Find Academic Supervisors

• Routinely collected healthcare data
• Electronic Healthcare Records
• Large databases of EHRs
• +6 more

Dr. Agnieszka Lemanska is a Senior Lecturer in Health Data Science at the University of Surrey's School of Health Sciences within the Faculty of Health and Medical Sciences. She holds a joint appointment as a Senior Scientist at the National Physical Laboratory's Department of Data Science, where she contributes to improving healthcare data quality. Her research focuses on cancer-related studies using routinely collected healthcare data, with particular emphasis on early diagnosis and post-treatment outcomes. Dr. Lemanska earned her MSc in Pharmacy from the Medical University of Warsaw in 2005 and completed her PhD in Statistics and Machine Learning at the University of Bristol with GlaxoSmithKline funding. Her educational background bridges clinical pharmacy and advanced data science, creating a unique interdisciplinary perspective for her research. Her primary research interests center on routinely collected healthcare data, electronic healthcare records (EHRs), cancer-related primary care research, and data-driven early cancer diagnosis. She specializes in analyzing large databases of patient records including CPRD, ORCHID, and OpenSAFELY, with particular focus on pancreatic and prostate cancers. Her work addresses critical healthcare challenges including cancer diagnosis delays, treatment side effects, and healthcare system disruptions during the pandemic. Analysis of her recent publications reveals a strong focus on cancer epidemiology using large-scale electronic health records, with significant contributions to understanding pandemic impacts on cancer care. Her work demonstrates consistent methodological rigor across observational studies, systematic reviews, and clinical audits, with particular attention to real-world data applications in improving cancer diagnosis and treatment pathways. Dr. Lemanska actively contributes to multiple significant research projects including NPL Explorer's award for validating pancreatic cancer prediction algorithms, MRC Fellowship research on pandemic effects on cancer care, and EPSRC-funded PhD studentships investigating primary care data for early pancreatic cancer diagnosis. She has led important national audits on pancreatic enzyme prescribing and prostate cancer diagnosis disruptions during the pandemic. As an educator, she provides PhD, MSc, and BSc supervision while teaching across various healthcare programs including pharmacy, nursing, and physician associate curricula. Her international engagement includes serving as International Lead and Erasmus Coordinator for the School of Health Sciences, facilitating global academic collaborations and student exchanges.

Emily BlackView profile

Assistant Professor

• Algorithmic Fairness
• Anti-discrimination
• Machine Learning Policy
• +2 more

Emily Black is Assistant Professor of Computer Science and Engineering at NYU Tandon and Data Science at NYU CDS. Her research develops methods for fairness and accountability in AI systems, focusing on high-stakes domains like government and law. Key research areas: Legal implications of model multiplicity and less discriminatory algorithms Pipeline-aware fairness across ML development lifecycle Consistent predictions and counterfactuals for reliable AI Algorithmic fairness in tax auditing and public policy Her interdisciplinary approach bridges computer science, law, and policy to prevent algorithmic harm. Current projects examine how model instability creates unfair outcomes and how pipeline interventions can mitigate bias while maintaining utility.

Andre HolzapfelView profile

Associate Professor

• AI Ethics
• Music Technology
• Sustainability in Creative Technologies
• +3 more

Andre Holzapfel is an Associate Professor at the Division of Media Technology and Interaction Design within the Digital Futures Faculty at KTH Royal Institute of Technology. His research focuses on the intersection of artificial intelligence, music technology, and ethics, emphasizing interdisciplinary approaches to address societal challenges through digital innovation. He leads projects exploring AI's ethical implications in creative fields, sustainable practices in AI art, and cross-cultural music cognition. Key affiliations include Digital Futures, a tripartite research initiative with Stockholm University and RISE, and the Sound and Music Computing (SMC) Group at KTH. Holzapfel's work bridges engineering and humanities perspectives, addressing topics like AI governance, computational musicology, and embodied music cognition through dance studies. His research often involves global collaborations, evidenced by cross-cultural rhythm studies across 15 countries. Recent publications highlight urgent themes such as AI ethics in artistic practices, environmental sustainability of AI systems, and rethinking disciplinary boundaries for responsible innovation. He has organized international conferences like the Symposium on Sound, Movement, and the Sciences (SoMoS) and the International Workshop on Folk Music Analysis (FMA). Holzapfel's contributions span academic papers, conference proceedings, and policy-oriented frameworks aimed at guiding ethical AI development in creative industries.

• Labor Law
• Employment Rights
• Social Security
• +3 more

Francisco Andrés Valle Muñoz is an Associate Professor at Pompeu Fabra University (UPF), specializing in Labor Law. He holds a PhD in Law from UPF and a Law degree from Universitat de Barcelona. He teaches in the Master's Degree in Financial Management and Business Auditing at UPF Barcelona School of Management, both online and in-person. His research focuses on employment law, social security, labor processes, and trade union law, with particular attention to digital technologies' impact on workplace rights and legal evidence. His recent publications analyze topics such as algorithmic transparency in labor practices, admissibility of digital evidence (messaging apps, social media, emails), geolocation tracking, and surveillance technologies in legal proceedings. He has also written books on labor law fundamentals and collective rights in the digital workplace. Prof. Valle Muñoz actively participates in academic congresses, contributing to debates on evolving legal challenges in the digital age. His work bridges traditional labor law principles with modern technological realities, emphasizing ethical employer obligations and employee rights preservation.

• Computer Supported Cooperative Work (CSCW)
• Digital Collaboration
• Sustainable Digital Platforms
• +5 more

Elena Parmiggiani is an Associate Professor in Computer-Supported Cooperative Work (CSCW) and Digital Collaboration at NTNU's Department of Computer Science, where she also serves as Deputy Head of Department for Sustainability. She holds a part-time Senior Researcher position (20%) at Sintef Nord in Tromsø. Her research focuses on sustainable digital platforms, responsible AI, data curation, and digital transformation in public sectors. She leads the AI4Users project (2020-2025) and previously managed the AlgoCult research network. She earned her PhD in Computer Science from NTNU (2015), with a thesis on environmental monitoring infrastructures in offshore oil operations. Education: PhD in Computer Science, NTNU (2015) MSc in Computer Engineering, University of Modena and Reggio Emilia (2010) BSc in Computer Engineering, University of Modena and Reggio Emilia (2008) Research Interests: Her work examines sociotechnical challenges in digital platform implementation, data governance, and AI ethics. Methodologically, she employs ethnographically inspired interpretive approaches. Key themes include: Responsible AI (RAI) and its societal implications Data curation practices in data science and infrastructures Knowledge work transformation through digitalization Algorithmic governance in public services Publications: Her recent work analyzes citizen attitudes toward AI in welfare services, labor displacement in AI-driven sectors, and data governance in food supply chains. She co-edits the CSCW Journal and serves on editorial boards for the European Journal of Information Systems and Scandinavian Journal of Information Systems . Awards & Grants: Funded projects include Norwegian Research Council grants for AI4Users (IKTPLUSS) and AlgoCult (SAMKUL). She coordinates NTNU's Digital Enterprise Research Priority Area (2019-2022). Labs/Teams: Active in the Applied Information Technologies (AIT) group at NTNU, collaborating with industry partners like Sintef Nord. Her work bridges academic research with practical digital transformation initiatives in public and private sectors.

• Disaster Resilience
• Facilities Management
• Public-Private Partnerships
• +7 more

Professor Champika Liyanage is a distinguished academic at the University of Central Lancashire (UCLan), holding the position of Professor in Facilities Management at the School of Engineering and Computing. She is the first female professor in her school and serves as Co-Director of the Centre for Energy, Sustainable Development and Resilience. Her career at UCLan began in 2008 as a Lecturer, progressing through Senior Lecturer and Reader roles. Her research focuses on disaster resilience, sustainability, public-private partnerships (PPPs), and environmental management, with over 100 publications. Key areas include plastic waste management, agroecosystem resilience, and climate change adaptation. She has led projects on university-enterprise collaboration frameworks, evacuation strategies for high-rise buildings, and policy analysis for disaster risk reduction. Her work bridges academic research with practical applications, emphasizing socio-technical systems and community engagement. Awards and recognitions include contributions to innovation in disaster resilience and equity in education funding. She collaborates internationally, particularly in South Asia and Sri Lanka, addressing challenges in waste management, sustainable transport, and healthcare infrastructure. Her lab focuses on transforming research into actionable solutions for societal resilience. Education: PhD in Facilities Management from Glasgow Caledonian University (2006) Key Roles: Co-Director of the Centre for Energy, Sustainable Development and Resilience Research Themes: Disaster Risk Reduction, Sustainability, PPPs, Climate Adaptation Her recent work explores inclusive disaster education, blockchain in energy trading, and rebuilding displaced communities. She advocates for equitable university-enterprise partnerships and has developed frameworks for post-disaster housing and skills audits.

• Acoustic Signal Processing
• Speech Enhancement
• Microphone Array Processing
• +6 more

Dr Alastair Moore is a Researcher in the Dyson School of Design Engineering at Imperial College London, affiliated with the Speech and Audio Processing Laboratory. He holds a PhD from Imperial College and has industrial experience in consumer electronics. His research focuses on microphone array signal processing, speech enhancement in reverberant environments, and applications in augmented reality, hearing aids, and robot audition. Education: MEng in Electronic Engineering with Music Technology Systems (1st class) from University of York (2005); PhD in Binaural Hearing funded by France Telecom R&D (2012). Research Interests: He specializes in speech enhancement algorithms for wearable devices, binaural hearing systems, room acoustics modeling, and acoustic SLAM. His work includes developing virtual reality tools for hearing aid evaluation and room identification techniques for forensic applications. Funding: His projects are supported by EPSRC, EU FP7, Google, Reality Labs Research, and the UK Home Office. Notable grants include EPSRC EP/M026698/1: Environment-aware speech enhancement EPSRC EP/S035842/1: Binaural hearing aids with VR evaluation EU FP7/2007-2013: Robot audition using spherical microphone arrays Google: Speech dereverberation for VoIP UK Home Office: Audio forensics via room geometry inference Labs: Active member of the Speech and Audio Processing group led by Prof. Mike Brookes and Prof. Patrick A. Naylor.

Alysha HelmrichView profile

Assistant Professor

• Urban Resilience
• Infrastructure Systems
• Climate Adaptation
• +3 more

Alysha Helmrich, Ph.D., is an Assistant Professor at the University of Georgia, specializing in urban resilience and infrastructure systems. Her work focuses on understanding and enhancing the resilience of complex social-ecological-technological systems in urban environments. She conducts research at the intersection of climate adaptation, disaster risk management, and sustainable infrastructure design. Her research interests include analyzing interdependencies within infrastructure networks, assessing cross-boundary risks from environmental hazards, and developing frameworks for resilient infrastructure prioritization. She also explores innovative approaches like biomimicry in infrastructure design and leveraging social media data for improved urban monitoring. Recent publications highlight her work on infrastructure resilience frameworks, climate adaptation strategies, and the impacts of extreme weather events on urban systems. While no specific awards are listed, her contributions emphasize practical solutions for balancing efficiency and resilience in infrastructure development. No advising students or grants are explicitly mentioned in the provided information. Although no lab affiliations are noted, her research activities likely involve interdisciplinary collaborations addressing urban sustainability challenges.

Paolo MAZZAView profile

Professor

• Finance
• Econometrics
• Quantitative Methods
• +7 more

Paolo MAZZA is a Full Professor of Finance at IÉSEG School of Management in France, specializing in Management Sciences and Finance. He holds a HDR (Habilitation à Diriger des Recherches) from the University of Paris Dauphine and a Ph.D. in Finance from the Louvain School of Management. His research focuses on econometrics, quantitative methods, market liquidity, and corporate finance. He has advised on finance and audit-related matters and is a member of the LEM research group. His work spans topics such as insider trading performance, carbon market integration, cryptocurrency dynamics, and technical analysis strategies. Education: 2017: HDR in Management Sciences (Finance), University of Paris Dauphine 2013: Ph.D. in Finance, Louvain School of Management 2008: Master's in Management Sciences (Finance), UCLouvain Research Interests: Prof. Mazza’s research emphasizes quantitative finance, market microstructure, and regulatory frameworks. He explores how technical analysis impacts market quality, evaluates the performance of insider trading in emerging markets, and investigates carbon market dependencies. His work often combines econometric models with real-world market data to address practical financial questions. Key Contributions: His recent studies include analyzing corporate legal insider trading performance in Vietnam, Korea, and China, and assessing the integration of global carbon markets using GARCH-copula models. He has also contributed to understanding cryptocurrency volatility during market stress periods and refining fund rating methodologies using nonparametric frontier models. Awards: Best Dissertation Award (2008), Facultés Universitaires Catholiques de Mons Teaching & Professional Experience: Prof. Mazza teaches technical analysis, financial markets, and quantitative methods at the undergraduate and graduate levels. Prior to academia, he worked as a Performance Analyst at Dexia Asset Management and as a researcher at the Louvain School of Management.

Scott A. DellanaView profile

Professor

• Operations Management
• Supply Chain Management
• Quality Management
• +7 more

Scott A. Dellana is a Professor in the Department of Marketing and Supply Chain Management at the College of Business, East Carolina University. He has previously served as Interim Chair of his department and Chair of the Department of Decision Sciences, demonstrating strong leadership within the college. His research spans key areas in operations and supply chain management, with a strong emphasis on quality management, quality control in service and supply chain contexts, and mathematical modeling for forecasting and process analysis. His work bridges engineering and business disciplines, reflecting his dual background. The published research of Scott Dellana appears in top-tier journals such as International Journal of Operations & Production Management , Interfaces , Journal of Quality Technology , and Computers & Operations Research , indicating a sustained and impactful scholarly trajectory. His work often integrates quantitative methods with real-world operational challenges. Scott Dellana is a member of prestigious honor societies including Chi Epsilon, Tau Beta Pi, and Beta Gamma Sigma, reflecting excellence in both engineering and business. While no specific awards are listed, his publication record and leadership roles signify high professional recognition. He has advised academic initiatives and contributed to curriculum development through his administrative roles. Though specific grants are not mentioned, his research in applied operations suggests engagement with practical and industry-relevant problems. His prior experience in defense and manufacturing sectors likely informs collaborative and funded research directions. While no formal lab or research team is mentioned in the text, his focus on applied modeling and quality systems suggests potential involvement in interdisciplinary research centers or industry partnerships within the College of Business.

• Privacy-preserving machine learning
• Adversarial robustness
• Differential privacy
• +5 more

Saeed Mahloujifar is a researcher in the Department of Computer Science at Princeton University's School of Engineering and Applied Science. He has established himself as a prominent researcher in machine learning security, privacy, and robustness, with extensive collaborations with leading researchers including Prateek Mittal, Mohammad Mahmoody, and Somesh Jha. His research primarily focuses on security and privacy challenges in machine learning systems. Mahloujifar has made significant contributions to understanding and mitigating membership inference attacks, developing defenses against poisoning and backdoor attacks, advancing differential privacy techniques, and exploring the fundamental limits of robust machine learning. His work bridges theoretical foundations with practical applications, often developing novel algorithms and frameworks that have been widely adopted in the security and privacy communities. The analysis of his recent publications reveals a strong research trajectory centered on privacy-preserving machine learning, with particular emphasis on large language models, differential privacy guarantees, and security vulnerabilities. His work spans theoretical foundations of privacy through practical security mechanisms like watermarking and robustness benchmarking. A notable trend is his increasing focus on large language models and their security implications, alongside continued contributions to foundational privacy theory. Mahloujifar has co-authored over 90 publications since 2017, with a significant acceleration in output since 2020. His work appears consistently in top-tier venues including NeurIPS, ICML, IEEE S&P, and USENIX Security, demonstrating both breadth and depth in his research contributions.

Foutse KhomhView profile

Professor

• Software Engineering
• Software Maintenance and Evolution
• Trustworthy Artificial Intelligence
• +4 more

Foutse Khomh is a Professor of Software Engineering at Polytechnique Montréal where he leads the SWAT Lab on software development, deployment, maintenance and evolution of AI intensive and cloud based software systems. He holds prestigious positions as a Canada Research Chair Tier 1 on Trustworthy Intelligent Software Systems, a Canada CIFAR AI Chair on Trustworthy Machine Learning Software Systems at Mila - Quebec Artificial Intelligence Institute, and a FRQ-IVADO Research Chair on Software Quality Assurance for Machine Learning Applications. Dr. Khomh received his Ph.D. in Computer Science from the University of Montreal under the supervision of Yann-Gaël Guéhéneuc, with the Award of Excellence. He also holds a Master's degree in Software Engineering from the National Advanced School of Engineering (Cameroon) and a Master's degree (D.E.A) in Mathematics from the University of Yaounde I (Cameroon). Professor Khomh's research focuses on ensuring the reliability, fairness, and ethical alignment of machine learning-powered systems throughout their entire lifecycle. His work specifically addresses concepts of equity, fairness, diversity, identity, and social inclusion to enhance user confidence in AI applications. He is developing techniques and tools to ensure that AI applications comply with proposed regulations, particularly in sectors such as healthcare, transportation, security, and customer service. His groundbreaking research on software maintenance and evolution, particularly on the impact of developers' design decisions on software quality, has been cited more than 3,600 times according to Google Scholar. His extensive publication record shows a strong focus on trustworthy AI systems, with recent work concentrating on deep learning testing, quality assurance for machine learning systems, privacy protection in software logs, and the challenges of developing and maintaining reliable AI-powered applications. His research bridges software engineering principles with artificial intelligence to create more dependable and trustworthy systems. 2025 IEEE CS TCSE New Directions Award Arthur B. McDonald Fellowship Canada Research Chair Tier 1 on Trustworthy Intelligent Software Systems CS-Can/Info-Can Outstanding Young Computer Science Researcher Prize for 2019 Multiple IEEE TCSE Most Influential Paper (MIP) Awards Multiple Best Paper Awards at international conferences Canada CIFAR AI Chair Professor Khomh has supervised or co-supervised seven PhD students, eleven MSc students, and ten undergraduate students. Three of his PhD students were nominated for the Best PhD Thesis Award of Polytechnique Montréal, with one winning the prize for Best Computer Science and Software Engineering PhD Thesis. His research has drawn exceptional support, with over $2.5 million in research funding from diverse sources including NSERC Discovery, NSERC Discovery Supplement Award, FRQ-IVADO Research Chairs, and Mitacs. He leads the R3AI project, which received a $124.5M grant from the Canada First Research Excellence Fund to develop robust, reasoning, and responsible AI. As the leader of the SWAT Lab, Professor Khomh directs research on software development, deployment, maintenance and evolution of AI-intensive and cloud-based software systems. He serves on the program committees and editorial boards of several top international conferences and journals in software engineering, including the Editorial Board of IEEE Software. He has held leadership positions as General co-chair of FSE 2026 and SANER 2025, and has served as program co-chair for numerous conferences including SSBSE 2024, ICPC 2019, and ICSME 2018.

Monomita NandyView profile

Professor

• Corporate Finance
• Sustainability and Climate Change
• Blockchain and Cryptocurrency
• +6 more

Professor Monomita Nandy is a leading academic in Accounting and Finance at Brunel Business School , Brunel University of London. She holds two PhDs from the University of Calcutta and the University of Rome Tor Vergata, and has held leadership roles including Vice Dean International and Director of Postgraduate Programmes. Qualifications : PhD in Money and Finance (Rome Tor Vergata), PhD in Business Finance (Calcutta University) Research Interests : Interdisciplinary studies on digitalisation for sustainable development, corporate finance, blockchain applications, AI in banking, and climate change accounting Research Trends : Her recent publications focus on machine learning in financial risk prediction , blockchain-climate finance integration , gender-tax evasion dynamics , and socio-environmental innovation . These works bridge Artificial Intelligence , Environmental Economics , and Corporate Governance disciplines. Scientific Awards : 10th Venus International Women Award (2025) Brunel Best Teacher Awards (2019, 2021) Teach Brunel Innovation Award (2018) PhD Supervision : She has supervised 8 doctoral theses on topics ranging from director networks in CSR to AI-blockchain healthcare applications , with several students receiving Dean's Best PhD awards. Labs & Teams : Leads Lab 5 (Global Business Governance) at Brunel's Centre for Entrepreneurship and Sustainability, and contributes to the university's Centre for AI. She serves on editorial boards for International Journal of Finance & Economics and Business Strategy & Environment .

Navid SahebjamniaView profile

Senior Lecturer

• Sustainable and Resilient Operation Management
• Supply Chain and Logistics
• Multi-Objective and Stochastic Programming Methods
• +6 more

Dr Navid Sahebjamnia is a Senior Lecturer in Operations and Information Management at Brunel Business School, Brunel University London. He earned his PhD in Management Science and Operations Research from the College of Engineering at the University of Tehran and has held academic positions at Middlesex University London and Brunel University London. His work bridges operations research, sustainability, and digital transformation in supply chains. Research Interests: Dr Sahebjamnia specializes in sustainable and resilient operations management, with a focus on supply chain and logistics optimization. He develops advanced mathematical models, including multi-objective and stochastic programming, to enhance decision-making under uncertainty. His research supports industries such as transportation, agri-food, and manufacturing in achieving environmental sustainability and operational resilience. Publication Trends: His recent publications reflect a strong trend toward integrating operational research with digital technologies such as AI, big data analytics, and digital twins to address global challenges like pandemic response, green port operations, and humanitarian logistics. There is a consistent emphasis on resilience, sustainability, and quantitative modeling across diverse industrial contexts. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Dr Sahebjamnia supervises PhD students in areas including resilient supply chains and AI-driven risk mitigation. He is actively involved in securing research funding, notably as a key participant in the NARRATE project funded by the European Commission (2023–2026), which focuses on building regenerative resilient smart manufacturing networks using AI and IoT. He has extensive experience in forming European research consortia and submitting proposals to major funders like UKRI and ERC. Labs and Research Groups: He is affiliated with the OISM (Operations and Information Systems Management) Research Group at Brunel Business School and collaborates closely with Prof Afshin Mansouri and other researchers in innovation and sustainability. His work involves co-author networks and interdisciplinary teams focused on smart manufacturing and supply chain transformation.

• Public Administration
• Digital Governance
• Artificial Intelligence in Public Sector
• +3 more

Dr. Ceray Aldemir is an Associate Professor at the Faculty of Economics and Administrative Sciences, Mugla Sitki Kocman University, Turkey. Holding a PhD in Business and Management from the University of Manchester (2014), she specializes in digital governance, artificial intelligence applications in public administration, and circular economy policies. Education: BA in Political Science and Public Administration (Gazi University, 2006), MA in Public Administration (University of Manchester, 2010), PhD in Business and Management (University of Manchester, 2014) Research Interests focus on digital transformation in public sectors, including AI competencies for auditors, cybersecurity policy, and blockchain applications in financial systems. Her work on nudge theory examines behavioral economics in government decision-making during crises like the Covid-19 pandemic . She also explores multi-level governance and stakeholder engagement in sustainable development. Scientific Contributions include 15 recent publications analyzing intersections between technology and governance, such as digital accountability frameworks, AI policy challenges, and financial sustainability in local governments. Her work spans journal articles, book chapters, and international projects. Project Leadership includes roles in EU-funded initiatives like CirThink (circular economy integration) and RedCyberSG (cybersecurity capacity building). She has trained SMEs and higher education institutions across Europe on digital competencies.