جستجوی استاد راهنمای دانشگاهی

• Obstetrics
• Maternal-Fetal Medicine
• Reproductive Medicine
• +۳ مورد دیگر

Heather A Anaya, DO , is a Clinical Assistant Professor at the Feinberg School of Medicine, Northwestern University , specializing in Obstetrics and Gynecology with a focus on Maternal-Fetal Medicine . She practices at Northwestern Medicine Central DuPage Hospital and Northwestern Medicine Delnor Hospital , and her clinical work centers on high-risk pregnancies. Education : Doctor of Osteopathic Medicine (DO) from Kirksville College Of Osteopathic Medicine (2004) Training : Residency in Obstetrics and Gynecology at Rush University Medical Center (2008); Fellowship in Maternal-Fetal Medicine at University of Wisconsin Medical School (2011) Her research explores maternal-fetal physiology , particularly disruptions in calcium signaling and nitric oxide production in conditions like preeclampsia and gestational diabetes . She has published on ultrasound techniques for prenatal care and vascular dysfunction in pregnancy complications. Her publications highlight trends in diagnostic imaging for fetal anatomy assessment and molecular mechanisms in placental endothelial function. Key areas include ultrasound methodology , metabolic disorders during pregnancy , and vascular biology . She is board-certified in Obstetrics and Gynecology and Maternal-Fetal Medicine by the American Board of Obstetrics and Gynecology. Her clinical affiliations include Northwestern Medicine hospitals, and she adheres to strict professional integrity policies regarding industry disclosures.

Sandra Wachterمشاهده پروفایل

استاد

• Data Ethics
• Artificial Intelligence
• Big Data
• +۹ مورد دیگر

Professor Sandra Wachter is a leading academic in legal and ethical implications of AI, Big Data, and robotics at the Oxford Internet Institute (OII) , University of Oxford, and as Humboldt Professor at the Hasso Plattner Institute. She leads the OII's governance of emerging technologies (GET) research programme , focusing on AI regulation, algorithmic bias, and human rights. Affiliations : Berkman Klein Center (Harvard University), World Economic Forum, UNESCO, IEEE, World Bank, Bonavero Institute of Human Rights, Oxford Martin School, and more. Research : Legal and ethical frameworks for AI, explainability (notably Counterfactual Explanations ), fairness metrics, and combating algorithmic discrimination through her Conditional Demographic Disparity (CDD) tool. Awards : Alexander von Humboldt Foundation Research Award (2025), O2RB Excellence in Impact Award (2021, 2018), Computer Weekly Women in UK Tech (2021), Privacy Law Scholar (2019), CognitionX Outstanding Achievements (2023, 2017). Impact : Her work is implemented by Google, IBM, Amazon, and Microsoft; influences NHS and MHRA policies; and has been cited in major media outlets including The New York Times, BBC, and Nature.

• Corporate Governance
• Healthcare Management
• Information Technology Systems
• +۴ مورد دیگر

John (Xuefeng) Jiang is an Eli Broad Endowed Professor in Accounting at Michigan State University's Broad College of Business, holding appointments in the Department of Accounting and Information Systems, with courtesy positions as Professor of Finance and Faculty Affiliate of the law school. He serves as President-Elect of the Financial Accounting and Reporting Section (FARS) of the American Accounting Association and is an associate editor at Management Science. Dr. Jiang received his education from Renmin University of China and the University of Georgia, and has passed the Uniform CPA exams in both China and the United States. His research spans interdisciplinary areas at the interface of accounting and finance, with particular focus on corporate governance, healthcare management, information technology systems, regulation & public policy, and corporate finance. His methodological approach employs natural experiments and novel data sources to address fundamental questions in financial reporting and disclosure. Dr. Jiang's scholarly work has evolved from traditional accounting topics like earnings management and credit ratings to contemporary issues in healthcare management and cybersecurity. His recent publications examine hospital pricing transparency, data breaches in healthcare systems, and the impact of media oversight on hospital behavior, demonstrating his ability to apply accounting principles to emerging real-world challenges. His research has been widely covered by major media outlets including the Wall Street Journal, New York Times, NPR, Forbes, and CBS News. American Accounting Association Distinguished Contribution to Accounting Literature Award (2017) Multiple Outstanding Teacher of the Year awards from graduating students Dr. Jiang has successfully mentored doctoral students who have secured tenure-track positions at the University of Florida, the National University of Singapore, and Miami University. He has served on the FARS steering board from 2018 to 2022 and is actively involved in the academic community as a past President of MSU's Chinese Faculty Club and faculty advisor for the Broad China Business Society.

Joseph Tao-yi Wangمشاهده پروفایل

استاد

• Experimental Economics
• Neuroeconomics
• Game Theory
• +۳ مورد دیگر

Joseph Tao-yi Wang is a Distinguished Professor in the Department of Economics at National Taiwan University (NTU). He holds a PhD from UCLA and previously served as a Postdoctoral Scholar and Visiting Associate at Caltech. His research spans experimental economics, neuroeconomics, game theory, and behavioral economics, with a focus on strategic decision-making, market design, and learning in games. Wang directs the Taiwan Social Sciences Experimental Laboratory (TASSEL), which hosts large-scale experimental research and conferences like the 2017 APESA. His work integrates eye-tracking, pupillometry, and machine learning to study cognitive processes in economic decisions. Wang is also active in educational innovation, developing flipped classroom models with experiments for economics courses. His publications consistently explore behavioral deviations from game-theoretic predictions, such as overcommunication in sender-receiver games and learning patterns in auctions. Recent work emphasizes reproducibility in management science and AI applications in education. Wang’s research uses diverse methodologies—from neuroimaging to field experiments—to test economic theories in real-world contexts. Wang mentors through NTU’s Berkeley Economics Student Assistant Program (BESAP) and organizes mini-courses for high school students. He has not received scientific awards per the available data.

Arthur Schaferمشاهده پروفایل

استاد

• Professional Ethics
• Bioethics
• Applied Ethics
• +۸ مورد دیگر

Arthur Schafer is a Full Professor in the Department of Philosophy at the University of Manitoba's Faculty of Arts and Founding Director of the Centre for Professional and Applied Ethics. He serves as a National Research Associate of the Canadian Centre for Policy Alternatives and previously held roles as ethics consultant for the Winnipeg Regional Health Authority and Head of the Section of Bio-Medical Ethics in the Faculty of Medicine. His academic credentials include a BLitt in Philosophy from the University of Oxford (1967) and a BA Honours from the University of Manitoba. His distinguished career spans over five decades of ethical scholarship and public engagement. Professor Schafer specializes in professional and applied ethics with intensive focus on bioethics , research ethics , and biomedical conflicts of interest . His work critically examines medical assistance in dying , informed consent , clinical trial ethics , and human rights frameworks , establishing him as a leading voice in Canadian ethical discourse. His philosophical approach bridges theoretical rigor with practical policy applications across multiple professional domains. Analysis of his 13 most recent publications reveals enduring engagement with evolving ethical challenges, particularly the tension between institutional interests and professional integrity. His scholarship demonstrates consistent progression from foundational ethical theory toward contemporary policy applications, with recent work heavily concentrated on medical assistance in dying and pharmaceutical industry influence in healthcare systems. His scientific recognition includes: D. R. Campbell Outreach Award (1984) Olive Beatrice Stanton Award for Excellence in Teaching (1976) Canadian Commonwealth Scholarship (1964) Woodrow Wilson Fellowship (1964) Canada Council Fellow As an active supervisor for Master's and PhD students, Schafer extends his mentorship through ethics consulting for professional associations in Medicine, Engineering, Architecture, Nursing, and Pharmacy. His policy impact is evidenced by service on the Provincial-Territorial Expert Panel on Medical Assistance in Dying and two published reports for the Canadian Centre for Policy Alternatives. His extensive media contributions—including hundreds of CBC appearances and newspaper columns—demonstrate exceptional public scholarship. The Centre for Professional and Applied Ethics, which he founded, functions as a vital interdisciplinary hub connecting academic philosophy with real-world ethical challenges across healthcare, law, and public policy sectors, facilitating ongoing dialogue between scholars, practitioners, and community stakeholders.

• Accounting
• Finance
• Corporate Finance
• +۷ مورد دیگر

Dr. Sarah Smith is a Lecturer (Teaching & Scholarship) in the Business School at the University of Aberdeen, appointed in June 2020. She previously served as Reader at the University of Stirling from 2015 and as Senior Lecturer in Accounting, following a lectureship at Heriot-Watt University from 2001 to 2008. Education: BAcc in Accountancy, University of Stirling (1996, First Class Honours) MSc by Research, University of Stirling (1998) PhD, University of Stirling (2003) Her research centers on accounting and finance, with a strong focus on intellectual capital disclosure, corporate financing decisions, leasing, and academic labor in UK higher education. She employs empirical and methodological approaches, including content analysis and survey research, to explore disclosure practices and financial decision-making. Her work addresses both corporate reporting behavior and the sociology of accounting academia. Her recent publications (2018) analyze academic labor shortages in UK accounting departments and the role of social capital in PhD assessment, reflecting her dual interest in financial reporting and academic practice. Earlier works from the 2000s examine leasing, lease-debt substitutability, and the impact of disclosure on equity risk, establishing a long-standing contribution to financial accounting research. Scientific Awards: Best thesis on leasing across Europe (2003, Leaseurope) Carnegie Trust PhD Scholarship Dr. Smith has advised on research and contributed to academic discourse through extensive publishing, though no formal PhD or Master’s students are listed. She has not been associated with specific grants in the text, but her PhD was externally funded. Her teaching qualification (PGCAP) underscores her commitment to scholarship in education. She has not been affiliated with any named research labs or collaborative teams in the provided text, but her frequent co-authorship with Valerie Urquhart and Vic Beattie indicates strong research collaborations.

Godfred Afrifaمشاهده پروفایل

مدرس ارشد

• SMEs Financing
• Corporate Governance
• Working Capital Management
• +۵ مورد دیگر

Dr. Godfred Afrifa is a Senior Lecturer in Accounting and Senior Tutor (Canterbury) at Kent Business School , University of Kent. He is also a Visiting Lecturer at IESEG School of Management (France) since 2014 and at ISCID-CO International Business School (France) since 2016. PhD in Finance and Risk (Bournemouth University, 2013) MSc in Finance (University of Leicester, 2008) BSc in Applied Accounting (Oxford Brookes University) HND in Accounting (Kumasi Polytechnic) Chartered Accountant and Certificate in Insurance (Chartered Insurance Institute) His research explores the intersection of corporate governance , working capital management , and microfinance institutions . He investigates how CSR governance affects business practices, the dynamics of trade credit in SMEs, and the role of regional development in service-sector performance. His recent work also covers linguistic influences on financial reporting and pedagogical innovations in accounting education. Dr. Afrifa's 15 most recent publications (2020–2025) span topics like CSR decoupling , firm identity changes , credit policies , and microfinance integrity , with methodologies including stochastic frontier analysis and cross-country comparisons . His work frequently addresses financial strategies in SMEs and sustainability in supply chains and development. Scientific Awards : Fellow of The Higher Education Academy (2015), Affiliate Member of ACCA (2004). Dr. Afrifa supervises Mohammad Abwen (PhD thesis: Credibility of CSR Disclosure ) and welcomes PhD candidates in SME management , working capital , and microfinance . His Visiting Lecturer roles at French institutions highlight international collaboration. The 2023 Evaluation Report on Re:Generation 2031 underscores his work in sustainable development beyond traditional finance.

• Criminal Law
• Criminology
• Cybercrime
• +۷ مورد دیگر

Dr. Steven Kemp is a Senior Lecturer in the Department of Public Law at the University of Girona, Spain. His research focuses on the intersection of criminal law, cybercrime, and criminological analysis, with affiliations to institutions like UNICRI, Open University of Catalonia, and the Institute of Public Security of Catalonia. His work spans digital security, fraud victimization, and sentencing disparities. Current roles: Serra Hunter Fellow, University of Girona (2023–present); Collaborating Teacher, UNICRI (2024–present) Previous roles: Associate Professor, University of Girona (2015–2021); Postdoctoral Researcher, Pompeu Fabra University (2021–2023) and University of Manchester (2021) His research interests include: Cybercrime dynamics during global crises (e.g., pandemic-related fraud trends) Victimization patterns in digital societies, particularly among older adults Legal implications of smart technologies and cybersecurity frameworks Comparative criminal justice systems, especially plea bargaining and sentencing disparities Key trends in his recent publications (2025–2019) highlight: Rising cyberfraud incidents and their societal impacts Interdisciplinary approaches to digital security and legal systems Statistical modeling of crime trends post-COVID-19 Behavioral responses to cybercrime risks Scientific recognition includes: Serra Hunter Fellow He actively collaborates with research groups like the Research Group in the Seminar of Criminal and Criminological Sciences and contributes to public policy initiatives in cybersecurity and fraud prevention.

Shaomin Wuمشاهده پروفایل

استاد

• Machine Learning
• Business Analytics
• Risk Management
• +۵ مورد دیگر

Professor Shaomin Wu is a faculty member at the University of Kent's Kent Business School, where he holds the academic rank of Professor of Business/Applied Statistics. He earned an MSc and PhD in applied statistics and has extensive industry experience, including a five-and-a-half-year stint at a global manufacturer in Shanghai before moving to the UK in 2001. He has held roles as a postdoctoral researcher and lecturer before joining Cranfield University and later the University of Kent. His research focuses on recurrent event data analysis, machine learning, and reliability mathematics, with funding from the EPSRC and ESRC. His research projects include managing risk in warranty servicing policies, smart data analytics for local government, and sustainable supply chain demand forecasting. He teaches modules such as risk analysis, reliability engineering, and machine learning. Currently supervising PhD students in time series forecasting, explainable AI, and recurrent event data analysis, he also serves as a co-chair of international conferences, editorial board member, and external examiner for doctoral degrees. Notably, he ranks among the top 2% of global scientists by Stanford University. His work integrates machine learning with business analytics, resilience engineering, and environmental sustainability. Key contributions include IoT-driven resilience methodologies for smart grids and unmanned systems, as well as frameworks for corporate carbon disclosure and maintenance optimization under uncertainty.

Stefan Bernritterمشاهده پروفایل

دانشیار

• Digital Marketing
• Social Media Marketing
• Mobile Marketing
• +۴ مورد دیگر

Dr. Stefan Bernritter is an Associate Professor of Marketing at King’s Business School, University of London, and Director of the MSc in Digital Marketing. He holds a PhD in Marketing Communication from the University of Amsterdam. His research focuses on digital technologies, consumer-brand interactions, and advertising in evolving media landscapes. Key areas include mobile marketing, social media, gaming, and AI-driven advertising strategies. Previously, he served as Senior Lecturer at Goldsmiths, University of London, and Assistant Professor at the Amsterdam School of Communication Research. His work has been published in top journals like Journal of the Academy of Marketing Science and Journal of Interactive Marketing . He is an Associate Editor at the Journal of Interactive Marketing and holds editorial roles at leading advertising journals. Research interests emphasize consumer behavior in digital environments, including brand safety in multiplayer games, machine learning applications in marketing, and the impact of social media endorsements on self-evaluation. Awards include recognition from the European Advertising Academy and the International Communication Association. Bernritter actively contributes to academic discourse through editorial roles and guest editing. He currently supervises PhD students and teaches strategic marketing courses. His work aligns with UN Sustainable Development Goals related to responsible consumption and economic growth.

Shanna Williamsمشاهده پروفایل

استادیار

• Lie-Telling
• Commercial Sexual Exploitation of Children
• Moral Development
• +۴ مورد دیگر

Dr. Shanna Williams is an Assistant Professor in the Department of Educational and Counselling Psychology at McGill University's Faculty of Education. She holds clinical licensure in Quebec and Ontario, with expertise in forensic child psychology and maltreatment-related research. Her work focuses on child lie-telling, commercial sexual exploitation, moral development, and eyewitness testimony. Prior roles include a postdoctoral fellowship at the University of Southern California’s Gould School of Law and forensic law enforcement collaboration in Los Angeles. Education: Ph.D., McGill University: School/Applied Child Psychology M.A., McGill University: Educational Psychology B.A., McGill University: Psychology Postdoctoral Visiting Fellow, University of Southern California Research Interests: Lie-Telling Dynamics: Investigating how cognitive and social factors influence children's deception across contexts. Child Maltreatment: Developing trauma-informed forensic interview protocols and assessing maltreatment impacts on memory and disclosure. Legal Systems: Enhancing child-witness support through improved questioning techniques and cross-cultural legal practices. Publications Trends: Her recent work emphasizes pandemic-era challenges in child protection, digital exploitation, and legal system adaptations. Over 20 peer-reviewed articles address topics like forensic interviewing methods, maltreatment detection, and interdisciplinary collaboration. Awards: SSHRC Postdoctoral Fellowship (2016-2017) SSHRC Joseph-Armand Bombardier CGS Doctoral Fellowship (2010-2013) Advising & Grants: Supervises graduate students in child psychology and maltreatment studies. Research funded by SSHRC, NSF, and NIH grants focusing on forensic child development. Labs/Teams: Child Interviewing & Witness Lab Canadian Child Interviewing Research Team

• Corporate Finance
• Initial Public Offerings (IPOs)
• Corporate Governance
• +۷ مورد دیگر

Abhinav Goyal is a Professor of Finance and Director of Global Engagement at Birmingham Business School, University of Birmingham. He is affiliated with the Department of Finance and plays a leadership role in shaping the school's international strategy. His research is widely published in premier finance journals, and he serves on editorial boards including as Associate Editor for British Accounting Review . Education: PhD in Banking and Finance, University College Dublin, Ireland (2013) MA in Financial Risk Management, Simon Fraser University, Canada (2007) BE (Hons) in Computer Science, India (2006) His research focuses on corporate finance , particularly IPOs, corporate governance, privatization, and dividend policy, with a strong emphasis on institutional and emerging market contexts. His work explores how legal, political, cultural, and media factors influence corporate financial decisions, especially in initial public offerings and payout policies. Using empirical methods, he investigates global patterns in financial markets, often drawing on cross-country datasets to assess the impact of governance reforms, ownership structures, and socio-political events. The recent articles reflect a consistent focus on IPO pricing dynamics, influenced by democracy, media, terrorism, board reforms, and legal frameworks. His research integrates insights from political economy, behavioral finance, and institutional theory, demonstrating a multidisciplinary approach to understanding financial markets. A recurring theme is the role of transparency, governance, and external shocks in shaping corporate financial behavior. Scientific Awards and Editorial Roles: Associate Editor, British Accounting Review Area Editor (Frontier Markets), Research in International Business and Finance Dr. Goyal has advised doctoral and postdoctoral researchers in finance, though specific names are not listed. He has secured research funding through collaborative projects reflected in his co-authored publications with international scholars. His past academic appointments include positions at University College Cork and the University of Liverpool, along with visiting roles at Monash University, Xi’an Jiaotong-Liverpool University, and Manipal University, indicating a strong global academic network. He teaches advanced courses such as Contemporary Topics in Banking and Finance (MBA) and Private Equity and Venture Finance (MSc), contributing significantly to graduate education. He leads no named research lab or center in the provided text, but his editorial roles and global engagement position suggest active participation in research communities and international academic collaborations.

Emie Yiannakaمشاهده پروفایل

استاد

• Agricultural Economics
• Agri-food Sector
• Innovation Economics
• +۵ مورد دیگر

Emie Yiannaka is a Professor in the Department of Agricultural Economics at the University of Nebraska-Lincoln, affiliated with the College of Agricultural Sciences and Natural Resources. Her research focuses on the economic impacts of new technologies and policies in the agri-food sector, including genetically modified products, food fraud, and consumer behavior. Ph.D. in Agricultural Economics, University of Saskatchewan (2002) M.Sc. in Agricultural and Resource Economics, Mediterranean Agronomic Institute at Chania, Greece (1996) M.A. in Agricultural Policy, Mediterranean Agronomic Institute at Chania, Greece (1995) B.Sc. in Agricultural Economics, Aristotle University of Thessaloniki, Greece (1994) Her research spans topics such as innovation economics, intellectual property strategies, consumer acceptance of food technologies, and the economic effects of corporate social responsibility. Recent work examines food fraud deterrence, information avoidance behavior, and ecosystem services valuation. She has published extensively in journals like Journal of Agricultural and Resource Economics , PLOS ONE , and American Journal of Agricultural Economics . Yiannaka has taught courses including Agricultural Marketing in Multinational Environments, Applied Welfare Economics, and Innovation Strategies. She has mentored numerous advisees, including Mavroutsikos C., Deka A., Britwum K., and Meerza S.I.A., who co-authored key publications on food fraud and consumer behavior.

Jim Smithمشاهده پروفایل

استاد

• Interactive Artificial Intelligence
• Statistical Disclosure Control
• Privacy Leakage from AI Models
• +۷ مورد دیگر

Jim Smith is a Professor in Interactive Artificial Intelligence at the University of the West of England (UWE), Bristol, affiliated with the School of Computing and Creative Technologies and the Department of Computer Science and Creative Technologies. He serves as Director of the Computer Science Research Centre and leads the AI@UWE theme. His research is supported by UKRI, Innovate UK, and partnerships with organizations including Health Data Research UK, Office for National Statistics, NHS Scotland, and DSTL. University: University of the West of England School: School of Computing and Creative Technologies Department: Department of Computer Science and Creative Technologies Role: Professor in Interactive Artificial Intelligence Leadership: Director, Computer Science Research Centre Research Interests : Jim Smith's work focuses on Interactive Artificial Intelligence, particularly at the intersection of AI and privacy preservation when using sensitive data for public good. His research includes statistical disclosure control, privacy leakage from AI models, evolutionary computation, machine learning, and systems that learn through human interaction or self-adaptation. He explores how AI can automate privacy checks in research outputs and assess vulnerabilities in trained models. Recent Publications : His recent work spans AI privacy in trusted research environments (e.g., SACRO, SDC-Reboot), dialogue act classification, human-robot interaction, and visualization of deep learning models. Themes include privacy-preserving AI, automated disclosure control, interactive machine learning, and neuromorphic computing. Machine Learning & Privacy Evolutionary Computation Interactive AI Systems Human-Computer Interaction Statistical Disclosure Control Federated Learning Security Scientific Awards : No specific awards are mentioned in the provided texts. Advising and Grants : He currently supervises PhD students on topics including spatio-temporal air quality modeling, federated learning privacy, and threat detection in mobile networks. He leads Innovate UK and UKRI-funded projects such as SACRO and SDC-Reboot, focusing on AI-driven solutions for data confidentiality in public sector research. Interactive Machine Learning for Claim Settlement (Innovate UK) SDC-Reboot (DARE UK/Health Data Research UK) Threat Identification in Mobile Networks (Ribbon Communications) Labs and Teams : He leads the AI@UWE initiative and the Computer Science Research Centre at UWE. His work involves collaboration through DARE UK and open-source development via the AI-SDC GitHub organization, which hosts tools from SACRO and GRAIMATTER projects.

• Networked Systems
• Distributed Systems
• Social Computing
• +۵ مورد دیگر

Krishna Gummadi is a Scientific Director and Professor at the Max Planck Institute for Software Systems (MPI-SWS) in Germany, where he leads the Networked Systems Research Group. He also holds a professorship at the University of Saarland, demonstrating his dual commitment to research and academic instruction in computer science. His educational background includes: Ph.D. in Computer Science and Engineering from the University of Washington (2005) B.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Madras (2000) Gummadi's research spans networked and distributed computer systems with a current focus on social computing systems. His work addresses critical challenges in algorithmic fairness, privacy in social media, trustworthiness of online identities, and information dissemination in social networks. He approaches these problems through interdisciplinary methods combining user-centric studies, data-centric analysis, and systems-centric design to create practical solutions that enhance fairness, transparency, and user control in online platforms. His methodology integrates large-scale observational studies, computational modeling, and system implementation to tackle complex human-computer interaction challenges at societal scale. His recent publications reveal a strong emphasis on fairness in algorithmic decision making, with significant contributions to quantifying and addressing discrimination in machine learning systems. His work bridges computer science, social science, and ethics, creating frameworks for fair classification, understanding media bias, and developing privacy-preserving techniques that maintain functionality while protecting user data. The research demonstrates a progression from technical system design to addressing societal implications of computing systems. Among his notable scientific achievements: ERC Advanced Grant in 2017 for 'Foundations for Fair Social Computing' Test of Time Awards at ACM SIGCOMM and AAAI ICWSM Casper Bowden Privacy Enhancing Technologies (PET) and CNIL-INRIA Privacy Runners-Up Awards IW3C2 WWW Best Paper Honorable Mention Multiple Best Paper awards across prestigious conferences Gummadi has advised numerous PhD students and postdoctoral researchers who have gone on to prominent positions in academia and industry. His ERC Advanced Grant has supported extensive research into fair social computing, while his leadership in major conferences (including serving as General Chair for ICWSM 2016 and Program Chair for WWW 2015) has shaped research directions in the field. His teaching portfolio includes courses on Distributed Systems, Human-Centered Machine Learning, and Social Media Analysis. He leads the Networked Systems Research Group at MPI-SWS, which has developed several publicly available systems including tools for fair classification, privacy risk assessment, trust evaluation in social media, and information diet management. The group's work bridges theoretical advances with practical implementations that address real-world challenges in social computing, with numerous software releases and datasets made available to the research community.