جستجوی استاد راهنمای دانشگاهی

Yonathan Arbelمشاهده پروفایل

استاد

• Artificial Intelligence
• Commercial Law
• Consumer Law
• +۳ مورد دیگر

Yonathan Arbel serves as the William Alfred Rose Professor of Law and Director of the AI Legal Studies Initiative at the University of Alabama School of Law, where he has been a faculty member since 2017. His interdisciplinary scholarship bridges artificial intelligence, commercial law, and economic analysis, establishing him as a leading voice in law and technology. His educational background includes: Doctoral degree in law and economics from Harvard Law School (Olin and Byse fellow) JSM degree from Stanford Law School Joint degree in Law and Humanities (summa cum laude) from Hebrew University in Jerusalem Professor Arbel's research integrates doctrinal, economic, and socio-legal methodologies to address contemporary challenges in contract interpretation, defamation, and AI regulation. His work demonstrates exceptional innovation in applying machine learning to legal text analysis and developing market-based solutions for information integrity. He has pioneered empirical approaches to studying contract readability and nano-contracts, while his status theory of defamation law redefines traditional frameworks through sociological lenses. His publication trajectory reveals a strategic pivot toward AI-law intersections since 2022, with 10 of 15 most recent articles focusing on artificial intelligence applications, regulation, and safety. This builds upon his foundational work in commercial law and defamation, creating a cohesive research program examining how technological change reshapes legal doctrines and enforcement mechanisms. His scientific recognition includes: Olin and Byse fellowships at Harvard Law School Winner of the American College of Consumer Financial Services Writing Competition (2021) Four teaching distinction awards Multiple selections for prestigious workshops including Stanford/Yale/Harvard Junior Faculty Forum As Director of the AI Legal Studies Initiative, Professor Arbel leads interdisciplinary collaborations exploring regulatory frameworks for emerging technologies. His publicly available teaching tools—including the Hypo Name Generator and Law Review Article Template—demonstrate commitment to pedagogical innovation. Prior consultancy experience (2010-2017) informs his practical approach to contract design and regulatory implementation. The AI Legal Studies Initiative serves as his primary research hub, fostering cross-disciplinary dialogue between legal scholars, computer scientists, and policymakers to address pressing challenges in algorithmic accountability and AI governance.

Torbjörn Larssonمشاهده پروفایل

استاد

• Mathematical Optimization
• Operations Research
• Linear Programming
• +۱۰ مورد دیگر

Torbjörn Larsson is a Professor in the Department of Mathematics at Linköping University, affiliated with the Division of Applied Mathematics (TIMA). His work bridges theoretical and applied optimization with significant impact in healthcare, logistics, and finance. His research interests include Mathematical Optimization , Operations Research , Brachytherapy Treatment Planning , Vehicle Routing , and Portfolio Optimization . He develops advanced algorithms such as Lagrangian heuristics, metaheuristics, and feasible direction methods to solve complex decision problems. The recent publications indicate a strong focus on developing bounding techniques and heuristic frameworks for discrete and multi-objective optimization, with applications ranging from radiation therapy to transportation logistics. His work emphasizes both theoretical rigor and practical implementation. Scientific Contributions: Development of novel optimization methods for brachytherapy treatment planning Advancement of Lagrangian and metaheuristic frameworks Application of optimization in finance (portfolio selection) and scheduling He collaborates extensively on research projects involving mathematical modeling and algorithm design. While specific advising roles are not listed, his co-authorship with junior researchers suggests mentorship activity. He has contributed to projects on decision support systems for scheduling and large-scale optimization in finance. Laboratories and Research Groups: Applied Mathematics (TIMA), Department of Mathematics, Linköping University Research environment focused on optimization and its applications in medicine and logistics

Hao-Chuan Wangمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Computer-Supported Cooperative Work (CSCW)
• Human-Centered AI
• +۱۳ مورد دیگر

Hao-Chuan Wang is an Associate Professor in the Department of Computer Science at the University of California, Davis, with affiliations in the Electrical and Computer Engineering Graduate Program. He previously served as a faculty member at National Tsing Hua University, Taiwan, from 2012 to 2018, where he was promoted to tenured Associate Professor. He holds a Ph.D. in Information Science from Cornell University and has conducted postgraduate research at Carnegie Mellon University and Academia Sinica. His research lies at the intersection of Human-Computer Interaction (HCI), Computer-Supported Cooperative Work (CSCW), and Human-Centered AI, with a strong emphasis on collaborative systems, hybrid and remote work, video-mediated communication, and inclusive design for education and wellbeing. He employs mixed-method, human-centered approaches to design systems that support knowledge transfer, equity, and social interaction in distributed environments. His recent publications focus on AI-supported learning, fairness in group work, reflective tools, and cross-cultural interactions with large language models. These works are published in top-tier venues such as CHI, CSCW, CUI, and WWW, reflecting his impact in the HCI community. His scientific contributions have been recognized with several awards, including Best Student Paper at The Web Conference 2021, Best Demo Award at Augmented Humans 2021, Distinguished Paper Award at PACM IMWUT 2018, and multiple Honorable Mention awards at CHI and CSCW. Best Student Paper Award, The Web Conference (WWW) 2021 Best Demo Award, Augmented Humans International Conference 2021 PACM IMWUT Distinguished Paper Award, Ubicomp 2018 Honorable Mention Paper Award, CHI 2015 Honorable Mention Paper Award, CHI 2018 Honorable Mention Paper Award, CSCW 2018 Best Poster Award, ITS 2006 Wang actively contributes to the academic community through leadership roles in ACM SIGCHI, including serving as VP Finance (2024–2027), Workshop Chair for CHI 2025–2026, and Associate Editor for the Journal of Information Science and Engineering. He has advised numerous students whose research appears in major conferences, and his work bridges computer science, communication, design, and learning sciences, reflecting a deeply interdisciplinary and impactful scholarly profile.

Tillman Weydeمشاهده پروفایل

دانشگاهی

• Machine Learning
• Signal Processing
• Data Analysis
• +۵ مورد دیگر

Dr. Tillman Weyde is a Reader in the Department of Computer Science at City, University of London , where he has been employed since 2021. He leads the Machine Intelligence and Media Informatics Research Group and is a member of the Machine Learning Group . Prior to this, he served as Senior Lecturer (2009–2021) and Lecturer (2005–2009) at City, and worked as a researcher at the University of Osnabrück (2001–2005), coordinating the MUSITECH project. His academic background includes PhD in Music Technology (2002), MSc in Computer Science (1999), and MSc in Mathematics, Music, Philosophy & Pedagogy (1994), all from the University of Osnabrück. Research Focus: Machine learning and signal processing methods for data analysis with applications in finance, audio, NLP, music, health, security, and education. His recent work emphasizes inductive biases in neural networks for rule-learning, extrapolation, generalization, and interpretability. Grants & Projects: Principal Investigator for the AHRC-funded Digital Music Lab (2012–2017) and Integrated Audio-Symbolic Model of Music Similarity (2017–present). Co-investigator in Innovate UK and EPSRC projects on safer gambling ( Advancing Consumer Protection , 2015–2018) and Raven (2012–2021). Collaborations: Affiliated with the Institute of Cognitive Science (Osnabrück), Intelligent Systems Research Laboratory (Reading), and the MPEG Ad-Hoc Group on Symbolic Music Representation. Awards: Co-author of the 2000 Comenius Medal-winning educational software Computer Courses in Music Ear Training and co-editor of the Osnabrück Series on Music and Computation . Publications: Over 150 peer-reviewed works including conference papers, journal articles, and book chapters, focusing on interdisciplinary applications of machine learning in music, health, and finance. Students: Supervised 13 PhD students across topics like grammar bias in neural networks, emotion recognition from audio, extrapolation behavior in neural networks, relation-based patterns, legal text parsing, and more.

• Human-Computer Interaction
• Autism Research and Assistive Technologies
• Mental Health Applications
• +۷ مورد دیگر

Hwajung Hong is an Associate Professor in the School of Interactive Computing at Georgia Institute of Technology's College of Computing. With a prolific publication record spanning from 2009 to 2025, Dr. Hong has established herself as a leading researcher at the intersection of Human-Computer Interaction, accessibility, and mental health applications. Her work frequently appears in top-tier venues including CHI, CSCW, and DIS, with growing emphasis on AI/LLM applications in recent years. Dr. Hong's research focuses on designing technology for vulnerable populations, particularly individuals with autism spectrum disorder, mental health challenges, and neurodiverse communities. Her early work centered on social computing applications for autism support, evolving toward more comprehensive systems addressing mental wellness, stress management, and relationship dynamics. Recent publications demonstrate a strategic pivot toward leveraging large language models for healthcare interventions, communication support, and bias mitigation. Analysis of her 15 most recent publications reveals a strong trajectory toward AI-mediated interventions across multiple domains - from mental health support for Korean investigative officers to communication tools for minimally verbal autistic children. Her work consistently emphasizes user-centered design, cultural sensitivity, and practical implementation in real-world contexts rather than purely theoretical approaches. Dr. Hong has mentored numerous graduate students who have become productive researchers in their own right, with Kwangyoung Lee, Dasom Choi, and Hyunseung Lim appearing as frequent collaborators on recent publications. Her research program demonstrates remarkable continuity in addressing human-centered challenges while adapting methodologies to incorporate emerging technologies.

Alex Weissensteinerمشاهده پروفایل

استاد

• Quantitative Finance
• Financial Engineering
• Asset Allocation
• +۴ مورد دیگر

Alex Weissensteiner is a Full Professor of Quantitative Finance and Rector at the Free University of Bozen-Bolzano (unibz). He previously held academic positions at Leopold Franzens University in Innsbruck, the University of Liechtenstein, and served as Professor of Financial Engineering at the Technical University of Denmark from 2013–2015. At unibz, he held leadership roles including Director of the Bachelor's Degree in Economics and Management (2015–2020) and Pro-Rector for Studies (2020–2024) before becoming Rector in 2024. His research focuses on Life-cycle asset allocation Parameter uncertainty in financial models Scenario generation for investment decisions Asset-liability management Market microstructure dynamics Information economics in financial markets Recent publications emphasize portfolio optimization under uncertainty, option-implied risk analysis, and agricultural risk management. His work combines theoretical finance with empirical validation, often applying quantitative methods to banking, insurance, and pension systems. Scientific recognition includes EU grants for "Understanding Pensions in Europe" (2016) and "Understanding Saving in Europe" (2019) Regular contributions to leading journals like Journal of Banking & Finance and Quantitative Finance Invited presentations at major finance conferences (Jackson Hole, AFA, DGF) As Rector, he maintains active research collaborations with scholars including Mogens Steffensen (University of Copenhagen), N. Branger, T. Dangl, and L. Garlappi. He serves on the editorial board of Risks journal and has consulted for provincial education policy bodies.

Yackolley Amoussou-Guenouمشاهده پروفایل

استاد

• Blockchain
• Consensus
• Distributed Systems
• +۱ مورد دیگر

Yackolley Amoussou-Guenou is a Professor in Computer Science at Paris-Panthéon-Assas University, affiliated with the Center for Research in Economics and Law (CRED). His work focuses on blockchain technologies, consensus algorithms, distributed systems, and algorithmic game theory. He earned a Doctorate in Computer Science from Sorbonne University in 2020. His research explores the intersection of game theory and blockchain security, analyzing rational player behaviors, fairness mechanisms, and consensus robustness. His publications highlight trends in committee-based blockchain design, adversarial modeling, and formal verification of consensus protocols. He has contributed to venues including The Review of Financial Studies and conferences like OPODIS, NETYS, and AAMAS. His teaching includes Data Science, Python programming, and Computer Science Fundamentals, reflecting his expertise in both theoretical and applied distributed systems research.

Martin Mullinsمشاهده پروفایل

استاد

• Risk
• Insurance
• Ethics
• +۴ مورد دیگر

Martin Mullins is Professor in Risk and Insurance at the Kemmy Business School, University of Limerick, where he co-leads the Emerging Risk Group. He holds dual affiliations as Visiting Professor at Vicomtech Foundation (Basque Country, Spain) and member of both the Centre for Emerging Risk Studies and Lero – the Irish Research Centre for Software. His cross-institutional roles include serving as data ethicist for the Central Bank of Ireland and teaching risk/ethics modules for Ireland's national MSc in Artificial Intelligence. His research centers on the convergence of emerging technologies and risk governance, with specific expertise in AI ethics for insurance applications, cyber risk transfer mechanisms, and ethical implications of autonomous systems. Recent work examines trust deficiencies in generative AI for high-stakes insurance decisions, efficacy of cyber insurance markets, and gamified training for financial crime detection – consistently bridging theoretical frameworks with regulatory practice. Analysis of his 2024 publications reveals three dominant trends: (1) Critical examination of AI's role in insurance underwriting, particularly trust barriers in ChatGPT applications; (2) Structural analysis of cyber insurance markets with focus on German regulatory models and reinsurance solutions; (3) Innovation in financial crime detection through behavioral training methodologies. These outputs demonstrate his interdisciplinary approach spanning technology ethics, risk modeling, and regulatory policy. Professor Mullins has secured significant research funding through four EU Commission projects including VIDAS and Cloud-LSVA (funded under MG3.6 and ICT 16 calls), investigating risk metrics and privacy frameworks for assisted driving systems. His work actively contributes to United Nations Sustainable Development Goals related to responsible technology development and ethical innovation. He co-leads the Emerging Risk Group at University of Limerick, collaborating with Lero on software risk initiatives and with Vicomtech Foundation on Basque-region technology ethics projects. Current engagements include advising the European Insurance and Occupational Pensions Authority (EIOPA) as member of their Digital Ethics in Insurance Expert Group.

• Marketing
• Digital Marketing
• Advertising
• +۵ مورد دیگر

Jelena Gajic is a Professor at the University of Singidunum in Belgrade, Serbia, where she serves in the Faculty of Business within the Department of Marketing. With a comprehensive academic background and extensive publication record, she has established herself as a leading scholar in marketing, advertising, and consumer behavior fields. Doctoral studies at Singidunum University, Belgrade (2008-2011) Master's studies in International Marketing at Faculty of Economics, University of Belgrade (2001-2004) Basic studies in Marketing at Faculty of Economics, University of Belgrade (1992-1997) Cultural and Linguistic studies at XIII Belgrade High School (1988-1992) Professor Gajic's research spans multiple marketing domains with particular emphasis on digital transformation in marketing practices. Her work bridges traditional marketing theories with contemporary digital applications, examining how technologies like AI and neuromarketing are reshaping marketing strategies. She has made significant contributions to understanding social media marketing effectiveness, advertising in digital environments, consumer behavior in tourism contexts, and marketing challenges in higher education institutions. Her research methodology often combines theoretical frameworks with empirical testing, including A/B testing and advanced analytical approaches. Her recent publications demonstrate a clear trajectory toward technology-integrated marketing research. There's a strong emphasis on digital marketing channels, particularly social media platforms like Instagram, and their effectiveness across various contexts including higher education, tourism, and creative industries. Her work increasingly incorporates advanced analytical methods, including AI applications and neuromarketing research, to understand consumer responses. The pandemic's impact on travel behavior and digital communication strategies has also been a significant focus of her recent research, reflecting her ability to address contemporary challenges in marketing. While specific awards aren't documented in the available information, her substantial publication record in reputable journals such as The European Journal of Applied Economics, TEME - Journal of Social Sciences, and others indicates professional recognition within her academic community. Though specific advisees aren't listed in the available information, Professor Gajic's extensive publication record, particularly her work on student perspectives in higher education, suggests active involvement in mentoring and supervising student research. Her leadership in organizing conferences like Sinteza and FINIZ indicates significant contributions to academic community building. Her research on digital marketing, tourism, and consumer behavior has likely been supported by various institutional grants, though specific funding sources aren't detailed in the available information.

• Business Process Management
• Process Mining
• Object-Centric Process Mining
• +۶ مورد دیگر

Amin Jalali is an Associate Professor of Computer and Systems Sciences at Stockholm University, specializing in business process modeling, analysis, and management. He is affiliated with the Department of Computer and Systems Sciences within the Faculty of Social Sciences, where he serves as a board member and manages three graduate courses: Business Process Design and Intelligence, Business Process and Case Management, and Data Warehousing. Institution: Stockholm University Department: Department of Computer and Systems Sciences (DSV) Research Groups: Natural Language Processing Research Group and PRECIS (Process, Requirements, Enterprise, Capability, Information Systems modelling) His research focuses on business process analysis through model-based and data-driven techniques, with particular emphasis on process simulation, process mining, event knowledge graphs, and object-centric process mining. He has led numerous research projects across healthcare, education, and finance domains. His work includes significant contributions to the development of NLP methods involving large language models, with focus on privacy, explainability, and domain adaptation. Jalali's research output shows a strong trend toward practical applications of process mining techniques, particularly in healthcare contexts like drug-drug interaction analysis and elderly care. More recently, his work has expanded into blockchain applications for fraud detection, motor imagery signal classification, and advanced object-centric process mining approaches. His publications span both theoretical contributions to business process management frameworks and practical implementations in real-world settings. He has extensive industry experience in designing and implementing Business Intelligence and Big Data Analytics solutions, which informs his academic work and teaching approach. His research has been published consistently from 2012 through 2024, demonstrating sustained scholarly productivity in his field. Dr. Jalali has contributed significantly to the development of tools and libraries for process mining, including the dfgcompare library for process variant analysis and implementations for object-centric process mining. His work bridges academic research with practical applications, particularly evident in healthcare projects like the DDIs-Graph system for identifying drug-drug interactions.

Stephanie Ben-Ishaiمشاهده پروفایل

استاد

• Bankruptcy Law
• Contract Law
• Commercial Law
• +۳ مورد دیگر

Stephanie Ben-Ishai serves as a Distinguished Research Professor at Osgoode Hall Law School, York University, where she is nationally and internationally recognized for expertise in bankruptcy, contract, and commercial law. Her scholarship has been cited by every level of Canadian court, and she has provided expert testimony in Canadian and American judicial proceedings while advising governments and regulatory bodies on insolvency matters. Her academic credentials include: LLB from Osgoode Hall Law School LLM from Harvard Law School as Fulbright Scholar and SSHRC Doctoral Scholar Professor Ben-Ishai's research focuses on systemic vulnerabilities in financial systems, with particular emphasis on consumer bankruptcy, payday lending regulation, and the intersection of law with social justice. Her work examines how over-indebtedness impacts marginalized populations and proposes innovative debt relief mechanisms, consistently bridging theoretical scholarship with practical law reform. Recent scholarship addresses emerging challenges including AI-driven credit discrimination and cannabis industry bankruptcy. Her 2019-2023 publications reveal a strategic focus on contemporary financial crises, analyzing high-cost lending practices, pandemic-related insolvency trends, and cross-border regulatory challenges in emerging industries. This body of work demonstrates methodological diversity spanning empirical analysis, comparative law, and policy-oriented scholarship with increasing attention to technological disruption in credit markets. Her accolades include: American Bankruptcy Institute Medal of Excellence York University Distinguished Research Professor INSOL International Scholar Distinguished Fulbright Fellowship Sprout Fellowship in Canadian Studies Thomas Feeney Visiting Professorship Professor Ben-Ishai has supervised graduate research in bankruptcy and financial regulation while securing substantial research funding: Four SSHRC grants as Principal Investigator Law Foundation of Ontario funding Law Commission of Canada research support Industry Canada grants Schulich School of Business National Research Program awards She co-founded and edits the Insolvency Institute of Canada Law Journal and directs the Osgoode Business Clinic providing pro bono legal services to small enterprises. Her international engagement includes visiting professorships at eight law schools across four countries and active participation in global insolvency research networks.

• Decision Support Systems
• Energy Management
• Sustainable Energy Planning
• +۸ مورد دیگر

Dr. Vangelis Marinakis is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). His academic background includes an Electrical and Computer Engineering degree and a PhD in Decision Support Systems for Sustainable Energy Planning from NTUA. PhD in Decision Support Systems for Sustainable Energy Planning (NTUA) Electrical and Computer Engineer (NTUA) His research focuses on designing methodologies for intelligent energy management across Smart Homes, Buildings, Cities, and Districts, leveraging technologies like IoT, AI, and Big Data. He has contributed to over 25 European (Horizon Europe, H2020) and national projects, with more than 50 journal publications and book chapters. Key research areas include Decision Support Systems , Energy Efficiency , and Renewable Energy Integration . He has led research in AI-driven energy forecasting, federated learning for privacy-preserving data models, and blockchain applications in energy markets. His work explores the intersection of Smart Grids , Building Informatics , and Climate Resilience . Dr. Marinakis has developed frameworks for: Decarbonization-as-a-Service in building renovations Scalable Big Data architectures for smart buildings Multi-criteria optimization of EV charging stations Explainable AI in energy decision-making Climate resilience assessment for urban housing

Noah Lindenمشاهده پروفایل

استاد

• Quantum Information Theory
• Mathematical Physics
• Quantum Computing
• +۳ مورد دیگر

Professor Noah Linden is a faculty member in the School of Mathematics at the University of Bristol , holding the title of Professor of Theoretical Physics. His research focuses on Quantum Information Theory , Mathematical Physics , and related areas in quantum computing and thermodynamics. He has contributed to 105 research outputs and leads projects such as Reliable and Robust Quantum Computing and Compilation and Verification of Quantum Software . Key research themes include quantum scrambling, entanglement dynamics, and applications in biophysics. His work has been cited in studies on quantum dots, qubit manipulation, and nonlocality limits. He has also contributed datasets on exciton dynamics in purple bacteria and collaborated on projects analyzing decoherence and disorder effects in photosynthetic systems. Professor Linden serves as an editor for the Journal of Physics A: Mathematical and General and maintains active collaborations across quantum information, quantum computing, and interdisciplinary physics. His research output includes foundational studies on quantum error correction, measurement theory, and computational advantages.

Lindsey M. Yonishمشاهده پروفایل

استادیار

• Organizational Behavior
• Stakeholder Theory
• Social Inequality in Organizations
• +۲ مورد دیگر

Lindsey M. Yonish serves as Assistant Professor in the Management and Entrepreneurship academic area at the University of Kansas School of Business, where her research examines organizational interfaces with social environments through stakeholder, sociological, and social psychological lenses. Education: Ph.D. in Management, Texas A&M University, 2024 B.S., Northeastern University, 2019 Her scholarly work investigates organization-stakeholder relationships and systemic inequality perpetuation within corporate structures, with particular focus on contemporary phenomena like organizational cancellation, gender dynamics in leadership, and AI's societal implications. This interdisciplinary approach bridges management theory with critical social analysis to address power imbalances in organizational contexts. Recent publications reveal evolving research trajectories examining stakeholder theory applications to emerging technologies, gender diversity impacts on strategic decision-making, and social evaluation mechanisms affecting organizational legitimacy. These works collectively demonstrate methodological innovation through big data applications while maintaining strong theoretical grounding in organizational sociology.

Natalia Kliewerمشاهده پروفایل

استاد

• Optimization in transport and traffic
• Robust planning
• Delay management
• +۱۰ مورد دیگر

Prof. Dr. Natalia Kliewer is a Professor of Business Informatics at the Free University of Berlin, where she leads the Professorship for Business Information Systems within the Department of Business Informatics in the Faculty of Economics and Business Administration. She has been serving in this position since 2009, following a Junior Professorship at the University of Paderborn from 2005-2009. Free University of Berlin (2009-present): Professor of Business Informatics University of Paderborn (2005-2009): Junior Professorship for Business Informatics and Operations Research Doctorate from University of Paderborn (2005) Studies in Information Systems at Kirgisischen Technischen Universität and Business Informatics at Münster and Paderborn (until 2000) Prof. Kliewer's research focuses on optimization in transport and traffic systems, with particular expertise in robust planning approaches, delay management, and airline revenue management. Her work bridges business informatics with practical transportation challenges, developing algorithms and decision support systems that enhance efficiency in public and air transportation networks. She has made significant contributions to integrated vehicle and crew scheduling, timetabling, and resource deployment planning that can withstand disruptions and uncertainties in real-world operations. Her recent publications demonstrate a strong trend toward addressing sustainability challenges in transportation, particularly through the integration of e-mobility solutions in public transport systems. Her research increasingly combines traditional operations research methods with data-driven approaches, including machine learning for travel time prediction and robust schedule generation. The work spans multiple transportation modes including buses, trains, and aircraft, with a consistent focus on developing integrated optimization approaches that consider multiple planning stages simultaneously. Member of the Advisory Board of the German Society for Operations Research (since 2013) Mentored students receiving prestigious awards including the GOR Bachelor Prize (Felix Becker) Prof. Kliewer has supervised numerous doctoral students including Dr. Lucas Mertens and Dr. Max Gerlach, and has advised multiple bachelor's and master's theses. Her research is supported by significant grants from the German Research Foundation (DFG), including multiple projects on robust efficiency in resource deployment plans for air transport and public transportation. She leads the BERLIN MOBILITY DATA HUB initiative and has secured funding for projects on e-mobility infrastructure planning and smart mobility solutions. She leads a research team that includes doctoral students, postdoctoral researchers, and student assistants working on various aspects of transportation optimization. Her group collaborates closely with transportation operators and industry partners to ensure practical relevance of their research. Current projects focus on AI-enhanced hybrid optimization for personnel scheduling, robust planning in public transport, and blockchain applications for secure documentation in aviation maintenance.