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Jamie BernardView profile

Associate Professor

• Carcinogenesis Mechanisms
• Environmental Toxicology
• Obesity-Associated Cancer
• +3 more

Dr. Jamie Bernard is an Associate Professor and Director of the Ph.D. Program in Pharmacology & Toxicology at Michigan State University (MSU), affiliated with the College of Human Medicine. Her research focuses on mechanisms linking environmental exposures, obesity, and carcinogenesis, particularly the role of adipose tissue-derived factors like FGF2 in promoting cancer. She leads the Bernard Lab, which explores chemopreventive agents and inflammatory pathways in obesity-associated malignancies. Dr. Bernard holds a PhD in Pharmacology and Toxicology. Her work spans drug discovery, immune modulation, and translational biomarker development. She teaches courses including PHM 828 Concepts in Carcinogenesis and PHM 802 Pharmacology . Her research highlights include identifying FGF2's role in adiposity-driven breast cancer, UV radiation's effects on immune signaling, and developing high-throughput assays for chemoprevention screening. She collaborates with MSU's Integrated Pharmacological Sciences and Environmental Toxicology programs. Dr. Bernard advises three graduate students and has published extensively in Nature Medicine , Oncogene , and Journal of Investigative Dermatology . Her lab's work aims to translate mechanistic findings into clinical applications for cancer prevention and treatment.

• Experimental Finance
• Behavioral Finance
• Risk Perception
• +3 more

Felix Holzmeister is a Professor at the University of Innsbruck’s Department of Economics , Austria, whose research agenda spans experimental and behavioral finance, meta-science, risk perception, and the reproducibility of empirical research. His work is characterised by large-scale collaborative projects—often involving dozens of co-authors—that combine laboratory experiments, field interventions, and meta-analytical methods to understand how individuals, particularly finance professionals, form expectations, perceive risk, and make decisions under uncertainty. Research Interests: Experimental and behavioural finance, with special attention to replicability of asset-market findings Risk preferences and risk perception among finance professionals and retail investors Meta-science topics such as non-standard errors, reviewer reliability, and computational reproducibility Policy-oriented behavioural interventions (nudging) in household finance and debt collection Across more than fifteen recent papers, Holzmeister’s research exhibits a clear focus on methodological rigour and transparency . His 2024 Journal of Finance article on non-standard errors—co-authored with over 150 colleagues—has already garnered thousands of downloads and citations, illustrating the broad interest in improving statistical inference in finance. A parallel strand of work uses preregistered experiments to test the robustness of classic asset-market findings, while additional studies explore how cognitive skills and personality traits shape fund-manager performance and how choice architecture influences portfolio allocation. Scientific Impact & Recognition: Top-3 000 SSRN author by total downloads (>24 000) Top-10 500 SSRN author by total citations (>100) Lead or co-author on large multi-institutional studies featured in top finance journals Collaboration & Funding: Holzmeister routinely leads interdisciplinary teams involving institutions such as the Stockholm School of Economics, VU Amsterdam, HEC Paris, the University of Gothenburg, and Copenhagen Business School. Funding acknowledgements in his papers imply support from national science foundations and European research councils, although specific grant numbers are not detailed in the present text. Laboratory & Research Environment: He conducts experiments within the University of Innsbruck’s experimental-economics laboratory infrastructure and is affiliated with cross-university consortia such as the “Non-Standard Errors Project” and the “Researcher Variation in Economics” consortium, which bring together dozens of scholars to tackle methodological challenges in economics and finance.

• Behavioral Finance
• Asset Pricing
• Investor Sentiment
• +4 more

Remco C. J. Zwinkels is a Professor at Vrije Universiteit Amsterdam, School of Business and Economics , with affiliations to institutions like Tinbergen Institute and collaborations across global universities including Erasmus University Rotterdam, University of Luxembourg, and Utrecht University. His research bridges finance, economics, and behavioral science. Key affiliations: Vrije Universiteit Amsterdam, Tinbergen Institute, Erasmus University Rotterdam His research focuses on behavioral finance , heterogeneous agent models , market efficiency , and investor sentiment . He investigates how psychological factors and market structures influence asset pricing, exchange rates, and corporate decision-making. Recent work explores climate transition risk (carbon beta), investor attention dynamics (post-COVID-19), and nonstandard errors in market liquidity. His studies often combine empirical analysis, experimental methods, and agent-based modeling. He collaborates with institutions such as Erasmus Research Institute of Management (ERIM), Stockholm School of Economics, and the Bank of Canada. His work appears in journals like the Journal of Finance , Journal of Economic Behavior and Organization , and Journal of Empirical Finance .

Malintha FernandoView profile

Research Fellow

• Multi-Robot Systems
• Distributed Control
• Autonomous Systems
• +4 more

Malintha Fernando is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology in Stockholm, Sweden. His current project focuses on Designing Interaction-Aware Heterogeneous Multi-Robot Systems , aiming to develop scalable distributed control policies for multi-robot systems in dynamic environments. He holds a PhD from Indiana University (2023) and an undergraduate degree from the University of Moratuwa, Sri Lanka. Prior to KTH, he served as a visiting lecturer in Machine Learning at Indiana University and completed an internship at Open Robotics. Education: PhD in Robotics/Control Systems, Indiana University, Bloomington, USA (2023) Bachelor’s degree in Engineering, University of Moratuwa, Sri Lanka Research Interests: Malintha’s work emphasizes cooperative control policies for multi-drone systems, particularly in scenarios with communication failures or dynamic environments. His research addresses challenges in humanitarian aid, disaster response, and urban air mobility (UAM) applications. He explores frameworks to balance task prioritization in real-time, minimizing human bias in system design. Key areas include: Decentralized decision-making in multi-agent systems Swarm intelligence and UAV coordination Robust control under uncertainty Grants & Supervision: His fellowship is hosted by KTH’s Department of Mathematics, under the supervision of Assistant Professor Silun Zhang (Optimization and System Theory) and Professor Petter Ögren (Robotics, Perception and Learning). The project aligns with Digital Futures’ mission to address societal challenges through digital innovation. Labs & Teams: Malintha is affiliated with the Division of Optimization and System Theory and the Robotics, Perception and Learning (RPL) group at KTH, contributing to cross-disciplinary research in robotics and control systems.

Erlend HodnelandView profile

Researcher

• Medical Imaging
• Radiomics
• Tumor Segmentation
• +3 more

Erlend Hodneland is a Researcher at the University of Bergen's Department of Informatics, affiliated with the Mohn Medical Imaging and Visualization Centre (MMIV). His work bridges medical imaging, radiomics, and machine learning, focusing on tumor analysis and prognostication in cancers like cervical and endometrial cancers. He specializes in developing automated tumor segmentation techniques and tools for radiomic signature analysis, integrating visualization and computational methods to enhance clinical decision-making. His research interests include medical imaging analytics, radiomics for cancer prognosis, and interactive visualization frameworks for multiparametric medical data. Collaborations involve radiologists, oncologists, and computer scientists to translate imaging data into actionable insights. Key projects include the RadEx platform for radiomic tumor profiling and automated segmentation algorithms for cervical cancer studies. Notable contributions include MRI-based delta radiomics for tracking tumor responses during chemoradiotherapy and fully automatic whole-volume tumor segmentation. His work emphasizes precision medicine through quantitative imaging biomarkers and interdisciplinary approaches to medical data analysis.

• Computer Networks
• Edge Computing
• Digital Twins
• +4 more

Armir Bujari is an Associate Professor at the Department of Computer Science within the Faculty of Science and Engineering at the University of Bologna. His research focuses on advanced networking, edge computing, digital twins, and blockchain applications. He holds a scientific disciplinary sector specialization in Information Processing Systems (IINF-05/A). Key research areas include: Edge and cloud computing architectures IoT and smart systems integration Blockchain-enabled data ecosystems Urban and industrial digital twins Disaster communication protocols Recent publications emphasize innovative solutions in federated learning, QUIC protocol optimization for satellite networks, and digital twin applications in logistics and smart cities. His work bridges theoretical advancements with practical implementations in 5G/6G networks, disaster response systems, and sustainable energy grids. Office location: 1st floor, Palazzina ex-scuderie, Viale Risorgimento 2, Bologna. Reception hours are typically Mondays 3-5 PM, with flexible scheduling via email.

Giulia IoriView profile

Professor

• Agent-Based Modeling
• Financial Markets
• Economic Networks
• +7 more

Professor Giulia Iori is a Professor of Economics at the Department of Economics, City, University of London. She holds a PhD in Theoretical Physics from Sapienza University of Rome and has held academic positions at King's College London, the University of Essex, and several international research institutions. She is a leading figure in the application of agent-based models to economics and complexity in financial markets. Professor of Economics, City, University of London (2005–present) Reader in Applied Mathematics, King's College London (2004) Lecturer in Financial Mathematics, King's College (2000–2004) Lecturer in Finance, University of Essex (1998–2000) Her research focuses on financial market microstructure, economic networks, systemic risk, and agent-based modeling. She has pioneered interdisciplinary approaches combining physics and economics to understand complex financial systems. Her work spans high-frequency trading, option pricing, financial stability, and network dynamics in banking systems. The recent publications highlight a strong trend in analyzing financial networks, systemic risk, and macroprudential regulation using agent-based models. Her research increasingly integrates empirical data with simulation techniques to assess policy effectiveness in heterogeneous banking environments. Key themes include interbank market dynamics, capital buffers, market transparency, and the role of network structure in financial stability. Lamfalussy Fellowship, European Central Bank (2003) Professor Iori has been actively involved in academic leadership, serving as Head of Department (2017–2020) and currently as Associate Dean for Employability, Engagement and Enterprise. She is Co-Editor of the Journal of Economic Dynamics and Control and the Journal of Economic Interaction and Coordination, and President of the Society for Economic Science with Heterogeneous Interacting Agents. She has advised on gender equality initiatives at City, University of London, and is a member of the London Mathematical Society and the Institute of Physics.

Kuilin ZhangView profile

Associate Professor

• Transportation Systems
• Intelligent Transportation Systems (ITS)
• Freight Logistics
• +5 more

Dr. Kuilin Zhang is an Associate Professor in the Department of Civil, Environmental, and Geospatial Engineering at the College of Engineering and an Affiliated Associate Professor in the Department of Computer Science at the College of Computing, Michigan Technological University. He is affiliated with the Michigan Tech Transportation Institute (MTTI), Institute of Computing and Cybersystems (ICC), and Center for Agile Interconnected Microgrids (AIM). His research focuses on transportation systems optimization, connected and automated vehicles (CAVs), freight logistics, and cyber-physical systems integration. Dr. Zhang holds a Ph.D. in Transportation Systems Analysis and Planning from Northwestern University (2009), with postdoctoral fellowships at Northwestern and Argonne National Laboratory (2010–2013). Education: PhD in Transportation Systems Analysis and Planning (Northwestern University, 2009) Professional Roles: Member of TRB committees (AEP40, AT015, AR030), SAE Cooperative Driving Automation Committee, IEEE, INFORMS, and ITE. Research Interests: Dr. Zhang’s work spans data-driven optimization , cooperative adaptive cruise control , intermodal freight modeling , and mobile sensing . He develops models for CAVs, smart city infrastructure, and resilient logistics systems. Recent projects include DOE-funded research on intermodal freight resilience and NSF CAREER Award-supported CAV control algorithms. Publications: Over 30 peer-reviewed articles in journals like Transportation Research Part B and IEEE Transactions on Smart Grid , focusing on traffic flow theory, CAV systems, and freight optimization. Awards: NSF CAREER Award (2019), TRB Gartner Prize (2022). Grants: Total funding exceeds $5M from NSF, DOE, USDOT, and MDOT for projects like drone-based infrastructure monitoring and CAV energy efficiency. Advising: Supervised 6 Ph.D. students, with notable alumni including Dr. Ali Jalooli (now faculty at California State University). Labs: Leads the Sustainable and Intelligent Transportation Systems (SITS-Lab) and Connected and Automated Vehicle Systems Testing (CAVS-Lab), developing tools like CARDS for CAV simulation and UAV traffic monitoring systems.

Pamela A. LabadieView profile

Professor

• Monetary Theory
• Asset Pricing
• Macroeconomics
• +6 more

Pamela A. Labadie is a Professor of Economics in the Department of Economics at the College of Arts and Sciences, The George Washington University, where she has been a faculty member since 1996. She serves as a PhD adviser and holds tenure. Her academic journey includes teaching positions at Columbia University, Stanford University, the University of California at Santa Barbara, and the Indian Statistical Institute in New Delhi. She also worked as a research economist at the Federal Reserve Board's Division of Monetary Affairs. Education: Ph.D., University of Chicago Her research lies at the intersection of monetary economics and financial theory. She specializes in monetary policy, banking and intermediation, asymmetric information, moral hazard, asset pricing, and dynamic economic models . Her work explores how incomplete market participation and information asymmetries affect risk-sharing, asset prices, and macroeconomic outcomes. She uses rigorous theoretical frameworks to analyze optimal contracts, equilibrium dynamics, and policy implications in complex economies. The recent publications and book projects reflect a consistent focus on dynamic asset pricing, monetary models, and risk-sharing under incomplete markets . Her work bridges macroeconomic theory with financial economics, often employing advanced mathematical and computational tools to derive insights into real-world economic mechanisms. Scientific Awards: No specific awards listed in the provided text. Professor Labadie advises PhD students and has co-authored major academic books. While specific grants are not mentioned, her long-standing research output in top journals and book publications suggests sustained research funding and scholarly impact. She is actively contributing to the advancement of economic theory and policy analysis. She maintains an academic website at https://sites.google.com/site/pamelalabadiegw/ and is accessible via email and office phone, indicating active engagement in research, teaching, and academic mentorship.

Benjamin RogersView profile

Academic

• Antimicrobial Drug Resistance
• Outpatient Parenteral Antimicrobial Therapy (OPAT)
• Hospital-in-the-Home Programs
• +5 more

Professor Benjamin Rogers is an Associate Professor (Research) at Monash University’s School of Clinical Sciences and a clinical researcher at Monash Health. His roles include leading the Monash Infectious Diseases clinical research service and serving as Clinical Lead for the Monash Hospital-in-the-Home program. He holds adjunct appointments and has expertise in antimicrobial resistance, OPAT, and clinical trials, particularly in infectious diseases and post-COVID-19 care. Education: PhD in Clinical, Epidemiological, and Molecular Characteristics of Escherichia coli Infection (University of Queensland, 2015) FRACP (Fellow of the Royal Australasian College of Physicians, 2009) MBBS (Bachelor of Medicine/Bachelor of Surgery, Monash University, 2001) Research Interests: Antimicrobial resistance mechanisms and clinical management Optimization of outpatient parenteral antimicrobial therapy (OPAT) Clinical trials for infectious diseases, including those involving new antifungal agents and antibiotic durations Epidemiology of Escherichia coli and other pathogens Improving hospital-in-the-home programs for cardiovascular and liver diseases Recent Projects: Leading Phase 3 trials for novel antifungal treatments (e.g., Olorofim) Optimizing prosthetic heart valve surfaces to prevent infective endocarditis Designing wearable antibiotic delivery systems (e.g., CryoCare) Evaluating LivR Well, a home-based liver optimization program Awards: 2024 Good Design Award for the CryoCare wearable cool-infuser Grants and Collaborations: Recipient of a $6.3M National Health and Medical Research Council (NHMRC) grant for antimicrobial stewardship studies Collaborations across Australia, New Zealand, and Singapore on multidrug-resistant bacteria Principal Investigator for multiple industry-funded trials Labs/Teams: Monash Infectious Diseases Clinical Research Team Victorian Heart Institute (VHI) collaboration network Partnerships with the Hospital-in-the-Home Society Australasia

Wilbert ZwartView profile

Professor

• Biomedical Engineering
• Molecular Biology
• Cancer Research
• +3 more

Wilbert Zwart is a Part-time Full Professor in the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e). His research focuses on molecular mechanisms underlying cancer progression, epigenetic regulation, and computational modeling of tumor microenvironments. He collaborates actively with interdisciplinary teams in chemical biology and systems biology. Key research interests include chromatin dynamics, CRISPR-Cas9 editing efficiency modulation, and agent-based modeling of tumor growth. Recent work addresses epigenetic drug effects on gene editing tools and genomic heterogeneity in breast tumors. His studies integrate computational approaches with experimental biology to uncover cancer vulnerabilities. Publications span high-impact journals like Genome Biology, Nucleic Acids Research, and npj Systems Biology and Applications. No ancillary activities are listed, and no scientific awards are mentioned. Collaborations include co-authors from TU/e and international institutions, though formal student advisees are unspecified. Wilbert Zwart contributes to TU/e's Biomedical Engineering research ecosystem without noted lab-specific details or grant mentions in the provided text.

• Programming Languages
• Refactoring
• Parallel Programming
• +12 more

Christopher Brown is a Lecturer in the School of Computer Science at the University of St Andrews, where he conducts research in programming languages, refactoring, parallel programming, and energy-efficient computing. He is a member of the Programming Languages research group and leads the EPSRC-funded Energise project, focused on energy-aware refactorings for embedded systems. Previously, he led the EU Horizon 2020 TeamPlay project, addressing time, energy, and security in parallel software. Research Interests: Programming Languages: semantics, compilers, static analysis Refactoring: sequential to parallel transformation, correctness verification Parallel and Concurrent Programming: tools, skeletons, GPUs, multi-core systems Energy Optimization: compiler and refactoring techniques for low-energy software Verification: dependent types, formal soundness, non-functional properties The recent publications reflect a strong focus on dependently-typed parallel languages, algorithmic skeletons, and specification-guided refactoring, with applications in energy efficiency and safety. His work bridges theoretical foundations with practical tool development, including open-source systems like Skel and ParaFormance. Scientific Awards: No scientific awards explicitly mentioned in the provided text. Advising and Grants: Supervision: Accepting postgraduate research students; no named students listed. Grants: Principal Investigator on two major projects: Energise (EPSRC): Refactorings and skeletons for energy-aware embedded systems (2021–2024) TeamPlay (EU Horizon 2020): Time, energy, and security analysis for heterogeneous platforms (2018–2021) Labs and Teams: Member of the Programming Languages group at the University of St Andrews. Actively involved in developing open-source tools such as Skel (Erlang parallel library) and ParaFormance (C/C++ refactoring suite), and contributes to collaborative research in parallelism and verification.

• Educational Psychology
• Academic Self-Concept Formation
• Comparison Processes in Education
• +7 more

Prof. Dr. Fabian Wolff is a Professor of Educational Psychology with a special focus on heterogeneity and inclusion at Bielefeld University, within the Faculty of Psychology and Sport Science and Department of Psychology. He leads the Emmy Noether Junior Research Group COMPASS and holds affiliations with university committees including the Faculty Conference and the Ethics Commission. Professor, Educational Psychology, Bielefeld University (2024–present) Junior Professor, University of Koblenz-Landau (2021–2024) Habilitation, Christian-Albrechts-University of Kiel (2018–2023) Doctorate in Psychology, Kiel (2016–2018) Diploma in Psychology, Sociology, and Economics, Kiel (2010–2016) His research centers on the development of academic self-concepts, particularly through social, dimensional, and temporal comparison processes. He investigates competence and personality development in inclusive educational contexts and explores the digitalization of learning environments, including the use of telepresence robots and chatbots . His work integrates theoretical models such as the 2I/E model and dimensional comparison theory. The 15 most recent publications reflect a strong focus on comparison processes , self-concept dynamics , and the impact of educational technology . Key themes include interventions to boost self-concept, meta-analyses on chatbots, and longitudinal studies on comparison effects across domains. His research spans psychology, education, and technology, often employing quantitative and experimental methods. Scientific awards and honors are not explicitly mentioned in the provided texts. Prof. Wolff has supervised master’s theses and is actively involved in research funding, including two DFG-funded projects: Vergleichsprozesse bei der Ausbildung akademischer Selbstkonzepte (2026) and Das 2I/E-Modell: Die Integration temporaler Vergleiche in das I/E-Modell ("ZEIT") (2025). He has also led the Emmy Noether Junior Research Group COMPASS since 2022. He is a key researcher in Unit 16 – Educational Psychology with Special Consideration of Heterogeneity and Inclusion. His work involves interdisciplinary collaborations and international research stays, including at the Australian Catholic University and the University of Maryland.

• Applied Probability
• Operations Research
• Resource Allocation
• +4 more

J. G. Jim Dai is the Leon C. Welch Professor of Engineering at Cornell University's School of Operations Research and Information Engineering. He specializes in applied probability, resource allocation in processing networks, and operations optimization for healthcare systems and service industries. His research includes fluid and diffusion models, stochastic processes, and reinforcement learning. He co-authored Processing Networks: Fluid Models and Stability (2020) and has advised over 20 PhD students. Dai chairs the ACM SIGMETRICS Achievement Award committee and serves as a trustee for the Applied Probability Trust, overseeing journals like Journal of Applied Probability . His work addresses challenges in semiconductor fabrication, data centers, and hospital inpatient operations. Recent research focuses on reinforcement learning applications in healthcare and ridesharing systems. Education: Ph.D. in Industrial Engineering (Georgia Tech, 1994) Research interests span applied probability with an emphasis on fluid models, diffusion approximations, and stochastic networks. He applies these methods to optimize systems like customer contact centers, hospital operations, and ridesharing networks. Recent publications include advancements in diffusion approximations and steady-state analysis of queueing networks. His former students hold academic and industry positions globally, including at Northwestern University, Duke University, and Meta. Dai organized the 2022 Stochastic Network Conference at Cornell and will co-chair the 2024 edition in Sweden.

Frederik TielensView profile

Professor

• Computational Chemistry
• Density Functional Theory (DFT)
• Silica-Based Materials
• +5 more

Frederik Tielens is a Professor and Chairman of the Department of Chemistry at Vrije Universiteit Brussel (VUB). He holds a habilitation in Chemistry from Sorbonne Université, focusing on computational and theoretical approaches to material characterization. His research emphasizes silica-based materials, noble metals, and bio-materials using Density Functional Theory (DFT). Collaborations with experimentalists and interdisciplinary projects, such as the EU-funded CHARISMA2020 initiative, highlight his commitment to bridging computational and experimental methods. Tielens has led over 20 projects, including strategic research initiatives at VUB, and has been recognized with awards like the DSM Prijs and Amadeus Award. His work spans catalysis, environmental chemistry, and biomedical applications, with a focus on material stability and reactivity at atomic/molecular levels. Education: Habilitation in Chemistry, Sorbonne Université (2010) Post-doctoral positions at Sorbonne Université and Jaume I University (2003–2007) Research Interests: Theoretical spectroscopy, DFT modeling of material properties, catalytic mechanisms, and environmental applications of nanomaterials. Recent work includes studying calcium carbonate polymorphs, graphene nanoclusters, and adsorption dynamics of pharmaceuticals on silica surfaces. Awards & Recognition: Strategic Research Group designation (VUB) EU Seal of Excellence 17+ international awards, including DSM Prijs (2001) and Amadeus Award (2012) Grants & Projects: HERC65: X-ray approaches for material characterization CHARISMA2020: Standardizing Raman spectroscopy EU-funded projects on energy storage and catalysis (e.g., 4TunaTES) Labs & Teams: Leads the Materials Modeling Group within VUB's ALGC strategic research unit, focusing on interdisciplinary computational and experimental collaborations in materials science.