Associate Professor Jianfeng Shen is a finance scholar at the UNSW Business School , affiliated with the School of Banking and Finance . Holding a PhD in Finance from National University of Singapore and a BA in Economics from Zhejiang University , his research focuses on empirical asset pricing and information processing in capital markets . He has published extensively on topics including ESG integration , financial distress anomalies , and market participant behavior . Academic leadership: Associate Professor, UNSW Business School Education: PhD (NUS), BA (Zhejiang) Research themes: Asset pricing mechanisms, ESG factors, investor psychology His work analyzes how financial intermediaries (analysts, asset managers, news media) influence stock return comovement and market efficiency . Through collaborations with researchers in Australia, Singapore, and the U.S., he has explored topics like dividend policies , hedge fund activities , and regulatory impacts (e.g., financial transaction taxes, class action lawsuits). Professional engagements include: Ad-hoc referee for 12 journals (JFQA, Journal of Corporate Finance, etc.) Grant reviewer for Australian Research Council and Hong Kong RGC Member of American Finance Association , Western Finance Association , and European Finance Association
Luca De Angelis is an Associate Professor at the Department of Economic Sciences within the University of Bologna , Italy. His research focuses on econometrics, climate change economics, financial markets, and sports economics. He holds the scientific-disciplinary sector ECON-05/A (Econometrics). Key research interests include: Climate change impacts on macroeconomic systems and financial markets Econometric methods for cointegration and time series analysis Behavioral aspects of betting and prediction markets Analysis of transition risks in energy and sovereign debt markets Publications trends reflect interdisciplinary focus on: Climate policy and financial stability (e.g., transition risks in CDS markets) Innovative econometric methodologies (e.g., adaptive cointegration rank determination) Sports analytics (Elo-based predictions for tennis and basketball) No scientific awards are explicitly mentioned. His work integrates advanced statistical techniques with real-world applications in economics, finance, and sports.
Prof. Fabienne Barroso Bujans is an Ikerbasque Research Professor at the Donostia International Physics Center (DIPC) and the Materials Physics Center (CFM) in San Sebastián, Spain. Her research group focuses on topological polymers, cyclic polymer synthesis, and their applications in nanodevices and graphene-based hybrid materials. She leads a multidisciplinary team exploring polymer confinement, functionalization, and biomedical applications. Her work emphasizes the synthesis of cyclic polymers using novel methodologies like zwitterionic ring-opening polymerization (ZROP) with B(C6F5)3 catalysts. Key areas include understanding polymer dynamics under confinement, developing luminescent polymer-ruthenium complexes, and creating nanomaterials for energy and biomedical uses. She has supervised numerous students, including PhD candidates and visiting researchers supported by grants like 'Woman for Africa.' Recent research highlights include the 2024 study on glycidol polymerization kinetics and the 2022 work on macrocyclic polymer applications. Her group has pioneered methods to isolate and characterize cyclic polymers using UPLC-MS/MS and dielectric spectroscopy. She actively recruits interns and postdocs, emphasizing organic chemistry and polymer science expertise. Founded research group in 2016 Collaborations with international institutions (e.g., Nnamdi Azikiwe University, Beni-Suef University) Key facilities: DIPC labs in Donostia
Michael Sangid is the Reilly Professor of Aeronautics and Astronautics and Professor of Materials Engineering at Purdue University. His academic roles include being a University Faculty Scholar (2022–2027) and Executive Director of the Hypersonics Advanced Manufacturing Technology Center. He holds dual appointments as a Professor in the School of Aeronautics and Astronautics and a courtesy Professor in the School of Materials Engineering. Dr. Sangid earned his B.S., M.S., and Ph.D. in Mechanical Engineering from the University of Illinois, Urbana-Champaign (2002–2010). His research integrates materials science, solid mechanics, and advanced manufacturing to develop physics-based models for structural materials, including high-temperature alloys, composites, and additive manufacturing processes. His ACME Laboratory focuses on microstructure-sensitive modeling, defect analysis, and experimental validation using advanced techniques like synchrotron X-ray diffraction and in-situ imaging. Key research interests include fatigue crack propagation, microstructural defect characterization, and computational tools for material lifing. He leads projects on rotating detonation rocket engines, ceramic matrix composites, and damage tolerance in aerospace materials. Notable awards include the NSF CAREER Award (2017) and DARPA Director’s Award (2016). Education: B.S. Mechanical Engineering, UIUC, 2002 M.S. Mechanical Engineering, UIUC, 2005 Ph.D. Mechanical Engineering, UIUC, 2010 Lab & Teams: Advanced Computational Materials and Experimental Evaluation (ACME) Lab, focusing on integrated computational and experimental approaches. Awards: NSF CAREER, DARPA Director’s Award, TMS Early Career Fellow, ASME Orr Award, and Purdue University Faculty Scholar.
Professor Hailiang Yu is an Honorary Fellow at the University of Wollongong's School of Mechanical, Materials, Mechatronic and Biomedical Engineering. His research focuses on engineering materials, manufacturing processes, and mechanical engineering, with over 100 journal/conference publications and 30 science-focused newspaper commentaries. He serves as co-Editor-in-Chief of Modeling and Numerical Simulation of Material Science , and holds editorial roles in Scientific Reports and International Research Journal of Engineering Science, Technology and Innovation . Yu has secured significant funding through grants such as the Australian Research Council's 'Large-volume gradient materials' project (2017–2020) and 'A Physical-based abrasive wear model' (2013–2016). His work emphasizes cryorolling, microstructure optimization, and advanced material fabrication techniques. He currently supervises Master's and PhD students in materials engineering and manufacturing innovation. Key research themes include cryogenically processed alloys, bimetallic clad sheets, and high-entropy composites. His publications in journals like Metallurgical and Materials Transactions A and Journal of Materials Processing Technology reflect expertise in structural optimization, tribology, and corrosion resistance. Yu aims to become an international leader in materials manufacturing and mechanical engineering.
Dr. Lazaros Symeonidis is a Senior Lecturer in Finance at Essex Business School (University of Essex), specializing in financial econometrics, asset pricing, and commodities. He holds a PhD in Finance from the ICMA Centre, University of Reading, and has taught at the University of East Anglia and the University of Stirling. His research focuses on volatility modeling, commodity risk premia, and the economic drivers of market uncertainty. Education qualifications include a PhD in Finance (University of Reading), MSc in Mathematics for Finance (Athens University of Economics and Business), and BSc in Management Science and Technology (Athens University of Economics and Business). Research interests span financial econometrics, forecasting, empirical asset pricing, and commodities, with a focus on volatility dynamics, jumps, and market microstructure. His work has been published in journals like Journal of Financial Markets and Journal of Banking and Finance . Recent articles analyze convenience yield risk, factor models, and commodity market volatility, reflecting his expertise in energy and financial markets. He has secured grants from the British Academy and ESCP for research on commodity storage premiums. Academic supervision includes doctoral student Shengqiu Ma. Lazaros serves as an associate editor for the Journal of Commodity Markets and contributes to the Commodity Insights Digest.
Felix Otto is a Director at the Max Planck Institute for Mathematics in the Sciences and an Honorary Professor for Analysis and Mathematical Modeling at the University of Leipzig. His research focuses on pattern formation, energy landscapes, and scaling laws, with contributions to stochastic homogenization, PDEs, and optimal transport. He has held academic positions at the University of California and the Hausdorff Center for Mathematics. Notable grants include projects on microstructure formation in thin coatings and stochastic homogenization. He has organized conferences such as the ICM satellite conference on Probability and Mathematical Physics. His work bridges pure and applied mathematics, with implications for materials science and fluid dynamics. Education: Diplom (1990), PhD (1993) from Bonn University. Postdoctoral roles at Bonn, Courant Institute, and CMU. Tenured faculty roles at UCSB (1998–2010) and Bonn (1999–2010). Research interests span stochastic PDEs, calculus of variations, and the mathematical theory of materials. Grants include BMBF and DFG projects on microstructure modeling and homogenization.
Andrea Argüelles is an Associate Professor in the Department of Engineering Science and Mechanics at Pennsylvania State University (Penn State), part of the College of Engineering. She holds affiliate researcher roles in the IEE Research Themes focusing on Health and the Environment, and Integrated Energy Systems. Her work bridges materials science and mechanical engineering, emphasizing non-destructive evaluation (NDE) techniques like ultrasonics for characterizing additive-manufactured materials and polycrystalline structures. In 2024, she received the NSF CAREER Award for her research contributions. Her research interests include ultrasonic testing of composites and metals, additive manufacturing process-structure-property relationships, and computational modeling of wave propagation in complex materials. Notable projects involve improving inspectability of 3D-printed parts, cryogenic ultrasonic testing of ice matrix composites, and analyzing defects in silicon wafers. She collaborates widely, with recent work published in journals like Communications Materials , Journal of Applied Physics , and Finite Elements in Analysis and Design . Key Themes: Polycrystalline materials, binder jetting, acoustic holography, defect detection. Awards: NSF CAREER Award (2024). Dr. Argüelles is actively involved in engineering education, contributing to initiatives like the ASEM seminar series for doctoral career development. Her research group addresses challenges in materials characterization, with applications in aerospace, energy systems, and semiconductor manufacturing.
Margaret Fong is an Assistant Professor in the Department of Accounting at HEC Montréal. She holds a Ph.D. in Business Administration from the University of California, Berkeley, along with an M.Sc. in Business Administration and a B.Comm from UC Berkeley and the University of British Columbia, respectively. Her research focuses on quantitative finance and financial regulation, with recent publications exploring short sale disclosure rules and special purpose acquisition companies (SPACs). She teaches courses such as Management Accounting and Performance Measures, and Research in Financial Accounting. Recent supervision includes MSc projects analyzing AI's impact on restaurant franchising finance and the relationship between ESG performance and corporate fraud controversies. She is affiliated with HEC Montréal's main campus in Montréal, Canada.
Matthew Bidwell is a Research Fellow at Imperial College London's Department of Chemistry within the Faculty of Natural Sciences. His research focuses on sustainable energy materials, including photocatalytic hydrogen generation and electrocatalytic biomass oxidation using organic semiconductors. He holds a PhD from Imperial College (2016-2021) and was awarded the prestigious EPSRC Doctoral Prize Fellowship (2021), which he undertakes in collaboration with Professors Martin Heeney and Magda Titirici. Matthew's work bridges fundamental materials science with real-world applications in energy and environmental sustainability. He has held residential roles including Assistant Warden of Woodward Buildings (2021-2023), overseeing pastoral care for 700 students, and Subwarden positions in Pembridge Hall and Woodward Buildings. Matthew is an active member of the Royal Society of Chemistry and UKRI Early Career Researcher Forum. His research interests span organic photovoltaics, nanoparticle engineering, and biomass conversion. Notable achievements include co-inventing nanoparticles for photocatalytic hydrogen evolution (US Application No. 17/639,966) and being shortlisted for Forbes 30 Under 30 in Science & Healthcare. He has secured beamtime at ISIS Neutron and Muon Source for nanoparticle morphology studies and received multiple grants for research stays at Kyoto University and conference participation. Matthew’s publications emphasize practical applications of materials science, with recent work addressing organic solar cell stability and photocatalytic systems for sustainable chemical production. His innovative approaches to waste biomass utilization and hydrogen generation align with global sustainability goals.
Pierre Six is a Professor of Finance at NEOMA Business School. He holds a PhD from the University of Paris 1 Panthéon-Sorbonne (2009) and an accreditation to supervise research from the University of Paris-Dauphine (2017). His expertise focuses on commodities, risk management, derivatives, and dynamic asset allocation. He has taught risk management and commodity markets extensively. Research Interests His work spans: Commodity market dynamics and hedging strategies Asset allocation under varying risk aversion Derivative pricing with stochastic convenience yields Financial statement analysis for bankruptcy prediction Key Contributions Recent studies include: Oil producer hedging behavior (European Journal of Operational Research, 2025) Bankruptcy prediction models (European Accounting Association, 2025) Dynamic consumption-asset models (Finance Research Letters, 2024) Awards Received the Best Paper Award in Derivatives (Eastern Finance Association, 2010). Roles & Activities Holds administrative positions at NEOMA and actively participates in academic conferences globally, including presentations at the European Finance Association and Energy Finance conferences.
Professor Michael Preuss is a leading academic in the Department of Materials Science & Engineering at Monash University, Faculty of Engineering, where he joined in August 2020. He also holds a 20% continuing position at the University of Manchester, UK, where he previously served in multiple leadership roles. His research focuses on the relationship between manufacturing, processing, and performance of structural materials, particularly titanium and zirconium alloys, nickel-base superalloys, and steels for high-temperature and nuclear applications. First Degree: Technical University Berlin, Germany PhD: Technical University Hamburg-Harburg, Germany Michael Preuss’s research interests lie at the intersection of materials processing and performance prediction. He investigates how microstructural evolution during manufacturing affects mechanical behavior, with a focus on reducing safety margins in safety-critical components such as aeroengine parts and nuclear fuel claddings. His work emphasizes in-situ characterisation using advanced tools like synchrotron X-ray , neutron diffraction , digital image correlation , and 3D X-ray tomography . The research is highly interdisciplinary, combining experimental data with modelling to understand degradation mechanisms under stress, temperature, and irradiation. The recent publications highlight a strong focus on irradiation damage in zirconium alloys , plasticity in Ni-base superalloys , and advanced alloy development . These works employ cutting-edge diffraction and imaging techniques to probe dislocation structures, phase evolution, and mechanical onset at micro scales, reflecting a trend toward physically based lifetime prediction models. His work is closely tied to large-scale facilities and national initiatives like the European Spallation Source and the Sir Henry Royce Institute. Scientific awards include: Grunfeld Memorial Medal (IOM3, 2013) ASTM Kroll Medal (lifetime achievement in zirconium research) EPSRC Leadership Fellowship (2011) Fellow of Materials, Minerals and Mining (2016) MWA Research Activation Fund (2024) Michael Preuss actively supervises PhD students and leads major research projects, including those funded by EPSRC and focused on fuel cladding (MIDAS) and advanced manufacturing. He collaborates extensively with researchers across institutions and industries. He chairs the Scientific Advisory Committee of the European Spallation Source and serves on panels for neutron facilities like ILL and ISIS. His labs and research teams are equipped for solid-state additive manufacturing, in-operando micromechanical testing, and advanced microstructural analysis, forming a robust ecosystem for materials innovation.
Chuanping Sun is a Lecturer in Finance at Bayes Business School, City, University of London. He earned his PhD in Economics from Queen Mary University of London and has held visiting positions at New York University and FGV Sao Paulo. His research bridges machine learning and empirical finance, with a focus on robust factor selection in asset pricing models. His research interests include: Empirical Asset Pricing Financial Econometrics Machine Learning in Finance Portfolio Choice Cross-Sectional Asset Returns Factor Models His recent work investigates the impact of factor correlations on model robustness, proposing a correlation-robust machine learning approach (using OWL shrinkage) to identify key drivers of asset returns, including the market, liquidity, momentum, and profitability factors. His research shows that traditional methods like LASSO and Fama-MacBeth often fail to detect the market factor due to high correlations, while his approach maintains robustness and delivers superior out-of-sample portfolio performance. His two recent publications in the Journal of Empirical Finance (2024, 2022) demonstrate his focus on methodological innovation in high-dimensional financial datasets, particularly in handling correlated factors and exploiting stock return correlations. He has received internal research funding from City University of London's Pump Priming Fund, supporting his ongoing projects in machine learning applications in finance. While no formal advisees are listed, his role as a lecturer and research supervisor (as indicated by his CRediT contribution) suggests involvement in student mentorship. Chuanping Sun is affiliated with the Finance department at Bayes Business School, where he contributes to research and teaching in quantitative finance and econometrics.
Cecilio Angulo Bahón is a full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Industrial Engineering (ETSEIB) and the Department of Systems, Automatics and Industrial Informatics Engineering . He leads research in Artificial Intelligence and Robotics , with significant contributions to healthcare data analytics, digital twins, and human-robot collaboration. His research spans machine learning for medical data harmonization, generative adversarial networks in health informatics, and evolutionary algorithms for control systems. Recent publications focus on synthetic healthcare data generation, climate-resilient agriculture , and UMAP-based data analysis . His work bridges AI theory with practical applications in industrial and healthcare domains. Scientific awards include the Sant Jordi 2023 Digital Polytechnic Initiative Award . He has supervised doctoral candidates like Carlos Flores-Vázquez and N. Raya, with key collaborations at the IDEAI-UPC Intelligent Data Science and AI Research Group and the Institute of Robotics and Industrial Informatics (CSIC-UPC).
Bing Han is a Professor of Finance and the TMX Chair in Capital Markets at the Joseph L. Rotman School of Management, University of Toronto. He holds a PhD in Finance from UCLA and a PhD in Mathematics from the University of Chicago. Research Interests : Behavioral Finance, Asset Pricing, Investment Strategies, Risk Management, and Real Estate Finance. His work bridges mathematical rigor with empirical finance, focusing on market anomalies, investor sentiment, and liquidity dynamics. Publication Trends : His recent work explores option pricing discrepancies, social transmission of consumption beliefs, and cross-border information flows. Articles highlight applications of behavioral biases, volatility modeling, and macroeconomic forecasting using financial instruments. Scientific Awards & Honors : Lifetime Achievement Award (2021) Outstanding Paper Award (2018) Best Paper Award (2016) Outstanding Paper in Asset Pricing Research (2013) CBA Foundation Research Excellence Award (2010) Advising & Grants : Available for Masters/PhD supervision and industry projects. Secured sponsored research funding on Sentiment Risk and Hedge Fund Returns (2016-2017). Previously taught at University of Chicago, Ohio State, and University of Texas at Austin.
