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 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 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.
Ang Li is an Assistant Professor in the Computer and Information Science Department at the University of Michigan-Dearborn's College of Engineering and Computer Science. His research focuses on cybersecurity, privacy in networked systems, and AI/ML-powered wireless technologies, including RFID, IoT, and 5G/6G networks. Ph.D., Arizona State University M.S., Beihang University B.E., Guangxi University His research integrates cybersecurity with wireless/mobile systems, emphasizing secure authentication, IoT protocols, and machine learning applications. Recent work explores RFID security, drone-aided key generation, and magnetic wearable authentication. Notable scientific awards include the USENIX Security Student Travel Grant (2023), University Grad Fellowship Summer (2023), Electrical Engineering Department Scholarship (2022), and IEEE CNS Student Travel Grant (2018). Ang actively seeks motivated Ph.D. students with interests in security, AI/ML, IoT, and mobile sensing. Contact: anglial@umich.edu
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.
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 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.
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 .
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.
Nadia Steils is a Lecturer in the Business Administration Department at the Faculty of Economics, Management and Social Sciences, University of Namur (Belgium), with concurrent research affiliation at IAE Lille, University of Lille (France). Her academic home spans CeRCLe, LEM, and CCMS research centers, focusing on the intersection of consumer behavior and digital technologies. Education: PhD in Management Sciences - Marketing (University of Namur & IAE Lille, 2016) Master in Audit, Control, Research and Modeling in Marketing (IAE Lille, 2012) Bachelor in Applied Communications (IHECS Brussels, 2010) Her research centers on consumer e-learning processes , examining how digital interfaces shape knowledge acquisition and purchasing decisions. Specializing in consumer behavior in technology-mediated environments , she investigates the psychological mechanisms behind online learning adoption, gamification effects, and AI-driven service interactions. Recent work critically analyzes transparency paradoxes in influencer marketing and ethical dimensions of explainable AI systems, contributing directly to UN Sustainable Development Goals through consumer education frameworks. Analysis of her 16 research outputs (2013-2025) reveals evolving expertise from foundational e-learning studies toward contemporary AI/consumer behavior intersections. Current publications emphasize human-centric technology design , with strong focus on trust calibration in AI services and ethical implications of algorithmic manipulation. Research Leadership: Principal Investigator for Nestlé-funded social food trends project (2017-2018) Lead researcher on Creative Crowdsourcing knowledge-transfer initiative Key contributor to EU cultural experience knowledge-project Her 24 supervised student projects demonstrate active mentorship in consumer research methodology. Elected to departmental councils at both University of Namur and University of Lille, she shapes academic governance while maintaining rigorous teaching commitments across market research, marketing management, and database systems coursework.
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.
Emilien Arnaud is a Lecturer-Researcher at Amiens-Picardie University , specializing in the intersection of Artificial Intelligence and Health Informatics . His clinical role as a Hospital Practitioner in Emergency Medicine informs his research focus on care pathway prediction and missing data completion in healthcare . Primary institution: Amiens-Picardie University Research domains: AI in emergency medicine, predictive modeling, NLP applications His recent work explores explainable AI models for patient pathway prediction, large language model ethics in medical contexts, and NLP-driven admission predictions using triage notes. A systematic review of emergency AI missing data strategies (2023) highlights his methodological rigor. Key article trends include: Emergency department workflow optimization Explainable AI for clinical transparency Missing data handling in health datasets NLP applications for triage automation Human-AI collaboration frameworks Ethical AI implementation in critical care While no formal awards are documented in the provided materials, his collaborations span AI development, healthcare operations, and pandemic response systems.
Dr. Jie Meng is a Senior Lecturer in Digital Marketing and Analytics at the Institute for Digital Technologies , Loughborough University London. She serves as Chief Programme Director for the MSc Digital Marketing program and oversees curriculum development in strategic marketing management and digital analytics. Her research bridges techno-psychological and neuroscience approaches to study AI-user interaction , eye-tracking in consumer behavior , and multi-agent simulation for social media dynamics. A recurring theme is digital wellbeing and mitigating AI hallucination risks through empirical experiments and machine learning analysis. Recent publications focus on large language models , neurodiverse learning frameworks , and para-social relationships in immersive fitness technologies. She holds funding for projects like "Leverages and Concerns of Gen-AI's Application in Advertising" and "Automated Verification of Smart Factories" . Scientific Awards : Senior Fellow of the Higher Education Academy (SFHEA) Supervision : Mentors 10 PhD students exploring topics from virtual influencers to NFTs in commerce
Dr.-Ing. Urbain Nzotcha is a Postdoc at the Jülich Research Centre , affiliated with the Institute of Energy Technologies (IET) and the Fundamentals of Electrochemistry (IET-1) department. His research focuses on Power-to-X , Techno-economic analyses , and CO2 electroreduction value chains , with an emphasis on sustainable energy systems and industrial carbon management. Dr. Nzotcha’s work explores the intersection of renewable energy systems , CO2 electroreduction , and techno-economic optimization , particularly in Sub-Saharan Africa and European contexts. His recent publications address challenges in Power-to-X scalability , pumped hydropower storage , and adaptive control for photovoltaic systems , reflecting interdisciplinary expertise in energy engineering and environmental economics. His research trends highlight the integration of electrochemical processes with industrial CO2 utilization , hybrid renewable systems , and sustainable development in African regions . Technological innovations and cross-sectoral analyses are central to his contributions.
Michaela Bednarova is a Full Professor in the Department of Financial Economics and Accounting at Pablo de Olavide University, Spain. Her academic career focuses on the intersection of financial reporting, corporate communication, and digital technologies, with particular expertise in sustainability reporting and social media communication practices of corporations. Dr. Bednarova earned her doctorate from the University of Huelva with a thesis titled Corporate social responsibility reporting practices of Eurozone companies (2014), supervised by Dr. Enrique Bonsón Ponte. Her educational background provides a strong foundation in economics and business administration, which she applies to contemporary issues in corporate reporting and digital communication. Professor Bednarova's research spans several interconnected areas within business and economics. She specializes in integrated and sustainability reporting practices, particularly examining how companies communicate non-financial information to stakeholders. Her work on social media platforms (YouTube, LinkedIn, Twitter) analyzes corporate communication strategies and stakeholder engagement in the digital age. More recently, her research has expanded to include emerging technologies like blockchain and artificial intelligence, focusing on their implications for corporate reporting, governance, and transparency. Her interdisciplinary approach bridges traditional accounting and finance with digital communication and emerging technologies. Analysis of Professor Bednarova's recent publications reveals a clear evolution in her research focus. While her early work centered on traditional corporate social responsibility (CSR) reporting practices, her research has progressively incorporated digital communication channels and emerging technologies. Her publications from 2020-2025 show increasing attention to artificial intelligence, blockchain, and ESG (Environmental, Social, and Governance) reporting. The interdisciplinary nature of her work connects accounting, finance, communication studies, and information systems, reflecting the growing integration of technology in corporate reporting practices. Her research consistently examines Western European companies, particularly those in the Eurozone, providing valuable insights into regional reporting practices and their evolution. Professor Bednarova supervises doctoral students in the Information Systems and Supply Chain Management program. Her academic guidance focuses on the intersection of technology, communication, and business reporting. While specific grant information isn't detailed in the provided materials, her extensive publication record suggests successful research funding to support her investigations into corporate reporting practices across multiple digital platforms and technologies.
