جست‌وجوی استاد و پژوهشگر

• Medical Education
• Primary Care
• Women in Medicine
• +۷ مورد دیگر

Rebecca Berman, MD , is a Professor in the School of Medicine at the University of California, San Francisco (UCSF) , where she serves as the Internal Medicine Residency Program Director. She plays a national leadership role in medical education and residency training reform. Education: AB in African-American Studies, Harvard College, 1999 MD, Harvard Medical School, 2005 Primary Care Internal Medicine Residency, Brigham and Women's Hospital, 2008 Diversity, Equity, and Inclusion Champion Training, UCSF, 2018 Research and Professional Interests: Dr. Berman’s work focuses on medical education , primary care innovation , diversifying the physician workforce , curricular design , negotiation skills training , women in medicine , and care for the underserved . She has pioneered initiatives to improve equity and leadership opportunities for underrepresented groups in medicine. Publication Trends: Her scholarly work spans over 15 years and includes key contributions to residency education, gender equity, health disparities (particularly in prostate cancer), and innovative teaching models. Recent publications emphasize pandemic recovery in medical training, bias reduction in residency selection, and leadership challenges for women in medicine. Scientific Awards and Honors: Inducted into the Haile T. Debas Academy of Medical Educators, UCSF (2022) Kanu Chatterjee, MD Medicine Residency Endowed Chair, UCSF (2024) Leadership and Teaching: Dr. Berman is a national leader in residency education, serving as a Councilor for the Association of Program Directors in Internal Medicine (APDIM), co-founding its Primary Care Program Director Group, and editing the widely used Primary Care Toolkit. She teaches negotiation skills to promote equity in academic medicine. She led the overhaul of UCSF’s internal medicine residency curriculum to enhance individualized training and resident well-being, especially during the pandemic. Labs and Teams: She founded the Crimson Care Collaborative (CCC) during her tenure at Harvard/Mass General, a student-faculty network providing primary care to underserved populations while offering interprofessional training. At UCSF, she leads one of the nation’s premier internal medicine residency programs, shaping the next generation of physicians.

• Machine Learning
• Statistical Computing
• Cluster Analysis
• +۲ مورد دیگر

Theresa Scharl-Hirsch is a Senior Scientist and Deputy Scientific Director at the Core Facility Bioinformatics, University of Natural Resources and Life Sciences, Vienna (BOKU). She holds concurrent appointments at the Institute of Statistics, BOKU, and has extensive experience in bioprocess modeling, machine learning, and statistical computing. Her work bridges biochemical engineering with advanced data science methodologies. Her research focuses on real-time monitoring of biopharmaceutical processes, clustering of high-dimensional data (particularly RNA sequencing), and application of explainable machine learning techniques. She has developed statistical models for process optimization and quality prediction in antibody capture and protein purification, with a strong emphasis on industrial implementations using R programming. Key trends in her publications include three-way data analysis, matrix-variate Gaussian mixture models, and permutation-based variable importance methods for deep learning architectures. Her work spans bioprocess engineering, bioinformatics, and industrial data science applications.

Okeoghene Oduduمشاهده پروفایل

مدرس ارشد

• Competition Law
• European Union Law
• EU Internal Market Law
• +۷ مورد دیگر

Professor Okeoghene Odudu is the Herchel Smith University Senior Lecturer in Law at the University of Cambridge, Faculty of Law, and a Fellow of Emmanuel College. He is Co-Director of the Centre for European Legal Studies (CELS) and affiliated with the Centre for Law, Medicine and Life Sciences (LML). His academic work focuses on competition law, EU law, and the legal regulation of healthcare systems. MA (Cantab), Law, Sidney Sussex College, Cambridge MA (Keele), Criminology, funded by ESRC DPhil (Oxon), Aspects of Article 101 TFEU, supervised by Professor Paul Craig His research interests lie at the intersection of competition law and public services, particularly in the healthcare sector. He has extensively published on the application of EU competition law to NHS institutions, hub-and-spoke collusion, state aid, and the public/private distinction in EU law. His work combines doctrinal legal analysis with policy-oriented inquiry, often addressing contemporary regulatory challenges such as NHS privatization and crisis-driven competition law relaxation during the pandemic. His recent publications show a strong trend toward analyzing competition law in public service contexts, especially healthcare, and exploring doctrinal nuances in EU antitrust enforcement. He frequently contributes to high-impact legal journals and edited volumes on EU law and competition policy. Kennedy Memorial Trust Scholarship British Academy Mid-Career Fellowship (2011–2012) AHRB Doctoral Funding ESRC MA Funding Professor Odudu has served on the editorial boards of the European Competition Journal , Cambridge Yearbook of European Legal Studies , and Concurrences . He has supervised doctoral research and contributed to major research projects, including a British Academy-funded study on competition law in the NHS. His work is supported by prestigious fellowships and institutional affiliations. He is actively involved in the Centre for European Legal Studies and the Centre for Law, Medicine and Life Sciences, where he collaborates on interdisciplinary research on law, health, and regulation.

Jilles Vreekenمشاهده پروفایل

استاد

• Causal Inference
• Unsupervised Learning
• Exploratory Data Analysis
• +۷ مورد دیگر

Jilles Vreeken is a Professor of Computer Science at Saarland University and tenured faculty at the CISPA Helmholtz Center for Information Security, where he leads the Exploratory Data Analysis research group. He is also an ELLIS Fellow and Faculty of the Saarbrücken Unit on AI and ML. His work bridges theoretical foundations with practical applications in causal inference, unsupervised learning, and exploratory data analysis. Dr. Vreeken's research focuses on developing theory and algorithms for answering fundamentally exploratory questions about data: "what is going on in my data?", "what causes what and how?", and "what can we learn from this model?" without making unnecessary or unjustified assumptions. He takes a principled approach based on information theory to identify what is worth knowing, then develops efficient algorithms for extracting useful interpretable results. His work spans causal inference under realistic conditions (including hidden confounding, selection bias, and non-i.i.d. data), summarizing complex data and models in understandable terms, and combining these threads to create more robust and useful models across diverse data types. His recent publications demonstrate a strong trend toward causal discovery in increasingly realistic settings, including non-stationary time series, event sequences, and scenarios with hidden confounders. He has made significant contributions to federated learning, interpretable machine learning, and pattern mining. His work consistently applies information-theoretic principles to develop methods that are both theoretically sound and practically useful for extracting insights from complex data. Dr. Vreeken has received numerous prestigious awards including: IEEE ICDM'18 Tao Li Award for Excellence in Research IEEE ICDM'18 Best Paper Award UdS-CS'15 Busy Beaver Teaching Award ACM SIGKDD'11 Best Student Paper Award ACM SIGKDD'10 Doctoral Dissertation Runner-Up Award ECML PKDD'09 Best Student Paper Award As an advisor, Dr. Vreeken has mentored numerous doctoral researchers to completion, including Dr. Osman Ali Mian, Dr. David Kaltenpoth, Dr. Boris Wiegand, Dr. Sebastian Dalleiger, Dr. Janis Kalofolias, Dr. Jonas Fischer, Dr. Alexander Marx, Dr. Panagiotis Mandros, Dr. Kailash Budhathoki, Dr. Roel Bertens, Dr. Koen Smets, and Dr. Michael Mampaey. He has secured significant research funding as PI for multiple projects including "AI for Prediction and Therapy Guidance in Acute Stroke" (HAICU, 2025-2028), "Neuro-Explicit Models of Language, Vision and Action" (RTG, DFG, 2023-2028), and "Crushing Antimicrobial Resistance using Explainable AI" (HAICU, 2021-2024). Dr. Vreeken leads the Exploratory Data Analysis (EDA) research group at CISPA, which focuses on developing theory and algorithms for discovering novel insights from data, learning inherently interpretable models, and drawing reliable causal conclusions. The group has produced numerous influential algorithms and frameworks in causal inference, pattern mining, and exploratory data analysis, with applications spanning healthcare, materials science, and cybersecurity.

Kim Klarskov Jeppesenمشاهده پروفایل

استاد

• Auditing
• Internal Auditing
• Public Sector Auditing
• +۴ مورد دیگر

Kim Klarskov Jeppesen is a Professor of Auditing and Programme Director for the MSc in Accounting and Auditing at Copenhagen Business School (CBS), Department of Accounting. His academic role focuses on advancing auditing practices across private and public sectors. Departments: Department of Accounting, CBS Teaching: Graduate courses in Auditing, Audit Data Analytics, Fraud Investigation, and Internal Auditing Research Interests: Jeppesen's work spans external and internal auditing, public sector accountability, fraud detection, audit regulation, and data analytics. He explores auditors' strategic responses to regulatory challenges and their role in combating corruption. Publications Trends: Recent articles analyze institutional dynamics in auditing, cross-national comparisons of audit frameworks, network perspectives on auditor-board relationships, and the impact of mergers on audit transparency. Key themes include governance, regulatory compliance, and technological advancements in auditing. Supervision: Jeppesen mentors both master’s and PhD students in auditing, emphasizing practical and theoretical rigor. Professional Engagements: He collaborates with organizations like FSR – Danske Revisorer, Beierholm, Mazars, and Rigsrevisionen (2018–2019), contributing to industry-focused teaching and consultancy projects.

Christian Kochمشاهده پروفایل

استاد

• Construction Industry
• Climate Change
• Engineering
• +۷ مورد دیگر

Christian Koch is a Professor and Head of Section at the University of Southern Denmark (SDU) Civil and Architectural Engineering, Department of Technology and Innovation, where he leads research on construction industry dynamics, climate change mitigation, and digital transformation. His work bridges institutional theory with practical challenges in sustainable development and organizational innovation. SDU Climate Cluster EU SAND Project Participant Creative Construction Conference Chair Research interests include circular economy implementation, blockchain in construction logistics, lean construction methodologies, and AI applications for safety analysis. His studies focus on institutional entrepreneurship, interorganizational networks, and policy impacts on construction practices, particularly in Denmark and Sweden. Recent article trends analyze machine learning for accident report analysis, blockchain-enabled resource marketization, and climate-resilient infrastructure. Notable awards include the Taylor and Francis Best Theoretical Paper (2025), SCC Fast Track Award (2024), and CME Best Paper on Societal Challenges (2022). Scientific awards include: Taylor and Francis Best Theoretical Paper (2025) SCC Fast Track November 2024 CME Best Paper Transformative Impact (2022) Best Paper Creative Construction Conference (2025) He actively participates in public discourse through media engagements on construction safety, climate adaptation, and sustainable sand extraction for green transitions.

Adriana Iamnitchiمشاهده پروفایل

استاد

• Computational Social Science
• Social Media Analysis
• Misinformation Detection
• +۳ مورد دیگر

Adriana Iamnitchi is a Full Professor and Key Domain Chair for Computational Science at Maastricht University's Faculty of Science and Engineering, affiliated with the Department of Advanced Computing Sciences. Her research focuses on computational social science, social media dynamics, and misinformation detection. Her primary research interests include: Analysis of coordinated information campaigns across social platforms Development of LLM-based synthetic data generation for social media research Polarization quantification in multi-community networks Policy compliance frameworks for digital regulation (e.g., EU's Digital Services Act) Ethical AI applications for content moderation and transparency Her recent publications (2023-2025) demonstrate strong focus on: Cross-platform disinformation detection using multimodal embeddings Generative AI for synthetic social media datasets Quantitative analysis of toxicity monetization in creator economies Regulatory compliance automation for content transparency

Zakaria BABUTSIDZEمشاهده پروفایل

استاد

• Behavioral Economics
• Environmental Economics
• Consumer Behavior
• +۶ مورد دیگر

Zakaria BABUTSIDZE is a Professor of Economics at SKEMA Business School in France, where he has been teaching since 2011, progressing from Assistant Professor to Associate Professor and finally to full Professor in 2021. His academic affiliations also include positions at Côte d'Azur University, Sciences Po Paris (where he serves as an Economist at OFCE since 2011), and previous visiting positions at institutions including Griffith University, North Carolina State University, and Maastricht University. His research interests span behavioral and environmental economics, with a particular focus on consumer decision-making in digital contexts, green consumer behavior, social networks, and agent-based modeling of economic phenomena. BABUTSIDZE has made significant contributions to understanding how digital environments shape consumer interactions, environmental attitudes, and trust formation. His recent publications demonstrate a strong trend toward interdisciplinary research combining economics with psychology, computer science, and environmental studies. His work frequently employs experimental methods, both laboratory and field-based, to examine consumer behavior in digital environments, the impact of social networks on market dynamics, and the relationship between media consumption and environmental attitudes. SMBG special prize for innovation 2015 (awarded to MSc Digital Business in capacity of Academic Director) The Best Young Scholar Paper Award 2011 (DIME final conference / DIME network of Excellence) The Outstanding PhD Paper Award 2009 (European Meeting on Applied Evolutionary Economics) As an academic advisor, BABUTSIDZE has supervised multiple doctoral students at SKEMA Business School and Université Côte d'Azur. His research has been supported by numerous grants from Université Côte d'Azur, the Sloan Foundation, and other institutions. He is also actively involved in conference organization and serves as a reviewer for numerous prestigious economics and interdisciplinary journals.

• Security Engineering
• Privacy Enhancing Technologies
• Cryptography
• +۳ مورد دیگر

Professor Steven J. Murdoch is a faculty member at the University College London (UCL) in the Department of Computer Science . He holds a Royal Society University Research Fellow position and leads the Information Security Research Group . He is affiliated with Christ’s College as a bye-fellow, and is a Fellow of the Institution of Engineering and Technology (IET) and the BCS . His work bridges security engineering , privacy-enhancing technologies , and legal-technical intersections . Academic Leadership : Program chair and general chair for major conferences like Privacy Enhancing Technologies Symposium and Financial Cryptography . Research Contributions : Notable for exposing vulnerabilities in EMV protocols , designing blockchain-based fair exchange protocols , and analyzing malware delivery ecosystems . Scientific Awards : Received the IRTF Applied Networking Research Prize 2020 for internet-wide scanning methodologies. Professional Impact : Active in Tor Project and critical infrastructure analysis, including the Post Office Horizon scandal . Email: s.murdoch@ucl.ac.uk .

Jonathan L. Auerbachمشاهده پروفایل

استادیار

• Data Science
• Causal Inference
• Survey Methods
• +۶ مورد دیگر

Jonathan L. Auerbach is an Assistant Professor in the Department of Statistics at George Mason University . His work bridges statistics and public policy , focusing on causal inference , longitudinal data analysis , and official statistics . He has contributed to understanding urban myths (e.g., New York City rat populations, building height trends), election fraud , and policy evaluation for initiatives like Vision Zero. Education : PhD in Statistics (Columbia University, 2020), BA in Economics (Cornell University, 2010) Research Interests include data science , causal inference , survey methodology , and urban analytics . His recent work addresses climate change impacts on cherry blossom seasons, federal data security , and street vendor demographics in New York City. Scientific Awards include the 2024-2025 President of Washington Statistical Society , 2020-2021 American Statistical Association Science Policy Fellow , and 2019 Howard Levene Outstanding Teaching Award . He has served as an instructor for courses like Capstone in Statistics and Causal Inference , emphasizing technical communication and data ethics .

Sophia Hoffmannمشاهده پروفایل

استادیار

• Intelligence Research
• International Refugee Policy
• Humanitarian Aid
• +۵ مورد دیگر

Prof. Dr. Sophia Hoffmann is an Assistant Professor at the Faculty of Political Science , University of Erfurt, specializing in International Politics and Conflict Research . As academic advisor for BA-International Relations and spokesperson for the doctoral program "De-Globalization and Global Decoupling (DeGlobE)", she combines teaching with cutting-edge research. PhD from School of Oriental and African Studies (SOAS), University College London Previous positions: Leibniz Center for Modern Oriental Studies, University of Bremen, Geneva Graduate Institute Extensive field research in Syria, Jordan, and Lebanon Her research focuses on intelligence research , international refugee policy , and humanitarian aid in conflict contexts. She examines how intelligence agencies function transnationally and how humanitarian policies intersect with state security apparatuses, particularly in West Asia. Recent publications analyze intelligence-security gaps in national strategies, raw material dependencies, and historical intelligence practices. Her work reveals a trajectory from migration studies to critical intelligence analysis, emphasizing state-society relations and knowledge production in security contexts. Research funding includes: EU COFUND program Volkswagen Foundation German Federal Ministry of Education and Research (BMBF) Prof. Hoffmann engages in knowledge transfer activities and media outreach, bridging academic research with public discourse on intelligence and humanitarian policies.

Robert B. Ahdiehمشاهده پروفایل

استاد

• Administrative Law
• Financial Regulation
• Comparative Law
• +۵ مورد دیگر

Robert B. Ahdieh is the Chief Operating Officer at Texas A&M Fort Worth, Vice President for Professional Schools & Programs at Texas A&M University, and Dean of the School of Law, holding the Anthony G. Buzbee Endowed Dean's Chair . His expertise spans Administrative Law, Financial Regulation, Comparative Law, and International Trade Law. His research focuses on regulatory networks, central bank communications, and legal frameworks across financial and administrative law. He has contributed to interdisciplinary legal analysis, emphasizing coordination and conflict in transnational governance. Key publications include analyses of cost-benefit regulation under the Dodd-Frank Act and free expression jurisprudence in Russia. His awards include fellowships from the American Bar Foundation, Institute for Advanced Study, and recognition for public service. Scientific Awards: Sixth Annual International Research Conference, Symbiosis International University (2017) American Bar Foundation Fellow (since 2016) Douglas McK. Brown Visiting Chair in Law, University of British Columbia (2014) Academic Leadership Program, Emory University (2012) Institute for Advanced Study, School of Social Science (2008-2009) Microsoft/LAPA Fellow, Princeton University (2007-2008) American Law Institute — Elected to membership (2007)

• Information Security
• Privacy
• Pervasive Computing
• +۵ مورد دیگر

Tuomas Aura is a Professor at the Department of Computer Science , Aalto University , and a member of the Helsinki Institute for Information Technology (HIIT) and the Helsinki-Aalto Institute for Cybersecurity (HAIC) . His expertise spans information security , privacy , pervasive computing , and communications . Research Trends: His recent work focuses on securing Kubernetes clusters , TLS identity binding , SIM provisioning protocols , and IoT authentication , with a strong emphasis on network security and cryptographic protocols . Key sub-fields include microservice connectivity , threat modeling , and EAP-based authentication . Publications: His 2025 work on Kubernetes misconfigurations and TLS identity binding addresses critical cloud and protocol vulnerabilities. Earlier studies (2024-2020) explore SIM transparency, HTTP/2 security, and formal verification of device-pairing flaws, reflecting a consistent focus on IoT security and network protocols .

Charith Mendisمشاهده پروفایل

استادیار

• Compilers
• Programming Languages
• Machine Learning for Systems
• +۳ مورد دیگر

Charith Mendis is an Assistant Professor in the Siebel School of Computing and Data Science at the University of Illinois at Urbana-Champaign, with joint appointments in the Department of Computer Science, Electrical and Computer Engineering, and the Coordinated Science Lab. His research focuses on the intersection of compilers, program optimization, and machine learning systems. Dr. Mendis received his educational background from prestigious institutions: Ph.D. in Computer Science from Massachusetts Institute of Technology (2020) S.M. in Computer Science from Massachusetts Institute of Technology (2015) B.Sc. in Electronics and Telecommunication Engineering from University of Moratuwa (2013) His primary research interests center around compiler technology and machine learning systems. Mendis leads the ADAPT lab at UIUC, where his team works on creating high-performance ML optimization techniques and automated compiler construction using machine learning and formal methods. His work bridges the gap between traditional compiler design and modern machine learning approaches, with applications in tensor compilers, graph neural networks, and sparse computation. He has developed novel frameworks for optimizing deep learning workloads, verification of compiler transformations, and performance modeling for emerging hardware architectures. Mendis has established himself as a leading researcher in compiler optimization for machine learning systems, with a particular focus on tensor compilers, graph neural networks, and performance modeling. His recent publications demonstrate increasing sophistication in combining formal methods with machine learning techniques to solve challenging problems in compiler optimization and verification, with multiple papers accepted at top-tier conferences including OOPSLA, PLDI, POPL, and SIGMOD. His notable scientific achievements include: Google ML and Systems Junior Faculty Award (2025) DARPA Young Faculty Award (2024) NSF CAREER Award (2024) Distinguished Paper Award at POPL (2025) William A. Martin Thesis Award for Outstanding SM thesis, MIT (2015) Multiple teaching excellence awards at UIUC (2021-2023) Dr. Mendis actively mentors students through the ADAPT lab, offering research opportunities for undergraduates, master's students, and PhD candidates interested in compiler technology and machine learning systems. His research is supported by significant funding from the ACE center (part of JUMP 2.0), National Science Foundation (NSF), DARPA, IIDAI, and industry partners including Google, Intel, Amazon, and Qualcomm. He teaches advanced courses in compiler construction and machine learning for compilers. He leads the ADAPT lab at UIUC, which focuses on developing advanced compiler technologies for modern machine learning workloads. The lab maintains active collaborations with industry partners and has established itself as a leading research group in compiler optimization for AI systems. Current projects include tensor compilers, graph neural network optimization, and automated verification of deep learning systems.

• Sustainable Supply Chains
• Modern Slavery in Procurement
• Corporate Power Dynamics
• +۵ مورد دیگر

Professor Joanne Meehan is a faculty member at the University of Liverpool Management School, specializing in modern slavery, sustainable supply chains, corporate power, and social value. She serves as Director of the Centre for Sustainable Business and Associate Editor for the Journal of Purchasing and Supply Management . Her research focuses on: Strategic impacts of sustainable procurement on stakeholders Supply chain conflicts between equity and economic benefit Critical Action Research methodology Key article trends include modern slavery frameworks (2023) and institutional logic of sustainable organizations (2021). She has received multiple awards including UoL Staff Awards (2023) and best paper recognitions (2016-2023). Teaching areas: Strategic Procurement Management Collaborative Procurement Public Sector Procurement Professional roles: Director of Liverpool MBA program (2016-2018) PhD examiner at 10+ universities Editorial roles with JPSM , IJPSM , and IMM