جست‌وجوی استاد و پژوهشگر

Savvas G. Loizouمشاهده پروفایل

استاد

• Control Theory
• Robotics
• Autonomous Systems
• +۷ مورد دیگر

Savvas G. Loizou is a faculty member at the Cyprus University of Technology , affiliated with the Department of Mechanical and Materials Science and Engineering . He established the Robotics, Control, and Decision Systems Laboratory (RCDS Laboratory) in 2011. Education: PhD in Mechanical Engineering (2005) and Eng. Diploma (2000) from National Technical University of Athens (NTUA). Postdoctoral Experience: GRASP Laboratory, University of Pennsylvania (2005–2007). His research focuses on control theory for autonomous robotic systems , with applications in underwater, aerial, ground, and micro-robotics . Key areas include multi-agent coordination , human-robot interaction , task planning , and sensor-based navigation . Recent work emphasizes logistics automation , UAV hardware platforms , and bounded control algorithms . Dr. Loizou has contributed to multi-agent formation control , underwater vision systems , and nonlinear model predictive control for electric vehicles. He is active in control system design and navigation transformations for complex environments. His laboratory, RCDS , serves as a hub for research in autonomous systems and decision-making algorithms.

Paola Mengottiمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Neurostimulation
• Neuroimaging
• +۲ مورد دیگر

Dr. Paola Mengotti is a Senior Researcher in the Cognitive Neuroscience group (INM-3) at the Research Center Jülich, Germany. Her work focuses on cognitive processes, particularly spatial attention, neurostimulation techniques, and neuropsychological mechanisms. She investigates the interplay between neural networks and behavioral outcomes using advanced methodologies such as neuroimaging (fMRI, EEG) and transcranial magnetic stimulation (TMS). Her research interests include belief updating during attentional tasks, the role of the temporo-parietal junction in cognitive functions, and the neural correlates of food valuation and eating behavior. She also explores motor intention and decision-making processes, with studies on how brain responses modulate trust-repayment behaviors and energy estimation of food items. Mengotti's studies often integrate behavioral experiments with neuroimaging data to uncover mechanisms underlying attentional deployment, conflict resolution, and probabilistic reasoning. Her work highlights the importance of network-based approaches in understanding both typical and pathological cognitive functions, such as in stroke patients and aging populations. Key contributions include identifying neural signatures of belief updating and spatial attention deficits, as well as the impact of body-part specificity in gesture imitation post-stroke. Her research bridges cognitive neuroscience with clinical applications, emphasizing translational outcomes for neuropsychological rehabilitation and neurostimulation therapies.

• Human Resource Management
• Workforce Aging
• Retirement and Re-Entry
• +۸ مورد دیگر

Tania Saba is a Full Professor at the École de relations industrielles within the Faculty of Arts and Sciences at the Université de Montréal . She holds the BMO Chair in Diversity and Governance and is affiliated with the CRIMT and CÉRIUM research centers. Her academic roles include Vice-Dean of Undergraduate Studies (2010–2012) and Dean of the Faculty of Arts and Sciences (2015–2017). She is also a key figure in Quebec’s research initiatives, leading projects like the Women Entrepreneurship Knowledge Hub. Her research focuses on workforce aging, retirement strategies, intergenerational dynamics, and international HR practices in multinational corporations . She has supervised over 30 graduate theses, addressing topics such as telework during the pandemic, Black immigrant women’s career success, and knowledge transfer in global organizations. Her work spans 60+ publications , including seminal books like Gestion des ressources humaines: tendances, enjeux et pratiques actuelles . Awards include the Emerald Management Reviews’ Citation of Excellence and Verity International Prize . Recent projects address diversity in SMEs, AI-driven HR tasks, and sustainable entrepreneurship ecosystems. Research Grants: Leads projects funded by FRQSC, SSHRC, and federal agencies, totaling millions in research support. Professional Networks: Active in Quebec’s policy circles, advising on workforce policies and inclusion strategies. Key Teams: Directs the BMO Chair team and collaborates with global researchers via CRIMT.

• Building Design and Performance
• Visual and Thermal Comfort
• Human Health and Wellbeing
• +۷ مورد دیگر

Veronica Garcia Hansen is an Associate Professor in the School of Architecture & Built Environment at Queensland University of Technology (QUT). Her research focuses on the interplay between building design and performance, emphasizing visual/thermal comfort, human health/wellbeing, and innovative methodologies using sensors, machine learning, and VR. She is an internationally recognized expert in high-performance building envelopes, daylighting, and lighting's non-visual health effects. Her 2020 WiSTEM2D award ($250k grant) supported 'healing environments in hospitals via efficient lighting design,' one of six global awards selected from 550 applications. Education: PhD (Queensland University of Technology), BArch (Other). Professional memberships include AIA, ASA, ISES, CIE (Division 3 Editor), and multiple editorial roles. Research Leadership: HDR Training Coordinator (2019–2021), Deputy Academic Lead (Architecture), and leader of QUT's Design Lab 'Emerging Technologies' program. She chairs CIE Division 3 (Interior Environment & Lighting Design) and represents Australia in IEA Task 61. Awards & Recognition: 2020 Johnson & Johnson Scholar; 2003 Asian Innovation Award (Bronze); Division Editor roles; and leadership in global architectural science initiatives. Supervision & Grants: Advised over 100 postgraduate students and led projects like 'Designing Healthy and Efficient Luminous Environments' (LP150100179). Current supervision includes lighting design strategies for healthcare staff wellbeing. Labs/Teams: Core member of QUT's Design Lab, focusing on emerging technologies and interdisciplinary architectural science research.

• Bioinformatics
• Computational Biology
• Machine Learning
• +۵ مورد دیگر

Zafer AYDIN is an Associate Professor at the Computer Engineering Department of Abdullah Gul University. He obtained his B.Sc. and M.Sc. from Bilkent University (Turkey) and his Ph.D. from Georgia Institute of Technology (USA). His research focuses on machine learning applications in bioinformatics, health informatics, and industrial problems. PhD: Georgia Institute of Technology (2008) Postdoc: University of Washington (2008-2011) Previous: Assistant Professor at Bahcesehir University (2011-2014) Research Interests include protein structure prediction, medical imaging analysis, network security, and financial data modeling. His work spans both fundamental bioinformatics research and practical industrial applications. Scientific Awards : 2nd in T0 phase of Respiratory Viral Dream Challenge (2016-2017) 1st in both question 1 and 2 prediction tasks of COVID-19 DREAM Challenge (2020-2021) Teaching includes undergraduate courses in Bioinformatics, Machine Learning, and Algorithms, and graduate courses in Deep Learning and Pattern Recognition.

• Emergency Medicine
• Global Health
• Public Health Policy
• +۳ مورد دیگر

Dr. Sharon Anoush Chekijian is an Associate Professor of Emergency Medicine at Yale School of Medicine, where she holds multiple leadership roles including Medical Director of Patient Experience and Medical Director of the PA/NP Post-graduate Training Program. Her research focuses on global emergency care systems, particularly in low- and middle-income countries like Armenia, Uganda, and Iraq, with a focus on injury prevention, stroke/cardiac care, and emergency medicine education. She has consulted for the World Bank and U.S. Department of State, and received a Fulbright Scholar award (2019) for her work in Armenian healthcare system development. Educations: MD: Yale University School of Medicine (2001) Residency: Yale-New Haven Hospital (2007) MPH: Yale University, Health Policy and Administration (2011) Research Interests: Her work emphasizes global health equity, emergency care system strengthening, and patient experience improvement. She has led projects in Armenia to establish emergency medicine residency programs and improve stroke protocols. Her recent studies address workforce attrition among non-physician practitioners and the impact of hybrid warfare on public health. Awards: Fulbright Scholar (2019) Presidential Momentum Award (2022) Catalyst Award (2023) Leonard Tow Humanism in Medicine Award (2023) Grants & Advising: As Medical Director of the PA/NP program, she has trained over 100 advanced practice providers. Her grants focus on global health partnerships and patient experience metrics. She chairs the Patient Experience Forum, driving initiatives to enhance compassionate care delivery. Labs/Teams: Active in the Yale Institute for Global Health and the Division of Global Health and International Emergency Medicine, she collaborates with organizations like SIATA (Stroke Initiative Advisory Task-Force for Armenia) to advance regional healthcare initiatives.

• Computer Vision
• Machine Learning
• Image Processing
• +۴ مورد دیگر

Adjunct Professor Shuai Wan is affiliated with the School of Engineering at RMIT University (City Campus, Australia). His research focuses on computer vision, machine learning, 3D point cloud compression, neural video coding, and remote sensing . Key contributions include lightweight deep learning frameworks for image/video compression, spatio-temporal context models for point clouds, and adaptive quantization techniques. Research Outputs Insights : Wan’s work spans 2024–2025 , emphasizing end-to-end deep learning solutions for challenges in Exemplar-based colorization with semantic attention Rendering-oriented 3D point cloud compression Slimmable video codecs with variable bitrate G-PCC standard enhancements for quantization and entropy coding Adversarial example detection in remote sensing Technical Domains : His articles intersect artificial intelligence, signal processing, and computer graphics , with applications in cloud gaming, SAR systems, and industrial data compression. Methods include transformers, attention networks, and 3D convolutional architectures .

Yiqiong Liمشاهده پروفایل

دانشیار

• Workplace Bullying Prevention
• Organizational Behavior
• Human Resource Management
• +۷ مورد دیگر

Associate Professor Yiqiong Li is affiliated with the School of Business at the University of Queensland. Her research focuses on workplace bullying prevention, organizational climate, leadership, job design, and employee well-being. She collaborates closely with organizations, unions, and safety bodies to translate research into actionable strategies for improving workplace health and safety, particularly in healthcare, hospitality, and education sectors. Yiqiong’s work emphasizes the impact of organizational and job factors on employee well-being, advocating for systemic changes to prevent bullying and enhance overall employee health. Her research has informed practical resources and workplace practices promoting systemic improvements. Notable collaborations include partnerships with peak health and safety organizations. Her publications span organizational behavior, HRM, and workplace psychology, with a focus on bullying prevention, leadership dynamics, and job redesign. Recent articles address topics such as customer aggression, mindfulness in the workplace, and green HRM strategies. Awards and grants are not explicitly detailed in the provided text, but her research has driven impactful policy and practice changes in workplaces globally.

• Safety Analysis of Autonomous Systems
• Multi-Agent Systems
• Hazard Analysis Simulation
• +۳ مورد دیگر

Rob Alexander is a Senior Lecturer in the Department of Computer Science at the University of York. He holds a BSc from Keele University (2001) and a PhD in Computer Science from the University of York (2008). His research focuses on safety analysis and testing of autonomous robots and multi-agent systems, including simulation methods for hazard analysis and empirical evaluation of safety engineering techniques. He is part of the High Integrity Systems research group. Key research interests include situation coverage-based safety analysis, autonomous systems verification, and safety assurance methodologies. His work spans robotics, autonomous vehicles, and safety-critical systems, with applications in mine environments, healthcare, and transportation. Recent publications emphasize rigorous testing frameworks, risk assessment in complex systems, and bridging theoretical and practical safety engineering challenges. No scientific awards or grants are explicitly listed. He serves as a Union Rep within the department and is involved in academic leadership roles. His research group collaborates on projects such as SCALOFT and SASSI, focusing on safety assurance in autonomous systems.

Dimitris Chrysostomouمشاهده پروفایل

دانشیار

• Robotics
• Computer Vision
• Human-Robot Interaction
• +۴ مورد دیگر

Dimitris Chrysostomou is an Associate Professor in the Department of Materials and Production at Aalborg University, Denmark. He leads the Robotics & Automation Group and directs the AI:Cybernetics Lab. His work focuses on developing safe, intuitive robotic systems for industrial and social contexts, emphasizing human-robot interaction (HRI), AI ethics, and collaborative robotics. Chrysostomou has over 15 years of research experience, funded by EU frameworks and national grants, with over 70 peer-reviewed publications. Education: PhD in Robot Vision (2013) and Diploma in Production Engineering (2006) from Democritus University of Thrace. He coordinates courses in robotics and manufacturing technology, emphasizing problem-based learning models. Administrative roles include heading the Robotics and Automation Group and the Aalborg Robotics Challenge steering committee. Research interests span AI-driven robotics, ethical implications of robot behavior, and HRI evaluation methodologies. Key projects include SAPIENT (2025-2027) for robotic intelligence and RIACT (2024-2025) on collaborative robot technology. Editor-in-Chief of *Industrial Robot* journal, IEEE Senior Member, and leader in euRobotics standardization initiatives. Notable contributions include virtual assistants for industrial robots, trust evaluation frameworks in HRI, and energy-based approaches for collaborative robotics. Active in conference organization, editorial roles, and industry collaborations, including co-founding AI startups.

Yan Yanمشاهده پروفایل

استادیار

• Bioinformatics
• Machine Learning
• Big Data Analysis
• +۷ مورد دیگر

Yan Yan is an Assistant Professor at the School of Computer Science, University of Guelph. His research focuses on bioinformatics, multi-omics analysis, and AI-driven computational models for understanding biological processes. His lab develops algorithms for genome-wide association studies, single-cell RNA-seq analysis, and de novo peptide sequencing, with applications in plant genomics and digital agriculture. Education : Not explicitly stated, but his publications suggest advanced training in bioinformatics and computational biology. Research Interests : Bioinformatics, Machine Learning, Big Data Analysis, Statistical Association, and AI applications in agriculture. His work integrates artificial intelligence with omics data to uncover disease mechanisms and improve agricultural practices. Recent trends in his publications emphasize robotics, structural health monitoring, and environmental sensing using hybrid neural networks and deep learning techniques. Grants & Awards : No awards explicitly listed, but his prolific publication record indicates sustained research activity. Advising & Labs : Advises students like B S Puliparambil and J Tomal. His lab actively collaborates on projects involving AI in agriculture, robotics, and structural engineering. Current initiatives include digital twins for human-robot collaboration and precision livestock monitoring systems. Labs/Teams : Leads a computational biology and AI lab focusing on multi-omics integration and smart agriculture solutions.

• Information Retrieval
• Computational Linguistics
• Knowledge Graphs
• +۵ مورد دیگر

Pei-Chi Lo serves as Assistant Professor in the Department of Information Management at National Sun Yat-sen University (NSYSU), Taiwan, where she leads research at the intersection of information retrieval, computational linguistics, and user profiling. Her work leverages knowledge graphs and large language models to advance contextual understanding systems and social media analysis. Education: PhD in Computer Science, Singapore Management University (supervised by Prof. Ee-Peng Lim) Research Focus: Dr. Lo pioneers knowledge-based information retrieval systems including contextual path generation and knowledge graph reasoning. Her computational linguistics work spans task-specific language models, Singlish (English Creole) processing, and LLM-based knowledge extraction. User profiling research examines behavior-based modeling, adaptive crowdsourcing, and social media personality analysis through community-specific language features. Publication Trends: Her 14 publications (2017-2025) reveal evolving expertise from foundational knowledge graph embeddings to contemporary LLM integration. Recent work (2023-2025) emphasizes causal reasoning with LLMs, judicial document analysis, and temporal knowledge discovery, while maintaining core strengths in contextual retrieval and low-resource language processing. Academic Leadership: Dr. Lo advises 8 Master's students across 2024-2025 cohorts and supervises undergraduate research teams. She has secured multiple competitive grants including NSTC projects on LLM-based causal reasoning (2025-2027) and temporal knowledge discovery (2024-2026), plus institutional funding for sustainable e-commerce and elderly care technology initiatives. Laboratory: Her NSYSU research lab actively recruits students for projects spanning judicial reasoning analysis, personalized travel planning systems, and Singlish processing tools, maintaining strong industry and community engagement through practical NLP applications.

Barry Gledsonمشاهده پروفایل

دانشیار

• Construction Project Management
• Digital Innovations in Construction
• Building Information Modelling (BIM)
• +۴ مورد دیگر

Dr Barry Gledson is an Associate Professor of Construction Project Management at Northumbria University's Architecture and Built Environment Department. He has over a decade of industry experience in project management roles across the UK and Washington DC, managing projects worth £6M–£45M in sectors like residential, commercial, and healthcare facilities. His research focuses on digital innovations (e.g., 4D BIM), sustainable construction practices, and organizational learning from project experiences. Education: PhD in Innovation Diffusion Within the UK Construction Sector (Northumbria University, 2017) BSc (Hons) in Construction Management (1998) Additional qualifications: PGCert in Education, NVQ Level 4 in Construction Management, and a Certificate in Statistics Research Interests: Digital transformation in construction, BIM adoption, project planning efficiency, and sustainability. His work aligns with UN SDGs related to sustainable infrastructure and education. Professional Affiliations: Chartered Construction Manager (MCIOB) Full Member of the Association for Project Management (MAPM) Senior Fellow of the Higher Education Academy (SFHEA) BIM Academic Forum (BAF) member Awards & Recognitions: Best Paper Contribution to the Built Environment (2015) BIM Award (2016) Build London Live 2012 'Best Multi-disciplinary BIM' (2012) Build Qatar Live 2012 'Overall Winner' (2012) Grants & Projects: Led the Innovate UK-funded 'Digital Design Management' project (2019–2021), developing collaborative tools for construction productivity. Labs/Teams: Actively contributes to Northumbria University's research groups focusing on construction innovation and digital transformation initiatives.

Stella Vosniadouمشاهده پروفایل

استاد

• Cognitive Development
• Conceptual Change
• Science Education
• +۳ مورد دیگر

Stella Vosniadou is Professor of Education in the College of Education, Psychology and Social Work at Flinders University. She previously served as Professor of Cognitive Psychology at the University of Athens and Senior Research Associate at the Center for the Study of Reading, University of Illinois. She holds a PhD in Psychology from Clark University, MA from Columbia University, and BA from Brandeis University. Her research examines cognitive development, conceptual change in science and mathematics, metacognition, executive function skills, and self-regulated learning. She develops classroom interventions promoting independent learning through improved teacher practices. Recent publications focus on self-regulated learning frameworks, cognitive engagement in lesson design, and classroom observation methodologies. Her work consistently demonstrates how instructional strategies can transform learning environments. Awards and honors include: Distinguished International Contributions to Child Development Research Award (2011) Fellow of the Cognitive Science Society Fellow of the American Educational Research Association Member of Academia Europaea and Cyprus Academy of Sciences She leads professional development programs collaborating with Australian Science and Mathematics School and Adelaide-area schools, enhancing teacher training in self-regulated learning techniques.

Martin Artzمشاهده پروفایل

استاد

• Management Accounting
• Performance Management
• Strategic Planning
• +۳ مورد دیگر

Professor Martin Artz is a Full Professor of Management Accounting & Control at the University of Münster’s School of Business and Economics. He holds adjunct roles at the Frankfurt School of Finance & Management and the Mannheim Business School. His research focuses on goal setting, performance measurement, and organizational design, with notable contributions to Journal of Marketing , The Accounting Review , and Journal of Management Accounting Research . He has received awards such as the Péter Horváth Management Accounting Award (2010) and the 2024 Teaching Award for Outstanding Commitment. Professor Artz also serves on editorial boards of leading journals and co-founded zielnavigator.com, a strategy implementation software solution. Roles: Academic Director of Executive MBA Programs at Centrum für Unternehmensrechnung (CUR), Adjunct Faculty at Mannheim Business School Education: PhD in Business Administration (2010) and Diploma (M.Sc. equivalent) from University of Mannheim His research emphasizes practical applications, such as analyzing sales executive target adjustments and the impact of performance metrics on marketing strategy. Recent work explores OKRs in SMEs and transparency effects in managerial decision-making. He advises companies on performance management systems and has over 15 years of experience in executive education.