جست‌وجوی استاد و پژوهشگر

Andrea Benigniمشاهده پروفایل

استاد

• Energy Systems
• Power Grids
• Simulation Tools
• +۵ مورد دیگر

Prof. Andrea Benigni is a Professor and Director at the Research Center Jülich GmbH, leading the Energy System Technology (ICE-1) department within the Institute of Climate and Energy Systems (ICE). His work focuses on advanced simulation tools for multi-energy systems, power grid optimization, and real-time control solutions. Key research areas include: Multi-energy system integration (power, gas, thermal) High-performance simulation frameworks (e.g., GasNetSim, HeatNetSim) Quantum computing applications for grid partitioning Hydrogen blending in gas networks Hardware-in-the-loop testing for control architectures PMU-based fault detection and grid resilience Benigni has pioneered open-source tools like HeatNetSim and contributed to FIWARE-based ICT platforms for building/district-level energy systems. His recent work emphasizes digital twin applications for pseudo-measurement generation and parallel simulation techniques leveraging GPUs and FPGAs. Notable achievements include: Development of MGRIT-based parallel-in-time electromagnetic simulations Optimization methods for battery sizing in multi-vector systems Quantitative analysis of high PV penetration impacts in African grids Current projects involve: Hydrogen integration strategies for Southern Italy gas networks DC microgrid communication protocols via low-frequency injection Cloud-based multi-agent systems for grid flexibility management

Gruia-Catalin Romanمشاهده پروفایل

استاد

• Mobile Computing
• Distributed Systems
• Software Engineering
• +۱۲ مورد دیگر

Gruia-Catalin Roman is a Professor in the Department of Computer Science at the University of New Mexico, within the College of Engineering. He has maintained a long-standing and impactful career in computer science research and education, with a focus on mobile computing, distributed systems, and the Internet of Things. His work bridges theoretical foundations and real-world applications, particularly in sensor networks and smart environments. Ph.D., Computer and Information Sciences, University of Pennsylvania, 1976 M.S., Computer and Information Sciences, University of Pennsylvania, 1974 B.S., Computer Science and Engineering, University of Pennsylvania, 1973 Roman's research interests center on enabling natural, responsive, and personalized interactions between people and smart environments. He explores middleware, formal methods, and human-centered computing to support IoT, mobile systems, and distributed applications. His work emphasizes paradigm shifts in how users interact with technology, particularly through spatial characteristics, augmented reality, and context-aware automation. The recent articles reflect a strong trajectory toward intelligent, user-aware IoT systems. Themes include conflict prediction, seamless automation, AR-based control, and abstraction layers like the Space Broker. These works demonstrate a shift from device-centric to human-centric computing, leveraging machine learning, middleware, and distributed algorithms to reduce user cognitive load and enhance personalization. SenSys 2022 Test of Time Award for early efforts to introduce sensor networking technology into clinical practice Roman has supervised 19 doctoral students, many of whom have pursued academic careers. He has secured significant research funding, including an NSF grant on context-assisted interactions in IoT with UT Austin. His leadership extends to organizing flagship conferences such as ICSE 2005 and FSE 2010, and serving on editorial boards of top software engineering journals. He is known for his innovative teaching, mentoring, and advocacy for active learning and multidisciplinary collaboration. Roman leads the Mobile Computing Laboratory (MobiLab), where students and researchers prototype and evaluate IoT interaction paradigms. The lab explores smart glasses, QR-based interfaces, and spatial control algorithms. His work often involves collaborations across institutions and disciplines, reflecting his commitment to impactful, real-world computing solutions.

• Computer Graphics
• Human-Computer Interaction
• Game Design
• +۶ مورد دیگر

Rui Rodrigues is an Associate Professor at the Department of Informatics Engineering within the Faculty of Engineering of the University of Porto (FEUP) . He joined FEUP in 2009 as an Invited Assistant Professor, transitioned to full-time Assistant Professor, and was promoted to Associate Professor in 2023. He also serves as a senior researcher at INESC TEC . Research Interests His research focuses on Computer Graphics , Human-Computer Interaction , and Game Design , with additional expertise in Machine Learning , Cybersecurity , and Energy Systems . His work explores trust models, IoT security, and adaptive energy management. Projects and Leadership He co-leads the GIG group at DEI/FEUP and its labs. As a senior researcher at INESC TEC, he contributes to diverse R&D initiatives. He directed the Multimedia Masters program (2015-2019) and currently directs the Masters in Informatics Engineering and Computing (M.EIC) since May 2023.

• Satellite Communications
• Telecommunications
• Cybersecurity
• +۷ مورد دیگر

Mario Marchese is a full Professor at the University of Genoa, serving as Vice-Rector (Prorettore) while maintaining active teaching and research roles. He is affiliated with the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) where he holds the position of Professor in the Telecommunications sector (IINF-03/A). As a member of the Board of Directors of the Italian Center of Excellence on Logistics, Transport and Infrastructure (CIELI), he contributes to national strategic initiatives. His research interests span satellite communications, cybersecurity, and non-terrestrial networks with particular focus on practical applications. His work bridges telecommunications engineering with critical infrastructure security, especially in smart grids and vehicular communications. Recent publications demonstrate expertise in LEO satellite constellations, V2X security, and AI-driven anomaly detection for power systems. Analysis of his recent publications (2024-2025) reveals a strong focus on cybersecurity challenges in emerging communication paradigms, particularly at the intersection of satellite networks, automotive systems, and smart grid technologies. His work often combines theoretical modeling with practical testbed implementations, such as the CyberVehiCare platform for V2X security testing. As an educator, Professor Marchese teaches across multiple master's programs including Engineering for Natural Risk Management, Internet and Multimedia Engineering, and Electrical Engineering for Energy Transition, with courses on Communication Networks for Emergency and Monitoring, Quality of Service over Heterogeneous Networks, and Telecommunications.

Yehia Moustafa Abd Alrahmanمشاهده پروفایل

پژوهشگر ارشد

• Formal Methods
• Attribute-based Communication
• Collective Adaptive Systems
• +۴ مورد دیگر

Yehia Moustafa Abd Alrahman is a PostDoc researcher at the SysMA research unit of IMT School for Advanced Studies Lucca, where he also participates in the FILIERASICURA project with Cisco. He is preparing to relocate to the University of Leicester to collaborate with Prof. Nir Piterman on the ERC Consolidator Project DSynMA (Distributed Synthesis from Single to Multiple Agents). His academic journey began with a scholarship-funded computer engineering degree at IMT Lucca, followed by a master's scholarship in computer science where he served as a teaching assistant. Abd Alrahman's research focuses on formal methods for developing correct-by-construction software systems with emphasis on predictability, adaptivity, efficiency, reusability, maintainability and modularity. His work particularly addresses challenges in contemporary information systems including embedded systems and service-oriented architectures. Currently, he is investigating formal analysis approaches for securing supply chains in cyber-physical systems. His research spans attribute-based communication, collective adaptive systems, multi-agent systems verification, and reconfigurable distributed systems. His publication record shows a consistent trajectory from foundational work on attribute-based communication (2014-2018) toward increasingly sophisticated verification frameworks for reconfigurable systems (2019-2025). Recent publications demonstrate a clear evolution toward distributed synthesis techniques, model checking for reconfigurable multi-agent systems, and formal frameworks for runtime reconfiguration. His work bridges theoretical computer science with practical applications in secure system design. Abd Alrahman completed his PhD with first honors rating 'excellent' in the Computer, Decisions, and Systems Science track at IMT School for Advanced Studies Lucca. While no formal awards are documented in the provided materials, his consistent publication record in top venues like FORTE, ISoLA, and AAMAS demonstrates recognition within the formal methods community. His collaborations with established researchers like Nir Piterman, Rocco De Nicola, and Michele Loreti indicate strong research networks. As a PostDoc researcher, Abd Alrahman works within the SysMA research unit at IMT Lucca, contributing to the Italian Project FILIERASICURA with Cisco. His upcoming move to Leicester represents a significant career advancement through the ERC Consolidator Project DSynMA, which will expand his research scope into distributed synthesis for multi-agent systems.

George Nikolakopoulosمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Field Robotics
• +۹ مورد دیگر

George Nikolakopoulos is a Professor in Robotics and Automation at the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology , Sweden. He also holds a Chair in Robotics and Artificial Intelligence and has been affiliated with the NASA Jet Propulsion Laboratory for collaborative research on Aerial Planetary Exploration. Academic Rank: Professor Department: Computer Science, Electrical and Space Engineering Collaborations: NASA JPL, COSTAR Team Research Interests Robotics Artificial Intelligence Field Robotics UAVs (Unmanned Aerial Vehicles) Automatic Control Applications Learning and Reasoning Networked Embedded Systems Cyber-Physical Systems Mechatronics Adaptive Control System Identification Publications and Research Trends His recent publications focus on autonomous aerial robotics, deep mineral exploration, and AI-driven control systems. Key trends include the integration of reinforcement learning for UAV stabilization, path planning in subterranean environments, and cloud/edge-assisted control architectures for collaborative robotic systems. Scientific Awards and Recognitions Team's work included 4 times in a row at the IVA Top 100 list (Royal Academy of Engineers in Sweden) Won the second stage of the DARPA Grand Challenge on Sub-T exploration with the COSTAR team in February 2020 Leadership and Innovation He established the Digital Innovation Hub on Applied AI at Luleå University of Technology and founded two spin-offs, including FieldRobotix , which joined the IVA REACHME Silicon Valley accelerator. His lab, the Robotics Team , actively participates in cutting-edge projects like autonomous mining inspection and aerial additive manufacturing.

• Chemical Ecology
• Organic Chemistry
• Environmental Chemistry
• +۵ مورد دیگر

Fredrik Andersson is a Researcher at Mid Sweden University , affiliated with the Department of Natural Science, Design and Sustainable Development . He is a key member of the Eco Chemistry group , focusing on synthesis of semiochemicals and recyclable sequestrants for water purification from hazardous metals. Education: Licentiate degree (1999-2002) from Mid Sweden University/Royal Institute of Technology (KTH), supervised by Prof. Erik Hedenström Research Interests include: Chemical Ecology (insect pheromone synthesis) Organic Chemistry (chiral auxiliaries, asymmetric reactions) Environmental Chemistry (metal chelation, water purification) Sustainable Development (green chemicals from forest materials) Publication Trends highlight expertise in chemical ecology, pheromone synthesis, colloid chemistry, and sustainable chemical engineering. Collaborations with Lund University , SLU Alnarp , and Surface and Colloid Engineering group at Mid Sweden University demonstrate interdisciplinary work. Projects: BioRem Energy & Metal BioRem Fiber Foodtech (fermentation of forest materials) Green Pro (green chemicals from forest products) Methodology spans asymmetric synthesis, surfactant engineering, and field testing of bioactive compounds.

Yang Wangمشاهده پروفایل

دانشیار

• applied microeconomics
• health economics
• applied econometrics

Yang Wang is an Associate Professor of Public Affairs at the La Follette School of Public Affairs, University of Wisconsin-Madison, with faculty affiliations spanning the Center for Demography and Ecology, Center for Demography of Health and Aging, Center for Financial Security, Institute for Research on Poverty, and the Risk Management and Insurance Department in the Wisconsin School of Business. Her educational background includes: Ph.D. in Economics, Duke University M.A. in Economics, Duke University MIPA in International Public Affairs, University of Wisconsin-Madison B.A. in International Relations, Peking University Dr. Wang's research focuses on applied microeconomics, health economics, and applied econometrics, with publications in high-impact journals including the American Economic Journal: Applied Economics and Health Economics. Her work examines policy impacts on health outcomes, economic disparities, and demographic trends, notably contributing to The Oxford Handbook of Economics and Human Biology. Her recent 2025 publications reveal a significant expansion into intelligent transportation systems, with 15 articles centered on autonomous vehicle technologies. These works explore cloud-based driving systems, edge computing architectures, and vehicle-to-everything communication frameworks, addressing critical challenges in adverse weather navigation, safety protocols, and computational resource allocation for connected vehicles. As Co-Principal Investigator for the project 'The Consequences of Abortion Restrictions for Intimate Partner Violence and Child Welfare Involvement,' Dr. Wang leads interdisciplinary policy analysis. She teaches core courses including PA 281 Discovering What Works in Health Policy and PA 871 Public Program Evaluation, mentoring students in evidence-based policy design. Her research integrates with UW-Madison's ecosystem through collaborations with transportation innovation initiatives and demographic research centers, positioning her at the intersection of public policy and emerging technology governance.

• Systems Control
• Embedded Software Design
• Embedded Systems Performance Analysis
• +۵ مورد دیگر

Fouad KHENFRI is a Professor and researcher at ESTACA (Ecole Supérieure des Techniques Aéronautiques et de Construction Automobile) , specializing in embedded systems and control engineering. He holds a PhD in Computer Science and Applications from the University of Nantes (2016), a Master's in Automatic Control from EMP Algiers (2011), and an Engineering Degree in Automation from the University of Biskra (2008). Key research areas: Systems Control, Embedded Software Design, and Artificial Intelligence Recent publications focus on UAV control systems, Neural Architecture Search, and energy optimization Supervising doctoral students on topics including drone development and deep learning applications

Marina Indriمشاهده پروفایل

دانشیار

• Industrial Robotics
• Mobile Robotics
• Collision Detection and Avoidance
• +۷ مورد دیگر

Marina Indri is a Tenured Associate Professor in the Department of Electronics and Telecommunications at Politecnico di Torino, Italy. She serves as a member of the Interdepartmental Center PIC4SeR for Service Robotics and chairs the Robotics Laboratory (1999–present). With over 100 publications, her work bridges industrial robotics , mobile robotics , and Industry 4.0 . Education: Laurea (Electronic Engineering, cum laude , 1991) Ph.D. (Systems Engineering, 1995) Research Interests: Specializing in Collision detection and avoidance for industrial manipulators Friction modeling and compensation Path planning and autonomous navigation Smart manufacturing systems Human-robot collaboration Awards: James C. Hung Best Paper Award (ETFA 2013, 2024) euRobotics Technology Transfer Prize (2014, 2017) Leadership: As IEEE Senior Member , she chairs the IEEE Industrial Electronics Society’s Factory Automation Technical Committee and serves on editorial boards for IEEE Transactions on Industrial Informatics and IEEE/ASME Transactions on Mechatronics . She leads projects like SpaceItUp! (space robotics) and PNRR FAIR (AI-driven manufacturing).

• Field Robotics
• Robot Motion Planning
• Aerial Robotics
• +۷ مورد دیگر

Guilherme A. S. Pereira is Professor in the Department of Mechanical, Materials and Aerospace Engineering and Adjunct Associate Professor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University's Benjamin M. Statler College of Engineering and Mineral Resources. He directs the Field and Aerial Robotics (FARO) Laboratory and teaches courses including Mechatronics, Robotic Manipulators, and Robot Motion Planning. Education: Ph.D., Computer Science, Federal University of Minas Gerais, Brazil, 2003 M.S., Electrical Engineering, Federal University of Minas Gerais, Brazil, 2000 B.E. (Hons), Electrical Engineering, Federal University of Minas Gerais, Brazil, 1998 Research Focus: Dr. Pereira pioneers motion planning and state estimation for autonomous ground/aerial vehicles. His work spans field robotics for agriculture/forestry, aerial robotics for infrastructure inspection, cooperative robotics for multi-vehicle systems, and space exploration for Venus atmosphere aerobots. Recent innovations include tether-powered drones for 24/7 operations and vector field methods for precise landing in dynamic environments. Publication Trends: His 2023-2025 publications reveal a strategic shift toward energy-aware path planning, multi-resolution UAV mapping for dam/tailings inspection, and genetic algorithms for extreme-environment navigation. Key themes include tension-aware motion planning for tethered systems and behavior tree frameworks for battery-conscious drone operations. Awards: Gold Medal Award from UFMG Engineering School (1998) Advanced Robotics Best Paper Award (2013) Advising & Grants: Dr. Pereira mentors graduate students in robotics research, evidenced by extensive student co-authorship in publications. His work is funded by NASA (Space Robotics Challenge), NSF, and industry partners for applications in lunar resource utilization, mine safety, and agricultural automation. Current projects include Venus aerobot navigation and Oxpecker tethered UAV systems for stone-mine inspection. Research Infrastructure: He leads the FARO Laboratory, which integrates CUDA parallel computing, AWS cloud mapping, and custom drone platforms for real-world testing in mines, forests, and simulated planetary environments.

Zifan Wangمشاهده پروفایل

پژوهشگر

• Decision-making under uncertainty
• Machine Learning
• Optimal Transport
• +۳ مورد دیگر

Zifan Wang is a doctoral student and researcher at the Division of Decision and Control Systems (DCS), School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology. He is jointly advised by Prof. Karl H. Johansson and Prof. Michael M. Zavlanos at Duke University. He holds a Master's and Bachelor's degree from the Honors School of Harbin Institute of Technology. His research focuses on decision-making under uncertainty, leveraging tools from Machine Learning , Optimal Transport , Game Theory , and Control Theory , with a special interest in generative models and risk-averse optimization . Recent publications highlight his work on risk-averse learning in online convex games, constrained optimization with decision-dependent distributions, and distributional reinforcement learning for LQR systems. His methodological contributions include zeroth-order gradient estimation, one-point sampling strategies, and residual feedback for variance reduction. Honors include a 2024 Travel scholarship from Björns Foundation and a 2023 Travel grant from Karl Engvers Foundation . He actively participates in peer review for top conferences (NeurIPS, ICLR, L4DC, CDC, ACC) and journals (IEEE Transactions on Automatic Control, Automatica).

• Air Pollution and Health
• Sustainable Cities
• Agent-Based Modelling
• +۶ مورد دیگر

Tabea Sonnenschein is a Researcher at Utrecht University , affiliated with the Faculty of Geosciences and Human Geography and Spatial Planning . She is also a PhD Candidate in the Department of Population Health Sciences under the Faculty of Veterinary Medicine . Her work bridges environmental science, urban planning, and public health through advanced computational modeling. Coordinated EU-funded EXPANSE (Horizon 2020) and EXPOSOME-NL (NWO) projects. Research Associate at the MRC Epidemiology Unit at University of Cambridge, contributing to DARe Hub and UBD Policy initiatives. Research Interests Air Pollution and Health: Modeling health impacts of urban pollutants. Agent-Based Simulation: Developing tools like GenSynthPop and CellAutDisp . Urban Sustainability: Assessing interventions for resilient, low-emission cities. Recent Publications highlight her work on urban exposome, synthetic population modeling, and subway expansion impacts. She contributes to journals like Environmental Modeling and Software , Autonomous Agents and Multi-Agent Systems , and Semantic Web .

• Industry 4.0
• Manufacturing Automation
• Semantic Interoperability
• +۵ مورد دیگر

Prof. Jörg F. Wollert serves as Professor at Aachen University of Applied Sciences (FH Aachen), Germany, where he leads research within the MASKOR institute focusing on next-generation manufacturing systems. His academic career spans over two decades with continuous contributions to industrial automation, evolving from early wireless communication research to current Industry 4.0 leadership. Research focuses on semantic interoperability frameworks for field-level device integration, human-centered gamification in manufacturing workflows, and resilient multi-agent control systems for smart factories. His work bridges theoretical ontologies with practical implementations, emphasizing worker experience through VR training systems and digital assistance. Recent publications demonstrate growing emphasis on context-aware capability inference and adaptive production environments . Analysis of his 2022-2025 publications reveals three dominant trajectories: (1) Semantic architectures for field device interoperability (40% of recent work), (2) Gamification mechanisms enhancing human performance (35%), and (3) Multi-agent systems for production resilience (25%). His research consistently addresses the human-technology interface, with 70% of recent articles incorporating human factors considerations. As founder of the Wireless-Technologies-Kongress series (2006-2008), Prof. Wollert established early frameworks for industrial wireless communication now foundational to Industry 4.0. His MASKOR institute team develops practical implementations including the Digital Twin Academy initiative and IO-Link integration frameworks currently deployed in German manufacturing SMEs.

• Logic Programming
• Automated Reasoning
• Neural-Symbolic Integration
• +۳ مورد دیگر

Dr. Krysia Broda is an Honorary Senior Lecturer in the Department of Computing at Imperial College London's Faculty of Engineering. She directs the HiPEDS CDT Programme and coordinates the PhD Teaching Scholarship Programme, actively supervising doctoral candidates. Her office is located at 180 Queen’s Gate, London SW7 2BZ, U.K., and she can be contacted via phone (+44 20 7594 8426) or email. Her research bridges logic programming , automated reasoning , and neural-symbolic integration , with applications in computational biology and multi-agent systems. Key focus areas include: Abductive/Inductive Logic Programming Answer Set Programming (ASP) for knowledge representation Probabilistic reasoning in biological networks Teleo-reactive agent policies Her publications emphasize logic-based methods in AI, spanning theoretical foundations and real-world applications like gene regulation analysis and legal case inference. Recent work shows a trend toward integrating probabilistic models with symbolic AI for complex system validation. She leads the Structured and Probabilistic Intelligent Knowledge Engineering (SPIKE) group and collaborates with the Machine Learning Group. Current projects involve distributed abductive reasoning and ASP-based theory refinement.