جست‌وجوی استاد و پژوهشگر

Rainer Mühlhoffمشاهده پروفایل

استاد

• Ethics of Artificial Intelligence
• Data Protection
• Critical Social Theory
• +۷ مورد دیگر

Rainer Mühlhoff is Professor of Ethics of Artificial Intelligence at the University of Osnabrück's Institute of Cognitive Science, with additional affiliation at the Weizenbaum Institute for the Networked Society in Berlin. He leads the Ethics and Critical Theories of Artificial Intelligence research group, focusing on the societal implications of digital technologies through interdisciplinary collaboration between philosophy, media studies, and computer science. His research spans critical analysis of AI's ethical dimensions, including data protection frameworks, predictive privacy violations, and the relationship between algorithmic systems and authoritarian tendencies. Key thematic areas include: Power dynamics in datafication and AI governance Intersectional discrimination in automated decision-making Collective privacy as a structural concern Historical parallels between digital fascism and 20th-century authoritarianism Educational strategies for digital literacy and critical engagement Mühlhoff's recent publications analyze how predictive algorithms enable new forms of population management through insurance discrimination, hiring practices, and immigration control. His work advocates for reimagined regulatory frameworks that address AI's structural power imbalances rather than merely technical fixes. Current research initiatives include the DFG-funded project Predictive Knowledge is Power (2025) examining collective privacy frameworks, and development of school curricula through the Data Ethics Outreach Lab (DEOL) which translates academic research into educational materials for critical digital literacy. Professional activities include regular appearances at major conferences (Chaos Communication Congress, re:publica), media commentary (Deutschlandfunk, ARD), and public engagement through book launches and radio discussions addressing AI's societal impacts.

Hamid D. Taghiradمشاهده پروفایل

استاد

• Robust Control
• Nonlinear Control
• Medical Robotics
• +۵ مورد دیگر

Hamid D. Taghirad is Professor and Director of the Advanced Robotics and Automated Systems (ARAS) laboratory in the Department of Systems and Control, Faculty of Electrical Engineering at K. N. Toosi University of Technology, Tehran, Iran. He concurrently serves as Visiting Professor at the University of Alberta. A senior IEEE member, he holds editorial roles in four robotics journals and has published 6 books and over 300 papers. Education: Ph.D. Electrical Engineering (McGill University, 1997) M.Sc. Mechanical Engineering - Mechatronics (McGill University, 1993) B.Sc. Mechanical Engineering (Sharif University of Technology, 1989) Research interests span: Robust/Nonlinear Control Systems Medical Robotics & Surgical Training Cable-Driven & Parallel Manipulators AI/VR for Medical Applications Industrial Automation & Inspection Robotics His ARAS lab developed the Kamalolmol® cable robot for artistic applications and commercial inspection tools. He received numerous awards including: Best Teaching Professor (2010, 2013, 2016) Research Award for Published Books (2014) PBEEE Quebec Visiting Scientist Award (2005) Prestigious McGill fellowships (Top 5% university-wide) He secured 15+ industrial grants (~$2M total) for projects like: Haptic eye surgery trainer ($255K) Pipeline inspection robots ($310K) Driverless car perception ($175K) Automatic casting systems ($320K) and has supervised ~200 graduate theses. He directs the ARAS lab focusing on cable robots, medical robotics, and industrial automation, with projects ranging from driverless vehicles to surgical training systems.

• Behavioral Economics
• Experimental Economics
• Matching Markets
• +۱ مورد دیگر

Rustamdjan Hakimov serves as an Associate Professor in the Department of Economics at the University of Lausanne since August 2022. His research bridges theoretical market design with empirical validation through behavioral and experimental economics, focusing on matching mechanisms in education and labor markets. His academic credentials include: Doctor of Economic Science, Technical University Berlin (2016; Dissertation: Three essays on behavioral market design; Summa cum laude) M.Sc. in Economics and Management Science, Humboldt University Berlin (2010) Diploma in Mathematical Methods and Operations Research, Kyrgyz-Russian Slavic University (2007) Professor Hakimov's work centers on understanding strategic behavior in matching systems through controlled experiments. He examines how market participants respond to institutional rules in school choice, college admissions, and appointment systems. His research demonstrates how seemingly minor design features—such as transparency mechanisms or information structures—significantly impact market outcomes, fairness, and efficiency. By combining game-theoretic modeling with experimental validation, he develops practical solutions for real-world allocation problems. His publication portfolio reveals consistent output in top-tier journals since 2015, with accelerating productivity after 2018. The research spans theoretical market design (e.g., iterative deferred acceptance mechanisms), behavioral investigations (e.g., self-confidence effects in matching), and field applications (e.g., charitable giving experiments in Kyrgyzstan). Recent work increasingly addresses contemporary challenges like algorithmic hiring systems and privacy concerns in personalized pricing.

Jorge Isaac Chairez-Oriaمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Neural Networks
• Robotic Control Systems
• +۴ مورد دیگر

Jorge Isaac Chairez-Oria is an Associate Professor in the Department of Biomedical Engineering at Tecnológico de Monterrey's School of Engineering, Campus Guadalajara. He maintains an active research program bridging biomedical engineering, neural networks, and robotic control systems with significant contributions to rehabilitation technology and sustainable manufacturing. His research focuses on neural network applications for system identification and control , particularly in constrained dynamical systems. His work spans medical rehabilitation robotics (including exoskeletons and orthotic devices), bioprinting and tissue engineering , and sustainable environmental technologies utilizing neural network approaches. Recent publications demonstrate strong interdisciplinary work connecting engineering principles with biological and medical applications. Analysis of his 2024-2025 publications reveals consistent focus on barrier Lyapunov functions, constrained state systems, and neural network identification methods applied across diverse domains from wastewater treatment to surgical robotics. His work shows particular strength in translating theoretical control concepts into practical biomedical applications. Scientific Recognition: Mexican Researcher Certification - Level 2 Dr. Chairez-Oria teaches courses in Biofluid Mechanics, Clinical Engineering, and Bioinstrumentation Systems design, integrating his research expertise into the classroom. His work aligns with multiple UN Sustainable Development Goals including Good Health and Well-being, Industry Innovation, and Clean Water and Sanitation.

• Social history of antiquity
• Roman society and power structures
• Cultural interactions and colonization
• +۵ مورد دیگر

Dr. Gary Morrison is a Senior Lecturer Above the Bar in the Department of Classics at the University of Canterbury's Faculty of Arts, where he has been teaching since July 2006. He holds a PhD in Classics from the University of Canterbury and specializes in social history of antiquity, with particular focus on Roman society, cultural interactions, and colonization in second century BCE Judaea. His educational background includes: PhD in Classics, University of Canterbury, Christchurch, New Zealand Dr. Morrison's research centers on two major strands: 'Allusions to Antiquity in the shaping of New Zealand's memory and identity' and 'The night in Antiquity.' His work explores how classical references influenced New Zealand's colonial development, particularly through WWI narratives and commemorations like the Bridge of Remembrance in Christchurch. His nocturnal research examines Roman power dynamics, urban spaces after dark, and the relationship between light and darkness in ancient societies. His teaching focuses on Roman history courses and Beginners' Ancient Greek language, where he brings his research expertise to create engaging learning environments. Dr. Morrison's publications reveal a consistent focus on Roman social history, with particular attention to nocturnal activities, classical reception in New Zealand, and the use of material evidence like coins to understand ancient societies. His work spans academic articles, public presentations, museum exhibitions, and media appearances, demonstrating his commitment to public engagement with classical studies. Among his professional activities, Dr. Morrison has served as President of PhiloLogie: 'Friends of the James Logie Memorial Collection' since 2015, and as Convener for the ASCS 44 Annual Conference of the Australasian Society for Classical Studies in 2023. He has reviewed for journals including the Journal of War and Culture Studies and Antichthon. Dr. Morrison actively supervises graduate students, with numerous Master's and PhD candidates working on diverse topics related to Roman history, law, gender, and material culture. His supervision portfolio includes projects on women's bodies in Roman law, prostitution in Suetonius, and urban Roman life. His museum work includes several exhibitions such as 'Myths and Mortals: Life in Ancient Times' (2020), 'Fantastic Feasts' (2019), and 'Beyond the Grave: Death in Ancient Times' (2018), demonstrating his commitment to public outreach and engagement with classical material culture.

• Reconfigurable Computing
• High-Performance Computing
• Field-Programmable Gate Arrays (FPGAs)
• +۳ مورد دیگر

Carl-Johannes Johnsen is a Ph.D. student and Guest Researcher in the Department of Computer Science at the University of Copenhagen, specializing in reconfigurable computing and machine learning acceleration for X-ray food inspection systems. His research integrates FPGA-based hardware acceleration with compiler design for high-performance computing, focusing on programming models for Field-Programmable Gate Arrays and optimization of machine learning pipelines. Additional interests include concurrent and distributed programming education methodologies that prioritize conceptual understanding over formal proofs. Publication analysis (2019-2022) reveals consistent contributions to FPGA acceleration of scientific workloads (molecular dynamics), novel compiler vectorization techniques, and minimalist hardware implementations. His work bridges computer architecture, parallel computing, and practical applications in food safety inspection through cross-disciplinary collaboration. No scientific awards were documented in the source material. As an active doctoral candidate, Johnsen has no advisory responsibilities. Research grant details were not specified in the provided information. He operates within the Programming Languages and Theory of Computation research environment at the Department of Computer Science, engaging in international collaborations focused on hardware-software co-design as indicated by network analysis metrics.