جستجوی استاد راهنمای دانشگاهی

Vlachos Kostasمشاهده پروفایل

استادیار

• Robotics
• Control of Robotic Mechanisms
• Microrobotics
• +۷ مورد دیگر

Kostas Vlachos is an Assistant Professor in the Department of Computer Science and Engineering at the University of Ioannina, Greece. He has been in this position since 2014, following prior teaching roles at the University of Thessaly (2007–2013). He is a member of the Information Processing and Analysis (I.P.AN.) research group and actively supervises PhD, MSc, and diploma students in robotics and control systems. PhD, School of Mechanical Engineering, National Technical University of Athens, 2004 MSc, Interdepartmental Postgraduate Program in Automation Systems, National Technical University of Athens, 2000 Diploma in Electrical Engineering, Technical University of Dresden, Germany, 1993 His research focuses on robotics and control, with emphasis on microrobotics , haptic mechanisms , medical simulators , and autonomous navigation . He has made significant contributions to over-actuated marine platforms, reinforcement learning for navigation, and tactile robotic systems. His work bridges mechanical engineering and computer science, particularly in intelligent robotic control. The 15 most recent publications highlight a strong trend in autonomous marine robotics , multi-agent reinforcement learning , and intelligent control systems . Key themes include energy-efficient control, obstacle avoidance, sensor fusion, and learning-based navigation. The research spans from theoretical control design to real-world implementation in unmanned surface vehicles and microrobots. Best Student Paper Award, 9th Hellenic Conference on AI (SETN 2016) Vlachos has supervised over 30 students at various levels and has participated in multiple national and European research projects in robotics and automatic control. His teaching includes courses such as Computational Mathematics, Robotics, and Robotic Systems. He collaborates extensively with researchers like E. Papadopoulos and K. Blekas. He leads research within the Information Processing and Analysis (I.P.AN.) group, focusing on intelligent perception and control of robotic systems. His lab works on mobile manipulators, haptic devices, mini-robots, and marine platforms, integrating simulation (ROS/Gazebo) with real-world experimentation.

• Traffic Engineering
• Automated Vehicles
• Reinforcement Learning
• +۵ مورد دیگر

Papamichail Ioannis is a Professor at the School of Production Engineering and Management, Technical University of Crete. His research focuses on advanced traffic control systems, automated vehicle navigation, and intelligent transportation systems. He specializes in macroscopic/microscopic traffic modeling, reinforcement learning applications, and optimization-based control strategies for lane-free and conventional traffic environments. Key research areas include automated vehicle trajectory planning, variable speed limit algorithms, cooperative adaptive cruise control, and intersection control for connected vehicles. His work integrates numerical methods, partial differential equations, and multiagent decision-making frameworks to address traffic congestion, safety, and efficiency challenges. Recent investigations emphasize lane-free traffic systems, exploring optimal path planning, vehicle nudging strategies, and boundary control mechanisms through microscopic simulations. He has also developed novel controllers for highway work zones and urban networks, leveraging data fusion and real-time state estimation techniques. Ioannis collaborates on EU-funded projects and actively contributes to SUMO-based simulation tools for automated vehicle testing. His research bridges theoretical control systems with practical traffic management solutions, aiming for zero congestion/accidents in future transportation networks.

Konstantinos D. Blekasمشاهده پروفایل

استاد

• Machine Learning
• Autonomous Agents
• Computer Vision
• +۱ مورد دیگر

Konstantinos D. Blekas is a Professor at the Department of Computer Science & Engineering , Polytechnic School, University of Ioannina. His career spans over 25 years with research focusing on Machine Learning , Autonomous Agents , Computer Vision , and Bioengineering . Education: Diploma in Electrical Engineering (1993) and PhD in Electrical & Computer Engineering (1997) from NTUA. Teaching: Offers courses like Probabilities & Statistics (MY304), Machine Learning (MYE002), Data Mining, and Bioinformatics. Research Interests include advanced machine learning techniques, reinforcement learning applications in traffic and robotics, image segmentation, and bioinformatics for medical data analysis. His work bridges theoretical innovation with practical implementations in autonomous systems and biomedical research. Recent Publications highlight trends in multiagent reinforcement learning , neural network optimization , and fMRI data modeling , with applications in robotics, air traffic management, and biomedical imaging. Collaborative projects often integrate spatial constraints and generative models. Scientific Awards Best Paper Award, DASC 2018 Best Student Paper Award, SETN 2018 2nd Winner, AIBIRDS 2014 Competition Professional Impact includes mentoring students, developing educational curricula, and cross-disciplinary research in medical AI. His work is widely cited (>1000 citations) with contributions to journals like Neural Networks , Medical Imaging , and AI Magazine .

Panagiotis Kasnesisمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Deep Learning
• Semantic Web Technologies
• +۳ مورد دیگر

Panagiotis Kasnesis is a Senior Research Fellow at the Department of Electrical & Electronics Engineering, University of West Attica. He holds a Ph.D. in Computer Science from NTUA, alongside degrees in Chemical Engineering and Techno-Economic Systems. His research focuses on machine/deep learning, Semantic Web technologies, multiagent systems, and IoT, with over 20 publications in top journals and conferences. He is an NVIDIA DLI-certified instructor in Natural Language Processing and Computer Vision. Education: Ph.D. (Computer Science, NTUA), Diploma in Chemical Engineering (NTUA), M.Sc. in Techno-Economic Systems (NTUA) Research interests span health informatics, wearable devices, and sensor fusion, with projects in biomedical signal analysis and IoT applications. His work includes developing radar-based systems for health monitoring and AR/VR solutions for rehabilitation. He actively participates in EU-funded projects and promotes trustworthiness in social media through initiatives like EUNOMIA. Recent publications emphasize health tech innovations, such as stress detection via PPG signals, UWB radar-based human detection, and multimodal fusion for 3D pose estimation. His contributions also address cultural heritage preservation through VR and crowdsourcing. Grants and collaborations involve European R&D projects in IoT security, emergency response systems, and decentralized social media frameworks. He leads efforts in embodied AR for medical applications and energy-efficient neural networks.

Georgios Chalkiadakisمشاهده پروفایل

استاد

• Multiagent Systems
• Artificial Intelligence
• Algorithmic Game Theory
• +۷ مورد دیگر

Professor Georgios Chalkiadakis is affiliated with the School of Electrical and Computer Engineering at the Technical University of Crete , where he is a member of the Intelligent Systems Laboratory . His research spans multiagent systems, artificial intelligence, and algorithmic game theory, focusing on sequential decision making under uncertainty, (deep) reinforcement learning, coalition formation in cooperative/non-cooperative game theory, recommender systems, and real-world intelligent agent applications in domains like Smart Grid, tourism, and participatory democracy. Area Chair, ECAI-2025 (prestigious A-ranked AI conference) Contact: gehalk@intelligence.tuc.gr | Address: Intelligent Systems Laboratory, Kounoupidiana Campus, Chania, Crete, Greece (73100)

Amit K. Chopraمشاهده پروفایل

مدرس ارشد

• Decentralized systems
• Multiagent systems
• Software engineering
• +۵ مورد دیگر

Amit K. Chopra is a Senior Lecturer (Associate Professor) in the School of Computing and Communications at Lancaster University. His research focuses on decentralized systems, multiagent systems, and software engineering, with particular interest in how autonomous agents can interact with maximal flexibility in sociotechnical settings where agents represent autonomous parties and their decisions have normative consequences. Dr. Chopra has developed a unique approach called Interaction-Oriented Programming (IOP) that constitutes a foundation for flexible interactions between decentralized agents. This framework has evolved to include world-leading languages for modeling multiagent interactions, both in terms of normative meaning and interaction protocols, along with approaches for verifying them and programming models for implementing intelligent agents. His work challenges conventional wisdom in fields such as software engineering, distributed systems, programming languages, and business processes. His research spans theoretical foundations to practical implementations, with applications in e-business, health, finance, and other domains. Recent publications show a strong focus on tools and frameworks including Fluid (social norms-based multiagent systems), Argus (programming with communication protocols), Kiko (programming agents to enact protocols), Mandrake (fault-tolerant decentralized applications), and Azorus (commitments over protocols for BDI agents). Senior Lecturer (Associate Professor), School of Computing and Communications, Lancaster University Research interests: Decentralized systems, Multiagent systems, Software engineering, Sociotechnical systems Developed Interaction-Oriented Programming (IOP) framework for flexible agent interactions Active contributor to major conferences including PLDI 2020 tutorial on 'Programming for Autonomy' Dr. Chopra's work bridges theoretical foundations with practical applications, addressing fundamental challenges in decentralized computing including asynchrony and concurrency - areas where computing has traditionally struggled. His approach to commitment protocols and interaction-oriented programming represents a significant contribution to the field of multiagent systems and decentralized computing.

Chalkiadakis Georgiosمشاهده پروفایل

استاد

• Multiagent Systems
• Artificial Intelligence
• Algorithmic Game Theory
• +۳ مورد دیگر

Georgios Chalkiadakis is a Professor at the School of Electrical and Computer Engineering (ECE), Technical University of Crete. He leads the Intelligent Systems Laboratory (InteLLigence) and specializes in Multiagent Systems, Artificial Intelligence, Algorithmic Game Theory, and Decision Making under Uncertainty. His work bridges theoretical advancements with practical applications in Smart Grids, Autonomous Systems, and Recommender Systems. Education: PhD in Computer Science, University of Toronto, Canada (2007) MSc in Computer Science, University of Crete (1999) BSc in Computer Science, University of Crete (1997) Research Interests: Multiagent Coordination and Learning Algorithmic Game Theory (Cooperative Games, Coalition Formation) Reinforcement Learning in Heterogeneous Environments Smart Grid Applications and Distributed Energy Resources Agent-Based Modeling of Ancient Societies Recent Trends in Publications: His recent work focuses on autonomous driving in lane-free traffic, IoT-enabled MAS for V2G systems, and hybrid recommendation models for tourism. He explores Seldonian RL frameworks for safe ad-hoc teamwork and develops compact representation schemes for large-scale cooperative games. Awards: Nominee for IFAAMAS Victor Lesser Distinguished Dissertation Award (2007) Labs/Teams: Intelligent Systems Laboratory (InteLLigence) Collaborations on Agent-Based Modeling of Past Societies and Smart Grid Technologies