Mads Stenbo Nielsen is an Associate Professor in the Department of Finance at Copenhagen Business School, affiliated with the Center for Statistics. He holds a M.Sc. in Statistics from the University of Copenhagen and a Ph.D. in Finance from CBS. His research focuses on credit risk dynamics, corporate capital structure, and default correlation modeling, with publications in journals like Journal of Financial Intermediation and Journal of Financial Econometrics . His primary research areas include credit risk analysis, corporate bond markets, and the interplay between economic cycles and financial risk. Notable contributions explore systemic risk in synthetic credit markets and the value of bond underwriter relationships. He also serves as a Portfolio Manager at BankInvest since August 2019, bridging academic and practical finance roles. Teaching responsibilities include courses on Statistics, Introductory Finance, and Term Structure Theory. His work has been presented at conferences such as the Financial Management Association International and the Paris December Finance Meeting. He contributes to the Centre for Financial Frictions and maintains external roles in financial advisory and portfolio management.
Prashant Singh is an Assistant Professor in the Department of Mechanical Engineering at Mississippi State University, where he also serves as the Assistant Director of the Industrial Assessment Center. His research is centered on advanced thermal systems, particularly in heat transfer enhancement, electronics cooling, and gas turbine internal cooling technologies. He holds a Ph.D. in Mechanical Engineering from Virginia Tech, an M.S. from Arizona State University, and a B.Tech. from the National Institute of Technology, Rourkela, India. Research Interests: His work spans Heat Transfer Enhancement , Porous Media Flows , Advanced Electronics Cooling , Thermal Interface Materials , and Thermal Energy Conversion and Storage . He employs both experimental and numerical methods to investigate thermal performance in rotating and stationary environments, with a focus on turbomachinery and compact cooling systems. The recent publications reflect a strong trend in jet impingement cooling , serpentine cooling channels , metal foams , and rotational heat transfer effects . These studies are critical for improving efficiency and reliability in gas turbines and high-power electronics. The keywords across these works include Mechanical Engineering, Thermal Engineering, Fluid Dynamics, and Materials Science, with subfields such as Coriolis force mitigation, micro-roughness, and transient thermography. Scientific Awards: Warren M. Rohsenow Award 2017 (ASME IMECE) YETEP Award 2018 and 2017 (ASME IGTI) IGTI Travel Award 2016 New Horizon Fellowship (2015–16) Darryl E. Metzger Memorial Fellowship (2013–14) Outstanding Reviewer, International Journal of Heat and Mass Transfer Advising and Grants: While specific student names are not listed, his graduate research assistant roles and current faculty position indicate active mentorship of graduate students. He has secured recognition through competitive fellowships and awards, suggesting strong grant-writing ability and research impact. His collaborations with Dr. S.V. Ekkad and others indicate team-based research in high-pressure thermal environments. Labs and Teams: He is affiliated with the Industrial Assessment Center and conducts experimental thermal research involving transient liquid crystal thermography, jet impingement rigs, and rotating heat transfer facilities. His work often involves interdisciplinary teams focused on energy systems, advanced manufacturing, and sustainable thermal management.
Dr. Kelly Crossley is a Senior Research Fellow at the Fetal and Neonatal Health Research Group, The Ritchie Centre, Hudson Institute of Medical Research, and an Adjunct Senior Research Fellow in the Department of Obstetrics and Gynaecology at Monash University, within the Faculty of Medicine, Nursing and Health Sciences. She is actively involved in perinatal research and is accepting PhD students. Senior Research Fellow – Hudson Institute of Medical Research Adjunct Senior Research Fellow – Department of Obstetrics and Gynaecology, Monash University Dr. Crossley earned a Bachelor of Science (Honours) from Monash University (1991–1995), focusing on fetal behavioural states regulated by progesterone. Her research centers on perinatal physiology, particularly the respiratory and cardiovascular transition at birth. She investigates mechanisms of brain injury in newborns and develops interventions to improve spontaneous breathing in preterm infants. Her work employs advanced preclinical models in rabbits and sheep and leverages synchrotron imaging from Australian and Japanese facilities. Key areas include neonatal resuscitation, congenital diaphragmatic hernia, transient tachypnoea, and mechanical ventilation. The recent publications highlight a strong trend in preclinical neonatal physiology, focusing on resuscitation techniques, lung development, and circulatory recovery. Her work bridges animal models and clinical translation, especially in oxygenation strategies and cord clamping. Reducing respiratory distress after caesarean delivery Phase-contrast neuroimaging for early detection of brain injury Improving neonatal transition in CDH Reducing pulmonary hypertension in CDH Mechanisms to improve newborn respiratory function via X-ray imaging Dr. Crossley has led multiple research projects as a Primary Chief Investigator and collaborates widely with clinicians and scientists. She has secured active and completed grants from diverse sources, including Congenital Diaphragmatic Hernia Australia. While no awards are listed, her leadership in high-impact, peer-reviewed research underscores her scientific contributions. She is a key member of the Fetal and Neonatal Health Research Group at The Ritchie Centre, Hudson Institute, where she conducts collaborative, multidisciplinary research integrating physiology, imaging, and clinical 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.
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.
Nathan Garland is a Lecturer in Applied Mathematics and Physics at Griffith University, Australia. He is affiliated with the Queensland Quantum and Advanced Technologies Research Institute (QUATRI) and the Centre for Quantum Dynamics. Prior to joining Griffith, Garland conducted postdoctoral research at Los Alamos National Laboratory and served as sessional teaching staff at James Cook University. Education: PhD in Electrical and Electronic Engineering and Mathematics from James Cook University B.Eng (Hons) and B.Sc in Electrical and Electronic Engineering and Mathematics from James Cook University His research focuses on computational plasma modeling, with applications in low-temperature plasmas, tokamak fusion, electron transport in liquids, and deep learning integration for plasma simulations. He combines advanced numerical methods with experimental validation to address challenges in energy systems and plasma medicine. Recent publications highlight trends in plasma physics, machine learning-driven cross-section determination, and electron transport across gas-liquid interfaces. Garland contributes to fusion energy discourse through media appearances and peer review roles in journals like Plasma Sources Science and Technology and European Physical Journal D . Grants: Quantum Mechanics: The Missing Link? - $1.2M LANL LDRD grant (2019-2021) Digitally Disrupted Demos - $7.5K Griffith Sciences grant (2022) Supervision: Principal Supervisor for PhD project 'Better Modelling of Solvents' Associate Supervisor for PhD projects on landscape evolution modeling and non-equilibrium electron scattering Collaborations: Member of Tokamak Disruption Simulation (TDS) SciDAC Center IAEA Fusion Energy Conference Program Committee member
Professor Anthony Neuberger is a faculty member at Bayes Business School, City, University of London, where he has served as Professor of Finance since 2013. Previously, he held academic positions at Warwick Business School (as Chair and Head of the Finance Group) and London Business School (as Associate Professor and Academic Director of the full-time Masters in Finance programme). His career also includes policy work at the UK Department of Energy and consulting for government departments, banks, and stock exchanges. PhD, London Business School MBA (Distinction), London Business School BA, University of Cambridge Neuberger's research focuses on financial economics , particularly option pricing , market microstructure , and pension policy . His work explores volatility risk premia in currency markets, skewness in equity markets, and robust hedging strategies under model uncertainty. He has published extensively in top journals like the Journal of Finance , Review of Financial Studies , and Finance and Stochastics . His recent articles highlight trends in currency volatility premia , equity market skewness , and liquidity risk . These works span disciplines like quantitative finance, mathematical finance, and risk management, with subfields including forward start options, stochastic volatility, and portfolio insurance. Neuberger is a prolific author with over 20 journal articles and book chapters. His collaborations include researchers like David Hobson and Roman Kozhan, and his consulting work bridges academia and industry.
Daniel W Armstrong is a Professor at the University of Texas at Arlington in the Department of Chemistry and Biochemistry. With over 35 years of experience, he is a pioneering figure in chiral recognition, enantiomeric separations, and the biological relevance of D-amino acids. His work has led to over 740 publications, 35 patents, and 560 invited seminars worldwide. Developed first chiral recognition mechanism by cyclodextrins First to use macrocyclic antibiotics as chiral selectors Synthesized most new ionic liquids (ILs) globally Created ultra-fast separation techniques now standard in analytical chemistry Contributed to FDA 1992 guidelines on chiral drug separation His research focuses on chiral separations, ionic liquids, and the role of D-amino acids in biological systems. He has commercialized over 30 HPLC and GC columns, transforming analytical chemistry and pharmaceutical analysis. Recent publications demonstrate continued innovation in chiral chromatography, biomarker analysis, and AI-driven separation optimization. His grants include industry collaborations with Merck, Alcon, and Sigma-Aldrich, emphasizing practical applications of his work. Scientific honors include multiple lifetime achievement awards, fellowships in the Royal Society of Chemistry and American Chemical Society, the Chirality Medal, and induction into the National Academy of Inventors. He has mentored over 100 PhD students, many from first-generation college backgrounds.
David Lynn is a Professor in the Department of Chemical & Biological Engineering at the University of Wisconsin-Madison's College of Engineering, with a joint affiliation in Materials Science & Engineering. His laboratory focuses on interdisciplinary research involving soft materials, nanostructured interfaces, and biomaterials for biomedical applications. Dr. Lynn holds a PhD from the California Institute of Technology (1999) and a BA from the University of South Carolina (1994). Research Interests: His group designs polymers, liquid crystals, and responsive surfaces for applications in drug/gene delivery, antifouling coatings, biosensing, and antimicrobial systems. Key themes include the development of slippery liquid-infused porous surfaces (SLIPS), peptide-based therapeutics, and machine learning-enhanced diagnostic platforms. Research Trends: Recent publications (2022-2025) demonstrate a strong focus on liquid crystal-based sensors, antimicrobial peptide design, and scalable fabrication of functional coatings. Machine learning integration for material optimization and amphiphile detection represents an emerging theme, alongside innovations in catheter-mediated gene delivery and biomass-derived pharmaceuticals. Awards and Honors: Kellett Mid-Career Award (2020) Bluemke Professorship (2016) Sloan Research Fellow (2007) Beckman Young Investigator (2003) TR100 Top Innovator (2003) Romnes Faculty Fellowship (2014) Teaching and Advising: He teaches graduate/undergraduate courses including Polymer Science, Synthetic Organic Materials, and oversees thesis research. His lab provides interdisciplinary training for students in chemistry, engineering, and pharmaceutical sciences, emphasizing collaborative problem-solving. Laboratory: The Lynn Lab develops advanced materials for biotechnology and medicine, with facilities for polymer synthesis, nanomaterial characterization, and biological testing. Current projects include liquid crystal emulsions for pathogen detection and peptide therapeutics for antifungal applications.
Birgitte Zeuner is an Associate Professor at the Department of Biotechnology and Biomedicine , Technical University of Denmark, specializing in Protein Chemistry and Enzyme Technology . Her research focuses on Enzymatic Synthesis Technology with particular emphasis on carbohydrate-active enzymes. Active supervisor in Engineering alkenal reductase reversibility (2025-2028) Main supervisor in Regioselectivity in enzymatic carbohydrate synthesis (2024-2027) Supervisor in Enzymatic xyloglucan modification (2018-2022) Recent 54 publications highlight her work on glycosylation, human milk oligosaccharides, and transglycosylation. She has received significant attention in Mendeley readership and peer review platforms. Current projects explore: Enzyme engineering for biomass upgrading Sustainable biocatalytic processes using ionic liquids Gut microbiome interactions with plant-derived carbohydrates Her research aligns with UN Sustainable Development Goals for biocatalytic applications in health and sustainability.
Joakim Jaldén is a Professor at the Division of Information Science and Engineering, School of Electrical Engineering and Computer Science (EECS), KTH Royal Institute of Technology. He holds a Ph.D. in Electrical Engineering from KTH (2007) and completed post-doctoral studies at Vienna University of Technology (2007-2009). With affiliations at Stanford University and ETH Zürich, his academic journey reflects global expertise. 2002: M.Sc. in Electrical Engineering, KTH 2007: Ph.D. in Electrical Engineering, KTH 2007-2009: Post-Doctoral Researcher, Vienna University of Technology Jaldén's research spans Signal Processing , Wireless Communications , and Biomedical Data Analysis . He pioneered MIMO communications and later developed ELISpot/FluoroSpot analysis algorithms commercialized by Mabtech AB. His work on cell migration tracking (IEEE ISBI 2012) and distributed optimization (ECO-PANDA method) demonstrates interdisciplinary impact. Key publication trends include Hidden Markov Models for DNA sequencing, Reinforcement Learning in communication systems, and Low-Complexity Beamforming for MU-MIMO networks. His 2024 work on mmWave MIMO beam coherence showcases continued leadership in wireless channel modeling. Scientific recognition includes: IEEE Signal Processing Society 2006 Young Author Best Paper Award Ingvar Carlsson Career Award 2009 (Swedish Foundation for Strategic Research) IEEE ISBI 2012 Best Paper Award Bitplane Awards (2013-2015) for cell tracking challenges As Program Director of KTH's 5-year Electrical Engineering Degree Program (CELTE) since 2016 and Vice-Chair of EECS Faculty Board , Jaldén leads academic initiatives. His collaborations with industry (e.g., Mabtech AB) and roles as examiner for advanced courses in communication systems highlight his educational impact.
Joseph Maciejko is an Associate Professor in the Department of Physics at the University of Alberta and holds a Tier-II Canada Research Chair in Condensed Matter Theory. As interim director of the Edmonton node of Quantum Horizons Alberta , he leads efforts to build a world-class theoretical quantum physics team. BSc in Engineering Physics from École Polytechnique de Montréal (2004) MSc in Physics from McGill University (2006) PhD in Physics from Stanford University (2011) His research focuses on quantum materials , particularly hyperbolic lattices and topological phases of matter , using mathematical models to predict novel material properties. Recent work includes hyperbolic Chern insulators and non-Abelian semimetals , bridging condensed matter physics with pure mathematics like algebraic geometry. Key trends in his publications (2021-2025) include: Quantum criticality in Dirac fermion systems Topological superconductivity and Majorana modes Hyperbolic geometry applications to band theory Floquet engineering for quantum computing Scientific Awards : Tier-II Canada Research Chair in Condensed Matter Theory. Maciejko emphasizes collaboration, mentoring, and interdisciplinary approaches, working with teams to explore quantum materials' fundamental properties and potential technological applications through initiatives like Quantum Horizons Alberta .
David Go is the Vice President and Associate Provost for Academic Strategy at the University of Notre Dame, where he also holds the Viola D. Hank Professorship in Aerospace and Mechanical Engineering. He oversees implementation of the University Strategic Framework and manages faculty appointment processes, with administrative oversight of institutes including the Lucy Institute for Data and Society and the Fitzgerald Institute for Real Estate. His research focuses on plasma science, heat transfer, fluid dynamics, and chemical analysis, with significant contributions to plasma-electrochemistry and sustainable chemical synthesis. Education: B.S. (2001) and M.S. (2004) from University of Notre Dame, Ph.D. (2008) from Purdue University His work explores plasma-liquid interfaces, solvated electron dynamics, and plasma-assisted catalysis, particularly for light hydrocarbon conversion. Recent publications highlight advancements in non-aqueous plasma electrolysis, machine learning-enhanced plasma sintering, and interfacial transport phenomena. Awards include the Air Force Young Investigator Award, NSF CAREER award, and multiple honors for teaching and innovation. Current research trends integrate plasma physics with chemical engineering and materials science, focusing on sustainable energy solutions and microscale manufacturing. Scientific recognitions include: Fellow of the American Society of Mechanical Engineers Senior Member of IEEE IEEE Early Achievement Award First-Source Bank Commercialization Award Go has supervised graduate studies and received patents for technologies in plasma-assisted synthesis and microfluidic diagnostics. His leadership roles involve committees addressing academic governance, risk management, and foreign influence in research.
Sophie S. Berkman is an Assistant Professor in the Department of Physics & Astronomy at Michigan State University. Her research focuses on experimental particle physics, particularly neutrino interactions and the development of liquid argon time projection chamber (LArTPC) detectors. Her work involves precision measurements of neutrino-argon cross sections critical for the Deep Underground Neutrino Experiment (DUNE). She contributes to Fermilab's MicroBooNE and ICARUS detectors within the Short-Baseline Neutrino program, analyzing data to understand neutrino properties and detector performance. Her research spans charged-current and neutral-current interactions, pion production mechanisms, and searches for physics beyond the Standard Model through sterile neutrino and dark sector investigations. Recent publications demonstrate leadership in neutrino interaction vertex reconstruction using deep learning, liquid argon purity monitoring, and supernova neutrino detection capabilities. Her work on trigger systems and software development directly supports DUNE's operational readiness and scientific objectives in neutrino oscillation physics. She actively participates in international collaborations including DUNE, MicroBooNE, and ICARUS, contributing to detector calibration, event reconstruction algorithms, and cross-section measurements essential for next-generation neutrino experiments.
Dr. Alexa Simone Kuenstler is an Assistant Professor in the Department of Chemical and Biomolecular Engineering at the University of Illinois. Her research focuses on advanced polymer chemistry, particularly in liquid crystal materials, dynamic networks, and photopolymerization techniques. She works at the intersection of materials science and chemical engineering, with expertise in thiol-ene reactions and 3D printable systems. Recent research highlights include: Controlling reaction kinetics in thiol-ene photopolymerizations (2025) Modeling degradation mechanisms in thioester networks (2024) Developing thermally reversible 3D printable cast molds (2024) Engineering crystallization processes in dynamic polymer systems (2023) Creating mechanically aligned liquid crystal networks via Diels-Alder chemistry (2023) Her work has been cited across multiple platforms and is actively discussed in academic networks. She can be contacted at akuenstler@illinois.edu .
