Find Academic Supervisors

• Supply Chain Management
• Logistics
• Artificial Intelligence
• +3 more

Batin Latif AYLAK serves as Associate Professor in the Department of Industrial Engineering at the Faculty of Engineering, Turkish-German University, Turkey. Previously, he held an Assistant Professor position at Hitit University starting in 2015. His academic career spans over a decade of research at the intersection of industrial engineering, logistics, and artificial intelligence. His educational foundation includes: Doctorate in Mechanical Engineering from University of Duisburg-Essen (2010-2015) Master's degree in Mechanical Engineering from University of Duisburg-Essen (2008-2010) Bachelor's degree in Industrial Engineering from Istanbul Kültür University (2001-2006) with full scholarship Dr. AYLAK's research pioneers the integration of artificial intelligence in supply chain optimization, with particular emphasis on sustainable logistics systems. His work bridges theoretical advancements with practical applications in blockchain implementation for supply chain transparency, machine learning-driven energy forecasting, and intelligent warehouse management. He has developed novel frameworks like SustAI-SCM for agentic AI in sustainable supply chains and contributed significantly to understanding digital transformation in Turkey's logistics sector. His publication trajectory (2021-2025) reveals a strategic evolution from foundational logistics research toward cutting-edge AI applications. Early work focused on optimization algorithms and blockchain integration, while recent publications demonstrate leadership in agentic AI systems for sustainability, advanced predictive modeling for renewable energy, and pandemic-responsive supply chain solutions. This progression highlights his adaptation to emerging technological paradigms while maintaining core focus on supply chain resilience. No scientific awards or fellowships were documented in the provided materials. Dr. AYLAK has secured competitive research funding including project BAP TAÜ - 2018BM0028 for digital trend analysis in Turkey's logistics sector. While his publications indicate collaborative research with multiple co-authors across institutions, no formal graduate student advisement relationships were specified in the available documentation.

• Computational Logic
• Answer Set Programming
• Bioinformatics
• +6 more

Alessandro Dal Palu' is an Associate Professor at the Department of Mathematical, Physical, and Computer Sciences at University of Parma. He holds a PhD in Computer Science from University of Udine and has been with University of Parma since 2005, transitioning from Researcher to Associate Professor in 2014. His teaching portfolio includes courses on Computer Architecture, Constraint Programming, and Algorithms & Data Structures. His research spans computational logic, bioinformatics, and GPU computing. Notable achievements include the 2007 GULP award for his Ph.D. thesis and the ICLP 2010 best paper award. He has led Italian INdAM-GNCS research projects on GPU applications (2011) and Logic Programming in cancer genomics (2016). Recent publications focus on explainable AI frameworks, bioinformatics applications, and sustainable logistics solutions. His work integrates Answer Set Programming with biomedical challenges like protein structure analysis and cancer genome evolution. He chairs the International Conference on Logic Programming (ICLP 2018) and has organized multiple international workshops on constraint programming. 2007 GULP Award ICLP 2010 Best Paper PI for INdAM-GNCS projects (2011, 2016) Program Committee member for international conferences

Mariam Adedoyin-OloweView profile

Lecturer

• Data Mining
• Data Science
• Artificial Intelligence
• +3 more

Mariam Adedoyin-Olowe is a Lecturer and Programme Leader for the MSc Artificial Intelligence at Birmingham City University . Her research focuses on Data Mining, Data Science, and Artificial Intelligence, particularly in analyzing social media data for event detection and decision-making support. Doctorate in Computing Science from Robert Gordon University First degree from University of Portsmouth Research Interests center on applying data mining techniques to Twitter data for tracking real-world events, sentiment analysis, and customer segmentation. Her work bridges computational methods with practical applications in politics, sports, and healthcare domains. Key Publications include studies on: Transformer-based transfer learning for cross-lingual news events AI-driven mental fatigue detection systems Temporal clustering methods for social media event resolution Deep learning approaches for sound classification Rule dynamics frameworks for political event detection Academic Affiliations include membership in BCU's Data Mining Group and Data Analytics & Artificial Intelligence Research Group, as well as former involvement with RGU's Data Science and Information Retrieval groups. She regularly reviews for international conferences and journals.

• Naval Engineering
• Marine Propulsion
• Hybrid Propulsion Systems
• +6 more

Raphael Zaccone serves as an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering at the University of Genoa, where he is an active member of the department board. He teaches core courses including Military Ships (NAVI MILITARI), Naval Propulsion (PROPULSIONE NAVALE), and Naval Plants (IMPIANTI NAVALI) for the Naval Engineering degree program, as well as Ship Plants and System Safety for Maritime Science and Technology students. His research centers on sustainable maritime innovation, with primary focus areas in hybrid propulsion systems, alternative fuels (particularly methanol conversions), ship safety protocols, and autonomous navigation technologies. Key specialties include energy management strategies for reducing environmental impact, structural solutions for yacht refits, and collision avoidance algorithms compliant with international maritime regulations. His work bridges theoretical modeling with practical engineering applications to address critical challenges in modern naval architecture. Recent publications (2023-2025) reveal a pronounced trend toward maritime cybersecurity and AI-driven safety systems, with significant emphasis on LiDAR-based situational awareness, battery storage optimization for naval vessels, and evaluation frameworks for alternative marine fuels. Approximately 40% of his current work addresses autonomous ship navigation challenges, while 30% focuses on decarbonization through methanol propulsion and waste heat recovery systems, demonstrating strategic alignment with global maritime sustainability initiatives.

Carlos Espaliu BerdudView profile

Professor

• Public International Law
• International Relations
• International Security
• +3 more

Carlos Espaliu Berdud is a Professor at the School of Law and International Relations, Nebrija University. He is affiliated with research groups CINSEDAT (Security, Rule of Law, and High Technologies) and SEGERICO (Security, Risk Management, and Conflict). His work focuses on Public International Law and International Relations. Research Interests: Public International Law International Relations European Union Law Human Rights Disinformation Regulation Maritime Security Recent Article Trends: His publications examine legal frameworks for international disinformation accountability, EU defense policies, maritime jurisdiction expansion, and the intersection of human rights with pandemic governance. Key themes include judicial legitimacy, supranational identity, and ethical norms in global crises. Projects & Labs: Active in CINSEDAT and SEGERICO research groups, focusing on security, rule of law, and technology integration in international systems.

Gertjan de GrootView profile

Lecturer

• Urban Governance
• Boundary Spanning
• Metropolitan Policy
• +5 more

Gertjan de Groot is a Lecturer and Researcher at the Hogeschool van Amsterdam , specifically within the Faculty of Applied Social Sciences and Law (FASSL) , under the Coordination of Urban Issues . His work centers on boundary spanning , urban governance , and metropolitan policy , with a strong focus on how professionals navigate complex, cross-domain challenges in city governance. His research interests include: Boundary spanning practices in municipal governance Urban sustainability and citizen participation Policy implementation and change management Cross-domain collaboration in metropolitan areas His recent publications span from evaluating citizen councils in Amsterdam to developing frameworks for professionals working on interdisciplinary urban challenges. His work often explores how boundary spanners —professionals who bridge institutional or disciplinary divides—operate in volatile, complex urban environments. Scientific Contributions: Lead author of Boundary spanners in actie (2023), a widely accessed report on cross-boundary urban governance Published evaluations of citizen participation processes in cities Developed practice-based tools for municipal professionals Professional Engagement: Regular invited speaker at academic and professional events Contributor to policy-oriented reports and public-sector toolkits Active in organizing and participating in governance and urban studies conferences While no specific students or awards are listed, his extensive publication record and active engagement in both academic and practitioner communities highlight his role as a key figure in applied urban governance research in the Netherlands.

• Environmental Law
• Urban Environmental Policy
• Environmental Justice
• +7 more

Heidi Gorovitz Robertson serves as the Steven W. Percy Endowed Professor of Law and Urban Affairs at Cleveland State University College of Law, where she has been a faculty member since 1995. She additionally holds a joint appointment with the Environmental Studies faculty at the Maxine Goodman Levin College of Urban Affairs, reflecting her interdisciplinary expertise in urban environmental governance. Her educational credentials include a BA from Tufts University (1985), JD from University of Wisconsin (1990), LLM from Columbia University (1995), and JSD from Columbia University (2002). Prior to academia, she practiced environmental law at Pillsbury, Madison & Sutro in San Francisco and Washington, D.C. Professor Robertson's research centers on urban environmental justice , land access rights , and energy regulation , with particular focus on demographic disparities in environmental risk exposure, brownfields redevelopment, and hydraulic fracturing policy. Her scholarship critically examines municipal authority in environmental matters, comparing Scandinavian and European approaches to public land access while analyzing Ohio's regulatory framework for oil and gas development. Analysis of her 15 most recent publications reveals consistent engagement with local governance challenges in environmental regulation, particularly regarding shale development, pipeline routing, and municipal responses to state preemption. Her work demonstrates evolving focus from theoretical environmental ethics toward practical regulatory solutions for urban communities facing energy extraction conflicts. Her distinguished recognition includes: 2013 Wilson G. Stapleton Award for Faculty Excellence 2013 McNair Scholars Mentor of the Year Fulbright Senior Specialist appointment at Uppsala University (2009) Multiple University Faculty Merit Recognition Awards (2005, 2008, 2010) Professor Robertson has provided substantial institutional leadership as Associate Dean for Academic Enrichment (2009-2014) and through external service on the Clean Air Conservancy Board of Trustees (1999-2007) and Ohio Lake Erie Commission's Blue Ribbon Task Force. Her mentorship of McNair Scholars exemplifies commitment to undergraduate research development in environmental justice. Her affiliation with the Levin College of Urban Affairs facilitates interdisciplinary collaboration on urban sustainability initiatives, connecting legal scholarship with practical urban planning challenges in Cleveland and beyond.

Johannes MäkelburgView profile

Researcher

• Cyber-Physical Systems
• Uncertainty Representation
• Knowledge Graphs
• +3 more

Johannes Mäkelburg is a Doctoral Researcher at Technische Universität München , affiliated with the Chair of Data Engineering . His research focuses on addressing challenges related to uncertainty in cyber-physical systems , conducted in collaboration with the Collaborative Research Center (CRC) 1608 . He holds an M.Sc. in Mathematics from Ruhr-Universität Bochum (2021-2023) and a B.Sc. in Business Mathematics from the University of Trier (2017-2021). Research Interests : Uncertainty Representation, Knowledge Graphs, Graph Neural Networks, Data Engineering, Machine Learning Teaching : Seminar on Knowledge Graphs (INHN0015, INHN4006), Practical Course in Data Engineering (INHN0021) Email : johannes.maekelburg@tum.de His recent publications explore the intersection of knowledge graphs and uncertainty modeling in cyber-physical systems. Key contributions include unified frameworks for uncertainty representation and automation techniques for invoice validation using semantic technologies.

• Numerical Analysis
• Machine Learning
• Optimization
• +3 more

Luca ZANNI is a Full Professor at the Department of Physical, Computer and Mathematical Sciences, Università di Modena e Reggio Emilia. His academic career spans numerical analysis, machine learning, and optimization methods, with a focus on gradient projection algorithms, stochastic gradient techniques, and their applications in imaging and deep learning. His research includes developing adaptive steplength rules for gradient methods, variance control in stochastic optimization, and GPU-accelerated reconstruction techniques for medical imaging. He teaches courses such as Numerical Calculation with Python, Fundamentals of Machine Learning, and Mathematical Methods for Machine Learning, covering topics like numerical optimization, support vector machines, and deep learning. He has contributed to methodologies for hyperparameter-free training, active set identification in constrained optimization, and edge-preserving image reconstruction. His work bridges theoretical advancements in optimization with practical implementations in large-scale machine learning and medical imaging applications.

• Public Economics
• Political Economy
• Taxation
• +3 more

Pierre Boyer is a Full Professor of Economics at École polytechnique – CREST (Center for Research in Economics and Statistics) within the Polytechnic Institute of Paris (IP Paris). He serves as Deputy Director of the Institut des Politiques Publiques (IPP) and Director of the “Democracy and Institutions” research program at the IPP in Paris. Additionally, he is a Research Fellow at the Centre for Economic Policy Research (CEPR) in London and CESifo in Munich, and a member of the Compulsory Levies Council (CPO) at the Court of Auditors. Professor Boyer's research focuses on public economics, political economy, European integration, and banking regulation. His work examines tax systems, political feasibility of reforms, fiscal policy, and the political economy of European integration. He has conducted significant research on tax morale in France, the political economy of reforms, and European fiscal integration. His publications appear in top economics journals including the American Economic Review, Quarterly Journal of Economics, Econometrica, and Journal of Public Economics. His recent work includes studies on public debt and political economy of reforms (2024), Pareto-improving tax reforms (2023), and European fiscal reform preferences across European parliamentarians (2022). Research Fellow, CEPR, London Research Fellow, CESifo, Munich Deputy Director, Institut des Politiques Publiques (IPP) Director, “Democracy and Institutions” program at IPP Member, Compulsory Levies Council (CPO), Court of Auditors Professor Boyer teaches Public Finance at the Master's level, Microeconomics for engineering students, and Market Design. He also co-directs the MSc&T “Data and Economics for Public Policy” program, a collaboration between École polytechnique, ENSAE Paris, and Télécom Paris. In 2024, he published the book “Peut-on être heureux de payer des impôts ?” (Can We Be Happy to Pay Taxes?) with Presses Universitaires de France.

Karyl B. LeggioView profile

Professor

• Retirement finance & decumulation strategies
• Credit-risk modelling and credit default swaps
• Sustainable finance & ESG investing
• +3 more

Karyl B. Leggio is Professor of Finance at Loyola University Maryland’s Sellinger School of Business, where she researches retirement decumulation, credit-risk analytics, and sustainable-finance applications. A Certified Risk Manager and Fulbright Specialist (2020), she has published extensively on the viability of traditional withdrawal rules, the predictive power of CDS models versus credit ratings, and the use of Monte-Carlo simulation in public-sector sustainability planning. Education: Ph.D. Finance, University of Kansas MBA, East Tennessee State University B.S. Business, Virginia Tech Research focus: Her recent work challenges the long-standing 4 % withdrawal guideline for retirees, proposes quarterly decumulation strategies to mitigate sequence-of-returns risk, and compares Bloomberg CDS-implied models to traditional credit ratings. Other streams examine herding during the 2010 Flash Crash, efficiency of bank branches via DEA, and pedagogical innovations such as flipped ethics courses and MOOC adoption. Scientific recognition: Fulbright Specialist Appointee, 2020 STAR Research Award, 2019 Sellinger Scholars Leadership Speaker, 2015 Multiple “Who’s Who” listings 2002-2010 Professional engagement: Continuous member of the Financial Management Association, American Finance Association, Midwest, Southern and Eastern Finance Associations since the mid-1990s; Certified in Risk Management since 2006. While specific doctoral advisees are not enumerated, her case supervision and teaching awards indicate active student mentorship.

Joachim BaumeisterView profile

Professor

• Semantic Information Systems
• Knowledge Graphs
• Deep Learning
• +5 more

Joachim Baumeister is a Professor at the Chair of Computer Science VI - Artificial Intelligence and Knowledge Systems within the Institute of Computer Science at the University of Würzburg's Faculty of Mathematics and Computer Science. While his primary employment since September 2010 has been at denkbares GmbH, a company specializing in knowledge-based systems, he continues to regularly give lectures at the university. His research focuses on Semantic Information Systems, Knowledge Graphs, Deep Learning applications, Natural Language Processing, and Knowledge-based Configuration for Industry 4.0. Professor Baumeister's work bridges theoretical AI research with practical industry applications, particularly in knowledge-based configuration systems and semantic technologies. His recent publications (2020-2024) reveal a strong emphasis on product configuration systems, semantic knowledge representation, regulatory document processing, and knowledge-based systems. His research has evolved from foundational work on semantic wikis and knowledge engineering to more recent applications involving deep learning and large language models, demonstrating adaptability to emerging technologies while maintaining focus on practical knowledge representation problems. Professor Baumeister's work demonstrates significant contributions to case-based reasoning, knowledge configuration, and semantic technologies, with applications spanning regulatory compliance, industrial configuration systems, and document processing. His current research areas include: Semantic Information Systems and Knowledge Graphs Deep Learning for Image Recognition and Language Understanding Knowledge-based Configuration for Industry 4.0 Natural Language Processing Intelligent Personal Assistants and Chat Bots Though specific students aren't listed in the provided information, Professor Baumeister actively invites students to contact him regarding projects, bachelor theses, and master theses in his areas of expertise. His work at denkbares GmbH focuses on the design, implementation, and evolution of knowledge-based systems and semantic information systems.

Lu TangView profile

Associate Professor

• Biostatistics
• Machine Learning
• Health Data Science
• +7 more

Lu Tang is an Associate Professor and Vice Chair for Education in the Department of Biostatistics and Health Data Science at the University of Pittsburgh School of Public Health. Her research bridges biostatistics and machine learning to advance health data science through integrative analysis of distributed and high-dimensional datasets, with significant applications in precision medicine, opioid use disorder, sepsis treatment, and public health policy. Dr. Tang's educational journey includes foundational training at Sun Yat-sen University followed by advanced degrees in quantitative fields: PhD in Biostatistics, University of Michigan (2018) MS in Statistics, University of Virginia (2013) BA in Mathematics, University of Virginia (2012) Her research program develops statistical methodologies for data integration, causal inference, and decision-making in healthcare settings. She pioneers techniques for federated learning, robust individualized treatment rules, and high-dimensional data analysis, directly addressing challenges in health disparities, electronic health records, and clinical trial heterogeneity. Her work consistently translates methodological innovations into practical tools for biomedical researchers. Analysis of Dr. Tang's publication trajectory reveals a strategic evolution toward solving real-world healthcare data challenges through distributed learning frameworks. Her recent work emphasizes robust decision rules for heterogeneous populations (2022-2025), transfer learning for federated systems (2024), and methodological innovations for longitudinal and high-dimensional data (2019-2023), demonstrating consistent contributions across biostatistics, machine learning, and public health domains. Dr. Tang has been recognized with: IMS New Researchers Travel Award (2023) She actively mentors 6 current graduate students across PhD and MS programs while supervising 8 alumni now in industry and academia. Her research program is sustained by major funding including NIH R21DA055672 (PI, 2023-2025) on federated Medicaid data analysis, NSF DMS 2310217 (PI, 2023-2026) for longitudinal missing data methods, and multiple NIH R01 grants as Co-I addressing opioid treatment equity and precision medicine in sepsis. Dr. Tang leads the development of critical open-source software including RISE (Python) for robust individualized decisions, ifedtree (R) for tree-based federated learning, and metafuse (R/CRAN) for data integration, establishing infrastructure widely adopted in health data science research communities.

Hinrich JuliusView profile

Professor

• Civil Law
• Economic Law
• Comparative Law
• +3 more

Hinrich Julius is Professor of Civil Law and Legal Dialogue with Emerging Countries at the University of Hamburg's Faculty of Law since March 2010, coordinating the EU-funded "China-EU School of Law" project. Previously, he held full professorships at Hochschule Wismar (1997-2000) and Hochschule für Angewandte Wissenschaften Hamburg (2000-2004), and served as head of GTZ's legal cooperation office in Beijing (2004-2009). His academic journey includes law studies at FU Berlin and University of Hamburg, legal clerkship at Hamburg Higher Regional Court with a London placement, and a 1994 PhD on self-employment in construction. Research Focus: Julius specializes in Transformation and Law, particularly Chinese legal development within civil, economic, and property law frameworks. His work examines legal harmonization in emerging economies, focusing on China's civil code evolution, property rights reforms, and international trade regulations. He analyzes how socialist legal systems adapt Western concepts through comparative lenses, emphasizing institutional cooperation and practical implementation challenges in transitional societies. Publication Trends: His 2003-2009 publications reveal concentrated expertise in Chinese legal modernization, with 80% addressing property law, civil code development, and foreign trade systems. Key themes include the interplay between continental European legal traditions and Chinese reform, institutional capacity building through international cooperation, and the practical realities of legal transplants. His collaborative work demonstrates consistent engagement with German-Chinese legal dialogue. Scientific Recognition: No specific awards are documented in the source material, though his EU project coordination indicates significant research leadership. Academic Service: As coordinator of the China-EU School of Law initiative, Julius manages substantial international grant funding. While specific advisees aren't listed, his professorial role entails supervising doctoral candidates in comparative law and legal transformation studies. His office (Law House Room A425) operates with secretary support for administrative functions. Research Infrastructure: Julius leads the dedicated "Legal Dialogue with Emerging Countries" professorship unit, centered on EU project coordination and German-Chinese academic exchange. The position maintains direct institutional links with Chinese legal education bodies through the China-EU School of Law framework.

Gabriele Margarete BuchholtzView profile

Assistant Professor

• Public Law
• Social Law
• Migration Law
• +4 more

Prof. Dr. Gabriele Margarete Buchholtz holds the Junior Professorship for Social Security Law with a Focus on Digitalization and Migration at the University of Hamburg Faculty of Law . She has been a faculty member since November 2020 and leads research intersecting public law, social law, and digital governance . Education: Studium der Rechtswissenschaften, Bucerius Law School (2006–2011) First State Exam, Hanseatisches Oberlandesgericht (2011) Dr. iur., summa cum laude (2014) Second State Exam (2016) Research Focus: Her work addresses migration law, data protection, AI governance, and social rights in digital contexts . She co-edited Integratives Recht (2021) and Digital Health und Recht (2024), focusing on interdisciplinary legal frameworks. Article Trends: Recent publications examine AI ethics, federated learning in healthcare, data trust models, and European social rights . Collaborative works with computational researchers highlight privacy-preserving technologies and regulatory harmonization . Scientific Awards: Hugo Sinzheimer Dissertationspreis (2015) Kliemt & Vollstädt-Dissertationspreis (2014) Claussen-Simon-Stiftung Auszeichnung (2018) Daimler und Benz Stiftung Fellowship (2019) Konrad-Adenauer-Stiftung Promotionsförderung (2012–2013) Grants & Projects: Co-leader of TreuMed , a research project on data trust models in medical AI (funded by BMAS/FIS) Contributions to EU labor standards and OECD guidelines Labs & Teams: Collaborates with Computational Systems Biology Lab (Prof. Jan Baumbach) Part of interdisciplinary workshops on data certification and privacy labels