Mrs. Tsvetelina Georgieva | Engineering | Best Researcher Award

Assoc. Prof. at University of Ruse, Bulgaria

Tsvetelina Dimitrova Georgieva is a distinguished researcher and academician from Bulgaria, specializing in automation, mechatronics, and related fields. With extensive experience in academia, she has served as the Head of the Department of Automatics and Electronics at the University of Ruse since June 2017, and previously held the position of Head of the Department of Automatics and Mechatronics. Her work is recognized internationally, particularly in digital image processing, machine learning, and intelligent information systems, contributing significantly to both academic research and practical applications. Dr. Georgieva has also been actively involved in numerous national and international research projects, showcasing her leadership and communication skills through her roles as an academic supervisor and project coordinator.

Professional Profile:

• Google Scholar.

Education🎓 

Dr. Georgieva holds a Ph.D. in Automation from the University of Ruse, completed in 2007. Her academic journey began with a Master’s degree in Computer Systems and Technologies, with a specialization in Artificial Intelligence, which she completed between 1999 and 2003 at the same university. Additionally, she earned another Master’s degree in Computer Systems for Control, Diagnostics, and Management from the University of Ruse, where she studied from 1996 to 2001. This solid educational foundation has been instrumental in her successful academic and research career, enabling her to make significant contributions to the fields of automation, mechatronics, and artificial intelligence.

Professional Experience 💼

Dr. Georgieva has a substantial academic background and professional experience, serving as the Head of the Department of Automatics and Electronics at the University of Ruse. Her extensive tenure as an associate professor, coupled with previous roles as a principal assistant professor and assistant professor, demonstrates her significant contribution to academia. This long-term dedication to her field, particularly in the areas of automation and mechatronics, underscores her eligibility for the award.

Digital Competence🏅

Dr. Georgieva possesses excellent communication and digital skills, essential for modern research and academic collaboration. Her proficiency in multiple languages and her adept use of various digital platforms for research and teaching are indicative of her ability to adapt and thrive in diverse and technologically advanced environments. These skills enhance her profile as an outstanding researcher capable of contributing to and leading in the global research community.

Organisation Skill🔍

Dr. Georgieva has demonstrated considerable leadership and organizational capabilities, particularly in her role as the head of two departments at the University of Ruse. Her involvement in supervising PhD students and leading various academic projects further reflects her ability to mentor and guide future researchers. This leadership experience aligns well with the criteria for the Best Researcher Award, which often looks for individuals who have made significant contributions to their academic community.

Publications📜

• Design of wireless sensor network for monitoring of soil quality parameters
  T Georgieva, N Paskova, B Gaazi, G Todorov, P Daskalov
  📜 Agriculture and Agricultural Science Procedia 10, 431-437
  📆 2016
  📊 Cited by: 33
• An indirect approach for egg weight sorting using image processing
  J Alikhanov, SM Penchev, TD Georgieva, A Moldazhanov, Z Shynybay, …
  📜 Journal of Food Measurement and Characterization 12, 87-93
  📆 2018
  📊 Cited by: 25
• Indirect Method for Egg Weight Measurement Using Image Processing
  DP Alikhanov, SM Penchev, T Georgieva, A Moldajanov, Z Shynybaj
  📜 International Journal of Emerging Technology and Advanced Engineering 5 (11)
  📆 2015
  📊 Cited by: 22
• An Approach for Identifying Fusarium Infected Maize Grains by Spectral Analysis in the Visible and Near-Infrared Region, SIMCA Models, Parametric and Neural
  T Draganova, P Daskalov, R Tsonev
  📜 International Journal Bioautomation 14 (2), 119
  📆 2010
  📊 Cited by: 22
• Design and performance of an automatic egg sorting system based on computer vision
  J Alikhanov, SM Penchev, TD Georgieva, A Moldazhanov, …
  📜 TEM Journal 8 (4), 1319
  📆 2019
  📊 Cited by: 19
• Multicultural investigation of the students’ acceptance of using digital learning materials in laboratory classes
  F Sarsar, ÖA Kale, Ö Andiç‐Çakır, T Gueorguiev, B Evstatiev, T Georgieva, …
  📜 Computer Applications in Engineering Education 29 (4), 883-896
  📆 2021
  📊 Cited by: 15
• Research of the possibilities for determination of some basic soil properties using image processing
  T Georgieva, A Mihaylova, P Daskalov
  📜 2020 7th International Conference on Energy Efficiency and Agricultural …
  📆 2020
  📊 Cited by: 15
• Detection of bacterial contamination in milk using NIR spectroscopy and two classification methods-SIMCA and Neuro–Fuzzy classifier
  P Veleva-Doneva, T Draganova, S Atanassova, R Tsenkova
  📜 IFAC Proceedings Volumes 43 (26), 225-229
  📆 2010
  📊 Cited by: 15
• Innovative PLC training laboratory as a part of the Center of Excellence in the context of the ASEAN Factori 4.0 project
  P Daskalov, N Bencheva, T Georgieva, H Yahoui
  📜 2021 30th Annual Conference of the European Association for Education in …
  📆 2021
  📊 Cited by: 13
• Load profile of typical residential buildings in Bulgaria
  N Mihaylov, B Evstatiev, S Kadirova, T Gueorguiev, T Georgieva, …
  📜 IOP Conference Series: Earth and Environmental Science 172 (1), 012035
  📆 2018
  📊 Cited by: 13
• Classification of healthy and diseased vine leaves using color features
  K Georgieva, T Georgieva, E Kirilova, P Daskalov
  📜 ARTTE 3, 296-302
  📆 2015
  📊 Cited by: 11
• Selection of informative color features complexes from digital images of healthy and diseased vine leaves
  K Georgieva, E Kirilova, T Georgieva, P Daskalov
  📜 Applied Research on Technics, Technologies and Education 3 (4), 289-295
  📆 2015
  📊 Cited by: 10
• Model of Software System for automatic corn kernels Fusarium (spp.) disease diagnostics
  T Draganova, P Daskalov, R Tsonev
  📜 Proceedings of the 14th WSEAS international conference on Computers: part of …
  📆 2010
  📊 Cited by: 9
• Capacity development by implementation of PLC trainings towards Industry 4.0
  T Georgieva, N Bencheva, P Daskalov, H Yahoui, S Khemmarath
  📜 2022 31st Annual Conference of the European Association for Education in …
  📆 2022
  📊 Cited by: 8
• An approach for Fusarium infected corn kernels recognition using linear discrete models
  P Daskalov, V Mancheva, T Draganova, R Tsonev
  📆 2010
  📊 Cited by: 8