جست‌وجوی استاد و پژوهشگر

Paul Malschingerمشاهده پروفایل

پژوهشگر ارشد

• Sociology of education
• Sociology of youth
• Labour-market sociology
• +۴ مورد دیگر

Paul Malschinger is a Research Fellow at the Institute of Sociology , Faculty of Social Sciences , University of Vienna . He is currently co-leading the multi-year project “Youth and Social Inequality in a Longitudinal Perspective” funded by the Austrian Academy of Sciences (2022-2025), and serves as a visiting scientist at the University of Stuttgart. His work centres on the sociology of education, youth transitions, and advanced quantitative methods. Education: BSc (WU) – Vienna University of Economics and Business MA – advanced social-science research methods Research interests span the sociology of education and youth, labour-market transitions, social inequality, life-course analysis, and the development and application of quantitative and mixed-methods designs. He specialises in longitudinal panel studies, survey methodology, and statistical modelling of school-to-work trajectories. Across a rapidly growing publication record (2023-2025), Malschinger analyses how young people’s future orientations, political participation, and career aspirations evolve over time and how these processes are shaped by structural inequalities. His empirical studies combine large-scale survey data with sophisticated statistical techniques, providing robust evidence for policy and academic debates on youth and social inclusion. Scientific awards & distinctions ÖAW-DOC-team scholarship, Austrian Academy of Sciences (2022-2025) Grants & collaborative projects Principal co-investigator, “Youth and Social Inequality in a Longitudinal Section” (Austrian Academy of Sciences, 2022-2025) Research collaborator, “Paths to the Future – Socialisation of Young People in Vienna” (2016-2022) Research team member, “Marienthal.reversed – Transition from Long-Term Unemployment” (2020-2023) He regularly teaches Introduction to Quantitative Social Research and Statistics in Sociology at undergraduate level, supports several institute research teams, and actively disseminates findings through public lectures, radio broadcasts, and policy briefs aimed at practitioners and policymakers.

Satish Kumar Thittamaranahalliمشاهده پروفایل

استاد

• Artificial Intelligence
• Multi-Agent Systems
• Multi-Robot Systems
• +۱۰ مورد دیگر

Prof. Satish Kumar Thittamaranahalli (T. K. Satish Kumar) is a faculty member at the University of Southern California (USC) with appointments in the Departments of Computer Science, Physics and Astronomy, and Industrial and Systems Engineering. He leads the Collaboratory for Algorithmic Techniques and Artificial Intelligence (CATAI) at USC’s Information Sciences Institute, focusing on combinatorial problems in AI. Ph.D., Computer Science, Stanford University (2005) M.S., Computer Science, Stanford University (2003) B.Tech., Computer Science and Engineering, Indian Institute of Technology Guwahati (1999) His research spans multi-agent systems , combinatorial optimization , and constraint satisfaction , with applications in robotics, quantum computing, and data informatics. Recent work includes FastMap-based architectures and algorithms for pathfinding and facility location problems. Notable awards include the Best Student Paper Award (2005) at ICAPS. His lab has produced peer-reviewed publications in venues like AAAI, AAMAS, and Nature Communications Engineering.

Monika Trimoskaمشاهده پروفایل

استادیار

• Cryptanalysis
• Post-Quantum Cryptography
• Multivariate Cryptography
• +۶ مورد دیگر

Monika Trimoska is an Assistant Professor at the Coding Theory and Cryptology group at Eindhoven University of Technology (TU/e) , where she has worked since 2023. Previously, she was a postdoc at Radboud University and obtained her Ph.D. in cryptography at the University of Picardie Jules Verne under the supervision of Gilles Dequen and Sorina Ionica. She has also served as a Teaching and Research Assistant at her alma mater. Current Affiliation: Assistant Professor, TU/e (2023–present) Previous Affiliations: Postdoc at Radboud University (2021–2023), Teaching/Research Assistant at University of Picardie (2017–2021) Research Interests revolve around cryptanalysis of post-quantum cryptosystems , focusing on multivariate , code-based , and isogeny-based systems. Her work bridges theoretical and practical security analysis, particularly through SAT solvers and fault injection attacks . Recent Publications demonstrate expertise in algebraic attacks against digital signature schemes like MQ-Sign and CSIDH , with a focus on code equivalence problems , trilinear forms , and parallel collision search . She has also contributed to homomorphic encryption applications. Teaching Activities include courses on Applied Number Theory and Algebra and guest lectures on isogeny-based cryptography at Radboud University. She has co-supervised multiple Ph.D. , Master’s , and Bachelor’s students. Technical Contributions include open-source tools like WDSat (SAT solver for Weil descent) and MCE (Matrix Code Equivalence implementations).

Panagiotis Tsiotrasمشاهده پروفایل

استاد

• Nonlinear Control
• Optimal Control
• Artificial Intelligence
• +۵ مورد دیگر

Panagiotis Tsiotras holds the David & Andrew Lewis Endowed Chair in the Daniel Guggenheim School of Aerospace Engineering at Georgia Tech and serves as Associate Director at the Institute for Robotics and Intelligent Machines (IRIM). His research focuses on nonlinear/optimal control, AI integration, planning, and decision-making for autonomous ground, aerial, and space systems. Education: Dipl.Eng. Mechanical Engineering, National Technical University of Athens, 1986 M.S. Aerospace Engineering, Virginia Tech, 1987 M.S. Mathematics, Purdue University, 1992 Ph.D. Aeronautics and Astronautics, Purdue University, 1993 Research: Primary interests include autonomous vehicle control, robotics, AI-driven decision-making, and multi-agent systems. His work bridges theoretical control frameworks with applications in aerospace robotics, featuring advanced algorithms for navigation, safety verification, and large-scale system coordination. Recent themes involve stochastic control, distribution steering, and real-time safety guarantees. Awards: IEEE Technical Excellence Award in Aerospace Controls NSF CAREER Award Outstanding Aerospace Engineer Award (Purdue) Sigma Xi Excellence in Research Award Fellow of AIAA, IEEE, and AAS Leadership: Directs the Dynamics and Control Systems Laboratory (DCSL) and collaborates with the Vertical Lift Research Center of Excellence (VLRCOE) and Decision and Control Laboratory (DCL). Editorial roles include Chief Editor of Frontiers in Robotics & AI and Associate Editor for multiple control journals.

Esra Erdemمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Answer Set Programming
• +۶ مورد دیگر

Esra Erdem is a Professor in the Department of Computer Science and Engineering at Sabanci University, Faculty of Engineering and Natural Sciences. Her research focuses on the mathematical foundations of knowledge representation, automated reasoning, and answer set programming, with applications in bioinformatics, logistics, cognitive robotics, and economics. She has developed frameworks for hybrid planning, spatial-temporal reasoning, and multi-agent coordination using logic-based methods. She earned her Ph.D. in Computer Sciences (2002) at the University of Texas at Austin under Vladimir Lifschitz. Her academic genealogy traces back to Nikolai Shanin, Pavel Aleksandrov, and Karl Weierstrass. Her recent publications emphasize answer set programming for robotics, including collaborative assembly, path finding, and spatial reasoning. She applies these techniques to real-world challenges in cognitive factories and rehabilitation robotics. Erdem co-edited proceedings for KR 2021 and ICLP 2019 Technical Communications. She serves as an academic advisor and has contributed to educational tools like ReAct! for AI planning in robotics.

• Semantic Web
• Web Services Composition
• Formal Concept Analysis
• +۶ مورد دیگر

Nizar Messai is a Researcher at the University of Tours , affiliated with the Faculty of Science and Technology and Polytechnic School of the University of Tours (EPU) . He works within the Laboratory of Fundamental and Applied Computer Science (LIFAT, UR 6300) , focusing on semantic technologies and distributed systems. Research Interests : Semantic Web Services Composition Formal Concept Analysis (FCA) for Data Mining Blockchain Applications in Trustworthy Systems Context-Aware IoT Mashups Linked Open Data Integration Scientific Contributions : Developed semantic similarity measures for service discovery Created the LDS Java library for LOD-based similarity Explored blockchain for decentralized choreography execution Integrated attention mechanisms in travel mashup systems Applied FCA to clinical decision support systems Collaborations & Labs : Active member of the LIFAT (UR 6300) laboratory, contributing to projects at the intersection of computer science, semantic technologies, and biomedical informatics.

Arnaud Arslangulمشاهده پروفایل

استاد

• Second Language Acquisition
• Chinese Linguistics
• Discourse Analysis
• +۵ مورد دیگر

Arnaud Arslangul is a University Professor at the National Institute of Oriental Languages and Civilizations (INALCO), specializing in Chinese Studies. He is affiliated with the Center for Linguistic Research on East Asia (CRLAO) and holds the Habilitation à Diriger des Recherches (HDR) in Linguistics from Paris City University (2024). His roles include directing the Department of Chinese Studies at INALCO and coordinating academic programs such as the Bachelor's first year and Master's MEEF Chinese course. Director, Department of Chinese Studies (INALCO) Coordinator, Bachelor's and Master's programs in Chinese HDR in Linguistics (University Paris Cité, 2024) Research Interests: Dr. Arslangul focuses on second language acquisition, particularly information structure and spatial localization processes in L2 Chinese. His work examines narrative discourse, locative particles, directional verb compounds, and existential constructions, often comparing French and Chinese linguistic patterns. He also explores the role of visual stimuli in oral expression and the impact of L1 typology on L2 spatial encoding. Publications: His recent work includes studies on protagonist introduction in L2 narratives, locative phrase organization, and terminology challenges in teaching Chinese grammar. His research trends highlight cross-linguistic differences in spatial conceptualization and pedagogical applications of linguistic findings. Academic Contributions: Dr. Arslangul has presented at international conferences like EuroSLA and edited volumes on L2 acquisition. He co-authored Méthode de chinois (2019), a key resource for advanced Chinese instruction. Labs & Teams: He contributes to the CRLAO (UMR 8563), focusing on East Asian linguistic research, and collaborates on projects like CompCor-v0.1.2, a cross-linguistic corpus.

Václav Hlaváčمشاهده پروفایل

استاد

• Computer Vision
• 3D Scene Reconstruction
• Pattern Recognition
• +۸ مورد دیگر

Václav Hlaváč is a Professor of Engineering Cybernetics at the Czech Institute of Informatics, Robotics and Cybernetics (CIIRC), part of the Czech Technical University in Prague (CTU). He serves as Head of the Department of Robotics and Machine Perception, Deputy Director of CIIRC, and holds roles in university governance. His work bridges academic leadership with cutting-edge research. PhD in Control Engineering (CTU, 1987) Professor at CTU (1998–present) Founder of the Center for Machine Perception (1996) Research Interests Hlaváč specializes in: Computer Vision – 3D scene reconstruction, video sequence analysis, and image processing Pattern Recognition – Statistical and structural methods, ordinal classification Autonomous Robotics – Manipulation of soft materials and industrial applications His recent work focuses on robotic cable segmentation , digital twins for manufacturing, and event camera technology . Publications span journals like Information Sciences and IEEE Robotics and Automation Letters , with over 18,000 Google Scholar citations. Scientific Awards Research fellowship, Institute of Control Problems (Moscow, 1986) Research fellowship, University of Sussex (1989) Visiting professorships at TU Vienna (1993, 1995) Teaching & Publications He authored the textbook Image Processing, Analysis, and Machine Vision (4th ed, 2015) and maintains teaching resources in English and Czech . His Center for Machine Perception has been active since 1996.

• Digital Design
• Advanced Fabrication
• Structural Form-Finding
• +۵ مورد دیگر

Andrei Nejur is an Associate Professor at the School of Architecture within the Faculty of Environmental Design at the University of Montreal, where he maintains an active research and teaching practice. He directs the LAIR (Laboratory in Architecture, Computer Science and Robotics) and also runs his own architecture firm, N2 Arhitectura SRL. His research focuses on digital design, advanced fabrication techniques, and structural form-finding through 3D graphic statics. He has developed significant software tools including Ivy for Rhino/Grasshopper for mesh segmentation and PolyFrame, the first 3D graphic statics platform dedicated to structural form-finding using reciprocal polyhedral structures. His expertise spans thin-sheet architectural structures, geometric methods for structural design, fabrication-sensitive structural form-finding, and circular design methods for non-standard forms. His recent publications reveal a strong emphasis on sustainable and innovative architectural solutions, with particular focus on aluminum folding techniques, reclaimed materials for temporary shelters, and digital fabrication methods for curved architectural skins. His work consistently bridges theoretical computational approaches with practical architectural applications. Fulbright Postdoctoral Fellowship at UC Berkeley - College of Environmental Design (2015-2016) Postdoctoral Fellowship at University of Pennsylvania - School of Design (2018) Nejur leads multiple significant research projects including 'Digital fabrication for environmentally conscious architectural structures' (2022-2029), 'Development of construction systems promoting increased use of wood in Quebec construction' (2023-2028), and 'Deep Skins: Development of sheet-based fabrication strategies for volumetric structural envelopes' (2022-2025), supported by substantial funding from the Canadian Foundation for Innovation, NSERC, and FRQNT. His LAIR laboratory recently received $516,000 from the Canada Foundation for Innovation to develop robotic fabrication infrastructure. He directs the LAIR laboratory where innovative projects like the Cnidaria research pavilion (2024) are developed, featuring a 25m² aluminum shell produced through innovative construction methods for curved architectural surfaces based on manual folding and assembly techniques.

• Philosophy of Cognitive Science
• Metaphysics
• Philosophy of Mind
• +۳ مورد دیگر

Robyn Waller is an Associate Professor of Philosophy in the School of Media, Arts and Humanities at the University of Sussex, where she is affiliated with the Sussex Centre for Consciousness Science and Sussex AI. She serves on the Council for the Royal Institute of Philosophy and maintains an active research profile bridging philosophy with cognitive science. Her educational background includes a dual BA in Psychology and Russian from Grinnell College, an MA in Philosophy of Psychology from King's College London, and a PhD in Philosophy from Florida State University. Previous academic appointments include Assistant Professor at Iona College (2018-2022), Visiting Assistant Professor at Franklin and Marshall College (2017-2018), Lecturer at King's College London (2015-2017), and a position at the University of Alabama (2014-2015). Waller's research primarily focuses on philosophy of cognitive science and metaphysics, with significant contributions to free will debates, neuroscience of agency, and ethical implications of AI. Her work integrates empirical findings from cognitive neuroscience with traditional philosophical analysis, particularly examining compatibilist frameworks, biomarkers of volition, and algorithmic bias. She has published extensively on moral responsibility, causal judgments, and the intersection of psychotherapy with agency restoration. Her recent publications (2021-2023) demonstrate growing engagement with artificial intelligence ethics, neural correlates of decision-making, and the philosophical foundations of volitional agency, reflecting interdisciplinary collaboration across philosophy, neuroscience, and computer science. Dr Waller teaches core philosophy courses including Philosophy of Mind, Metaphysics, Philosophy of Artificial Intelligence, and Themes in Analytic Philosophy. Her teaching portfolio spans undergraduate and postgraduate levels with recent courses on World, Mind & Body, Aesthetics, and Science & Reason. She has supervised course-based projects but no formal PhD/Master's advisees are documented in the provided materials. As an active member of the Sussex Centre for Consciousness Science and Sussex AI, she contributes to interdisciplinary research initiatives exploring consciousness, artificial cognition, and ethical frameworks for emerging technologies. Her ORCID identifier is 0009-0000-3753-5429.

Michael Roachمشاهده پروفایل

دانشیار

• Entrepreneurship
• STEM Workforce
• Immigration Policies
• +۳ مورد دیگر

Michael Roach is an Associate Professor and Director of Graduate Studies in the Department of Business Administration at the University of Illinois. His research focuses on entrepreneurship, STEM workforce dynamics, immigration policies affecting scientists and engineers, and career preferences in academic and industrial settings. He explores critical issues such as why top STEM PhDs often avoid US tech startups, the inefficiencies in current immigration pathways for STEM professionals, and how early career decisions shape entrepreneurial success. Key research interests include occupational career paths, startup recruitment strategies, and the interplay between immigration policies and global talent retention. His work has been widely cited in academic and policy circles, with findings influencing debates on STEM workforce policies and innovation ecosystems. Roach's recent contributions highlight the challenges faced by technology startups in hiring high-ability early employees and the need for reformed immigration policies to retain international STEM talent. His interdisciplinary approach bridges management, labor economics, and public policy, addressing both theoretical and practical challenges in modern workforce dynamics. Media engagements include coverage by over 22 news outlets and policy references, underscoring the real-world impact of his research. While no specific grants or advising roles are detailed in the provided text, his role as Director of Graduate Studies indicates involvement in shaping academic programs and student mentorship.

Marco Caminatiمشاهده پروفایل

مدرس

• Computer Science
• Formal Methods
• Theorem Proving
• +۵ مورد دیگر

Dr. Marco Caminati is a Lecturer in Computer Science at Lancaster University, affiliated with the Security Lancaster research group, specializing in Distributed Systems and Software Security. His research focuses on formal methods, theorem proving, and their applications in areas like auction theory, quantum computing, and cybersecurity. He has contributed to verified algorithms, conflict resolution frameworks, and formalizations in Isabelle/HOL. His work bridges theoretical foundations with practical implementations, addressing challenges in software verification, healthcare informatics, and distributed systems. Key research interests include automated theorem proving, formal verification of concurrent systems, and applying formal methods to real-world problems such as medical guidelines and combinatorial optimization. He actively publishes in venues like the Journal of Automated Reasoning and has explored topics ranging from quantum information theory to SMT-based concurrency analysis. His publications often emphasize rigorous validation through tools like Isabelle and Mizar, ensuring correctness in complex systems. While no specific awards are listed, his contributions to formal methods have advanced applications in both academia and industry.

Myounggyu Wonمشاهده پروفایل

دانشیار

• Cyber Physical Systems
• Intelligent Transportation Systems
• Mobile Computing
• +۴ مورد دیگر

Dr. Myounggyu Won is an Associate Professor in the Department of Computer Science at the University of Memphis, leading the Connected Smart Sensor Systems (CS3) Lab. He holds a PhD from Texas A&M University (2013) and a BE from Sogang University, South Korea (2007). His research focuses on cyber-physical systems, intelligent transportation systems, and mobile computing, emphasizing algorithmic innovation for safer, efficient transportation through advanced sensing and communication technologies. Key research contributions include developing reinforcement learning-based solutions for vehicle routing with drones, adaptive cruise control systems using deep learning, and pedestrian safety prediction via wearable sensors. His work bridges theoretical advancements with practical applications, published in top-tier venues like ICRA, MM, and IEEE journals. Dr. Won previously served as an Assistant Professor at South Dakota State University before joining the University of Memphis in 2018. His lab explores cutting-edge topics such as autonomous vehicle coordination, wireless charging optimization, and low-power IoT communication for smart cities. Despite no explicit grants or awards listed, his prolific publication record reflects sustained research excellence in transportation and sensor systems.

Andre van Renssenمشاهده پروفایل

مدرس ارشد

• Computational Geometry
• Algorithms and Data Structures
• Graph Theory
• +۳ مورد دیگر

Dr. Andre van Renssen is a Senior Lecturer at the School of Computer Science, University of Sydney, where he has been working since 2018. He is a member of the Sydney Algorithms and Computing Theory (SACT) research group, contributing to both research and teaching in theoretical computer science. Dr. van Renssen earned his Ph.D. in Computer Science from Carleton University in Canada. His academic journey has focused on computational geometry and algorithms research with applications to real-world network problems. His primary research focuses on geometric networks, particularly network construction, augmentation, and routing algorithms. He designs efficient algorithms for finding shortest paths through various networks - from computer communications to transportation systems - while accounting for dynamic constraints like traffic congestion and obstacles. His work considers time-varying conditions where the optimal route might change based on time of day or unexpected closures, aiming to optimize network performance without requiring additional physical infrastructure. Analysis of his recent publications reveals a strong emphasis on computational geometry problems, particularly related to spanners, routing algorithms in constrained environments, Voronoi diagrams, and geometric optimization. His work bridges theoretical foundations with practical applications, with research already influencing technologies like Google Maps' navigation functionality. Awarded Australian Research Council (ARC) Discovery Project grant in 2024 for "Algorithms for Future-Proof Networks" Dr. van Renssen supervises research students including Zijin HUANG (working on "Utilisation of Realistic Input Models and the Computation of Their Input Parameters") and Shuei SAKAGUCHI (working on "Geometric Spanner Networks and Local Routing Algorithms"). His teaching portfolio includes advanced courses in data structures, algorithms, and computational geometry across undergraduate and graduate levels. He is actively involved in the international computational geometry research community, collaborating with researchers worldwide on geometric network problems that have both theoretical significance and practical applications.

Garry Squiresمشاهده پروفایل

استاد

• Special Educational Needs (SEN)
• Inclusion
• Mental Health in Education
• +۵ مورد دیگر

Prof Garry Squires is a Professor in Educational Psychology, Special Educational Needs and Inclusion at The University of Manchester's Manchester Institute of Education. He holds certifications including Fellow of the British Psychological Society (FBPsS) and European Certificate in Psychology (EuroPsy). His research focuses on inclusive education, mental health, and evidence-based interventions. Education : BEd(Hons), BSc(Hons), MSc, DEdPsy, Dip Psych, EuroPsy, CPsychol, FBPsS, FHEA Research Interests : His work addresses special educational needs (SEN), dyslexia, therapeutic approaches in schools, and policy impact. Notable projects include: READY Study : Tracking deaf youth's transition to adulthood Well Schools : Teacher and pupil wellbeing interventions Evaluation of programs like PATHS curriculum and Good Behaviour Game Professional Contributions : He chairs nasen's Editorial Advisory Board and advises the European Agency for Special Needs. His consultancy spans international agencies like the Audit Commission and British Dyslexia Association. Awards & Recognition : Fellowships in BPS and HEA EuroPsy certification Leadership roles in professional bodies (e.g., DECP Working Party) Teaching : Director of Teaching & Learning at MIE, leading modules on neuropsychology and special educational needs. Supervises PhD students researching dyslexia and inclusive practices. Key Impact : His research influences global policy, including UK SEN frameworks and international wellbeing initiatives. Outputs include over 130 peer-reviewed articles and policy reports cited in 32 policy documents.