جست‌وجوی استاد و پژوهشگر

• Antitrust Law
• Competition Law
• Artificial Intelligence Law
• +۴ مورد دیگر

Stefan Thomas is a Professor at the Law Faculty of Eberhard Karls University Tübingen, Germany, holding the Chair in Private Law, Commercial Law, Competition and Insurance Law since 2009. He serves as Director of both the CZS Institute for Artificial Intelligence and Law and the Tübingen Research Institute on the Determinants of Economic Activity (TRIDEA). His academic career includes being a fully qualified German lawyer with a Dr. iur. summa cum laude from Johannes Gutenberg University Mainz (2004), followed by work as an attorney at an international law firm in Düsseldorf (2004-2006) before transitioning to academia. Thomas's research focuses on the intersection of competition law with emerging technological and societal challenges, particularly examining how competition serves as a design principle for market economies that align with societal values. His work explores antitrust law in the context of artificial intelligence, sustainability considerations, platform economics, and the evolving consumer welfare standard. He has developed a distinctive perspective on how competition law must balance its power to foster growth with recognition of its limitations in addressing all societal problems. His research demonstrates a clear trajectory from traditional competition law topics toward the integration of sustainability considerations, digital market challenges, and the philosophical foundations of competition policy. Thomas frequently collaborates with economist Roman Inderst, producing influential work on sustainability in competition law, algorithmic pricing, and the welfare implications of antitrust enforcement. His publications span leading journals in competition law, economics, and interdisciplinary scholarship. Among his notable recognitions are the 2021 Antitrust Writing Awards for his work on merger control and the 2005 Prize of the Peregrinus Stiftung for his dissertation on antitrust successor-liability. Thomas is actively engaged in shaping competition policy discourse through his roles as co-editor of the Zeitschrift für Wettbewerbsrecht (ZWeR) and other academic journals, as well as through his membership in the Academic Society for Competition Law (ASCOLA) and other professional organizations. His current work shows increasing focus on the integration of sustainability goals within competition law frameworks, the challenges posed by algorithmic pricing and AI to traditional competition concepts, and the philosophical underpinnings of competition as a societal value. Thomas maintains an active scholarly presence through publications, conference participation, and engagement with policy debates in European competition law.

Mehmet Alperمشاهده پروفایل

استاد مهمان

• Internet of Things
• Cybersecurity
• Signal Processing
• +۴ مورد دیگر

Mehmet Alper holds the following academic positions: Visiting Professor at Beibu Gulf University (BGU) Former Assistant Professor in Internet of Things at EMU-Beibu Gulf Joint College (July 2024 – July 2025) Former Postdoctoral Engineer in Cybersecurity at Eastern Michigan University (July 2023 – July 2024) Former R&D Engineer at Warren Tech Center, Detroit (July 2022 – July 2023) His educational background includes: PhD in Electrical & Computer Engineering, Michigan State University, East Lansing, MI, 2022 Alper's research integrates Internet of Things, Cybersecurity, and Biomedical Engineering through advanced signal processing and computer vision techniques. His work on tremor detection systems and pose estimation algorithms demonstrates practical applications in neurological disorder assessment, while his materials science research on nanocomposite diodes bridges electronic hardware development. This interdisciplinary approach uniquely connects hardware engineering with medical diagnostics. Analysis of his 2017-2020 publications reveals a consistent focus on biomedical signal processing—particularly tremor quantification via optical flow fusion—and electromagnetic methods for subsurface imaging. The trajectory shifts from materials-focused diode research (2018) toward AI-driven motion analysis (2020), indicating evolving expertise from hardware characterization to real-time biomedical software solutions with applications in remote healthcare monitoring.

María Francisca Rosique Contrerasمشاهده پروفایل

استاد

• Autonomous Driving
• Computer Vision
• Digital Inclusion
• +۳ مورد دیگر

María Francisca Rosique Contreras serves as a Full Professor at the Polytechnic University of Cartagena, driving interdisciplinary research at the nexus of autonomous systems, agricultural technology, and rural development. Her work bridges technical innovation with societal impact through concrete applications in transportation, farming, and digital inclusion initiatives. Her research portfolio demonstrates three converging trajectories: (1) Pioneering autonomous driving systems using end-to-end deep neural networks for real-world vehicle control; (2) Advancing computer vision applications for agricultural challenges like grape berry segmentation under variable lighting; and (3) Leading rural development projects addressing digital isolation in Spain while empowering women through green entrepreneurship programs. These interconnected domains reflect her commitment to solving practical problems through technological innovation. Analysis of her 68 publications (2007-2025) reveals consistent growth in AI-driven solutions, with recent work emphasizing practical deployment in autonomous vehicles and agricultural imaging. Her scholarly output shows increasing focus on societal applications, particularly in bridging the digital divide and creating sustainable economic opportunities for rural communities. Professor Rosique Contreras actively mentors graduate students as evidenced by thesis supervision records and secures research funding for projects spanning autonomous vehicle development and rural empowerment initiatives. Her educational innovation work includes the VR360 UPCT project, demonstrating commitment to transforming teaching methodologies through immersive technologies.

Mehdi Delrobaeiمشاهده پروفایل

استادیار

• Biomechatronics
• Parkinson's Disease Monitoring
• Spatial Navigation Assessment
• +۵ مورد دیگر

Mehdi Delrobaei serves as an Assistant Professor in the Mechatronics Engineering Department within the Faculty of Electrical Engineering at K. N. Toosi University of Technology. He leads the Biomechatronic Systems Research Group, directing a comprehensive research program focused on the intersection of biomechanics, artificial intelligence, and healthcare technology. His laboratory maintains active collaborations across multiple disciplines and has established itself as a significant research hub in Iran for cognitive health technologies. Dr. Delrobaei's research focuses on developing innovative biomechatronic solutions for cognitive health assessment and management. His primary areas include Parkinson's disease monitoring systems, spatial navigation evaluation using movement patterns, executive attention assessment through motion analysis, and decision-making analysis using eye tracking. His work uniquely integrates AI algorithms with biomechanical analysis to create accessible assessment tools that can replace costly equipment like EEG and dedicated eye-trackers with standard camera-based analysis. This approach addresses environmental challenges like lighting variations and camera angles while maintaining clinical validity. The research output demonstrates a clear trend toward practical clinical applications of engineering solutions, with publications spanning healthcare AI, neuroimaging, biomechanics, and cybersecurity for medical devices. His team has developed numerous algorithms for cognitive assessment, medication management systems for movement disorders, and secure healthcare data solutions using blockchain technology. Dr. Delrobaei actively supervises a substantial research group with approximately 10 current students across various academic levels, including Ph.D., M.Sc., and B.Sc. candidates. His advising approach appears to focus on interdisciplinary projects that combine engineering expertise with clinical applications, providing students with opportunities to work on meaningful healthcare challenges. The consistent stream of publications and growing student cohort indicate active research funding supporting the laboratory's operations. The Biomechatronic Systems Research Group operates from the Mechatronics Laboratory at K. N. Toosi University of Technology, with facilities including the Library Building on the first floor. The lab maintains a strong focus on translating engineering solutions into practical healthcare applications, particularly in the areas of movement disorders and cognitive assessment. The research environment emphasizes collaboration between engineering students and clinical researchers to ensure both technical innovation and clinical relevance of developed solutions.

Monte Meyerinkمشاهده پروفایل

استادیار

• Mathematics Education
• Teacher Preparation
• STEM Education
• +۳ مورد دیگر

Monte Meyerink serves as Assistant Professor of Mathematics Education at Northern State University since 2022, concurrently directing the NSU Math Clinic. His instructional portfolio spans undergraduate mathematics education courses (MATH 341/342, ELED 330/495), education foundations (EDFN 102/440/475), and graduate research methodology (EDER 761), drawing from 12+ years of classroom experience across grades 5-16. Education: Ph.D., Montana State University M.S.Ed., Northern State University B.S.Ed., Northern State University Dr. Meyerink's research program centers on mathematics teacher preparation, with emphases on technology integration in K-8 mathematics instruction, problem-based digital lesson design, and cross-cultural comparisons of mathematical thinking. His investigations examine how pre-service teachers develop technological pedagogical content knowledge and implement interactive learning environments, while extending to rural educational contexts through studies on STEM enrollment patterns and administrator stress. Recent publications (2019-2023) reveal consistent focus on practical applications for teacher education programs, featuring collaborations with international researchers and statewide data analyses. The work demonstrates methodological diversity through qualitative examinations of teacher perspectives, cross-national comparative studies, and quantitative analyses of educational pathways. Scientific Awards: No awards documented in source materials As Director of the NSU Math Clinic, Dr. Meyerink oversees mathematics support services and community outreach initiatives. While specific grant funding and student advising relationships aren't detailed in the text, his clinic leadership implies active supervision of undergraduate tutors and development of mathematics pedagogy resources. The clinic serves as a practical training ground for pre-service teachers in mathematics intervention strategies. The NSU Math Clinic operates as an interdisciplinary hub involving mathematics education faculty and undergraduate students, providing diagnostic assessments, targeted tutoring, and curriculum development support for K-12 schools across northern South Dakota.

• Civil Law
• Digitalization Law
• Commercial Law
• +۶ مورد دیگر

Professor Dimitrios Linardatos holds the Chair of Civil Law, Digital Law and Commercial Law at Saarland University's Faculty of Law. He is actively engaged in teaching, research, and publication in his specialized fields, with a particular focus on the intersection of traditional legal frameworks and emerging digital technologies. His research interests span Civil Law, Digitalization Law, and Commercial Law, with special expertise in Crypto Regulation, Payment Services, Crowdfunding, Banking Contract Law, and Legal Tech. Professor Linardatos has made significant contributions to understanding how traditional legal concepts apply to modern digital financial systems and platforms. Professor Linardatos has published extensively on contemporary legal issues, with a particular emphasis on the regulation of digital assets, payment services, and crowdfunding platforms. His work demonstrates a strong trend toward addressing the legal challenges posed by rapidly evolving financial technologies and digital platforms, bridging traditional civil law concepts with modern regulatory frameworks. His publications reveal a consistent focus on practical applications of law in emerging technological contexts, with particular attention to consumer protection, regulatory compliance, and the adaptation of traditional legal principles to digital environments. Professor Linardatos is actively involved in exam preparation for civil law students, providing guidance on effective learning strategies and structured preparation for the First State Examination. He has developed specific learning recommendations emphasizing active learning, detailed study of legal wording, and systematic review of foundational knowledge.

• Materials Science
• Applied Mathematics
• Partial Differential Equations
• +۵ مورد دیگر

Pierluigi Cesana is a Professor conducting research at the intersection of Materials Science and Applied Mathematics. His work centers on mathematical analysis of singular equations and ill-posed optimization problems, with applications in elasticity theory and materials science, while integrating analytical methods with Artificial Intelligence techniques. His primary research areas include: Mathematical analysis of Partial Differential Equations (PDEs) and Boundary Value Problems with highly oscillating solutions Calculus of Variations, relaxation, and Gamma-convergence for material behavior modeling Integration of variational analysis with AI methods (machine learning, neural networks, genetic algorithms) Micro- and nano-scale instabilities in multifunctional materials influencing macroscopic engineering systems Recent extensions to financial mathematics and blockchain technology using probability and statistics Cesana leads a research lab addressing complex multi-physics phenomena, such as optimizing ring-opening reaction rates in nanoswitches through combined quantum mechanics and thermodynamics frameworks. His theoretical work examines pattern formation and topological defects in soft crystals and shape-memory alloys. No scientific awards were mentioned in the source text. Details about student advising, grants, or specific laboratory teams were not provided.