جست‌وجوی استاد و پژوهشگر

Mario Selvaggioمشاهده پروفایل

استادیار

• Shared control/autonomy
• Robot teleoperation
• Passivity-based control
• +۷ مورد دیگر

Mario Selvaggio is an Assistant Professor at the Department of Electrical Engineering and Information Technology, University of Naples Federico II. He actively contributes to robotics research through his involvement with PRISMA Lab and ICAROS , while co-founding spinoff companies BeyondShape and Herobots . His academic background includes a Ph.D. in Information Technology and Electrical Engineering (2020) under Prof. Bruno Siciliano, with previous degrees in Mechanical Engineering (2013, 2015). Ph.D. in Information Technology and Electrical Engineering (2020) Bachelor's and Master's in Mechanical Engineering (2013, 2015) His research interests focus on shared control/autonomy, robot teleoperation, passivity-based control, soft robotics, and robotic surgery. He has developed innovative solutions including: Shared-control teleoperation for soft growing robots Non-prehensile object transportation frameworks Advanced modeling of cable-suspended dual-arm systems Medical robotics with force-sensor equipped tools Virtual reality-based teleoperation architectures Recent publications (2021-2025) span topics from semi-autonomous aerial manipulation to cyber-physical measurement systems, with emphasis on human-robot interaction and industrial applications. He serves as Associate Editor for several IEEE conferences and journals. Scientific Awards IEEE RAS Technical Committee on Haptics grant ($2500, 2018) Second prize at Bioengineering Congress (2018) Finalist for 'Fabrizio Flacco' Best Paper Award (2020) Prof. Selvaggio teaches the Master's Course in Automation Engineering and Robotics (2024/2025) using Robot Operating System (ROS) curriculum. He actively collaborates with international research groups at IRISA/INRIA Rennes , Rainbow team , and University of California Santa Barbara (mechanical engineering department). His research combines theoretical advancements with practical implementations, demonstrated through extensive validation in simulated environments and real robotic platforms including KUKA LWR IIWA manipulators, dVRK systems, and humanoid platforms.

Saurabh Aminمشاهده پروفایل

استاد

• Infrastructure Systems
• Network Resilience
• Control Theory
• +۷ مورد دیگر

Saurabh Amin is the Edmund K. Turner Professor in Civil Engineering at the Massachusetts Institute of Technology (MIT) . He serves as the Director of the Henry L. Pierce Laboratory for Infrastructure Science and Engineering and the Undergraduate Officer in the Department of Civil and Environmental Engineering (CEE). He is affiliated with the Laboratory for Information and Decision Systems (LIDS) , Operations Research Center (ORC) , Institute for Data, Systems and Society (IDSS) , and Center for Computational Science and Engineering (CCSE) . Education: B.Tech. in Civil Engineering, Indian Institute of Technology (IIT) Roorkee, 2002 M.S. in Transportation Engineering, University of Texas at Austin, 2004 Ph.D. in Systems Engineering, University of California (UC) Berkeley, 2011 Research Interests focus on combining control theory , game theory , and optimization to address challenges in resilient infrastructure systems . His work emphasizes: Resilient Network Control for highway transportation, electric power distribution, and urban water networks Information Systems and Incentive Design to improve public goods under strategic entities Optimal Resource Allocation for restoring systems after natural disasters or attacks He explores cyber-physical interactions in infrastructure, aiming to rigorously model vulnerabilities and develop implementable solutions for operators. Scientific Awards include: Common Ground Excellence in Teaching Award (2025) HSCC Test-of-Time Award (2024) MIT CEE Distinguished Service and Leadership Award (2023) Samuel M. Seegal Prize (2022) NSF CAREER Award (2015) His research has been supported by grants from the National Science Foundation , Google , DoD-Science of Security Program , AFOSR , Siebel Energy Institute , and C3.ai Digital Transformation Institute .

• Additive Manufacturing
• Sustainable Manufacturing
• Machining of High-Performance Materials
• +۳ مورد دیگر

Professor Stephen T Newman is a faculty member at the University of Bath , serving in the Department of Mechanical Engineering as the Professor of Innovative Manufacturing Technology . His research focuses on advancing manufacturing technologies through additive/subtractive hybrid systems, sustainable machining practices, and smart manufacturing frameworks. University: University of Bath Department: Mechanical Engineering Email: S.T.Newman@bath.ac.uk Research interests include: Process optimization in additive manufacturing (LDED, WA-DED) Cryogenic and hybrid cooling/lubrication techniques Industry 4.0 implementation via cloud manufacturing Machine learning applications for tool condition monitoring Sustainability in material delivery and recycling Recent publications highlight trends in smart manufacturing , energy-efficient machining , and multi-sensor process monitoring . Key subfields include laser additive systems, cryogenic lubrication mechanics, and decentralized production platforms. Current affiliations: University of Bath 4 East 2.9c, Department of Mechanical Engineering

• Cyber-Physical Systems
• Hybrid Systems Verification
• Formal Methods
• +۳ مورد دیگر

Stefan Alexander Schupp is a researcher affiliated with the Department of Cyber-Physical Systems at Technische Universität Wien (TU Wien). His work focuses on formal verification, hybrid systems, and controller synthesis for cyber-physical systems. Department: Cyber-Physical Systems (E191-01) Research Affiliation: TU Wien Network Lab Research interests include: Hybrid and stochastic system verification Controller synthesis for real-time systems Formal methods in software engineering Design and analysis of safety-critical systems Automated model checking techniques Flowpipe construction for reachability analysis Recent publications highlight collaborations with researchers from multiple institutions, covering topics such as: Hyperproperty verification in distributed systems Metric Temporal Logic (MTL) controller synthesis Adaptive simplex architectures for bounded-liveness properties Stochastic hybrid automata analysis tools HyPro verification tool developments Probabilistic reachability optimization

Brian J. Lundayمشاهده پروفایل

استاد

• Operations Research
• Game Theory
• Network Optimization
• +۲ مورد دیگر

Brian J. Lunday is a Professor of Operations Research at the Air Force Institute of Technology (AFIT) , specifically within the Department of Operational Sciences. His career spans over two decades, with a focus on applications of mathematical programming to cooperative and non-cooperative game-theoretic interactions, network design, optimization, interdiction, and resource allocation in military contexts. Education: Ph.D. in Industrial and Systems Engineering, Virginia Tech (2010) M.S. in Industrial Engineering, University of Arizona (2001) B.S. in Mechanical Engineering (Aerospace Systems), United States Military Academy (1992) Lunday’s research interests are broad and interdisciplinary, centering on operations research with military applications. His work includes network interdiction, resource location and allocation, game theory, and optimization under uncertainty. He has contributed to areas such as missile defense, vaccine pricing, medical evacuation logistics, and social network analysis. His methodological approaches often involve bilevel programming, stochastic and dynamic programming, and metaheuristics. The trends in his publications reflect a deep engagement with military logistics, game theory, and network optimization. Notable topics include the weapon-target assignment problem, robust location modeling, approximate dynamic programming for medical evacuations, and social network analysis using multilayer frameworks. His work frequently integrates mathematical rigor with real-world defense challenges, such as asymmetric satellite constellation design, truck platooning cost optimization, and intruder detection. Scientific Awards: 2024 Richard H. Barchi Prize (MORS) 2023 Outstanding Science and Engineering Educator (USAF) 2020 Dean’s Distinguished Teaching Award (AFIT) 2018 Lessons Learned Senior Civilian Professional of the Year (USAF) 2016 Outstanding Young Member OR/MS Award (INFORMS) 2014 Professor of the Year (ASAM Master’s Program) 2013 Dr. Leslie M. Norton Teaching Excellence Award Lunday has advised numerous students across his publications, including researchers working on military applications (e.g., C. G. Long, S. D. Donnel, M. J. Robbins) and optimization challenges (e.g., P. R. Jenkins, W. M. Caballero). His collaborative research extends to projects involving cyber readiness, missile defense, and healthcare logistics.

Stefan Hallerstedeمشاهده پروفایل

دانشیار

• Software Engineering
• Computer Systems
• Formal Methods
• +۴ مورد دیگر

Stefan Hallerstede is an Associate Professor at the Department of Electrical and Computer Engineering, Aarhus University. His research focuses on formal methods, software engineering, and cyber-physical systems, with a particular emphasis on component-based systems and code generation. He has contributed to over 61 research outputs and participated in 23 peer-review activities.

• Mobile Networks
• Wireless Networks
• 5G
• +۵ مورد دیگر

Mauricio ITURRALDE serves as a Teacher-researcher at CESI La Rochelle Campus, France, within the Engineering and Digital Tools Research Team. His expertise bridges telecommunications engineering and cybersecurity, with significant contributions to mobile network optimization and security protocols. His academic credentials include: Doctorate in Networks, Telecom, Systems and Architecture from National Polytechnic Institute of Toulouse and ENSEEIHT (2012) Master's Degree in Computer Systems Security from Télécom SudParis and Paris EST University (2009) ITURRALDE's research centers on 5G/LTE networks, quality of service optimization, digital twin implementation for Industry 5.0, and cyber security solutions. His work addresses critical challenges in resource allocation using game theory, energy-efficient network design, and security mechanisms for mobile communications and transportation systems. Analysis of his 15 publications (2011-2020) reveals a consistent focus on mobile network performance, with evolving emphasis from LTE resource allocation (2011-2013) to 5G sleep strategies (2019) and transportation applications (2020). His methodologies frequently integrate machine learning and game theory to solve real-world network optimization problems. No scientific awards are documented in the provided materials. Information regarding student advising and research grants is unavailable in the source text. He actively contributes to the Engineering and Digital Tools Research Team at CESI La Rochelle, which develops digital innovation solutions for engineering contexts with particular focus on network technologies and security applications.

Edoardo De Dinمشاهده پروفایل

پژوهشگر

• Multi-energy systems
• Voltage control
• Distributed control
• +۷ مورد دیگر

Dr.-Ing. Edoardo De Din is a researcher at Forschungszentrum Jülich GmbH, affiliated with the Institute of Climate and Energy Systems (ICE) and its Energy System Technology (ICE-1) department. His work focuses on developing control solutions for multi-modal energy systems, emphasizing real-time operation, voltage control, distributed control, and cyber-physical systems. He specializes in validating these solutions through hardware-in-the-loop (HIL) testing under realistic conditions. Research Highlights: His research addresses the challenges of implementing control methods in field environments, integrating cyber-physical systems with energy infrastructure. The work is aligned with energy system modernization and real-time control optimization. Contact: Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52428 Jülich, Germany. Phone: +49 2461/61-96095. Office location: Building 10.21, Room 4009.

• Wireless Communications
• Mathematics
• Artificial Intelligence
• +۵ مورد دیگر

Keivan Navaie is a Professor of Intelligent Networks at Lancaster University’s School of Computing and Communications. He serves as a member of the Independent Scientific Advisory Committee at the Alan Turing Institute, overseeing the £100 million BridgeAI programme, and previously as Principal AI Technology Advisor to the UK Information Commissioner’s Office (ICO). He is recognized with Fellowships from the Institution of Engineering and Technology (IET), Chartered Engineer status in the UK, Senior Fellowship of the Higher Education Academy (HEA), and the IEEE Young Investigator Award. Research Focus: Wireless communications, mathematics, artificial intelligence, 6G networks, blockchain technology, edge computing, cognitive radio networks, and non-orthogonal multiple access (NOMA). Supervision: Actively supervises PhD students in areas like wireless communications and mathematical modeling. Projects: Involved in distributed learning, blockchain integration, 6G research, and spectrum sharing systems. Awards: IEEE Young Investigator Award, Fellow of IET, Chartered Engineer, Senior Fellow of HEA.

Audun Jøsangمشاهده پروفایل

استاد

• Cybersecurity
• Artificial Intelligence
• Trust and Reputation Systems
• +۴ مورد دیگر

Audun Jøsang is a Professor of Cybersecurity at the University of Oslo and holds a Visiting Professor position at Queensland University of Technology (QUT) . His work focuses on trust and reputation systems in digital environments, with notable contributions to subjective logic —a mathematical framework for reasoning under uncertainty. Education : MSc in Information Security from Royal Holloway, University of London , MSc and PhD in Telecommunications from Norwegian University of Science and Technology (NTNU) Books : Subjective Logic: A Formalism for Reasoning Under Uncertainty (2016), Cybersecurity: Technology and Governance (2011) His research spans cybersecurity , artificial intelligence , and risk assessment , with applications in online marketplaces , social media , and decision-making under uncertainty . He has developed mathematical models for uncertainty-aware influence propagation and competitive information spread using subjective logic. Audun Jøsang’s work bridges theoretical foundations and industrial applications of computational trust and security analytics . His recent publications explore ethical AI , fair federated learning , and dynamic intelligence assessment for artificial general intelligence development.

• Taxation
• Executives
• Financial Reporting
• +۴ مورد دیگر

Yijun Li is an Assistant Professor of Accounting at the Erasmus School of Economics, Erasmus University Rotterdam. His research focuses on taxation, executive influence, financial reporting, and disclosure. Ph.D. - University of Kansas Master of Accountancy - George Washington University Bachelor's Degree - Shanghai University His research explores intersections between taxation and corporate governance, the impact of executive experiences on financial reporting, and the role of information technology in firm innovation. Recent work examines cybersecurity breaches affecting trade secrets and international tax policies. His publications span top-tier journals such as Information Systems Research , The Accounting Review , and Journal of Accounting and Public Policy , reflecting a focus on technological integration, tax compliance, and managerial behavior. Yijun Li holds a Certified Public Accountant (CPA) license in Massachusetts (U.S.A.).

Xiaoyin Wangمشاهده پروفایل

دانشیار

• Natural Language Processing
• Program Analysis
• Software Engineering
• +۶ مورد دیگر

Xiaoyin Wang is an Associate Professor in the Department of Computer Science at the University of Texas at San Antonio, with affiliations to the College of AI, Cyber and Computing. She previously held a PostDoc position at UC Berkeley's Department of Electrical Engineering and Computer Science. Ph.D. in Computer Science, Peking University (2012) B.Eng. in Computer Science, Harbin Institute of Technology Her research focuses on Natural Language Processing , Program Analysis , Software Engineering , and Software Security . Key sub-areas include: Software migration and compatibility Build system automation Testing and debugging methodologies Privacy policy enforcement in mobile apps Deep learning for software analysis Augmented/Virtual Reality testing Recent publications (2022-2024) emphasize automated oracle prediction for AR/VR testing, data-sensitive analysis, and DevOps toolchain optimization. Trends include: Adaptation of program analysis to immersive environments Privacy-preserving software engineering Empirical studies on testing frameworks Academic accolades include: NSF CAREER Award (2019) President's Research Achievement Award (UTSA, 2019) Multiple best paper awards at ICSE, TOSEM She has advised 7 graduate students, including: Current: Rodney Rodriguez, Xueling Zhang, Sunzhou Huang Graduated: Xue Qin (Villanova), Foyzul Hassan (UM-Dearborn), Shaikh Mostafa (Amazon/Microsoft) Laboratory work involves tools like: TranStrL: Software internationalization Hima: API mapping for framework evolution NetworkProfiler: Android app fingerprinting DOVAR: AR/VR visualization for education Uniloc: CI failure diagnosis

Michael Kochمشاهده پروفایل

استاد

• Robotics
• Additive Manufacturing
• Materials Science
• +۳ مورد دیگر

Prof. Michael Koch is a Professor at Technische Hochschule Nürnberg, specializing in interdisciplinary research at the intersection of robotics, materials science, and industrial engineering. His work focuses on advancing additive manufacturing, robotics integration, and computational simulation in manufacturing processes. He holds a Dr.-Ing. and Dipl.-Wirt.-Ing., reflecting his expertise in engineering and applied sciences. Research interests include 3D printing optimization, cyber-physical systems, and safety analysis of materials under mechanical stress. He has contributed to innovations in robotics programming via augmented reality and developed frameworks for automated manufacturing processes. His studies on biomedical applications, such as ovarian cancer modeling, demonstrate a cross-disciplinary approach. Key projects involve robot-guided CT scanning for automotive industry 4.0, part orientation evaluation for additive manufacturing (Poeam), and safety protocols for explosives (PBX). His work emphasizes integrating real-world geometry data into simulations to improve accuracy and efficiency. Prof. Koch’s publications span over three decades, with a focus on manufacturing, robotics, and materials science. He has pioneered methods for energy-efficient CO2 capture systems and explored microstructural changes in materials under dynamic loading.

Paul Conwayمشاهده پروفایل

استاد

• Electronics Manufacturing
• Multifunctional Materials
• Industrial IoT
• +۳ مورد دیگر

Paul Conway is a Professor of Manufacturing Processes and Dean of School at Loughborough University. He holds leadership roles such as Director of the EPSRC Centre for Doctoral Training in Embedded Intelligence. Conway earned his BEng (Hons) from the University of Ulster (1988) and MSc from Loughborough University (1989). His expertise spans electronics manufacturing, multifunctional materials, and Industrial IoT, with contributions to projects funded by EPSRC, EU frameworks, and industry. He is a Fellow of The Royal Academy of Engineering (2021) and has received prestigious awards including the 2003 IEEE/CPMT/SEMI Best Paper Award and 2012 Loughborough Innovation Italy Sustainability Award. His research addresses challenges in additive manufacturing, materials processing, and cyber-physical systems, with notable work on through-silicon vias (TSVs), biomedical scaffolds, and Industry 4.0 applications. Conway has led initiatives like the EPSRC IeMRC and contributed to strategic advisory roles in UK manufacturing research. His work emphasizes sustainable manufacturing practices and technological innovation across academia and industry. Education: BEng (Hons), University of Ulster, 1988 MSc, Loughborough University, 1989 Awards: Fellow of The Royal Academy of Engineering (2021) IEEE/CPMT/SEMI Best Paper Award (2003) Loughborough Innovation Italy Sustainability QUID Award (2012) Conway’s publications span advanced materials, manufacturing processes, and smart systems, reflecting his interdisciplinary approach. His current focus includes integrating cyber-physical systems for sustainable production and training future engineers through innovative frameworks.

Kyoung-Don Kangمشاهده پروفایل

استاد

• Real-time embedded systems
• Cyber-physical systems
• Internet of Things
• +۴ مورد دیگر

Kyoung-Don (KD) Kang is a Professor in the School of Computing at Binghamton University, State University of New York. He specializes in real-time embedded systems, cyber-physical systems, and IoT security. His research focuses on enhancing real-time data services' timeliness and power efficiency, supported by NSF grants and industry collaborations. Education: BS, MS (Kyungpook National University); MS, PhD (University of Virginia). Research Interests: Real-time embedded systems, cyber-physical systems, IoT, security, edge computing, and wireless sensor networks. His work emphasizes control-theoretic approaches, feedback mechanisms, and adaptive algorithms for real-time systems. Grants & Projects: NSF-funded projects include 'Enhancing Timeliness of Real-Time Data Services' and 'QoS-Aware Data Management.' He leads the Real-Time Embedded Systems Laboratory, developing frameworks like Chronos and RTMR. Awards: Best Paper nominations (DCOSS'19), NSF grants, and patents in surveillance systems. Over 16 MS students and 9 PhD students have graduated under his mentorship, many joining top tech firms. Labs & Teams: Director of the Real-Time Embedded Systems Lab, focusing on edge computing, real-time stream processing, and secure IoT applications. Collaborates with industry partners like Samsung and Intel.