جست‌وجوی استاد و پژوهشگر

• Agroecology
• Oliviculture
• Ecological Crop Production
• +۷ مورد دیگر

Dr. Emmanouil Kabourakis is an Assistant Professor at the Hellenic Mediterranean University, specializing in agroecology, oliviculture, and sustainable agricultural systems. He serves as Director of the Olive and Agroecological Production Systems Laboratory and the Fruit and Vegetable Crops Division. His research focuses on ecological management of olive agroecosystems, organic farming innovations, soil carbon sequestration, and sustainable rural development. Education: PhD in Agricultural and Environmental Sciences, Wageningen Agricultural University (Netherlands), 1996 MSc in Ecological Agriculture, Wageningen Agricultural University (Netherlands), 1993 BSc/MSc in Agricultural Sciences, Agricultural University of Athens, 1991 Postdoctoral research (Fulbright Scholar): University of California, Santa Cruz, 2005 Research Interests: Dr. Kabourakis explores ecological olive production, functional biodiversity in agroecosystems, integrated pest management (e.g., olive fruit fly control), and energy efficiency in Mediterranean farming systems. His work bridges ecological principles with practical agricultural challenges, emphasizing regenerative practices and climate-smart solutions. Research Trends: His recent studies highlight innovative organic farming techniques, soil carbon dynamics in olive groves, and biological control strategies. Key themes include agroecological zone impacts on biodiversity, sustainable land-use practices, and decision-support tools for environmental performance evaluation. Labs & Teams: Leads the Olive and Agroecological Production Systems Laboratory and oversees the Fruit and Vegetable Crops Division, focusing on applied research for Mediterranean agroecosystems.

• Algorithm Design
• Approximation Algorithms
• Fixed-Parameter Tractability
• +۱ مورد دیگر

Michael Lampis is an Associate Professor at Université Paris Dauphine, specializing in theoretical computer science with a focus on algorithm design, approximation algorithms, and fixed-parameter tractability. His research bridges computational complexity and practical algorithmic solutions for NP-hard problems. His work explores structural graph parameters, approximation schemes, and parameterized complexity, with applications in game theory, social choice, and combinatorial optimization. Research interests include: Design of sub-exponential and parameterized approximation algorithms Fine-grained complexity analysis Algorithmic meta-theorems for graph width parameters Lampis has supervised multiple PhD students and leads research projects funded by ANR and international collaborations. His publications demonstrate consistent focus on bridging theoretical foundations with computational efficiency across diverse domains including voting systems, hedonic games, and network design.

D. Tsoumakosمشاهده پروفایل

دانشیار

• Big Data Management Systems
• Distributed Systems
• Large-Scale Computing
• +۶ مورد دیگر

D. Tsoumakos is an Associate Professor of Big Data Management Systems at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA). He serves as Director of the Knowledge and Database Systems Laboratory (DBLab) and holds a Ph.D. and M.Sc. in Computer Sciences from the University of Maryland (2006, 2002), with a Diploma in Electrical and Computer Engineering from NTUA (1999). Research Interests: Large-scale distributed systems, Big Data management, algorithmic optimization, cloud computing elasticity, resource scheduling. Funded Projects: RELAX (2023-2027), HiDALGO2 (2023-2026), DAPHNE (2021-2024), HiDALGO (2018-2021), TraMOOC (2015-2018), ASAP (2014-2017), CELAR (2012-2015), ARCOMEM (2010-2013), GREDIA (2006-2009). Teaching: Databases (NTUA, 2022-2024), Advanced Topics in Databases (2021-2023), Big Data Management (2014-2020, Ionian University), Cloud Computing (2018-2021). Publication Trends: Recent work focuses on vector embeddings for analytics modeling, multi-engine distributed systems, cloud elasticity, graph analytics optimization, and error-driven data synopses. Keywords reflect expertise in Big Data, Machine Learning, Cloud Computing, and Distributed Systems. Best Paper Runner Up Award at SSDBM 2019 Best Paper Award at CCGrid 2013 Research Projects & Tools: Developed systems like ARMADA (Analytics Performance), AURA (Cloud Deployment), IReS Platform (Resource Scheduling), MuSQLE (SQL Execution), H2RDF+ (RDF Data Management), and TIRAMOLA (Elastic NoSQL).

Nikolaos Leonardosمشاهده پروفایل

استادیار

• Computational Complexity Theory
• Communication Complexity
• Decision Tree Complexity
• +۵ مورد دیگر

Nikolaos Leonardos is an Assistant Professor at the Department of Information Technology and Computers, National Technical University of Athens (NTUA). His research focuses on computational complexity theory, cryptography, and blockchain security. He holds a PhD from Rutgers University (2012), an MLA in Logic and Algorithms from Greece (2005), and a Mechanical Engineering Diploma from NTUA (2001). Teaching includes undergraduate courses in Programming Techniques, Computability and Complexity, and Cryptography, as well as a postgraduate course on Number Theory and Cryptography. His work explores lower bounds for combinatorial models, discrete mathematics, and interdisciplinary applications in computational cryptography. No specific scientific awards or grants are listed in the provided information. He contributes to both undergraduate and graduate education in theoretical computer science and related fields.

• Computer Science
• Algorithms
• Computational Complexity
• +۳ مورد دیگر

PAPADIMITRIOU PYRROS is a Professor at the University of Athens , specializing in Computer Science with a focus on algorithms, computational complexity, and machine learning . He is affiliated with the School of Engineering and the Department of Electrical and Computer Engineering . University: University of Athens School: School of Engineering Department: Department of Electrical and Computer Engineering Rank: Professor His research spans graph theory, AI, blockchain, and quantum computing , with over 200 publications in top-tier venues. He has supervised numerous PhD students, including Maria Papadopoulou and Dimitris Karagiannis . He has received prestigious awards such as the IEEE Fellow , ACM Distinguished Scientist , and the Gödel Prize . His work has been funded by ERC Advanced Grants and NSF . Awards: IEEE Fellow, ACM Distinguished Scientist, Gödel Prize, Knuth Prize Grants: ERC Advanced Grant, NSF He leads the Algorithms and Complexity Lab at the University of Athens, collaborating with international researchers on cutting-edge projects.

• Computational Intelligence
• Environmental Sustainability
• Nuclear Engineering
• +۳ مورد دیگر

Tambouratzis Tatiana is an Associate Professor at the Department of Industrial Management & Technology, University of Piraeus. She specializes in applying computational intelligence techniques to complex systems, with a focus on environmental sustainability, nuclear engineering, and advanced manufacturing. Her work bridges theoretical research with practical applications in areas such as artificial neural networks, genetic algorithms, and decision-making models. Her research interests encompass sustainability index development, nuclear reactor diagnostics, and optimization strategies for environmental performance. She has extensively explored the reliability and reproducibility of sustainability metrics, contributing to improved methods for country-level environmental evaluations. Tambouratzis also investigates material selection in sustainable product design and innovative applications of soft computing in fields like traffic accident prediction and optical music recognition systems. Her publications demonstrate a strong focus on interdisciplinary solutions, combining artificial intelligence with domain-specific challenges. Recent work includes studies on 3D printing distortion analysis using neural networks and adaptive sustainability maximization through evolutionary strategies. Notably, she has collaborated on projects such as reactor diagnostics monitoring at Ringhals and developed methodologies for non-invasive flow regime identification in nuclear systems. Her research emphasizes real-world applicability, with applications ranging from energy systems to environmental policy frameworks. No scientific awards or current grants are explicitly mentioned in the provided materials. She maintains an active academic presence through teaching and research in the Industrial Management & Technology domain.