جستجوی استاد راهنمای دانشگاهی

Johannes Mäkelburgمشاهده پروفایل

پژوهشگر

• Cyber-Physical Systems
• Uncertainty Representation
• Knowledge Graphs
• +۳ مورد دیگر

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
• +۳ مورد دیگر

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
• +۳ مورد دیگر

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. Leggioمشاهده پروفایل

استاد

• Retirement finance & decumulation strategies
• Credit-risk modelling and credit default swaps
• Sustainable finance & ESG investing
• +۳ مورد دیگر

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 Baumeisterمشاهده پروفایل

استاد

• Semantic Information Systems
• Knowledge Graphs
• Deep Learning
• +۵ مورد دیگر

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 Tangمشاهده پروفایل

دانشیار

• Biostatistics
• Machine Learning
• Health Data Science
• +۷ مورد دیگر

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 Juliusمشاهده پروفایل

استاد

• Civil Law
• Economic Law
• Comparative Law
• +۳ مورد دیگر

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 Buchholtzمشاهده پروفایل

استادیار

• Public Law
• Social Law
• Migration Law
• +۴ مورد دیگر

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

• Optimization
• Operational Research
• Heuristics
• +۳ مورد دیگر

Andrew J. Parkes is an Assistant Professor (Lecturer) in Operational Research and Computer Science at the University of Nottingham , affiliated with the School of Computer Science and the COL research group (formerly ASAP). He has been a member of the LANCS Initiative's executive committee and co-organized multiple streams at international conferences like OR61, EURO 2019, and OR60. His research spans optimization techniques, heuristic methods, and applications in timetabling and financial modeling.

Elinor Ochsمشاهده پروفایل

استاد پژوهش

• Linguistic Anthropology
• Language Socialization
• Discourse Analysis
• +۶ مورد دیگر

Elinor Ochs is a Research Professor at the University of California, Los Angeles (UCLA) , affiliated with the Department of Anthropology in the College of Letters and Science . She serves as Director of the UCLA Center on Everyday Lives of Families , a Sloan Foundation-funded initiative examining middle-class working families' home organization through social interactions. Her educational background includes a Ph.D. in Linguistics from University of Pennsylvania (1974) Elinor Ochs' research interests span language socialization , discourse analysis , and cross-cultural communication . Her work integrates narrative theory , autism studies , and domestic ethnography , focusing on how language shapes cognitive and cultural development across Madagascar, Samoa, Italy, and the U.S. Current research projects include UCLA Center on Everyday Lives of Families : Examines home life organization in middle-class families through digital video archiving and interactional analysis Ethnography of Autism : Studies socialization of children with autism spectrum disorders, focusing on narrative interactions and social rule violations Professor Ochs has received research support from the Spencer Foundation for her autism studies. Her methodological innovations include video ethnography and ethnoarchaeological tracking, contributing to family mealtime analysis and digital archiving. She has collaborated with scholars in applied linguistics , education , and psychology , mentoring postgraduate researchers in interactional documentation techniques. Her work establishes linguistic anthropology frameworks for understanding social identity , gender indexing , and developmental pragmatics across diverse contexts.

Rachel Rimmer-Piekarczykمشاهده پروفایل

مدرس ارشد

• Critical Reflection in Dance Education
• Agency in Performance
• Embodiment Studies
• +۵ مورد دیگر

Dr Rachel Rimmer-Piekarczyk is a Senior Lecturer in Drama and Contemporary Performance at the Manchester School of Theatre, Manchester Metropolitan University. An artist-scholar and core member of the internationally recognized performance group Reckless Sleepers since 2012, she bridges critical theory and artistic practice. Her research centers on agency cultivation through critical reflection in dance training, drawing on Bourdieu and Freire to interrogate embodiment and pedagogical power structures within westernized technique frameworks. Her academic qualifications include: PhD in Dance Studies from Manchester Metropolitan University (2014-2021) MA in Contemporary Arts from Manchester Metropolitan University (2009-2011) BA in Community Arts from Manchester Metropolitan University (2004-2007) Postgraduate Certificate in Academic Practice from Manchester Metropolitan University (2011-2013), earning Advance HE Fellowship Rimmer-Piekarczyk's research investigates how dialogical reflection subverts dominant discourses in dance education to foster performer agency. Her ethnographic-action research examines social conditions within training environments, exploring how critical consciousness develops through praxical pedagogy. She extends this inquiry into contemporary scored performance, analyzing how choreographic scores like Reckless Sleepers' A String Section create structures for emergent agency while destabilizing habitual power dynamics. Her 2023-2024 publications reveal a concentrated focus on doxic agreements and ethical agility in British dance training, demonstrating how reflexive-dialogical approaches disrupt entrenched pedagogical norms. This work increasingly integrates theoretical frameworks with artistic practice, particularly through performance-presentations that materialize embodied knowledge. Her scholarship consistently emphasizes the transformative potential of critical reflection to cultivate 'somatic authority' and ethical responsiveness in dancers. She currently supervises PhD research in contemporary theatre practice, pedagogy, and musical composition while serving as External Examiner for the University of Wolverhampton's Dance and Creative Performance programme. Her academic leadership extends through postgraduate research supervision and curriculum development informed by her dual expertise as practitioner-scholar. As a core Reckless Sleepers member, she contributes to international touring projects as performer, deviser, and facilitator. The company's collaborative process—especially the long-term development of A String Section —functions as a living laboratory for her research, where theoretical concepts about agency and structure are tested and refined through embodied practice.

• Interactive AI
• Human-Centered AI
• Fairness in AI
• +۳ مورد دیگر

Elizabeth M. Daly is a Research Scientist at IBM Research Laboratory, Dublin, and an Adjunct Assistant Professor at Trinity College Dublin's School of Computer Science and Statistics. Her work focuses on interactive AI , human-centered design , and fairness in algorithmic systems . She contributes to AI governance and LLM safeguarding through projects like AutoFair and Granite Guardian. Ph.D. in Computer Science (2007), Trinity College Dublin Thesis: Social Network Analysis for Routing in Disconnected Delay-Tolerant MANETs Her research interests span: Interactive AI : Facilitating AI-human negotiation for common objectives Trustworthy AI : Addressing fairness, accountability, and transparency in industrial applications Explainable AI : Developing tools like AIMEE for model exploration and editing She serves on the program committees of top conferences (RecSys, IUI, WWW, UMAP, ICWSM) and the Royal Irish Academy’s committee on Engineering and Computer Science. Notable scientific award: ACM Distinguished Member . Projects: AutoFair : Human-compatible automation of fairness in AI AIMEE : AI model explorer and editor tool Usage Governance Advisor : Translating AI intent into governance frameworks She leads the Interactive AI Group at IBM Research Europe - Ireland.

• Quality Improvement
• Infection Prevention
• Patient Safety
• +۷ مورد دیگر

Allison Bartlett is a Professor at the University of Chicago in the Pediatrics-Infectious Diseases department. She serves as the inaugural Chief Quality Officer for Comer Children’s Hospital since 2023 and has held multiple leadership roles including Associate Medical Director of Infection Prevention and Control since 2011. Education: Princeton University (AB Molecular Biology), Washington University School of Medicine (MD), Baylor College of Medicine (MS in Clinical Investigation) Training: Pediatrics and Pediatric Infectious Diseases at Texas Children’s Hospital/Baylor College of Medicine Her research focuses on infection prevention , patient safety , and quality improvement in pediatric care. Recent work explores machine learning applications in pediatric early warning systems and health disparities in infection control. Publications span pediatric infectious diseases , Clostridioides difficile prevention, and febrile neutropenia management. Notable scientific awards include the 2019 University of Chicago Medicine Award for Excellence in Interdisciplinary Collaboration . She actively participates in the Society for Healthcare Epidemiology in America (SHEA) and Pediatric Infectious Diseases Society .

• Virtual Reality
• Augmented Reality
• 3D Web Technology
• +۵ مورد دیگر

Krzysztof Walczak is a Professor at the Department of Information Technology, University of Economics in Poznan. His work bridges Information and Communication Technology (75%) with Management and Quality Studies (25%). 2020–Present: Professor 2010–2020: Assistant Professor 2001: Doctorate Research focuses on Virtual & Augmented Reality applications in education, industry, and cultural heritage. Key themes include semantic modeling for adaptive XR interfaces, 3D content creation for marketing, and AI integration in immersive environments. Recent work explores: Generative AI ethics in education Industry 4.0 VR training systems Financial data visualization in AR Green digital transition policies As a scientific leader, he has published 70+ works and supervised 110+ research activities. His Hirsch index (approx. 25) reflects significant impact in semantic XR systems and 3D web technologies.

• AI for Healthcare
• Large Vision-Language Models
• 3D Computer Vision
• +۳ مورد دیگر

Zhenyue Qin is a Postdoctoral Associate at the Yale School of Medicine , affiliated with the Biomedical Informatics & Data Science department. His research focuses on AI for healthcare , large vision-language models , and 3D computer vision . Prior to Yale, he worked as a Senior Researcher at Tencent XR Vision Labs , following his PhD and undergraduate studies at the Australian National University . Education: PhD in Computer Vision (2022) BS (Hon) in Computer Science (2017) His research interests span AI applications in healthcare , with specific emphasis on medical imaging , emotion recognition , and skeleton-based action analysis . He also explores graph neural networks , vision-language models , and modularity-inducing systems in evolutionary computation. Zhenyue has published in top-tier conferences and journals including CVPR , AAAI , EMNLP , and TNNLS . His recent work addresses challenges in medical dataset benchmarking , diffusion model applications , and privacy-preserving action recognition . Scientific Honors Awarded 1st Honors in Computer Science at Australian National University