جست‌وجوی استاد و پژوهشگر

TAN Seow Yenمشاهده پروفایل

استادیار

• Emerging Infectious Diseases
• Nosocomial Infections
• Hospital Infection Prevention and Control
• +۳ مورد دیگر

Dr TAN Seow Yen is an Adjunct Assistant Professor at the National University of Singapore (NUS) Saw Swee Hock School of Public Health, a Clinical Faculty Member at Duke-NUS Medical School and NUS Yong Loo Lin School of Medicine, and an Infectious Diseases Consultant and Head of the Department of Infection Prevention & Control at Changi General Hospital. She also leads Training & Education at the National Centre for Infectious Diseases. Education Bachelor of Medicine & Bachelor of Surgery, NUS, 2008 Member, Royal College of Physicians, United Kingdom, 2012 Master of Medicine (Internal Medicine), NUS, 2013 Fellow, Academy of Medicine Singapore, Chapter of Infectious Disease Physicians, 2017 Research Interests Her work centres on emerging infectious diseases , nosocomial infections and hospital infection prevention and control . She is especially passionate about translating field epidemiology findings into practical bedside protocols and educational curricula for healthcare professionals and students. Dr Tan’s recent publications reflect an intense focus on the COVID-19 pandemic, spanning diagnostic accuracy of self- versus health-worker-collected swabs, clinical management of cohort wards, policy evaluation of routine screening, therapeutic trials of baricitinib plus remdesivir, and comprehensive epidemiologic profiling of Singapore’s first-wave cohort. Scientific Awards & Honours SingHealth Excellence Awards 2022 – Distinguished Young Leader Award Public Administration Medal (Bronze) (COVID-19), 2022 Leadership & Grants She currently heads two key units: Department of Infection Prevention & Control, Changi General Hospital Training & Education Office, National Centre for Infectious Diseases These roles support multi-institutional grants and training programmes aimed at strengthening Singapore’s capacity in outbreak preparedness and antimicrobial stewardship. Laboratory & Team Affiliations Dr Tan’s activities are embedded within the Infectious Disease Research and Training Office of the National Centre for Infectious Diseases, enabling close collaboration with multidisciplinary teams in microbiology, epidemiology and health-services research across SingHealth and NUS.

Hamsa Sridhar Bastaniمشاهده پروفایل

دانشیار

• Machine Learning Algorithms
• Data-Driven Social Good
• Human-AI Interface
• +۸ مورد دیگر

Hamsa Sridhar Bastani is an Associate Professor of Operations, Information, and Decisions (OID) as well as Statistics and Data Science at the Wharton School of the University of Pennsylvania, where she co-directs the Wharton Healthcare Analytics Lab. Her academic journey includes graduating summa cum laude from Harvard in 2012 with an A.M. in physics and an A.B. in physics and mathematics, completing her PhD in Stanford's Electrical Engineering department under Mohsen Bayati, and spending a year as a Herman Goldstine postdoctoral fellow at IBM Research. Dr. Bastani's research focuses on developing novel machine learning algorithms for learning and optimization, including methods for sequential decision-making (bandits, reinforcement learning, active learning), learning from auxiliary data sources (transfer learning, meta-learning, surrogates), and designing effective human-AI interfaces (interpretability, fairness). She is passionate about applying machine learning and AI to tackle high-impact societal problems across domains like healthcare, public policy, and education. Her recent work explores how AI systems affect and augment human behavior, with the goal of designing AI tools that help humans thrive. She has collaborated with national governments to deploy algorithms at country scale for improving public health outcomes, including working with the Government of Greece to nearly double the efficacy of their national border COVID-19 screening via reinforcement learning, and with the Government of Sierra Leone to improve patient access to essential medicines by nearly 20% via decision-aware learning. She also co-led the first large field study deploying generative AI tutors in high school math classes, demonstrating critical risks for human overreliance and deskilling. Dr. Bastani's publications reveal trends in applying advanced machine learning techniques to real-world problems, particularly in healthcare and social impact domains. Her work often combines theoretical rigor with practical implementation through randomized controlled trials and field evidence. Recent publications show increasing focus on the human-AI interface, especially examining risks of generative AI in educational contexts and developing frameworks for responsible human-AI collaboration. Her research has been published in leading outlets including Nature, Management Science, Operations Research, and PNAS. Scientific Awards Wagner Prize for Excellence in Operations Research Practice (2021) INFORMS Pierskalla Award for Best Paper in Healthcare (2021, 2019, 2016) Public Sector in OR Best Paper Award (2024) INFORMS Data Mining Best Paper Award (2022) Wharton Teaching Excellence Awards (2021, 2020, 2019) George Nicholson Best Student Paper Competition (2016) MSOM Best Student Paper Competition (2016, 2020) National Science Foundation Fellow (2012-2017) As an advisor, Dr. Bastani has mentored numerous PhD students who have gone on to prestigious positions including Assistant Professors at Cornell Johnson, ASU Carey, and UC Berkeley Haas, as well as Director of Responsible AI at PwC. She has secured significant research funding through collaborations with government entities and has served as an Associate Editor for Operations Research, M&SOM, and OR Letters. Her work has been supported by partnerships with national governments and organizations like the Penn Center for Health Incentives and Behavioral Economics. She primarily teaches OIDD 321: Introduction to Management Science, for which she received multiple Wharton Teaching Excellence Awards. Dr. Bastani co-directs the Wharton Healthcare Analytics Lab, which focuses on applying data science and machine learning to healthcare challenges. She also serves on the Steering Committee for the Penn Center for Health Incentives and Behavioral Economics and on the statistics advisory committee for the AHA Food is Medicine Initiative. Outside academia, she serves on the Workday AI Advisory Board, connecting her research with industry applications.

• Mental Health
• Child and Adolescent Development
• Health Promotion
• +۷ مورد دیگر

Dr Julia Dray is a Lecturer in Speech Pathology at the University of Technology Sydney (UTS), Faculty of Health, where she also serves as Project Manager for the NurtureNextGen project in Genetic Counselling. Her academic career spans multiple institutions including the University of Newcastle and Australian National University, with research focusing on mental health, preventive care, and lived experience research. Dr Dray completed her PhD in Psychology at the University of Newcastle Australia, where she also earned her Bachelor of Psychology with First Class Honours and the J A Keats Award. She has since augmented her expertise with an Ethical AI certification from RMIT University. Her research interests center on mental health promotion, particularly child and adolescent mental health, resilience, chronic disease prevention, and the integration of lived experience in research. Dr Dray has pioneered work in digital health, especially the application of Generative AI, AR, and VR in mental health support and speech pathology. Her research demonstrates a strong emphasis on co-design methodologies, implementation science, and community-engaged approaches to improve health outcomes for vulnerable populations. Analysis of her recent publications reveals a clear trajectory toward innovative digital health solutions, with increasing focus on Generative AI applications in mental health and speech pathology. Her work bridges implementation science with emerging technologies, examining both the potential and ethical considerations of these innovations in clinical practice. Donald J Cohen Fellowship (IACAPAP), 2016 J A Keats Award for First Class Honours International impact recognition with citations in WHO and NICE guidelines Dr Dray has supervised numerous research students across various projects related to mental health, chronic disease prevention, and consumer engagement in health research. She has secured over half a million dollars in research funding, including significant grants from the Hunter Medical Research Institute and the Health Foundation. Her collaborative approach extends to partnerships with community organizations, government bodies, and international research teams, reflecting her commitment to translating research into practice. As a member of the Faculty of Health at UTS, Dr Dray contributes to the INSIGHT: Institute for Innovative Solutions for Wellbeing and Health and the UTS Research Centre for Trustworthy Digital Society. Her work on the NurtureNextGen project demonstrates her commitment to genetic counseling and family-centered approaches to health.

Matt Robertsمشاهده پروفایل

استاد

• Golf Management
• Player Development
• Sports Instruction
• +۲ مورد دیگر

Matt Roberts, PGA, serves as the Director of Player Development for the PGA Golf Management Program at Coastal Carolina University. He joined the faculty in 2013 after gaining extensive experience in golf course operations, including his role as First Assistant at the university-owned Hackler Golf Course. Roberts holds a bachelor's degree in Marketing with a PGA Golf Management specialization (2006) and an MBA (2021) from Coastal Carolina University. His expertise spans golf instruction, club fitting, and player development, supported by certifications in advanced golf technology and teaching systems such as Flightscope, V1 Sports, Foresight Sports, and as a PGA-certified instructor in all four areas: General Management, Golf Operations, Player Development, and Teaching. He is also a certified golf club fitter for multiple leading equipment brands. As a full-time faculty member, Roberts focuses on bridging academic training with practical golf industry skills, contributing to the program's mission of preparing students for PGA careers.

Ilgin Gulerمشاهده پروفایل

دانشیار

• Transportation Engineering
• Intelligent Transportation Systems
• Traffic Signal Control
• +۸ مورد دیگر

Ilgin Guler is an Associate Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University’s College of Engineering. Her research focuses on intelligent transportation systems, traffic operations, infrastructure sustainability, and equitable mobility solutions. She contributes to interdisciplinary projects such as the Equitable Optimization of Transportation Systems and Services addressing climate and sustainability challenges. Her research interests span Transportation Engineering , Intelligent Transportation Systems , Traffic Signal Control , Connected Vehicles , Pavement Management , and Transit Signal Priority . She applies advanced techniques including deep learning and optimization to improve urban and rural transportation systems. Her work emphasizes safety, equity, and sustainability in infrastructure planning and operations. The recent publications highlight a strong trend in integrating machine learning with classical traffic theory, enhancing infrastructure resilience through data-driven maintenance, and evaluating shared mobility impacts on safety and equity. Her research bridges civil engineering with data science, focusing on real-world applications in Pennsylvania and beyond. Scientific Awards: No awards explicitly mentioned in the provided text. She advises graduate students in transportation engineering and has been involved in multiple research projects, including seed-funded initiatives from the Institute for Energy and the Environment (IEE). While specific grant amounts and student names are not listed, her collaborative work with faculty like Vikash Gayah and Anik Sengupta indicates active mentorship and team leadership. Her research is associated with initiatives such as the Equitable Communities and the Built Environment and leverages tools from connected vehicle technology, impact-echo testing, and generative AI for infrastructure assessment.

Jessica Friedrichsمشاهده پروفایل

استادیار

• Cultural humility
• Diversity and equity
• Professional social work education
• +۴ مورد دیگر

Jessica Friedrichs, MSW, MPA, is an Assistant Professor and Director of BSW Field Education at Carlow University's College of Arts & Sciences, Department of Social Work. She previously served as Director of the Service-Learning & Outreach Center and contributed to the Just and Merciful Curriculum and Honors Program. Education: MSW (Community Organizing and Social Administration, 2007), MPA (Public and Non-Profit Management, 2007) from University of Pittsburgh; BA in Sociology (Pennsylvania State University) Her research focuses on cultural humility, diversity and equity, first-generation college students, and community-based global learning. She co-authored works on ethical engagement in global education and analyzed disparities in service-learning pedagogy. She has received the Max and Esther Sestili Award for Excellence in Teaching (2018), Amizade Hall of Fame Award (2024), and was nominated for the Online Teaching Innovation Award (2018). She served as a Faculty Fellow at the Center for Digital Learning and Innovation (2017). Professional Leadership: Co-founder of Cultural Humility and Equity Collaborative (CHEC); Board member of Alliance for Refugee Youth Support and Education (ARYSE); Facilitator/trainer for Interactivity Foundation Consulting: Racial equity and immigrant inclusion training for Allegheny County Department of Human Services and Pittsburgh Department of Public Safety

Ellen McHughمشاهده پروفایل

مدرس ارشد

• Higher Education
• Student Experience
• Educational Inequalities
• +۷ مورد دیگر

Dr. Ellen McHugh is a Senior Lecturer in the Department of Education at Brunel University London. She teaches undergraduate education programs and supervises doctoral students, with research focusing on educational inequalities and experiences of marginalized groups in higher education. PhD in Geography (University of Reading) MA in Tourism, Environment and Development (King's College London) BA in Geography and Archaeology (University of Manchester) Research Interests: Ellen’s work examines commuter students’ spatial practices, food poverty in universities, military families’ educational needs, and intersectional approaches to transnational motherhood. She emphasizes materialities of access and belonging in educational spaces. Publication Trends: Her recent articles address geographies of student engagement, intersectionality in supervision, welfare provision in academia, and military family experiences. Themes include mobility, equity, and spatial-temporal challenges in education. Awards & Grants: Fellow of Advance Higher Education British Academy/Leverhulme Small Research Grant (2023-2025): £10,000 for free food provision in universities Service Children's Progression Alliance (SCiP) collaboration Professional Roles: As Assessment Block Leader for ED1805 and ED2803, and Academic Misconduct Officer, she shapes academic governance. She also serves as External Examiner at York St John University.

• Theoretical Physics
• Supergravity
• Black Holes
• +۵ مورد دیگر

Mario Trigiante is a Full Professor at the Polytechnic University of Turin, Department of Applied Science and Technology (DISAT), where he serves as Coordinator of the basic subjects for the 2nd year of Engineering. He is actively involved in the Physics PhD program as Coordinator (2021-2024) and has been teaching various courses including Group Theory and Applications of General Relativity. His primary research interests focus on theoretical physics, particularly supergravity theories in different dimensions and their solutions including black holes, black branes, and wormholes. He has made significant contributions to the development of the embedding tensor formalism for gauging procedures in supergravity. His work explores solutions with anti-de Sitter asymptotic geometry and their relevance to the holographic gravity/conformal gauge theory duality, with applications to condensed matter systems like graphene in strong coupling regimes. He also investigates the interpretation of supergravity solutions within superstring theory using Exceptional Field Theory. His recent publications reveal a consistent focus on supergravity solutions, string theory applications, and mathematical structures in theoretical physics. The research demonstrates strong connections between gravity, quantum field theory, and mathematical physics, with particular emphasis on duality principles and geometric structures. National Scientific Qualification - First Level (2014) Fellow at Enrico Fermi Research Center (2015-2016) Scientific director of Advanced Grant on 'A Geometric Approach to Quantum Gravity' Professor Trigiante has supervised multiple PhD students including Marcelo Oyarzo (40th cycle), Stefano Maurelli (39th cycle), and Alfredo Giambrone (35th cycle). He has served as Coordinator of the Doctoral School in Physics (2018-2021) and continues to lead the PhD Course in Physics. His research is supported through grants including an Advanced Grant from the Enrico Fermi Research Center. He is affiliated with the Institute of Condensed Matter Physics and Complex Systems (DISAT) and leads the Theory of Fundamental Interactions research group. He also serves as Scientific Director for the Interuniversity Center for Algebra, Geometry and Theoretical Physics 'Centro Regge' (2023-2027) and is a member of the 'Arnold-Regge' Interuniversity Center.

Salihah R. Denmanمشاهده پروفایل

استادیار مهمان

• Family Law
• Children and the Law
• Legal Education
• +۵ مورد دیگر

Salihah R. Denman is a Visiting Assistant Professor at the Elisabeth Haub School of Law at Pace University, where she teaches Family Law and Children and the Law. She also serves as the Director of Student Diversity Initiatives and Director of the NY LEO program at the New York State Judicial Institute, demonstrating strong commitment to equity and access in legal education. Her educational background includes a BA from the University of North Carolina at Greensboro, a JD from Howard University School of Law, and an LL.M. from American University, Washington College of Law. Professor Denman's research and professional work centers on family law and children's rights. She is deeply involved in child advocacy, legal education reform, and increasing diversity in the legal profession. Her expertise extends to appellate advocacy and clinical legal training, with a focus on systemic support for underrepresented communities. Though no recent articles are listed, her work reflects a consistent engagement with legal policy, child welfare systems, and experiential learning in law. State Coordinator, National Association of Counsel for Children Founder and Co-Chair, Children and the Law Section, Metropolitan Black Bar Association Member, Office of Attorneys for Children Advisory Committee (Third Judicial Department) Mentor, The Appellate Project Co-Coach, Black Law Student Association’s Moot Court Team, New York Law School She has previously served as an Assistant Professor at New York Law School and held legal positions at the Westchester County Attorney’s Office and Administration for Children’s Services. Licensed in New York, Connecticut, and the U.S. Supreme Court, she is certified as an Attorney for Children in multiple jurisdictions. She is also actively involved in continuing legal education and volunteer legal programming. Professor Denman is a first-generation immigrant from Suriname, fluent in Dutch, and a member of Delta Sigma Theta Sorority, Inc. and Epsilon Sigma Iota Sorority, Incorporated, the first legal sorority for Black women.

Gloria Townsendمشاهده پروفایل

استاد

• evolutionary computation
• robotics
• computing ethics
• +۴ مورد دیگر

Gloria Townsend is a Professor of Computer Science and Chair of the Computer Science Department at DePauw University. With four degrees from Indiana and Purdue Universities, she has dedicated her career to evolutionary computation, computing ethics, and addressing gender disparities in computer science. Her research extends to biological applications through evolutionary modeling and inclusivity in STEM fields. Evolutionary computation with biological applications Robotics Computing ethics Gender issues in computing Computer science education reform Recent publications analyze women in computing through SIGCSE initiatives, ACM-W history, and inclusivity strategies. She explores gender disparities in CS enrollment, student retention through peer organizations, and the intersection of athletics with computing participation. Her work emphasizes curriculum development for diverse learners. Key scientific contributions include: Founding student organizations to broaden computing participation Developing scholarship/travel grant programs for Grace Hopper Celebration Creating Julian Scholarship initiatives for first-generation CS majors Research on introverted student engagement through groupware systems Innovative CS1 interventions for equitable learning

• Program Specification and Verification
• Concurrent Separation Logics
• Symbolic Analysis Tools
• +۳ مورد دیگر

Philippa Gardner is a Professor in the Department of Computing at Imperial College London, holding a UK Research and Innovation Established Career Fellowship (2018–2023). She leads the Research Institute on Verified Trustworthy Software Systems (VeTSS, 2017–2023) and is renowned for her work on program specification and verification, particularly in concurrent separation logics and the development of the Gillian platform for symbolic analysis of real-world languages like C and JavaScript. PhD from the University of Edinburgh (1992), supervised by Professor Gordon Plotkin FRS. EPSRC Advanced Fellowship at Cambridge (1998), followed by a lectureship at Imperial (2001) and promotion to Professor (2009). Her research bridges program verification, symbolic execution, and bi-abduction, focusing on robust mechanised language specifications. She has pioneered library specifications for JavaScript and WebAssembly, emphasizing environment robustness and scalable compositional reasoning. The Gillian platform unifies classical symbolic execution, separation-logic verification, and bi-abduction-based testing. Philippa has received prestigious awards, including the Royal Academy of Engineering Fellowship (2020), President and Rector’s Award for Teaching (2013), and Microsoft Research — Royal Academy of Engineering Senior Fellowship (2005–2009). She has secured significant grants from Amazon, Facebook, EPSRC, and GCHQ for projects like Gillian and JSVerify. She actively supervises PhD students and teaches the Scalable Software Verification course. As General Chair of POPL ’24 and organizer of the Isaac Newton Institute’s Verified Software program (2022), she shapes academic discourse. Her editorial roles and conference committee memberships further underscore her influence in programming languages and formal methods.

Edward Bradfordمشاهده پروفایل

دانشیار

• Writing Instruction
• Reading Development
• Academic Support Services
• +۳ مورد دیگر

Edward Bradford is an Associate Professor in General Education at Curry College, where he has been employed since 1984 and serves as Director of the Academic Enrichment Center (AEC) since 1997. His role integrates teaching foundational academic skills with leadership in student support services across the institution. His educational background includes: B.A. from Middlebury College M.S. from Johns Hopkins University M.A. from Middlebury College Bradford's academic focus centers on strengthening core literacy competencies through developmental education. He teaches Fundamentals of Writing and Developmental Reading courses while designing Boston-focused curricula like Discovering Boston that connect classroom learning with local context. His work emphasizes practical skill-building for underprepared students through structured academic interventions. As AEC Director, Bradford oversees the college-wide Writing Assessment for all incoming first-year students, determining placement and support needs. He manages both peer and professional tutoring operations while supervising Academic Enrichment course sections that provide critical scaffolding for student success in foundational subjects. Bradford leads the Academic Enrichment Center team responsible for delivering targeted academic support services. His operational framework integrates diagnostic assessment with personalized tutoring interventions, creating pathways for students to develop essential writing and reading competencies required for collegiate success.

Timothy Donohueمشاهده پروفایل

مدرس

• Bulk Materials Handling
• Discrete Element Modelling (DEM)
• Computational Fluid Dynamics (CFD)
• +۷ مورد دیگر

Dr. Timothy Donohue serves as Conjoint Lecturer in the Faculty of Engineering and Built Environment at the University of Newcastle, Australia, while also holding the position of General Manager at TUNRA Bulk Solids (The University of Newcastle Research Associates Ltd). With a Doctor of Philosophy and Bachelor of Engineering (Mechanical) (Hons) from the University of Newcastle, he has built a career centered on numerical modeling for industrial problem solving, particularly in bulk materials handling. Dr. Donohue's research expertise focuses on transfer chutes, passive dust control techniques, and calibration of parameters for Discrete Element Modeling (DEM). His work combines Computational Fluid Dynamics (CFD) with DEM to reduce dust generation in material handling systems through passive means. His foundational research on permeability of packed beds and development of packing algorithms for simulating packed beds of spheres and fibrous materials has provided a strong basis for his current work in DEM and CFD applications. His research interests encompass bulk materials handling, discrete element modeling, computational fluid dynamics, dust control, transfer chute design, bin and hopper design, and bulk material stress analysis. His publication record demonstrates consistent contributions to the field of bulk solids handling, with recent work focusing on silo quaking, gate load analysis, particle degradation effects, and advanced DEM calibration techniques. His research bridges theoretical modeling with practical industrial applications, particularly in the coal and iron ore industries. Dr. Donohue has received numerous awards recognizing his contributions, including the First Prize Winner at the 2016 Unearthed Hackathon Hunter Valley, the A.W. Roberts Award for Outstanding Young Engineer in 2015, and several other prestigious honors throughout his career. With over 170 industrial projects completed since joining TUNRA Bulk Solids in 2007, Dr. Donohue has extensive experience in both conceptual design and troubleshooting existing systems. He has supervised PhD, Master's, and Final Year Project students at the University of Newcastle and has been involved in lecturing and tutoring undergraduate courses. Additionally, he has delivered approximately 20 industry short courses since 2009, ranging from 1 to 5 days in length.

Carla Bohndickمشاهده پروفایل

استاد

• Higher Education
• Teaching and Learning in Universities
• Scholarship of Teaching and Learning (SoTL)
• +۷ مورد دیگر

Prof. Dr. Carla Bohndick serves as Professor for Teaching and Learning at the Hamburg Center for University Teaching and Learning (HUL) at the University of Hamburg since May 2024. Previously, she held a Junior Professorship with Tenure Track position at HUL from October 2017 to May 2024. Her academic career includes research assistant positions at the University of Koblenz-Landau (2016-2017) and the University of Paderborn (2011-2016). Dr. Bohndick earned her Magister Artium in Educational Science, Psychology, and Business Administration from Ludwig-Maximilians-Universität München (2007-2011), followed by a Doctor of Philosophy in Psychology from the University of Paderborn (2012-2015). Her research focuses on the psychological and social dimensions of higher education experiences. Dr. Bohndick investigates how students perceive the relevance and value of their studies, examining factors that influence academic motivation, integration, and success. She employs both quantitative and qualitative methodologies to understand the complex relationships between teaching approaches, student characteristics, and educational outcomes. A significant portion of her work addresses the Scholarship of Teaching and Learning (SoTL) and its relationship to disciplinary research. Analysis of Dr. Bohndick's recent publications reveals a consistent focus on student experiences in higher education. Her work spans multiple dimensions including psychological aspects of learning, social integration, academic motivation, and the perceived relevance of studies. She has developed several measurement instruments, including the WERT scales for assessing perceived professional and social relevance of studies and a scale for measuring study satisfaction in higher education. Her scholarship demonstrates strong connections between educational psychology and practical applications in university teaching. Dr. Bohndick has successfully supervised doctoral students including Dr. Andreas Eimer (2024) who researched employability in higher education contexts, and Dr. Jonas Breetzke (2024) who investigated disciplinary differences in student motivation. Her mentorship extends to developing measurement instruments and conducting systematic literature reviews on enhancing study relevance. As a leading researcher in the Scholarship of Teaching and Learning (SoTL), Dr. Bohndick contributes significantly to understanding the complex relationship between disciplinary research and teaching-focused inquiry in higher education contexts. Her work bridges educational psychology and practical applications in university teaching, with implications for curriculum development, faculty training, and student support services.

Heike Trautmannمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Science
• +۷ مورد دیگر

Professor Heike Trautmann is a distinguished academic at Paderborn University, where she serves as Professor of Machine Learning and Optimisation in the Department of Computer Science within the Faculty of Computer Science, Electrical Engineering and Mathematics. Since April 1, 2025, she also holds the position of Vice President for International Relations at the university. Her academic career spans prestigious institutions including the University of Münster, where she was Professor of Data Science: Statistics and Optimization from 2013 to 2023, and the University of Twente, where she serves as Guest Professor of Data Science until February 2026. Dr. Trautmann's educational background includes: University Studies in Statistics (Diploma), TU Dortmund, Germany (1997-2000) University Studies in Economic Mathematics (First Diploma), TU Dortmund, Germany (1996-1998) PhD student at Graduate School of Production Engineering and Logistics, TU Dortmund University (2002-2004) Habilitation in Statistics, TU Dortmund University, Germany (April 15, 2013) Professor Trautmann's research program centers on cutting-edge topics in artificial intelligence and optimization. Her primary research interests include (Trustworthy) Artificial Intelligence, Machine Learning, Data Science, Automated Algorithm Selection and Configuration, Exploratory Landscape Analysis, (Multiobjective) Evolutionary Optimisation, and Data Stream Mining. She leads the Machine Learning and Optimisation research group at Paderborn University, which develops innovative approaches for understanding and improving optimization algorithms through landscape analysis and automated configuration techniques. Her work bridges theoretical foundations with practical applications, particularly in the domains of trustworthy AI and algorithm selection. Her extensive publication record reveals a clear trajectory toward increasingly sophisticated integration of deep learning with traditional optimization techniques. Recent work demonstrates a strong focus on multi-objective optimization problems, exploratory landscape analysis using deep learning methods, and the development of automated algorithm configuration systems. A notable trend is the application of transformer architectures to landscape analysis, as seen in her Deep-ELA work, which represents a significant innovation in the field. Her research consistently addresses the challenge of characterizing complex optimization problems to enable better algorithm selection and configuration. Professor Trautmann has received notable recognition for her scholarly contributions, including: GECCO Best Paper Award for "Deep reinforcement learning for instance-specific algorithm configuration" As an academic leader, Professor Trautmann has secured significant research funding for projects including "Towards Robustness of Disinformation Campaign Detection Algorithms in Open Online Media in the Context of Trustworthy AI" and "Automated rail transport as a backbone for sustainable, networked mobility in rural areas." She actively mentors students through her teaching of advanced courses in machine learning, optimization, and data science. Her industry connections, stemming from her previous work as an Analytics Consultant at Roland Berger Strategy Consulting, enable her to bridge academic research with practical applications. Professor Trautmann leads the Machine Learning and Optimisation research group at Paderborn University, which collaborates extensively with international partners. She is a key supporter of the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE) and a member of the European Research Center for Information Systems (ERCIS). Her group maintains strong connections with research centers across Europe, particularly through her involvement with the Transregional Collaborative Research Centre 318.