Prof. Dr.-Ing. habil. Anja Drews is a Professor for Process Engineering in Life Science Engineering at HTW Berlin - University of Applied Sciences. She specializes in membrane processes , bioprocess engineering , and interfacial catalysis within liquid multiphase systems. Education: Dipl.-Ing. (1997), Dr.-Ing. (2004) in Process Engineering from TU Berlin Academic Career: Research Assistant at TU Berlin (2004-2008), Departmental Lecturer at University of Oxford (2009), Habilitation in Process Engineering (2010) Her research focuses on: Multiphase Reaction Engineering - Pickering emulsions Mechanistic Modeling - Filtration kinetics Membrane Bioreactors - Fouling mitigation Fluid Dynamics - Bubble-induced shear stress Biocatalytic Process Design - Enzymatic membrane reactors Carbon Capture - Direct air capture technologies Recent publications highlight trends in: Interfacial enzyme catalysis within Pickering emulsions Quantitative analysis of multiphase systems Membrane fouling mechanisms in bioreactors Process intensification through colloidal stabilization Temperature effects on nanofiltration performance Integration of reaction and separation processes
Kristoffer Hylander is a Professor in Plant Ecology at Stockholm University’s Department of Ecology, Environment and Plant Sciences. His research focuses on landscape ecology in boreal forests and tropical mosaic landscapes, emphasizing microclimate dynamics, climate change adaptation, and biodiversity conservation in human-modified ecosystems. He leads projects on forest biodiversity resilience, invasive species management, and coffee agroforestry systems in Ethiopia. Current research themes include forest microclimate buffering under climate change Agroforestry biodiversity and ecosystem services Climate refugia identification and management Species interaction dynamics in fragmented landscapes Recent publications analyze boreal forest fungal responses to drought, microclimate-driven plant community shifts, and Ethiopian coffee agroforestry systems. His work integrates field experiments with multi-scale modeling, emphasizing practical conservation strategies in managed forest landscapes.
Nikos E. Frangos is a Professor in the Department of Statistics at Athens University of Economics and Business (AUEB), School of Information Sciences and Technology. His research focuses on statistics, stochastic analysis, actuarial science, and pension fund valuation. He has published extensively in journals such as ASTIN Bulletin, Stochastic Processes and their Applications, and Insurance Mathematics & Economics. His work addresses applications in finance, insurance, and risk management. Academic Degrees: B.Sc. in Mathematics (1978, University of Athens), M.Sc. (1981) and Ph.D. (1984) in Mathematics from Ohio State University. Frangos' research emphasizes stochastic differential equations, reinsurance strategies, bonus-malus systems, and applications of Wiener chaos expansions. His recent publications explore finite mixture models, Sichel distribution, and hyperbolic SPDEs. He has taught undergraduate and graduate courses including Stochastic Processes , Insurance Mathematics , and Stochastic Finance , and participated in staff exchanges with Finland, Belgium, and Turkey. Scientific Awards: Best 2002 ASTIN paper award for "Optimal Bonus-Malus Systems" from the Casualty Actuarial Society, USA.
Ola Henfridsson is a Professor and Schein Family Endowed Chair at the Miami Herbert Business School , University of Miami, affiliated with the Business Technology Department . He serves as Associate Dean for Online Business Programs , combining leadership with research excellence. His research focuses on digital innovation , blockchain technologies , and platform ecosystems , exploring how organizations transform through decentralized systems and human-machine collaboration. Key areas include smart contracts , DAOs (Decentralized Autonomous Organizations) , and polycentric governance models . Recent publications analyze blockchain's impact on organizational structures, collective coordination, and digital commons management. He co-edited a 2025 Hawaii International Conference on System Sciences minitrack on Web3 technologies, and his 2024 MIS Quarterly paper on DAOs reveals mechanisms for sustaining collective action in decentralized finance. Scientific Awards: Schein Family Endowed Chair Henfridsson's work bridges theoretical rigor and practical insights, addressing challenges in transitioning from centralized to decentralized systems while maintaining organizational stability. His studies span both technical and socio-organizational dimensions of blockchain adoption and platform ecosystem dynamics.
Marco Mazzarisi serves as an Assistant Professor in the Department of Mechanics, Mathematics and Management at the Polytechnic University of Bari, Italy, specializing in Manufacturing Technology and Systems (ING-IND/16 classification). Based at Via Orabona 4, 70125 Bari, he can be contacted via marco.mazzarisi@poliba.it or the departmental line +39 080 596 3522. His research centers on laser-based additive manufacturing processes, with primary expertise in Laser Metal Deposition (LMD) and Directed Energy Deposition. Key investigation areas include real-time process monitoring using coaxial infrared systems and off-axis optical techniques, defect detection (particularly subsurface voids), melt pool dynamics analysis, and sustainability assessment through exergetic analysis. His work focuses on nickel-based superalloys (Inconel 718) and stainless steels (AISI 316L), addressing critical challenges in geometric accuracy, energy consumption, and material compatibility in hybrid manufacturing. Analysis of his 2020-2025 publications reveals consistent innovation in LMD monitoring methodologies. His research demonstrates strong interdisciplinary integration between thermal physics, optical engineering, and sustainable manufacturing principles. Notable contributions include the development of off-axis monitoring frameworks, causal models for void prediction, and exergy-based sustainability metrics that bridge process quality with environmental impact assessment. Scientific awards: No awards, fellowships, or medals are documented in the provided materials. Advising and grants: No information regarding graduate student supervision, research grants, or funding sources is provided in the source text. Laboratory facilities: The text does not specify any dedicated laboratories, research teams, or collaborative groups associated with Dr. Mazzarisi's work.
Jon Phillips is a Senior Lecturer in Sustainable Development at the Department of Development Studies , SOAS, University of London. His work bridges political economy and geography to analyze power dynamics in environmental change management, focusing on fossil fuel economies and low-carbon transitions in African urban contexts. PhD in Geography, King's College London Postdoctoral Researcher in Geography, University of Exeter Lecturer in Development Studies, University of Cambridge His research examines how environmental governance reproduces or mitigates inequalities, with case studies in oil production (Ghana), electricity generation (Kenya), carbon markets (India), urban infrastructure (South Africa), and charcoal economies (Uganda). He emphasizes collaborative research with community organizers and municipal governments. Recent publications include analyses of South African energy governance (2024), African charcoal politics (2023), and global just transitions (2022). He convenes the MSc International Development (Online) program and teaches climate change mitigation, energy transitions, and urban development.
Cori Richards Zawacki serves as Professor of Biological Sciences at the University of Pittsburgh and Director of the Pymatuning Lab of Ecology, a biological field station on Lake Pymatuning in Northwest Pennsylvania. Her leadership facilitates diverse water-related research while advancing amphibian conservation science. Her academic training includes a PhD in Ecology and Evolutionary Biology and BS in Biology/Chemical Engineering from the University of Michigan, followed by postdoctoral work at the Smithsonian Tropical Research Institute and UC Berkeley. Dr. Richards-Zawacki's research centers on amphibian disease ecology and evolutionary resilience , with primary focus on Batrachochytrium dendrobatidis pathogenesis. Her lab investigates: Host-pathogen-environment interactions at population scales Climate change impacts on amphibian development and immunity Evolutionary mechanisms of reproductive isolation Conservation strategies for endangered amphibians Recent publications (2024-2025) reveal strong emphasis on disease resilience mechanisms , molecular detection tools , and multi-scale environmental drivers . Key trends include integration of CRISPR diagnostics, eDNA monitoring, and cross-scale resilience frameworks. She actively recruits undergraduate and graduate students for field and laboratory research through the Richards-Zawacki Lab, which operates under the Resilience Institute Bridging Biological Training and Research. The lab maintains critical infrastructure at the Pymatuning Lab of Ecology for long-term amphibian studies.
Javier Auyero is the Joe R. and Teresa Lozano Long Professor in Latin American Sociology at the University of Texas at Austin, where he serves in the College of Liberal Arts. His research focuses on urban marginality, political ethnography, and collective violence, funded by prestigious institutions including the Guggenheim Foundation, American Council of Learned Societies, and National Science Foundation. He directs the Urban Ethnography Lab and edits the Global and Comparative Ethnography Series at Oxford University Press. Key Research Interests: Political ethnography Urban politics and violence Environmental sociology State-criminal collusion Survival strategies in poverty Scientific Awards: Guggenheim Fellowship American Council of Learned Societies Fellowship National Science Foundation Grant Harry Frank Guggenheim Foundation Grant Public Engagement: Regularly contributes to public debates via op-eds in New York Times , Clarín , and Página/12 , as well as media appearances on radio and television discussing violence, poverty, and state dynamics.
Laurent Simula is a Professor of Economics at GATE (Groupe d'analyse et de théorie économique) within École normale supérieure de Lyon, where he conducts research in public economics with a focus on taxation and income inequality. His work examines optimal tax design, migration effects on tax systems, and the measurement of tax inefficiencies. Dr. Simula's research interests center on public economics, particularly optimal income taxation, fiscal policy design, and the relationship between taxation and inequality. His work explores how tax systems can be structured to balance efficiency and equity considerations, with particular attention to nonlinear tax schedules, income shifting behaviors, and the impact of high-skilled migration on national tax policies. He has made significant contributions to understanding the marginal deadweight loss in nonlinear tax systems and the role of rank-dependent social welfare functions in optimal taxation. His publication record shows a strong focus on the intersection of tax theory and practical policy design, with numerous articles in top economics journals. His research often combines theoretical modeling with numerical simulations calibrated to real-world data, particularly US tax data. He has developed innovative approaches to analyzing tax systems through the lens of rank-dependent welfare functions and has examined how income shifting behaviors along both intensive and extensive margins affect optimal tax design. Dr. Simula coordinates the MIDDLECLASS project, which received a 48-month grant from the French National Research Agency. This project involves collaboration between GATE – ENS de Lyon, Aix Marseille School of Economics, and CREST-Ecole Polytechnique, focusing on middle-class economic dynamics. He also organizes the PPD@ENSLyon workshop series, which brings together researchers working on front-line issues in public and political economy, with past editions focusing on Taxation and Inequality, the Political Economy of Migration, and the Economics of Social Media.
Gene Zak serves as Associate Professor in the Department of Mechanical and Materials Engineering within Queen's University's Faculty of Engineering and Applied Science. His research centers on advanced laser manufacturing processes, with specialization in polymer joining and ceramics machining. Current facilities include the Laser Ceramic Processing Laboratory and Rapid Laminated Tooling Laboratory. Dr. Zak's research focuses on laser transmission welding of thermoplastics , examining light-material interactions, thermal dynamics, and weld integrity. Key areas include optical property characterization of polymers (glass fiber effects, crystallinity, carbon black), process parameter optimization (scan paths, intensity distribution), and defect analysis (read-through, degradation). His work extends to laser ceramics machining for precision applications and historical contributions in robotic systems. Analysis of his 15 most recent publications (2011-2022) reveals consistent advancement in computational modeling of laser-polymer interactions, with increasing emphasis on multi-physics simulations and defect prediction. The research trajectory shows evolution from experimental parameter studies toward sophisticated thermal-optical modeling for industrial process control. Dr. Zak directs the Laser Ceramic Processing Laboratory housing a three-source system (UV 7-W, Nd:YAG 100W, CO2 250W lasers) with 6-axis motion control, operational 2004-2015. His Rapid Laminated Tooling Laboratory supports layered manufacturing research, including embedded sensor development and composite fabrication techniques.
James A. Duffy is an Associate Professor of Economics at the University of Oxford and the Andrew Glyn Tutorial Fellow at Corpus Christi College. He joined Corpus in 2016 after a postdoctoral fellowship at Nuffield College, Oxford, and holds dual appointments in the Department of Economics and his college. His educational background includes: PhD in Economics from Yale University (2014) Undergraduate studies in Economics and Mathematics at the University of Sydney Duffy's research centers on econometrics, with emphasis on macroeconometrics and time series analysis. He develops statistical methods for economic models involving nonlinear or highly persistent time series data, common in macroeconomics and finance. His work spans econometric theory , mathematical statistics , cointegration , and structural macroeconomic models , addressing inference challenges in strongly dependent processes. His 2016-2024 publications in premier journals reveal consistent innovation in time series methodology, particularly in unit root processes, fractional integration, and nonlinear cointegration. Key contributions include Tobit modeling for dynamic systems, robust inference for weakly nonstationary data, and discrete choice estimation techniques, bridging theoretical rigor with empirical applications. At Oxford, Duffy serves as course convenor for Quantitative Economics and lectures for the MPhil programme on instrumental variables, generalized method of moments, and maximum likelihood estimation. He also provides undergraduate tutorials in Microeconomics and Quantitative Economics at Corpus Christi College, integrating research insights into teaching.
Dr. Yuzhu Li is a Professor at the Department of Decision & Information Sciences , Charlton College of Business , University of Massachusetts Dartmouth . Her expertise spans Digital Transformation , Blockchain , Information Systems Development , and Project Management . She teaches courses in Customer Analytics , Business Analytics , and Agile Development , emphasizing CRM strategies , Data Mining , and Information Visualization . PhD in Business Administration, University of Central Florida (2008) Master of Technology Management , Washington State University (2002) BA in Information Systems , Nankai University (1999) Her research focuses on Emerging Technologies like blockchain and AI, Behavioral Project Management , and E-commerce frameworks. Key themes include Team Resilience , Control Systems in Interorganizational Teams , and Digital System Security , with recent articles analyzing Bitcoin vulnerabilities and collaborative project governance. Dr. Li serves as Treasurer of the New England Association of Information Systems Chapter, an Editorial Review Board Member of the Project Management Journal, and Associate Editor of the Nankai Business Review International. She actively contributes to the academic community through roles in international conferences and editorial committees.
Sara Miner More is an Associate Teaching Professor in the Department of Computer Science at Johns Hopkins University, where she has served since 2014. As of 2019, she is the Director of Gateway Computing. Her research focuses on computer science education, cryptography, and the foundations of computing. Ph.D. in Computer Science (2003), UC San Diego MS in Computer Science (1998), UC San Diego BS in Computer Science and Mathematics (1996), University of Dayton Her research interests span: Computer science pedagogy and curriculum development Information flow security and cryptographic protocols Formal logic and dependency relations in computing Notable trends in her publications include: Foundational cryptography research (1999-2002) Transition to computer science education and logic (2005-2012) Collaborative security models with hypergraph applications Scientific awards: Robert B. Pond, Sr. Excellence in Teaching Award (2016) She teaches multiple gateway computing courses including Java and Python bootcamps, data structures, and automata theory.
Professor G L Sivakumar Babu is a distinguished academic in the Department of Civil Engineering at the Indian Institute of Science (IISc), Bangalore, where he has served as Professor since 2009, after progressing from Assistant Professor (1996-2003) to Associate Professor (2003-2009). His career spans over three decades with significant contributions to geotechnical engineering research and practice. He also serves as associate faculty with the Center for Infrastructure, Sustainable Transportation and Urban Planning (CiSTUP) and the Centre for Sustainable Technologies. His educational background includes: PhD in Geotechnical Engineering, Indian Institute of Science, Bangalore (1991) ME in Soil Mechanics and Foundation Engineering, Anna University, Madras (1987) B.Tech. in Civil Engineering, Sri Venkateswara University, Tirupati (1983) Prof. Sivakumar Babu's research focuses on risk and reliability applications in geotechnical engineering, geosynthetics and reinforced soil structures, environmental geotechnology, fibers in geotechnical engineering, earthquake geotechnical engineering, and geotechnics for disaster mitigation. His work integrates probabilistic methods to address uncertainties in soil behavior, with applications in buried pipes, foundations, slopes, retaining walls, and reinforced structures. He has significantly contributed to guidelines for soil nailing in highway engineering published by the Indian Roads Congress. His extensive publication record (over 100 journal papers and 100 conference papers) demonstrates a strong trend toward reliability-based design approaches across multiple geotechnical domains. Recent work shows increasing focus on municipal solid waste management, landfill engineering, pavement engineering with geosynthetics, and radioactive waste disposal facilities. His research consistently applies probabilistic and reliability methods to traditional geotechnical problems, bridging theoretical advances with practical engineering solutions. While specific awards aren't detailed in the provided text, his professional recognitions likely include honors related to his contributions in geotechnical engineering and reliability analysis. Prof. Sivakumar Babu has undertaken numerous consultancy projects spanning soil investigation, soil reinforcement and nailing, pavement design, geosynthetics applications, slope stabilization, and machine foundations. His industry engagement demonstrates the practical impact of his research, with projects for organizations including KSIIDC, MSIL, various sugar companies, INDAL, BPCL, IIMK, and government infrastructure projects. His international collaborations include work as a Humboldt Fellow in Germany (1999-2000) and as a Visiting Scholar at Purdue University (1995-1996), which significantly influenced his research direction toward probabilistic modeling in geotechnical engineering.
Professor Longbing Cao serves as a Professor at University of Technology Sydney (UTS) in the Faculty of Engineering and Information Technology, specifically within the Data Science Institute. He also holds the position of Distinguished Chair Professor in AI at Macquarie University and is an ARC Future Fellow (Level 3). As a pioneering researcher in AI, data science, and advanced analytics, Professor Cao founded the UTS Advanced Analytics Institute, the first data science initiative in Australia. Professor Cao's research interests span across data science fundamentals, machine/deep learning, behavior informatics, and enterprise data science applications. His work bridges the gap between theoretical research and practical implementation, focusing on non-IID learning, actionable knowledge discovery, and complex behavior modeling. His research has addressed real-world challenges in government services, finance, insurance, banking, telecommunications, transport, and e-commerce sectors. His 15 most recent publications reveal a strong trend toward addressing distributional challenges in machine learning, developing transdisciplinary AI approaches, modeling complex temporal dependencies, and advancing negative sequence analysis. His work consistently integrates theoretical foundations with practical applications, particularly in financial analytics, healthcare, and disaster resilience. Scientific Awards: Eureka Prize for Excellence in Data Science (2019) ACM Distinguished Scientist Professor Cao has made significant contributions to academic leadership and research supervision. He established world-first research degrees at UTS (Master of Analytics and PhD Thesis: Analytics), founded the IEEE Task Force on Data Science and Advanced Analytics, and served as general chair of the KDD conference in 2015 (the first edition in Australia). His funded research portfolio includes multiple ARC grants and industry collaborations focusing on complex data analytics, behavior informatics, and AI applications. He leads the Data Science Lab at UTS, which has become a prominent center for data science research in Australia. The lab focuses on developing fundamental theories and practical applications of data science, with strong industry partnerships that translate research into real-world impact. Professor Cao's leadership in establishing the annual Big Data Summit in 2012 created Australia's first platform for bridging academic research with industry and government applications.
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