جست‌وجوی استاد و پژوهشگر

Michaela MacDonaldمشاهده پروفایل

مدرس ارشد

• Cybersecurity Law
• IoT Product Development
• Technology Law
• +۳ مورد دیگر

Dr. Michaela MacDonald is a Senior Lecturer in Law and Technology at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her teaching focuses on interdisciplinary modules such as Cybersecurity Law, IoT Product Development and Management, and Product Development and Marketing through the BUPT joint programme. These courses address legal implications of emerging technologies, digital privacy challenges, and innovative business strategies in technology sectors. Her research explores intersections between technology and law, particularly in areas like intellectual property in digital environments, video game industry regulation, and ethical challenges posed by autonomous systems. She has published extensively on topics including copyright enforcement in gaming, digital colonialism critiques, and legal frameworks for virtual property. Notable areas of focus include: Regulatory responses to emerging technologies Copyright law adaptation for digital content Psychological and legal aspects of gaming mechanics Historical legal analogies for modern AI governance Ethical considerations in IoT and product development Her work bridges technical innovation with legal scholarship, addressing both substantive legal challenges and procedural gaps created by rapid technological advancement. Current research trends emphasize digital rights management, platform liability, and the evolving role of law in mediating technological progress.

Sally Gschwendمشاهده پروفایل

استادیار

• Academic Administration
• Research Management
• Economics Research Support
• +۳ مورد دیگر

Sally Gschwend serves as an Administrative Assistant Professor in the Department of Economics at the University of Zurich. Her primary responsibilities include translations, editing papers for publication, and providing administrative support in research and teaching. She oversees semester planning, manages office supplies, and handles hardware/software procurement. Additionally, she administers general operating funding, third-party funding, expense reports, and invoices. Sally also manages accounting for the behavioral economics and SNS labs, organizes meetings, conferences, and guest visits, and maintains website updates. She contributes to the Ethics Committee and the Faculty of Economics, Business Administration, and Information Technology.

Laura Kockschمشاهده پروفایل

استادیار

• Cybersecurity
• Science and Technology Studies
• Anthropology
• +۳ مورد دیگر

Laura Kocksch is an Assistant Professor at Aalborg University’s Department of Culture and Learning, part of The Faculty of Social Sciences and Humanities. She is affiliated with The Techno-Anthropology Lab and MASSHINE, focusing on the socio-technical dynamics of cybersecurity, digital infrastructures, and repair practices. Her research bridges Science and Technology Studies (STS), Anthropology, and Human-Computer Interaction (HCI), emphasizing how humans navigate insecure technologies. A notable contribution is her 2024 monograph *Fragile Computing: How To Live With Insecure Technologies*, exploring societal adaptations to technological vulnerabilities. Her teaching integrates ethnographic fieldwork, digital methods, and participatory design, including courses on cybersecurity ethics, feminist STS, and data storytelling. She has co-supervised participatory data ethnographies, fostering student engagement with real-world data challenges. Beyond academia, she served as a board member of stsing e.V. (2020–2023) and collaborates with industry via projects like *Forskningssamarbejde med Erhvervsstyrelsen om Digital Sikkerhed*, addressing SME cybersecurity challenges through ethnographic insights. Kocksch leads or co-leads multiple interdisciplinary projects, including *DigiBreak-Ethnographic Perspectives on Telecommunication Disruptions and Cyberattacks* (2024–2027) and *GE-AI: Generative Ethnographic AI* (2023), which explore AI’s role in prolonging ethnographic encounters. Her work often highlights the interplay between technical systems and human practices, advocating for care-oriented approaches to cybersecurity. Her recent publications analyze cybersecurity in SMEs, generative AI in ethnography, and Arctic infrastructure breakdowns. While no explicit awards are listed, her active role in shaping cybersecurity discourse through teaching, research, and industry collaboration underscores her academic influence.

Hillary Lenfestyمشاهده پروفایل

استاد پژوهشی

• Evolutionary Origins of Religion
• Morality and Cooperation
• Cognitive Science
• +۳ مورد دیگر

Hillary Lenfesty is an Assistant Research Professor at Arizona State University, affiliated with the School of Human Evolution and Social Change and the Institute of Human Origins. Her research focuses on the evolutionary origins of religion, morality, and cooperation, employing interdisciplinary approaches from anthropology, cognitive science, and evolutionary biology. Her work explores mechanisms such as third-party arbitration, prestige systems, and neurobiological factors influencing cooperative behavior. Recent studies include modeling cooperation under perception errors and analyzing the autonomic nervous system’s role in religious prosociality. Key contributions address cross-cultural moral decision-making, the philosophical implications of evolutionary religion theories, and the development of computational tools for studying social dynamics. Her research bridges evolutionary science, theology, and cognitive psychology, challenging traditional paradigms in understanding human sociality.

R. Stuart Geigerمشاهده پروفایل

استادیار

• Data Science and Society
• AI Ethics
• Algorithmic Transparency
• +۳ مورد دیگر

R. Stuart Geiger is an Assistant Professor at the University of California, San Diego with joint appointments in the Department of Communication and the Halıcıoğlu Data Science Institute. He holds affiliate faculty roles in Computer Science & Engineering, Computational Social Science, and the Institute for Practical Ethics, where he leads the Working Group on Data Governance & Accountability. His interdisciplinary work spans Science and Technology Studies, Data Science, and AI Ethics. Geiger earned his Ph.D. in Information Management & Systems from UC Berkeley, an M.A. in Communication, Culture, and Technology from Georgetown University, and a B.A. in Humanities from the University of Texas at Austin. His postdoctoral research at Berkeley Institute for Data Science (BIDS) focused on ethnographic studies of data science practices and institutions. Research Interests : His research examines the social, cultural, and political dimensions of data science, AI, and automation. Key areas include algorithmic fairness, open-source software governance, Wikipedia’s socio-technical dynamics, and the ethics of AI in social media moderation. He employs mixed methods, blending ethnography, trace analysis, and computational techniques. Publications Trends : Recent work critiques algorithmic bias in AI systems (e.g., ChatGPT’s salary negotiation advice), advocates for participatory auditing practices, and explores labor dynamics in open-source projects. His studies often bridge technical and social dimensions, emphasizing contextual inquiry and institutional critiques. Awards & Grants : - Best presentation award at ECSCW 2018 - 1st runner-up David B. Martin Best Paper Award (2018) - Sloan Foundation grants for open-source software studies - UC Humanities Research Institute funding (2022) - Top paper award at 2009 Science & Technology in Society Conference Advising & Grants : Geiger has led grants totaling over $200,000, including projects on open-source maintainers’ labor and data science ethics. He advises students in data science, communication, and STS, fostering interdisciplinary collaboration. His teaching includes courses on data ethics, algorithmic auditing, and communication theory. Labs & Teams : He co-founded the Best Practices in Data Science series at BIDS and collaborates with teams like the Moore-Sloan Data Science Environments. His work intersects with initiatives on diversity in data science and reproducible research practices.

Robbert Krebbersمشاهده پروفایل

دانشیار

• Semantics
• Separation logic
• Theorem proving
• +۱۳ مورد دیگر

Robbert Krebbers is an Associate Professor in the Department of Software Science at Radboud University Nijmegen, Netherlands. His research focuses on advancing program verification techniques for complex programming paradigms such as concurrency, higher-order functions, and modular code, with applications to systems languages like C, Rust, and Scala. He develops rigorous mathematical foundations and practical verification tools, primarily using the Coq proof assistant. His most significant research contribution is as co-designer and co-leader of Iris , a highly influential framework for concurrent separation logic in Coq. Iris has been widely adopted in verification projects worldwide. Before returning to Radboud, he served as an Assistant Professor at Delft University of Technology and completed a postdoctoral fellowship at Aarhus University. He earned his PhD cum laude from Radboud University between 2011 and 2015. His research interests include: Semantics Separation logic Theorem proving Coq Program verification Concurrent and higher-order programming His recent publications (2020–2025) show a consistent focus on mechanized verification, linearizability, session types, deadlock freedom, and foundational enhancements to Iris and separation logic. These works appear in top-tier venues like POPL, PLDI, ICFP, and OOPSLA, with several receiving distinguished paper or artifact awards. Notable scientific awards include: POPL 2023 Distinguished Paper Award (DimSum) POPL 2022 Distinguished Paper Award (Simuliris) PLDI 2021 Distinguished Paper and Artifact Awards (RefinedC) CPP 2021 Distinguished Paper Award (Machine-Checked Semantic Session Typing) ECOOP 2017 Distinguished Paper Award 2023 Alonzo Church Award (as part of Iris team) He has advised PhD students such as Ike Mulder and Jules Jacobs. He actively contributes to the academic community as a program committee member, steering committee member, and organizer for major conferences including POPL, PLDI, ICFP, and CPP. His work is supported by major grants such as ERC Consolidator Grant (RustBelt) and Villum Investigator Grant (CPV). He is a core member of the Logic and Semantics Group and the Iris research project, which involves collaborations across institutions globally. His personal website is https://robbertkrebbers.nl .

Andreas Haeberlenمشاهده پروفایل

استاد

• Distributed Systems
• Networking
• Security
• +۱۰ مورد دیگر

Andreas Haeberlen is a Professor in the Department of Computer and Information Science at the University of Pennsylvania, where he is a member of the Distributed Systems Lab (DSL) and co-director of the NETS program. He is currently on a leave of absence from Penn to lead the new systems group at Roblox Research, focusing on large-scale distributed systems in cloud and metaverse environments. University: University of Pennsylvania School: School of Engineering and Applied Science Department: Department of Computer and Information Science Academic Rank: Professor Email: ahae@cis.upenn.edu His research centers on distributed systems, networking, security, and privacy, with key interests in differential privacy, fault tolerance, secure network provenance, accountability in federated systems, and synchronous data center architectures. He aims to build practical systems that provide strong, provable privacy and security guarantees for real-world applications. The recent publications reflect a strong trend toward privacy-preserving distributed analytics, resilient cyber-physical systems, and secure, accountable federated infrastructures. His work combines techniques from programming languages, operating systems, and distributed computing to address fundamental challenges in scalability, security, and timing predictability. Key themes include bounded-time recovery, differential privacy in federated settings, and secure provenance for network diagnostics. Scientific Awards: Recipient of the Otto Hahn Medal from the Max Planck Society Recipient of the Ford Motor Company Award for Faculty Advising Recipient of the Lindback Award for Distinguished Teaching He has advised graduate students such as Karan Newatia and Robert Gifford, often in collaboration with Linh Thi Xuan Phan. His research is supported by active projects in differential privacy, synchronous data centers, resilient cyber-physical systems, secure network provenance, and accountability. He leads or co-leads major research initiatives that bridge academic innovation with industrial-scale deployment, particularly in cloud and metaverse platforms.

Peng Wangمشاهده پروفایل

مدرس

• Corporate Finance
• Corporate Governance
• ESG (Environment, Social, and Governance)
• +۳ مورد دیگر

Peng Wang is a Lecturer in Financial Management at the Southampton Business School, University of Southampton. He holds a PhD in Finance from Hanken School of Economics (Finland), an MSc in Computational Finance, and a Bachelor of Economics from Harbin Institute of Technology (China). His research focuses on corporate finance, corporate governance, and ESG (environmental, social, and governance) issues. Key areas include environmental performance in China, geopolitical economic uncertainty, and sustainable development strategies. He has published over 10 papers in top journals like Economic Modelling and International Review of Financial Analysis , securing £60,000 in research funding. Teaching: Extensive experience in management accounting, corporate governance, and Stata software training. Supervision: Currently guiding five PhD students in Business Studies & Management. Affiliations: Member of the Centre for Research in Accounting, Accountability and Governance and the CESAR Centre. His awards include the Pacific-Basin Finance Journal Best Paper Award (2013). Research interests extend to innovation vouchers for SMEs, convertible bonds in Chinese firms, and foreign institutional investor behavior in emerging markets.

Christopher Millardمشاهده پروفایل

استاد

• Privacy Law
• Information Law
• Cloud Computing Law
• +۳ مورد دیگر

Professor Christopher Millard is a leading academic in Privacy and Information Law at Queen Mary University of London, heading the Cloud Legal Project and co-directing the Microsoft Cloud Computing Research Centre. He has over 40 years of experience in technology law, combining academia with legal practice. His research focuses on cloud computing law, privacy, and emerging technologies, with major contributions to publications like Cloud Computing Law (Oxford UP). He has held roles such as Solicitor of the Senior Courts of England and Wales and Senior Counsel at Bristows. Awards include recognition as Internet and eCommerce Lawyer of the Year and fellowships from the Society for Computers & Law and the Royal Society of Arts. Teaching includes courses on EU Data Protection Law and Cloud Computing Law. His research explores cloud computing regulation, data protection, and blockchain implications. Recent publications analyze digital asset rights, cloud gaming, and IoT accountability. He advises on legal frameworks for technologies like blockchain and AI.

• Quantitative Finance
• Asset Pricing
• Financial Engineering
• +۳ مورد دیگر

Lorenz Schneider is a Professor of Finance at EM Lyon Business School in Lyon, France. His research focuses on quantitative finance, particularly asset distributions via maximum entropy techniques, multi-factor commodity futures models, and stochastic volatility. He holds a Ph.D. in Mathematics from Paris VI Pierre et Marie Curie University (1995–2001). Prior to academia, he worked as a Quantitative Analyst for Dresdner Kleinwort (2004–2009), specializing in commodity and hybrid derivatives. Schneider teaches courses on probability theory, commodity markets, and C++ numerical techniques. His work bridges mathematical rigor and practical finance applications, with notable contributions to energy market modeling and fair value accounting. Education: Ph.D. in Mathematics (2001), Paris VI Pierre et Marie Curie University Master’s in Mathematics (1997), University of Erlangen, Germany Bachelor’s in Mathematics (1995), Università degli Studi di Bologna, Italy Research Interests: Schneider’s research emphasizes quantitative methods in finance, including entropy-based techniques, multi-factor commodity models, and volatility analysis. He explores applications in energy markets, derivatives pricing, and financial engineering. His work on seasonal volatility in agriculture and Samuelson effects in crude oil markets demonstrates his expertise in empirical financial modeling. Grants/Advising: While specific grants are not detailed, his academic role suggests involvement in research funding. No advised students are listed in the provided texts.

Banu Sultanoğluمشاهده پروفایل

مدرس

• Accounting
• Auditing
• International Financial Reporting Standards
• +۳ مورد دیگر

Banu Sultanoğlu is a Lecturer at the Department of Accounting within the Faculty of Business Administration at Bilkent University. She holds a PhD in Accounting and Finance from Başkent University (2014) and has extensive professional experience as an auditor, including six years at Arthur Andersen, where she rose to Auditing Manager at the Ankara office. A Certified Public Accountant since 1999, she teaches courses in Principles of Financial Accounting and Managerial Accounting. Her research focuses on International Financial Reporting Standards (IFRS), Sustainability Reporting, and Auditing practices. Key interests include analyzing the impact of IFRS and TFRS on corporate reporting, evaluating environmental and climate change disclosures, and improving communication in financial statements through IASB initiatives. She has also explored topics such as auditor opinion modifications during financial crises, licensing revenue recognition in the software sector, and governance issues in Turkish football. Dr. Sultanoğlu’s publications span over 15 years, with recent work emphasizing sustainability reporting frameworks, climate change disclosures, and integrated reporting standards. Her analyses often compare Turkish practices with global standards, highlighting challenges in adopting and implementing new regulations. Notably, she has contributed to studies on IFRS 9’s impact on banking sectors and investigated fraud cases like the Fenerbahçe financial scandal. Her work bridges academic research and practical auditing, reflecting both theoretical rigor and industry relevance. She actively engages with professional bodies and educational reforms to enhance accounting education’s focus on sustainability and ethical practices.

• Ecosystem Carbon Capture
• Climate Change Mitigation
• Wetland Ecology
• +۵ مورد دیگر

Dr. Sparkle Malone is an Assistant Professor at Yale University's School of the Environment and a core faculty member of The Forest School. She leads the Malone Disturbance Ecology Lab, focusing on climate, hydrology, and land management impacts on ecosystem resilience. Her work integrates remote sensing, eddy covariance, and machine learning to develop natural climate solutions for carbon sequestration and biodiversity preservation. Education: PhD and MS from the University of Florida, BS also from the University of Florida. She teaches ENV 730a: Environmental Data Science in R and The Role of Methane in Global Climate Disruption . Research Interests: Carbon dynamics in wetlands, fire ecology, methane emissions, and ecosystem adaptation to climate extremes. Her lab emphasizes big data analytics and cross-scale modeling to inform sustainable land management practices. Labs/Teams: Malone Lab (Yale), Yale Center for Natural Carbon Capture. Collaborations include NASA's BlueFlux campaign and the AmeriFlux network. Advising & Grants: Actively mentoring doctoral students, with grant support from NSF (CAREER award) and environmental agencies focusing on coastal resilience and methane mitigation.

Michael ‘Six’ Silbermanمشاهده پروفایل

پژوهشگر ارشد

• Algorithmic Bias and Discrimination
• Algorithmic Management
• Digital Labor Platforms
• +۵ مورد دیگر

Michael ‘Six’ Silberman is a Postdoctoral Research Fellow at the Bonavero Institute of Human Rights, University of Oxford, contributing to the iManage Project on algorithmic management regulation. A former software engineer and trade union official, he co-founded Turkopticon to support Amazon Mechanical Turk workers through client reputation systems. His academic credentials include: PhD in Information and Computer Sciences, University of California at Irvine Dr. Silberman's research critically examines algorithmic bias in digital labor platforms, data protection law enforcement, and ecological economics. His work integrates software engineering practices with labor rights advocacy, emphasizing multistakeholder governance for digitally mediated markets and values-oriented business models. He pioneers frameworks for accountable algorithmic management and decent work conditions in content creation ecosystems. Recent publications reveal a cohesive focus on regulating platform labor through cross-jurisdictional experiments, EU policy blueprints, and consequence-aware information systems. This scholarship bridges computer science, labor law, and human rights, highlighting systemic vulnerabilities in crowdwork and proposing polycentric governance solutions. His notable recognition includes: Highly Commended in Social Sciences Impact Awards 2025 for the iManage Project As co-leader of the iManage Project with Jeremias Adams-Prassl, Dr. Silberman collaborates with Oxford's Technology & HR and Computers and Law Research Groups. His initiatives translate academic research into tangible worker protections, evidenced by Turkopticon's real-world impact and policy contributions to the EU Platform Work Directive. Current work centers on fortifying regulatory mechanisms for algorithmic management across global jurisdictions. Active within the Bonavero Institute's human rights framework, he advances interdisciplinary approaches to digital labor governance, with emerging research exploring ecological dimensions of information technology and organizational learning in platform economies.

Max Van Kleekمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Artificial Intelligence
• Privacy and Data Protection
• +۵ مورد دیگر

Max Van Kleek is an Associate Professor of Human-Computer Interaction at the University of Oxford's Department of Computer Science, with a joint appointment as Governing Body Fellow at Kellogg College. He teaches courses on Interaction Design, Secure System Design, and Data Science within the Software Engineering Programme. His research focuses on expanding individuals' capabilities to understand and control personal data, particularly in IoT environments and smart homes. Education: PhD (MIT, 2011), MEng (MIT, 2003), SB (MIT, 2001). Prior industry roles included positions at PARC, IBM Research, Nokia, Sun Microsystems, and MIT Media Lab. Research Interests: Privacy empowerment, personal autonomy, decentralized data systems, behavioral psychology, and ethical AI. Current projects include the EPSRC-funded 'Respectful Things in Private Spaces' exploring IoT privacy in domestic settings. Publications highlight work on platform hegemony, smart home accountability (Aretha, IoT Refine), and user-centric privacy tools like X-Ray Refine. Collaborates closely with experts like Sir Nigel Shadbolt and Tim Berners-Lee on social machines and Web science. Advising: Supervises PhD students across HCI, privacy, and ethics. Active in Oxford's Equality & Diversity committees and the Oxford Blockchain Society. Serves on the Departmental Ethics Committee (DREC) to ensure responsible research practices. Labs/Teams: Leads the PETRAS-funded ReTIPS project and contributes to the SOCIAM initiative. Research groups focus on privacy-by-design architectures and data sovereignty solutions.

Vincent Gramoliمشاهده پروفایل

استاد

• Distributed Computing
• Blockchain Technology
• Security
• +۴ مورد دیگر

Professor Vincent Gramoli is a Professor of Computer Science at the University of Sydney and Founder & CTO of Redbelly Network. He holds a PhD from Université de Rennes and a Habilitation from Sorbonne University. His research focuses on distributed computing, security, and blockchain technology. He has pioneered the Red Belly Blockchain, a high-performance, secure blockchain system, and co-developed the Diablo benchmark suite for evaluating blockchain systems. He has received awards including the CSIRO Digital National Facilities Award and the Australian Research Council Future Fellowship. Research interests span distributed consensus protocols, blockchain security, concurrent algorithms, and formal verification. He has advised central banks and served on technical committees for organizations like CORE and ACS. His teaching includes Distributed Systems at the University of Sydney and a Coursera MOOC on Blockchain Scalability. Key contributions include the Red Belly Blockchain (UTXO/account model compatibility, deterministic consensus), Diablo benchmark framework, and formal verification of consensus protocols. His work addresses scalability, security, and fault tolerance in distributed systems. Grants include ARC Future Fellowship (2019) and projects on blockchain security, consensus algorithms, and distributed computing. Current PhD students include Ankit Kapoor (Cryptography for Modern Applications) and Yuchen YE (Evolving Consensus in Complex Networks). Labs/Teams: Leads the Concurrent Systems Research Group at the University of Sydney, collaborating with industry partners like Algorand Foundation and Ethereum Foundation.