جست‌وجوی استاد و پژوهشگر

• Operations Management
• Supply Chain Management
• Circular Economy
• +۲ مورد دیگر

Behzad Maleki Vishkaei serves as a Research Fellow in Strategy and Operations at Bocconi University in Milan, Italy. His academic work centers on sustainable operational frameworks within corporate strategy contexts, with particular emphasis on circular economy integration and technology-driven supply chain solutions. He maintains active research collaborations with Professor P. De Giovanni across multiple high-impact publications. His research portfolio spans Operations Management , Supply Chain Resilience , and Circular Business Models , investigating how blockchain, IoT, and heuristic algorithms can transform traditional operational paradigms. Key focus areas include product-as-a-service transitions, food-sharing platform optimization, and subscription economy mechanics within technology sectors. His methodologies frequently combine game theory with sustainability metrics to address complex business-environmental tradeoffs. Analysis of recent publications reveals a pronounced trend toward applied sustainability in operations research, with 83% of 2024-2025 outputs focusing on circular economy implementations. His work consistently bridges theoretical modeling (particularly game-theoretic approaches) with practical case studies across mobility, food systems, and manufacturing sectors. The strong collaboration pattern with De Giovanni demonstrates a strategic research alliance producing interdisciplinary insights at the operations-sustainability nexus. No scientific awards were documented in the available materials. Regarding academic supervision and funding, the provided text contains no references to student mentorship, doctoral committees, or externally secured research grants beyond the evident institutional affiliation with Bocconi University.

• Embedded Systems
• Internet of Things
• Wireless Sensor Networks
• +۵ مورد دیگر

João Luís Marques Pereira Monteiro is a Full Professor at the Department of Industrial Electronics, School of Engineering, University of Minho, Portugal. He has been with the university since 1980, progressing from Assistant Trainee to his current position. He has held significant leadership roles including Pro-rector (2005-2009), Director of the Algoritmi Center (1998-2006, 2010-2013), and Dean of the School of Engineering (2013-2019). He currently coordinates the Embedded Systems Research Group (ESRG) and is a Senior Researcher at the Algoritmi Research Center. His educational background includes: Bachelor's degree in Electrical Engineering and Computers from the University of Porto (1980) PhD in Informatics and Systems Engineering - specialization in Computer Engineering - from the University of Minho (1991) Habilitation (Dr habil) from the University of Minho (2003) Professor Monteiro's research spans multiple domains in engineering and computer science, with a strong focus on practical applications. His work in embedded systems has led to innovations in real-time processing, sensor networks, and hardware-software co-design. In medical applications, he has developed textile-based sensors for vital sign monitoring. His recent work focuses on computer vision for autonomous vehicles, particularly 3D object detection from point clouds. He also contributes to educational initiatives in data science and AI, particularly in developing countries. His recent publications show a clear progression toward applications requiring real-time processing on resource-constrained devices. There's a strong emphasis on autonomous systems, particularly self-driving vehicles, with multiple papers on 3D object detection from point clouds. His work bridges embedded systems, computer vision, and wireless communications, often focusing on practical implementations for real-world applications like emergency responder localization and medical monitoring. Professor Monteiro has supervised more than a dozen doctoral students, many of whom have gone on to become faculty members at national and international universities. His research has been supported by various funding agencies including FCT (Portuguese), ADI (Portuguese), and FP7 (European funding), as well as industry partners. He leads the Embedded Systems Research Group (ESRG), which is part of the Algoritmi Research Center. The ESRG focuses on developing embedded solutions for various applications including autonomous vehicles, medical devices, and industrial monitoring systems. The group works on both hardware and software aspects of embedded systems, with particular expertise in real-time processing and resource-constrained environments.

• Embedded real-time systems
• Computer architectures
• Hardware/software co-design for IoT
• +۵ مورد دیگر

Tiago Manuel Ribeiro Gomes is an Assistant Professor at the Department of Industrial Electronics within the School of Engineering at the University of Minho, Portugal. He is also a Senior Researcher at Centro ALGORITMI and a member of both the IE R&D Group and the ESRG R&D Lab. Holding a Ph.D. in Electronics and Computers Engineering, his research focuses on embedded real-time systems, computer architectures, and hardware/software co-design for IoT devices. Academic Degree: Ph.D. in Electronics and Computers Engineering Current Position: Assistant Professor, School of Engineering, University of Minho Gomes has led extensive research in IoT systems over 15 years, particularly in hardware acceleration for automotive LiDAR sensors, secure embedded systems, and efficient OS frameworks for low-end devices. His work includes the EU-funded CROSSCON project and spans hardware-assisted security, dynamic binary translation, and wireless sensor networks. Recent publications highlight his expertise in automotive sensor technology, with articles like FOG-Zip for LiDAR compression, SecureQNN for TinyML security, and Hardware-Assisted Range Image Generation for LiDAR processing. His work bridges IoT, embedded systems, and cybersecurity, focusing on real-time performance and hardware-software co-design. Projects include the development of reliable/secure automotive sensor solutions and EU project CROSSCON. He contributes to open-source frameworks like UTango for IoT security and investigates heterogeneous fault tolerance architectures using Arm/RISC-V processors. Labs: IE R&D Group, ESRG R&D Lab Education: Ph.D. in Electronics and Computers Engineering, Master’s in Telecommunications Engineering (both from University of Minho)

José Ribeiro Baptistaمشاهده پروفایل

استادیار

• Power Quality
• Electrical Machines
• Renewables
• +۳ مورد دیگر

José Ribeiro Baptista is an Assistant Professor in the Department of Electrical Engineering at the University of Trás-os-Montes e Alto Douro (UTAD) and a Senior Researcher at INESCTEC's Power and Energy Systems Centre since October 1, 2012. His academic journey began with a BSc in Electrical Engineering from UTAD in 1991, followed by an MSc in Power Electronics in 1997, and culminated with a PhD in Electrical Engineering in 2007, focusing on harmonic distortion analysis in low-voltage distribution networks. His educational background includes: BSc in Electrical Engineering, University of Trás-os-Montes e Alto Douro (1991) MSc in Power Electronics, University of Trás-os-Montes e Alto Douro (1997) PhD in Electrical Engineering, University of Trás-os-Montes e Alto Douro (2007) Dr. Baptista's research spans multiple critical areas in modern power systems. His primary interests include power quality, electrical machines, and renewable energy integration. His work demonstrates a strong interdisciplinary approach, connecting electrical engineering fundamentals with sustainable energy solutions and smart grid technologies. He has made significant contributions to power electronics, particularly in silicon carbide converter design, and has explored innovative applications in building energy management systems and water-energy nexus solutions. His recent publications reveal a clear trend toward sustainable energy solutions, with work covering silicon carbide converter technologies, rainwater harvesting systems integrated with renewable energy, advanced forecasting techniques for energy markets, wind farm optimization, and contextual energy management systems for buildings. His research bridges theoretical electrical engineering concepts with practical applications that address contemporary energy challenges. Scientific recognition includes: Senior Researcher at INESCTEC since 2012 Active publication record in high-impact journals including Energies, Sustainability, and Electronics As an academic advisor, Dr. Baptista has supervised multiple graduate students through their thesis work at UTAD, focusing on renewable energy communities, building energy management contexts, distribution network optimization with virtual power plants, and the impact of electric vehicle charging stations on power quality. His research group appears to be actively engaged in both theoretical and applied aspects of modern power systems, with particular emphasis on sustainability and efficiency. His laboratory work centers around the Power and Energy Systems Centre at INESCTEC, where he contributes to advancing research in power quality, electrical machines, and renewable energy integration. Current projects suggest ongoing exploration of smart grid technologies, energy market forecasting, and innovative approaches to energy-water system integration.

• Signal processing for communications
• MIMO communications
• Wireless, ad hoc and sensor networks
• +۱۱ مورد دیگر

Nuno Manuel Branco Souto is an Associate Professor (with Habilitation) at the Department of Information Science and Technology, School of Technologies and Architecture, ISCTE - University Institute of Lisbon. He also holds leadership roles as Deputy Director of both the School of Technologies and Architecture and the Institute of Telecommunications - IUL, where he is an Integrated Researcher in the Radio Systems Group. Aggregation in Information Sciences and Technologies, ISCTE-University Institute of Lisbon, 2021 PhD in Electrical and Computer Engineering, Higher Technical Institute - UTL, 2006 Bachelor's degree in Aerospace Engineering, Higher Technical Institute - UTL, 2000 His research focuses on signal processing for communications , MIMO systems , channel estimation , reconfigurable intelligent surfaces (RIS) , and optimization in wireless communications . He explores advanced techniques in hybrid precoding , index modulation , and energy-efficient 5G/6G network design , contributing significantly to next-generation wireless technologies. His recent publications (2020–2024) reveal a strong trend toward reconfigurable intelligent surfaces (RIS) , millimeter-wave and THz communications , molecular communication with deep learning , and anti-UAV systems using SDR-based jamming and spoofing . These works appear in high-impact journals such as IEEE Transactions, Sensors, and Applied Sciences, reflecting his leadership in cutting-edge wireless communication research. Dr. Souto has no scientific awards explicitly listed in the provided text. He has been actively involved in teaching, research supervision, and academic leadership. His collaborations span multiple institutions and include prominent researchers such as Pavia, Velez, Correia, Sebastião, and Dinis. He contributes to both theoretical advancements and practical implementations in wireless systems, including software-defined radio (SDR) applications for UAV security and scalable video broadcasting in cellular networks. Dr. Souto is affiliated with the Radio Systems Group at the Institute of Telecommunications - IUL, where his team conducts research on next-generation wireless networks, signal processing algorithms, and communication system optimization.

Lianshe Fuمشاهده پروفایل

پژوهشگر

• Luminescent Materials
• Organic-Inorganic Hybrids
• Lanthanide Complexes
• +۷ مورد دیگر

Lianshe Fu is a Researcher in the Department of Physics at the University of Aveiro, Portugal, affiliated with the CICECO-Aveiro Institute of Materials. He holds a PhD in Chemistry, with postdoctoral experience in France, Portugal, and Hong Kong. His research focuses on luminescent materials, including lanthanide complexes in organic-inorganic hybrids, luminescent solar concentrators, and photocatalytic systems. Education: B.Sc. in Chemistry (1987, China); M.Sc. in Analytical Chemistry (1990, CIAC, China); PhD in Chemistry (1996, China). Postdoctoral work at Université Blaise-Pascal (France), University of Aveiro (Portugal), and City University of Hong Kong (2006). Research Interests: Design of luminescent materials for LEDs and solar concentrators, photocatalytic systems for environmental remediation, and MOF-based sensors for heavy metals and antibiotics. His work emphasizes energy-efficient materials and environmental applications. Recent projects include optimizing luminescent solar concentrators using machine learning and developing novel MOFs for antibiotic detection. He collaborates internationally, with publications in ChemPhysChem , ACS Applied Materials , and Journal of Materials Chemistry . Labs/Teams: Active in CICECO, leading projects on functional hybrid materials and photonic applications. His work bridges fundamental materials science and practical applications in energy and environment.

Miguel Sales Diasمشاهده پروفایل

پژوهشگر

• Machine Learning
• Smart Cities
• Immersive Technologies
• +۶ مورد دیگر

Miguel Sales Dias is affiliated with ISCTE - Instituto Universitário de Lisboa, specifically the Iscte Business School. His research spans multiple domains, including Machine Learning , Immersive Technologies , and Urban Mobility . His work focuses on: Developing AI-driven systems for energy consumption optimization in public buildings Creating co-design interfaces for housing customization Exploring mHealth applications for cardiac diagnostics Advancing virtual reality for education and visitor experiences Recent publications demonstrate expertise in smart city solutions , bioinformatics , and human-computer interaction . While specific awards or educational background weren't explicitly mentioned, his extensive publication record indicates significant contributions to interdisciplinary research.

João Pedro Machado Vitorinoمشاهده پروفایل

مدرس پاره‌وقت

• Machine Learning
• Artificial Intelligence
• Cybersecurity
• +۳ مورد دیگر

João Pedro Machado Vitorino is a part-time lecturer and researcher at the Polytechnic Institute of Porto's School of Engineering, affiliated with GECAD. He is pursuing a Ph.D. in Informatics Engineering (Artificial Intelligence) at the University of Porto and holds an MSc in Artificial Intelligence Engineering. Education : Ph.D. (in progress), MSc, and BSc in Informatics/Artificial Intelligence Engineering Research : Focuses on machine learning robustness, explainability, and adversarial attack simulation for cybersecurity applications Projects : Involved in 7 EU/National R&D initiatives (2021-2025), including BEHAVIOR (2024-2025) and CYDERCO (2023-2025) His recent publications (2023-2025) span cybersecurity datasets , adversarial learning , malware detection , LLM security , and energy-efficient AI . He co-organized the 36th European Simulation & Modelling Conference (2022) and peer-reviewed for Pattern Recognition and Computers & Security . Awards : IEEE Outstanding MSc Thesis (2023), Engineers Association Innovation Award (2024), multiple merit certificates Skills : Machine Learning, AI Security, Network Analysis, and 3 professional certifications (Cisco, Microsoft, Airbus)

• Artificial Intelligence
• Distributed Computing
• Energy Communities
• +۳ مورد دیگر

Rafael Duarte Pereira da Silva is a Research Fellow at the Research Group on Engineering and Intelligent Computing for Innovation and Development (GECAD) within the School of Engineering of the Polytechnic Institute of Porto. He is currently pursuing his doctoral degree in Artificial Intelligence and Intelligent Systems Engineering while developing AI-driven solutions for energy communities and smart buildings. His academic background includes: Master's degree in Artificial Intelligence Engineering (2025) from the Polytechnic Institute of Porto, with a dissertation on "Distributed Intelligent Management of Citizen Communities" (grade: 19/20). Bachelor's degree in Computer Engineering (2022) from the Polytechnic Institute of Porto, featuring a green computing project for smart building energy management. Currently enrolled in a doctoral program in Artificial Intelligence and Intelligent Systems Engineering (since 2025). Rafael's research spans Artificial Intelligence, Distributed Computing, and Energy Communities, focusing on human-centric intelligent systems for resource optimization. He develops virtual energy communities using IoT devices and AI models to enable dynamic interaction with community members while managing distributed resources. His work emphasizes sustainability through green computing principles and integration of renewable energy sources in smart infrastructure. His 2024-2025 publications reveal a cohesive research trajectory centered on the Caravels framework for decentralized energy management. Key themes include container-based infrastructure for community resource sharing, peer-to-peer energy trading with storage optimization, and AI-driven demand response systems. His work bridges theoretical AI models with practical IoT implementations, particularly in energy forecasting and HVAC control, demonstrating significant contributions to sustainable consumption in smart buildings and community-scale energy systems. Advising Co-supervised three undergraduate thesis projects at the Polytechnic Institute of Porto on IoT notification systems, Linux-based single-board computer configuration, and open-source IoT devices for smart buildings. Grants and Projects Sa4CPS: Secure situational awareness for critical cyber-physical systems (COMPETE2030-FEDER and ITEA) NGS: New Generation Storage (PRR initiative) TIoCPS: Trustworthy and Smart Communities of Cyber-Physical Systems (P2020 and ITEA programs) As an active GECAD member, Rafael contributes to server infrastructure management and organizes scientific events, including public demonstrations that secured the group's "Excellent" FCT evaluation rating. He has coordinated annual team energizing events for two consecutive years and participated in developing virtual energy community systems that showcase GECAD's research impact in distributed computing and IoT integration.

Ana Claudia Loureiroمشاهده پروفایل

استادیار

• Educational Technology
• Digital Competence
• Computational Thinking
• +۵ مورد دیگر

Ana Claudia Loureiro is an Assistant Professor at the Polytechnic Institute of Viseu and Polytechnic Institute of Bragança , with a PhD in Educational Sciences from the University of São Paulo (2017) and postdoctoral work in Educational Technology at CIEB, Portugal (2021). She is an integrated researcher at the Distance Education and Elearning Laboratory (LE@D) of Universidade Aberta since 2024 and a regular member of NICA (Interdisciplinary Center for Adolescents and Children) at the University of the Azores. PhD in Educational Sciences (Language and Digital Education), University of São Paulo (2017) Postdoctorate in Educational Technology, CIEB, Polytechnic Institute of Bragança (2021) Specialization in Educational Technologies, Pontifical Catholic University of São Paulo (2013) Bachelor’s in Pedagogy, Saint Jude Thaddeus University (1989) Her research focuses on technologies in education , computational thinking , educational robotics , digital competence frameworks , and active methodologies . She explores the intersection of digital tools and inclusive practices in early childhood and special education contexts. Recent publications analyze the integration of robotics in inclusive settings, portfolio assessment in ICT internships, and digital competence development for teachers in Portugal and Cape Verde. Key article trends include digital competence frameworks , inclusive educational technologies , computational thinking , and portfolio assessment . Collaborative research with institutions across Brazil, Portugal, and Spain underscores her work’s international impact. 2024 : BEST PRESENTATION (Universitat Politècnica de València) 2021 : ONE OF THE BEST PAPERS (Universitat Politècnica de València) As a trainer since 2000, she collaborates with national and international institutions on ICT and educational technology. She participates in scientific committees for conferences, evaluates research, and contributes to curriculum design in digital education. Current roles include editorial board memberships and conference organizing committees, reflecting her leadership in educational technology research.

Junkai HEمشاهده پروفایل

استادیار

• Operations Research
• Supply Chain Management
• Remanufacturing
• +۳ مورد دیگر

Junkai HE serves as an Assistant Professor in the Operations, Supply Chain and Information Management department at KEDGE Business School and is affiliated with the CESIT research center since September 2024. He earned his PhD in mathematics and computer science from Paris-Saclay University (France) in 2020, following which he conducted postdoctoral research at IRT SystemX and Télécom SudParis. His research specializes in decision making under uncertainty through advanced modeling and algorithm design , with primary applications in supply chain management , remanufacturing , and maintenance optimization . Key methodologies include stochastic programming, multi-objective optimization, and predictive maintenance modeling for complex industrial systems. Analysis of his 2019-2024 publications reveals a consistent trajectory in applying operations research to sustainable industrial practices. His work increasingly focuses on uncertainty integration in disassembly line balancing and remanufacturing systems, while maintaining strong foundations in classical scheduling problems for manufacturing and logistics. Publications predominantly appear in top-tier journals like the International Journal of Production Economics and Computers & Operations Research. He teaches core operations management courses including operations research, production planning, and logistics, demonstrating active educational engagement. His research at CESIT likely involves industry collaborations addressing real-world supply chain challenges, though specific grant details are unmentioned. As a CESIT researcher, he contributes to KEDGE's industrial technology research initiatives, bridging theoretical optimization methods with practical applications in manufacturing and logistics systems. Current work appears oriented toward sustainable supply chain innovations and digital transformation of maintenance practices.

Jingen Zhouمشاهده پروفایل

استادیار

• Supply Chain Risk Management
• Cruise Industry
• Collision Avoidance Technology
• +۵ مورد دیگر

Jingen Zhou serves as an Assistant Professor in the Department of Operations, Supply Chain and Information Management at KEDGE Business School, bringing international expertise from academic and professional experiences across the United States, Japan, China, and Australia. His doctoral research at the Australian Maritime College (University of Tasmania) established his specialization in maritime supply chain systems. Dr. Zhou's scholarly foundation includes a PhD in Management Science and Commerce with explicit focus on Maritime Supply Chain, reflecting his deep engagement with global maritime systems. His research portfolio demonstrates consistent thematic alignment with operational challenges in maritime contexts. His primary research thrust centers on maritime supply chain risk management, where he integrates collision avoidance technologies, ship AIS data analytics, and climate change risk assessment. This work frequently examines cruise industry dynamics through empirical studies in Shanghai and China, addressing pandemic impacts and supply chain resilience. His methodological approach combines Bayesian networks, deep learning, and complex network analysis to solve real-world navigation and logistics problems in coastal and riverine environments. Recent publications reveal a clear trajectory toward data-driven maritime solutions, with 14 articles published between 2023-2025 spanning marine traffic prediction, cruise network analysis, and multimodal hub optimization. His work consistently employs empirical methodologies focused on Asian maritime contexts, particularly China's evolving port and cruise ecosystems, while leveraging cutting-edge computational techniques for risk assessment. Dr. Zhou actively contributes to academic discourse as a reviewer for multiple journals and maintains collaborative research ties with industry partners and international scholars. His pre-KEDGE research involvement in Australian and Chinese projects demonstrates sustained engagement with maritime logistics challenges across different regulatory and operational environments.

António Palma Dos Reisمشاهده پروفایل

استاد

• Digital Transformation
• Information Systems
• Robotic Process Automation (RPA)
• +۷ مورد دیگر

António Palma Dos Reis is a Professor at the ISEG School of Economics and Management at the University of Lisbon, specializing in Management Science and Information Systems. He holds a PhD in Management Science from the University of Wisconsin-Milwaukee (1996), along with MS (1993) and BS (1989) degrees in Management and Information Systems. His professional roles include leadership positions such as Dean and President of the ADVANCE research unit. His research focuses on digital transformation, robotic process automation (RPA), blockchain applications, and technology adoption in organizations. Notable studies include analyzing RPA's value for enterprises and blockchain's role in online gambling. He has advised over 30 master’s students on topics like cloud security, RPA implementation, and AI-driven decision systems. Reis has served on the scientific council of the Open University of Lisbon and contributed to institutional governance as a member of ISEG’s Senate. His work bridges theoretical frameworks (e.g., TOE model) with practical applications in procurement systems, mobile business, and financial decision-making. His publications span 30+ years, covering strategic performance analysis, e-procurement systems, and collaborative decision-making. Current research emphasizes organizational ambidexterity and post-AI societal impacts, reflecting a dual focus on technological innovation and managerial strategy.

• Optimization
• Robotics
• Data Analytics
• +۳ مورد دیگر

Ana Isabel Pinheiro Nunes Pereira serves as Professor in the Department of Mathematics at Polytechnic Institute of Bragança, where she also holds the position of vice-coordinator for the Research Centre in Digitalization and Intelligent Robotics (CeDRI). She maintains dual institutional affiliations as a research member at Minho University's Algorithm Research Centre and represents Portugal in the European Consortium of Mathematics in Industry. Her academic foundation includes a PhD in Numerical Optimization from Minho University (2006), establishing her expertise in computational mathematics. This background directly informs her current research trajectory. Professor Pereira's research program centers on Optimization and Robotics , with expanding applications in Data Analytics and Precision Agriculture . Her methodology integrates Machine Learning for biosensor enhancement and Computer Vision for agricultural disease detection, while maintaining strong commitments to innovative teaching tools in mathematical education. This interdisciplinary approach bridges theoretical computation with industrial problem-solving through her ECMI role. Recent publications demonstrate a clear trend toward sustainability-focused applications, particularly in agricultural technology (olive/vineyard systems) and medical device optimization. Her work consistently applies multi-objective clustering and predictive modeling to translate complex data into actionable solutions for healthcare and farming industries. With over thirty research projects completed, her grant portfolio emphasizes robotics implementation , optimization frameworks , and educational innovation . She has supervised 62 students across master's and doctoral programs, fostering next-generation expertise in computational mathematics. Her leadership at CeDRI drives the institute's strategic focus on digital transformation, while her Algorithm Research Centre membership enables cross-institutional collaboration on industrial mathematics challenges. These roles position her at the forefront of applied computational research in Portugal.

• Cloud Computing
• Distributed Systems
• Data Processing
• +۴ مورد دیگر

Luis Antunes Veiga is an Associate Professor and Senior Researcher at INESC-ID Lisbon, affiliated with the Distributed Systems Group and the Computing Systems and Communication Networks Laboratory. His research focuses on Cloud Computing, Edge Computing, Distributed Systems, and Big Data processing. He teaches courses such as 'Cloud Computing and Virtualization' and 'Operating Systems, Virtualization and Cloud Computing.' His work emphasizes scalable systems, network-aware workflows, and resource-efficient data processing. Research Interests: His primary areas include distributed systems architectures, edge computing frameworks, graph processing algorithms, and software-defined systems. He explores topics like latency-aware network design, resource auction mechanisms for edge environments, and interoperable service workflows. His contributions span theoretical frameworks and practical implementations, such as the RATEE system for edge resource trading and the VeilGraph incremental graph processing framework. Publications: His recent work addresses challenges in distributed systems, such as elastic scaling of stream processing, efficient graph processing in Spark, and latency optimization in internet-scale workflows. These publications reflect a trend toward integrating software-defined approaches with edge and cloud infrastructures. Notable Awards: Best Young Researcher INESC-ID, Excellence in Teaching (IST 2012), and a Best-Paper Award at ACM/IFIP/Usenix Middleware 2007. Labs & Teams: Active in the Computing Systems and Communication Networks Laboratory, leading projects on edge computing and distributed systems.