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Andreas MurrView profile

Associate Professor

• Political Behavior
• Public Opinion
• Political Methodology
• +3 more

Andreas Murr is an Associate Professor in Quantitative Political Science at the University of Warwick, Department of Politics and International Studies (PAIS). He joined Warwick from the University of Oxford, where he held roles such as Departmental Lecturer in Quantitative Methods and Non-Stipendiary Lecturer. His research focuses on political behavior, public opinion, and political methodology, with a strong emphasis on election forecasting. He holds a PhD in Government from the University of Essex (2013) and an MA in Public Opinion and Polling (2009). Key areas of expertise include citizen forecasting models, Bayesian statistical methods, and the application of Condorcet’s Jury Theorem. His work has been published in journals like International Journal of Forecasting , Electoral Studies , and Political Analysis . He has supervised PhD students in interdisciplinary projects and contributed to software development, including the R package hot.deck . Educations: PhD in Government (Essex, 2013), MA in Public Opinion and Polling (Essex, 2009), Undergraduate in Political Science, Economics, and Statistics (Bamberg, 2008). His research interests span electoral behavior, forecasting methodologies, and the impact of social networks on public opinion. He has secured grants such as the Oxford University Press John Fell Fund and the ESRC award, and has been recognized with fellowships including the Higher Education Academy (2019). He actively participates in academic service roles at Warwick, including Director of Undergraduate Studies and co-director of interdisciplinary degree programs. His work bridges theoretical political science with practical forecasting, influencing both academic discourse and public understanding of elections.

• Innovation Management
• Artificial Intelligence
• Open Innovation
• +3 more

Hila Lifshitz-Assaf is a Professor of Management at Warwick Business School and a faculty affiliate at Harvard University's Lab for Innovation Science. Her research focuses on the micro-foundations of scientific and technological innovation in the digital age, with emphasis on AI, open innovation, and R&D transformation. She has conducted groundbreaking studies on NASA's open innovation platforms and the impact of AI on healthcare and managerial roles. Education: Doctorate, Harvard Business School MBA, Tel Aviv University (magna cum laude) BA in Management and LLB in Law, Tel Aviv University (magna cum laude) Her research interests bridge empirical and theoretical understanding of innovation processes, including crowdsourcing, open source communities, and AI-driven organizational change. Recent work explores how AI tools reshape managerial and clinical decision-making, winning multiple awards including the MISQ Best Paper Award (2022). Awards: Grigor McClelland Award (EGOS 2015) Best ASQ Paper (2018) MISQ Best Paper (2022) Frank Giarrantani Rising Star Award Teaching & Grants: She teaches Digital Transformation across multiple MBA programs and has received NSF INSPIRE and Industry Research Institute grants. Her consulting background in strategy for telecom and finance sectors informs her work on innovation strategy. She leads the ISM-Analytics (ISMA) Group at WBS and collaborates globally with institutions like MIT, Stanford, and INSEAD.

Ward RomeijndersView profile

Professor

• Operations Research
• Management Science
• Stochastic Programming
• +7 more

Prof. Ward Romeijnders is a Full Professor in the Department of Operations Management & Operations Research at the University of Groningen. He holds leadership roles in academic organizations such as Secretary of the Stochastic Programming Society (COSP), Associate Editor of Mathematical Methods of Operations Research, and Board member of LNMB. His research focuses on stochastic programming, optimization under uncertainty, and applications in energy, logistics, healthcare, and finance. He has led projects like the NWO VIDI grant 'Discrete Decision Making under Uncertainty' (2023-2027) and previously the NWO VENI project on planning under uncertainty. Education: Doctorate in Operations Research (details unspecified). Research Interests: Stochastic optimization, risk-averse decision-making, integer programming, and applications in societal challenges. Recent publications span algorithmic advancements in Benders decomposition, robust optimization, and error-bound theories. He has received multiple awards, including the Gijs de Leve Prize (2015-2017) and Willem R. van Zwet Award (2016). As a teacher, he instructs advanced courses on stochastic programming and optimization under uncertainty. Grants: NWO VENI (2017-2020), NWO VIDI (2023-2027). Editorial Roles: Mathematical Methods of Operations Research, Euro WG on Stochastic Optimization.

Cassandra R. DavisView profile

Assistant Professor

• Environmental Policy
• Disaster Management
• Social Equity
• +7 more

Cassandra R. Davis is an Assistant Professor in the Department of Public Policy at the University of North Carolina at Chapel Hill. Her research focuses on environmental disruptions to schooling communities, particularly addressing systemic racism and inequitable disaster aid distribution to marginalized populations. She holds a Ph.D. and M.A. from UNC-Chapel Hill’s School of Education, a B.A. in Sociology from Wake Forest University, and a certificate in Global Education and Development Studies from Ludwig-Maximilians Universität in Munich. Dr. Davis’ work explores the impacts of natural disasters (e.g., hurricanes Florence, Harvey, and Matthew) on schools, educators, and students in low-income communities of color. She has received funding from the U.S. Department of Homeland Security and the National Science Foundation to study disaster recovery strategies and pandemic-related educational challenges. Her research emphasizes trust-building between emergency management agencies and vulnerable groups, as well as policy solutions to mitigate long-term vulnerabilities. Key research areas include social vulnerability in schooling communities, climate hazard preparedness, and equitable resource allocation. Her articles span topics like teacher resilience post-disaster, WIC program efficacy, and pandemic impacts on marginalized students. Grants and fellowships highlight her interdisciplinary approach to public policy, education, and social justice. Dr. Davis collaborates with educators, policymakers, and community leaders to translate research into actionable strategies. Her work bridges academia and practice, aiming to advance equity in disaster resilience, education systems, and food security initiatives.

James B D JoshiView profile

Professor

• Cybersecurity
• Privacy-Preserving Technologies
• Access Control
• +5 more

James B D Joshi is a Professor in the Department of Informatics and Networked Systems (DINS) at the University of Pittsburgh’s School of Computing and Information (SCI). He joined Pitt in 2003 after earning his PhD from Purdue University. From 2019 to 2023, he served as a Program Director for the NSF’s Secure and Trustworthy Cyberspace (SaTC) program. Currently, he is an intermittent Expert in NSF’s TIP Directorate and led the NSF PDaSP program. His research focuses on cybersecurity and privacy, including access control, AI/ML security, cloud/edge security, and privacy-preserving techniques. Education: PhD, Computer Engineering, Purdue University (2003) MS, Computer Science, Purdue University (1998) BE, Computer Science & Engineering, Motilal Nehru NIT, India (1993) Research Interests: Privacy, security, trust, attribute-based encryption, cloud security, insider threat detection, and privacy-preserving AI/ML. His work emphasizes trustworthy systems and secure distributed computing environments. Recent Contributions: His articles span privacy-preserving federated learning, insider threat mitigation, and secure edge computing. Recent projects include PPFL-RDSN (2025), TAPFed (2024), and blockchain-based transparency frameworks (2022). Awards & Honors: NSF Director’s Award (2023), IEEE Fellow (2023), ACM Distinguished Member (2017), NSF CAREER Award (2006), and SIRI Research Leadership Award (2018). Service & Leadership: Founding director of LERSAIS lab, co-chair of IEEE conferences (TPS, CIC, CogMI), and former Editor-in-Chief of IEEE Transactions on Services Computing. Active in NSF and NITRD policy initiatives, including privacy and digital assets R&D strategies.

Weixi LiuView profile

Senior Lecturer

• Entrepreneurial Finance
• Small Business Growth Dynamics
• Corporate Pension Funds
• +3 more

Dr Weixi Liu is a Senior Lecturer (Associate Professor) in Management Accounting, Finance & Law at the University of Bath, affiliated with the Centre for Research in Entrepreneurship and Innovation and the Centre for Governance, Regulation and Industrial Strategy. He holds a PhD in Finance and MSc in Economics from the University of Exeter Business School. His research focuses on SME financing dynamics, entrepreneurial finance policies, corporate pension funds, and high-growth firm strategies. Prior roles include Associate Professorships at Shanghai University of Finance and Economics and Renmin University of China, as well as positions at Exeter Business School and the UK Department for Business Innovation and Skills (BIS). Research Interests: Corporate pension fund impacts on corporate strategy Financing mechanisms for high-tech startups and SMEs Government policy evaluation on entrepreneurship Small business growth and regional economic disparities Recent Work Trends: His 2023-2025 publications emphasize pandemic-era SME financing challenges, credit market exclusion effects, and gender disparities in entrepreneurial financing. Earlier work (2017-2021) explored post-financial crisis SME resilience, innovation adoption barriers, and cross-country CSR reporting practices. Active in policy-related research, his work contributes to UN SDGs related to economic growth and innovation. Funding & Grants: Leads the Economic and Social Research Council-funded project (2022-2025) investigating SME productivity constraints and a prior University Seed Corn project (2015-2016) on credit markets. Supervised 4 doctoral students focusing on SME financing and innovation topics. Labs/Teams: Engaged with Bath's entrepreneurship research centers, collaborating internationally on SME policy analysis and innovation dynamics.

Dongqi HanView profile

Assistant Professor

• Cybersecurity
• Artificial Intelligence
• Network Security
• +3 more

Dongqi Han is an Assistant Professor at the School of Cyberspace Security, Beijing University of Posts and Telecommunications (BUPT), where he joined in July 2024. He earned his Ph.D. in Computer Science from Tsinghua University in 2024, advised by Prof. Zhiliang Wang, with a joint Ph.D. at Nanyang Technological University under Prof. Yang Liu. His research spans AI/LLM + Security, Traffic Analysis, and Network Security. Education Ph.D., Tsinghua University (2019-2024) CSC Visiting Ph.D., Nanyang Technological University (2022-2023) Bachelor's, Jilin University (2015-2019) Research Focus: • Trustworthy AI for cybersecurity • Anomaly detection in network traffic • Network architecture security analysis Scientific Awards: IRTF Applied Networking Research Prize (2024) Distinguished Artifact Award at CCS'24 Outstanding graduate of Tsinghua University (2024) Qihang Award (2-claass) from Tsinghua University (2024) Grants & Collaborations: Participated in key R&D programs, State Grid projects, and collaborations with Alibaba and Qi-anxin Group.

Tommaso FerrettiView profile

Assistant Professor

• Global Value Chains
• Impact Investing
• Innovation Policies
• +5 more

Tommaso Ferretti is an Assistant Professor at the Telfer School of Management, University of Ottawa. He holds an LL.M. from the University of Pisa, an M.P.A. from LUISS School of Government, and a Ph.D. in Management from McGill University. His research focuses on the intersection of international strategy, sustainability innovation, and global governance, particularly examining how small and medium enterprises (SMEs) in emerging markets can achieve Sustainable Development Goals through impact investing and public policies. Previously, Ferretti worked as a consultant at the International Trade Centre (ITC), managing projects to enhance the sustainability and inclusiveness of global value chains in sectors like cocoa (Ghana), iron and steel/horticulture (Zimbabwe), and coconut (Caribbean). He co-authored the ITC’s Coffee Guide, a leading industry handbook. He continues collaborating as a special advisor on SMEs’ access to finance for the Alliances for Action Program. His funded research includes SSHRC grants examining global sustainability standards networks and Telfer School grants exploring impact investment enablement in Caribbean/Sub-Saharan Africa. Key research areas include innovation policies, knowledge-based markets, and organizational capabilities.

Duncan Temple LangView profile

Professor

• Statistical Computing
• Programming Languages
• R Language Development
• +9 more

Duncan Temple Lang is a Professor in the Department of Statistics and Associate Dean for Graduate Programs at the University of California, Davis. He previously served as Director of the Data Sciences Initiative at UC Davis and has been a faculty member since 2004. His work bridges statistics, computer science, and data science through the development of advanced computational tools. His research focuses on enhancing the R programming language and statistical computing ecosystems. Key areas include language compilation using LLVM, parallel and distributed computing, GPU acceleration (RCUDA), web-based data access (RCurl), and dynamic visualization. He emphasizes software integration across disciplines via the inter-system interface model, enabling seamless data and code exchange between environments. His recent publications center on data technologies in R and data science education, reflecting a strong commitment to both innovation and pedagogy. These works highlight trends in reproducibility, modern web-based data pipelines, and computational reasoning. Associate Dean for Graduate Programs, UC Davis Former Director, Data Sciences Initiative, UC Davis Active contributor to R packages and statistical computing infrastructure Lang has received no explicitly mentioned scientific awards in the provided texts. He advises graduate students and leads research projects involving compilation tools, language interoperability, and data science education, though specific advisees are not listed. He leads the Omegahat project and develops key R packages such as Rllvm, RCurl, and RCUDA, fostering a collaborative research environment focused on future-ready statistical computing.

Sofia AlmeidaView profile

Assistant Professor

• Tourism Marketing
• Hospitality Management
• Sustainability in Tourism
• +5 more

Sofia Almeida is an Assistant Professor at the Faculty of Social Sciences and Technologies, Universidade Europeia. She serves as Coordinator of the Tourism Management Master's program and Director of the Tourism and Hospitality area. Holding a PhD in Tourism from the Institute of Geography and Spatial Planning (IGOT) at Universidade de Lisboa, her expertise spans Tourism Marketing, Digital Communication, Brand Management, and Sustainable Tourism practices. Her research focuses on hotel marketing consortia, sustainability impacts in tourism, and post-pandemic industry recovery. She has organized major events like the UNESCO Winter School 2024 and contributed to international projects such as the 'Tourism: Empowering Sustainability' R&D initiative. Almeida’s work emphasizes interdisciplinary approaches, combining academic research with practical industry engagement through consulting and training programs. She actively participates in international journals as an author and editor, contributing to special issues on sustainable tourism practices and policies.

John HughesView profile

Associate Professor

• Biostatistics
• Health Data Science
• Statistical Computing
• +6 more

John Hughes, PhD, is an Associate Professor and Chair of the Department of Biostatistics and Health Data Science at Lehigh University's College of Health. With nearly 30 years of experience in higher education, he has held positions at institutions including Frostburg State University, the University of Minnesota, and Pennsylvania State University. His methodological research focuses on statistical models for dependent data, Bayesian methods, and spatial and spatiotemporal analysis. He has developed numerous software packages for R and Perl, including copCAR , ngspatial , and krippendorffsalpha . Dr. Hughes' interdisciplinary work spans environmental health, bioimaging, vaccine hesitancy, and spatial epidemiology of HPV-related cancers. He has consulted for organizations such as the Courage Kenny Research Center and Temple University. His education includes a PhD in Statistics from Penn State University and an MS in Applied Computer Science from Frostburg State University. His research emphasizes statistical computing and the application of advanced models to health data. Recent work includes methodologies for agreement coefficients, environmental noise measurement, and spatial analysis of vaccination refusal patterns. Dr. Hughes teaches courses in biostatistics, data science, and programming, reflecting his dual role as a teacher-scholar. Professional contributions include software development, collaborative research projects, and academic leadership. His work bridges computational innovation and real-world health challenges, positioning him as a key figure in modern biostatistical research.

Anders Henry NielsenView profile

Researcher

• Plasma Physics
• Fusion Energy
• Tokamak Devices
• +7 more

Anders Henry Nielsen is a Senior Scientist in the Department of Physics at the Technical University of Denmark (DTU), specializing in Plasma Physics and Fusion Energy. He is based at DTU’s Fysikvej campus in Kgs. Lyngby, Denmark, and maintains an active research profile with over 350 publications. His work is central to advancing understanding in magnetic confinement fusion, particularly through computational modeling and experimental collaboration with major tokamak facilities worldwide. His research interests lie at the intersection of plasma turbulence, edge physics, and fusion energy. He investigates phenomena such as zonal flows, coherent structures, and transport scaling in tokamak plasmas. His work often involves developing and applying advanced numerical models, including coupling Monte Carlo methods with 2D fluid models like HESEL, to simulate neutral particle behavior and turbulence in the plasma edge. He has contributed to major experimental campaigns on devices such as TCV, ASDEX Upgrade, and EAST, focusing on heating, fueling, and stability. His recent publications highlight trends in computational plasma physics, parametric instabilities, and cross-field transport. These works span disciplines including plasma turbulence, magnetic confinement, and fusion reactor engineering, with subfields like Monte Carlo simulations, electron cyclotron resonance heating, and synthetic diagnostics. His research consistently addresses key challenges for ITER and DEMO, such as power threshold scaling and heat flux management. Anders Henry Nielsen has supervised multiple PhD students, including R. Gerru Miguelañez, G. Avdeeva, J. M. B. Olsen, and J. Madsen, on projects related to zonal flow dynamics, neutral injection, and turbulence modeling. He has received research funding from various sources, including national and international fusion programs, and has been involved in projects funded by research councils and institutional grants. He is affiliated with the Plasma Physics and Fusion Energy section at DTU, where he collaborates closely with leading researchers such as V. Naulin, J. J. Rasmussen, and S. Kragh Nielsen. His team contributes to both theoretical and experimental aspects of fusion science, participating in international collaborations and presenting findings at major conferences. He has organized academic events, such as the Ninth Sino-Danish Autumn School on Fusion Plasma Physics and Technology.

• Substance misuse prevention
• Polysubstance use
• Alcohol epidemiology
• +7 more

Dr. Gary C.K. Chan is an NHMRC Emerging Leadership Fellow at the National Centre for Youth Substance Use Research within the School of Psychology at the University of Queensland. As a statistical advisor, he provides methodological guidance to academic staff and research higher degree students. His collaborative work spans major international research institutions including the University of Washington, Murdoch Children's Research Institute, University of Melbourne, and University College London, with significant policy impact through consultation with the United Nations Office of Drugs and Crime. Dr. Chan's principal research focuses on substance misuse prevention and advanced statistical methods for longitudinal analysis. His work examines polysubstance use patterns (particularly alcohol, tobacco, and cannabis) among adolescent populations, urban-rural disparities in substance use, and the epidemiology of various substances. He applies sophisticated statistical modeling to understand complex relationships between substance use, mental health, and sociodemographic factors, with particular attention to methodological innovations in addiction research. Dr. Chan's prolific publication record demonstrates a strong focus on contemporary substance use issues, particularly cannabis and vaping trends among youth. His research employs diverse methodologies including longitudinal analysis, systematic reviews, and wastewater-based epidemiology. There's a clear emphasis on policy-relevant research that examines the impact of regulatory changes on substance use patterns, with significant contributions to understanding cannabis use for medicinal purposes and the relationship between social media exposure and substance use behaviors. Scientific Awards: NHMRC Emerging Leadership Fellowship As a statistical advisor at the School of Psychology, Dr. Chan provides methodological support to academic staff and research higher degree students. Since 2016, he has conducted advanced statistical workshops on R programming and multilevel modeling. His research is supported through the NHMRC fellowship and numerous collaborations with major national and international institutes that facilitate large-scale epidemiological studies and policy-relevant analyses. Dr. Chan is affiliated with the National Centre for Youth Substance Use Research at the University of Queensland. His collaborative network spans multiple research teams across continents, enabling comprehensive investigations of substance use patterns and their determinants in diverse populations and settings.

Vaughn BetzView profile

Professor

• Field-Programmable Gate Arrays (FPGAs)
• Computer-Aided Design (CAD)
• Hardware Acceleration
• +4 more

Vaughn Betz is a Professor in the Department of Electrical and Computer Engineering at the University of Toronto, Faculty of Applied Science and Engineering. He is also a Distinguished Visiting Professor at Cerebras Systems and Faculty Affiliate at the Vector Institute for Artificial Intelligence. His research focuses on creating efficient programmable hardware (FPGAs), computer-aided design (CAD) programs to optimize hardware systems, and hardware accelerators for compute-intensive applications like deep learning. He developed the widely used VPR FPGA CAD flow and co-founded Right Track CAD, acquired by Intel/Altera. Education BSc in Electrical Engineering, University of Manitoba (1991) M.S. in Electrical and Computer Engineering, University of Illinois at Urbana–Champaign (1993) PhD in Electrical and Computer Engineering, University of Toronto (1998) Research Focus Betz's research spans FPGA architecture innovation, CAD tool development, and hardware acceleration methods. Key areas include: Creating FPGA architectures optimized for deep learning inference Developing datacenter-friendly FPGAs with embedded NoCs Mapping deep learning applications to programmable hardware CAD tools for FPGA debugging and context switching Hardware acceleration for medical applications like photodynamic cancer therapy Awards and Honors Fellow of IEEE, NAI, and Engineering Institute of Canada Professional Engineers of Ontario Medal for Engineering Excellence (2016) 13 best/most significant paper awards NSERC/Intel Industrial Research Chair in Programmable Silicon Google Faculty Research Award (2020) Multiple teaching awards including Gordon R. Slemon Award (2016) Research Leadership Betz leads the Verilog-to-Routing (VTR) project and co-directs the Intel/Vmware Crossroads 3D FPGA Academic Research Centre. His research is sponsored by NSERC, Intel, Google, AMD, IBM, and others.

• Organic Synthesis
• Medicinal Chemistry
• Natural Product Synthesis
• +6 more

Paul Evans is an Associate Professor in the School of Chemistry at University College Dublin, where he has been a faculty member since 2006. His research focuses on organic synthesis with applications in medicinal chemistry and drug discovery. He maintains an active research program with numerous publications and research grants spanning over two decades. His educational background includes: B.Sc. in Chemistry from the University of East Anglia (1994) D. Phil. in Synthetic Organic Chemistry from the University of York (1998), supervised by Prof. R. J. K. Taylor Professor Evans' research program centers on the development of novel synthetic methodologies with biological applications. His primary research interests include the synthesis of cyclopentenone derivatives related to prostaglandins, fluorinated analogs of natural alkaloids, and antifungal compounds. His work often bridges organic synthesis with medicinal chemistry, focusing on compounds that interact with biological targets such as NF-κB and PPAR-gamma. A significant portion of his research involves asymmetric synthesis techniques, including enzymatic methods using lipase enzymes. His laboratory employs both traditional synthetic organic chemistry approaches and modern techniques like solid-phase peptide synthesis for complex molecule construction. Analysis of his recent publications (2020-2025) reveals a consistent focus on synthetic methodology development with medicinal applications. His work shows increasing emphasis on fluorinated compounds, antifungal agents, and the synthesis of complex alkaloid structures. There is a clear trend toward interdisciplinary research that combines organic synthesis with biochemical evaluation, particularly in the areas of antifibrotic agents and antiparasitic compounds. His group has made significant contributions to vinyl sulfone chemistry, cyclopentenone synthesis, and the development of novel reduction methodologies. Professor Evans has secured multiple research grants, including: Science Foundation Ireland grants for drug discovery programs (2007, 2019-2027) A Start-Up Grant (2002-2003) He actively mentors graduate students through the Chemistry MSc Internship program and coordinates several advanced chemistry courses including 'Advanced Synthetic Chemistry' and 'Organic Synthesis'. His research group appears to focus on synthetic organic chemistry with applications in medicinal chemistry and drug discovery, with particular expertise in cyclopentenone chemistry, alkaloid synthesis, and the development of novel synthetic methodologies.