Neurocomputing Professors and Supervisors in Austria

Hojjat Adeliمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Hojjat Adeli is an Academy Professor at The Ohio State University (OSU) with courtesy appointments in the Departments of Neurology, Neuroscience, and Biomedical Informatics. He has held the Abba G. Lichtenstein Professorship in Infrastructure Engineering (2003-2013) and served as Editor-in-Chief of Computer-Aided Civil and Infrastructure Engineering for 25 years. Academy Professor, OSU (2018–present) Professor of Neurology, Neuroscience, and Biomedical Informatics (by courtesy, since 2015-2002) His research interests span interdisciplinary domains at the intersection of engineering and neuroscience, focusing on: Computational neuroscience and neurocomputing Biomedical signal processing (particularly EEG-based diagnostics) Machine learning and computational intelligence applications Smart infrastructure systems and structural engineering Optimization algorithms in civil and biomedical contexts His research trends demonstrate a synergy between: Neural network development for medical diagnostics Wavelet and chaos theory in epilepsy detection Computational intelligence for structural engineering Hybrid models integrating fuzzy logic and genetic algorithms Scientific awards and honors include: Multiple IEEE Fellowships and AAAS Fellow Thomson Reuters Highly Cited Researcher in Engineering and Computer Science Hojjat Adeli Awards for Neural Systems and Innovation in Computing Elections to international academies in Poland, Lithuania, and Spain Scott Award for Engineering Education and Distinguished Member ASCE

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Paul Fletcherمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Professor Paul Fletcher serves as the Bernard Wolfe Professor of Health Neuroscience at the University of Cambridge Department of Psychiatry and Clinical Director of the Cambridge Neuroscience Interdisciplinary Research Centre. He holds concurrent appointments as a Wellcome Trust Investigator and Honorary Consultant Psychiatrist with the Cambridgeshire and Peterborough NHS Trust and Cambridge University Hospitals NHS Trust. His research centers on neurobiological mechanisms of psychosis , computational psychiatry , and appetite control in disordered eating . Fletcher pioneered influential theories linking prediction error signaling to psychotic symptoms, demonstrating how perturbations in frontal lobe responses explain hallucinations and delusions. His work integrates neuroimaging, psychopharmacology, and computational modeling to bridge clinical observations with neural mechanisms. Analysis of his recent publications reveals a dominant focus on prediction error computation in psychosis cortical structural changes in mental illness neurobiological correlates of eating disorders computational modeling of perceptual inference dopaminergic mechanisms in learning translational neuroscience approaches His work increasingly incorporates multimodal neuroimaging and real-world applications like the Hellblade: Senua's Sacrifice project. Key recognitions include: BAFTA Award for Games Beyond Entertainment (2017) James Bull Lectureship (2017) Election to Academy of Medical Sciences (2012) WFSP Research Award in Biological Psychiatry (2005) Fletcher maintains significant research funding through Wellcome Trust appointments spanning over two decades, including current status as a Wellcome Trust Investigator. His clinical neuroscience program bridges the Department of Psychiatry with NHS trusts, emphasizing translational pathways from basic mechanisms to clinical applications. The Fletcher Group operates within the Cambridge Neuroscience network, collaborating extensively across departments and healthcare systems.

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Ogorzalek Maciej Jerzyمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Maciej Jerzy Ogorzalek is a Full Professor and Head of the Department of Information Technologies at Jagiellonian University, Krakow, Poland. He holds positions at multiple international institutions, including Honorary Professorships in China and Chair Professorships in Hong Kong. His research focuses on circuits and systems design, nonlinear dynamics, fractal engineering, biomedical signal processing, and computational biology. Education: MSc (1979) and PhD (1987) in Electronic Engineering from AGH University of Science and Technology, Krakow, with habilitation (1992) and Professor title (1998). Research Interests: Fractal techniques for electronics and communications Chaos control and synchronization in engineering systems Bio-medical signal processing for skin cancer diagnosis Computational methods in systems biology Awards: IEEE Fellow (1997) - Second Polish recipient Guillemin-Cauer Award (2002) Senior Scientist Award (JSPS, 2001) IEEE Circuits and Systems Society President (2008) Key Contributions: Pioneered chaos control methodologies Developed fractal-based microelectronic designs Led interdisciplinary work in computational biology Authored over 260 publications and 42 keynote lectures

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Leslie Valiantمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Leslie Valiant is the T. Jefferson Coolidge Professor in Computer Science and Applied Mathematics at Harvard University's School of Engineering and Applied Sciences. His career spans institutions including Carnegie-Mellon, Leeds, Edinburgh, and Oxford Universities, with roles from Lecturer to Visiting Research Fellow. Ph.D. in Computer Science (Warwick, 1974) Diploma in Computing Science (Imperial College, 1971) B.A. in Mathematics (King's College, Cambridge, 1970) His research bridges computer science with biology, focusing on computational complexity , machine learning , evolutionary algorithms , and computational neuroscience . He has pioneered theories in PAC (Probably Approximately Correct) learning , holographic algorithms , and neural circuit modeling . His work connects parallel computing to brain function and evolvability to machine learning. Recent publications (2018-2008) emphasize holographic algorithms , neural computation , and evolvability . Trends include integrating biological principles into algorithm design and neuroscience into cognitive models . Scientific Awards and Honors: Guggenheim Fellowship (1985-1986) Nevanlinna Prize (1986) Knuth Prize (1997) EATCS Award (2008) ACM Turing Award (2010) Fellowships in Royal Society, AAAS, ACM, and AAAI Multiple honorary degrees and appointments Valiant has authored books like Circuits of the Mind and Probably Approximately Correct , holding three US patents on parallel computing . His work on knowledge infusion and neural architectures has influenced both AI and theoretical neuroscience.

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Jiri Wiedermannمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Theoretical computer science
Computational complexity
Models of sequential and parallel computational systems
+۷ مورد دیگر

Jiri Wiedermann is a Professor of Computer Science at Charles University and has served as Director of the Institute of Computer Science at the Academy of Sciences of the Czech Republic since 2000. His academic journey includes an Assoc. Prof. position at Charles University (2000) and degrees from Comenius University (RNDr., M.Sc.) and Czechoslovak Academy of Sciences (CSc., DrSc.). Education : DrSc. in Computer Science (Comenius University, Bratislava, 1993) CSc. (equiv. to PhD) in Computer Science (Czechoslovak Academy of Sciences, Prague, 1980) RNDr. and M.Sc. in Computer Science (Comenius University, Bratislava, 1974) His research spans Theoretical Computer Science , focusing on computational complexity, neurocomputing, and non-standard computing. He explores embodied cognition, mirror neurons, and autopoietic automata, bridging neural models with algorithmic frameworks. The 15 most recent publications highlight his work on interactive computation, fuzzy Turing machines, evolving artificial living systems, and cognitive architectures. Key trends include machine learning inspired by biological systems , computational limits of cognition , and formal models of neural processes . Scientific Awards : Member of Academia Europaea (since 2006) Member of the Czech Learned Society (since 2003) Board of Directors, ERCIM (since 1997) Leadership roles in EATCS (Vicepresident 1997-2002)

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Wolfdieter Merklمشاهده پروفایل

دانشیار

Vienna University of TechnologyAustria

Wolfdieter Merkl is an Associate Professor at the Department of Data Science, Technische Universität Wien. His research focuses on Machine Learning, Electronic Commerce, and Information Retrieval, with interdisciplinary applications in Art History, E-Learning, and Digital Humanities. He leads projects like the Virtual 3D Social Experience Museum (VSEM), funded by the Austrian Science Fund (FWF). His work integrates computational methods with cultural heritage, including visualizing art historical networks, developing serious games for art education, and analyzing social media interactions. He teaches courses such as E-Marketing and Social Media, emphasizing practical applications of data-driven approaches. Supervising numerous theses, he has guided research on topics like propaganda detection, climate change analysis, and sentiment analysis in finance. Key contributions include data-driven art history mappings, user-generated content analysis in cultural contexts, and 3D virtual world applications. His publications span art history informatics, educational technology, and computational methods in cultural studies.

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Joseph Vandewalleمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Joos Vandewalle is a Full Professor at the Department of Electrical Engineering (ESAT), KU Leuven, Belgium, since 1986. He has held leadership roles including Chairman of the Department of Electrical Engineering (1996-1999, 2003-2005), Vice-Dean of the Faculty of Engineering (1999-2002), and Coordinator of the Center of Excellence on Optimization in Engineering since 2005. His academic career spans over four decades, with prior positions as a Visiting Assistant Professor at UC Berkeley (1978-1979) and Research Associate at KU Leuven (1976-1978). Education : Electrical Engineering degree (1971), Doctorate in Applied Sciences (1976), both from KU Leuven. His research focuses on the intersection of mathematical system theory and its applications in circuit theory, control systems, signal processing, cryptography, and neural networks. Recent work emphasizes nonlinear methods like support vector machines and multilinear algebra for data processing and optimization. He has taught courses in linear algebra , system and circuit theory , and neural networks , influencing large cohorts of students. Vandewalle’s accolades include IEEE Fellows , EURASIP Fellow , and IEE (UK) Fellow distinctions. He received the IEEE Gustav Robert Kirchhoff Award (2022) and honorary doctorate in 2023. His editorial contributions include roles at the IEEE Transactions on Circuits and Systems and advisory boards for journals like Neurocomputing and Neural Networks . He has supervised approximately 30 PhD students, many of whom became successful researchers or managers in fields such as biomedical signal processing, telecommunications, and applied mathematics. Vandewalle has also participated in international research evaluations and panels, including the ERC Advanced Grants (2008) and the German DFG for Centers of Excellence (2006) . Labs/Teams : Head of the SCD division (over 150 researchers) and Coordinator of the Center of Excellence on Optimization in Engineering at KU Leuven.

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Wiedermann Jiriمشاهده پروفایل

استاد

Graz University of TechnologyAustria

Theoretical computer science
Computational complexity
Models of sequential and parallel computational systems
+۷ مورد دیگر

Jiri Wiedermann is a Professor of Computer Science at Charles University, Prague, and has served as Director of the Institute of Computer Science at the Academy of Sciences of the Czech Republic since 2000. He previously held the position of Associate Professor at Charles University from 2000 onwards. Research interests: His work spans foundational areas of computer science, including computational complexity, neurocomputing, and non-standard computing models. He has contributed to the understanding of sequential and parallel computational systems, embodied cognition, and artificial life. Scientific awards and memberships: Member of Academia Europaea (Informatics Section) since 2006 Member of the Czech Learned Society since 2003 Board of Directors member at ERCIM since 1997 Former Vicepresident of EATCS (1997-2002) Council member of EATCS (1995-2003) Longstanding member of EATCS since 1993

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Kun Yangمشاهده پروفایل

استاد

Graz University of TechnologyAustria

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

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Jean Chamberlain Chedjouمشاهده پروفایل

دانشیار

University of KlagenfurtAustria

Jean Chamberlain Chedjou is an Associate Professor at the Department of Smart System Technologies within the Faculty of Technical Sciences at Alpen-Adria University Klagenfurt, Austria. His 30+ year career spans appointments at universities in Cameroon, Germany, Italy, and France, with current research focused on nonlinear dynamics, neurocomputing, and traffic systems. He holds a Dr.-Ing. from Leibniz University of Hanover and achieved Habilitation at Alpen-Adria University in 2014. His educational background includes: Bachelor in Physics, University of Yaoundé (1990) Master in Electronics, University of Yaoundé (1992) Doctorate (Doctorat de troisième cycle) in Electronics, University of Yaoundé (1999) Dr.-Ing. in Electrical Engineering, Leibniz University of Hanover (2004) Habilitation, Alpen-Adria University Klagenfurt (2014) Dr. Chedjou's research centers on Nonlinear Dynamics and Neurocomputing , with critical applications in analog computing for differential equation solving, traffic telematics, and chaotic circuit design. His work bridges theoretical analysis of multistable systems with practical microcontroller-based implementations, particularly in inertial Hopfield neural networks and coupled oscillator networks. Recent expansions include machine learning applications for diabetes prediction and battery health monitoring. Analysis of his 2024-2025 publications reveals dominant trends in multiscroll chaotic attractors, hyperchaotic circuit design with three+ positive Lyapunov exponents, and experimental validation through Arduino/microcontroller platforms. A significant shift toward healthcare applications (diabetes prediction, health monitoring) using neural network architectures is evident alongside continued work on traffic modeling and semiconductor device physics. Scientific recognition includes: DAAD Research Fellowship (2003-2004) AUF Research Fellowship (2005-2006) Ausgezeichnete Lehre teaching award from Alpen-Adria University As a dedicated mentor, Dr. Chedjou has supervised numerous Master's and PhD theses in nonlinear systems and traffic informatics. His research is supported by international fellowships and evidenced through extensive editorial service including Springer co-edited volumes, IEEE conference committees, and reviews for top journals like IEEE Transactions on Circuits and Systems. He actively contributes to curriculum development through university commissions. Current work occurs within the Department of Smart System Technologies laboratory, focusing on hardware implementations of chaotic systems and transportation informatics. Collaborations span the Abdus Salam International Centre for Theoretical Physics (ICTP) and French/German institutions, with emphasis on translating theoretical models into physical electronic systems.

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Vito Pirrelliمشاهده پروفایل

پژوهشگر ارشد

Graz University of TechnologyAustria

Vito Pirrelli is a prominent figure in computational linguistics and psycholinguistics, currently serving as Research Manager at the Institute for Computational Linguistics “A. Zampolli” CNR Pisa . He has held various academic roles since 1989, including Senior Research Fellow (CNR level II) and Pro-tem Director of his institute. Pirrelli’s work bridges theoretical morphology with computational models of language processing. Key Research Areas: Mental lexicon, inflectional morphology, language complexity, psycholinguistics, computational modeling. His recent publications focus on discriminative learning models for lexical representation and computational analyses of Romance language morphology. Pirrelli has received prestigious awards, including the CNR 'blue skies' Research Award (2007) and a Stella Maris Foundation scholarship (1986). He has been an invited lecturer at institutions worldwide, such as Johns Hopkins University and the British Academy.

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Carme Torrasمشاهده پروفایل

استاد پژوهشی

Graz University of TechnologyAustria

Carme Torras is a Research Professor at the Spanish Council of Scientific Research (CSIC) since 1991, with a distinguished academic career spanning robotics, artificial intelligence, and neurocomputing. She holds a Ph.D. in Computer Science from Universitat Politècnica de Catalunya (UPC) and M.Sc. degrees in Mathematics and Computer Science from Universitat de Barcelona and the University of Massachusetts, respectively. Her research focuses on: Robotics (kinematics, motion planning, vision algorithms) Artificial Intelligence (machine learning, geometric reasoning) Neurocomputing (neural networks, computational biology) Computer Vision (pattern recognition, image processing) She has led major European projects like CLOTHILDE and SOFTENABLE, securing prestigious grants such as the ERC Advanced Grant. Her work bridges technical innovation with ethical discourse, including science fiction novels addressing robotics' societal impact. Scientific Awards and Honors: Narcís Monturiol Medal (2000) Fellow of IEEE, EurAI, and ELLIS (2019) Catalan and Spanish National Research Awards (2020) Robotics Professional Career Award (2022) She has supervised 20 PhD theses, with students achieving prominence in academia and industry, and served on editorial boards and conference committees globally. Her technology transfer includes patents and software for aerospace and robotics companies.

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