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André NichterleinView profile

Researcher

• Parameterized Algorithms
• Algorithm Engineering
• Kernelization
• +2 more

André Nichterlein is a Permanent Research Associate at the Technical University of Berlin, specializing in Algorithmics and Complexity Theory. He completed his PhD at TU Berlin (2014) and holds a Diploma from Friedrich Schiller University Jena (2010). His career includes postdoctoral research at Durham University (UK) under a DAAD fellowship and extensive work as a research assistant at TU Berlin. Research Focus: Nichterlein's work centers on parameterized algorithms , kernelization techniques , graph problem optimization , and algorithm engineering . His research addresses fundamental challenges in computational complexity through practical algorithmic solutions, particularly in graph theory and network optimization. Publication Trends: His recent articles (2020-2023) demonstrate a strong focus on parameterized complexity frontiers, efficient data reduction methods for NP-hard problems, and applications in network design. Recurring themes include kernelization innovations, graph modification problems, and experimental algorithmics, with consistent contributions to theoretical foundations of computer science.

Krithika SureshView profile

Researcher

• Survival Analysis
• Longitudinal Data Analysis
• Joint Modeling
• +4 more

Krithika Suresh is a Research Assistant Professor in the Department of Biostatistics at the University of Michigan, with a secondary appointment in Radiation Oncology. Her research focuses on biostatistical methodology development for survival analysis, longitudinal data, and prediction models with direct applications in cancer research and health outcomes. Her educational background includes: PhD in Biostatistics, University of Michigan, 2018 MMath in Biostatistics, University of Waterloo, 2013 BS in Honours Mathematics, University of Waterloo, 2012 Dr. Suresh's research centers on advanced statistical techniques including survival analysis, joint modeling of longitudinal and time-to-event data, and dynamic prediction systems. She applies these methods to cancer prognostic modeling (particularly prostate cancer), personalized medicine frameworks, and pragmatic clinical trial design for weight management interventions in primary care settings. Her work bridges theoretical biostatistics with practical healthcare applications. Analysis of her 2020-2022 publications reveals consistent methodological innovation in survival analysis, featuring copula-based dynamic prediction models for time-dependent covariates and longitudinal biomarkers. She has also contributed significantly to machine learning applications in medical imaging through explainable AI pipelines and pragmatic trial design for public health interventions. Her research demonstrates strong integration of statistical theory with oncology and population health applications. Based on available information, details regarding Dr. Suresh's student advising, research grants, laboratory affiliations, or scientific awards are not provided in the source materials.

Marc HellmuthView profile

Associate Professor

• Discrete Mathematics
• Combinatorics
• Graph Theory
• +10 more

Marc Hellmuth is an Associate Professor of Computational Mathematics at the Department of Mathematics, Stockholm University, Sweden. His academic career includes previous positions as Junior Professor for Biomathematics and Computer Science at University of Greifswald, Germany (2015-2020), Lecturer at School of Computing, University of Leeds, UK (2020), and PostDoc positions at Saarland University and Max-Planck Institutes. Dr. Hellmuth earned his PhD in Computer Science from University of Leipzig, Germany (2007-2010, summa cum laude), supervised by Peter F. Stadler, and completed his Venia Legendi (habilitation) at Saarland University, Germany (2016). His research spans the interface of discrete mathematics, computer science, and life sciences with emphasis on: Discrete Mathematics including Graph Theory, Combinatorics, and Optimization Algorithm Design and Complexity Theory Mathematical and Computational Biology Phylogenomics and Evolutionary Analysis Computational Chemistry and Atom Tracking His publication record demonstrates a consistent focus on developing mathematical frameworks and efficient algorithms for biological problems, particularly in phylogenomics, orthology detection, and evolutionary analysis. His work bridges theoretical computer science with practical applications in biology and chemistry, often resulting in open-source software tools. Dr. Hellmuth has developed numerous software tools including AsymmeTree for phylogenetic simulation, tralda for tree algorithms, and specialized tools for phylogenomics, atom tracking, and graph analysis. His collaborative work extends internationally with research visits to institutions including Yale University, University of Leoben, Vienna University of Economics, University of Southern Denmark, Université de Montréal, and institutions in China.

Annarita De MaioView profile

Researcher

• Logistics 4.0
• Sustainable Logistics
• Last-Mile Delivery
• +3 more

Annarita De Maio serves as a Researcher in Operations Research (MAT/09) at the Department of Economics, Statistics and Finance (DESF) of the University of Calabria, where she teaches Logistics, Operations Research, and Mathematical Methods for Economics courses across undergraduate and graduate programs including Economics, Data Science, and Management Engineering. PhD in Mathematics and Computer Science (2018), University of Calabria Dissertation: Integrated Logistics and Last-Mile Deliveries (developed with Procter & Gamble) Research periods at P&G Brussels and CIRRELT/Laval University (Quebec) Her research centers on Logistics 4.0 innovations with dual emphasis on sustainable last-mile delivery systems (crowdshipping, autonomous robots, locker networks) and smart tourism applications . Current projects integrate IoT and AI for optimizing pharmaceutical distribution, perishable goods logistics, and urban tourist trip planning while addressing environmental constraints and stochastic demand patterns. Recent publications (2022-2025) reveal three thematic clusters: (1) stochastic optimization for dynamic delivery systems, (2) sustainable urban logistics solutions using multi-modal transport, and (3) data-driven tourism management frameworks. Her work consistently bridges theoretical modeling with industrial case studies involving Italian companies and municipal authorities. As an active member of DESF's Quantitative Methods for Economics, Finance and Management research group, she contributes to regionally and nationally funded projects focusing on mathematical programming applications. Her international conference participation includes speaking and organizing roles at major logistics and operations research events. Dr. De Maio collaborates within the department's research ecosystem through the Quantitative Methods group, which develops computational models for decision-making in finance, actuarial science, and transportation. Current initiatives explore crowdshipping economics, green tourist trip design, and risk-aware inventory systems for perishable commodities.

Erik CarlssonView profile

Professor

• representation theory
• algebraic geometry
• algebraic combinatorics
• +5 more

Erik Carlsson is a Professor in the Mathematics department at the University of California, Davis. His research spans multiple areas of pure and applied mathematics, connecting deep theoretical concepts with practical computational applications. He received his Ph.D. from Princeton University under Professor Andrei Okounkov in 2008, and a B.S. in Mathematics with honors and a minor in Computer Science from Stanford University in 2003. Carlsson's research focuses on representation theory, algebraic geometry, algebraic combinatorics, computational topology, and connections with nonconvex optimization. He is particularly interested in connections between Goresky-Kottwitz-Macpherson (GKM) spaces and applications to Macdonald theory and combinatorics. His work also includes computational topology, especially persistent homology, which he develops in collaboration with John Carlsson. One of his recent developments is a method for constructing the alpha complex in high dimension using the powerful duality principle in mathematical optimization. His recent publications show a clear trend toward bridging theoretical mathematics with computational applications. His work spans from proving deep conjectures in algebraic combinatorics (like the shuffle conjecture) to developing practical algorithms for topological data analysis. The interdisciplinary nature of his work connects pure mathematical theory with applications in data science, computer vision, and optimization problems. Carlsson has made significant contributions to multiple fields of mathematics through his collaborations and independent work. His research has implications for both theoretical mathematics and practical computational problems, with recent publications as of 2024 demonstrating his continued active research program.

• Geometric Modeling
• Topological Analysis
• Soft Matter Physics
• +2 more

Prof. Dr. Myfanwy Evans is a Professor of Applied Geometry and Topology at the University of Potsdam . Her research focuses on geometric and topological modeling of soft and biological systems, with emphasis on analyzing complex microstructures through experimental and theoretical approaches. She is affiliated with the Institute of Mathematics, leading projects in geometric constraints in biological and synthetic materials. Current Position: Professor, University of Potsdam (2020–present) Previous Roles: Emmy Noether Research Group Leader (2015–2020), Humboldt Postdoctoral Fellow (2011–2014) Research Highlights: Evans investigates topological potentials in protein assembly, curvature in biological systems, and geometric optimization in tensegrity frameworks. Her work spans 3-periodic entanglements, network theory, and bicontinuous structures. Funding & Collaborations: Participates in Matters of Activity and MATH+ excellence clusters, collaborating across Berlin universities and Germany. She contributes to research on discretization in geometry and dynamical systems. Software Development: Co-created SPIRE , a tool for bicontinuous phase recognition applied to plastid cubic membranes and biological structures. Technical Expertise: Utilizes Riemannian optimization for geometric modeling, explores auxetic materials, and studies foam coarsening dynamics.

Jennifer KinsleyView profile

Professor

• First Amendment Law
• Free Speech
• Constitutional Law
• +6 more

Jennifer Kinsley is Professor of Law at Northern Kentucky University's Salmon P. Chase College of Law and serves on the Ohio First District Court of Appeals. She is a leading constitutional law scholar focusing on First Amendment rights, particularly in criminal cases, and advocates for criminal justice reform. Her career bridges academia, litigation, and public engagement, with notable representation of clients including Black Lives Matter protestors and human trafficking survivors. Education: Juris Doctor from Duke University School of Law and Bachelor of Arts in English from the University of Florida. Research Interests: Centered on free expression, political affiliation biases in sentencing, therapeutic approaches to speech, and the intersection of psychology and constitutional law. Her work addresses systemic inequities in criminal justice systems and digital privacy challenges. Scientific Awards: Inaugural Civil Rights and Judicial Advocacy Award (NAACP, 2023) NKU Professor of the Year (2021-2022, 2020-2021) Super Lawyers Rising Star (First Amendment, 2007, 2011-2014) Best Lawyers in America (First Amendment, 2013-2015) Community & Professional Engagement: Active board member of Mutual Dance Theater and volunteer for homeless outreach. Previously served as Associate Dean for Professional Development, overseeing bar exam programs, and developed Chase's field placement initiative for experiential learning.

• Industry 4.0
• Resilience Engineering
• Sustainability in Production Systems
• +3 more

Arpita Chari is a Research Fellow at Chalmers University of Technology, specializing in Virtual and Digital Production Systems. Her work bridges Industry 4.0, Resilience Engineering, and Sustainability in Production Systems, focusing on integrating digital technologies to enhance resource efficiency and enable lean circular manufacturing. Her research explores the implementation of resilient and sustainable practices in manufacturing, emphasizing dynamic capabilities, digital platforms, and supply chain optimization. Key projects include the Digitala Stambanan initiative and the Produktion2030 strategic innovation program, which address sustainability transitions and systemic resilience. 2024 Highlights: Analyzed dynamic capabilities for resilience-sustainability integration, characterized battery lifecycle challenges, and modeled risk prioritization in supply chains. 2023 Themes: Digital platform adoption, battery production systems, and value chain sustainability in the Digitala Stambanan project. 2022–2021 Foundations: Developed frameworks for green manufacturing, circular supply chains, and stakeholder-driven sustainability in textiles.

• Financial Accounting
• Earnings Restatements
• Accounting Discretion
• +5 more

Masashi Okumura is Professor at Waseda University’s School of Commerce (Faculty of Commerce) where he has taught since 2006. Holding a Doctor of Commerce from the same university, he specialises in empirical accounting research, focusing on earnings restatements, accounting discretion, disclosure strategy, and the capital-market effects of digital reporting technologies such as XBRL. Education: Doctor of Commerce, Waseda University Master of Commerce, Waseda University Bachelor of Commerce, Waseda University Research Interests: Professor Okumura’s work straddles financial accounting and capital-markets research. He investigates why firms restate earnings, how investors react, and how disclosure timing and complexity affect liquidity and pricing. Recent projects explore digital technology’s impact on accounting information quality. Publication Trends: Across more than 60 refereed articles he repeatedly examines earnings restatements, disclosure behaviour, IFRS adoption motives, and the economic consequences of accounting choice. Studies published in 2022-23 utilise XBRL data to link financial-statement complexity to intraday bid-ask spreads and post-announcement drift. Scientific Awards: NOMURA Award (Special Prize) 2025 Japan Disclosure Research Association Book Award 2017 Business Analysis Association Book Award 2014 Ota-Kurosawa Award 2014 Vernon Zimmerman Best Paper Award 2000 Grants & Leadership: He currently leads a JSPS KAKENHI project (2022-25) on the capital-market and managerial impacts of earnings restatements. He served as Editor-in-Chief of the Japan Accounting Association’s journal and, since April 2024, as President of the Japan Accounting & Economic Association. Labs & Teams: Okumura heads the Financial Reporting & Analysis research group at Waseda’s Research Institute of Business Administration and mentors graduate students conducting archival accounting research.

• Economics
• Media Studies and Journalism
• General Law
• +2 more

Anders Molander is a Part-Time Professor at the Faculty of Social Sciences of Oslo Metropolitan University. His research spans multiple disciplines, including Economics, Media Studies, General Law, Public and Private Administration, and Ethics, with a focus on expertise, discretion, and normative governance. Key research themes include: Expertise and Democracy : Critique of epistemic asymmetry in policy-making, biases in economic expertise, and democratic legitimacy. Welfare and Ethics : Conditional welfare, paternalistic justification, and sanction policies in activation programs. Political Philosophy : Hobbesian reasoning, Kantian ethics, and rational choice theory. Public Administration : Discretion in bureaucratic judgment, juridification processes, and institutional design. His collaborations with scholars like Cathrine Holst, Gaute Torsvik, and Lars Inge Terum highlight interdisciplinary work on EU crises, social dilemmas, and activation programs. Publications include peer-reviewed articles in Archiv für Rechts- und Sozialphilosophie and Journal of Social Policy , as well as textbooks and research reports. Advising and grants are not explicitly detailed in the provided data. No lab or team affiliations are mentioned.

Kartic SubrView profile

Senior Lecturer

• Computer Graphics
• Monte Carlo Rendering
• Physics-based Simulation
• +13 more

Kartic Subr is a Senior Lecturer (equivalent to Associate Professor) in the School of Informatics at the University of Edinburgh, where he conducts research at the intersection of computer graphics, machine learning, and robotics. He is affiliated with the Institute of Perception, Action and Behaviour and leads an active research group in physics-aware simulation and AI for scientific discovery. His research interests span Computer Graphics , Monte Carlo Rendering , Physics-based Simulation , Machine Learning , Robotics , and Computational Biology . He has made significant contributions to rendering theory, light transport analysis, BRDF modeling, and simulation of fluids and fractures. Recently, his group has applied deep learning to protein design, achieving notable success in international competitions. The recent publications reflect a strong trend toward interdisciplinary research, combining computer graphics with AI and biology. Key themes include explainable AI for physics-aware interfaces (e.g., CueTip), neural rendering (NeRF), protein design with CNNs, and reward learning in robotics. His group regularly publishes in top venues such as SIGGRAPH, NeurIPS, and IEEE RA-L. Royal Society University Research Fellowship (2014–2024) Lead, GCRF Impact Accelerator (2019) Lead, EPSRC First Grant (2017) Royal Society Challenge Grant (2016) Royal Society Newton International Fellow (2010) Marie-Curie Visitor (2006) Best Paper Honorable Mention, I3D 2012 Best Paper, I3D 2011 Kartic Subr actively supervises PhD students and postdocs, including Leonardo Castorina, Zhiyuan Zhang, and Kevin Denamganaï. Former students have gone on to positions at DeepMind, University of Edinburgh, and industry. He has secured multiple grants, including from the Royal Society and EPSRC. His research group collaborates across disciplines, particularly with biological sciences on protein design. He leads projects on approximate physics for robotics, protein design via deep learning, and interactive rendering systems. The group has developed frameworks like TIMED for de novo protein design and tools for explainable physics-aware assistants.

• Accounting
• Auditing
• Judgment and Decision-Making
• +4 more

Derek Barr-Pulliam is an Assistant Professor in the School of Accountancy within the College of Business at the University of Louisville . Prior to joining UofL, he held faculty positions at the University of Wisconsin-Madison and gained six years of professional experience as a Certified Public Accountant (CPA) and Certified Internal Auditor (CIA) . PhD in Accounting (2014), MA in Accounting (2004), BS in Accounting (2002) from the University of Mississippi His research integrates psychology and economic theories to analyze judgment and decision-making in auditing. Key themes include: Auditors’ interaction with advanced technology and subject matter experts Consumer perceptions of audit quality Digital transformation in audit practices Decision analytics and legal accountability Recent publications examine AI chatbots in accounting education, juror perceptions of audit negligence, and literature reviews on audit innovation. Scientific Awards : Access to Audit Personnel Grant (2021) by CAQ and AAA Research Funding includes support from global institutions like KPMG , IAAER , ICAS , and IIA Research Foundation . He has also authored commissioned monographs on auditor knowledge acquisition and serves on editorial boards for Accounting Horizons and Current Issues in Auditing .

Michael T. LightView profile

Professor

• Criminology
• Sociology of Law
• Immigration Studies
• +6 more

Michael T. Light is Professor of Sociology and Chican@/Latin@ Studies at the University of Wisconsin-Madison, with extensive affiliations including the Center for Demography and Ecology, Center for German and European Studies, Center for Law, Society & Justice, Institute for Research on Poverty, LaFollette School of Public Affairs, and others. His research spans three major areas at the intersection of criminology, law, immigration, and inequality. His educational background includes a Ph.D. from The Pennsylvania State University (2013). Light's research focuses on three interconnected strands: (1) the intersection of law and demography examining citizenship as a mechanism of legal inequality; (2) racial inequality under the law and its relationship to crime and punishment; and (3) the immigration-crime nexus, particularly regarding undocumented populations. His work has consistently demonstrated that undocumented immigrants have substantially lower crime rates than native-born citizens and legal immigrants, challenging common political narratives. He has conducted comparative research across multiple countries including the United States, Germany, and the Netherlands. Analysis of Light's recent publications reveals a strong emphasis on citizenship status as a key axis of legal inequality, with numerous studies comparing the treatment of citizens versus noncitizens throughout the criminal justice process. His work employs rigorous methodological approaches including longitudinal analyses, fixed-effects models, and comparative designs. A significant thread in his recent scholarship examines racial disparities, particularly the Black-White gap in sentencing and life expectancy, with notable findings about the declining significance of race in criminal sentencing and the role of homicide in driving racial disparities in life expectancy during the pandemic. National Science Foundation grant (2019-2021) for criminal case processing of immigrants in state courts National Institute of Justice grant (2020-2022) for crime and recidivism among the undocumented Russell Sage Foundation grant for research on colorism and punishment Rockwool Foundation grant for collateral consequences of deportation Light actively mentors graduate students, including Ph.D. candidate Jungmyung Kim who has co-authored multiple publications with him. His research has been widely covered in major media outlets including The Washington Post, New York Times, Scientific American, and CNN, where his findings on immigration and crime have been used to fact-check political claims. He teaches courses including SOC 440 Ethnicity Race and Justice, SOC 443 Immigration Crime and Enforcement, and SOC 875 Special Topics: Professional Writing for Sociologists. His work has appeared in top journals including American Journal of Sociology, American Sociological Review, Criminology, and Proceedings of the National Academy of Sciences.

• Industrial Digitalization
• Automation
• Human-Robot Collaboration
• +7 more

Professor Johan Stahre is affiliated with Chalmers University of Technology, where he leads the Division of Production Systems and serves as Assistant Head of Department. His expertise spans industrial digitalization, automation, and the human role in future manufacturing systems. Codirector of Produktion2030 (2013–present) Central figure in EIT Manufacturing development (2016–present) Chalmers representative in European Factories of the Future Research Organisation His research focuses on: Manufacturing resilience and uncertainty navigation Human-Robot Collaboration in restricted environments 5G-enabled smart maintenance systems Sustainability through digital servitization Skill gaps in Industry 4.0/5.0 Computer vision applications in assembly systems Recent publications highlight trends in immersive technologies for manufacturing and resilience frameworks. While no formal awards are listed, his leadership in national and European innovation programs underscores his impact.

Emmanuelle RichezView profile

Associate Professor

• Canadian Politics
• Constitutional Law
• Indigenous Rights
• +5 more

Dr. Emmanuelle Richez is an Associate Professor in the Department of Political Science at the University of Windsor. She specializes in Canadian law and politics, with a primary focus on official and Indigenous language rights. Her research explores constitutional frameworks, judicial review, and social movements' digital mobilization. Richez holds a PhD from McGill University, a Master’s from Université Laval, and a Bachelor’s from the University of Ottawa. She has held postdoctoral fellowships at Concordia University and the University of New South Wales, and has professional experience in Canada’s House of Commons and Quebec National Assembly. Recent engagements include organizing a colloquium honoring Benoit Pelletier at the CAP-CF (April 2025), presenting on the Court Challenges Program at Université Laval (February 2025), and serving as Vice-Chair of French schoolboard Viamonde (November 2024). Her work bridges academic research with policy impact, addressing topics like Indigenous language revitalization and constitutional dynamics in multicultural Canada. Richez’s research interests span constitutional law, judicial politics, and digital activism. Key themes include the Canadian Charter of Rights and Freedoms’ implementation, Indigenous governance, and the role of social movements in shaping policy. Her scholarship emphasizes legal mechanisms for marginalized communities and the evolving relationship between law and citizenship.