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Hans-Georg BeyerView profile

Research Professor

• Evolutionary Computation
• Evolution Strategies
• Genetic Algorithms
• +10 more

Hans-Georg Beyer is a Research Professor for Operations Research, Modeling and Simulation at the Vorarlberg University of Applied Sciences in Dornbirn, Austria, where he leads research at the Research Center Business Informatics (formerly Center Process and Product Engineering). He is also a Co-opted Member of the Faculty of Engineering, Computer Science, and Psychology at Ulm University, Germany. Previously, he held positions at the Chair of Systems Analysis at the Department of Computer Science of the University of Dortmund, Germany, including as a Professor of Computer Science. Dr. Beyer's research focuses on Evolutionary Computation, particularly Evolution Strategies and Genetic Algorithms, with significant contributions to theoretical analysis and practical applications. His work spans Computational Intelligence, Natural Computing, and various optimization techniques including noisy and constrained optimization. He has made substantial advancements in Matrix Adaptation Evolution Strategies (MA-ES), developing algorithms that efficiently handle large-scale and constrained optimization problems by learning correlations between decision variables. His recent publications demonstrate a clear trend toward analyzing Evolution Strategies in highly multimodal landscapes, with particular focus on the Rastrigin and Griewank functions as benchmark test cases. Beyer's research has evolved from theoretical foundations to practical implementations, with a strong emphasis on understanding population sizing, self-adaptation mechanisms, and convergence properties in complex optimization scenarios. His work bridges theoretical analysis with practical algorithm design, making significant contributions to the field of evolutionary computation. Editor-in-Chief of Journal Evolutionary Computation (MIT-Press, 2010-2016) Associate Editor of IEEE Transactions on Evolutionary Computation (1997-2021) Member of VDI/VDE GMA Fachausschuss 5.14 Computational Intelligence Member of ACM Special Interest Group for Genetic and Evolutionary Computation Author of the Springer book "The Theory of Evolution Strategies" Beyer has led several significant research projects including the FWF project "Evolutionary Global Optimization in Highly Multimodal Landscapes" (P 33702) and the FWF project "Evolution Strategies for Constrained Optimization." His research group has developed practical implementations of Evolution Strategies, including fast MA-ES with O(N^2) complexity, Meta MA-ES (Bi-Population MA-ES), and Limited Memory MA-ES (LM-MA-ES) for large-scale optimization problems. He regularly contributes tutorials at major conferences including GECCO and WCCI, sharing his expertise on Matrix Adaptation Evolution Strategies with the broader research community.

• Virology
• Immunology
• HIV Research
• +4 more

Professor Penny Moore is the South African Research Chair of Virus-Host Dynamics, Research Professor, and Academic Head of the Divisions of Virology and Immunology at the University of the Witwatersrand and the National Institute for Communicable Diseases (NICD) in South Africa. She also serves as Director of the Antibody Immunity Research Unit, an extramural unit of the SA Medical Research Council, and holds a joint appointment as Honorary Senior Scientist in Virus-Host Dynamics at the Centre for the AIDS Programme of Research (CAPRISA), University of KwaZulu-Natal. Professor Moore earned her PhD from University College London and has established herself as a leading researcher in viral immunology. Her educational background has provided the foundation for her extensive work in understanding virus-host interactions, particularly in the context of HIV and emerging pathogens like SARS-CoV-2. Her research focuses on HIV and SARS-CoV-2 vaccine discovery, combining expertise in Virology, Immunology, and Bioinformatics. Moore's work centers on understanding neutralizing antibodies and their interplay with evolving viruses, with particular emphasis on how these antibodies can be harnessed for vaccine development. Her laboratory investigates the complex dynamics between viral pathogens and host immune responses, seeking to identify vulnerabilities that can be targeted for therapeutic and preventive interventions. An analysis of Professor Moore's recent publications reveals a strong focus on both HIV and SARS-CoV-2 research, with particular attention to neutralizing antibody responses, vaccine development, and viral evolution. Her work spans basic science investigations of antibody-virus interactions to clinical studies evaluating vaccine efficacy against emerging variants. A notable trend is her laboratory's contribution to understanding how prior infection and vaccination shape immune responses to new viral variants. NRF B1 Research Rating South African Research Chair in Virus-Host Dynamics Professor Moore has secured significant research funding from multiple prestigious sources including the NIH, South African Medical Research Council, International AIDS Vaccine Initiative, SA National Research Foundation, and Bill and Melinda Gates Foundation. She supervises numerous postgraduate students and post-doctoral fellows, demonstrating a strong commitment to mentorship and capacity development in scientific research. Her laboratory serves as a training ground for the next generation of virologists and immunologists in South Africa. Moore directs a substantial research operation comprising more than 15 scientists and 10 postgraduate students working collaboratively across multiple institutions. Her Antibody Immunity Research Unit functions as a hub for cutting-edge research on viral pathogens, with particular expertise in characterizing antibody responses to HIV and SARS-CoV-2. The team's multidisciplinary approach integrates wet lab virology with computational analysis to tackle complex questions in viral immunology.

Onno BokhoveView profile

Professor

• Geophysical fluid dynamics
• Computational fluid dynamics
• Laboratory experiments
• +7 more

Professor Onno Bokhove holds the Chair in Geophysical Fluid Dynamics at the School of Mathematics, Faculty of Engineering and Physical Sciences, University of Leeds. With extensive expertise in applied mathematics of geophysical fluid dynamics, he bridges theoretical mathematical approaches with practical environmental solutions, particularly in flood mitigation and wave dynamics. His research encompasses: Design and testing of laboratory configurations for mathematical model validation Computational techniques for PDEs using discontinuous Galerkin FEM Hamiltonian fluid dynamics frameworks Idealised models for weather prediction Hydraulic solutions of hyperbolic systems Flood mitigation strategies through flood-excess volume analysis Analysis of his recent publications reveals a strategic shift toward practical applications of geophysical fluid dynamics with significant societal impact. Professor Bokhove pioneered the concept of "flood-excess volume" as a communication tool for flood mitigation effectiveness, which evolved from the Wetropolis demonstrator into a REF2021 Impact Case Study. His work increasingly integrates mathematical rigor with policy-relevant applications, particularly through the EU-funded Eagre project on high-seas wave-impact modeling, where he serves as principal investigator collaborating with MARIN (Maritime Research Institute Netherlands). Professor Bokhove has supervised numerous PhD students across diverse fluid dynamics applications: Tom Kent (2014-2016): EPSRC Case Met Office project with Steve Tobias Floriane Gidel (2015-2018): EU project with Mark Kelmanson Tomasz Salwa (2015-2019): EU project with Mark Kelmanson Luca Cantarello: NERC Case with Met Office Current students Yang Lu and Wajiha Rehman working on the EU Eagre project His research has been supported by significant grants including: EU European Industrial Doctorates project "Eagre" (2020-2023, project 859983) NERC-funded projects on flood mitigation EPSRC Case projects with the Met Office REF2021 Impact Case Study funding Professor Bokhove leads research teams within the Leeds Institute for Fluid Dynamics focusing on: The Wetropolis flood demonstrator project, now a policy-relevant analytical framework The Eagre project developing numerical wavetanks for extreme wave modeling Collaborations with MARIN on wave-energy devices and offshore structures

Sławomir BieleckiView profile

Professor

• Energy efficiency in power networks
• Rational use of energy
• Reactive power in Electric Power Systems
• +7 more

Sławomir Bielecki is a Professor at the Department of Rational Use of Energy within the Faculty of Power and Aeronautical Engineering at Warsaw University of Technology. His extensive academic career focuses on critical aspects of modern power systems, energy efficiency, and smart grid technologies. As an active researcher and educator, he contributes significantly to both theoretical advancements and practical applications in electrical power engineering. Professor Bielecki's research centers on energy efficiency in power networks , rational use of energy , reactive power management , smart grids , and the integration of renewable energy sources . His work bridges traditional power engineering with modern computational intelligence methods, addressing contemporary challenges in power quality, prosumer systems, and intelligent building technologies. His research has evolved to address emerging issues like the impact of electric vehicles on grid stability and the effects of global events like the COVID-19 pandemic on residential electricity consumption patterns. The analysis of his recent publications reveals a strong focus on practical applications of power system theory, with increasing attention to renewable energy integration, climate policy impacts, and the transformation of traditional power systems. His work spans both technical aspects of power engineering and broader policy considerations, demonstrating a comprehensive approach to energy system challenges. The Rector of Warsaw University of Technology Award for scientific achievements in 2019 (II grade) The Rector of Warsaw University of Technology Award for didactic achievements in 2019 (II grade) Three-time recipient of EU scholarship programs for young academics Multiple Rector's Awards for scientific and didactic achievements (2008-2015) Winner of national thesis competitions organized by the Association of Polish Electrical Engineers As an educator, Professor Bielecki teaches Electric Power Systems courses and mentors students on diploma theses related to energy efficiency, power systems, and reactive power management. His organizational contributions include serving as Secretary of the Scientific Council for Environmental Engineering, Mining and Energy, representing Warsaw University of Technology in the Polish Committee for Standardization, and leading the Scientific Group no. 240 of the Association of Polish Electrical Engineers. His work demonstrates a strong commitment to advancing both the theoretical foundations and practical applications of modern power engineering.

Phil ColbertView profile

Senior Lecturer

• Education
• Healthcare
• Environmental Sciences
• +1 more

Phil Colbert is a Senior Lecturer and Director of the CIT Minor within the Department of Computer and Information Science at the University of Oregon, School of Computer and Data Sciences. His academic and professional expertise spans software engineering, web and database development, and information security, with a focus on healthcare, environmental sciences, and IoT technologies. Education: M.S. in Computer Science (2008, CSU Chico); B.S. in Physical Science with Minor in Chemistry (1990, CSU Chico) Phil’s teaching emphasizes preparing students for evolving technological challenges in business databases, networks, web applications, and software systems. He has extensive teaching experience across multiple institutions, including Lane Community College, CSU Chico, and Butte College. Additionally, he authored four C# certificate courses for the O'Reilly School of Technology and taught fencing for many years.

• Business Analytics
• Management Information Systems
• Statistics
• +3 more

Kevin McKenzie serves as a Lecturer in the Department of Management at Clemson University's Wilbur O. and Ann Powers College of Business, where he teaches core courses in business analytics, management information systems, and statistical methods. His role bridges technical computing concepts with business applications through cross-disciplinary instruction. His academic credentials include: Ed.D in Career and Technology Education (Clemson University, 2010) MS in Industrial Management (Clemson University, 2001) BS in Management (Clemson University, 1997) Research interests center on Business Analytics and Management Information Systems, with strong emphasis on statistical modeling, network programming, and data-driven business strategy. His teaching portfolio demonstrates integration of computer science principles (evidenced by CPSC 3600 instruction) into business education, reflecting evolving industry demands for technical fluency among managers. Contact is available via PAPPY@clemson.edu or phone at 864.643.6295.

• Active Galactic Nuclei
• Quasars
• Galaxy Evolution
• +7 more

Julia Dusk Kennefick serves as Associate Professor and Department Chair in the Physics Department at the University of Arkansas' College of Arts and Sciences. A native Arkansan and University of Arkansas alumnus, she returned to her alma mater in 2003 after completing her Ph.D. at Caltech and postdoctoral work at Ohio State University and Oxford University. Education: B.S. in Physics (1989), University of Arkansas Ph.D. in Physics (1995), California Institute of Technology Research Focus: Dr. Kennefick's work centers on observational astronomy with emphasis on active galactic nuclei (AGN) and quasars . She investigates AGN-host galaxy relationships, conducts deep-space surveys for high-redshift quasars, and develops methods to measure supermassive black hole masses through spiral arm pitch angles. Her recent expansion into studying galaxy outskirts for dwarf galaxies and gamma ray bursts demonstrates her evolving research trajectory across extragalactic phenomena. Publication Trends: Analysis of her 15 most recent publications reveals a dominant focus on the black hole-galaxy connection , particularly how spiral structure metrics correlate with central black hole masses. Her methodological innovations in pitch angle measurement using Fourier decomposition have become influential, while her dual-AGN identification work addresses critical questions about galaxy mergers. The consistent use of multi-wavelength data (optical, infrared, UV) from global observatories underscores her observational approach. Scientific Recognition: Fulbright College Master Advisor Award (2023) Robert C. and Sandra Connor Endowed Faculty Fellowship (2007) National Science Foundation ADVANCE Fellowship (2004-2007) National Physical Science Consortium Graduate Fellowship (1989-1995) Kingsley Foundation Graduate Fellowship, Caltech (1992) Mentorship & Resources: As Master Advisor Award recipient, Dr. Kennefick actively guides student research including gamma ray burst studies. Her observational program leverages major facilities like Hubble Space Telescope, Palomar Observatory, and international telescopes across Chile, Hawaii, and Australia. Fellowship support from NSF and Caltech provided critical early-career resources for her survey work. Collaborative Framework: Leading the Arkansas Center for Space and Planetary Sciences, she coordinates observational campaigns involving international teams. Her research group frequently collaborates with her husband (also Physics Professor at UARK) and institutions including Ohio State and Oxford, while utilizing data from space telescopes like Spitzer and GALEX for multi-spectral analysis.

• Software Engineering
• Real-time Systems
• Medical Informatics
• +1 more

Prof. Dr. Yaşar Güneri ŞAHİN serves as the Dean of the Faculty of Engineering and Computer Sciences at Izmir University of Economics, where he also holds a professorship in the Department of Software Engineering. With over two decades of experience in both academia and industry, he has established himself as a prominent figure in software engineering, real-time systems, and educational technologies. His academic journey began with a Bachelor's degree in Computer Engineering from Middle East Technical University in 1994, followed by a Master's in Computer Education from Gazi University in 1999, and culminated with a Ph.D. in Industrial Technology from Gazi University in 2005. Prior to joining Izmir University of Economics in 2008, he served as a faculty member at Yaşar University starting in 2005, and before that, he gained nearly a decade of industry experience in high-level management roles overseeing numerous software projects for both public and private sectors. Prof. ŞAHİN's research spans several interconnected domains with a strong emphasis on practical applications. His work in software engineering focuses on project management methodologies, team building models for educational contexts, and database systems. In real-time systems, he has made significant contributions to forest fire detection technologies using innovative approaches like animal-based biological sensors and radio-acoustic sounding systems. His educational technology research addresses challenges in nursing education, special education for individuals with autism, and internet resource utilization by university students. Notably, his interdisciplinary approach bridges computer science with healthcare applications, particularly in medical informatics where he has developed public health information systems and tools for medical data entry. His scholarly output demonstrates a consistent trajectory of innovation across multiple domains, with particular concentration in the period from 2007-2013. While his early work focused on foundational software engineering concepts and database systems, his research evolved to address pressing societal challenges including forest fire detection, healthcare information systems, and educational technologies. This evolution reflects his ability to identify emerging technological needs and apply software engineering principles to diverse real-world problems. His contributions have been recognized through multiple prestigious awards: TÜBİTAK Scientific Publication Awards (2008-2012) İzmir University of Economics Scientific Publication Awards (2008-2011) As an academic advisor, Prof. ŞAHİN has supervised doctoral and master's theses on diverse topics including heart failure management, triage algorithms for multiple injuries, and software project selection metrics for small and medium enterprises. His administrative leadership extends beyond his deanship to include serving on juries for national art, design, and architecture competitions, as well as evaluating research projects for TEYDEB and TÜBİTAK. His grant activities include serving as a project reviewer and monitor for various technology development initiatives including "Bulut," "ARAGES," "SADE," and "SWH-ATLANTIS." Prof. ŞAHİN maintains an active research laboratory environment focused on real-time systems and software engineering applications. His work often involves interdisciplinary collaboration, particularly with medical professionals on health informatics projects and with education specialists on technology-enhanced learning initiatives. Current research directions appear to focus on the intersection of software engineering principles with healthcare applications and environmental monitoring systems.

• Quantitative Finance
• Finance
• Alternative Finance
• +3 more

Ruth Kaila serves as a University Teacher in the Department of Industrial Engineering and Management at Aalto University, Finland. Her academic role encompasses teaching and research activities with a strong emphasis on finance education and quantitative finance methodologies. She actively develops curricula for undergraduate, graduate, and executive education programs in alternative finance. Her primary research spans Quantitative Finance, Alternative Finance, Option Pricing, Hedging Strategies, and Bayesian Statistical Methods. Dr. Kaila's work bridges theoretical finance with practical educational applications, focusing on volatility modeling, risk management frameworks, and innovative pedagogical approaches for diverse learner groups across finance disciplines. Analysis of her publication history reveals an evolving research trajectory: beginning with foundational quantitative work on implied volatility and hedging (2008-2015), she has progressed to developing specialized alternative finance curricula (2023). This demonstrates a strategic integration of advanced financial mathematics with accessible educational frameworks, addressing both academic theory and professional practice needs in contemporary finance education.

Bhubaneswar MishraView profile

Professor

• Computer Science
• Algorithmic Algebra
• Robotics
• +2 more

Bhubaneswar Mishra serves as Professor of Computer Science in the Department of Computer Science at New York University's College of Arts and Science, with research spanning theoretical and applied domains of computer science. His academic credentials include: Ph.D. in Computer Science, Carnegie Mellon University (1985) M.S., Carnegie Mellon University (1983) B.Tech. in Communication Engineering, Indian Institute of Technology Kharagpur (1980) I.Sc., Utkal (1975) Professor Mishra's research integrates algorithmic algebra with real-world applications in robotics, computational biology, and financial systems. His work develops computational frameworks for genomic analysis and algebraic problem-solving, emphasizing mathematical rigor in biological and financial modeling. Key contributions include optical mapping techniques for genome sequencing and foundational solutions to polynomial complexity problems. His publication record from the 1990s reveals a cohesive research trajectory: early work established theoretical computer algebra principles (1993-1994), evolving toward computational biology applications in genomics (1997), demonstrating consistent methodology across mathematical and life science domains. Professional affiliations include membership in AAAS, ACM, IEEE, and NYAS, reflecting recognition across computer science, engineering, and broader scientific communities. He maintains active academic engagement through the Department of Computer Science at 251 Mercer Street, New York, with ongoing contributions to interdisciplinary computational research.

Süleyman Sadi SEFEROGLUView profile

Professor

• Educational Technology
• Computer Education
• Instructional Technologies
• +5 more

Dr. Süleyman Sadi SEFEROGLU is a Professor at Hacettepe University's Faculty of Education, Department of Computer Education and Educational Technologies in Ankara, Turkey. With an extensive publication record spanning over two decades, he has established himself as a leading scholar in educational technology and digital transformation in education. His research interests focus on educational technology, computer education, instructional technologies, digital transformation in education, information and communication technologies, digital literacy and citizenship, technology policy, and artificial intelligence applications in education. His work bridges theoretical frameworks with practical applications in educational settings. Professor SEFEROGLU's recent publications (2022-2025) demonstrate a strong focus on contemporary challenges including digital addiction, AI in education, teacher technostress, digital risk behaviors, and the evolving landscape of educational technology. His research shows a clear trajectory toward understanding the psychological, social, and pedagogical implications of digital transformation in education. He has been actively involved in numerous international conferences as both presenter and invited speaker, reflecting his standing in the educational technology community. His work has increasingly addressed the intersection of emerging technologies like artificial intelligence with educational practice. Professor SEFEROGLU has supervised thesis and dissertation work, though specific student names are not detailed in the available information. His professional activities include participation in accreditation processes and educational policy discussions, particularly regarding Turkey's educational technology initiatives.

• Plant Development
• Shade Avoidance
• Phytochrome Signaling
• +5 more

Diederik Keuskamp is an Assistant Professor in the Experimental and Computational Plant Development group within the Department of Biology at the Faculty of Science, Utrecht University. He also serves as the Phytotron Manager, overseeing critical plant growth facilities for experimental research. His academic appointments show progression from PhD candidate to his current faculty position with additional management responsibilities. Dr. Keuskamp completed his PhD at Plant Ecophysiology, Utrecht University (2006-2011), with a thesis titled 'Shade Avoidance, How auxin controls photoreceptor-mediated shoot elongation.' His academic journey includes postdoctoral positions at Soil Quality (WUR, 2013-2015) and Plant Ecophysiology (UU, 2015-2018), and lecturing at the Institute for Interdisciplinary Studies (UvA, 2011-2013). Keuskamp's research focuses on plant responses to light conditions, particularly shade avoidance mechanisms. His work integrates molecular, physiological, and computational approaches to understand how plants perceive competing light environments. Key areas include phytochrome and cryptochrome signaling pathways, auxin transport dynamics, and hormonal integration during plant development. His fingerprint analysis reveals strong connections to phytochrome biology (100%), shade avoidance (87%), and far-red light responses (77%), indicating a highly specialized research program with ecological relevance. Analysis of Dr. Keuskamp's publication record shows consistent focus on plant photobiology with progression from molecular mechanisms to ecological implications. His early work established foundations in auxin transport (2010) and hormone interactions (2011), while recent publications (2016-2018) demonstrate expansion into computational approaches and wild plant studies, revealing an evolving research program that bridges molecular biology with ecological contexts. As Phytotron Manager since 2018, Dr. Keuskamp provides essential infrastructure for plant growth experiments, supporting numerous research projects requiring controlled environmental conditions. His academic service includes invited talks on shade avoidance mechanisms dating back to 2009, demonstrating sustained expertise in his field.

Tobias MahlerView profile

Professor

• Artificial Intelligence Law
• Robotics Regulation
• Cybersecurity Law
• +5 more

Tobias Mahler is a Professor of Law at the University of Oslo's Department of Private Law and serves as deputy director of the Center for Legal Informatics. He leads the legal innovation lab LILO and has been a visiting scholar at prestigious institutions including Stanford Law School and the Max Planck Institute for Foreign and International Criminal Law in Freiburg, Germany. Originally trained as a German lawyer, Mahler has practical experience having previously practiced as a paralegal in Norway. Professor Mahler's research spans the intersection of law and emerging technologies, with particular expertise in artificial intelligence regulation, robotics law, cybersecurity, and digital governance. His work focuses on developing legal frameworks that balance innovation with risk management and proportionality. He has published extensively on the EU AI Act, examining its risk-based approach and implementation challenges across various technological domains. His research also addresses the legal implications of healthcare robotics, cloud computing services, and domain name systems in the evolving digital landscape. Analysis of Mahler's recent publications reveals a strong focus on the regulatory challenges posed by artificial intelligence, particularly the EU's regulatory framework. His work examines both high-risk and non-high-risk AI systems, exploring compliance procedures, national implementation strategies, and the relationship between risk management and legal proportionality. He has made significant contributions to understanding how legal frameworks should address specific applications like medical AI, care robotics, and smart robotics within the EU context. His research consistently bridges technical and legal perspectives, emphasizing the need for adaptable regulatory approaches that can keep pace with technological innovation. Professor Mahler holds several important positions that demonstrate his influence in the field. He serves as a member of the Research Council's advisory expert group for the KI initiative (2023), is a board member of the Norwegian Association for Law and EDB, and participates in Standard Norway's committee on Artificial Intelligence (SN/K 586). He has led significant studies for both the Research Council of Norway on research data sharing and for the EU Commission related to the Digital Services Act. Previously, he served as program manager for the LLM in Information and Communication Technology Law. At the University of Oslo, Mahler is actively involved in research groups focused on Law and Technology (JOT) and Market, Innovation and Competition (MIK). He leads the legal innovation lab LILO and contributes to projects including Societal Security and Digital Identities (SODI) and Vulnerability in a Robot Society (VIROS), which examine the legal and societal implications of emerging technologies in security contexts and robotics.

Carla WinsorView profile

Lecturer

• Biomechanics
• Biomedical Engineering
• Computational Mechanics
• +4 more

Dr. Carla Winsor serves as a Lecturer in the Department of Civil and Environmental Engineering at the United States Coast Guard Academy, leveraging her interdisciplinary expertise across mechanical engineering, biomedical engineering, and education to advance biomechanics research and STEM pedagogy. Her unique background spans national laboratories, medical institutions, and military education, fostering an innovative approach to engineering education. Education: Ph.D., Mechanical Engineering, University of Wisconsin-Madison, 2022 M.S., Biomedical Engineering, University of Wisconsin-Madison, 2019 M.S., Mechanical Engineering, University of Wisconsin-Madison, 2019 M.S., Engineering Mechanics, University of Wisconsin-Madison, 2017 B.B.A., Business Administration (Organizational Leadership), University of New Mexico, 2014 B.S., Mechanical Engineering, Illinois Institute of Technology, 2013 United States Coast Guard Academy Class of 2011 (Mechanical Engineering/Management) Winsor's research integrates computational biomechanics with educational innovation, focusing on bone density analysis through quantitative computed tomography (QCT), femoral fracture prediction, and calibration methodologies. Her work addresses critical gaps in orthopedic biomechanics while simultaneously tackling systemic barriers in STEM education through system dynamics modeling. This dual focus manifests in publications spanning medical imaging accuracy, sex-specific anatomical modeling, and stakeholder-driven STEM pipeline interventions. Analysis of her 15 most recent publications reveals a consistent trajectory toward interdisciplinary convergence: 70% center on biomechanical imaging techniques (particularly QCT calibration and femoral strength prediction), while 30% address STEM education systems. The biomechanics work demonstrates increasing sophistication in phantom-less calibration methods and sex-specific modeling, whereas her educational research evolves from literature reviews toward actionable system dynamics frameworks for pipeline obstacles. Scientific Awards: SB3C MS Paper Competition finalist (2019) Whitaker International Program Continuing Initiatives Grant Whitaker International Program Fellowship Illinois Tech Interprofessional Projects Dean’s Choice Award Illinois Tech Interprofessional Projects Best in Track Award Congressional Leadership Award: Gold Medal Girl Scout Gold Award Winsor has secured competitive research funding through the Whitaker International Program, supporting her biomechanics collaborations with European institutions. Her educational outreach initiatives, recognized by multiple awards, focus on systemic analysis of STEM pipeline obstacles through stakeholder mapping and literature synthesis. She actively mentors students through Coast Guard Academy senior projects and engineering design labs while teaching core mechanics courses. Professional engagement includes the American Society of Engineering Education, American Society of Mechanical Engineers, International Council of Systems Engineers, and Virtual Physiological Human Institute, where she contributes to computational medicine standards and in silico clinical trials frameworks developed during her tenure at Insigneo Institute for in silico Medicine.

Bernard SophieView profile

Professor

• Sociology of Work
• Employment
• Platform Capitalism
• +3 more

Bernard Sophie is a Professor at Université Paris-Dauphine, affiliated with the Research Institute IRISSO. Her work focuses on the Sociology of Work and Employment , particularly examining the porosity between self-employment and salaried work. She actively contributes to research on platform capitalism through projects like ANR CAPLA. Her research spans Labor Economics , Digital Labor , and Employment Structures , with a strong emphasis on Platform worker classification Gender inequalities in labor Compensation system dynamics Collective action in gig economy . Recent publications analyze platform capitalism , temporal regimes , and labor precarity , reflecting her engagement with evolving economic models and worker rights. Scientific Honor : Junior member of Institut Universitaire de France (2015)