جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Robotics
• Control Systems
• +۳ مورد دیگر

Jan Steinbrener is an Associate Professor at the University of Klagenfurt's Institute for Intelligent System Technologies and serves as Vice Rector for Research and International Affairs, leading the Research Council. His roles include overseeing research strategy, international collaborations, and faculty research activities. Research Interests: Steinbrener focuses on robotics, artificial intelligence, and autonomous systems. His work emphasizes sensor systems, UAV navigation, and embedded AI applications. Projects include drone-based wind turbine inspection and AI-driven control systems for industrial robotics. Grants & Projects: He leads initiatives funded by the Austrian Research Promotion Agency (FFG), including 'Wind Turbine Blade Inspection Using Multimedia Drones' and 'Embedded AI - Shaping the Future of Power Electronics.' Collaborative projects with Carinthian Economic Development Fund and Infineon Technologies highlight his industry-academia partnerships. Academic Contributions: Steinbrener's research spans robotics, control systems, and sensor technology. Key publications include studies on UAV navigation algorithms, light-field imaging, and reinforcement learning applications in robotics.

Paul Allenمشاهده پروفایل

استاد

• Railway Engineering
• Vehicle Dynamics
• Condition Monitoring
• +۳ مورد دیگر

Academic Profile Paul Allen is Professor and Director of the Institute of Railway Research at the University of Huddersfield's School of Computing and Engineering. He serves as Associate Dean (RIKE) and leads research in railway dynamics and safety. With a PhD in contact mechanics from Manchester Metropolitan University, he has expanded the Institute of Railway Research from 9 to 30+ staff with £3m annual expenditure. Research Focus His work centers on railway systems optimization, including wheel-rail contact mechanics, braking systems, condition monitoring, and vehicle dynamics. He developed the £2.5m HAROLD test facility and secured over £10m in research funding, including the £22m Centre for Innovation in Rail project that created 50+ industry jobs. Publications Recent articles (2022-2025) focus on high-speed train dynamics, fault detection algorithms, composite materials in bogie frames, and machine learning applications in railway maintenance. Research consistently addresses wear analysis, structural integrity, and predictive maintenance methodologies. Honors & Leadership Fellow of the Institute of Mechanical Engineers Fellow of the Chartered Management Institute Advisor to HS2, Network Rail, and Department for Transport BBC commentator and industry press contributor Academic Activities Leads PhD supervision in railway engineering and serves on editorial boards for international conferences. His research group collaborates globally with rail industry partners including Alstom and Unipart Rail.

Rodoljub Vujanacمشاهده پروفایل

استاد

• Mechanical Engineering
• Machine Structures
• Material Handling Systems
• +۴ مورد دیگر

Rodoljub Vujanac is a Full Professor at the Department for Mechanical Constructions and Mechanization, Faculty of Engineering, University of Kragujevac, Serbia. With extensive experience in mechanical engineering, particularly in machine structures and mechanization, he contributes significantly to both academic teaching and research in the field of material handling systems, structural analysis, and mechanical design. Professor Vujanac's research interests span a wide range of mechanical engineering topics, with particular focus on: Design and analysis of material handling systems and warehouse equipment Structural analysis of mechanical components and systems Machine structures and mechanization Cranes and lifting equipment Wear behavior of materials and composites Finite element method applications in mechanical engineering His recent scholarly work demonstrates a strong emphasis on practical engineering applications, particularly in warehouse systems, material handling equipment, and structural analysis of mechanical components. The research shows consistent application of both analytical and numerical methods to solve complex engineering problems, with increasing focus on optimization techniques and composite materials in recent years. Professor Vujanac has co-authored the textbook "Dizalični uređaji – Zbirka rešenih zadataka" (Cranes and Lifting Equipment - Collection of Solved Problems), published in 2018 by the Faculty of Engineering Sciences of the University of Kragujevac, which serves as a valuable resource for students studying mechanical engineering. His work extends to research supervision and practical engineering solutions for industrial applications, particularly in the automotive and material handling sectors. Professor Vujanac is actively involved in research related to mechanical structures, material behavior, and optimization of industrial equipment, with numerous publications spanning from 2010 to the present.

Serhan Kirlangicمشاهده پروفایل

مدرس

• Non-Destructive Testing (NDT)
• Structural Health Monitoring (SHM)
• Civil Infrastructure Assessment
• +۵ مورد دیگر

Dr. Serhan Kirlangic is a Lecturer in Civil Engineering at Teesside University (UK) within the SCEDT Engineering School. He holds a PhD from the University of Waterloo (Canada), MSc from Boğaziçi University (Turkey), and BSc from Istanbul Technical University (Turkey). His expertise focuses on non-destructive evaluation technologies for civil infrastructure, particularly ultrasonic and vibration-based methods for structural health monitoring. He previously served as Assistant Professor at Bahçeşehir University and conducted postdoctoral research at Cranfield University on EU-funded projects like PILEINSPECT. His work includes developing condition assessment techniques for concrete structures, asphalt pavements, and seismic risk mitigation. Research interests encompass non-invasive inspection techniques, including ultrasonic testing for crack depth estimation and corrosion assessment in reinforced concrete. Notable achievements include a TUBITAK Reintegration Grant for bending crack characterization and a ProVention Consortium grant for earthquake protection of historical structures. He has authored 10+ journal articles and 12 conference papers, and acted as a reviewer for multiple journals and TUBITAK grant evaluator. Teaching focuses on structural dynamics and soil mechanics. Professional experience includes bridge design, seismic evaluation of buildings, and roles in Turkey's Urban Transformation Committee for disaster mitigation.

Sabah Jassimمشاهده پروفایل

استاد

• Biometrics
• Medical Imaging
• Image Processing
• +۷ مورد دیگر

Sabah Jassim is a Professor of Mathematics at the University of Buckingham, specifically within the School of Computing. He holds a BSc and MSc from Baghdad University and a PhD in Mathematics from Swansea University (formerly University of Wales). His roles also include visiting lecturer positions at City University, London, and Fachhochschule Wedel, Germany. Education: BSc in Mathematics, Baghdad University MSc in Mathematics, Baghdad University PhD in Mathematics, University of Wales (Swansea) Research Interests: Dr. Jassim focuses on interdisciplinary research at the intersection of mathematics, computer science, and biomedical engineering. His work spans biometric authentication systems , medical image analysis , cryptography , and machine learning . Specific areas include biometrics security, dynamic encryption protocols, and automated classification of medical imaging data (e.g., ultrasound, histology). Research Trends (2010–2024): Recent work emphasizes applications of topological data analysis in forgery detection and medical imaging. His publications address challenges in ultrasound-based tumor classification , crack detection in building facades , and automated diagnosis support systems . He actively explores steganography techniques for secure data embedding and develops algorithms for clustering evolving data streams. Advising & Grants: Supervises research students in biometric authentication, biomedical image analysis, and dynamic encryption. His projects often involve collaborations with clinical partners for medical imaging applications. Active in securing funding for interdisciplinary research initiatives. Labs/Teams: Leads efforts in the School of Computing’s research groups focused on applied mathematics and computational security . Collaborates with medical institutions on diagnostic imaging projects.

Hyun Jong Parkمشاهده پروفایل

استادیار

• Auditing
• Executive Compensation
• Audit Quality
• +۵ مورد دیگر

Dr. Hyun Jong Park is an Assistant Professor of Accounting at Temple University's Fox School of Business and Management. His research focuses on auditing, executive compensation, and regulatory compliance, particularly in areas like audit quality, PCAOB policies, and risk-taking incentives. He holds a PhD in Accounting from the University of Florida, a Master of Commerce (Finance), and a Bachelor of Commerce (Accounting) from the University of Melbourne. Research Interests: - Auditing Standards and Practices - Executive Compensation Structures - PCAOB Regulations and Inspections - SEC Oversight Mechanisms - Litigation Risk in Financial Reporting - Risk-Taking Incentives Analysis His recent publications analyze the impact of auditing standards on corporate governance, political connections in audit firms, and the consequences of audit deficiencies. Articles frequently explore intersections between regulatory frameworks and financial reporting quality. Park teaches undergraduate courses in auditing and contributes to debates on audit quality improvements and regulatory efficacy.

Benjamín Sevilla Bernabéuمشاهده پروفایل

مدرس

• Tax Avoidance
• Treaty Abuse
• International Tax Planning
• +۵ مورد دیگر

Benjamín Sevilla Bernabéu is a Lecturer in the Department of Financial Law and History of Law at the Universitat de València. He holds a Doctorate in Law from the same institution and has completed additional studies at the Universities of Alicante and Seville. His research focuses on tax avoidance mechanisms, treaty abuse prevention, and international tax planning strategies. Education: Doctorate in Law (International Doctorate Mention), Universitat de València Master’s Degrees in Law and Legal-Mercantile/Fiscal Consultancy, University of Seville Bachelor’s in Law (Public Law Specialization), University of Alicante Research Interests: Global tax governance and coordination (e.g., OECD Pillar I/II) Abuse of tax treaties and anti-avoidance measures Tax implications of digital economy and quantum technologies Human rights integration into fiscal policy EU tax harmonization challenges Recent Contributions: Coordinated the collective work Gobernanza Tributaria Mundial (Aranzadi, 2025), analyzing 21st-century tax system reforms Principal investigator of the Prometeo-2021-041 project on global tax governance Presented at international forums like the PhD Global Tax Symposium 2025 and WU Vienna’s Tax Law Seminar Professional Experience: Research stays at University of Bologna, WU Vienna (Institute for Austrian and International Tax Law) Legal practice in tax law departments of Sevillian law firms Technical advisor on national and EU tax projects Current Initiatives: Organizing conferences on Spain’s tax system in global contexts (ETICCs research group) Developing cooperative compliance programs between tax authorities and taxpayers Advocating for fiscal sustainability and climate governance integration

Arnold Yuanمشاهده پروفایل

استاد

• Infrastructure Asset Management
• Engineering Risk and Reliability
• Public-Private Partnerships
• +۳ مورد دیگر

Dr. Arnold Yuan is a Professor in the Department of Civil Engineering at Toronto Metropolitan University. His expertise spans Infrastructure Asset Management, Engineering Risk and Reliability, and Public-Private Partnerships. He advocates for systems-based approaches to decision-making that integrate uncertainty and holistic lifecycle considerations. Education: PhD in Civil Engineering, University of Waterloo (2007) MASc in Civil Engineering, Hunan University (2000) BASc in Civil Engineering, Hunan University (1997) Research Interests: Dr. Yuan focuses on optimizing infrastructure asset management through risk analysis and systems engineering. His work addresses challenges in progressive collapse analysis, nuclear plant structural integrity, and resilient infrastructure systems. He emphasizes collaborative decision-making frameworks for municipalities and PPP models. Publications: His recent works explore Bayesian models for maintenance programs, progressive collapse robustness indices, and PPP contract risks. These contributions highlight his interdisciplinary approach to infrastructure challenges. Awards: No awards explicitly listed. Grants & Advising: No listed grants or advisees. However, he teaches courses like CVL609 (Civil Engineering Systems) and CV8107 (Infrastructure Asset Management). Labs/Groups: Risk-Informed Life-Cycle Infrastructure Engineering (RILCIE) lab focuses on advancing infrastructure decision-making through data-driven methods.

Ramona CIOBANUمشاهده پروفایل

مدرس

• Public Finances
• Taxation
• Economic Analysis of Law
• +۳ مورد دیگر

Ramona CIOBANU is a Lecturer at the Department of Law within the Faculty of Law of the Transilvania University of Brașov. Her research focuses on public finances, taxation, economic analysis of law, and international relations. She has contributed to interdisciplinary studies at the intersection of law, technology, and business, particularly in cyber security audit regulation and fiscal policy. Her work explores topics such as tax strategy for micro-enterprises, ethical dimensions of fiscal administration, and the role of international organizations in shaping cyber security standards. Key research areas include the legal frameworks governing taxation, comparative fiscal policies, and the application of economic principles to legal analysis. Notable publications address challenges in modern family dynamics, drug user social control, and the digital revolution's impact on taxation systems. She has also analyzed Romania's fiscal responses to crises, including the economic crisis and the pandemic era. Her publications emphasize practical policy implications, with a focus on enhancing public revenue mechanisms, improving tax compliance, and balancing fiscal sovereignty with international harmonization efforts. While no scientific awards are explicitly mentioned, her extensive body of work demonstrates significant contributions to legal, fiscal, and cybersecurity scholarship. Dr. CIOBANU’s advising and grant activities are not detailed in the provided texts, but her involvement in doctoral studies and research outputs at the university suggests active participation in academic mentorship and institutional research initiatives.

Paolo Stegagnoمشاهده پروفایل

دانشیار

• Multi-Robot Systems
• Mobile Robotics
• Aerial Robotics
• +۶ مورد دیگر

Paolo Stegagno is an Associate Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island. His research focuses on advanced robotics, including multi-robot systems, mobile robotics, aerial robotics, and human-robot interaction. He leads projects in adaptive control, fault detection, and cooperative systems, with applications in underwater vehicles, swarm robotics, and soft robotics. Education : Ph.D., Systems Engineering, Sapienza Università di Roma (2012) M.S., Electronic Engineering, Sapienza Università di Roma (2008) B.S., Electronic Engineering, Sapienza Università di Roma (2005) Research Interests : Dr. Stegagno explores cutting-edge topics such as distributed control algorithms for multi-agent systems, adaptive learning for uncertain environments, and fault-tolerant robotics. His work combines theoretical advancements in control theory with practical implementations in aerial, underwater, and soft robots. Recent projects include cooperative transportation systems, swarm localization, and human-in-the-loop control for safer and more efficient robotic operations. Grants & Collaborations : PI: NSF RII Track-2 FEC grant on computational methods for predicting harmful cyanobacterial blooms using autonomous robotics (2023) Co-PI: Vision-based bridge damage detection using UAVs (2022) Co-PI: NSF Collaborative Research on distributed multi-agent control (2020) Labs & Teams : Leads the URI Robotics Lab, focusing on hardware-in-the-loop simulations, aerial robotics, and cooperative systems. Active collaborations with Dartmouth College and the University of Maine on environmental monitoring and structural inspection projects.

Dimitrios Papageorgiouمشاهده پروفایل

دانشیار

• Nonlinear Control Systems
• Sliding-Mode Control
• Marine Technology
• +۲ مورد دیگر

Dimitrios Papageorgiou is an Associate Professor in the Department of Electrical and Photonics Engineering at DTU, specializing in nonlinear and fault-tolerant control systems. His research develops advanced control methodologies for applications including marine vessel autonomy, wind turbine reliability, and industrial automation. Research highlights: Nonlinear sliding-mode control algorithms for robust system performance Fault diagnosis and prognosis for critical energy infrastructure Maneuvering control and situation awareness for autonomous vessels Biomimetic control approaches for robotic systems He leads PhD projects in aerial robotics inspection, wind turbine fault tolerance, and compliant human-robot interaction systems. His group collaborates with maritime and renewable energy industries to implement control solutions in operational environments.

Jennifer Keenahanمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics (CFD)
• Wind Engineering
• Structural Health Monitoring
• +۶ مورد دیگر

Jennifer Keenahan is an Associate Professor in the School of Civil Engineering at University College Dublin. Her research focuses on Computational Fluid Dynamics (CFD) applications in the built environment, including wind analysis for urban safety, thermal comfort, fire safety, and sustainable infrastructure design. She holds a B.E. (Civil Engineering, 2011) and PhD (2014) from UCD, with industry experience at Arup in bridge engineering and CFD consulting. Her academic roles include Head of Teaching and Learning in Civil Engineering, Programme Director for the Dual Columbia-UCD ME in Civil Engineering, and Module Coordinator for structural engineering courses. She is actively involved in pedagogical innovation, such as integrating animation/video tools into teaching and promoting inclusive learning through UDL initiatives. Research interests span CFD validation for wind tunnel tests, seabed scour assessment, floating offshore wind dynamics, and eco-engineered coastal defenses. Notable awards include the 2023 Teaching and Learning Award and 2022 Infrastructure Asset Management Prize. She leads multiple grants, including the €4M DETECT project for coastal zone management and DECC-funded bridge safety studies.

Lazaros Nalpantidisمشاهده پروفایل

استاد

• Autonomous Systems
• Robot Perception
• Machine Learning
• +۳ مورد دیگر

Lazaros Nalpantidis is a Professor at the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), leading the Perception and Cognition for Autonomous Systems group. He also serves as Head of the Automation and Control Group and Head of Studies for DTU's MSc in Autonomous Systems. Previously, he was an Associate Professor at Aalborg University and a postdoctoral researcher at KTH Royal Institute of Technology. His research focuses on autonomous systems, robot perception, and machine learning, with applications in robotics, construction automation, agriculture, and maritime systems. Key projects include the RoBétArmé Project for shotcrete construction automation and the development of vision-based systems for weed detection in agriculture. Publications highlight advancements in object detection, semantic 3D reconstruction, and maritime robotics. He has supervised multiple PhD students and contributed to datasets like RumexWeeds and ConRebSeg. His work aligns with UN SDGs, particularly sustainable agriculture and industry innovation. Notable awards include IEEE Senior Member (2020). Collaborations span academia and industry, addressing challenges in autonomous systems across diverse domains.

• Civil Engineering
• Structural Analysis
• Neural Networks
• +۷ مورد دیگر

Professor Vagelis Plevris is affiliated with the Department of Built Environment at Oslo Metropolitan University's Faculty of Technology, Art and Design. His research focuses on structural engineering, computational methods, and sustainable construction materials. Key areas include seismic assessment of historical structures, AI-driven structural analysis, and digital twin frameworks for infrastructure management. He leads the Structural Engineering Research Group (SERG) and collaborates on Industry 5.0 applications in cultural heritage preservation. Research interests span structural analysis techniques (e.g., finite element methods, symbolic matrix analysis), optimization algorithms (e.g., ant colony optimization), and computational tools for engineering education. His work addresses challenges in earthen historical structures, wooden defect detection via CNNs, and emergency inspection scheduling post-disasters. His recent publications emphasize synthetic data generation for bridge digital twins, chatbot performance in mathematical reasoning, and open-source frameworks for reinforced concrete modeling. He actively contributes to conferences like the World Conference on Earthquake Engineering and ECCOMAS events.

Yun A. Leeمشاهده پروفایل

استادیار

• Early Modern Chinese Fiction
• Sinophone Fiction and Film
• Narrative Theory
• +۳ مورد دیگر

Yun A. Lee is an Assistant Professor of Chinese and Program Coordinator in the Department of Languages, Literatures and Cultures at Saint Louis University's College of Arts and Sciences. She teaches courses on modern Chinese fiction and film, global Sinophone fiction and film, and Chinese language at all levels. Her educational background includes: Ph.D. from The Ohio State University M.A. from Columbia University Dr. Lee's research centers on early modern Chinese fiction, Sinophone fiction and film, narrative theories, translation studies, and Chinese print culture. She investigates the transformation of Chinese short stories at the turn of the twentieth century, exploring the narrative, linguistic, and formal experiments that reshaped Chinese fiction. Her work also examines the diverse literary forms and genres that influenced this transformation. Her recent publications focus on early twentieth-century Chinese literary magazines, translated stories, and narrative modes in short fiction from 1906-1909. She analyzes works by authors like Wu Jianren and Feng Menglong, as well as translated stories in publications such as The All-Story Monthly . Her research reveals the interplay between original Chinese narratives and translated works, highlighting the evolution of literary forms during a period of significant cultural change.