Theoklitos Karakatsanis | Engineering and Technology | Best Researcher Award

Theoklitos Karakatsanis | Engineering and Technology | Best Researcher Award

Assist Prof Dr Theoklitos Karakatsanis, Democritus University of Thrace, Greece

Based on the information provided, Assist. Prof. Dr. Theoklitos Karakatsanis appears to be a strong candidate for the Best Researcher Award for several reasons:

Publication profile

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Academic Position

Currently, he serves as an Assistant Professor at the School of Engineering, Democritus University of Thrace (DUTH), focusing on Production Engineering and Management.

Professional Experience

Currently, he serves as an Assistant Professor at the School of Engineering, Democritus University of Thrace (DUTH), in the Department of Production Engineering and Management. His extensive experience includes years as a private consultant engineer and work as an Elevator Engineer since 1989.

Research Contributions

Focus Areas: His research interests in modeling and control of electric machines, energy production, and saving are highly relevant in todayโ€™s energy landscape, especially with the growing importance of renewable energy sources.

Publications: Dr. Karakatsanis has co-authored numerous publications in respected journals, with a focus on probabilistic load flow analysis and its applications in power systems. His work on integrating wind power into distribution systems is particularly noteworthy, as it addresses critical challenges in renewable energy management.

Research Interests

His research interests are centered around modeling and control of electric machines, production energy, and energy saving.

Impact and Collaborations

Collaborative Work: He has collaborated with recognized researchers, which strengthens the credibility and reach of his work. His participation in various conferences and publications demonstrates an active engagement in his field.

Practical Application: His extensive experience as a consultant engineer enhances the practical applicability of his research, bridging the gap between theory and real-world implementation.

Professional Affiliations

Membership: Being a member of IEEE and the Technical Chamber of Greece highlights his professional standing and commitment to ongoing professional development.

Conclusion

Given his strong academic credentials, impactful research contributions, and active involvement in the engineering community, Assist. Prof. Dr. Theoklitos Karakatsanis is a suitable candidate for the Best Researcher Award. His work not only contributes to academic knowledge but also offers practical solutions in energy management and sustainability.

Publication top notes

Probabilistic load flow in distribution systems containing dispersed wind power generation

Probabilistic constrained load flow based on sensitivity analysis

Voltage control settings to increase wind power based on probabilistic load flow

Probabilistic load flow for assessment of voltage instability

Distribution system voltage and reactive power control based on probabilistic load flow analysis

The effect of wind parks on the operation of voltage control devices

Probabilistic calculations of aggregate storage heating loads

Probabilistic constrained load flow for optimizing generator reactive power resources

A probabilistic approach to control variable adjustment for power system planning applications

Probabilistic cost allocation of losses in networks with dispersed renewable generation

 

Ioannis Chatzilygeroudis | Computer Science and Artificial Intelligence | Best Researcher Award

Ioannis Chatzilygeroudis | Computer Science and Artificial Intelligence | Best Researcher Award

Prof Ioannis Chatzilygeroudis, University of Patras, Greece

Prof. Emeritus at the University of Patras, Greece, with a rich educational background in Mechanical and Electrical Engineering (NTUA), Theology (University of Athens), MSc in Information Technology, and a PhD in Artificial Intelligence (University of Nottingham). Fluent in Greek and English, he specializes in AI, KR&R, knowledge-based systems, theorem proving, intelligent tutoring, e-learning, machine learning, natural language generation, sentiment analysis, semantic web, and educational robotics. His prolific research includes a PhD thesis, 18 edited volumes, 21 book chapters, 46 journal papers, 115 conference papers, 8 national conference papers, and 14 workshop papers. ๐Ÿ“š๐Ÿค–๐Ÿ’ป๐ŸŒ

Publication profile

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Education

๐Ÿ“š From September 1968 to June 1974, completed secondary education, earning a Certificate of High School Graduation in Science. ๐ŸŽ“ Pursued a Diploma in Mechanical and Electrical Engineering with a specialization in Electronics at the National Technical University of Athens from October 1974 to July 1979. ๐Ÿ“œ From February to June 1983, obtained a Certificate of Educational Studies from PATES of SELETE, Greece. ๐Ÿ“– Achieved a Bachelor in Theology from the University of Athens, completed between October 1979 and December 1987. ๐ŸŽ“ Earned an MSc in Information Technology from the University of Nottingham in 1989, followed by a PhD in Artificial Intelligence from the same university in 1992. ๐Ÿง  Thesis: โ€œIntegrating Logic and Objects for Knowledge Representation and Reasoning.โ€

Experience

๐Ÿ“˜ From Feb. 1982 to June 1982, I served as a part-time lab professor at PALMER Higher School of Electronics in Greece, teaching Electronics Lab. My full-time teaching journey began at TEI of Athens (1982-84), where I covered courses like Electrotechnics and Circuit Theory. My secondary education tenure (1984-92) focused on electrical engineering subjects. I then transitioned to higher education, teaching at TEI of Kozani and Chalkida, and later at the University of Nottingham (1990-92). From 1995-2006, I was a senior researcher and lecturer at the University of Patras, ultimately becoming a professor (2009-2023). Now, I am a Professor Emeritus. ๐ŸŽ“๐Ÿ”ฌ

Projects

From June 1993 to November 1995, I managed the CTI team for the DELTA-CIME project, developing a knowledge-based production control system. I led several initiatives, including the MEDFORM project for multimedia education and the national project for educational software in chemistry. As a senior researcher, I contributed to intelligent systems for tele-education and hybrid knowledge representation. I led multiple European projects like MENUET, AVARES, and TESLA, focusing on innovative education through virtual reality. My work aims to enhance learning experiences across disciplines, involving collaboration with various international partners. ๐ŸŒ๐Ÿ“š๐Ÿ’ป๐ŸŽ“

Research focus

Ioannis Hatzilygeroudis specializes in artificial intelligence and its applications in various domains, particularly in agriculture and healthcare. His research includes intelligent systems for diagnosing farmed fish diseases, employing deep learning techniques for image analysis, and exploring natural language processing methods. He has contributed significantly to the development of expert systems and reinforcement learning approaches to improve disease prediction in aquaculture. Additionally, his work in sentiment analysis and e-learning demonstrates a commitment to advancing educational technologies and user experience. Hatzilygeroudisโ€™s interdisciplinary approach combines computer science with practical applications, making significant strides in health and environmental management. ๐ŸŒฑ๐ŸŸ๐Ÿ’ป๐Ÿ“Š

Publication focus

Using Level-Based Multiple Reasoning in a Web-Based Intelligent System for the Diagnosis of Farmed Fish Diseases

An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture

Speech Emotion Recognition Using Convolutional Neural Networks with Attention Mechanism

Expert Systems for Farmed Fish Disease Diagnosis: An Overview and a Proposal

Expert Systems for Farmed Fish Disease Diagnosis: An Overview and a Proposal

A Convolutional Autoencoder Approach for Boosting the Specificity of Retinal Blood Vessels Segmentation

Evaluating Deep Learning Techniques for Natural Language Inference