Find Academic Supervisors

• Cognitive Robotics
• Human-Robot Interaction
• Developmental Robotics
• +14 more

Alessandro Di Nuovo is a Professor in the Department of Computing and Mathematics at Sheffield Hallam University, within the College of Business, Technology and Engineering. He is a leading researcher in cognitive and developmental robotics, with a focus on human-robot interaction, assistive technologies, and neuromorphic computing. His work bridges AI, robotics, and healthcare, particularly in applications for autism therapy and active ageing. His research spans cognitive robotics , neuromorphic computing , assistive robotics , and human-robot interaction , with a strong emphasis on embodied cognition, numerical cognition in robots, and privacy-aware systems. He has pioneered the use of spiking neural networks and event-based vision for real-time robotic perception and learning. His work often integrates cloud computing and multimodal interfaces to enhance robotic services for elderly care and children with developmental disorders. The recent publications highlight a consistent trend in personalized, interactive learning systems , where robots learn from human feedback using reinforcement learning, natural language, and sleep-inspired consolidation. There is also a growing focus on privacy and cybersecurity in social robotics, reflecting ethical considerations in assistive technologies. Applications are strongly oriented toward healthcare , including stroke rehabilitation, ASD screening, and in-home monitoring for older adults. He has been involved in numerous collaborative projects, often as a principal investigator or senior researcher, working with institutions across Europe. His contributions to major conferences and journals underscore his leadership in the field of cognitive and developmental systems. Di Nuovo has supervised and collaborated with a wide range of students and researchers, including Simone Varrasi, Roberto Vagnetti, Muhammad Aitsam, and Daniela Conti. His work has been supported by grants from EPSRC and other UK research councils, particularly in the domain of robotics for healthcare and social good. He is actively involved in research groups focusing on assistive robotics , cognitive systems , and cybersecurity in healthcare robotics , contributing to both theoretical models and real-world implementations of socially intelligent robots.

May HuView profile

Associate Professor

• Banking
• Corporate Finance
• Financial Inclusion
• +5 more

Dr May Hu is an Associate Professor of Finance at RMIT University's School of Economics, Finance and Marketing. She holds a PhD in Finance from Monash University (2015). Her research focuses on banking and corporate finance, including banking competition, ownership structures, corporate cash holdings, stock market liquidity, and policy uncertainty. She has also contributed to studies on digital transformation, AI in mobility, and sustainability in information systems. Dr Hu's work bridges financial theory and practical challenges, with notable contributions to understanding financial inclusion through meta-analysis and exploring AI's role in urban mobility ecosystems. She has secured competitive grants and won best paper awards at international conferences. Her recent studies address space cybersecurity, fintech ecosystems in Africa, and MaaS adoption through behavioral and digital platform analyses. Education: PhD in Finance (Monash University, 2015) Research Themes: Banking Efficiency, Policy Uncertainty, Digital Skills Frameworks, AI in Transportation Awards: Best Paper Awards (various conferences), Academic/Industry Grants Her research emphasizes interdisciplinary approaches, combining finance, technology, and policy. Recent articles highlight innovation in mobility ecosystems, fintech evolution in Africa, and digital adaptability for small businesses.

Antonio García CabotView profile

Associate Professor

• Artificial Intelligence
• Educational Technology
• Natural Language Processing
• +5 more

Antonio García Cabot is an Associate Professor in the Department of Computer Science at the University of Alcalá. His research focuses on artificial intelligence, educational technology, natural language processing, and mobile computing. He leads the INTELIA research group (Interaction Technologies and Artificial Intelligence Lab) and previously contributed to the PMI group (Intelligent Mobile Platforms). He earned his Doctorate in Computer Science from the University of Alcalá in 2013 with a thesis titled *Propuesta de un sistema multi-agente para la adaptación de contenidos docentes a las competencias, contexto y dispositivo del usuario*. His work emphasizes accessibility in digital education, gamification in MOOCs, and software engineering innovations like automated code repair using LLMs. Research trends in his 2024-2025 publications include: Advancing AI applications in educational assessment (e.g., automated question generation, distractor design) Improving mobile app usability through gesture-based interfaces and sensor integration Developing large language model-based tools for vulnerability repair and teacher simulation analysis Systematic reviews on digital competence ecosystems and multilingual AI systems His contributions to open educational resources (OER) and accessible virtual campuses have been widely adopted in Latin America. Current research extends into embedded systems education and olfactory stimuli impacts on mobile app performance.

Celine Castets-RenardView profile

Professor

• Digital Law
• Personal Data Law
• Cybersecurity
• +5 more

Céline Castets-Renard is a Professor at the University of Toulouse Capitole (UT-Capitole), affiliated with the European School of Law and the IRDEIC research institute. She holds a Junior Membership at the University Institute of France (IUF) and serves as Deputy Director of IRDEIC and Director of the Master's program in Law and Computer Science (Digital Lawyers). Her work focuses on digital law, cybersecurity, AI ethics, and EU regulatory frameworks. She has held visiting roles at Yale Law School (ISP Fellow) and Fordham Law School. Research projects include predictive policing risks (funded by the French Ministry of the Interior) and EU data protection norms. She frequently publishes on topics like algorithmic transparency, cross-border data flows, and digital market governance. Education and training details are not explicitly provided in the text. Administrative roles include leading research initiatives and academic programs. Advising students and supervising research projects are part of her responsibilities. Her expertise spans legal-jury roles and organizational leadership in conferences. Blogs and public commentary address emerging issues like AI's impact on professions and digital financial education.

Alina VaduvaView profile

Senior Lecturer

• Management
• Business Strategy
• AI in Public Sector
• +5 more

Affiliations Dr. Alina Vaduva is a Senior Lecturer in Business Strategy at the University of East London (UEL) within the Royal Docks School of Business and Law and the CIME Department of Strategy and Leadership. She holds a PhD in Management and has over 18 years of professional experience in banking, entrepreneurship, and education. She serves as an Expert Evaluator for the European Commission and collaborates with organizations like PwC Luxembourg and the Romanian Association of Technology Transfer and Innovation (ARoTT). Education PhD in Management MSc in HR Management Banking Diploma BA in International Business DPSI (Diploma in Public Service Interpreting) Level 6 Research Interests Her research focuses on AI governance in public and private sectors, gamification in education, EU-funded innovation projects, and entrepreneurship. She actively explores the ethical implications of AI, climate change mitigation through technology, and the societal impact of emerging technologies. Her work bridges academic research with practical policy recommendations, including submissions to UK parliamentary committees. Projects & Grants Coordinated a €2.5M ERDF project establishing a Regional Centre for Entrepreneurs. Managed budgetary planning for a €7M FP7 urban logistics project (DOROTHY). Conducted research on AI in local government, higher education, and climate policy. External Roles & Industry Partnerships She advises on innovation policy, collaborates with institutions like the University of Craiova (Romania), and contributes to initiatives such as the EU Innovation Network. Her external roles include evaluating EU projects and providing policy input to the UK Shadow Cabinet. Labs & Teams Associated with the Centre of Innovation, Management and Enterprise (CIME) at UEL, focusing on tech-driven business strategies and sustainable entrepreneurship.

Kaicheng YangView profile

Assistant Professor

• Computational Social Science
• Social Bots
• Misinformation Detection
• +4 more

Dr. Kaicheng Yang is an Assistant Professor in the School of Computing at Binghamton University, where he leads the Yang Lab. His research focuses on creating safe, fair, and trustworthy online information platforms by identifying how malicious actors and flawed systems distort information flow and developing effective countermeasures. His research interests include: Computational social science approaches to understanding online information ecosystems Social bots and automated accounts on social media platforms Misinformation detection and analysis Algorithmic biases in information systems Generative AI misuse and countermeasures Data science methods for social media analysis Dr. Yang's recent publications demonstrate a strong focus on AI-powered social manipulation, with particular emphasis on how generative AI is being used to create malicious social botnets, fake social media profiles with AI-generated faces, and to spread misinformation. His work combines computational methods, data science, and social science approaches to address critical challenges in online information ecosystems. His research has been featured in numerous media outlets including Forbes, Wired, MIT Technology Review, Business Insider, and IEEE Spectrum. He has developed several research tools including DomainDemo explorer for checking user demographics of domains and Botometer X for detecting bot-like Twitter accounts. Dr. Yang recently joined the editorial board of Information Processing & Management and will be hosting a tutorial on 'Introduction to the National Internet Observatory' at ICA 2025 in Denver, CO.

• Software Engineering
• Gender Equality
• Inclusive Technology
• +6 more

Letizia Jaccheri is a Professor at the Department of Computer Science , part of the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). Her work focuses on Software Engineering for Society with a strong emphasis on inclusion, gender equality, and social impact through technology. She leads the research group Software for a Better Society and serves as Action Chair for the COST Action EUGAIN CA19122. Her research spans multiple domains including: Inclusive software solutions for people with intellectual disabilities Gender stereotype detection in digital storytelling Blockchain sustainability applications Exergaming frameworks for outdoor activities Recent publications highlight trends in: AI's role in gender equality Digital tools for cybersecurity education Startup innovation in public organizations Child-centered software design methodologies Key scientific recognitions include: ACM Distinguished Speaker (2018–) Dame of the Order of Merit of the Italian Republic Active in: Project leadership (Horizon, Erasmus+, NFR initiatives) Academic conference organization (ICSE, womENcourage) STEM gender diversity advocacy (founding Trondheim ACM Women in Computing Chapter) She maintains an active blog and participates in public outreach through podcasts and industry collaborations.

Michael GaldeView profile

Assistant Professor

• Cybersecurity
• Malware Analysis
• Industrial Control Systems (ICS) Security
• +10 more

Michael Galde is an Assistant Professor at the University of Arizona's College of Engineering, Department of Electrical and Computer Engineering, where he specializes in cybersecurity education and research. He holds a Master's in Cybersecurity and a Bachelor's in Political Science from the University of Nebraska and brings over a decade of experience from defense intelligence, industrial cybersecurity, and academic instruction. MS in Cybersecurity, University of Nebraska BA in Political Science, University of Nebraska His research and teaching focus on malware analysis , Industrial Control Systems (ICS) security , reverse engineering , and hands-on cyber operations training . He develops advanced courses and practical tools to strengthen cybersecurity resilience in critical infrastructure. His work bridges technical depth with educational accessibility, empowering the next generation of cyber professionals. His recent technical projects reflect a strong trend in applied cybersecurity research , especially in OT/ICS monitoring , network visualization , and the integration of AI and NLP into security operations . Projects like GRID-LM, IAES-SOC, and PCAPMap demonstrate innovation in real-time threat detection, large-scale data analysis, and user-friendly tooling for cyber defense. Notable scientific credentials include: Global Industrial Cyber Security Professional (GICSP) GIAC Response and Industrial Defense (GRID) Michael Galde actively contributes to cybersecurity through teaching (80% responsibility), university service (20%), research (2024–present), and external consulting (15%). He mentors students through project-based learning and leads initiatives in developing robust educational and technical frameworks. His research team works on projects including SPINE, DaRIA, and IAES-SOC, focusing on scalable NLP ecosystems and intelligent network monitoring. He leads multiple research and development efforts, including the IAES-SOC for OT network monitoring, PCAPMap for traffic visualization, and SPINE for NLP infrastructure. These projects are supported by hands-on development and integration with tools like Wazuh, ELK stack, Scapy, and Bokeh.

Saima NomaanView profile

Academic

• English for Academic Purposes (EAP)
• TESOL
• Applied Linguistics
• +11 more

Saima Nomaan is a Teaching Fellow in English for Academic Purposes (EAP) at the University of Birmingham's Dubai Campus, where she delivers specialized instruction in academic writing, critical reading, research methodologies, and professional communication across disciplines such as Business, Engineering, and Health Sciences. She holds advanced degrees in TESOL and English Literature and is currently pursuing her Ed.D. at the University of Exeter. Her international teaching career spans over 16 years across Pakistan, the UK, and the UAE, with prior affiliations at Higher Colleges of Technology and Canadian University Dubai. Ed.D. in TESOL (Ongoing), University of Exeter, UK MA in TESOL Studies, Aston University, UK (2013) MA in English Literature & Language, Fatima Jinnah Women University, Pakistan (2004) PGD in Applied Linguistics (TEFL), Allama Iqbal Open University, Pakistan (2010) BA (Hons), University of The Punjab, Pakistan (1994) Saima’s research and teaching focus on English for Academic Purposes, teacher professional development, and the integration of educational technology to enhance active learning. She is particularly interested in how digital tools and AI can support inclusive education and address global disparities in language learning. Her work critically examines the sociopolitical dimensions of English language teaching, including issues of power, race, gender, and linguistic imperialism. Her recent publications explore the transformative potential of technology in education, from bridging digital divides to evaluating ELT materials in Pakistan and analyzing faculty perspectives on generative AI. These works reflect a strong commitment to sustainable development, equity, and innovation in multilingual academic environments. Fellow of the Higher Education Academy (FHEA), UK (2020) HarvardX Higher Education Teaching Certificate (2020) Microsoft Faculty Fellow Advanced TEFL Certificate, UK (2013) Saima has contributed to curriculum development and academic leadership across institutions in the Middle East. She mentors students in IELTS and EmSat preparation and leads workshops on presentation and life skills. Her professional service includes volunteering in health and nutrition programs and supporting migrant communities through language education. She is certified in emotional intelligence, cybersecurity, equality and diversity, and safeguarding, underscoring her holistic approach to education. Saima actively participates in global academic conferences and contributes to research on educational policy and pedagogy. She utilizes platforms like Blackboard and Nearpod and is recognized for her innovative integration of technology in EAP instruction. Her current doctoral research continues to advance discourse on teacher development and educational equity in international contexts.

Anne CollardView profile

Researcher

• Digital Media Literacy
• Academic Literacies
• Educational Technology
• +7 more

Anne Collard is a Researcher at the Institute for Research in Didactics and Education within the Faculty of Education and Training Sciences at the University of Namur (UNamur) . Her work focuses on digital media literacy, academic literacies, and critical education in artificial intelligence and robotics. Education : Degree and aggregation in Romance Philology (FUNDP and UCL), Special Bachelor of Theology (UCL), Diploma in Bookselling (UCL), Coaching Certification (BAO) Collard’s research explores the integration of digital tools in education, including formative assessment systems using ICT, media literacy for global citizenship, and critical approaches to recommendation algorithms. She is involved in projects like PUNCH 3.0 and LITME@WORK , emphasizing collaborative and distance work competencies. Her recent publications address topics such as AI education through role-playing games, conceptual metaphors in robotics, and the ethical implications of algorithmic datafication in media infrastructures. She actively contributes to interdisciplinary workshops and conferences on digital literacy.

• Artificial Intelligence
• Teaching
• Machine Learning
• +3 more

Alyson Hernalesteen is a researcher at the University of Namur , affiliated with the Namur Digital Institute and Centre de Recherche Information, Droit et Societe . Her work focuses on Artificial Intelligence and Machine Learning within educational contexts, particularly for K-12 audiences . Research topics: AI education, critical reflections on technology, digital society Key projects: Role-playing games for cybersecurity & AI education, interdisciplinary approaches to AI literacy Her publications highlight trends in game-based learning and critical pedagogy for children, emphasizing ethical engagement with intelligent technologies. Collaborations with colleagues like Collard and Henry reveal a focus on practical implementations and policy discussions. She actively participates in international conferences such as the CRIFPE Colloquium and Media Education Summitt , contributing to debates on digital education reform and technology equity.

Chrystalla MouzaView profile

Professor

• Computational Thinking
• Educational Technology
• Teacher Education
• +5 more

Chrystalla Mouza serves as Dean of the College of Education and Professor in the Department of Curriculum and Instruction at the University of Illinois, Urbana-Champaign, holding the Edward William and Jane Marr Gutgsell Professorship. Her leadership extends across educational technology, teacher preparation, and computational thinking initiatives that bridge research and practice in K-16 settings. Mouza's research focuses on computational thinking development, equitable computer science education, and technology integration in teacher preparation. She has established herself as a leading voice in educational technology through numerous publications, grant-funded projects, and leadership roles in national initiatives. Her work particularly emphasizes broadening participation in computing and developing effective professional development models for educators. Analysis of her recent publications reveals a strong focus on computational thinking across disciplines, with particular attention to music-computing integration, physical computing environments, and culturally responsive approaches to computer science education. Her research consistently addresses equity issues in computing education while exploring innovative pedagogical approaches that engage diverse learners. National Technology Leadership Summit organizer and contributor Editor of Contemporary Issues in Technology and Teacher Education Principal investigator on NSF-funded computing education projects Mouza actively mentors future educators and researchers while leading one of the nation's premier Colleges of Education. Her work connects university-based research with practical applications in K-12 classrooms through numerous school-university partnerships that support teacher development and student learning.

• LLM-assisted agent systems
• Explainable AI
• Multimodal artificial intelligence
• +12 more

Dr. Yifei Dong is a Research Fellow at the Data Science Institute , University of Technology Sydney, with expertise in LLM-assisted agent systems , explainable AI , and multimodal artificial intelligence . Holding a PhD in Computer Science from UNSW Sydney and over a decade of fintech industry experience including CTO roles, he has secured $2.4 million in competitive funding for AI solutions bridging academia and real-world applications in healthcare, education, and finance. Education : PhD in Computer Science from UNSW Sydney Current Role : Research Fellow at UTS Data Science Institute (2023–present) Past Academic Appointments : Lecturer at Southern Cross University and Western Sydney University Dr. Dong’s research focuses on making AI systems transparent and socially beneficial , with contributions to adversarial AI, trustworthy digital societies, and wireless sensor networks. His recent work includes: Developing AICAttack (2025) for adversarial image captioning attacks Creating the QMAD fairness metric (2025) for dynamic environments Advancing explainable ECG diagnosis systems (2025) via multimodal LLMs As a scientific awardee (2025 RegTech Social Impact of the Year), he has pioneered AI solutions for vulnerable populations, such as NDSI participants through the "My Complaint Assistant" tool. His supervision of PhD and Honours students emphasizes technical rigor and ethical responsibility.

Olivier VerscheureView profile

Adjunct Professor

• Stream and Big Data Mining
• Geospatial Analysis
• Large-scale Data Management
• +4 more

Olivier Verscheure serves as the Executive Director of the Swiss Data Science Center (SDSC), a national R&D center organizationally hosted by both École Polytechnique Fédérale de Lausanne (EPFL) and ETH Zurich. He also holds multiple Adjunct Professor appointments at EPFL, specifically within the School of Computer and Communication Sciences (SIN and SSC) and the School of Engineering (SEL). His educational background includes: Ph.D. in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL), June 1999 Verscheure's research focuses on the intersection of data science and real-world applications. His work centers on stream and big data mining, geospatial analysis, and large-scale data management. These technical capabilities are applied across diverse domains including personalized health and medicine, Intelligent Transportation Systems, telecommunications, smart building technologies, Smart Grid infrastructure, healthcare analytics, and waste water management systems. His approach emphasizes creating practical data science solutions that address complex challenges in these sectors while considering the constraints of real-world deployment. An analysis of his recent publication record reveals a strong focus on real-time data processing and analytics, particularly for transportation and urban systems. His work frequently addresses challenges in handling massive time series data, developing efficient architectures for low-latency analytics, and creating practical applications for smart city infrastructure. There's a clear progression from theoretical data science contributions to production-ready systems that can process billions of data points daily, demonstrating his ability to bridge research and practical implementation. His notable achievements include: Two IBM Outstanding Technical Achievement Awards Best Paper Award for his research Student Best Paper Award Verscheure has substantial experience in research leadership and mentoring. During his tenure at IBM, he managed the Exploratory Stream Analytics research group and led a technical and management team of approximately 40 people at the IBM Research lab in Ireland. He has served on PhD committees at major universities and published nearly 100 research papers that have garnered over 2,400 citations. His work has resulted in more than 40 US and international patents, demonstrating both academic and practical impact. As Executive Director of the Swiss Data Science Center, Verscheure oversees a distributed multi-disciplinary team working across domains including personalized health, transportation, earth and environmental science, social science and digital humanities, and economics. The center aims to federate data providers, data and computer scientists, and subject-matter experts around a cutting-edge analytics platform while addressing security and privacy issues. Under his leadership, the SDSC develops embedded data science support, offers end-to-end data science services, and fosters a community to share tools and knowledge in data science.

• Computer Science
• Software Engineering
• Service-Oriented Architecture
• +7 more

Stefano Cirillo is a Researcher at the University of Salerno , affiliated with the Department of Computer Science . His work spans software engineering, cybersecurity, and service-oriented systems. Email: scirillo@unisa.it Office Location: Fisciano Campus, Building F2, Room 041 (L8 Laboratory) Reception Hours: Tuesday & Thursday, 2:30 PM - 4:00 PM Research Interests include model-driven engineering , agile software development , and cloud-native architectures . He explores service-oriented platforms for educational tools and quality assessment in distributed environments. Key publication trends highlight cybersecurity integration , software modularity , and automated testing for microservices. Projects emphasize collaborative development and ontology-based resource management .