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Associate Professor Aditi Dey holds a conjoint appointment at the Sydney Medical School within the University of Sydney , and serves as Manager of Surveillance at the National Centre for Immunisation Research and Surveillance (NCIRS) . Her work focuses on immunization program evaluation, vaccine coverage analysis, and surveillance of vaccine-preventable diseases and adverse events. She has extensive experience in public health research, spanning roles in Thailand and India prior to her current positions in Australia. Dr Dey completed an MBBS, followed by postgraduate qualifications including a DTM&H (Tropical Medicine & Hygiene), Grad Dip Applied Science (Health Information Management), MPH, and a PhD from the University of Sydney. Her research integrates epidemiological analysis with public health policy implementation, particularly addressing health disparities in vaccination access and outcomes among Indigenous populations and other underserved groups. Her research interests prominently feature vaccine safety , epidemiological trends of infectious diseases, and the impact of vaccination policies such as Australia’s “No Jab, No Pay” initiative. She also investigates the effectiveness of vaccination programs for diseases like rotavirus, HPV, and varicella-zoster virus, often analyzing large-scale national health datasets. Notable contributions include evaluations of Australia’s HPV vaccination program, analysis of rotavirus vaccine efficacy, and assessments of adverse events following immunization. Her work emphasizes improving immunization coverage through better data systems and healthcare provider education, particularly for at-risk populations. Dr Dey actively contributes to public health efforts through teaching and course coordination at the University of Sydney, and collaborates with institutions like the Sydney Infectious Diseases Institute . Her expertise bridges clinical practice, research, and policy, driving evidence-based improvements in Australia’s immunization landscape.

• Epidemiology
• Public Health
• Child Health
• +5 more

Professor Efthymios Pavlidis is a faculty member in the Department of Economics at Lancaster University Management School (LUMS). He holds the rank of Professor and specializes in macroeconomics, international finance, and time series econometrics. His research focuses on housing market dynamics through collaborations like the International Housing Observatory (with the Federal Reserve Bank of Dallas) and the UK Housing Observatory. He is a Fellow of the Higher Education Academy, reflecting his commitment to academic excellence in teaching and research. His research interests include speculative bubble detection, real estate price forecasting, and testing parity conditions in financial markets. Pavlidis actively supervises PhD students in applied time series econometrics, emphasizing practical applications in financial markets and housing economics. He is involved in numerous academic activities, including organizing conferences and workshops such as the Dynare Conference and the Lancaster Economics Seminar. Key contributions include developing econometric methods for detecting market exuberance and analyzing real exchange rates. His work bridges theoretical econometrics with practical policy implications, particularly in housing and energy markets. Pavlidis collaborates internationally, evidenced by his participation in global academic networks and institutions like the European Economic Association and the Royal Economic Society. His teaching includes the course ECON222 Intermediate Macroeconomics I, and he maintains an office in the Management School (B015), with weekly office hours on Tuesdays. A comprehensive overview of his research and projects is available at his personal webpage: https://sites.google.com/view/etpavlidis/ .

• Macroeconomics
• International Finance
• Time Series Econometrics
• +4 more

Gurjot Singh is a Research Fellow at the Department of Computer and Information Science (IDA) at Linköping University, Sweden. His research focuses on cybersecurity in aviation systems, next-generation communication networks, and industrial IoT security. He collaborates with prominent researchers like Andrei Gurtov and Suleman Khan, contributing to projects such as SEC-AIRSPACE and Post Quantum Secure Handover Mechanisms. His work spans vulnerability assessments, secure protocol design, and post-quantum cryptography applications. Education details are not explicitly stated, but his research aligns with advanced cybersecurity and network engineering domains. Key research interests include aviation cyber risk assessment, secure data link communications, and privacy-preserving authentication mechanisms for IoT and industrial environments. Publications emphasize cybersecurity challenges in aviation, industrial networks, and IoT, with recent work addressing quantum-resistant protocols and drone remote identification security. Collaborations include contributions to conferences like NordSec and AIAA DATC. He is affiliated with the cybersecurity lab at LiU, supporting educational programs like Digital4Business, which integrates AI and cybersecurity expertise. His role in the Database and Information Techniques (ADIT) division highlights involvement in interdisciplinary research groups.

• Cybersecurity
• Aviation Network Security
• Secure Communications
• +3 more

Bruno Castro da Silva is an Assistant Professor in the College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst. He holds a PhD in Computer Science from UMass Amherst (2014), and MSc and BSc degrees from the Federal University of Rio Grande do Sul (UFRGS), Brazil. Prior to UMass, he was an Associate Professor at UFRGS and a postdoctoral researcher at MIT's Aerospace Controls Laboratory. His research focuses on reinforcement learning (RL), robotics, and AI safety, aiming to develop algorithms that ensure safe and autonomous task decomposition while meeting user-specified safety criteria. Key areas include hierarchical policies, active learning, and biologically-plausible mechanisms. He has published in top venues like ICML, NeurIPS, and Science, and received awards such as the Best Paper at RLDM 2022 and Distinguished Reviewer distinctions. He teaches courses in reinforcement learning and machine learning at UMass, emphasizing accessibility and safety. His work also extends to fostering diversity in STEM education. He leads the Autonomous Learning Laboratory and collaborates with organizations like Adobe Research and the Laboratory of Computational Neuroscience in Rome.

• Reinforcement Learning
• Artificial Intelligence
• Robotics
• +3 more

Laura Maruster is an Assistant Professor at the Faculty of Economics and Business, University of Groningen, Netherlands. She holds an MSc from the West University of Timisoara, Romania, and a PhD in Technology Management from Eindhoven University of Technology, Netherlands. Her research focuses on process mining, process modelling, and healthcare networks, with applications in operations research and data science. She collaborates extensively with industry and public sector partners on projects like the Casimir initiative (RuG and Gasunie). Teaching areas include business processes, data mining, and research methodology. Recent work includes studies on healthcare logistics optimization and process mining beyond traditional workflows. Her publications appear in leading journals such as BMJ Open , IEEE Transactions on Engineering Management , and Computers in Industry . Research interests span healthcare networks, emergency medical services analytics, and enterprise process optimization. Notable recent contributions include analyzing interhospital patient transfers and redesigning engineering design processes using data-driven methods.

• Process Mining
• Process Modelling
• Healthcare Networks
• +5 more

David Mann serves as an Associate Professor at Vrije Universiteit Amsterdam in the Faculty of Behavioural and Movement Sciences, with additional appointments at the Institute for Brain and Behavior Amsterdam (IBBA) and Amsterdam Movement Sciences - Sports (AMS). His research focuses on the intersection of vision science, sports performance, and cognitive processes, particularly examining how visual impairments affect athletic performance and everyday functioning. Dr. Mann's research interests center on visual impairment in athletes, gaze behavior during sports performance, visual search patterns, and talent identification. His work spans multiple disciplines including sports psychology, cognitive neuroscience, and adaptive sports, with particular emphasis on how visual field and acuity limitations impact performance in basketball, football, and ball sports. His fingerprint analysis reveals strong expertise in Visual Impairment (100%), Athletes (91%), Visual Acuity (67%), Visual Field (53%), Visual Search (37%), and Gaze Behavior (33%). His recent publications demonstrate a consistent focus on understanding the relationship between visual perception and sports performance. Key research trends include examining quiet eye duration in basketball shooting, the effects of vision loss on naturalistic search, the role of cognitive skills in youth football performance, dynamic anticipation in sports, and how people with vision impairment use gaze to hit balls. These studies employ methodologies including eye tracking, cognitive testing, and performance analysis across various sports contexts. Dr. Mann currently serves as Director of the International Paralympic Committee (IPC) Classification Research and Development Centre for Athletes with Vision Impairment, demonstrating his leadership in this specialized field. He is also active in teaching as Course Coordinator for Talent and Talent Identification. His research portfolio includes an active project titled "Developing sensory-cognitive predictors of everyday functioning with visual impairment" running from January 2023 to December 2025, which he conducts with colleague C. Olivers. Dr. Mann has supervised 6 PhD theses and teaches courses including Master Research Project, Talent and Talent Identification, and Talent Identification and Development.

• Visual Impairment
• Athletes
• Visual Acuity
• +7 more

Muharrem Bayraktar is an Assistant Professor at the MESA+ Institute for Nanotechnology at the University of Twente, specializing in XUV Optics. His research focuses on extreme ultraviolet (EUV) optics, plasma spectroscopy, and adaptive optical systems. He leads projects involving EUV source metrology, piezoelectric thin film actuators, and laser-driven plasma diagnostics. Research Interests: Bayraktar’s work centers on developing advanced EUV light sources for nanolithography applications. He investigates plasma physics in tin-based EUV emitters, optimizing thin film materials for adaptive optics, and improving spectral characterization techniques. His group explores piezoelectric thin films for precision wafer tables and multilayer mirror systems to enhance EUV beam control. Awards: 3rd Place in Simon Stevin Fellow Contest (2016) Best poster award (2018) Best poster award (2019) Advising & Activities: Supervises research on EUV source development and piezoelectric actuators. Engages in international collaborations on plasma diagnostics and adaptive optics. Active in presenting at conferences on topics like ‘EUV Source Metrology’ and ‘Nanolithography Systems’. Labs/Teams: Leads the XUV Optics team within MESA+, collaborating with industry partners on EUV lithography systems and advanced optical components.

• Extreme Ultraviolet Optics
• Laser Physics
• Plasma Spectroscopy
• +3 more

Kevin Carrico is a Senior Lecturer in Chinese Studies at Monash University and Research Director for the School of Languages, Literatures, Cultures and Linguistics. He holds a PhD in Sociocultural Anthropology from Cornell University (2013), focusing on nationalist identification through China's Han Clothing Movement. His research focuses on nationalism theories, ethnic relations in China, Hong Kong politics, and Tibetan history. Notable works include The Great Han: Race, Nationalism, and Tradition in China Today (2017) and Two Systems, Two Countries (2022), the first English-language study of Hong Kong's independence movement. Current projects include ethnographic research on pro-China activists in Taiwan. His work is funded by the U.S. Department of Education, Australian Research Council, and Chiang Ching-kuo Foundation. He translates Tibetan and Chinese works, including Tsering Woeser's Tibet on Fire and Guan Jun's Silencing Chinese Media .曾为香港苹果日报专栏作家，该报于2021年因政治压力关闭。His media contributions appear in Foreign Policy, the Age, and Hong Kong Free Press. He supervises PhD students researching compatible topics in Chinese politics, nationalism, and cultural studies. Grants include two major projects (2018-2024) on Hong Kong nationalism construction.

• Chinese Nationalism
• Ethnic Relations in China
• Hong Kong Politics
• +3 more

Li Song is a Professor and holds the Lesch Centennial Chair & Lloyd G. and Joyce Austin Presidential Professor at the University of Oklahoma's Aerospace & Mechanical Engineering Department. He leads the Building Energy Efficiency Lab and serves as AME Associate Director for Research. His expertise spans building energy systems, HVAC optimization, and fault detection technologies. Education: Ph.D. (Thermal/Fluid Science, 2004) from University of Nebraska-Lincoln; M.S. (Thermal/Fluid Science, 1996) from Harbin Institute of Technology; B.S. (Thermal Energy Systems, 1993) from Shengyang University of Civil Engineering and Architecture. Research focuses on energy-efficient HVAC systems, fault detection algorithms, and building performance analytics. Notable contributions include the ULEM-FDD system for high-performance buildings and virtual sensor technologies for airflow/water flow measurement. Awards include the ConocoPhillips Energy Prize (2011 finalist) and Bes-Tech Innovation Award (2006). Publications emphasize HVAC control strategies, energy modeling, and IoT-enabled diagnostics. Courses taught include Thermodynamics, Energy Efficient Building Systems Design, and HVAC Systems Engineering.

• Building Energy System Optimization
• HVAC System Fault Detection
• Energy Efficiency Technology
• +3 more

Sunday Oyadiji is an Associate Professor in the Department of Mechanical and Aerospace Engineering at The University of Manchester. He holds a BSc (First Class) and PhD in Mechanical Engineering from the same institution (1979 and 1983). Before joining the University of Manchester in 1991, he served as a Lecturer at Obafemi Awolowo University, Nigeria, and conducted postdoctoral research at Heriot-Watt University and the University of Manchester. His research focuses on viscoelasticity, smart materials for vibration isolation, structural fault identification, and composite materials. Key areas include fracture mechanics, multibody dynamics, and biomechanics. He contributes to the Aerospace Research Institute and Digital Futures platforms, advancing aerospace engineering and structural fire safety. Recent work involves stress-intensity factor analysis using 3D-DIC and finite element methods, constitutive modeling of elastomeric foams, and graphene-based energy storage systems. His publications span high-impact journals like Engineering Fracture Mechanics and Polymer .

• Viscoelastic Materials
• Vibration and Shock Isolation
• Smart Materials and Structures
• +6 more

Kevin Baum is a computer scientist currently serving as the deputy head of the Neuro-Mechanistic Modelling (NMM) department at the German Research Center for Artificial Intelligence (DFKI) since January 2023, and head of the Centre for European Research in Trusted AI (CERTAIN) at DFKI since December 2023. Based at the Saarland Informatics Campus in Saarbrücken, Germany, he completed his doctorate in philosophy in March 2024, combining technical expertise with philosophical depth. His work bridges computer science with ethics, focusing on making AI systems transparent and accountable to human users. Dr. Baum's research program centers on interdisciplinary questions concerning the explainability and transparency of AI systems. His work spans multiple significant projects including the Explainable Intelligent System (EIS) initiative and project E7 of the Transregional Collaborative Research Centre 248 "Foundations of Perspicuous Software Systems" (CPEC). He has developed frameworks for understanding stakeholder perspectives on explainable AI and investigated how different information types about automated systems affect user perceptions of fairness and justice. His approach consistently combines theoretical foundations with practical implementations across diverse contexts. Analysis of his publication trends reveals a clear trajectory from theoretical foundations in machine ethics toward practical implementations of explainability requirements in real-world contexts. His work demonstrates increasing focus on human oversight effectiveness, fairness monitoring, and ethical considerations across various AI applications. He has made significant contributions to both academic discourse and practical AI development guidelines, with publications spanning computer science, philosophy, psychology, and human-computer interaction venues. Award for Ethics for Nerds lecture series As a research leader, Dr. Baum contributes to shaping AI development practices through his departmental leadership and interdisciplinary collaborations. His current work with CERTAIN focuses on establishing European research standards for trusted AI development and deployment, emphasizing the practical implementation of ethical requirements in AI systems. He maintains active collaborations across multiple institutions and disciplines, reflecting his commitment to bridging technical and philosophical considerations in AI development. At DFKI, he leads research that combines neuroscientific insights with AI development to create more interpretable systems. The NMM department focuses on both theoretical research on explainable AI foundations and practical applications in various domains, with particular attention to how different stakeholders understand and require explanations from AI systems.

• Explainable AI
• AI Ethics
• AI Fairness
• +4 more

Giacomo Fiumara is an Associate Professor at the University of Messina, Department of Mathematical and Computer Sciences, Physical Sciences and Earth Sciences. He holds academic rank since October 2021. Previously, he served as a Permanent Researcher (2008–2021) and secondary school teacher (1997–2008). He earned a Doctorate in Physics (1993) and a Degree in Physics (1989), both from the University of Messina. He is an associate member of the Accademia Peloritana dei Pericolanti and qualified as an associate professor in INF/01 and ING-INF/05 sectors. His research focuses on social network analysis, network science, data science, criminal networks, knowledge representation, bioinformatics, and computational modeling. He has supervised over 170 theses and advised PhD students in Mathematics and Computational Sciences. Key collaborations include work with Prof. Pasquale De Meo on criminal networks and complex systems, and international projects with institutions in the US, UK, China, and Australia. Teaching includes courses on Algorithms, Data Structures, Bioinformatics, and Machine Learning across Computer Science, Engineering, and Medical programs since 2000. He also contributed to international programs at Lviv Polytechnic, Birzeit University, Cluj-Napoca, and Murcia. His editorial roles include Associate Editor of IEEE Access and Academic Editor of Complexity. He holds a patent for predictive analysis of criminal organizations' social structures and has received FFABR research funding. Key awards include FFABR funding (2017) and recognition in the FFABR Unime 2020 II edition. He organized conferences like Crimenet 2014 and participated in high-profile events such as the 2022 Complex Networks conference in Palermo, presenting on quantum walks for criminal network analysis.

• Social Network Analysis
• Network Science
• Data Science
• +7 more

Aline Gatignon is an Assistant Professor of Management at The Wharton School of the University of Pennsylvania. She holds a PhD in Management from INSEAD and a Master’s in Development Economics from Sciences Po. Her research focuses on cross-sector partnerships addressing socio-environmental challenges in emerging markets, particularly involving firms, governments, and nonprofits. Key areas include corporate social responsibility, stakeholder engagement, and institutional transitions. Education: PhD in Strategic Management (INSEAD), M.A. in Development Economics (Sciences Po), B.A. in Political Science (Sciences Po). Research Interests: Cross-sector collaborations in healthcare, CSR, and disaster response Institutional voids and polycentric governance in emerging markets Impact of political and social strategies on firm performance Awards: ARCS Emerging Sustainability Scholar (2023), Strategic Management Society Best PhD Paper Award, and recognition in INSEAD’s “50 Years, 50 Women, 50 Ideas” series (2018). Editorial Roles: Member of the Strategic Management Journal and Organization Science editorial boards. Teaching: Courses include Introduction to Management and Nonmarket Strategy , focusing on stakeholder engagement and global challenges.

• Cross-sector Partnerships
• Emerging Markets
• Non-market Strategy
• +3 more

Felix Gomez Marmol is an Associate Professor at the University of Murcia's Faculty of Informatics, Department of Information and Communication Engineering. His research focuses on cybersecurity, artificial intelligence, network security, and IoT security. He holds a PhD in Computer Science from the University of Murcia (2010), supervised by Dr. Gregorio Martínez Pérez. Key research interests include adaptive intrusion detection systems, dark web analysis, and AI-driven cybersecurity frameworks. He leads the Intelligent Systems and Telematics research group and previously contributed to the Sistemas Inteligentes group. His work emphasizes practical applications such as the SCORPION Cyber Range platform for cybersecurity training and gamification. Recent projects involve detecting hate networks on social media, optimizing malware defense using transfer learning, and developing SIEM systems for IoT environments. His contributions span technical papers on cybersecurity education, ethical hacking fundamentals, and blockchain-based security solutions. Prof. Gomez Marmol has collaborated on initiatives like the COBRA framework for simulating advanced persistent threats (APTs) and the COnVIDa dashboard for pandemic-related data analysis. His research bridges theoretical advancements with real-world cybersecurity challenges.

• Cybersecurity
• Artificial Intelligence
• Machine Learning
• +5 more

Patrick J. Murphy is a full Professor and the Goodrich Entrepreneurship Chair at the University of Alabama at Birmingham (UAB), serving as Founding Director of the highly acclaimed Barefield Entrepreneurship Program (BEP). He holds editorial leadership roles as Editor-in-Chief of the Journal of Small Business and Enterprise Development and former Editor-in-Chief of Management Decision . Dr. Murphy’s academic journey includes a PhD in Business Administration from the University of Illinois at Chicago (2004), complemented by extensive international experience, including Mandarin fluency and prior work in Beijing. His research focuses on entrepreneurship theory, social enterprise, and historical case studies, with notable contributions like the Heptalogical Model of Entrepreneurship and analyses of Antebellum social ventures. Awards include Techstars’ 'All Star Mentor' (2024) and recognition as Illinois’ 'Entrepreneurship Professor of the Year' (2017). The BEP, under his leadership, has achieved 378% enrollment growth (2020–2024) and secured over $7M in funding. Dr. Murphy’s professional activities span academic service (e.g., Academy of Management Historian), community engagement (former Chicago Cultural Alliance Board President), and entrepreneurial ventures in racehorse breeding. His work bridges historical insights with modern challenges, emphasizing institutional forces, ethical leadership, and cross-cultural entrepreneurship.

• Entrepreneurship
• Social Entrepreneurship
• Management History
• +6 more