جست‌وجوی استاد و پژوهشگر

Bergljot Gjelsvikمشاهده پروفایل

پژوهشگر ارشد

• Suicidal behavior
• Depression
• Causal models
• +۳ مورد دیگر

Bergljot Gjelsvik is a Postdoctoral Fellow at the University of Oslo within the Faculty of Psychology and Department of Clinical Psychology . She specializes in suicidal behavior , depression , and Mindfulness-Based Cognitive Therapy for recurrent mental health issues. Her work focuses on understanding causal models in suicidology , developmental psychopathology , and multimethod research designs . Double-expertise fellow since 2005 Mindfulness specialization at Oxford University Leader of the Mindlock project on suicidal vulnerability Her research spans adolescent suicidality , depression-pain interactions , and network analysis of mental health factors . She has contributed to 13 publications since 2007, including systematic reviews and clinical efficacy studies. Her work emphasizes translating causal knowledge into preventive interventions and exploring multimethod designs in clinical psychology. Key collaborations include institutions in Oslo, Bergen, and Trondheim through the Double Competence Project , which integrates PhD research and specialist clinical training . She works at the intersection of psychiatric research , health policy , and mental health economics .

• Human Factors in Aeronautics
• Cognitive Psychology
• Aviation Safety
• +۶ مورد دیگر

Nadine Matton is a Teacher-Researcher at the National School of Civil Aviation (ENAC) since 2011, where she conducts research on human factors in aviation. She is a member of the 'Cognition in Complex Situations' research team within the Cognition, Languages, Ergonomics (CLLE) unit. Dr. Matton completed her thesis in cognitive psychology and psychometrics at ENAC (2006-2009), followed by a post-doctorate at the same institution (2009-2011). Prior to her academic career in aviation, she earned her engineering degree from the National School of Engineers in Agri-Food Industry Techniques in Nantes with a specialization in applied statistics (1994-1997), while also completing undergraduate and master's level courses in Psychology (1998-2005) alongside her professional work as a consumer research officer (1997-2005). Dr. Matton's research focuses on human factors in aeronautics, particularly examining the performance and limits of cognitive functioning in aviation contexts. Her work investigates individual differences in cognitive abilities , complex learning processes , and the management of cognitive resources in complex situations , with special attention to mental load assessment. These research areas have direct applications in the selection and training of pilots and air traffic controllers , addressing critical safety concerns in aviation operations. Analysis of Dr. Matton's recent publications reveals a strong focus on cognitive neuroscience approaches to understanding aviation performance. Her work increasingly incorporates neurophysiological measures such as EEG, pupillometry, and fNIRS to objectively assess cognitive workload and mental states during flight tasks. There's a clear trajectory toward developing practical applications for pilot and air traffic controller selection and training, with recent meta-analyses synthesizing evidence on effective selection criteria. Her research bridges fundamental cognitive psychology with real-world aviation safety challenges. Dr. Matton has co-supervised five PhD students to completion: Samy Chikhi (2022, co-supervised with Sophie Blanchet, Université Paris Descartes) Damien Mouratille (2022, co-supervised with Franck Amadieu, Université Toulouse Jean Jaurès) Olivier Lefrançois (2020, co-supervised with Mickaël Causse, ISAE) Benoît Valéry (2017, co-supervised with Frédéric Dehais, ISAE) Sébastien Puma (2016, co-supervised with André Tricot, Université Toulouse Jean Jaurès) As a member of the 'Cognition in Complex Situations' team within CLLE, Dr. Matton collaborates with researchers across multiple institutions including ENAC, ISAE-SUPAERO, ONERA, and various universities. Her work often involves flight simulator studies and real-world aviation contexts, maintaining strong connections between academic research and practical aviation applications.

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +۶ مورد دیگر

Giuseppe Sansonetti is an Associate Professor at the Department of Civil, Computer and Aeronautical Engineering, University of Rome III. His research focuses on Artificial Intelligence, Machine Learning, and their applications in cultural heritage, social robotics, and recommender systems. He teaches courses such as Elements of Computer Science and Artificial Intelligence and Machine Learning across multiple engineering programs. His research explores: Multimodal AI for museum visitor analysis Deep learning applications in infrastructure monitoring Context-aware recommendation systems Emotion recognition via physiological sensing Recent publications (2023-2025) demonstrate interdisciplinary work spanning computer science, civil engineering, and cultural technology. Key trends include integrating AI with social and cultural contexts, improving recommendation systems, and developing adaptive learning environments.

Tin Horvatinovićمشاهده پروفایل

استادیار

• Entrepreneurship
• Senior Entrepreneurship
• Team Dynamics in Entrepreneurship
• +۴ مورد دیگر

Tin Horvatinović, Ph.D. is an Assistant Professor in the Department of Entrepreneurship at the Faculty of Economics and Business, University of Zagreb. His academic profile demonstrates a strong focus on entrepreneurship research with particular emphasis on senior entrepreneurship, team dynamics, and causal/effectual approaches to entrepreneurial decision-making. He maintains regular office hours (Monday 12-2pm and Wednesday 10-12am) and can be reached at thorvatinovic@net.efzg.hr. Horvatinović's research interests span multiple dimensions of entrepreneurship including senior entrepreneurship, team dynamics in entrepreneurial contexts, causal and effectual reasoning approaches, technology entrepreneurship, and social entrepreneurship. His work demonstrates a particular interest in how age factors influence entrepreneurial behavior and how teams develop collective passion and knowledge systems that drive venture performance. Analysis of his recent publications (2022-2025) reveals a strong scholarly output focused on theoretical and empirical examinations of entrepreneurial phenomena. His work frequently explores the intersection of entrepreneurship with aging populations, team dynamics, strategic decision-making frameworks, and regional economic contexts - particularly in Eastern Europe. The publications show a methodological diversity ranging from bibliometric analyses to conceptual examinations and empirical studies using various quantitative and qualitative approaches. While no specific scientific awards are mentioned in the available information, his publication record in entrepreneurship research demonstrates scholarly contribution to the field. His work appears in conference proceedings and academic journals focusing on business economics and entrepreneurship. Horvatinović's research portfolio suggests active engagement in both theoretical development and empirical investigation of entrepreneurial phenomena, with particular attention to context-specific factors such as age, team composition, and regional economic conditions that shape entrepreneurial processes and outcomes.

• Aeronautical Systems
• Aerospace Structures
• Airworthiness
• +۷ مورد دیگر

Dr. Dimitrios Panagiotakopoulos is a Senior Lecturer in Unmanned Aircraft Systems Traffic Management (UTM) at Cranfield University 's School of Aerospace, Transport and Manufacturing. With over 15 years of expertise in Aeronautical Systems Autonomous Systems Aviation Management Vehicle Engineering , his work focuses on advancing digital air traffic management through cutting-edge research. His research group explores: Machine Learning for Air Traffic Management Digital Twin Development for Airspace Simulation Urban Air Mobility (UAM) Systems 5G Connectivity for UAVs Secure Autonomous Operations Recent publications highlight his contributions to UAV traffic-density prediction, explainable AI for flight safety, and digital twin implementations for non-segregated airspace testing. Collaborations with industry leaders like Boeing, Airbus, and Thales demonstrate practical applications of his work. He actively supervises self-funded PhD candidates and contributes to national infrastructure projects including the National Beyond Visual Line of Sight (BVLOS) Experimental Corridor . Current technical initiatives involve holographic radar integration, GNSS performance analysis, and airspace optimization strategies.

• Network Security
• Blockchain Technology
• 5G Networks
• +۳ مورد دیگر

Katina Kralevska is an Associate Professor at the Department of Information Security and Communication Technology, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), since January 2018. She previously served as Deputy Head of Department from 2019 to 2020 and was a visitor at the ISN research group at Imperial College London in 2017. Her research focuses on network security , blockchain technology , 5G network slicing , and intent-based networking . Her recent publications address knowledge-driven intent lifecycle management , blockchain for healthcare trust relations , and network slicing optimization in 5G and beyond. She supervises multiple PhD and Master’s students in topics spanning network security , blockchain applications , and 5G technologies . Her work is supported by grants from FIDAL Field Trials Beyond 5G (2025) NTNU Discovery (2022) H2020 EIC SME Instrument (2018-2020) She co-founded MemoScale AS, a company providing data protection and compression solutions, and actively contributes to academic leadership through roles in IEEE conferences and the WeLead program for women in computer science.

• Business networks and entrepreneurship
• Business models of ecological and societal transition
• CO2 emissions and economic growth
• +۷ مورد دیگر

Dr. Alexandre Cabagnols is a Lecturer at the Department of Economics and Management within Polytech Clermont-Ferrand (University of Clermont Auvergne). His research focuses on business networks , ecological transition models , and CO2 emissions analysis , with particular attention to entrepreneurship's role in sustainable development. Current affiliations include: University of Clermont Auvergne (UCA) Clermont Recherche Management (CleRMa) Institut national polytechnique Clermont Auvergne Polytech Clermont-Ferrand His research explores: Entrepreneurship-environment interactions Innovation persistence mechanisms Energy independence strategies Academic-business collaboration networks International inventor mobility patterns Recent work examines the entrepreneurship-CO2-growth nexus in Finland/Italy, high-tech business network geographies in MENA countries, and returnee entrepreneurs' role in China's biotech sector. Publications span journals like The Journal of Energy and Development and Springer books, with methodological contributions on network analysis and patent productivity modeling. Key trends in his 15 most recent publications (2001-2023) show: Environmental economics (7/15) Network theory (6/15) Entrepreneurship education (5/15) International technology transfer (4/15) Patent productivity analysis (3/15) Comparative innovation systems (3/15)

• Territorial Marketing
• Political Communication
• Participatory Marketing
• +۳ مورد دیگر

Cédrine ZUMBO LEBRUMENT is a teacher-researcher at the ESC Group (University of Clermont Auvergne, France). Her research focuses on territorial marketing, political communication, participatory marketing, and citizen participation in smart city initiatives. Email: cedrine.zumbo-lebrument@esc-clermont.fr Key Research Themes: Territorial branding, soft mobility adoption, citizen engagement in urban development, and eco-responsible consumer behavior Recent studies include behavioral models for sustainable transport adoption at archaeological sites using the Theory of Planned Behavior, and VBN theory applications in smart city resident participation. She collaborates with researchers like Norbert Lebrument and Corinne Rochette on interdisciplinary projects at the intersection of political efficacy, environmental policy, and digital transformation. Her publications span journals like Current Issues in Tourism and Urban Studies , with conference papers at AIRMAP and Colloque Etienne Thil. She applies quantitative methods such as PLS-PM and structural equation modeling to analyze large datasets.

Babak Esfandiariمشاهده پروفایل

استاد

• Artificial Intelligence
• Agent-Based Systems
• Network Computing
• +۶ مورد دیگر

Babak Esfandiari is a Professor at the Faculty of Engineering and Design , Department of Systems and Computer Engineering , Carleton University. His research focuses on Agent-based systems , Network computing , Artificial intelligence applications , Object-oriented design , and Network management . He leads the NM-AI Research Lab and contributes to Sustainable Energy initiatives. Ph.D. from Université Montpellier II (France) Email: babak@sce.carleton.ca Office: MacKenzie Building, Room 4478 His research bridges Artificial Intelligence , Network Engineering , and Software Engineering , with applications in Mobile Robotics , Digital Twin Emulation , and Network Optimization . He has developed frameworks for BDI Agents , Trust Management , and Network Simulation , as evidenced by his publications. He teaches advanced courses such as SYSC 5103 Software Agents , SYSC 3110 Software Development Lab , and SYSC 4806 Software Engineering Lab . His work has influenced interdisciplinary domains including Energy Policy and Human-Agent Interaction .

June Brownمشاهده پروفایل

استاد

• Early intervention in depression and anxiety
• Cognitive Behavioral Therapy
• Mental health services
• +۷ مورد دیگر

June Brown is a Professor of Clinical Psychology at the Institute of Psychiatry, Psychology & Neuroscience, King's College London. She leads significant research on early intervention for depression and anxiety, particularly focusing on accessible community-based mental health interventions. Her current role involves directing major research projects including the DISCOVER-UK implementation study and the BESST trial follow-up study. Her research interests center on early intervention in depression and anxiety , improving access to evidence-based treatments , and developing one-day CBT workshops for community settings. She specifically focuses on reaching underserved populations who don't typically seek mental health services, including ethnic minorities and males. Her work has adapted adult CBT workshops for adolescents and for women with post-natal depression, with a current large clinical trial evaluating day-long workshops for 900 16-18 year olds across 60 schools. Analysis of her recent publications reveals a strong emphasis on school-based mental health interventions , CBT workshop effectiveness , and addressing health inequalities in mental healthcare access. Her research employs rigorous methodologies including randomized controlled trials, systematic reviews, and qualitative approaches to understand barriers to help-seeking behavior. Early intervention for depression and anxiety in 16-18 year olds: a multi-centre trial of self-referral psychological Stress workshop programmes in schools (BESST study) - Prize received March 21, 2024 Multiple media engagements including features in 12 news outlets about the BESST trial findings Policy impact with her work referenced in national policy sources Professor Brown actively supervises doctoral students and has secured substantial research funding from major organizations including the NIHR National Institute for Health & Care Research and the Psychiatry Research Trust. Her collaborative network includes researchers across King's College London and partner institutions, with significant work through the Maudsley Biomedical Research Centre. She maintains active engagement with community organizations like Citizens UK to develop co-produced mental health interventions.

Marija Petrovićمشاهده پروفایل

پژوهشگر

• Social Cognition
• Contradictory Beliefs
• Doublethink
• +۵ مورد دیگر

Marija Petrović is a Researcher at the Department of Psychology, Faculty of Philosophy, University of Belgrade. She is also a member of the LIRA Lab (Laboratory for Irrationality Research in Attitudes) and actively contributes to research on irrational beliefs, science communication, and health psychology. Research Interests: Marija investigates how people maintain contradictory beliefs (doublethink), belief in conspiracy theories, and irrational health behaviors during crises like the COVID-19 pandemic. Her work explores cognitive biases, belief system organization, and strategies to reduce epistemically dubious beliefs. Developing tools to assess intentional non-adherence to medical recommendations (iNAR-12) Examining the psychological roots of questionable health practices Studying the persistence of mutually exclusive beliefs Investigating social nudges for vaccination compliance Publication Trends: Marija's research spans cognitive psychology, health behavior, and political psychology. Her recent work focuses on global trust in science, climate change attitudes, and authoritarianism scales in post-communist societies. She also contributes to cross-cultural studies on temporal discounting and behavioral economics. Contact: marija.petrovic@f.bg.ac.rs

Matthew Willseyمشاهده پروفایل

استادیار

• Brain-Computer Interfaces
• Intracortical neural decoding
• Neural signal processing
• +۵ مورد دیگر

Matthew Willsey, PhD, is an Assistant Professor jointly appointed in the Department of Neurosurgery and the Department of Biomedical Engineering at the University of Michigan, Ann Arbor. He leads the Willsey Laboratory, a multidisciplinary team dedicated to developing high-performance intracortical brain-computer interfaces (iBCIs) that restore communication and fine motor control for individuals with severe paralysis. Research Focus Real-time decoding of finger and wrist movements from cortical neural signals Non-linear machine-learning algorithms (artificial neural networks, RNNs) for robust neural decoding Clinical translation of iBCIs, including first-in-human trials with high-capacity implants Computational neuroscience of motor control and neural dynamics Low-power, wireless neural interfaces for long-term implantation Dr. Willsey’s recent publications converge on three major themes: (1) achieving naturalistic, multi-effector control through advanced decoding algorithms; (2) translating these technologies into safe, effective clinical systems for paralyzed users; and (3) understanding the underlying neural computations that enable dexterous movement. His work increasingly integrates explainable AI techniques to balance performance with interpretability, ensuring clinical adoption and regulatory approval. Clinical & Translational Leadership Principal Investigator, Paradromics Connexus BCI national clinical trial site at Michigan Director, University of Michigan arm of the Investigational Brain-Computer Interface for Motor/Speech Restoration study Leads participant recruitment and longitudinal testing for 13-month iBCI trials Laboratory & Mentorship The Willsey Lab currently hosts MD/PhD students, neurosurgery residents, and post-doctoral researchers. Recent trainees include Prateek Pinchi (MD/PhD candidate focusing on human BCI algorithms) and collaborations across the University of Michigan Neurosurgery and Biointerfaces communities. The lab also maintains active partnerships with industry (Paradromics) and national consortia to accelerate translation from bench to bedside.

Fabio Patriziمشاهده پروفایل

دانشیار

• Formal Methods
• Knowledge Representation
• Machine Learning
• +۷ مورد دیگر

Fabio Patrizi is an Associate Professor in Computer Science at the Department of Computer, Control and Management Engineering (DIAG) at Sapienza University of Rome. He serves as Coordinator of the Bachelor in Information Engineering program at the Latina site. His academic career includes significant service roles such as Editorial Board Member for the prestigious Artificial Intelligence Journal (AIJ) since 2023, Area Chair for ICSOC 2023, and co-chair for the KR 2025 track on Knowledge Representation & Reasoning and Planning & Scheduling. Patrizi's educational background led to National Scientific Habilitation for Full Professorship for sector SC 09/H1 (now GSD 09/IINF-05). His research spans Formal Methods, Knowledge Representation, Machine Learning, Reasoning about Action, Planning in AI, Service-oriented Computing, and Business Processes. His work focuses on theoretical, methodological, and practical aspects including Behavior and Service composition, Planning programs, MAS Verification, Reasoning About Actions, Infinite-plan synthesis, Data abstraction techniques, and Reinforcement Learning with non-Markovian Rewards. His publication record includes over 70 scientific papers in top-level international journals and conferences. Recent research trends show a strong focus on temporal reasoning in reinforcement learning, planning frameworks, process mining, and verification techniques. His work bridges theoretical foundations with practical applications in AI planning and verification. ICDT Test of Time Award on Automatic verification of data-centric business processes (2009) RMIT Visiting Researcher's Award (2011) ICAPS 2024 Outstanding SPC Award Patrizi has supervised 2 PhD students and actively serves on program committees for major AI conferences including AAAI, IJCAI, ICAPS, AAMAS, KR, and ECAI. His research projects include MARLeN (Principal Investigator, 2023-2025), AIPlan4EU (Task Leader, 2021-2023), DRAPE (Principal Investigator, 2019-2022), WhiteMech (Participant, 2019-2024), TAILOR (Participant, 2020-2023), VerySynCopated (Principal Investigator, 2014-2016), ACSI (Participant, 2010-2013), and SM4All (Participant, 2008-2011). He is a member of the Data Management & Service-Oriented Computing and Artificial Intelligence & Knowledge Representation research groups at DIAG, contributing to collaborative efforts in advanced AI research and applications.

• Mathematics Education
• Teacher Education
• Numeracy
• +۶ مورد دیگر

Christos Markopoulos serves as Associate Professor and Director of Higher Degrees Research Training (DHDRT) at Southern Cross University's Faculty of Education, bringing extensive expertise in mathematics education across European and Australian contexts. His work focuses on curriculum design for pre-service teachers, significantly elevating SCU's LANTITE numeracy success rates to among the nation's highest. His educational credentials include a PhD (2004) and BEd (1993) from the University of Patras, an MA (1996) from the University of Surrey, and a Graduate Diploma in Theological Studies (2024) from the Sydney College of Divinity. These qualifications underpin his evidence-based approach to teacher development. Markopoulos' research pioneers solutions for mathematics anxiety , teacher identity formation , and rural education challenges , utilizing dynamic 3D geometrical tools and differentiated instruction frameworks. His international collaborations with US, Canadian, and Greek researchers drive innovation in inclusive pedagogy and adaptive rural teaching strategies. Recent publications reveal strong trends in inclusive education for students with disabilities, online teacher communities, and context-specific frameworks for regional mathematics educators. These works bridge theory and practice across mathematics education, special education, and leadership domains. His notable recognition includes: 2017 Vice Chancellor's Citation for Outstanding Contribution to Student Learning In his DHDRT role, Markopoulos enhances HDR completion rates through strategic supervision frameworks and attracts high-caliber candidates. His grant-funded "Bite Size Maths" project (2017) directly addressed mathematics capability gaps for low-SES students in remote Australia, demonstrating practical impact of his research. He maintains active leadership in the Faculty of Education across Gold Coast and Lismore campuses, directing international research networks focused on scalable solutions for systemic educational challenges.

• Artificial Intelligence
• Machine Learning
• Representation Learning
• +۴ مورد دیگر

Dr. Ling Chen is a Professor at the University of Technology Sydney (UTS) , affiliated with the Faculty of Engineering and Information Technology and the Australian Artificial Intelligence Institute (AAII) , where she serves as Research Director. Her work bridges machine learning , representation learning , and reinforcement learning with large language models in interactive systems. PhD in Computer Engineering from Nanyang Technological University (NTU), Singapore Postdoctoral training at Leibniz University Hannover (L3S Research Centre), Germany Dr. Chen's research spans graph neural networks , time-series forecasting , and ethical AI . She develops zero/few-shot anomaly detection models and continual learning frameworks for dynamic environments. Her recent work includes trustworthy AI applications in medical imaging and fraud detection . Her 15 most recent articles focus on graph foundation models , contrastive learning , multimodal medical report generation , and temporal-sensitive question answering . These reflect trends in graph anomaly detection , curriculum learning for Transformers , and ethical AI development . Dr. Chen has received: ARC Future Fellowship (Level 3) COLING 2025 Best Short Paper Award She supervises 25 PhD students, 4 Master-by-Research, and 4 postdoctoral researchers as part of AAII's team of over 30 researchers and 200 HDR students. She holds the IEEE Task Chair for Data Science and Advanced Analytics and collaborates with industry leaders like Facebook and TPG Telecom .