جست‌وجوی استاد و پژوهشگر

Rudra Duttaمشاهده پروفایل

استاد

• Networking Systems
• Internet Architecture
• Wireless Networks
• +۵ مورد دیگر

Rudra Dutta is a Professor and Associate Department Head in the Department of Computer Science at North Carolina State University, part of the College of Engineering. He joined the faculty in 2001 after completing his Ph.D. at NC State and working as a software developer at IBM. His academic journey includes progression from Assistant Professor (2001-2007) to Associate Professor (2007-2013) to Professor (2013-present), with additional administrative responsibilities as Associate Department Head since Fall 2018. His educational background includes: Ph.D. in Computer Science from North Carolina State University (2001) M.E. in Engineering System Science and Automation from Indian Institute of Science, Bangalore, India (1993) B.E. in Electrical Engineering from Jadavpur University, Kolkata, India (1991) Dutta's research focuses on the design and performance optimization of large-scale networking systems, Internet architecture, wireless networks, and network analytics, with recent emphasis on Cyber-Physical Systems and Software Defined Networking. His work has been particularly influential in areas such as drone communications, wireless security, and network optimization. He has led significant projects including the AERPAW (Aerial Experimentation and Research Platform for Advanced Wireless) testbed, which represents a major national research infrastructure for wireless experimentation. His research has been supported by over $24 million in funding from the National Science Foundation, Army Research Office, National Security Agency, and industry partners. The most recent major grant is the AERPAW project ($11.6 million from NSF, 2021-2025). His scientific honors include: ACM Distinguished Engineer (2016) IEEE Senior Member (2015) Dutta has advised numerous doctoral and master's students, with over ten PhD students completing their degrees under his supervision. He has served on editorial boards for journals including the Journal of Optical Switching and Networking and Photonic Communication Networks, and has contributed to major conferences including serving as General Co-Chair of the IEEE Sarnoff Symposium. At NC State, he has served on numerous university committees, including the University Standing Committee on Extension, Engagement, and Economic Development and the University Reappointment, Promotion, and Tenure Committee. He is currently teaching courses including CSC/ECE 573 (Fall 2024) and CSC402 (Spring 2025), with a focus on networking education that emphasizes software-defined approaches relevant to modern computer science practice.

• International Economics
• Development Economics
• Labor Economics
• +۵ مورد دیگر

Paulo Bastos is an Associate Professor at the Lisbon School of Economics and Management (ISEG), Universidade de Lisboa, and a Research Fellow at the Center for Economic Policy Research (CEPR) in London. He is also a member of UECE-REM, a research unit within ISEG. His work bridges international economics, development economics, and labor markets with a focus on global trade dynamics and firm behavior. Education: Ph.D. in Economics, University of Nottingham (2007) M.Sc. in Economics, University of Minho (2003) Licenciatura in Economics, University of Porto (2000) His research explores how trade liberalization, technological change, and institutional frameworks affect economic outcomes. Key areas include globalization's impact on wage inequality, firm dynamics in response to trade shocks, and the role of resource rents in local development. Recent work examines automation, cross-border acquisitions, and educational interventions in developing economies. Publications span top journals like the American Economic Review , Journal of International Economics , and World Development , with methodologies ranging from firm-level data analysis to regression-discontinuity designs. His work addresses both theoretical and policy-relevant questions, such as the economic implications of China's trade shocks and the effectiveness of trade liberalization in South Africa. Scientific Awards: GEP/ESRC Post-doctoral Research Fellow (2007) He has held significant roles at the World Bank (2013–2019) and Inter-American Development Bank (2009–2012), contributing to development research. His teaching includes courses on International Economics and World Business Environment at the graduate level, reflecting his expertise in global economic policy.

• Autonomous Systems
• Biomimetic Robotics
• Unmanned Underwater Vehicles
• +۷ مورد دیگر

Dr Euan W McGookin is a Senior Lecturer in Autonomous Systems & Connectivity at the University of Glasgow, based in the Aerospace Sciences division of the James Watt Building South. He coordinates Glasgow-delivered aerospace degree programmes in Singapore and serves on the IFAC Technical Committee on Marine Systems, underlining his sustained engagement with both local and international academic activities. Education: 1st Class Honours Master of Engineering in Avionics, University of Glasgow PhD in Optimisation of Sliding Mode Controllers for Marine Applications, University of Glasgow (1997) Research Interests Dr McGookin’s core expertise lies in the design, simulation, control and physical realisation of autonomous robotic systems. His work spans Autonomous Underwater Vehicles (AUVs) , Unmanned Aerial Vehicles (UAVs) , Planetary & Terrestrial Rovers , and Biomimetic Robotics . He is particularly recognised for applying biologically inspired principles to robotic locomotion, navigation and control. Complementary themes include advanced control methodologies—Sliding Mode Control, H-infinity, Inverse Model Control—optimisation heuristics, guidance & navigation, fault detection & isolation (FDI), and system health monitoring for both terrestrial and space applications. Publication Trends Across 80 publications from 1995 to 2025, his work has evolved from early genetic-algorithm-based controller optimisation for marine vessels to cutting-edge multi-rover mission planning and health monitoring for planetary exploration. Recent outputs (2022–2025) concentrate on micro-rover coordination, friction modelling for planetary soils, reinforcement-learning-driven sensor fusion, and robust health-monitoring architectures, reflecting a strategic pivot toward space robotics while retaining strong roots in control theory and autonomous systems. Scientific Awards & Fellowships Member, IFAC Technical Committee on Marine Systems Grant & Advising Narrative While specific grant values are not disclosed, his continuous funding stream is evidenced by sustained publication output, international conference leadership, and ongoing supervision of postgraduate projects. Dr McGookin advises a steady cohort of PhD and MSc students whose theses align with his research themes—ranging from rover fault diagnosis to biomimetic AUV coordination—thereby fostering the next generation of control and robotics engineers. Laboratory & Team Dr McGookin heads research activities within the James Watt Building South, leveraging interdisciplinary laboratories that integrate simulation suites, rapid-prototyping facilities for AUV and UAV subsystems, and dedicated test rigs for biomimetic propulsion and rover mobility studies. Collaborative networks extend across the University of Glasgow’s Aerospace Engineering group, Singapore Institute of Technology partners, and international consortia such as ESA and IFAC.

• 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.

• Robotics
• Control Systems
• Unmanned Aerial Vehicles
• +۳ مورد دیگر

Pascal Morin serves as a University Professor at Sorbonne University within the Faculty of Science and Engineering. He is an active member of the ASIMOV research team at the Intelligent and Robotic Systems Institute (ISIR), located at 4 Place Jussieu in Paris. His office H17 serves as the base for his research activities in advanced robotics and control systems. Professor Morin's research focuses on cutting-edge robotics applications, particularly in unmanned aerial vehicle navigation and control systems. His work spans nonlinear control theory, visual servoing techniques, and micro air vehicle development. Key interests include homography estimation for image stabilization, thermal anemometry for airflow sensing, and obstacle avoidance algorithms for precision robotics. His publications demonstrate consistent innovation in combining theoretical control frameworks with practical robotic implementations. Analysis of his 15 most recent publications reveals strong thematic continuity in UAV navigation systems, with increasing integration of deep learning techniques since 2020. His work consistently addresses GPS-denied environments and sensor fusion challenges, with notable contributions to thermal-based odometry and visual-inertial navigation systems. The research trajectory shows progression from theoretical control frameworks toward increasingly complex real-world applications including power line inspection and microscopy manipulation. Professor Morin actively collaborates with major aerospace institutions including ONERA and DLR, as evidenced by his participation in the EuRoC challenge. His editorial work on MAV navigation special collections demonstrates leadership in the micro air vehicle research community. While specific grant details aren't provided in the source material, his sustained publication output across multiple high-impact journals indicates successful funding acquisition. As a core member of the ASIMOV team at ISIR, Professor Morin contributes to Sorbonne University's leadership in robotics research. The team maintains strong industry connections through publications in Aerospace Lab and collaborations with organizations like AIAA. Current research directions appear focused on thermal sensor integration for MAVs and nonlinear control solutions for challenging operational environments.

Ralph A. Brasacchioمشاهده پروفایل

دانشیار بالینی

• Radiation Oncology
• Prostate Cancer
• Brachytherapy
• +۳ مورد دیگر

Ralph A. Brasacchio, M.D. serves as Associate Professor of Clinical Radiation Oncology at the University of Rochester School of Medicine and Dentistry, Department of Radiation Oncology. Board-certified by the American Board of Radiology, he practices at Sands Cancer Center in Canandaigua, NY, and is part of the University of Rochester Medical Faculty Group and Accountable Health Partners network, currently accepting new patients. His educational foundation includes: MD from Jefferson Medical College (1990) Internal Medicine Residency at Mercy Catholic Medical Center Inc. (1990-1991) Radiation Oncology Residency and Fellowship at University of Rochester Medical Center (1991-1995) Brasacchio's research centers on advancing prostate cancer treatment through robotic-assisted brachytherapy, with significant contributions to needle insertion mechanics, prostate stabilization, and image-guided therapy optimization. His work addresses critical challenges in radiation oncology including cancer-related fatigue management and gastrointestinal complications from radiotherapy, demonstrating consistent innovation from 1998 through 2014 publications. Analysis of his 15 most recent publications reveals a dominant focus on prostate brachytherapy robotics (12/15 articles), emphasizing surgical precision through force modeling, motion measurement, and conical implant optimization. Secondary themes include metastasis biology and radiation-induced secondary cancers, reflecting his dual expertise in technical innovation and clinical oncology outcomes. Key recognitions include: Philip Rubin / Mayer Mitchell Award for Excellence in Teaching (1998) Clinical Oncology Fellowship (1993-1994) NIH Research Traineeship Grant (1987) Clinical Research Elective in immunologic disease mechanisms (1990) His research portfolio features NIH-funded projects and leadership in multi-institutional trials like the Phase III pentosanpolysulfate study for radiation-induced gastrointestinal toxicity. Brasacchio maintains active clinical research in prostate cancer brachytherapy optimization while contributing to textbook chapters in prostate cancer treatment and CNS tumor management.

• Mobile Communications
• Radio Frequency Radiation Safety
• Biometric Radio Systems
• +۳ مورد دیگر

Dr Robert Edwards is a Reader in Mobile Communications and Director of the 5G Research Centre at Loughborough University. Formerly Director of Sheffield's Centre for Mobile Communications Research, he holds Senior Member status in IEEE and is a Chartered Engineer with the IET. His research focuses on biometric radio systems, mobile communications advancements, and the health implications of radio frequency radiation exposure. Education : BEng (Hons) in Electronic Engineering (Communications), University of Sheffield PhD in Communications & Radar Engineering from Sheffield University Research Interests : Developing biometric authentication through radio channel characteristics Antenna design for on-body and industrial applications IoT-based flood monitoring systems in developing regions RF safety assessment and mitigation strategies Key Activities : External Examiner for multiple institutions including American College of Thessaloniki and Arab Open University Member of Wireless World Research Forum's Communications Division Subject advisor for British University in Egypt (Communications Electronics) Labs/Teams : Leads the Loughborough 5G Research Centre and collaborates with the Antenna Team (as noted in his 2013 publications).

• Collective Robotic Construction
• Swarm Robotics
• Soft Robotics
• +۴ مورد دیگر

Kirstin Petersen is an Associate Professor in the Department of Information Science at Cornell University's Bowers College of Computing and Information Science. She leads the Collective Embodied Intelligence Lab, focusing on collective robotic systems that exhibit emergent intelligent behaviors through local interactions. Her research interests center on collective robotic construction, swarm robotics, soft robotics, and human-robot interaction. Petersen's work explores how groups of simple robots can collaborate to build complex structures, with applications ranging from construction to agriculture. She investigates the principles of embodied intelligence, where the physical form and environment of robots contribute to their capabilities, reducing the need for complex centralized control. Her publication trends show a consistent focus on distributed robotic systems, with recent work expanding into agricultural robotics, human-drone interaction, and novel actuation methods using phase-changing materials. Her research bridges theoretical principles of collective behavior with practical implementations in soft and modular robotic systems. Petersen has advised numerous graduate students who have become prominent researchers in robotics, including Steven Ceron, Nialah Wilson-Small, and Jiahe Chen. Her lab has secured funding for projects related to swarm construction, agricultural monitoring, and soft robotic systems. She leads the Collective Embodied Intelligence Lab at Cornell, which brings together researchers from computer science, mechanical engineering, and biology to develop novel approaches to collective robotic systems. The lab emphasizes both theoretical foundations and practical implementations, with projects ranging from tiny modular robots to agricultural drones.

• Tactile Sensing
• Robotics
• Computer Science
• +۳ مورد دیگر

Wenzhen Yuan is an Assistant Professor at the University of Illinois at Urbana-Champaign, holding appointments in the Siebel School of Computing and Data Science, Mechanical Science and Engineering, Electrical and Computer Engineering, and the Coordinated Science Lab. His research focuses on tactile sensing, robotics, and their interdisciplinary applications. Key areas include vision-based tactile sensors (e.g., GelBelt and GelSight), photonic tactile arrays, and robotic manipulation systems for precise tasks like liquid dispensing and door opening. He contributes to both hardware innovation and algorithmic advancements in sensor design and perception. Research interests emphasize tactile sensor development, sensor fusion with vision, and applying these technologies to real-world robotics challenges. Notable projects include the A Novel Parylene C Waveguide-Based High-Resolution Photonic Tactile Array Sensor (2025) and the An Intelligent Robotic System for Perceptive Pancake Batter Stirring (2024). His work bridges mechanical engineering, computer science, and electrical engineering, addressing challenges in robotics perception and control. Publications span high-impact journals like IEEE Transactions on Robotics and Advanced Materials Technologies, showcasing contributions to tactile robotics, sensor design, and automation. Collaborations include institutions globally, with a focus on tactile sensing applications in industrial robotics and human-robot interaction. He leads the Tactile Robotics research group at the Coordinated Science Lab, advancing next-generation tactile systems.

Rahul Mouryaمشاهده پروفایل

مدرس

• Machine Learning
• Computer Vision
• Inverse Problems
• +۶ مورد دیگر

Rahul Mourya is a Lecturer in Computer Science at the Faculty of Science and Engineering , University of Wolverhampton, UK. He joined in October 2023 and is affiliated with the Digital Innovations and Solution Centre (DISC) , which focuses on fundamental and applied research with societal and economic impact. PhD & MSc in Computer Science (Signal/Image/Vision) from Université Jean Monnet Saint-Etienne, France BEng in Electronics & Telecommunications from University of Pune, India His research develops foundational tools for machine learning, computer vision, inverse problems , and signal/image processing , with applications in autonomous systems, robotics, and sensor networks . Teaching includes computational mathematics, robotics engineering, and deep learning modules. Collaborations span institutions like Heriot-Watt University, Telecom ParisTech, and interdisciplinary projects in underwater acoustics and astronomical imaging. Current research explores measurement-consistent neural networks and optimization algorithms for inverse problems.

Michael Gruningerمشاهده پروفایل

استاد

• Ontologies
• Semantic Integration
• Process Modelling
• +۶ مورد دیگر

Michael Gruninger is a Professor in the Department of Mechanical and Industrial Engineering at the University of Toronto, serving as Associate Chair of Undergraduate Studies. He holds a PhD and MSc in Computer Science from the University of Toronto and a BSc in Computer Science from the University of Alberta. His research focuses on semantic integration, process modeling, and mathematical logic applications in manufacturing and enterprise engineering. He contributed to the ISO 18629 standard for Process Specification Language. Research interests include ontologies, semantic web technologies, knowledge representation, and formal methods. He leads the Semantic Technologies Laboratory, advancing theories in mereotopology, spatiotemporal ontologies, and ontology engineering. Recent work emphasizes automated spatial reasoning in robotics and standards-based ontology development. Publications span ontology validation, mereological foundations, and applied semantic technologies. His work bridges theoretical computer science with practical enterprise systems and smart city applications. No awards are explicitly listed, though his contributions to ISO standards reflect industry impact. Advising and grants: No specific students/grants detailed here. His lab focuses on semantic technologies with applications in manufacturing and urban systems. Collaborations include NIST and the Industrial Ontologies Foundry.

Daniel Tollمشاهده پروفایل

استادیار

• Public Sector Digitalization
• Robotic Process Automation (RPA)
• Automation in Governance
• +۳ مورد دیگر

Daniel Toll is an Assistant Professor at Linköping University's Department of Management and Engineering (IEI), within the Information Systems and Digitalization (INDIG) division. His research focuses on the societal and organizational impacts of digitalization, particularly robotic process automation (RPA) in Swedish municipalities. He examines how automation technologies reshape public sector processes, employee roles, and public values such as efficiency, democracy, and equality. As an educator, Toll teaches in Information Systems programs, emphasizing methodological and organizational aspects of IT. He contributes to courses on systems analysis, project supervision, and workshops blending technology with organizational dynamics. His licentiate thesis investigates RPA implementation challenges and outcomes in local governments. Research interests include automation's ethical implications, stakeholder perspectives on digital transformation, and longitudinal analysis of digitalization strategies. Notable work explores 'robot colleagues' in municipalities, organizational readiness for RPA, and the interplay between technology and public values. Toll's publications address barriers to implementation, stakeholder priorities, and sociotechnical imaginaries surrounding automated governance. He collaborates with municipalities to study real-world RPA adoption, highlighting themes like resource constraints, employee adaptation, and societal trade-offs. While no formal awards are listed, his work is part of Linköping University's broader mission to advance industry and societal innovation through research and education. Labs/Teams: Active within INDIG, contributing to interdisciplinary digitalization research. Advising/Grants: No specific grants or student advisees listed, though involved in thesis supervision. News coverage includes analyses on digital solutions' societal impacts and organizational changes.

Giulia Michielettoمشاهده پروفایل

استادیار

• Multi-agent Systems
• Aerial Robotics
• Control Theory
• +۴ مورد دیگر

Giulia Michieletto serves as an Assistant Professor (RTD-A) at the Department of Management and Engineering, University of Padova, where she leads research in networked control systems and multi-agent robotics. She is a core member of the SPARCS research team and holds the position of publicity and dissemination lead for the IEEE Robotics and Automation Society's Technical Committee on Multi-Robot Systems. Her academic foundation includes a Laurea Degree in Automation Engineering (2014) and a Ph.D. in Information Engineering (2018), both from the University of Padova, supplemented by a Visiting Researcher appointment at LAAS-CNRS (2016-2017) funded by the Eiffel Scholarship Program. Michieletto's research centers on multi-agent system modeling with specialized focus on aerial vehicle formations and nanosatellite coordination . She pioneers thrust-vectoring aerial platform design for enhanced environmental interaction, while advancing theoretical frameworks in bearing rigidity theory. Her work spans wireless sensor networks for environmental monitoring, multi-camera systems for cooperative tracking, and ground robotics for autonomous manipulation, addressing critical challenges in robustness, security, and distributed control. Analysis of her publication trajectory reveals deep integration of bearing rigidity theory with practical aerial robotics applications, evolving toward cybersecurity-enhanced navigation and distributed estimation for sensor networks. Recent work demonstrates increasing sophistication in handling GNSS spoofing attacks, multi-robot formation control under disturbances, and real-time surveillance systems. Her scientific recognition includes: Eiffel Scholarship Program of Excellence (2016) Finalist for IEEE RAS Italian Chapter Fabrizio Flacco Young Author Best Paper Award (2019) As an active educator, Michieletto supervises master's theses on contact-aware aerial robotics and mobile manipulation while securing research leadership as Principal Investigator for the Contact-Aware Robotics (CAR) project and co-PI for formation control research. Her grant portfolio spans national initiatives including TSTARK and INTERACT, plus EU H2020's AEROARMS, frequently as fellowship recipient. She drives innovation within the SPARCS research ecosystem, focusing on networked control solutions for complex robotic systems operating in constrained environments.

• Materials Science
• Mechanical Engineering
• Biomaterials
• +۳ مورد دیگر

Prof. Nicola Pugno is a Professor at the School of Engineering and Materials Science, Queen Mary University of London, affiliated with the Centre for Sustainable Engineering. His research focuses on bioinspired materials, metamaterials, and mechanical systems, with contributions to spider silk mechanics, structural engineering, and soft robotics. Research interests span biomaterials, mechanobiology, and advanced composites, emphasizing applications in energy, sustainability, and biomedical devices. His work integrates experimental, computational, and theoretical approaches to explore material properties and design novel structures. Publications highlight interdisciplinary innovations, such as bioinspired surfaces, hierarchical metamaterials, and soft robotics. Collaborations bridge engineering, biology, and physics to address challenges in material performance and environmental sustainability.

• Computer Science
• Medical Technology
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Hamit Soyel is a Research Fellow at Queen Mary University of London's School of Electronic Engineering and Computer Science, affiliated with the Dragonfly initiative. His work spans educational technology, healthcare innovation, and computer vision. His research focuses on enhancing learning through video-based methods, improving rheumatoid arthritis care via technology, and advancing facial recognition systems using geometric and algorithmic approaches. Key research themes include cognitive load optimization in educational videos, patient-clinician communication barriers in RA care, and robust image processing techniques for medical and facial analysis. His interdisciplinary approach bridges computer science with healthcare and education, aiming to develop practical technological solutions. Publications highlight trends in medical technology adoption, video instruction design, and facial expression recognition. He has contributed to patents in image enhancement and algorithms for 3D facial geometry analysis. His work reflects a commitment to both theoretical innovation and real-world applications. No scientific awards are explicitly listed, though his extensive publication record indicates recognition in his fields. He has advised no documented students but collaborates on projects involving healthcare technology and educational systems. His involvement in the Dragonfly project suggests affiliation with cross-disciplinary teams focused on interactive companions and affect-sensitive technologies. Research labs or groups are not explicitly mentioned, but his work aligns with Queen Mary's broader initiatives in AI and healthcare tech.