Marieta Yordanova | Information and communication technologies | Best Researcher Award

Ms. Marieta Yordanova | Information and communication technologies | Best Researcher Award 

Assistant professor | Technical University of Varna | Bulgaria

Based on the provided information, Marieta Yordanova appears to be a promising candidate for the Research for Best Researcher Award. Here is an evaluation of her strengths, areas for improvement, and a conclusion:

Strengths for the Award

  1. Relevant and Recent Research: Marieta Yordanova has published several papers on cutting-edge topics in the field of communication protocols, artificial intelligence, and security in transportation systems and IoT networks. Her publications are recent and appear in reputable conferences and journals, which indicates that her research is current and relevant.
  2. Diverse Experience: Her work experience includes both academic and industry roles, with significant involvement in teaching and research at the Technical University of Varna and a brief but relevant stint as a SOC Analyst at DXC Technology. This combination of roles suggests a strong practical and theoretical foundation in her field.
  3. Educational Background: Marieta has a solid educational background, with a Bachelor’s, Master’s, and ongoing PhD studies at well-regarded Bulgarian technical universities. This progressive academic path reflects a commitment to deepening her expertise.
  4. International Exposure: Participation in international programs such as Erasmus+ and conferences in Germany demonstrates her engagement with the global research community and exposure to diverse perspectives and methodologies.
  5. Collaborative Research: Her publications often involve co-authors, indicating a collaborative approach to research, which is crucial for generating impactful findings and fostering interdisciplinary work.

Areas for Improvement

  1. Broader Publication Impact: While Marieta has published several papers, increasing the breadth of her publications to include more high-impact journals and conferences could further bolster her research profile. Diversifying publication venues can enhance her visibility and impact in the field.
  2. Research Diversity: Expanding her research focus to include a wider range of topics within her domain might be beneficial. Although her current work is relevant, exploring additional areas within her field could demonstrate a broader expertise.
  3. Professional Networking: Building a stronger professional network through more extensive collaborations with researchers from other institutions and industries could enhance the scope and impact of her research.
  4. Funding and Grants: Gaining experience in securing research funding or grants could be advantageous. This experience often demonstrates a researcher’s ability to manage and lead significant projects and contribute to their field’s advancement.

Short Bio

Marieta Yordanova is a dedicated researcher and academic currently serving as a teaching assistant at the Technical University of Varna, Bulgaria. With a strong background in communication protocols, artificial intelligence, and security in transportation systems, she is actively involved in advancing research in these fields. Her professional experience spans both academia and industry, reflecting a robust blend of theoretical knowledge and practical application.

Profile

ORCID

Education

Marieta Yordanova earned her Bachelor’s degree from the Technical University of Gabrovo in 2022, followed by a Master’s degree from the Technical University of Varna in 2022. She is currently pursuing a PhD at the Technical University of Varna, where she continues to build upon her expertise in her chosen research areas.

Experience

Marieta began her career as a SOC Analyst at DXC Technology in Sofia, Bulgaria, where she gained valuable industry experience in security operations. Since September 2022, she has been a teaching assistant at the Technical University of Varna, where she contributes to both teaching and research, fostering the next generation of engineers and researchers.

Research Interests

Marieta’s research interests are centered around communication protocols, artificial intelligence in autonomous vehicles, and security for intelligent transportation systems and IoT networks. Her work focuses on developing and evaluating advanced technologies to enhance the efficiency and safety of these systems.

Awards

While specific awards were not listed in the provided information, Marieta’s contributions to her field, including her publications and active participation in international conferences, reflect her recognition and potential for future awards.

Publication

Yordanova, Marieta, and Aydan Haka.VANET Framework for Incident Response and Management.” 2023 4th International Conference on Communications, Information, Electronic and Energy Systems (CIEES). IEEE, 2023.

Yordanova, Marieta, and Aydan Haka.Comparative Evaluation of Communication Protocols in the Automotive Industry.” 2023 18th Conference on Electrical Machines, Drives and Power Systems (ELMA). IEEE, 2023.

Yordanova, Marieta. “Development of artificial intelligence technologies in autonomous vehicles.” Computer Science and Technologies, Year XX, Number 2/2022, pp. 79-83, ISSN 1312-3335.

Haka, Aydan, Marieta Yordanova. “Security Methods for Intelligent Transportation Systems with Artificial Intelligence.” Computer Science and Technologies, Year XXI, Number 1/2023, pp. 28-37, ISSN 1312-3335.

Yordanova, Marieta, Aydan Haka, Veneta Aleksieva, and Hristo Valchanov.A Simulation Tool for Security in ZigBee-Based IoT Networks.” Engineering Proceedings, 2024; 70(1):21.

Conclusion

Marieta Yordanova shows strong potential for the Research for Best Researcher Award. Her recent and relevant research, solid educational background, and international experience are significant strengths. To strengthen her candidacy further, she might focus on broadening the impact of her publications, diversifying her research topics, and enhancing her professional network and funding experience. Overall, her achievements to date indicate a promising trajectory in her research career.

Guda Vanitha | Computer Science | Best Researcher Award

Dr. Guda Vanitha | Computer Science | Best Researcher Award

Associate Professor, Chaitanya Bharathi Institute of Technology,(A), India

Dr. G. Vanitha is an accomplished educator and Assistant Professor in the Department of Computer Science Engineering at Chaitanya Bharathi Institute of Technology. With 17 years of teaching experience, she holds a Ph.D. in Computer Science Engineering from Jawaharlal Nehru Technological University, Hyderabad. Her research focuses on Natural Language Processing, particularly in event time relation extraction. Dr. Vanitha has authored a textbook, holds multiple patents, and has received numerous awards for her contributions to academia.

Profile

Google Scholar

 

🎓 Education:

Dr. Vanitha completed her Ph.D. in Computer Science Engineering from Jawaharlal Nehru Technological University, Hyderabad in 2021. She also holds an M.Tech in Computer Science Engineering (2012) and a B.Tech in Computer Science Engineering (2006) from Bharat Institute of Engineering Technology, JNTUH, Hyderabad. Additionally, she pursued a Diploma in Computer Science Engineering and completed her SSC from the Board of Secondary School of Education.

💼 Experience:

She has been serving as an Assistant Professor in Computer Science and Engineering at Chaitanya Bharathi Institute of Technology since April 2007. Prior to this, she held an ad-hoc position in the same department from August 2006 to April 2007.

🔬 Research Interests:

Dr. Vanitha’s research interests include Language Theory, Data Engineering, Machine Learning, and Artificial Intelligence. Her work focuses on developing frameworks for event extraction and representation in natural language texts.

🏆 Awards:

Dr. Vanitha received the “Pre-eminent Researcher National Award 2022” from Chennai Teacher’s Council (CTC) in recognition of her outstanding contributions to research.

📚 Publications:

Covid19 Patterns Analyzation Using Machine Learning, International Journal of Interdisciplinary Cycle Research (JICR), 2021.

Building Graph for Events and Time in Natural Language Text, International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2020.

Heart Disease Prediction Using Hybrid Technique, Journal of Interdisciplinary Cycle Research (JICR), 2020.

Event Extraction And Classification From English Articles, International Journal of Recent Technology and Engineering (IJRTE), 2019.

Event-Time Relation in Natural Language Text, International Journal of Engineering and Advanced Technology (IJEAT), 2019.

Performance Analysis of Learning Models on Medical Documents, International Journal of Innovative Research in Technology (IJIRT), 2018.

 

Nooshin Bigdeli | Control Engineering | Best Researcher Award

Nooshin Bigdeli | Control Engineering | Best Researcher Award

 

Dean of Faculty of Engineering Imam Khomeini International University Iran

Short Biography 📚

Nooshin Bigdeli, born on March 21, 1977, in Iran, is a distinguished academic specializing in Control Engineering. She earned her Ph.D. in Electrical Engineering with a focus on Control from Sharif University of Technology, Tehran, Iran, in 2007. Since then, she has been an integral part of the Control Engineering Department at Imam Khomeini International University, Qazvin, Iran, demonstrating expertise in Control Theory, Nonlinear Systems, Artificial Intelligence, Data Mining, and Energy Systems Management.

profile

google scholar

Education 🎓

Dr. Nooshin Bigdeli received her Ph.D. in Electrical Engineering, specializing in Control, from Sharif University of Technology, Tehran, Iran, in 2007.

Experience 💼

Dr. Bigdeli has been affiliated with Imam Khomeini International University, Qazvin, Iran, since completing her Ph.D. in 2007. Her tenure includes significant contributions to the Control Engineering Department, focusing on MPC and Nonlinear Systems.

Research Interest 🧠

Professor Bigdeli’s current research interests encompass Control Theory, Nonlinear Systems, Artificial Intelligence, Data Mining, and the Management and behavioral analysis of energy systems.

Award 🏆

In 2024, Dr. Bigdeli was recognized as an Outstanding National Professor of Iran, highlighting her influential contributions to academia and research.

Publication  📖Top Notices

Selected Publications:

  1. Simplified Modeling and Generalized Predictive Position Control of Ultrasonic Motors, ISA Transactions, April 2005.
  2. Time-series analysis of TCP/RED computer networks, an empirical study, Chaos Solitons & Fractals, January 2009.
  3. Characterization of complex behaviors of TCP/RED computer networks based on nonlinear time series analysis methods, Physica D: Nonlinear Phenomena, September 2007.
  4. A New Approach for Reserve Market Clearing and Cost Allocating in a Pool Model, Iranian Journal of Science and Technology, 2007.
  5. AQM Controller Design for Networks Supporting TCP Vegas: A Control Theoretic Approach, ISA Transactions, January 2008.