Piotr Burnos serves as a Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His office is located in room 211 of building B-1 (second floor), with contact details including telephone +48 12 617 28 27 and email burnos@agh.edu.pl. Burnos specializes in Weigh-in-Motion (WIM) technology for vehicle enforcement, focusing on sensor accuracy under real-world conditions including temperature fluctuations and pavement mechanics. His research addresses critical challenges in dynamic vehicle weighing systems, particularly for administrative enforcement applications where measurement precision directly impacts road infrastructure protection and legal compliance. Key contributions include thermal error compensation, multi-sensor fusion, and Polish implementation frameworks. Analysis of his 15 most recent publications (2015-2018) reveals consistent advancement in WIM system reliability through temperature modeling, pavement interaction studies, and administrative integration. His work bridges metrological precision with practical enforcement needs, emphasizing Polish regulatory contexts while contributing to broader transportation engineering knowledge. No scientific awards were documented in the source materials. While specific student advisement or grant information isn't provided in available sources, Burnos' research demonstrates sustained focus on applied transportation engineering problems with direct societal impact through infrastructure protection and regulatory enforcement.
Professor Christoph Arns is a full Professor at the University of New South Wales (UNSW) School of Engineering, specializing in Mineral and Energy Resources Engineering. He has been at UNSW since 2008 and has held the position of full Professor since 2014. Currently, he leads the Geoenergy and Geostorage discipline within the school. Prior to joining UNSW, he was a research fellow at the Australian National University from 2001-2008. Professor Arns obtained his Dipl. Phys. from RWTH Aachen, Germany in 1996 and his PhD in Petroleum Engineering from UNSW Sydney in 2002. His academic background combines physics and petroleum engineering, creating a unique interdisciplinary perspective for his research. His primary research focus is on Digital Rock Physics, where he has pioneered computational pore-scale physics based on tomographic images. He specializes in integrating 3D tomographic imaging technology with NMR techniques for petrophysical applications, with particular emphasis on heterogeneity analysis. His work spans multiple sub-disciplines including pore-scale modeling, digital core analysis, rock physics, reservoir characterization, and Minkowski functionals for structural analysis. Professor Arns has developed the MPI-parallel software package 'morphy' for computational physics operating on segmented tomographic images, which includes sophisticated NMR response modeling, electrical property calculations, permeability estimation, elastic moduli determination, and morphological property analysis. His research has substantial industry relevance, as evidenced by his role as a founding member of Digital Core Pty Ltd, an ANU/UNSW spin-off that was sold to FEI for $76 million in 2014 and is now part of ThermoFisher. He has received significant research support through three successive Australian Research Council (ARC) fellowships. His scholarly contributions are reflected in numerous publications spanning from 2000 to 2025, with recent work focusing on advanced computational methods, machine learning applications in rock physics, and detailed analysis of fluid-rock interactions at the pore scale. Professor Arns maintains active leadership roles in multiple professional societies including Interpore (lifetime member, former council chair 2016-2019), Society of Core Analysts (Australasia Regional Director since 2016), Society of Petrophysicists & Well Log Analysts, Society of Exploration Geophysicists, and Society of Petroleum Engineers.
Prof. Mag. Dr. Ewald Jarz is a Professor of Computer Science at the University of Applied Sciences Rosenheim, Germany. His work bridges business administration and information technology, focusing on software engineering, e-learning, and IT solutions for SMEs. He has held leadership roles such as Chairman of the Examination Board for Business Informatics and contributed to IT service management and business process engineering. Academic Affiliation: University of Applied Sciences Rosenheim Department: Computer Science Leadership Roles: Chairman of the Examination Board for Business Informatics Jarz's research spans multimedia learning systems , business process engineering , and IT solutions for SMEs . His work emphasizes practical applications in education and industry, including case studies and ITIL process documentation. His publications (1995–2008) focus on information technology , educational multimedia , and business informatics , with recurring themes in IT service management and SMEs. Notable trends include the integration of multimedia in education and the evolution of IT governance frameworks. Scientific Awards: Dr. Otto Seibert Prize (1996) Marquis WHO's WHO inclusions (1996–1999) City of Innsbruck Research Prize (1997)
Prof. Dr. Simon Nestler is a Professor for Human-Computer Interaction at Technische Hochschule Ingolstadt (THI) since 2019, previously at Hochschule Hamm-Lippstadt (HSHL) (2011-2019). He holds a Diploma in Computer Science and a Ph.D. in Human-Computer Interaction from Technische Universität München (TUM) and International Graduate School of Science and Engineering (IGSSE) , supervised by Prof. Gudrun Klinker . Educated: TUM (Diploma), IGSSE (Ph.D.) Affiliations: THI (2019-present), HSHL (2011-2019), Intraworlds (User Experience Engineer) Research Interests focus on applying HCI principles to safety-critical systems , particularly in emergency scenarios . He designs interfaces for car drivers , disaster response teams , and crisis management , addressing challenges like mental workload , collaborative problem-solving , and RFID patient tracking . His work includes developing virtual reality crisis simulations and mobile disaster apps . Teaching includes courses like Masterpraktikum GAMES and FAR Oberseminar . He also offers digital accessibility training , UX workshops , and keynotes on digitalization through his Prof. Nestler Akademie , which has trained 5000+ learners and delivered 100+ corporate trainings .
Karl Meinke is a Professor at KTH Royal Institute of Technology, where he serves as Head of the Computer Science Department and Head of the Division of Theoretical Computer Science within the School of Electrical Engineering and Computer Science. His research focuses on applying machine learning techniques to software testing, particularly for safety-critical systems like autonomous vehicles and embedded systems. His research interests span machine learning, software testing, safety critical systems, embedded systems, autonomous driving, digital pathology, and graph neural networks. Meinke has developed innovative approaches like Learning-Based Testing that combine machine learning with formal methods for system validation. His work bridges theoretical computer science with practical applications in automotive systems and medical diagnostics. His recent publications show a strong trend toward applying graph neural networks to diverse domains including program analysis, digital pathology, and autonomous vehicle testing. His research demonstrates a consistent focus on solving the test oracle problem and generating meaningful test cases for complex systems where traditional testing approaches fall short. Meinke actively collaborates with Karolinska Institutet (KI), indicating interdisciplinary work between computer science and medical research. He is responsible for Masters level education in software testing at KTH and serves as examiner for several advanced courses including Degree Projects in Computer Science and Software Reliability. His research group has developed tools like LBTest for learning-based testing of reactive systems, and he has secured funding for projects such as the ITEA3 Testomat Project focused on next-level test automation. His work has significant implications for validating autonomous systems where safety is paramount. Meinke leads research in using machine learning to address fundamental challenges in software testing, particularly for systems where traditional test oracles are unavailable or impractical. His approach of combining active learning with formal specifications has created new pathways for validating complex cyber-physical systems.
Giampiero Iaffaldano serves as Associate Professor in Solid Earth Geophysics at the Department of Geosciences and Natural Resource Management within the Faculty of Science at the University of Copenhagen, Denmark. He has held this position since June 2015, following a tenured Assistant Professor role at the Australian National University's Research School of Earth Sciences (2010-2015) and a Reginald A. Daly Postdoctoral Fellowship at Harvard University (2008-2010). His academic journey reflects an international career spanning European, North American, and Australian institutions. His educational credentials include: PhD in Natural Sciences - Geophysics (summa cum laude), Ludwig–Maximilians University Munich, Germany (2007) MSc in Physics (summa cum laude), University of Rome "La Sapienza", Italy (2003) Iaffaldano specializes in observational geodynamics, developing computational models constrained by geological and geophysical observations to understand forces controlling the coupled lithosphere-mantle system. His research integrates forward and inverse modeling approaches with empirical data to address fundamental questions about Earth's dynamic processes across spatial and temporal scales. His work bridges theoretical geophysics with practical applications in hazard assessment and resource management. His recent publication record (2023-2025) reveals a strong thematic focus on plate boundary dynamics, mantle plume influences on plate motions, and earthquake cycle processes. His research spans global to regional scales with particular emphasis on the North Atlantic region (Icelandic plume effects), South American plate boundaries, and microplate systems in Asia and Europe. The consistent presence of high-impact journals like Earth and Planetary Science Letters and Geophysical Journal International demonstrates his standing in the geophysics community. Among his significant scientific recognitions: Elected member of the Young Academy of Europe (2017) Ringwood Fellowship at Australian National University (2010) Reginald A. Daly Postdoctoral Fellowship at Harvard University (2007) Elite Netzwerk PhD scholarship of the Bavarian Government (2005) Professor Iaffaldano has secured approximately DKK 14,000,000 in research funding from major international sources including the Independent Research Fund Denmark, Villum Foundation, National Science Foundation (USA), and Australian Research Council. He chairs the steering committee for DanSeis – Danish National Center for Seismic Instrumentation. His teaching portfolio includes Geodynamics (MSc), Quantitative Problem-Solving in Geosciences (BSc), and specialized PhD courses on plate kinematics. He serves as Associate Editor for Geosphere and has reviewed for premier journals including Nature, Science, and Journal of Geophysical Research. His extensive international collaborations with institutions in Denmark, Australia, USA, Chile, and Europe reflect the global nature of contemporary geophysical research and his leadership in the field.
Aleksandar Borković is a Researcher at the Institute of Structural Mechanics , Graz University of Technology. His work focuses on advanced computational methods in structural engineering, particularly isogeometric analysis, finite strip modeling, and van der Waals interactions in slender structures. Department: Institute of Structural Mechanics Email: aborkovic@tugraz.at His research bridges theoretical mechanics and practical engineering applications, addressing nonlinear dynamics, contact mechanics, and geometrically exact formulations. Recent publications highlight innovative approaches to modeling molecular interactions in fiber systems and optimizing computational efficiency for structural simulations. The 15 most recent articles demonstrate expertise in: Van der Waals attraction in curved beams Geometrically exact isogeometric formulations Finite strip method for stiffened plates Contact dynamics in beam-to-beam interactions Nonlinear stability analysis of thin-walled structures Moving load simulations in spatial beams He has also contributed to educational software development for structural analysis, emphasizing real-time visualization and numerical accuracy.
Professor Igor Rubenovich Agamirzyan is a distinguished academic and administrator at the National Research University Higher School of Economics (HSE), holding professorial positions across multiple departments. He serves as Professor at the Faculty of Computer Science/Department of Software Engineering, Professor at the Moscow Institute of Electronics and Mathematics named after A.N. Tikhonov/Department of Electronic Engineering, and Professor at the School of Innovation and Entrepreneurship. Additionally, he is the Scientific Director of the educational program "Internet of Things and Cyber-Physical Systems." With 28 years of scientific and teaching experience, Professor Agamirzyan has been contributing to HSE since 2016, following a distinguished career in both academia and the technology industry. Professor Agamirzyan's educational background includes: 1986: Candidate of Physical and Mathematical Sciences 1979: Graduated from Leningrad State University named after A.A. Zhdanov with specialty in "Applied Mathematics," qualification as "Mathematician. Teacher" His professional development continues with recent advanced training: 2025: "Modernization of educational programs in software engineering in the context of scientific and technological development of Russia," HSE University 2024: "Problems of training modern specialists in software engineering," Faculty of Computer Science, HSE 2021: "Features of the organization of the educational process at HSE," National Research University Higher School of Economics Professor Agamirzyan's research spans multiple domains at the intersection of technology, innovation, and entrepreneurship. His work focuses on cyber-physical systems, Internet of Things (IoT), digital transformation, and the management of innovation. He has made significant contributions to understanding how technological advancements shape urban environments, business models, and educational approaches. His research often bridges theoretical frameworks with practical applications, emphasizing the importance of integrating technological capabilities with market needs and policy frameworks. His recent publications demonstrate a clear progression from foundational work in programming and software engineering to contemporary research on digital transformation, innovation ecosystems, and cyber-physical systems. The trajectory of his scholarly output reflects the evolution of information technology from standalone systems to interconnected networks and intelligent environments. His work increasingly addresses the societal implications of technological change, particularly in urban contexts and educational settings. Professor Agamirzyan has received numerous prestigious awards and recognitions: HSE University Honorary Diploma (March 2024) Gratitude from the Ministry of Education and Science of Russia (August 2023) Letter of thanks from the Vice-Rector of HSE (January 2023) HSE University Honorary Diploma (March 2022) Gratitude from the Director of the Roscongress Foundation (June 2019) Honorary Diploma of HSE (March 2017) Certificate of Honor of the Ministry of Economic Development of the Russian Federation (March 2012) Gratitude from the Government of the Russian Federation (2011) Gratitude from the President of the Republic of Tatarstan (December 2014) Throughout his career, Professor Agamirzyan has played significant leadership roles in academic administration and innovation management. As Vice-President of HSE from July 2016 to June 2023, he was responsible for developing the university's innovation ecosystem strategy, building relationships with technology businesses, and creating feedback mechanisms with employers to adjust graduate requirements. Prior to this, he served as General Director and Chairman of the Board of JSC "Russian Venture Company" from April 2009 to June 2016. His extensive industry experience, including leadership roles at Microsoft and EMC, informs his approach to academic-industry collaboration and innovation management education. Professor Agamirzyan has been instrumental in developing HSE's innovation infrastructure, including project-based learning initiatives and startup support programs. He has contributed to the establishment of the School of Innovation and Entrepreneurship, which evolved from the Department of Innovation Management founded in 2009. His leadership has helped position HSE as a leader among entrepreneurial universities in Russia, with the university ranking first in the Expert Analytical Center's entrepreneurial university rankings.
Assoc. Prof. Dr. Hüseyin Üzen serves as a faculty member in the Department of Computer Engineering at Bingöl University's Vocational School of Information Technologies. His research bridges artificial intelligence with practical applications in healthcare diagnostics and industrial automation, contributing to Bingöl University's mission of regional development through technological innovation. Education: PhD in Computer Engineering, İnönü University (2022) Master's in Computer Engineering, İnönü University (2018) Bachelor's in Computer Engineering, Süleyman Demirel University (2015) His research program centers on deep learning innovation for real-world problems, particularly in medical image analysis (retinal diseases, dental diagnostics, cancer detection) and industrial computer vision (surface defect detection, traffic monitoring). By developing specialized architectures like Swin-MFINet and DentifyNet, he addresses critical gaps in accuracy and efficiency for clinical decision support systems. Analysis of his 15 most recent publications reveals a dominant focus on hybrid neural network designs (73%), with 60% targeting medical applications and 40% industrial use cases. Key technical trends include attention mechanism integration (87% of papers), transformer-convolutional hybrids (73%), and multi-scale feature processing (67%). Research Funding: TÜBİTAK 1001 Project: Deep Learning-Based Lung Lesion Analysis in CT Images (Principal Investigator, 2025-2027) TÜBİTAK 1001 Project: Wilson's Disease Diagnosis from Brain MRI (Researcher, 2025-2027) Higher Education Council Project: Dental Image Analysis via Deep Learning (Researcher, 2024-2026) TÜBİTAK 1001 Project: SAR-Based Ship Detection (Researcher, 2023-2025) His research group operates at the intersection of computer vision and domain-specific applications, with current projects generating novel datasets in dental radiography, OCT imaging, and industrial defect cataloging. Students participate in end-to-end research from algorithm development to clinical/industrial validation, preparing them for careers in AI-driven healthcare technology and smart manufacturing systems.
Pierre-Antoine Thouvenin is an Assistant Professor at Centrale Lille, a prestigious engineering school within the University of Lille community in France. He is a member of the SigMA team from the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille), where he conducts research on inverse problems with applications to remote sensing and astronomy. His academic journey began with an Engineering degree in Electronics and Signal Processing from INP - ENSEEIHT Toulouse in 2014, followed by a Master of Science in "Signal, Image, Acoustics" from the same institution. He completed his Ph.D. in "Signal, Image, Acoustics" from Institut National Polytechnique de Toulouse between 2014 and 2017, with research focused on modeling spatial and temporal variabilities in hyperspectral image unmixing. Thouvenin's research interests span several interconnected areas in signal processing and computational imaging. His primary focus is on solving inverse problems, particularly in the context of radio-interferometric imaging for astronomy and hyperspectral image unmixing for remote sensing applications. He has made significant contributions to developing advanced algorithms for handling spectral variability in hyperspectral data and for image reconstruction in radio astronomy. His work often combines Bayesian statistical methods with optimization techniques to address challenging high-dimensional problems. A distinctive aspect of his research is the development of distributed and parallel computational methods that enable processing of extremely large datasets that would be intractable with conventional approaches. An analysis of his recent publications reveals a strong trend toward developing distributed and parallel computational methods for large-scale inverse problems. His work increasingly integrates machine learning approaches, particularly neural networks, with traditional signal processing techniques. There's a clear progression from theoretical developments in hyperspectral unmixing to practical applications in astronomy, particularly through his involvement in the ORION-B project where he applies statistical methods to infer physical conditions in star-forming regions. His most recent work demonstrates sophisticated integration of spatial regularization techniques with Bayesian inference for astrophysical parameter estimation. Prix Léopold Escande from Institut National Polytechnique de Toulouse (2017) - awarded to the best PhD theses defended at INPT Prix de l'Institut National Polytechnique de Toulouse (2014) - awarded for outstanding academic achievement during engineering studies Thouvenin is actively involved in mentoring the next generation of researchers. He currently co-supervises the PhD thesis of Pierre Palud on "Statistical methods for model inversion and spatial distribution of physico-chemical properties of the molecular cloud Orion B" as part of the CNRS 80|Prime project OrionStat. His research is supported through various academic collaborations and projects, including the ORION-B project led by Jérôme Pety, which involves molecular line observations from the IRAM-30m Large Program. He has established productive international collaborations, particularly with researchers at Heriot-Watt University in Edinburgh where he worked as a Research Associate from 2017-2019. Thouvenin is a key member of the SigMA team within the CRIStAL laboratory, a joint research unit between Centrale Lille, INRIA, and University of Lille. His work often intersects with the ORION-B project, where he collaborates with astrophysicists to develop statistical methods for inferring properties of Galactic and extra-galactic star forming regions. This interdisciplinary environment fosters innovation at the intersection of signal processing, statistics, and astronomy. He has developed expertise in translating complex statistical methodologies into practical computational tools that address real-world challenges in both remote sensing and astronomical imaging.
Dr Milorad Cerovac serves as a Lecturer in Pedagogy and Education Futures within the School of Education at La Trobe University, Australia. With a background as a registered teacher across Mathematics, Physics, Software Development and Systems Engineering, he bridges industry experience with academic work to develop authentic problem-based learning approaches for pre-service and in-service teachers. His educational background includes: Doctor of Philosophy (Education), Swinburne University of Technology Master of Science (Astronomy), Swinburne University of Technology Graduate Diploma of Education (Secondary), Monash University Bachelor of Science (Honours), Monash University Registered Teacher certification (Victorian Institute of Teaching, 2004-present) Cerovac's research focuses on cognitive development in technology education, particularly examining how students' abstraction and spatial reasoning abilities progress with age within Technologies curricula. His work extends to gender disparity in STEM fields, inquiry-based learning methodologies, and the integration of artificial intelligence in classroom settings. He actively contributes to national curriculum development through his work with the Victorian Curriculum and Assessment Authority on Digital Technologies and Applied Computing frameworks. Analysis of his 15 most recent publications reveals strong emphasis on gender-inclusive technology education, spatial reasoning development, and practical implementation of computational thinking across K-12 settings. His work consistently connects cognitive theory with classroom application, particularly through robotics programs and problem-based learning frameworks. Cerovac directs significant professional development efforts, having presented numerous workshops for educators on Digital Technologies, Design and Technologies, and Physics both nationally and internationally. His research program includes the current Managing the double-edged sword project funded through the Award for Inclusion Research Program (2023-2024), which investigates generative AI frameworks for female inclusion in K-16 schools. As co-founder and lead mentor of the RoboCats (a school-girl-only robotics team participating in FIRST Robotics Competition from 2014-2020), he maintains active involvement with the FIRST LEGO League program in Victoria. His 17-year prior career as a Software Developer and Database Specialist informs his emphasis on real-world problem-based learning activities shared with teacher education students.
Sven Bertel is a Professor at Flensburg University of Applied Sciences in the Faculty of Information and Communication, where he leads the CIVU – Center for Interaction, Visualization and Usability. His research focuses on Human-Computer Interaction, particularly in usability engineering, spatial cognition, and educational technology applications. Professor Bertel's research interests span several interconnected domains. His primary focus is on spatial cognition and mental rotation, where he investigates how people solve spatial problems and how these abilities can be trained through technology. A significant portion of his work applies these principles to medical ultrasound training through the development of SonoGame, a serious game designed to improve visuospatial skills for medical professionals. He also explores digital competencies development, particularly how user-centered software development can be integrated into educational contexts to prepare students for a digital world. His publication trends reveal a consistent focus on spatial abilities and educational technology since 2017, with recent work (2021-2024) increasingly emphasizing medical applications of spatial cognition research. His collaborations span multiple disciplines, particularly with medical researchers in ultrasound imaging and educators working on digital transformation in teaching. Professor Bertel is actively involved in several research projects related to digital competencies and medical training technologies. His leadership of the CIVU center indicates his role in coordinating interdisciplinary research efforts focused on interaction design, visualization techniques, and usability engineering. His teaching responsibilities include courses in the Applied Informatics program, with a specific focus on usability engineering. Through his work, he bridges theoretical research in spatial cognition with practical applications in medical training and educational technology.
