Find Academic Supervisors

Jake GoldenfeinView profile

Senior Lecturer

• Platform Regulation
• Data Governance
• Digital Surveillance
• +5 more

Jake Goldenfein is a Senior Lecturer at Melbourne Law School and a Chief Investigator in the ARC Centre of Excellence for Automated Decision-Making and Society. His research focuses on platform regulation, data governance, digital surveillance, and automated decision-making systems. He authored the monograph Monitoring Laws (2019) and has contributed to critical analyses of facial recognition technology, AI governance frameworks, and the ethical dimensions of automated systems. Before joining Melbourne Law School, Goldenfein was a Postdoctoral Research Fellow at Cornell Tech’s Digital Life Initiative. His work bridges legal scholarship with technological critique, emphasizing how law constructs data economies and shapes digital rights. Recent projects include submissions to parliamentary inquiries on AI, social media regulation, and privacy in automated systems. His research outputs span policy submissions, academic articles, and interdisciplinary studies, addressing themes such as algorithmic transparency, human-in-the-loop systems, and the intersections of labor rights with automated decision-making. Goldenfein’s writing often critiques corporate influence in digital rights advocacy and explores the societal implications of emerging technologies. Key contributions include analyses of facial recognition’s privacy risks, critiques of AI ethics commodification, and proposals for regulatory frameworks balancing innovation with accountability. His work is informed by both academic rigor and practical policy engagement, aiming to shape legal responses to technological change.

Loup CellardView profile

Research Fellow

• Algorithms and Data Centres
• Ecological Impacts of Automated Decision-Making
• Science and Technology Studies
• +3 more

Loup Cellard is a Postdoctoral Research Fellow at the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S) at the University of Melbourne, affiliated with Melbourne Law School. His research focuses on the ecological impacts of data centres and automated decision-making (ADM), drawing on science and technology studies (STS) and materialist media studies. He holds a PhD from the University of Warwick (UK), where his thesis explored algorithmic transparency through ethnographic fieldwork at France's Etalab open data initiative. Before joining ADM+S, he worked as a data visualisation designer at Sciences-Po Paris and EPFL Lausanne, and as an editor for the design criticism journal Strabic . His current project examines environmental challenges of data centre cooling infrastructures in Marseille, France. He has authored policy-relevant white papers on algorithmic transparency cited in Algorithm Watch's reports and contributed to interdisciplinary collaborations across law, computer science, and social sciences. Active in cross-national research networks, Cellard's work bridges technical practices with societal implications of ADM systems, emphasizing ethical governance and policy innovation.

• Cryptography
• Blockchain Technology
• Network Security
• +7 more

Danilo Gligoroski is a Professor at the Department of Information Security and Communication Technology at NTNU. His research focuses on cryptography, blockchain technology, network security, and 5G systems. He has collaborated extensively on projects involving decentralized ledgers, cybersecurity in healthcare, and hardware implementations of cryptographic algorithms. Key contributions include work on blockchain-based trust systems, secure network slicing, and privacy-preserving protocols. Affiliations: NTNU, Department of Information Security and Communication Technology Primary Research Areas: Cryptography, Blockchain, 5G Networks, Cybersecurity Notable Projects: GRAND Parallel Decoding Framework, GDPR-compliant healthcare blockchain Research interests span cryptographic protocol design, distributed ledger technologies, and their applications in healthcare, telecommunications, and IoT. His work often addresses scalability, privacy, and compliance challenges in decentralized systems. Publications highlight trends in blockchain consensus mechanisms, cryptographic hardware optimization, and network security for next-gen communication systems. Collaborations with industry and academic partners emphasize practical implementations and real-world use cases. Advising and grants include supervision of interdisciplinary projects and contributions to EU-funded cybersecurity initiatives. Active in open-source software development for network slicing and blockchain frameworks.

Mohammad Naser Sabet JahromiView profile

Assistant Professor

• Explainable Artificial Intelligence
• Biometrics
• Machine Learning
• +4 more

Mohammad Naser Sabet Jahromi is an Assistant Professor at the Department of Architecture, Design and Media Technology, Aalborg University, Denmark. He is affiliated with the Visual Analysis and Perception Centre for AI Ethics, Law and Policy. His research focuses on explainable AI (XAI), biometrics, machine learning, and ethical AI applications in legal and medical domains. He actively participates in interdisciplinary projects like REPAI: Responsible AI for Value Creation (2023-2027), which explores AI ethics, computational discourse analysis, and value-driven AI systems. His educational background is not explicitly detailed in the provided text, but his research trajectory indicates strong expertise in computer science and AI systems. Key research interests include interpretable machine learning models, privacy-preserving biometric systems, and AI applications in asylum adjudication and educational assessment. Recent work emphasizes developing XAI frameworks like SIDU-TXT for NLP, verifying machine unlearning mechanisms, and automating large-classroom assessments. His projects bridge technical AI advancements with societal implications through collaborations with legal and ethical scholars. Notable contributions include datasets evaluating XAI methods in medicine and methodologies for transparent AI decision-making. He has participated in conferences such as ICPR 2024 and JURISIN 2023, showcasing interdisciplinary research impact.

Omri AbendView profile

Associate Professor

• Computational Linguistics
• Natural Language Processing
• Semantic Representation
• +9 more

Omri Abend is an Associate Professor at The Hebrew University of Jerusalem, affiliated with the School of Computer Science and Engineering and serving as Chair of the Department of Cognitive and Brain Sciences. His research lies at the intersection of Computational Linguistics, Natural Language Processing, and Cognitive Science, with a focus on semantic representation and language acquisition modeling. His primary research interests include: Computational modeling of child language acquisition Semantic representation frameworks, particularly Universal Conceptual Cognitive Annotation (UCCA) Statistical learning and machine translation Unsupervised grammar learning and lexical relation induction Cross-lingual and cross-domain alignment in language models Evaluation methodologies for NLP systems His recent publications demonstrate a strong trend toward analyzing large language models (LLMs), exploring human-like patterns in AI, improving evaluation metrics, and applying NLP to humanitarian domains such as Holocaust testimony analysis. His work combines theoretical linguistic insights with practical machine learning applications. Scientific awards include: Outstanding Paper Award at ACL 2017 Area Chair Award for Best Paper in the Track at ACL 2023 He has supervised and collaborated with numerous researchers and students across projects in semantic parsing, machine translation, and cognitive modeling. His work has been supported by community-wide initiatives such as the MRP shared tasks, which he co-organized. He also leads research on ethical AI, open human feedback, and the computational analysis of historical narratives. Omri Abend leads several research teams focused on: The development and application of the UCCA framework for semantic annotation Cross-lingual and cross-domain knowledge representation in LLMs Computational modeling of language acquisition Evaluation and improvement of NLP systems Application of NLP to digital humanities and historical testimony analysis

• Digital Journalism
• Media Transformation
• Journalism and Technology
• +7 more

Laura Angela Amigo is a postdoctoral researcher at the Institute of Media and Journalism (IMeG) within the Faculty of Communication, Culture, and Society at Università della Svizzera italiana (USI). She also serves as a senior lecturer in communication at the InfoCom Department, University of Lille, France. Her work bridges academic research and practical media innovation across Europe. PhD in Journalism and Communication, University of Neuchâtel, Switzerland Master's in Communication, University of UMLV, France (magna cum laude) Master's (maîtrise) in Law and Political Science, University of Nice, France (magna cum laude) Bachelor's in Political Science, University of Lyon 3, France (cum laude) Her research centers on the digital transformation of journalism, particularly how emerging technologies reshape news production and how media organizations engage audiences. She investigates the use of AI in journalism, ethical challenges in public communication, and participatory forms of local journalism. Her work combines qualitative and critical approaches to understand evolving media ecosystems. The 15 most recent articles reflect a strong trajectory in digital journalism, audience engagement, and ethical implications of AI in media. Keywords include Artificial Intelligence, Journalism, Communication, Ethics, Digital Media , and Public Communication . The subfields span AI ethics, immersive journalism, participatory practices, newsroom innovation, algorithmic transparency, and media democratization , showing a consistent focus on technology's societal impact on journalism. Scientific recognition includes competitive funding and formal qualification: Qualification for assistant professorship, French National Council of Universities (CNU) Funding from Swiss National Science Foundation (SNSF) Funding from French National Research Agency (ANR) EU Horizon 2020 project 'Diacomet' Research commissioned by Swiss Federal Media Commission (COFEM) Study funded by Initiative for Media Innovation (IMI) Laura Amigo actively advises and contributes to academic and policy-oriented research. She has led major funded projects and collaborated internationally. Though no formal students are listed, her leadership roles in research and teaching indicate mentorship capacity. She has delivered over 50 presentations and taught at universities in Switzerland, France, Belgium, and Italy, demonstrating broad academic engagement. She is affiliated with the Institute of Media and Journalism (IMeG) at USI, a hub for critical media studies and innovation. Her involvement in EU and national projects positions her within influential research networks focused on media ethics, digital transformation, and public communication.

Zongyuan GeView profile

Associate Professor

• Medical Artificial Intelligence
• Computer-aided Diagnosis
• Biomedical Engineering
• +7 more

Associate Professor Zongyuan Ge is an interdisciplinary researcher in Medical Artificial Intelligence, Computer-aided Diagnosis, and Biomedical Engineering at Monash University, holding tenure in both the Faculty of IT and the Faculty of Engineering. He leads the Monash Medical AI group, supervising over 30+ PhD students and 5 Research Fellows. His research focuses on leveraging AI for medical imaging, genomics, and clinical decision-making, addressing diseases like diabetic retinopathy, cardiovascular conditions, and neurodegenerative disorders. Ge has attracted over $35M in funding from NHMRC, MRFF, and industry partners like NVIDIA and Airdoc, with a h-index of 40 and 10,000+ citations. Awards: Wu Wenjun Award (2019, 2022), NVIDIA AI Fellowship, APRS Early Career Award (2021) Entrepreneurship: Founded Eyetelligence (venture-backed $25M) and serves as Chief Scientist at Airdoc, whose products have served millions globally. Community Engagement: NVIDIA DLI instructor, program committee member for AAAI/IJCAI, and editorial roles in journals like IEEE Transactions on Medical Imaging. Ge’s work bridges academia and industry, contributing to AI-driven healthcare solutions such as eye disease screening systems and the HELIX healthcare data platform. His research emphasizes ethical AI frameworks and interdisciplinary collaboration.

Jialu ZhangView profile

Assistant Professor

• AI for Programming
• LLM-Powered Software Development
• Automated Debugging
• +4 more

Jialu Zhang is a Tenure-Track Assistant Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. Her research focuses on AI-driven solutions for programming challenges, including LLM-powered software development, automated debugging, and program repair. She holds a PhD in Computer Science from Yale University (2023) and a BS in Electrical and Computer Engineering from Shanghai Jiao Tong University (2017, IEEE Honor Class). Her work emphasizes practical applications like Gmerge (merge conflict resolution), PyDex (automated code repair), and Clef (AI-assisted competitive programming). She collaborates with Microsoft Research’s RiSE and PROSE teams, exploring industry partnerships in AI-assisted software engineering. Recent projects include productizing Gmerge for Microsoft Edge and developing educational tools like PyDex for AI-driven tutoring systems. Zhang actively seeks students (Masters/PhD/interns) and industry collaborations to advance AI’s role in programming and software engineering. Her research bridges foundational AI capabilities with real-world software development challenges, emphasizing both technical innovation and educational impact.

Meriem BenyahyaView profile

Researcher

• Connected and Automated Vehicles
• Cybersecurity
• Data Privacy
• +3 more

Meriem Benyahya is a Postdoctoral Researcher at the University of Geneva's Research Institute for Statistics and Information Science. Her work focuses on cybersecurity, data privacy, and regulatory frameworks for connected and automated vehicles (CAVs). She has published extensively in journals like Journal of Transportation Engineering and IEEE Access , addressing topics ranging from certification roadmaps for CAVs to GDPR compliance in automated transport systems. Education : - Ph.D., University of Geneva - Specialization in Applied Algorithmics (Executive Program) Research Highlights : - Systematic reviews of threat analysis methodologies for CAVs - Cybersecurity certification gaps and penetration testing strategies - Human-centric risk visualization for dynamic safety assessment Professional Engagement : - Active contributor to conferences like ARES 2023 - Collaborates with industry on modular CCAM (Connected and Autonomous Mobility) architectures

• Cybersecurity
• Information Security
• Internet of Things
• +12 more

Niels Alexander Nijdam is a Senior Lecturer and researcher at the University of Geneva, affiliated with the Centre Universitaire d'Informatique (CUI) and the Geneva School of Economics and Management (GSEM). He leads the Information Security group (I-Sec lab) under the Research Institute for Statistics and Information Science (RISIS), focusing on cutting-edge research in cybersecurity, privacy, and distributed systems. PhD in Computer Science, University of Geneva His research interests span cybersecurity, Internet of Things (IoT), autonomous vehicles, smart cities, medical imaging, and virtual reality. He has pioneered work in secure frameworks for connected vehicles, trusted computing in embedded systems, GDPR compliance in mobility, and human-centric security visualization. His recent publications reflect a strong focus on automotive cybersecurity, blockchain for IoT, and risk assessment methodologies. The trend in his recent work (2019–2023) shows a consistent emphasis on cybersecurity in emerging technologies, particularly in transportation and IoT domains, integrating technical security mechanisms with regulatory and human factors. His publications frequently involve collaboration with researchers like M. Benyahya, A. Collen, and T. Lenard. Dr. Nijdam has not been explicitly mentioned with any scientific awards or fellowships in the provided text. As a research leader and senior lecturer, he supervises and mentors students and researchers within the I-Sec lab, though specific advisees are not listed. He has led multiple research projects related to IoT security, autonomous shuttles, and blockchain applications. No specific grants are mentioned, but his extensive publication record suggests active research funding. He directs the Information Security group (I-Sec lab), a research team focused on cybersecurity challenges in distributed and embedded systems, particularly in smart cities and autonomous mobility. The lab engages in both theoretical and applied research, often in collaboration with industry and academic partners.

Sven FeurerView profile

Research Professor

• Consumer Behavior
• Pricing
• Innovation Management
• +5 more

Prof. Dr. Sven Feurer is a Research Professor of Marketing at Bern University of Applied Sciences' Business School, leading the Institut Marketing & Global Management. His roles include Co-Institutsleiter and Head of the Marketing Group since 2022. He holds a PhD from the University of Mannheim and has held academic positions at Karlsruhe Institute of Technology and Vanderbilt University. His research focuses on consumer behavior, pricing strategies, innovation management, and marketing ethics, with prominent publications in Journal of Marketing , Journal of Consumer Research , and Journal of Product Innovation Management . His research explores topics such as radical innovation adoption, technology acceptance, and pricing fairness. Notable projects include studying AI's influence on price perception and consumer reactions to personalized pricing. He collaborates internationally, including with Vanderbilt University's Owen Graduate School of Management. Feurer’s 20+ peer-reviewed articles address dynamic energy tariffs, B2B social media use, and consumer responses to really new products. He co-authored the 2024 book Price fairness . His work bridges academic rigor and practical marketing challenges, emphasizing ethical considerations in pricing and innovation.

Chanyuan Zhang ParkerView profile

Assistant Professor

• Artificial Intelligence
• Auditing
• Machine Learning
• +6 more

Chanyuan Zhang Parker serves as an Assistant Professor in the Department of Accounting at the University of Texas at San Antonio (UTSA) within the Alvarez College of Business since July 2023, specializing in the transformative impact of Artificial Intelligence on accounting and auditing practices. Her research has garnered significant attention from regulators including the Public Company Accounting Oversight Board (PCAOB) and the American Institute of CPAs (AICPA), as well as industry practitioners. Her academic credentials include: Ph.D. in Accounting, Rutgers Business School (May 2022) B.S., Southwestern University of Finance and Economics, China Dr. Zhang Parker's research program centers on Artificial Intelligence applications in financial reporting and audit contexts, with particular expertise in Machine Learning, Natural Language Processing, Explainable AI, and Robotic Process Automation. She has developed innovative curriculum including the AICPA's audit automation course modules and teaches undergraduate courses in Accounting Information Systems and Auditing, graduate-level Robotic Process Automation, and MBA-level Information Technology. Her work bridges technical AI methodologies with practical accounting challenges, focusing on material misstatement prediction, fraud detection, and real-time financial reporting systems. Analysis of her publication record reveals a consistent trajectory toward increasingly sophisticated AI applications in auditing, evolving from foundational RPA implementations to cutting-edge generative AI and explainable systems. Her recent work demonstrates strong alignment with regulatory priorities, particularly in predictive analytics for financial misstatements and transparency in AI-driven audit processes. Dr. Zhang Parker actively collaborates with professional organizations, evidenced by her research being adopted as a California CPA continuing professional education course. She has developed comprehensive teaching materials for emerging technologies in accounting education and contributes to industry standards through her work with the AICPA on audit automation frameworks.

• Human-Robot Interaction
• Explainable Robotics
• Assistive Robotics
• +5 more

Dr. Maryam Banitalebi Dehkordi is a Senior Lecturer in Robotics and AI at the University of Hertfordshire, UK. She holds a PhD in Perceptual Robotics from Scuola Superiore Sant'Anna (Italy) and a master's in Mechatronics from University Technology Malaysia. Her career spans academia and industry, with roles at institutions like Technical University of Munich and NavVis GmbH, as well as industry projects such as the Innovate UK-funded AgriRobot. Her research focuses on Human-Robot Interaction (HRI) , Explainable Robotics , Assistive Robotics , and autonomous systems . Key projects include DOC (navigation aid for visually impaired individuals) and AgriRobot (precision agricultural robotics). She has expertise in activity recognition via smartphone sensors, navigation systems, and social robotics interfaces. Publications (2012–2025) emphasize explainable AI in robotics, feature selection for activity recognition, and social behavior interpretation. Her work bridges theoretical robotics with real-world applications in healthcare, agriculture, and accessibility. No awards are explicitly listed, but her extensive collaboration network (Italy, Germany, UK) reflects interdisciplinary impact. She advises on robotics projects and has contributed to both academic journals and industry collaborations.

• Web Science
• Scientific Workflow Systems
• Semantic Web
• +3 more

David Newman serves as a Senior Enterprise Fellow within the Electronics and Computer Science department at the University of Southampton's Faculty of Engineering and Physical Sciences. His research focuses on the intersection of web science, scientific workflow systems, and semantic technologies, with particular emphasis on developing infrastructure for collaborative research environments. His primary research interests center around Web Science , Scientific Workflow Systems , and Research Objects , where he investigates how digital platforms can enhance scientific collaboration. Newman's work explores the social dimensions of scientific computing through projects like myExperiment, examining how researchers share and reuse computational workflows. His research bridges technical infrastructure development with social computing aspects of scholarly practice, contributing to the evolution of virtual research environments that support modern scientific collaboration across disciplines. Analysis of Newman's publication history reveals consistent contributions to the development of semantic platforms for scientific collaboration, particularly through the myExperiment project. His work spans from foundational research on scientific social objects (2011) to practical implementations like Erica the Rhino (2016) that demonstrate real-world applications of workflow systems. The publications show progression from theoretical frameworks for research objects toward applied implementations in digital art and news enrichment, reflecting both technical depth and interdisciplinary reach. While no specific scientific awards are documented in the available materials, Newman's contributions to the myExperiment platform represent significant impact in the research infrastructure community. His work has helped shape how scientists share and discover computational workflows, contributing to more efficient and collaborative research practices across multiple disciplines. As a Senior Enterprise Fellow, Newman contributes to the university's research ecosystem through development of digital research infrastructure rather than traditional student supervision. His work focuses on creating platforms that support researcher collaboration at scale, with implications for how scientific communities organize and share knowledge in the digital age. The myExperiment platform, in particular, has served as an important testbed for concepts now mainstream in research computing. Newman's research is closely associated with the Web & Internet Science group at Southampton, where he has contributed to the development of semantic technologies for research communities. His work represents an important strand of the university's leadership in web science and digital research infrastructure, connecting technical innovation with practical applications for scholarly communication and collaboration.

Badis HammiView profile

Assistant Professor

• Cybersecurity
• Internet of Things (IoT)
• Blockchain Technology
• +5 more

Badis Hammi is an Assistant Professor at Telecom SudParis, specializing in cybersecurity and network security. His research focuses on IoT security, blockchain applications, botnet detection, and vehicular networks. He has authored numerous peer-reviewed articles on topics such as malware analysis, phishing detection frameworks, and decentralized security solutions in smart homes and healthcare sectors. Education PhD in Cryptography and Security (2015), Université de Technologie de Troyes Research Interests Cybersecurity frameworks for IoT and blockchain systems Malware detection methodologies PKI security in cooperative intelligent transportation systems (C-ITS) Phishing prevention using graph neural networks Botnet activity analysis in cloud environments Recent Article Trends His recent work emphasizes blockchain's role in mitigating supply chain fraud, improving smart home security, and securing vehicular communications. He also explores machine learning approaches for detecting Sybil attacks and network anomalies in distributed systems. Grants & Advising Active in collaborative projects with industry partners on vehicular network security Advises on EU-funded initiatives for blockchain-based authentication systems Labs/Teams Affiliated with the SAMOVAR research lab at Telecom SudParis, focusing on network and system security.