in computer security and formal methods. Research Interests: Cybersecurity, Formal Methods, Automotive Systems Security, IoT Security, Programming Languages, Context-Aware Systems. She has co-authored numerous papers on topics such as vehicular communication security, secure automotive protocols, and privacy in IoT systems. Teaching: Bodei has taught courses like 'Fondamenti di Programmazione' (undergraduate), 'Security Methods and Verification' (graduate), and 'Language-Based Technology for Security' (master’s level) across multiple academic years. She emphasizes practical programming skills and theoretical foundations in her courses. Labs/Teams: Her work is supported by the Department of Computer Science labs at the University of Pisa, focusing on applied research in cybersecurity and formal systems.

• Student participation in university teaching
• Expressive writing in career guidance
• Affectivity in student learning processes
• +۳ مورد دیگر

Alessandro Di Vita is an Associate Professor at the Department of Psychological, Pedagogical, Physical Exercise and Training Sciences, School of Medicine and Surgery, Università degli Studi di Palermo (UNIPA). His work centers on educational psychology, career orientation, and pedagogical methodologies for adolescents and university students. Research Interests: Expressive writing for life planning, self-efficacy development, performance anxiety management, peer tutoring, and intercultural education. Key Projects: «Telemaco» (remote peer tutoring), «FOrCe» (career guidance interventions), and «FOrP» (school-university transition). Collaborations: Worked with international institutions like Universidad Austral (Argentina) and Universidad de Estudios de Palermo (Italy). His publications from 2007–2025 reflect a consistent focus on adolescent relationships, educational reform, and digital pedagogy. He has contributed to validation studies for psychological scales like the Worry Emotionality-Junior (WE-J) and developed methodologies such as «SeCo» for post-diploma decision-making. Alessandro also emphasizes Student Voice in educational processes, promoting active participation and resource utilization. Recent works include international comparative studies on peer tutoring and training programs for secondary school teachers.

• Gender Studies in Business
• Organizational Leadership
• Management
• +۳ مورد دیگر

Elizabeth P. Karam is the Department Chair of Management and an Associate Professor at the College of Business , Colorado State University . Her research focuses on gender issues in business and leadership impacts on organizational outcomes. She has published in top journals like the Journal of Applied Psychology and The Leadership Quarterly , with notable recognition including the 2015 JOM Best Paper Award and multiple university-level honors for teaching, research, and service. Education BA in Sociology, University of Michigan MBA and PhD, Michigan State University Liz Karam's research examines leadership dynamics, organizational culture, and psychological factors influencing workplace behavior. Her recent work explores topics such as benevolent leadership , authentic leadership theory , and impostor syndrome , emphasizing practical implications for organizational effectiveness. Her publications reflect a strong focus on meta-analytic methods and behavioral theory, with keywords spanning leadership styles, organizational psychology, and equity in academia. Scientific Awards and Recognition 2015 JOM Best Paper Award College and university awards for excellence in teaching, research, and service Recognition for sustaining a learning community Her career bridges academic research and practical industry experience, having worked in banking, human resource management, and organizational development prior to academia. She actively contributes to advancing gender equity in business contexts, particularly in response to crises like the COVID-19 pandemic.