جست‌وجوی استاد و پژوهشگر

Andriani Pikiمشاهده پروفایل

استادیار

• Educational Technology
• Human-Computer Interaction (HCI)
• Game-Based Learning (GBL)
• +۵ مورد دیگر

Dr. Andriani Piki is an Assistant Professor in Computing at the School of Sciences, University of Central Lancashire Cyprus (UCLan Cyprus), serving as Course Leader for the BSc (Hons) Computing program since 2024. She holds a PhD in Computer Science from Royal Holloway University of London (2012) with expertise in Educational Technology, Human-Computer Interaction, and Game-Based Learning. Her research focuses on integrating technology into education to enhance engagement, inclusivity, and sustainability awareness. Education: PhD (2012), MSc (2006), BSc (2005) from Royal Holloway and University of Cyprus Professional Memberships: ACM, Cyprus Computer Society, SDSN, IAmLearn Her research interests span AI in education, cybersecurity pedagogy, and SDGs implementation through digital tools. She leads the TIME2ACT@SD Erasmus+ project (€250k) and contributed to INCLUDEME (€443k). Notable awards include the 2024 Best Academic Paper Award for work on sustainability education gaps. Awards: 3 Best Paper Awards, PhD recognition, and full scholarship Grants: €693k secured across 2 major projects Dr. Piki mentors PhD students in game-oriented learning and deepfake education. She actively participates in academic leadership roles including Treasurer at ACM-Women Cyprus and chairs UCLan Cyprus's Teaching and Learning Enhancement Committee.

Lale Akarunمشاهده پروفایل

استاد

• Biometrics
• 3-D Face Recognition
• Hand Vein Recognition
• +۸ مورد دیگر

Lale Akarun is Professor of Computer Engineering at Boğaziçi University, Istanbul, where she also serves as Director of the TETAM research center. She leads the Media Laboratory (MEDIALAB) and the Perceptual Intelligence Laboratory (PILAB), focusing on biometrics, sign-language recognition, computer vision and image processing. Research Interests: Biometrics: 3-D Face & Hand-vein Recognition Gesture & Sign-Language Recognition for HCI Computer Vision, Image Processing & Graphics Her recent work (2023-2025) targets robust sign-language translation via self-supervised learning, multi-cue skeleton fusion, cross-dataset transfer and attention modeling, while also contributing new benchmarks for 3-D object reconstruction and occlusion-aware human-pose estimation. Laboratories & Teams: Media Laboratory (MEDIALAB) Perceptual Intelligence Laboratory (PILAB) She advises graduate researchers and has released influential datasets such as BosphorusSign22k, fostering advances in Turkish sign-language recognition and low-resource transfer learning.

• Consciousness
• Awareness
• Mindfulness
• +۵ مورد دیگر

Luca Simione serves as Associate Professor of General Psychology at the University of International Studies of Rome (UNINT) since 2023 and as Researcher at the Institute of Sciences and Technologies of Cognition (ISTC) of the CNR since 2019. He holds dual academic positions, reflecting his interdisciplinary expertise spanning cognitive psychology and neuroscience. His academic foundation includes a PhD in Cognitive Psychology from Sapienza University of Rome (2011), obtained with support from the Riken Institute in Japan, and a Specialization in Psychotherapy from the IPUE "Luigi de Marchi" Institute (2020). Dr. Simione's research program centers on consciousness, awareness, and mindfulness, with particular emphasis on theoretical models of these constructs. His work has evolved to incorporate applications in climate change and sustainability, representing an innovative intersection of psychological science with environmental concerns. He is recognized for his technical expertise in programming and statistics, having developed sophisticated neurocomputational models of consciousness based on neuropsychological data. His research methodology combines experimental approaches with computational modeling, reflecting his dual strengths in theoretical and applied psychology. His publication record demonstrates consistent scholarly output across multiple domains, with recent work focusing on the Monitor and Acceptance Theory of Mindfulness, attentional biases in sleep disorders, and applications of technology for psychological well-being. The breadth of his work spans from fundamental cognitive processes to real-world applications addressing contemporary challenges like the psychological impacts of the COVID-19 pandemic. Dr. Simione actively contributes to the academic community as Associate Editor for multiple prestigious journals including Mindfulness, Plos Mental Health, Cognitive Processing, Psychology and Behavioral Sciences, and Frontiers in Psychology. His editorial work spans consciousness research, methodological issues, and emerging psychological phenomena. Professionally, he maintains active memberships in the American Psychological Association (APA), Society for Humanistic Psychology (Division 32), Italian Association of Psychology (AIP), and Italian Association of Cognitive Science (AISC). He is also registered as a psychotherapist with the Order of Psychologists of Lazio, integrating clinical practice with his research expertise.

Stefan Schulteمشاهده پروفایل

دانشیار

• Data Engineering
• Elastic Computing
• Internet of Things (IoT)
• +۶ مورد دیگر

Stefan Schulte is an Associate Professor at TU Wien's Faculty of Informatics, holding a habilitation in Computer Science. His roles include Vice Dean of Academic Affairs for Business Informatics. He earned a diploma in economics, bachelor's in Computer Science from the University of Oldenburg, and master’s from the University of Newcastle. He completed his PhD at TU Darmstadt and habilitation at TU Wien. His research focuses on data engineering, elastic computing, IoT, QoS/QoE, fog computing, and blockchain for data provenance. He leads projects like SIMPLI-CITY and CREMA, coordinating EU-funded initiatives. Education: Diploma in Economics (Oldenburg), BSc Computer Science (Oldenburg), MSc Information Technology (Newcastle), PhD (TU Darmstadt, 2010), habilitation (TU Wien, 2018). Research Interests: Data stream processing in IoT and smart systems Elastic computing frameworks for cloud/fog environments Blockchain applications for verification and interoperability QoS optimization in distributed systems Smart mobility and manufacturing systems Publications: Over 100 refereed papers in top venues like IEEE Transactions on Services Computing and VLDB. Recent work emphasizes fog computing architectures and cross-blockchain solutions. Awards: Multiple best paper awards (ESOCC 2020, Blockchain-2020), teaching recognition, and prestigious awards for student theses (OCG Incentive Award, Vienna City Awards). Grants/Advising: Coordinated EU projects SIMPLI-CITY and CREMA, supervised over 30 theses. Active in PhD supervision for Cyber-Physical Production Systems. Labs/Teams: Director of TU Wien's Distributed Systems Group (DSG), leading Fog Computing and Blockchain research initiatives.

• Systems Engineering
• Internet of Things (IoT)
• Cyber-Physical Systems
• +۳ مورد دیگر

Amirali Amiri is a PostDoc Researcher at TU Wien's Department of Automation Systems, part of the Faculty of Informatics. His work focuses on systems engineering, IoT integration, and cyber-physical systems. He teaches courses like Fundamentals of Digital Systems and Computer Engineering Project . His research emphasizes supply chain optimization, IoT performance, and IT/OT convergence security. Notable contributions include model-based approaches for IIoT lifecycle management and self-adaptive systems. Recent studies explore MQTT broker deployment architectures, semantic annotation for runtime models, and graph-based safety analysis. His work bridges theoretical frameworks with empirical validation in industrial automation contexts. Amiri has contributed to conferences such as IEEE ICM, ICPS, and ETFA, addressing challenges in cloud-based routing, cybersecurity, and DevOps integration.

Jana Pejoskaمشاهده پروفایل

پژوهشگر

• New media
• Design research
• Digital Culture
• +۳ مورد دیگر

Jana Pejoska is a Researcher at the Cicero - brain, learning and technology group within the Faculty of Educational Sciences at Helsinki University. She holds a Doctoral degree in Arts and Design from Aalto University (2025), a Master's in Humanities from the University of Jyväskylä (2010), and a Bachelor's in Humanities from Ss. Cyril and Methodius University in Skopje (2006). Her work focuses on design research, digital culture, and mixed reality, with notable contributions to context-aware interaction design and cultural coding methodologies. Research Interests include New Media, Design Research, Digital Humanities, and Posthumanism. Recent projects explore affective computing in workplaces and emotion-driven digital innovation. Her award-winning work includes third place in the 2015 Wearable Enhanced Learning Design Challenge. Publications highlight themes like workplace heart rate visualization (2021) and collaborative affect monitoring (2019). She actively participates in conferences such as Interactive Technologies in Education and the Humex seminar, contributing to discussions on learning environments and technology.

Arjan Stuiverمشاهده پروفایل

پژوهشگر ارشد

• Intelligent Transport Systems
• Adaptive Support Systems
• User State Assessment
• +۵ مورد دیگر

Dr. Arjan Stuiver is a Research Fellow and Technical Scientific Advisor at the University of Groningen’s Faculty of Behavioural and Social Sciences, affiliated with the Clinical & Developmental Neuropsychology Department. His work focuses on human factors in transportation, particularly cyclist and driver safety through adaptive systems and simulator-based research. Education: PhD (2007-2011): Behavioral and Social Sciences, University of Groningen (thesis: psychophysiology for adaptive support) Research at TNO (2011-2015): Mobility domain innovations Research Interests: Intelligent Transport Systems, user state assessment via biometrics, mental workload analysis, and simulator validation. Current projects include the EU-funded XCycle initiative for cyclist safety technologies and driving simulator studies on perspective effects and behavior adaptation. Grants & Projects: Lead researcher in XCycle (EU Horizon 2020) Driving simulator infrastructure development for diverse studies (e.g., aging drivers, eco-driving) Labs/Teams: Manages the driving simulator facility supporting experimental psychology, clinical studies, and social behavior research.

• Neuroscience
• Cognitive Science
• Complex Systems
• +۵ مورد دیگر

Professor Mac Shine is a Joint-NHMRC EL2/Bellberry Fellow in the School of Medical Sciences at the University of Sydney, Australia. He is a member of the Brain and Mind Centre and holds roles such as Treasurer-Elect of the Organization for Human Brain Mapping – Oceania Chapter and Editorial Board member of NeuroImage . His research focuses on systems-level mechanisms of cognition and brain network dynamics using techniques like functional MRI and electrophysiology. Education: MBBS (University of Sydney, 2007), medical residency, and PhD on Parkinson’s disease brain networks. Postdoctoral work included a CJ Martin fellowship at Stanford University with Russell Poldrack. Research interests span cognition, neuroscience, complexity, brain imaging, and evolutionary biology. Current projects include studying network architecture of attention, dynamic reconfigurations in brain states, and evolutionary neuroscience linking bipedalism to brain evolution. Publications emphasize neuroimaging methodologies and network dynamics, with recent work on thalamocortical substrates for consciousness and multiscale neuronal organization. Awards include the NSW Tall Poppy and Early Career Scientist of the Year. Teaching includes lectures on functional neuroimaging, Parkinson’s disease, and dementia. He mentors junior researchers in Simon Lewis’s lab and advises a Medical Honours student.

Sabid Rahmanمشاهده پروفایل

مدرس

• Artificial Intelligence for Business
• Business Analytics
• AI Policy and Governance
• +۱ مورد دیگر

Sabid Rahman is a Lecturer teaching business analytics and AI applications at UC Davis. As a Principal Member of Technical Staff at a Fortune 50 company, he leads AI and machine learning initiatives for business automation and innovation. His research bridges computer science and business, focusing on AI monetization strategies, ethical AI governance, and generative AI applications. Rahman has 13+ years' experience developing production-scale AI systems, with publications in optical networking, quantum security, and network automation. He holds a PhD in Computer Science from UC Davis and an MS from University of Texas San Antonio. His industry-academia hybrid perspective informs teaching in AI policy, technology management, and business analytics.

Eliathamby Ambikairajahمشاهده پروفایل

استاد

• Signal Processing
• Speech Emotion Recognition
• Machine Learning
• +۳ مورد دیگر

Professor Eliathamby Ambikairajah is a Professor in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW). He previously served as the Acting Deputy Vice-Chancellor (Innovation & Enterprise) from 2020-2021 and as Head of the School of Electrical Engineering & Telecommunications from 2009-2019. He holds a BSc (Eng) from the University of Sri Lanka and a PhD in Signal Processing from Keele University, UK. His professional memberships include Fellow of the Institution of Engineering and Technology (FIET), Chartered Engineer (CEng), Fellow of Engineers Australia (FIEAust), Chartered Professional Engineer (CPEng), and Senior Member of IEEE (SMIEEE). His research focuses on signal processing, speech emotion recognition, machine learning, and audio processing. He has contributed to advancements in replay attack detection, continuous emotion prediction, and educational technologies. Notable projects include the development of the AusKidTalk corpus and the exploration of AI tools like ChatGPT in engineering education. His work also spans microgrid systems, embedded systems, and fault detection in power lines. Professor Ambikairajah has published extensively, with over 150 articles in peer-reviewed journals and conferences. His teaching emphasizes flipped classroom approaches and pedagogical frameworks for large engineering courses. He has led research teams in areas such as neural network architectures for speech enhancement and emotion ambiguity modeling. His contributions to both academic research and institutional leadership have been recognized through his professional fellowships and editorial roles in academic journals.

Metin Sezginمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Human-Computer Interaction
• +۳ مورد دیگر

Prof. Metin Sezgin is a Professor in the Department of Computer Engineering at Koç University, College of Engineering. He specializes in Artificial Intelligence, Computer Vision, and Human-Computer Interaction, with notable contributions to sketch recognition, multimodal interaction, and educational technologies. His recent work includes advancing AI-driven systems for comic analysis, human-robot engagement, and child-centered machine learning pipelines. Prof. Sezgin has been appointed as Türkiye's representative in the Global Partnership for AI (GPAI), emphasizing his leadership in AI policy and research. He leads projects like the eHRI database for human-robot interaction analysis and develops tools for classroom engagement monitoring. His research integrates computer vision with real-world applications, including tangible programming interfaces for children and affective computing systems. Grants: TÜBİTAK 1001 Grant (2023) Labs: Koç University Parallel and Multicore Computing Lab Key Areas: Sketch Recognition, Multimodal Datasets, Human-Robot Interaction, Educational Technology His publications span domains from AI ethics to technical advancements in vision systems, with a focus on bridging theoretical research and practical societal impact.

• web mining
• social mining
• recommender systems
• +۲ مورد دیگر

Dr. Le Duc Trong is an Assistant Professor (equivalent to Lecturer) at the University of Engineering and Technology (UET), Vietnam National University (VNU) in Hanoi, where he currently serves as Head of the Computer Science Department . He holds a PhD from Singapore Management University (2019) and a Bachelor's in Information Technology from VNU-UET (2011). He leads the Reliable Machine Learning research group , focusing on AI robustness and real-world applications. His research spans web/social mining, recommender systems, multimodal learning, and reliable ML , with emphasis on fairness-aware algorithms, emotion recognition, and healthcare AI. Recent work integrates graph networks, causal inference, and curriculum learning to address challenges like modality imbalance and catastrophic forgetting. Publication analysis (2019-2025) reveals three dominant themes: (1) Multimodal emotion recognition (5+ papers), advancing fusion techniques for conversational/clinical settings; (2) Reliable recommendation systems addressing fairness, causality, and user intent modeling; (3) Medical/healthcare AI including bronchoscopy datasets and mental disorder detection frameworks. His work consistently appears in premier venues (e.g., ACM MM, IJCAI, AAAI). Awards & Service: IJCAI Student Travel Award (2017) Program Committee: AAAI, IJCAI, PAKDD (2020-2022) Co-Session Chair: KSE 2023 Administrative Roles: Head, Computer Science Department (2022–present) Deputy Head, Computer Science Department (2022)

• Artificial Intelligence
• Machine Learning
• Speech Emotion Recognition
• +۷ مورد دیگر

Rajib Rana is a Professor of Computer Science at the University of Southern Queensland, affiliated with the School of Mathematics, Physics and Computing. He holds a PhD from the University of New South Wales (UNSW), completed in 2011. His research focuses on AI-driven solutions for mental health, speech emotion recognition, and healthcare informatics, with a strong emphasis on machine learning, deep learning, and domain adaptation techniques. His work spans clinical applications, wearable sensor systems, and mobile health technologies. Dr. Rana has supervised numerous doctoral candidates, including studies on AI tools for youth mental health interventions, adversarial attack robustness in speech emotion systems, and data analytics for school mental health monitoring. His research outputs include over 50 peer-reviewed articles, with notable contributions in IEEE Transactions on Affective Computing, Computers in Biology and Medicine, and other leading journals. His technical expertise includes federated learning, compressive sensing-based encryption for IoT, and context-aware affect sensing via smartphones. He collaborates widely with clinical partners and industry, addressing challenges like mental health triage prioritization and ICU admission prediction during pandemics. His work bridges computational methods with real-world healthcare and educational applications.

Kun Yangمشاهده پروفایل

استاد

• Internet of Things
• Wireless networks
• 6G Future internet technologies
• +۳ مورد دیگر

Kun Yang is Chair Professor at the University of Essex, UK, leading the Network Convergence Laboratory (NCL) and Communications and Networks Research Group since 2003. He has held academic roles at Essex since 2003, including Lecturer (2003-2008), Reader (2008-2011), and Chair Professor (2011-present). Fields: Internet of Things, wireless networks, data-energy integrated communication networks, and 6G technologies Labs: Founder of the Network Convergence Laboratory (2008) International Collaborations: Affiliated Professor at UESTC (China), active in EU FP7/H2020 projects His research focuses on energy self-sustainability in communication systems through energy efficiency and harvesting via resource allocation and joint optimization. Experimental work is conducted in his NCL laboratory. Recent publications span neuroscience-inspired AI, including neural sampling, cognitive maps, spiking neural networks, and secure machine learning architectures. These works intersect with Computer Science , Neuroscience , and Artificial Intelligence . 2025: Neural sampling for cognitive modeling 2024: High-dimensional prediction-learning 2023: Sparsity in forward-forward algorithms Professional Recognition: Fellow of IEEE, IET, BCS, HEA, and RSA IEEE ComSoc Distinguished Lecturer (2020-2021) Judicial role: GSMA GLOMO Awards Judge (2019-present) Research Leadership: Essex Principal Investigator in over 10 EU FP7/H2020 projects Founder of IEEE InterCloud Testbed Executive Committee

Franco Zambonelliمشاهده پروفایل

استاد

• Distributed Computing
• Pervasive Computing and IoT
• Multiagent Systems
• +۴ مورد دیگر

Franco Zambonelli is a Full Professor of Computer Science at the University of Modena and Reggio Emilia since 2010, with prior roles as Associate Professor (2001–2010) and Researcher (1997–2001). He holds a Laurea in Electronic Engineering (1992) and a PhD in Computer Science (1997), both from the University of Bologna. Research Interests: Focus on distributed and pervasive computing, self-organizing systems, autonomic computing, multiagent systems, and IoT applications in smart cities and healthcare. His work emphasizes agent-oriented software engineering, coordination models for distributed systems, and adaptive service ecosystems. Editorial Roles: Co-Editor-in-Chief of ACM Transactions on Autonomous and Adaptive Systems, and editorial board member of journals like Pervasive and Mobile Computing and Journal of Agent-Oriented Software Engineering. Awards: IEEE Fellow (2013), ACM Senior Member (2009), multiple best paper awards including IEEE SAINT (2001) and CBRM Cybernetics (2004). Grants & Projects: Coordinated EU FP7 Project SAPERE (2010–2013) and led FP6 Project CASCADAS (2006–2008). Currently involved in PRIN 2017 Fluidware (2019–2022) and H2020 CONNECARE (2016–2019). Labs: Agents and Pervasive Computing Lab (agentgroup.unimore.it).