Anna-Maria Lazarova | Robotics and Automation | Innovative Research Award

Innovative Research Award

Anna-Maria Lazarova
Technical University of Sofia, Bulgaria

Anna-Maria Lazarova
Affiliation Technical University of Sofia
Country Bulgaria
Scopus ID 59425275700
Documents 3
Subject Area Robotics and Automation
Event Computer Scientists Awards
ORCID 0009-0009-3104-2901

Anna-Maria Lazarova is a researcher associated with the Technical University of Sofia whose documented scholarly work concerns robotics, automation, agricultural automation, and engineering systems. Her publications address the design of automated systems and specialized manufacturing solutions, providing evidence of interdisciplinary engagement between mechanical engineering, automation, electrical systems, and software development. [1]

Abstract

The research profile of Anna-Maria Lazarova reflects work in robotics and automation with particular attention to practical engineering systems. Her documented publications include research on modular mold design for injection molding of small nonmetal components and automated agricultural systems for sowing, watering, and chemical treatment. These studies demonstrate an applied orientation toward integrating mechanical design, automation, electrical engineering, and software components into functional systems. [1] [2]

Keywords

Robotics; Automation; Agricultural Automation; Injection Molding; Manufacturing Systems; Automated Sowing; Automated Watering; Chemical Treatment; Electrical Systems; Software Engineering.

Introduction

Automation research increasingly combines mechanical structures with sensing, control, electrical components, and software. Within this context, Lazarova’s published work illustrates an engineering approach directed toward the development and refinement of automated equipment. The reported research spans manufacturing applications and agricultural operations, indicating an interest in translating engineering concepts into practical systems. [2] [3]

Research Profile

The available bibliographic record lists three documents, with a Scopus author identifier of 59425275700. The subject classification associated with the profile is Robotics and Automation. The publication topics indicate multidisciplinary engineering activity involving automated machinery, manufacturing design, electrical subsystems, and software implementation. Citation and h-index values in the supplied profile are currently zero, which is consistent with a relatively limited indexed publication record and should not by itself be interpreted as a measure of research quality.

Research Contributions

One contribution concerns the design of a modular mold intended for injection molding of small-sized nonmetal parts. The study connects product-oriented manufacturing requirements with mold design and modular engineering principles. [1] A second research direction addresses an automated system for sowing, watering, and chemical treatment, demonstrating the application of automation to agricultural operations. [2] A related publication focuses specifically on the electrical and software components of such an automated system, highlighting the importance of integrated control architecture. [3]

  • Modular manufacturing design for small nonmetal components.
  • Automation of agricultural sowing, watering, and treatment processes.
  • Integration of electrical and software components within automated equipment.

Publications

  • Design of Modular Mold for Injection Molding of Small-Sized Nonmetal Parts
    Anna-Maria Lazarova, Stiliyan Nikolov, Reneta Dimitrova.
    Engineering Proceedings, MDPI.
  • Design of an Automated System for Sowing, Watering and Chemical Treatment
    Stiliyan Nikolov, Slav Dimitrov, Anna-Maria Lazarova.
    AIP Conference Proceedings, Volume 3063, Article 060009.
  • Development of Electrical and Software Part of an Automated System for Sowing, Watering and Chemical Treatment
    Slav Dimitrov, Anna-Maria Lazarova.
    AIP Conference Proceedings, Volume 3063, Article 060006.

Research Impact

The practical orientation of the reported research provides relevance to engineering applications where automation can improve repeatability, coordination, and system integration. The agricultural automation studies are particularly relevant to the development of equipment capable of coordinating multiple operational stages, while the manufacturing study addresses modular tooling for specialized production requirements. [1] [2]

Award Suitability

The documented research aligns with the scope of an Innovative Research Award because it addresses applied engineering problems through system design and technological integration. Evidence includes research on modular manufacturing tooling and the development of automated agricultural equipment incorporating electrical and software elements. [1] [3] This assessment is based on the supplied publication record and does not imply a comparative ranking against other researchers.

Conclusion

Anna-Maria Lazarova’s available scholarly record presents a focused engineering profile in robotics and automation. Her publications demonstrate involvement in manufacturing design and automated agricultural systems, including their electrical and software components. These contributions provide a documented basis for recognizing her engagement with applied automation research and interdisciplinary engineering development.

References

  1. Lazarova, Anna-Maria; Nikolov, Stiliyan; Dimitrova, Reneta. Design of Modular Mold for Injection Molding of Small-Sized Nonmetal Parts. MDPI, Engineering Proceedings.
    https://www.mdpi.com/2673-4591/154/1/36
  2. Nikolov, Stiliyan; Dimitrov, Slav; Lazarova, Anna-Maria. Design of an automated system for sowing, watering and chemical treatment. AIP Conference Proceedings, 3063, 060009.
    https://pubs.aip.org/aip/acp/article-abstract/3063/1/060009/3266757/
  3. Dimitrov, Slav; Lazarova, Anna-Maria. Development of electrical and software part of an automated system for sowing, watering and chemical treatment. AIP Conference Proceedings, 3063, 060006.
    https://pubs.aip.org/aip/acp/article-abstract/3063/1/060006/3266754/
  4. Elsevier. (n.d.). Scopus author details: Anna-Maria Lazarova, Author ID 59425275700. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59425275700
  5. ORCID. (n.d.). Anna-Maria Lazarova, ORCID 0009-0009-3104-2901.
    https://orcid.org/0009-0009-3104-2901
  6. Computer Scientists Awards. (n.d.). Computer Scientists Awards.
    https://computerscientists.net/

Mr. Ahmed Elsawi | Automation | Best Researcher Award

Mr. Ahmed Elsawi | Automation | Best Researcher Award

Project Manager Engineer | Mansoura University | United Arab Emirates

Ahmed Reda Ahmed Mohamed Elsawi is a defense systems researcher specializing in guidance, navigation, and control (GNC) for unmanned aerial vehicles, satellites, and intelligent aerospace systems. His research integrates control theory, deep learning, embedded systems, and optical sensing to enhance tracking accuracy, attitude determination, and autonomous performance in military-grade platforms. He has authored multiple international journal articles and conference papers covering UAV guidance laws, satellite control subsystems, encryption techniques, and neural-network-based optical measurement systems. His scholarly impact is reflected through Scopus and Google Scholar indexing, with over 100 citations, 11 indexed documents, and an h-index of 6, demonstrating sustained contributions to aerospace control and intelligent defense technologies.

Citation Metrics (Scopus)

120

90

60

30

10

0

 

Citations
117

Documents
11

h-index
6

          🟦 Citations 🟥 Documents 🟩 h-index


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