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.

Jawad Khan | Software Engineering | Best Researcher Award

Prof Dr.Jawad Khan | Software Engineering | Best Researcher Award

Assistant Professor Gachon University  South Korea

Dr. Jawad Khan is an Assistant Professor at Gachon University, South Korea. With extensive experience in data science and artificial intelligence, Dr. Khan’s work focuses on semantic learning, machine learning, and natural language processing. He has made significant contributions to the fields of text mining, software engineering, and cloud computing. Dr. Khan is dedicated to advancing research in these areas through innovative approaches and interdisciplinary collaboration.

Profile

Scopus

Education

🎓 Dr. Khan completed his Ph.D. in Computer Science and Engineering from Kyung Hee University, South Korea, in 2020. His thesis, “An Ensemble-based Effective Features Engineering and Intelligent Unified Framework for Sentiment Analysis,” was supervised by Prof. Young-Koo Lee. He holds an M.Sc. in Computer Science from Kohat University of Science and Technology, Pakistan, where he developed a computerized hotel management system under the guidance of Mr. Qadeem Khan. He earned his B.Sc. in Computer Science from the University of Malakand, Pakistan.

Experience

💼 From October 2020 to February 2023, Dr. Khan served as a Postdoctoral Fellow in the Department of Applied Artificial Intelligence at Hanyang University, South Korea, focusing on big data mining and sentiment analysis. Prior to this, he was a Research Associate at Kyung Hee University, South Korea, from March 2014 to September 2020, where he worked on social media analytics and sentiment classification.

Research Interests

🔍 Dr. Khan’s research interests encompass data science, artificial intelligence, natural language processing, semantic learning, machine learning, deep learning, text mining, data mining, software engineering, computer vision, cloud computing, and IoT. He is particularly focused on developing intelligent frameworks for sentiment analysis and enhancing feature engineering techniques.

Awards & Honors

🏆 Dr. Khan has been honored with a fully funded Ph.D. scholarship from Kyung Hee University, which he held from March 2014 to September 2020. This prestigious award supported his doctoral studies and research in computer science and engineering.

Publications

📝 Dr. Khan has numerous publications in esteemed journals and conferences. Here are some of his notable works:

  1. Factors influencing vendor organizations in the selection of DevOps for global software development: an exploratory study using a systematic literature review. Cognition, Technology & Work (2023).
  2. Investigating the dynamic relationship between stigma of fear, discrimination and employees performance among healthcare workers during Covid-19 pandemic. Cognition, Technology & Work (2023).
  3. An empirical study for prioritizing issue of software project management team. Cognition, Technology & Work (2023).
  4. Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection. IEEE Access 11 (2023).
  5. Monkeypox detection using CNN with transfer learning. Sensors 23, no. 4 (2023).

Geethanjali S | Data Analytics | Best Researcher Award

Prof. Geethanjali S | Data Analytics | Best Researcher Award

Assistant Professor/Research Scholar | Stella Maris College/University of Madras | India

Short Biography 🌟

S. Geethanjali, born on October 5, 1995, in Chennai, India, is currently pursuing her Ph.D. in Computer Science at the University of Madras. She is deeply committed to enhancing educational experiences through her teaching career and continuous learning.

Profile

ORCID

Education 📚

Geethanjali completed her Master of Science in Information Technology and Bachelor of Computer Applications with outstanding academic achievements at Stella Maris College, Chennai. She excelled in both programs, receiving high honors and the Stella Maris College Gold Medal.

Experience 💼

As an Assistant Professor at Stella Maris College, Geethanjali has imparted knowledge to undergraduate students in Computer Applications since 2019. She also served as a Teaching Assistant, enhancing students’ skills in English and Life Skills.

Research Interests 🔬

Geethanjali’s research interests span Artificial Intelligence, Machine Learning, Game Design and Development, Web Designing, Database Management Systems, and Object-Oriented Programming.

Award 🏆

Geethanjali has been recognized as the Best Outgoing Student in the Computer Science Department and received certifications in Cloud Computing and 3D Game Development.

Publications 📄

  1. Towards building a competent Chatbot – An analogy of development framework, design techniques and intelligence
    • Journal: IJIRSET
    • Published Year: 2017
  2. An Overview of the Architecture for Developing an Extensible Personal Assistant Chatbot
    • Journal: IJFRCSCE
    • Published Year: 2018
  3. Instance Reduction Algorithm Based on Elitist Min-Max Ant Colony Optimization Technique

 

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.

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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.