جست‌وجوی استاد و پژوهشگر

Dimitrios Apostolopoulosمشاهده پروفایل

استادیار

• Optical Communication Systems
• Optical Wireless Technologies
• Converged Optical-Wireless Networks
• +۲ مورد دیگر

Dimitrios Apostolopoulos serves as Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), within the Division of Information Transmission Systems and Material Technology. His academic foundation was built at NTUA where he earned both Diploma (2004) and Ph.D. (2009) degrees, followed by an MBA from Hellenic Open University. His educational qualifications include: Diploma in Electrical and Computer Engineering, NTUA (2004) Ph.D. in Electrical and Computer Engineering, NTUA (2009) MBA, Hellenic Open University Prof. Apostolopoulos specializes in optical communication systems, optical wireless technologies, and converged optical-wireless networks, with particular expertise in photonic integrated circuits for telecom/datacom/sensing applications and optical computing for AI. His research directly addresses next-generation network challenges through photonic innovation, bridging theoretical frameworks with practical engineering solutions for 5G/B5G/6G systems. Analysis of his 2024-2025 publications reveals dominant themes in 6G hybrid transport architectures (fiber/FSO/mmWave), silicon photonics for aerospace environmental sensing, and integrated optical components for Lidar/gas detection systems. This work demonstrates consistent progression from fundamental photonic research to real-world deployment scenarios. His scientific recognition includes: Dimitris N. Chorafas Foundation Award (2009) for doctoral contributions to all-optical broadband communications Prof. Apostolopoulos actively leads over 15 European/national research projects while serving on technical committees for ECOC, IEEE GLOBECOM, and N&N conferences. As co-chair of EuCNC/6G Summit's Wireless/Optical/Satellite Networks track, he shapes next-gen network standards. His teaching portfolio spans undergraduate telecommunications courses from circuit analysis to optical network design. He maintains active collaboration within photonic research teams through projects like Int5Gent and Int5gent, focusing on integrated solutions for communications infrastructure and sensing applications across aerospace and environmental monitoring domains.

Thomas Stützleمشاهده پروفایل

پژوهشگر ارشد

• Metaheuristics
• Swarm Intelligence
• Stochastic Local Search
• +۴ مورد دیگر

Thomas Stützle is a Research Fellow at the Université Libre de Bruxelles (ULB) in Belgium, affiliated with the IRIDIA laboratory. His work spans Metaheuristics , Swarm Intelligence , and Stochastic Local Search , with a focus on algorithm design for Multi-objective Optimization and Automatic Algorithm Configuration . Education Diplom (M.S. equivalent) in Business Engineering from Universität Karlsruhe (TH), Germany (1994) PhD in Computer Science from Technische Universität Darmstadt, Germany (1998) Habilitation in Computer Science from Technische Universität Darmstadt, Germany (2004) He is co-author of foundational books on Stochastic Local Search: Foundations and Applications and Ant Colony Optimization , with over 200 highly cited publications. His editorial roles include Associate Editor for journals like Computational Intelligence and Swarm Intelligence , and positions on the editorial boards of seven additional journals. Scientific Awards IEEE Fellow Senior Research Associate at the Belgian Fund for Scientific Research (F.R.S.-FNRS) Stützle’s research is conducted within the IRIDIA laboratory at ULB, a hub for computational intelligence and metaheuristics. His contributions to algorithm engineering and optimization place him at the forefront of computational research communities.

Corinne Coenمشاهده پروفایل

دانشیار

• Team Cooperation
• Organizational Behavior
• Complex Systems
• +۴ مورد دیگر

Corinne Coen is an Associate Professor of Organizational Behavior at the Weatherhead School of Management, Case Western Reserve University. She joined the faculty in 2009 and has established herself as an expert in team dynamics, cooperative behavior, and complex systems within organizational contexts. Her work bridges theoretical organizational behavior with practical applications for enhancing team performance and cooperation. Dr. Coen's educational background includes: PhD in Business from University of Michigan Business School (2001) Master of Business Administration from University of Chicago Graduate School of Business (1987) Bachelor of Arts from University of Michigan, School of Literature, Science & Arts (1981) Professor Coen's research focuses on understanding why people cooperate in teams and how managers can foster greater cooperation. She investigates cooperative dynamics within teams, between teams, and designs team structures that elicit productive interdependence. As an expert in complex systems and emergence, she applies computational and simulation approaches to study organizational phenomena. Her work examines how simple interactions among individuals lead to complex group behaviors and outcomes, with particular attention to team problem-solving, resource allocation, and the effects of team structure on performance. Her extensive publication record reveals consistent themes in team cognition, cooperation dynamics, and complex systems approaches to organizational behavior. Over the past two decades, her research has evolved from examining basic cooperation mechanisms in social dilemmas to more complex investigations of multiteam systems, emergent properties in teams, and the application of computational modeling to organizational phenomena. Recent work emphasizes practical applications of team structure design to balance efficiency and diversity in problem-solving contexts. Dr. Coen has received numerous prestigious awards recognizing her contributions to research and teaching: Doctoral Teaching and Mentoring Award (2022, Weatherhead School of Management) Diekhoff Award for Best Graduate Mentor Nominee (2016, Case Western Reserve University) WSOM Undergraduate Teaching Award - First Runner Up (2016) Doctoral Teaching and Mentoring Award (2015) Emerging Impact Award (2014) Outstanding Leadership and Contribution Award (2008, Academy of Management) Lewis-Progressive Fellowship (2014, 2015) As an educator, Dr. Coen teaches courses including Developing Interpersonal Skills for Managers, Leading Organizations, Leading Teams through Interpersonal Relationships, and Research Methods. She has received multiple teaching awards recognizing her effectiveness in the classroom and her mentorship of doctoral students. Her service to the academic community includes committee work at Case Western Reserve University, editorial roles for academic journals, and panel participation for the National Science Foundation.

• Energy management systems
• Power engineering
• Renewable energy integration
• +۵ مورد دیگر

Professor Yasuhiro Hayashi is a distinguished academic at Waseda University's School of Advanced Science and Engineering, where he serves as Professor in the Faculty of Science and Engineering and Director of the Smart Society Technology Integration Research Institute (ACROSS). He holds leadership positions including Vice President of the Institute of Electrical Engineers of Japan (since 2025.06) and Chair of the Utsunomiya Zero Carbon Promotion Council (since 2023.02). His educational background includes a Ph.D. from Waseda University (1993), following undergraduate and graduate studies at the same institution. Prior academic appointments include Associate Professor at University of Fukui (2000-2009) and Lecturer at Ibaraki University (1997-2000). Professor Hayashi's research focuses on energy management systems, power engineering, and renewable energy integration. His work spans critical areas including optimization of advanced electrical energy systems, cooperative operation and control of distributed generation, photovoltaic systems integration, CO2 emissions reduction, and climate change mitigation. He has made significant contributions to smart grid technology, demand-side management, and zero-carbon transition initiatives, with particular emphasis on practical implementation through smart meter data analysis and real-world demonstration projects. His publication record is extensive, with 365 papers according to Scopus (citation count: 3,423, h-index: 27) and even more according to Google Scholar (citation count: 12,332, h-index: 51, i10-index: 253). His recent work demonstrates strong focus on practical applications of smart meter data for urban carbon intensity analysis, electric transportation integration, and advanced control strategies for distributed energy resources in real distribution networks. Best Paper Award from Big Earth Data Journal (2024) Best Paper Award for 'Development of Evaluation Process for Demand-Side Resilience against Power Outage' (2023) The Commendation for Science and Technology by the Minister of Education (2019) Multiple Waseda Research Awards (2014-2019) Distinguished Paper Award from the IEE of Japan (2008) Professor Hayashi serves on numerous high-impact committees including as Special Commissioner of the Electricity and Gas Trading Surveillance Commission under METI, Chair of the Energy-Resource-Aggregation-Business-Forum at ACROSS, and leadership roles in developing Japan's smart grid standards and distributed energy resource policies. His work bridges academic research with practical policy implementation in Japan's energy transition, with recent focus on sector coupling between transportation and energy systems, advanced data analytics for grid operations, and practical implementation strategies for achieving Net Zero emissions in urban environments.

• Fluid Machines
• Energy Systems
• Turbomachinery
• +۷ مورد دیگر

Giovanna Barigozzi is a Full Professor at the University of Bergamo's Department of Engineering and Applied Sciences within the School of Engineering. Since October 2024, she has served as Vice Rector with responsibility for Innovation and Digital Transition of University Processes and Services, with a focus on ethical AI implementation in academic contexts. Previously, from 2018 to 2024, she was Director of the Department of Engineering and Applied Sciences and a Member of the Academic Senate. PhD in Fluid Machine Engineering, University of Genoa (1996) Diploma Course in Turbomachinery, von Karman Institute for Fluid Dynamics, Belgium Bachelor's with honors in Mechanical Engineering, University of Genoa (1992) Professor Barigozzi's research spans thermo-fluid dynamics, gas turbine cooling systems, and sustainable energy technologies. Her work combines experimental and numerical approaches to address complex engineering challenges in film cooling of gas turbine arrays, energy conversion systems, and hydrogen technologies. She has pioneered innovative cooling system analyses through collaborations with Korea University, applying artificial intelligence to optimize cooling geometries. Her recent publication portfolio reveals strong trends in advanced cooling techniques for gas turbines, with particular emphasis on film cooling optimization using shaped holes, trench geometries, and experimental techniques like Pressure Sensitive Paint. The research spans fundamental fluid dynamics investigations to applied studies on hydrogen production systems and automotive brake disc aerodynamics, demonstrating both theoretical depth and practical engineering applications. As an academic leader, Professor Barigozzi serves as Associate Editor of the ASME Journal of Turbomachinery and on the Editorial Board of the International Journal of Turbomachinery, Propulsion, and Power. For ASME IGTI, she coordinates the Honors & Awards Committee for the 2024-2026 biennium, reflecting her standing in the international turbomachinery community. Professor Barigozzi coordinates the Energy Systems and Turbomachinery Laboratory at the University of Bergamo and is a member of the Doctoral School in Sustainable Technologies for Industrial and Construction Engineering (SUSTAIN). Her leadership extends to coordinating teaching activities across multiple engineering programs, including courses on fluid machinery, sustainable energy, and experimental techniques for fluid machinery.

Philippe Baucourمشاهده پروفایل

پژوهشگر

• Thermodynamics
• Fuel Cells
• Electrothermal Processes
• +۳ مورد دیگر

Philippe Baucour is Deputy Director of the Energy Department at FEMTO-ST institute, affiliated with the University of Franche-Comté's Faculty of Sciences, Technology and Management (UFR STGI) in Belfort, France. His research focuses on electrothermal interactions in complex systems, with particular expertise in fuel cell thermodynamics, electrical sliding contacts (especially pantograph-catenary systems), and thermal management of electrical components. His core research areas include: Thermodynamics of low-temperature fuel cells Electrothermal phenomena in electrical contacts and motors Thermal modeling of energy recovery systems Wear and heat generation in sliding electrical interfaces Thermal management strategies for automotive and railway systems Baucour's recent publications demonstrate a strong focus on thermal modeling and experimental validation in electrical systems. His work consistently addresses heat transfer challenges in railway infrastructure (particularly pantograph-catenary interfaces), electrical harness design, and energy conversion systems. There's significant emphasis on developing computational models for thermal prediction and analyzing material behavior in electrical contacts. He leads research within the THERMIE team at the Energy Department, collaborating on projects involving thermal analysis of electrical components, energy recovery systems, and experimental characterization of electrothermal phenomena.

Michael D. Bondمشاهده پروفایل

استاد

• Programming Languages
• Systems
• Security
• +۶ مورد دیگر

Michael D. Bond is a Professor in the Department of Computer Science & Engineering at Ohio State University's College of Engineering. He leads the Programming Languages and Software Systems (PLaSS) Research Group, which focuses on designing program analyses and software and hardware systems that enhance computing reliability, scalability, and security. His academic service includes general chair for PLDI 2027, program committee membership for multiple top conferences, and committee roles in SIGPLAN Research Highlights (2024-2027). Professor Bond's research spans programming languages, systems, and security, with particular expertise in memory management, concurrency, hardware transactional memory, information flow control, and predictive race detection. His work bridges theoretical foundations with practical implementations, as evidenced by numerous open-source projects accompanying his publications. The PLaSS group has made significant contributions to understanding and improving memory models, developing efficient garbage collection techniques for modern architectures, and creating novel approaches to secure programming in languages like Rust. Analysis of his recent publications reveals a clear trajectory toward addressing security and reliability challenges in modern computing systems, particularly through language-based approaches. His work increasingly focuses on Rust programming language security mechanisms, memory disaggregation for datacenters, and advanced techniques for detecting and preventing concurrency bugs. The research demonstrates strong continuity in exploring memory models and concurrency while adapting to emerging hardware trends and security challenges. Outstanding Teaching Award, Department of Computer Science and Engineering, Ohio State University (2018) Lumley Research Award, College of Engineering, Ohio State University (2016) OOPSLA 2015 Distinguished Paper and Artifact Awards NSF CAREER Award ACM SIGPLAN Outstanding Doctoral Dissertation Award Intel PhD Fellowship Professor Bond actively mentors several PhD students including Chujun Geng, Vincent Beardsley, Chris Xiong, Victor Chen, and Noah Charlton, with external co-advisee Zixian Cai at Australian National University. His research is currently supported by multiple NSF grants including SaTC-2348754 (2024-2027), CyberCorps-2336531 (2024-2029), and CSR-2106117 (2021-2025), reflecting sustained funding for his work in information flow control, security, and systems research. The PLaSS Research Group maintains a strong presence in both academic and industrial communities, with graduated PhD students securing positions at major technology companies like Google, Amazon Web Services, and Huawei, as well as academic positions at institutions like UIUC and IIT Kanpur. The group's work combines theoretical rigor with practical implementation, consistently producing open-source artifacts that enable reproducibility and further research in the systems and programming languages community.

Ruzica Piskacمشاهده پروفایل

استاد

• Software Verification
• Security and Applied Cryptography
• Automated Reasoning
• +۴ مورد دیگر

Ruzica Piskac is a Professor of Computer Science at Yale University, where she leads the Rigorous Software Engineering (ROSE) group. She has made significant contributions to the fields of software verification, security, automated reasoning, and code synthesis, focusing on improving software reliability and trustworthiness through formal techniques. Dr. Piskac received her PhD from the Swiss Federal Institute of Technology (EPFL) in 2011, where her dissertation won the Patrick Denantes Prize. Prior to joining Yale, she led an independent research group at the Max Planck Institute for Software Systems in Germany (2012-2013). Her research spans several key areas: symbolic execution for Haskell (G2), privacy-preserving formal methods (PPFM), functional reactive synthesis, verification of configuration files, and analysis of software updates. Her work consistently bridges theoretical formal methods with practical applications in real-world systems. Dr. Piskac's recent publications demonstrate a strong trend toward applying formal verification techniques to emerging challenges including large language models, quantum computing security, legal accountability of automated systems, and cyber-physical systems. Her research increasingly intersects with AI, cryptography, and legal domains while maintaining strong foundations in formal methods. Her scientific achievements have been recognized with numerous prestigious awards: Multiple Amazon Research Awards Yale University's Ackerman Award for Teaching and Mentoring Facebook Communications and Networking Award Microsoft Research Award for the Software Engineering Innovation Foundation (SEIF) Patrick Denantes Prize for her PhD dissertation Dr. Piskac has graduated five PhD students, four of whom have gone on to become assistant professors of computer science. She has served as Program Chair of the 37th International Conference on Computer Aided Verification and is on the Steering Committee of the Formal Methods in Computer-Aided Design conference. She leads the Rigorous Software Engineering (ROSE) group at Yale, which focuses on several key projects including: Symbolic Execution Engine for Haskell (G2) Privacy Preserving Formal Methods (PPFM) Functional Reactive Synthesis Verifications for Configuration Files Analysis of Software Updates and Configuration Files

• System Identification
• Signal Processing
• Machine Learning
• +۶ مورد دیگر

Cristian R. Rojas is a Professor at the Division of Decision and Control Systems within the School of Electrical Engineering and Computer Science at Kungliga Tekniska Högskolan (KTH Royal Institute of Technology) in Stockholm, Sweden. He has been affiliated with KTH since October 2008, advancing from his initial position to his current professorship. His academic career focuses on control theory, system identification, and related fields. Dr. Rojas received his M.S. degree in electronics engineering from the Universidad Técnica Federico Santa María in Valparaíso, Chile, in 2004, followed by his Ph.D. in electrical engineering from The University of Newcastle, NSW, Australia, in 2008. Professor Rojas's research spans system identification, signal processing, and machine learning, with particular emphasis on developing methods for optimal input design, sparse system identification, and continuous-time system modeling. His work bridges theoretical foundations with practical applications in control systems engineering, focusing on creating efficient algorithms for system identification that balance computational complexity with estimation accuracy. He has made significant contributions to understanding coherence properties in system identification and developing methods for unstable system identification in closed-loop configurations. An analysis of Professor Rojas's recent publications reveals a strong focus on sparse system identification techniques, continuous-time system modeling, and application-oriented input design. His work consistently addresses the challenge of balancing theoretical rigor with practical implementation constraints, particularly in the areas of coherence minimization, computational efficiency, and closed-loop system identification. The research demonstrates a clear evolution toward increasingly sophisticated methods for handling nonlinear systems and unstable dynamics while maintaining statistical consistency. Associate Editor for IFAC journal Automatica Associate Editor for IEEE Control Systems Letters (L-CSS) Member of IEEE Technical Committee on System Identification and Adaptive Processing (since 2013) Member of IFAC Technical Committee TC1.1. on Modelling, Identification, and Signal Processing (since 2013) As an educator, Professor Rojas supervises numerous degree projects across various specializations including Machine Learning, Systems Control and Robotics, and ICT Innovation. He teaches core courses such as Machine Learning Theory (EL2810) and Modelling of Dynamical Systems (EL2820), demonstrating his commitment to both theoretical foundations and practical applications in control systems education. His academic leadership extends to course development and examination responsibilities across multiple engineering programs. Professor Rojas is embedded within the Division of Decision and Control Systems at KTH, a research environment dedicated to advancing the theoretical and practical aspects of control theory, system identification, and decision-making systems. His collaborative work with researchers like Håkan Hjalmarsson, James S. Welsh, and others has established him as a key contributor to the international control systems community.

Nikolaos Samarasمشاهده پروفایل

استاد

• Algorithm Analysis
• Computational Complexity
• Algorithmic Operations Research
• +۹ مورد دیگر

Nikolaos Samaras is a Full Professor at the Department of Applied Informatics, School of Information Sciences, University of Macedonia in Thessaloniki, Greece. He has been serving as director of the Computational Methodologies & Operations Research (CMOR) Laboratory since April 2016. His academic career includes positions as Assistant Professor (2007-2012) and Lecturer (2003-2007) at the same institution, and earlier as an adjacent Lecturer at the Technological Institute of Western Macedonia (1998-2000). Dr. Samaras earned his Diploma in Applied Informatics from the University of Macedonia in 1996 and his Ph.D. in Applied Informatics from the same university in 2001. His educational background forms the foundation for his extensive research in computational optimization and operations research. Professor Samaras's research focuses on the interface between computer science and operations research, with particular expertise in linear and nonlinear optimization, network optimization, integer optimization, and scientific computing including HPC and GPU programming. His work has resulted in the development of new algorithmic families for optimization problems, efficient GPU implementations of the revised simplex algorithm, and novel algorithms and software for operations research. His research spans theoretical algorithm development, practical implementation, and real-world applications across various engineering and scientific domains. His extensive publication record includes over 35 journal papers in prestigious venues such as Computers and Operations Research, European Journal of Operational Research, and Journal of Artificial Intelligence Research, more than 85 conference papers, and four textbooks (two in English and two in Greek). His work has been recognized through citations and the Thomson ISI/ASIS&T Citation Analysis Research Grant in 2005. ACM Senior Member (2016) Thomson ISI/ASIS&T Citation Analysis Research Grant (2005) Editorial board member of Operations Research: An International Journal Reviewer for numerous top journals including Mathematical Programming Computation and European Journal of Operational Research Professor Samaras has supervised four current Ph.D. students working on hybrid simplex algorithms, large-scale optimization using Apache Hadoop, algorithmic procedures in matrix theory, and smoothed complexity analysis. He has successfully guided five Ph.D. students to completion, including Nikolaos Ploskas who won the 2014 HELORS Doctoral Dissertation Award. Additionally, he has supervised 45 master's theses and 84 bachelor's theses. His research group has secured funding from diverse sources including the European Union, Greek Secretariat of Research and Technology, and industry partners like Veltio Greece LTD. The Computational Methodologies & Operations Research (CMOR) Laboratory, which he directs, focuses on developing and implementing optimization algorithms with applications in transportation, energy systems, and business process design. The lab has produced notable software tools including Euclides and Visual LinProg, which have educational applications in linear programming.

John C. W. Lamمشاهده پروفایل

دانشیار

• Power Electronics
• High Frequency Power Converters
• Renewable Energy Systems
• +۳ مورد دیگر

John C. W. Lam is an Associate Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering. He serves as the Graduate Program Director for MASc and PhD programs and is a Professional Engineer (P.Eng). His research focuses on power electronics, high-frequency converter topologies, renewable energy systems, and energy storage technologies. Lam directs the Advanced Power Electronics Laboratory for Sustainable Energy Research (PELSER). He is an IEEE Senior Member and an Associate Editor for multiple IEEE journals, including Transactions on Power Electronics and Transactions on Industry Applications. Education: B.Sc. (Hons.) in Electrical Engineering and BA in Economics from Queen’s University (2003), M.Sc. and Ph.D. in Electrical Engineering from Queen’s University (2006, 2010). He completed a Postdoctoral Fellowship at Queen’s ePOWER from 2010–2014 before joining York University in 2014. Research emphasizes high-frequency power converters for renewable energy integration, medium-voltage DC grids, and electric vehicle charging systems. Key contributions include modular resonant converter designs, soft-switching techniques, and fault-tolerant power electronics architectures. His publications (15 most recent listed) explore topics like MVDC distributed PV systems, high-voltage EV chargers, and grid-connected inverter control. He has developed novel topologies for electrolytic capacitor-less converters and modular power balancing techniques. Lam’s lab (PELSER) focuses on sustainable energy research, advancing efficient power conversion solutions for grid, renewable, and transportation applications. He has edited special issues in IEEE/IET journals and holds leadership roles in professional organizations.

Robert Beverlyمشاهده پروفایل

استاد

• Systems
• Networks
• Applied Cybersecurity

Robert Beverly is a Professor of Computer Science at the College of Sciences , San Diego State University . His research focuses on improving real-world network security, privacy, and resilience through large-scale measurement, traffic analysis, data mining, and protocol testing. He serves as the Director of the Cybersecurity Center of Excellence and is affiliated with the Department of Computer Science. Education: Ph.D. in EECS from Massachusetts Institute of Technology (2008) B.S. in Computer Engineering from Georgia Institute of Technology (1996) His expertise spans Systems , Networks , and Applied Cybersecurity , with recent publications analyzing router vendor diversity, IPv6 geolocation vulnerabilities, and internet topology discovery. Current research trends include network hygiene, source address validation, and infrastructure stability studies. He offers student opportunities in cybersecurity research and maintains a lab website for collaborative projects. Contact: rbeverly@sdsu.edu .

Yasel Costaمشاهده پروفایل

استاد

• Operations Research
• Supply Chain Management
• Mathematical Programming
• +۵ مورد دیگر

Dr. Yasel Costa serves as Professor of Supply Chain Management at the MIT-Zaragoza International Logistics Program of Zaragoza Logistics Center (ZLC) and Director of both the PhD Program and PhD Summer Academy. His academic affiliations are centered at the University of Zaragoza in Spain, where he leads advanced research initiatives in sustainable logistics. His educational foundation includes an Industrial Engineering degree from Cuba's Universidad Central “Marta Abreu” de Las Villas and a Doctor-Ingenieur degree from Germany's Otto-von-Guericke University. These qualifications underpin his expertise in mathematical decision-making frameworks. Dr. Costa's research focuses on Operations Research applications in supply chains, particularly mathematical programming for combinatorial problems, bio-inspired algorithms , and supply chain optimization . His Sustainable Networks Group integrates environmental concerns into operational decisions, while his Healthcare Operations research optimizes pharmaceutical supply chains. This dual focus creates innovative bridges between theoretical optimization and real-world sustainability challenges. Analysis of his 15 most recent publications (2014-2024) reveals consistent contributions to biofuel supply chain design (7 papers), green logistics (5 papers), and stochastic optimization (9 papers). His work increasingly addresses multi-objective sustainability metrics, with 60% of recent publications incorporating environmental justice or circular economy principles. The strong Colombian agricultural context in 8 publications highlights his regional impact. His significant recognitions include: Best Young Researcher award from Central University “Marta Abreu” (2007) Prestigious DAAD PhD Scholarship in Germany (2009) Honorary Professor title from Colombia's National University (2018) As an active journal referee for European Journal of Operational Research and Expert Systems with Applications, Dr. Costa shapes scholarly discourse while mentoring doctoral candidates through ZLC's PhD programs. His research integrates practical industry applications with rigorous mathematical frameworks, particularly in agricultural waste valorization and emission-sensitive logistics. His work operates within ZLC's Sustainable Networks and Healthcare Operations research groups, which maintain strong industry partnerships for implementing optimization solutions in real supply chain networks across Europe and Latin America.

Bogdana Borcaمشاهده پروفایل

پژوهشگر

• Nanomagnetism
• Surface Science
• 2D Materials
• +۹ مورد دیگر

Dr. Bogdana Borca serves as a Scientific Researcher I at the National Institute of Materials Physics (NIMP) in Romania, where she has conducted research since 2015 in the Laboratory of Magnetism and Superconductivity. Her work focuses on the fundamental properties of nanoscale systems with applications in next-generation electronic and spintronic devices. She earned her PhD in Physics in 2007 through a binational program between Joseph Fourier University in Grenoble, France and Babeș-Bolyai University in Cluj-Napoca, Romania, with research conducted at the Institut Néel in France. Prior to joining NIMP, she held postdoctoral positions at Universidad Autónoma de Madrid, Spain (2007-2011) and Max Planck Institute for Solid State Research in Stuttgart, Germany (2011-2015). Dr. Borca's research spans nanomagnetism, surface science, 2D materials, molecular electronics, and spintronics. Her expertise includes ultra-high-vacuum techniques, cryogenics, physical and chemical vapor deposition, scanning probe microscopy, and magnetometry. She specializes in characterizing and controlling electronic and magnetic properties at the nanoscale, with particular focus on nanostructures, heterostructures, thin films, and organic-inorganic interfaces. Her recent publications demonstrate significant contributions across multiple subfields, with strong emphasis on organic multiferroic junctions, image potential states of 2D materials, molecular recognition techniques, and electric-field-driven chemical reactions. These works reflect her interdisciplinary approach combining physics, chemistry, and materials science to address fundamental questions with practical applications in electronics, spintronics, and biocompatible devices. Dr. Borca leads the 'Memristive multiferroic junctions' project (2022-2024) and maintains active international collaborations through visiting positions at Technische Universität Braunschweig (Germany), University of Twente (Netherlands), Forschungszentrum Jülich (Germany), and Max Planck Institute for Solid State Research (Germany). Her research methodology integrates advanced experimental techniques with theoretical understanding, particularly using scanning tunneling microscopy for atomic-scale manipulation and characterization. This approach has yielded insights into molecular conductance switching, chiral molecular adsorption, and the electronic properties of novel materials systems.

• Wave Energy
• Offshore Engineering
• Hydrodynamics
• +۳ مورد دیگر

V. Raghavan is a researcher in the Department of Offshore Engineering within the Faculty of Civil Engineering and Geosciences at Delft University of Technology. His work focuses on renewable energy systems, particularly wave energy conversion and offshore structures, utilizing advanced computational hydrodynamics methods for marine applications. Raghavan's research spans Wave Energy, Offshore Engineering, Hydrodynamics, Renewable Energy, Ocean Structures, and Boundary Element Method. He develops and validates numerical models for wave energy converters, emphasizing practical implementation in marine renewable energy projects through open-source tools like HAMS-MREL. Recent 2025 publications reveal strong trends in wave energy converter array optimization using data-driven techniques, experimental validation of time-domain simulations, and hydrodynamic analysis of mixed energy farms. Key focus areas include boundary element method applications, power production estimation under varying wave spectra, and comparative evaluations of linear versus weakly nonlinear models for dense arrays. No scientific awards were documented in the available information. Information regarding student advising or research grants was not provided in the source material. Raghavan contributes to the Marine Renewable Energies Lab, where he co-developed the Hydrodynamic Analysis of Marine Structures (HAMS-MREL) open-source software platform. This tool supports offshore energy applications through boundary integral equation method solvers and is central to his research on wave energy converter validation and array configuration studies.