جستجوی استاد راهنمای دانشگاهی

Laurens Bliekمشاهده پروفایل

استادیار

• Artificial Intelligence
• Optimization
• Sustainable Logistics
• +۵ مورد دیگر

Laurens Bliek is an Assistant Professor at the Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology (TU/e). He specializes in combining artificial intelligence (AI) with optimization techniques for computationally intensive problems, focusing on sustainable applications such as public transport, electric vehicles, and CO 2 reduction. Education: MSc in Applied Mathematics (2014), PhD in Systems & Control (2019) from Delft University of Technology. Prior Role: Postdoctoral researcher at the Algorithmics group, Delft University of Technology. Research Interests: His work addresses AI-driven optimization of expensive cost functions, particularly in logistics, communications, and healthcare. He develops methods to handle computationally intensive simulators and digital twins, emphasizing real-time decision-making and sustainability. Recent Publications: His research spans predictive maintenance using Fourier graph neural networks, real-time container yard allocation, and 5G network optimization. Articles appear in journals like IEEE Transactions on Neural Networks and Learning Systems and Computer Networks . Collaborations: Laurens collaborates with industry partners (LioniX, Dutch Railways) and organizations (European Supply Chain Forum, Logistics Community Brabant). He co-leads the 12-PhD program AI Planner of the Future and participates in AI sustainability working groups. Supervision: Co-promotor of PhD students Ya Song and Abdo Abouelrous, focusing on AI applications in routing and maintenance logistics.

• Hybrid Rocket Engines
• Combustion Instability
• Solid Propellant Development
• +۵ مورد دیگر

Filippo Masseni is a Fixed-term Tenure-Track Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) , Politecnico di Torino. His academic and research activities focus on aerospace propulsion systems, particularly hybrid rocket engines and solid propellant development. Scientific disciplinary sector: IIND-01/G - Aerospace Propulsion ERC sector: PE8_1 - Aerospace Engineering Research Interests include combustion instability modeling, coupled propulsion/trajectory optimization, multidisciplinary design optimization, and robust optimization techniques. His work bridges theoretical modeling with practical applications in hybrid rocket engines and advanced propulsion systems. In teaching , he serves as Course Lecturer for Combustion in Aerospace Engines and supervises courses like Aeronautical Propulsion and Aircraft Engines, spanning academic years 2019-2025. Supervised PhD Students : Vincenzo Madonia, Daniele Tozzi, Leonardo Stumpo, Alessandra Zumbo, Lorenzo Folcarelli, Giovanni Polizzi Research group: Aerospace Propulsion (DIMEAS)

Edmund Spencerمشاهده پروفایل

دانشیار

• Space Plasma Physics
• Space Weather
• Radio Frequency Instrumentation
• +۳ مورد دیگر

Dr. Edmund Spencer is an Associate Professor in the Department of Electrical and Computer Engineering at the University of South Alabama , with research focused on space plasma physics and space weather . He designs advanced instruments for space science, develops theoretical frameworks for plasma characterization, and applies stochastic optimization algorithms to complex systems. Ph.D. Electrical and Computer Engineering, University of Texas at Austin M.S. Electrical and Computer Engineering, University of Texas at Austin B.S. Electrical and Electronics Engineering, University of Leicester, UK His work bridges space instrumentation with nonlinear magnetospheric dynamics , particularly in geomagnetic substorms and solar wind-earth magnetosphere interactions . Current projects include onboard space weather modules for satellites and advanced antenna systems for CubeSats . Recent research trends from his 15 most recent publications (2019-2025) include: Development of time-domain impedance probes for ionospheric electron density measurements Applications of machine learning in substorm prediction Hybrid physics-black-box modeling for Dst index forecasting Advanced antenna designs for small satellites 3D Particle-in-Cell simulations for RF instruments Collisional effects in plasma probe measurements Scientific contributions include: NSF CAREER Award (2013) for RF impedance probe development Key role in NASA's USIP CubeSat missions (e.g., JAGSAT I) Leveraging WINDMI model for substorm dynamics analysis He teaches graduate and undergraduate courses in electromagnetics and stochastic processes , contributing to the department's space science integration in engineering education.

Helene Ingeborg Sætersdalمشاهده پروفایل

دانشیار

• Human Resources Management
• Organizational Behavior
• Strategic Management
• +۴ مورد دیگر

Helene Ingeborg Sætersdal serves as Associate Professor in Human Resources and Dean of the School of Communication, Leadership and Marketing at Kristiania University College, where she has held teaching, research, and leadership positions since 2000 including head of department, dean, and acting pro-rector for education. Her research centers on Human Resources Management within evolving organizational contexts, with primary focus areas including the intersection of automation and work practices, strategic knowledge management systems, and motivational frameworks involving mindfulness and enthusiasm. She examines how technological singularity impacts HR departments while developing models for effective HRM strategy implementation. Analysis of her recent publications reveals a consistent trajectory toward future-oriented HR studies, particularly how technological, economic, and social disruptions reshape workplace dynamics. Her work bridges theoretical HR frameworks with practical applications in negotiation, influence tactics, and systemic value creation within knowledge-intensive organizations.

• Decision Support Systems
• Energy Management
• Sustainable Energy Planning
• +۸ مورد دیگر

Dr. Vangelis Marinakis is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). His academic background includes an Electrical and Computer Engineering degree and a PhD in Decision Support Systems for Sustainable Energy Planning from NTUA. PhD in Decision Support Systems for Sustainable Energy Planning (NTUA) Electrical and Computer Engineer (NTUA) His research focuses on designing methodologies for intelligent energy management across Smart Homes, Buildings, Cities, and Districts, leveraging technologies like IoT, AI, and Big Data. He has contributed to over 25 European (Horizon Europe, H2020) and national projects, with more than 50 journal publications and book chapters. Key research areas include Decision Support Systems , Energy Efficiency , and Renewable Energy Integration . He has led research in AI-driven energy forecasting, federated learning for privacy-preserving data models, and blockchain applications in energy markets. His work explores the intersection of Smart Grids , Building Informatics , and Climate Resilience . Dr. Marinakis has developed frameworks for: Decarbonization-as-a-Service in building renovations Scalable Big Data architectures for smart buildings Multi-criteria optimization of EV charging stations Explainable AI in energy decision-making Climate resilience assessment for urban housing

Patrick Aignerمشاهده پروفایل

مربی

• Environmental Science
• Atmospheric Modeling
• Climate Impact Assessment
• +۲ مورد دیگر

Patrick Aigner, M.Sc., is a Tutor at the Technical University of Munich , affiliated with the Professorship for Environmental Sensors and Modeling led by Prof. Jia Chen. His work focuses on urban greenhouse gas monitoring , particularly through automated measurement networks and emission inventory analysis . Research : Urban CO2/CH4 sensing, high-density sensor networks, spatial emission inventories Teaching : Tutor for Environmental Sensing and Modeling lectures and seminars Email : patrick.aigner@tum.de Research Areas include: Environmental Science : Urban climate impact assessment Atmospheric Modeling : Flux tower measurements, footprint analysis Climate Policy : Quantitative mapping of mitigation plans Air Quality Monitoring : CO/NOx co-emissions Publication Trends show collaboration across European cities (Munich, Zurich, Paris) with emphasis on high-density sensor networks , emission inventory methods , and climate verification frameworks . Key projects include ICOS Cities , MUCCnet , and SCOUT .

Francesco Liberatiمشاهده پروفایل

دانشیار

• Control theory
• Model predictive control
• Cyber-physical systems
• +۱ مورد دیگر

Francesco Liberati is an Associate Professor in Automatic Control at Sapienza University of Rome, Department of Computer, Control and Management Engineering (DIAG). His research focuses on cyber-physical systems, model predictive control (MPC), and hybrid MPC-deep learning algorithms with applications to power systems, traffic control, and task scheduling. PhD in Systems Engineering from Sapienza University (2015) Assistant Professor (RTD-B) at Sapienza University (2021-2024) Assistant Professor (RTD-A) at eCampus University (2015-2017) Liberati’s work combines theoretical advancements in control theory with real-world implementations in smart grids and transportation systems. He has pioneered approaches integrating MPC with reinforcement learning for large-scale optimization problems, particularly in electric vehicle (EV) charging and grid reconfiguration. His recent publications emphasize: Stochastic and economic MPC for renewable energy storage Decentralized control algorithms for EV charging Cyber-physical security in microgrids and smart infrastructure Hybrid AI-control solutions for traffic and industrial systems Scientific recognition includes: 2021 Best Paper Award, IEEE World AI IoT Congress (AIIoT) 2021 Networked Systems Best Paper Award He serves as Associate Editor for Advanced Control for Applications (Wiley) and on the Editorial Board of Smart Cities (MDPI). His applied research spans European Commission H2020 projects and collaborations with industry partners in energy and transportation sectors.

• Computer Architecture
• Parallel Computing
• Compiler Technology
• +۳ مورد دیگر

Keiji Kimura is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering, School of Fundamental Science and Engineering. He earned his Doctor of Engineering from Waseda University and has held academic positions at the university since 1999, progressing from Research Associate to Assistant Professor (2004-2005), Associate Professor (2005-2012), and Professor (2012-present). He is affiliated with multiple professional organizations including ACM, IEEE Computer Society, The Institute of Electronics, Information and Communication Engineers, and Information Processing Society of Japan. His research focuses on computer architecture, particularly parallel computing systems and compiler technology. Kimura has made significant contributions to the development of the OSCAR (Optimally Scheduled Advanced Multiprocessor) automatic parallelizing compiler framework. His work spans multiple areas including multicore processor architecture, power reduction techniques for embedded systems, non-volatile memory systems, and parallelization methods for heterogeneous architectures. His research interests specifically include Multiprocessor Architecture and Parallelizing Compiler development, with applications in real-time systems and energy-efficient computing. Analysis of his recent publications reveals a strong focus on practical implementations of parallel computing technologies across diverse hardware platforms including RISC-V, ARM, and heterogeneous multicore systems. His work demonstrates a consistent trajectory from theoretical compiler development toward practical applications in embedded systems, security, and non-volatile memory technologies. The publications show increasing emphasis on RISC-V architecture, persistent memory programming, and power-efficient computing solutions. MEXT Award for Science and Technology (Research category), 2014.04 Ministry of Education, Culture, Sports, Science and Technology (MEXT) Kimura has served on numerous prestigious conference program committees including PACT, IPDPS, HPCA, and LCPC. His research has been supported through collaborations with major technology companies and government initiatives such as the METI/NEDO project entitled "Multicore Technology for Realtime Consumer Electronics." His work with the OSCAR compiler framework has demonstrated significant performance improvements and power reductions in real-world applications. He leads research in the APAL laboratory (http://www.apal.cs.waseda.ac.jp/) at Waseda University, focusing on advanced parallel processing technologies. His team works on compiler-directed approaches to solve challenges in heterogeneous multicore architectures, with particular emphasis on making parallel programming more accessible while optimizing for both performance and power efficiency. Current research directions include RISC-V secure boot verification, non-volatile memory systems, and GPU-based persistent memory solutions.

Alessio Trivellaمشاهده پروفایل

پژوهشگر

• Optimization Models
• Mathematical Programming
• Network Algorithms
• +۷ مورد دیگر

Alessio Trivella is a Researcher specializing in Industrial Engineering & Business Information Systems , with a focus on optimization models for energy, transportation, and logistics. His work bridges academic research with industry applications, emphasizing mathematical programming, stochastic optimization, and sustainability. Research Interests: His expertise spans combinatorial optimization , dynamic programming , and network algorithms , addressing challenges in green hydrogen production , hydrogen railway systems , container loading , and renewable energy procurement . Key themes include uncertainty modeling , resource flow optimization , and system resilience . Scientific Contributions: Recent work (2023–2025) explores sustainable energy hubs , hydrogen infrastructure , retail planning , and railway automation , with publications in journals like Renewable Energy and Management Science . His research aligns with UN Sustainable Development Goals, particularly in energy sustainability and smart transport systems . Awards: Recognized for excellence with the Outstanding Reviewer Award OR Spectrum 2019 .

Michał Adamczykمشاهده پروفایل

پژوهشگر

• Electric drives control
• Fault-tolerant control systems
• State variable estimation
• +۳ مورد دیگر

Michał Adamczyk is a researcher at Wrocław University of Science and Technology, affiliated with the Faculty of Electrical Engineering and the Department of Electrical Machines, Drives and Measurements. His work focuses on advanced control techniques for electric drives and fault-tolerant systems. Research areas include current sensor fault detection, Luenberger observers, and parameter estimation Participated in the OPUS 21 project on sensor fault compensation under Prof. Teresa Orłowska-Kowalska Email: michal.adamczyk@pwr.edu.pl Recent research trends in his publications (2022-2024) emphasize fault-tolerant control strategies for induction motor drives using modified Luenberger observers, extended Kalman filters, and neural network-based approaches. His work addresses sensor fault compensation through virtual sensor implementations and resistance estimation techniques. His publications demonstrate expertise in industrial electronics applications, particularly in improving control systems' robustness against sensor failures while maintaining performance in safety-critical and industrial automation contexts.

• Organizational Management
• Information Systems
• Business Information Flows
• +۴ مورد دیگر

Minka Miteva Yordanova serves as a Part-time Lecturer in the Department of Mathematics, Computer Science and Natural Sciences at Technical University - Gabrovo, actively contributing to academic and research activities since 2011 through multiple institutional projects. Her research focuses on the intersection of management theory and information technology applications, with primary expertise in: Organizational Management and Business Process Modeling Information Systems Design and Security Computer-Based Educational Methods and Web Accessibility Economic Growth Analysis in National Sectors Analysis of her 15 publications (2011-2016) reveals consistent emphasis on practical implementations of management models in Bulgarian academic and business contexts, particularly in IT project execution, organizational communication, and time management systems. Her work predominantly appears in UNITECH and INFOTEH conference proceedings, demonstrating strong institutional collaboration within Southeast European academic networks. Dr. Yordanova has participated in seven internal research projects at TU Gabrovo (2011-2018) as both researcher and team member, addressing critical areas including modern educational technologies, economic forecasting for EU structural funds, and computer-based research methodologies. These projects involved cross-functional teams of 5-10 specialists focused on translating theoretical models into operational frameworks for national economic development.

Zhineng Feiمشاهده پروفایل

پژوهشگر

• Energy Systems
• Smart Grids
• Microgrids
• +۳ مورد دیگر

Zhineng Fei is a Doctoral Researcher at the Department of Electrical Engineering and Automation , Aalto University, affiliated with the Multi-energy System Planning and Operation research group. Their work focuses on optimizing energy systems for maritime applications, integrating renewable energy, hydrogen technologies, and desalination processes. Research Areas: Multi-energy systems, smart grids, hydrogen energy, and stochastic optimization Recent publications highlight robust planning and coordinated operation of green ship microgrids , leveraging thermal inertia, noise control, and distributed stochastic methods. These works are aligned with advancing sustainable maritime energy solutions and hybrid power systems. Zhineng Fei collaborates with researchers such as Zhengmao Li, Josep M. Guerrero, and Yuehua Huang. Their findings are published in journals like IEEE Transactions on Smart Grid and conferences including the IEEE Power and Energy Society General Meeting .

• Reconfigurable Computing
• Electronics Design Automation
• Post-Quantum Cryptography
• +۴ مورد دیگر

Dr. Andrea Guerrieri is an Associate Professor at the University of Applied Sciences and Arts Valais-Wallis - School of Engineering , specializing in Reconfigurable Computing, Electronics Design Automation (EDA), and Post-Quantum Cryptography . His work focuses on accelerating FPGA compilation through tools like DynaRapid and optimizing security protocols via Dynamatic , with technologies adopted by industry leaders including Intel, AMD-Xilinx, and CERN . He holds a BSc in Industrial Systems and a MSc in Engineering from HES-SO, and teaches courses in Digital Design and Embedded Hardware. BSc HES-SO in Industrial Systems (2019) BSc HES-SO in Computer and Communication Systems (2017) MSc HES-SO in Engineering (2021) Guerrieri’s research bridges High-Level Synthesis (HLS) and Reconfigurable Architectures to enhance FPGA performance for both terrestrial and space applications . His 2025 publications highlight advancements in heterogeneous computing , energy-efficient PQC , and rapid compilation frameworks . Notably, his 2024 work on DynaRapid achieved 20× speedup in C-to-FPGA implementation. Key scientific contributions span dataflow circuit optimization , dynamic scheduling , and automated code transformations . His 2023 book Applications Enabled by FPGA-Based Technology and 2021 textbook System-on-Chip Design with Arm established foundational references in embedded systems. Awards include Best Paper at FPL 2024 , Outstanding TPC Member at DAC 2024 , and IEEE Senior Membership (2021) . 2024: Best Paper Award (FPL), Outstanding Short Paper Award (HPEC) 2023: H-Saber publication on PQC optimization 2021: IEEE Senior Member recognition As Chair of Onboard Computing for the CHEESE-NASA SSERVI consortium, he leads international collaborations with ETH Zurich, University of Geneva, California State University , and companies like NVIDIA, Arm, and NASA . His projects include the Innosuisse-funded DyReCte initiative (2019–2021) for reconfigurable cryptoengines in nanosatellites.

Vijaykrishnan Narayananمشاهده پروفایل

استاد

• Power Aware Computing
• Computer Architecture
• Embedded Systems
• +۴ مورد دیگر

Vijaykrishnan Narayanan is a Professor at the College of Engineering , Pennsylvania State University, with affiliations in both Computer Science & Engineering and Electrical Engineering departments. He co-directs the Microsystems Design Lab and leads the Architecture, Benchmarking, and Circuits Thrust at the DARPA/SRC LEAST Center. Education : Bachelors (1993) from University of Madras; Ph.D. (1998) from University of South Florida His research focuses on Power Aware Computing , Computer Architecture , Embedded Systems , and Emerging Device Integration . Recent work explores steep-slope devices for energy efficiency, nonvolatile processors for ambient energy harvesting, and neuromorphic architectures using hybrid VO₂-MOSFET oscillators. Key article trends span post-CMOS technologies (tunnel FETs, VO₂ devices), low-power design , and bio-inspired signal processing . Scientific Awards : IEEE Fellow, ACM Fellow, IEEE Transactions on VLSI Best Paper, IEEE Micro Best Paper Patents : Dynamically-configurable hardware architecture for audience analytics

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.