جست‌وجوی استاد و پژوهشگر

Djordje Zikelicمشاهده پروفایل

استادیار

• Formal Methods
• Trustworthy AI
• Program Analysis and Verification
• +۶ مورد دیگر

Djordje Zikelic is an Assistant Professor of Computer Science at Singapore Management University's School of Computing and Information Systems. He holds a PhD from the Institute of Science and Technology Austria (ISTA), where he was advised by Krishnendu Chatterjee and Petr Novotný. His research focuses on formal methods for ensuring correctness, safety, and trustworthiness of software and AI systems, with an emphasis on probabilistic systems, program verification, and safe autonomy. He has received awards including the Outstanding PhD Thesis and Outstanding Scientific Achievement awards from ISTA. Education: PhD in Computer Science, ISTA (2023) Bachelor's and Master's in Mathematics, University of Cambridge Research Interests: Formal verification of probabilistic systems Trustworthy AI and neural network certification Runtime monitoring and control synthesis Blockchain protocol analysis Teaching: CS423: Heuristic Search and Optimization (Spring 2025/2024) His recent work includes advancements in supermartingale-based verification, neural controller certification, and automated analysis of blockchain systems. He serves on program committees for top conferences like AAAI, CAV, and IJCAI and actively mentors students in PhD, internship, and visiting roles.

• Developmental Psychology
• Aggressive Behavior in Children
• Bullying Prevention
• +۵ مورد دیگر

Professor Claire Monks is a Professor of Developmental Psychology and Deputy Head of the Institute for Lifecourse Development (ILD) at the University of Greenwich. She also serves as Centre Lead for the Centre for Vulnerable Children, Young People and Families within ILD. Her academic journey includes roles such as Interim Director of Research and Enterprise (2019), Reader in Developmental Psychology (2014–2019), and Programme Leader for MPhil/PhD Psychology (2010–2017). She has supervised 10 doctoral students to completion. Professor Monks holds a PhD, MSc, BSc(Hons), and PGCert. Her research focuses on developmental psychology, particularly aggressive behavior in children and adolescents, bullying dynamics, cyberbullying, and prevention strategies. She collaborates internationally, publishing with researchers in Europe, Asia, and South America. Key interests include peer relationships, child abuse prevention, and educational interventions. Her recent work emphasizes systemic approaches to bullying, such as analyzing teachers’ responses to identity-based bullying and the emotional impacts of cyberbullying. She has contributed to large-scale studies on child maltreatment prevalence and safeguarding procedures. Notable collaborations include evaluations of the NSPCC’s Speak Out Stay Safe programme and development of abuse prevention programs for young children. Professor Monks’ publications span bullying prevention, peer victimization, and cross-cultural studies of aggression. She advocates for integrating friendship education into pastoral curricula and emphasizes early intervention in violence prevention. Her work bridges academic research with practical applications in schools and healthcare systems.

Manimuthu Arunmozhiمشاهده پروفایل

مدرس

• Cybersecurity
• Artificial Intelligence
• Supply Chain Management
• +۹ مورد دیگر

Dr. Manimuthu Arunmozhi is a Lecturer (Assistant Professor) in Cybersecurity and Business Analytics at Aston Business School, part of Aston University's College of Business and Social Sciences. He is a core member of the Cyber Security Innovation Research Centre and an associate member of the Aston Centre for Artificial Intelligence Research and Application (ACAIRA). His research focuses on cybersecurity, artificial intelligence, sustainable operations, blockchain, and autonomous systems. He holds a PhD in Electrical Engineering and has extensive industry experience, including roles at Nanyang Technological University (NTU) Singapore and the Singapore University of Technology and Design. Education: Ph.D. in Electrical Engineering M.Eng. in Embedded and Real-time Systems B.Eng. in Electrical and Electronics Engineering Research Interests: Machine Learning in Supply Chain AI-driven Automation and Control Cyber-Physical Systems Security Blockchain Applications Autonomous Vehicle Threat Analysis Sustainable Operations and Energy Management Recent Projects: Q-SAFE: Quantum-secure messaging and file-sharing application funded by Innovate UK. Digital Financial Inclusion: Enhancing rural access via feature phones with SureCash. Peer-to-Peer Lending Platform: Risk assessment algorithms with MoneyTable. Awards: GATE Scholarship (2013-2015) Robert Bosch Innovation Award (2013-2014) Teaching: Courses include Big Data Analytics, Network Security, SQL, and Human Compliance Management. He is also an Adjunct Professor at the University of La Sabana, Colombia. Labs/Teams: Active in the Cyber Security Innovation (CSI) Research Centre and collaborates with industry partners like BMW and DESAY Automotive.

Chantal Francoisمشاهده پروفایل

دانشیار

• Adolescent Literacy
• Urban Education
• School Leadership
• +۳ مورد دیگر

Chantal Francois is an Associate Professor in the Department of Instructional Leadership and Professional Development at Towson University’s College of Education. Her work focuses on literacy and school leadership, particularly in urban educational contexts. She holds an Ed.D. from Harvard Graduate School of Education and has extensive experience in New York City public schools as both an English teacher and school leader. Her research employs qualitative methods to challenge dominant narratives around adolescent literacy, emphasizing the experiences of Black and Latinx youth. Dr. Francois’ research highlights how urban schools can foster literacy through community-focused approaches, including culturally relevant pedagogy and identity-affirming strategies. Her recent work addresses pandemic-era leadership challenges, exploring how principals create psychologically safe environments during crises. She co-authored Catching Up on Conventions: Grammar Lessons for Middle School Writers and contributes to journals like Harvard Educational Review and Teachers College Record . Awards: Jeanne S. Chall Doctoral Research Award (Harvard), National Academy of Education Fellowship Professional Affiliations: American Educational Research Association, Literacy Research Association Her advising and grant activities are not explicitly detailed in available records, but her consulting work with schools nationwide reflects a commitment to bridging research and practice. She advocates for equity-centered leadership models in education, emphasizing internal accountability systems over external mandates.

Heather Boumanمشاهده پروفایل

استاد

• Biogeochemistry
• Marine Biology
• Climate Change
• +۳ مورد دیگر

Heather Bouman is a Professor of Biogeochemistry at the University of Oxford, affiliated with St John's College. Her research focuses on understanding marine biogeochemical processes, particularly the biological carbon pump, phytoplankton ecology, and ocean carbon dynamics. She leads projects investigating the impacts of climate change on marine ecosystems and the feasibility of CO₂ storage in shelf seas. Her work integrates field observations, remote sensing, and advanced techniques like fluoro-electrochemistry to classify phytoplankton and assess biogeochemical cycles. Recent studies include analyzing geographical variability in carbon transfer efficiency and evaluating stakeholder perspectives on safe CO₂ storage practices. Bouman collaborates with international teams to develop innovative sensors and AI tools for marine monitoring, emphasizing interdisciplinary approaches to address global environmental challenges. Her research has contributed to policy-relevant insights on carbon sequestration and ocean health in regions like the Arctic, Barents Sea, and South Atlantic.

Julie E McAdamمشاهده پروفایل

مدرس ارشد

• Children's Literature
• Multicultural Education
• TESOL
• +۵ مورد دیگر

Dr Julie E McAdam is a Senior Lecturer in Language and Literacies at the University of Glasgow’s School of Education. Her work focuses on children’s literature as a tool for fostering inclusive education, intercultural understanding, and social change. She has led initiatives such as the Children’s Literature in Critical Contexts of Displacement project, exploring how stories and arts-based practices create safe spaces for displaced children. McAdam is also a co-investigator on the AHRC-funded CUSP Network Plus , addressing sustainable peace through cultural interventions. Education: Background in Education and Literacy Studies (specific qualifications not detailed here). Affiliations: Member of the Scottish Educational Research Association (SERA) Executive Committee Editorial Board Member of Children’s Literature in English Language Education Journal Research Interests: McAdam’s research bridges children’s literature, migration, and pedagogy. She examines how visual narratives and multicultural texts empower marginalized communities, particularly through projects like Visual Journeys and Journeys from Images to Words . Her work emphasizes storytelling as a means to disrupt negative discourses and promote empathy. Grants & Awards: Recipient of the Edward B. Fry Literacy Award (2015) for Visual Journeys through Wordless Narratives PI on projects such as Children’s Literature and International Safe Spaces (2018) and Arabic Picturebooks (2017) Teaching & Mentorship: Convenes courses like Reframing Literacy for the 21st Century and Texts for Diversity , emphasizing practical, community-engaged assessments. Supervises PhD students exploring themes like bilingual learning, LGBTQ+ representation in literature, and refugee education. Labs/Teams: Collaborates with NGOs like Oxfam Italia and the European Commission on projects such as Portfolio of Integration , aiming to strengthen literacy and cultural mediation practices worldwide.

Zyra Evangelistaمشاهده پروفایل

پژوهشگر

• LGBT+ inclusion in Higher Education
• Anti-LGBT+ prejudice
• Campus climate studies
• +۳ مورد دیگر

Dr. Zyra Evangelista is a Researcher at the University of Glasgow's School of Education, focusing on LGBT+ inclusion in higher education. Their PhD work, supported by the Newton Fund, examined campus climates for LGBT+ students in the UK and Philippines. They hold a master's and doctorate from the University of Glasgow. Education: PhD in Psychology (University of Glasgow, 2022) Master's in Psychology (University of Glasgow) Bachelor's (De La Salle University, Manila) Research Interests: Zyra's work addresses anti-LGBT+ prejudice, campus climate improvement, and culturally sensitive research methodologies. Key themes include intersectionality in higher education, policy development for marginalized groups, and decolonizing research practices. Recent projects explore STEM student wellbeing and global collaborations on LGBTQ+ inclusion in Vietnam through a British Council-funded initiative. Publications Trends: Their 2022-2025 work highlights cross-national comparisons of LGBTQ+ experiences, methodological innovations in education research, and systemic barriers faced by marginalized students. Collaborations span UK-India STEM comparisons to Southeast Asian faith community studies. Awards: 2022 Padova University Prize for Gender Identity Research Finalist: 2022 Glasgow 3MT Competition Highly Commended: 2020 PsyPAG Rising Researcher Award Grants & Teaching: Supervised 7 MSc dissertations (2022-2023) on LGBTQ+ mental health and allyship. Received £24,852 British Council funding for Vietnam research. Taught psychology courses at De La Salle University (2014-2017). Labs & Engagement: Currently Book Review Editor for Psychology of Sexualities Review. Served on British Psychological Society committees (2020-2022). Community roles include NHS LGBT+ advocacy and leadership in Rainbow Glasgaroos LGBTQ+ basketball group.

Gnanathusharan Rajendranمشاهده پروفایل

استاد

• Developmental Psychology
• Human-Robot Interaction
• Cognitive Modeling
• +۶ مورد دیگر

Gnanathusharan Rajendran is a Professor in the Department of Psychology at Heriot-Watt University , School of Social Sciences. His research explores how digital technologies shape social, emotional, and cognitive development in both typical and atypical populations, with a focus on autism. He integrates developmental theories into cognitive and socially assistive robotics, particularly around trust in human-robot interaction and cognitive modeling for rehabilitation. Education: BSc & MSc in Psychology (University of Birmingham), PhD in Developmental Psychology (University of Nottingham) Current Affiliation: Leads the Developmental Psychology in Action Lab , collaborating with the Edinburgh Centre for Robotics and National Robotarium Research Themes: STEAM education, sport science, outdoor education, and reproducibility via the Open Science Framework Key Networks: Safe and Secure AI for Robotics, Human-Robot Interaction (HRI) themes, Digital Education partnerships Rajendran’s recent publications focus on trust dynamics in robotics, mental health in autistic adults, and STEM outreach for children. His work aligns with UN Sustainable Development Goals (SDGs) related to quality education and reduced inequalities. He serves on editorial boards and participates in invited talks globally.

• Risk management
• Systemic risk
• Value-at-Risk (VaR)
• +۶ مورد دیگر

Christophe Pérignon is a Professor and Associate Dean for Research at HEC Paris, a leading business school in France. He is affiliated with the Finance Department and has established himself as a prominent scholar in financial risk management, systemic risk, and computational reproducibility in finance. His work bridges academic research with practical applications in banking regulation and risk management. His research spans several critical areas in modern finance: Advanced risk management methodologies, particularly Value-at-Risk (VaR) modeling and validation Systemic risk measurement and financial regulation frameworks Computational reproducibility in financial research through multi-analyst studies Machine learning applications in banking and credit scoring Ethical considerations in algorithmic finance Professor Pérignon's recent work demonstrates a significant shift toward examining the reproducibility crisis in financial research and the integration of machine learning techniques into traditional risk management frameworks. His influential paper "Nonstandard Errors" in the Journal of Finance (2024) examines how different research teams approach the same financial questions, highlighting methodological challenges in the field. He has also pioneered tools like "The Risk Map" for validating risk models, which has practical applications for financial institutions. His scholarly impact is substantial, with over 38 published papers that have collectively received more than 50,000 downloads and 499 citations on SSRN, placing him among the top researchers in finance. His collaborative work spans multiple international institutions, reflecting the global nature of financial research and regulation. As Associate Dean for Research at HEC Paris, Professor Pérignon plays a key leadership role in shaping the research agenda of one of Europe's premier business schools. His work continues to influence both academic discourse and practical risk management approaches in the financial industry worldwide.

David Mguniمشاهده پروفایل

مدرس

• Multi-Agent Systems
• Reinforcement Learning
• Game Theory
• +۳ مورد دیگر

Dr. David Mguni is a Lecturer in Computer Science at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science. His research focuses on multi-agent systems, reinforcement learning, game theory, and decision-making under uncertainty. He holds a PhD in applied mathematics from University College London and prior degrees from the University of Cambridge and the University of London. Before academia, he was a Principal Scientist at Huawei, leading the Multi-Agent Systems team in London. His work bridges theoretical foundations with practical applications, particularly in strategic decision-making and autonomous systems. He teaches the ECS656U/ECS796P Distributed Systems course and supervises students in reinforcement learning, game theory, and optimization. Research interests include non-zero-sum game frameworks, safe reinforcement learning (e.g., SAUTE RL), and reward shaping techniques. His publications span venues like AAMAS, NeurIPS, and IJCAI, addressing challenges in multi-agent coordination, adversarial environments, and algorithmic efficiency. Collaborations involve designing scalable methods for large systems and integrating language models into decision-making processes. David is part of Queen Mary’s Centre for Multimodal AI, contributing to projects on socially-attentive policies, risk-aware systems, and distributed optimization. His recent work emphasizes safety in multi-agent learning (e.g., SAUTE RL), variance reduction in estimator models, and frameworks for managing adversarial scenarios. He actively seeks PhD candidates to explore reinforcement learning and game-theoretic applications.

Cameron Goslingمشاهده پروفایل

مدرس ارشد

• Injury Epidemiology
• Paramedic Education
• Trauma Response
• +۳ مورد دیگر

Cameron Gosling is a Senior Lecturer and Higher Degrees Research Coordinator in the Department of Paramedicine at Monash University, Australia. He has held academic roles since 2016, with prior experience as a Research Fellow in Epidemiology and Physiotherapy. His research focuses on injury epidemiology, paramedic education safety, and traumatic injury analysis, integrating both quantitative and qualitative methodologies. Key collaborations span international studies on paramedic systems and Saudi healthcare challenges. He leads projects such as the 'Development of Co-designed Digital Exemplars to Enhance Health Profession Readiness for Safe and Effective Care of People with Disability' and has contributed to aggression management training modules for health students. Research interests include paramedic system performance frameworks, cross-cultural healthcare challenges, and trauma response strategies. Recipient of multiple awards including Dean's Excellence Awards for Education and Team Academic Excellence. Active in curriculum development, particularly clinical reasoning assessments and self-directed learning models. His work aligns with UN Sustainable Development Goals related to health equity and quality education. Recent publications emphasize mental health resilience among paramedics and system performance metrics in prehospital care.

• Digital Twin Technology
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Adil Rasheed is a Professor in the Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU), within the Faculty of Information Technology and Electrical Engineering. His research focuses on digital twin technology, artificial intelligence (AI), machine learning (ML), physics-based modeling, and hybrid analysis methodologies. He leads projects such as the work package on Digital Twin and Asset Management, collaborating with major industry partners to advance digital twin capabilities. His interdisciplinary work bridges AI-driven approaches with traditional physics-based models for applications in wind energy, autonomous vessels, smart greenhouses, and aquaculture. Notable contributions include developing a VR-enabled smart greenhouse digital twin and the PoroTwin framework for porous media flow analysis. His recent publications span topics like safe marine navigation using reinforcement learning, federated learning for industrial IoT anomaly detection, and predictive maintenance in offshore wind turbines. Rasheed actively engages in academic outreach and serves as an advisor to research initiatives in hybrid modeling and autonomous systems. Research Interests Creation and application of digital twins for physical systems optimization Integration of AI/ML with physics-based models for hybrid systems Autonomous systems navigation and safety (vessels, drones) Wind energy systems and offshore renewable energy Condition monitoring and predictive maintenance Data-driven solutions for aquaculture and urban mobility challenges Key Projects Smart Greenhouse: AI-driven digital twin for autonomous plant growth monitoring via VR PoroTwin: Digital twin for porous media flow analysis in oil and gas Hybrid Analysis and Modeling (HAM) framework combining knowledge-based and data-driven methods NorthWind Project: Digital twin advancements for wind energy systems Publications Trends Rasheed's recent work emphasizes digital twin applications in energy systems (wind turbines), autonomous maritime navigation, and industrial IoT security. He explores federated learning techniques for decentralized anomaly detection and integrates reinforcement learning for safety-critical control systems. Collaborations with industry partners highlight practical implementations in offshore infrastructure, aquaculture, and urban mobility. Grants & Partnerships Active collaborations with industry leaders in renewable energy, maritime robotics, and smart agriculture ensure his research addresses real-world challenges. His work is supported by interdisciplinary projects combining academia-industry expertise. Labs & Teams Leads the Digital Twin and Asset Management team at NTNU, coordinating with research groups in computational engineering, autonomous systems, and renewable energy technology.

• Intelligent monitoring and maintenance of civil infrastructure
• Optimum asset maintenance and management
• Structural reliability analysis and safe life prediction of structures and infrastructure
• +۴ مورد دیگر

Dr. Mojtaba Mahmoodian is a Senior Lecturer in Civil and Infrastructure Engineering at RMIT University's School of Engineering, City Campus, Australia. He is a Chartered Engineer in both Civil Engineering and Asset Management with Engineers Australia. His work spans diverse infrastructure types including bridges, pipelines, railways, buildings, ports, and offshore platforms. Dr. Mahmoodian's research focuses on intelligent monitoring and maintenance of civil infrastructure, optimum asset maintenance and management, structural reliability analysis and safe life prediction of structures, and deterioration modeling of structures and infrastructures. His work integrates advanced technologies including digital twins, artificial intelligence, and machine learning to enhance infrastructure monitoring and management systems. He has developed innovative approaches for corrosion modeling, structural health monitoring, and real-time structural integrity assessment. His recent publications demonstrate a strong trend toward the integration of digital twin technology with artificial intelligence for infrastructure monitoring. The research spans civil infrastructure domains including bridges, railways, ports, and pipelines, with emphasis on real-time monitoring, predictive maintenance, and optimal sensor placement. His work shows increasing sophistication in applying machine learning techniques to accelerate finite element analysis and improve structural assessment accuracy. RMIT Vice-Chancellor's Award for Outstanding Contributions in Learning and Teaching (2019) Chartered Engineer in Civil Engineering and Asset Management (2019) Chair of special sessions at major international bridge conferences (IABMAS 2018, 2020) Conference chair for ICWSS 2017: International Conference on Water Supply Systems Kharazmi Festival Award for innovation in concrete testing (2004) Dr. Mahmoodian actively supervises Masters and PhD research students, with current projects focusing on AI-enabled health monitoring of bridge structures through digital twin technology, computer vision for damage detection, automatic condition assessments of civil infrastructure, and intelligent monitoring and maintenance systems. His research has significant practical applications for infrastructure asset management and maintenance optimization. His work involves collaboration with various research teams focusing on structural health monitoring, digital twin development, and AI applications in civil engineering. These teams work on developing innovative monitoring systems that integrate sensor networks, data analytics, and visualization tools to provide comprehensive infrastructure assessment capabilities.

Johanna Macneilمشاهده پروفایل

استاد

• Industrial Relations
• Human Resources Management
• Psychosocial Hazards
• +۵ مورد دیگر

Johanna Macneil is an Academic Director, Engagement for Social Impact at RMIT University's College of Business and Law, appointed in 2023. She also holds the rank of Professor of People, Organisation, and Work. Her academic leadership spans over 25 years, focusing on industrial relations and fostering cooperation between workers and employers. She previously served as Dean of the School of Management (2020–2022) and held senior roles at the University of Newcastle, including Assistant Dean for Learning and Teaching (2015–2020) and Professor of Employment Relations (2017–2020). Her research addresses psychosocial hazards, workplace equity, and the role of tribunals in fair work practices. Notable projects include collaborations with Safe Work Australia, the Fair Work Ombudsman, and international comparative studies on industrial tribunals. She has also advised public and private sector organizations on labour relations globally. Education: Ph.D., Business and Management, University of Melbourne (2000–2006) Research Interests: Industrial relations, comparative labour law, psychosocial hazards, workplace sexual harassment, unions, and cooperative workplace practices. Her work emphasizes practical applications, such as reducing workplace hazards and improving gender equality through organizational learning. Awards and Recognition: Australian Universities Teaching Excellence Award (2014) Citation for Outstanding Contribution to Student Learning (2011) Leadership roles in professional bodies like AIRAANZ and PRME Engagement and Impact: Advised on workplace reforms in Botswana and contributed to the WorkSafe Victoria Workwell Program. Her work aligns with UN SDGs 5 (Gender Equality), 8 (Decent Work), and 16 (Peace and Justice). She champions reconciliation efforts through Indigenous advisory roles at RMIT. Teaching: Designed courses in employment relations, HRM, and organizational change at Monash, Deakin, and Newcastle Universities. Known for bridging theory and practice in industry-engaged education.

Daniel A. Hashimotoمشاهده پروفایل

استادیار

• Artificial Intelligence in Surgery
• Surgical Data Science
• Medical Education Assessment
• +۴ مورد دیگر

Daniel A. Hashimoto is an Assistant Professor in the Department of Surgery at the University of Pennsylvania and Director of the Penn Computer Assisted Surgery and Outcomes (PCASO) Laboratory. His work integrates artificial intelligence (AI), data science, and surgical education to improve patient outcomes and surgical training. The PCASO Lab focuses on translating AI innovations into clinical practice, including surgical decision support, technique optimization, and outcome prediction. Key research areas include surgical video analysis, AI-driven feedback systems, and interdisciplinary collaboration between clinicians and engineers. Notable projects involve automated surgical phase recognition, generative AI impact on healthcare equity, and privacy-preserving federated learning frameworks. Received the Linda Pechenik Montague Investigator Award (2024) Active in multi-institutional collaborations, including the Metrics Reloaded consortium Hosted at University College Dublin's Mater Misericordiae University Hospital (2024) Mentors students like Vivek Singh and Shubha Vasisht in surgical AI research His educational contributions include developing simulation-based training tools (e.g., LapBot-Safe chole mobile app) and frameworks for standardized surgical skill assessment. He advocates for ethical AI adoption in surgery and global healthcare equity through algorithmic transparency.