Vijaya G | Computer Science | Women Researcher Award

Dr. Vijaya G | Computer Science | Women Researcher Award

Dr. Vijaya G, Sri Krishna College of Engineering and Technology, Coimbatore, India

Dr. G. Vijaya is an accomplished educator, researcher, and administrator with over 18 years of experience in academia and operations management. Currently a Professor at Sri Krishna College of Engineering and Technology, she has previously held leadership roles, including Principal In-Charge and Head of Department. Her expertise spans curriculum development, faculty training, research supervision, and program implementation. She has been instrumental in introducing innovative courses, securing research funding, and mentoring students in cutting-edge areas like Artificial Intelligence, Machine Learning, and Cybersecurity. With multiple certifications, including Fortinet Certified Associate in Cybersecurity and NPTEL mentorship, she has made a significant impact on student learning and institutional growth. Dr. Vijaya has been recognized with several awards, including the Honorary Doctorate (D.Litt.) from the University of South America and the IEAE Young Achiever Award. Her dedication to research and education has positioned her as a leader in Computer Science and Engineering.

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Summary of Suitability for the Research for Women Researcher Award

Dr. G. Vijaya M.E. Ph.D. stands out as a highly qualified and accomplished educator with over 18 years of experience across multiple domains, including administration, operations management, teaching, curriculum development, and research. Her extensive academic and professional journey has consistently focused on empowering students, particularly women, and making significant contributions to the educational landscape.

Dr. Vijaya has been deeply involved in initiatives that promote the advancement of women in engineering and technology. As the Principal In-Charge at Bapatla Womenโ€™s Engineering College and later as a professor at Sri Krishna College of Engineering and Technology, she has taken leadership roles that directly impact female students. She has been instrumental in spearheading projects that aim to enhance the skill sets of women, such as the Pradhan Mantri Kaushal Vikas Yojana, which focuses on rural self-employment, and the various Faculty Development Programs she has initiated.

๐ŸŽ“ Education

Dr. G. Vijaya holds a Doctorate (Ph.D.) in Computer Science and Engineering from Annamalai University, specializing in Artificial Intelligence and Machine Learning applications. Her Masterโ€™s degree (M.E.) in Computer Science has provided her with a strong foundation in software development, data structures, and emerging technologies. She completed her Bachelorโ€™s degree in Computer Science and Engineering, excelling in her academic pursuits and demonstrating a passion for research from an early stage. Throughout her educational journey, she has been an active participant in technical workshops, conferences, and training programs. She has also completed various certifications, including NPTEL courses in Python for Data Science and Soft Skills Development. Her academic background has enabled her to bridge the gap between theoretical knowledge and real-world applications, allowing her to develop innovative solutions and contribute to cutting-edge research in Artificial Intelligence, Cybersecurity, and Computational Biology.

๐Ÿ’ผ Professional Experienceย 

Dr. G. Vijaya has an extensive career in academia, spanning multiple prestigious institutions. She started as an Assistant Professor at Kalasalingam University and later progressed to Associate Professor at Bapatla Womenโ€™s Engineering College. She has served as Principal In-Charge, overseeing institutional development, faculty training, and curriculum enhancement. Currently a Professor at Sri Krishna College of Engineering and Technology, she is actively involved in mentoring students, leading research initiatives, and implementing AI-driven educational advancements. Her expertise includes academic administration, accreditation coordination (NBA, NAAC), and research proposal development. She has successfully secured government funding for AICTE-sponsored projects, focusing on ethical AI and smart technology applications. Additionally, she has played a key role in increasing departmental pass percentages and establishing industry-academic collaborations. With a passion for leadership, she has served as a Board of Studies (BoS) member, IEEE Coordinator, and Department Advisory Committee (DAC) Coordinator.

๐Ÿ… Awards and Recognition

Dr. G. Vijayaโ€™s contributions to academia and research have been widely recognized. She was awarded an Honorary Doctorate (D.Litt.) from the University of South America for her exceptional work in Computer Science. She also received the IEAE Young Achiever Award for her research excellence. She has been certified as a Fortinet Certified Associate in Cybersecurity and recognized as a mentor for the IEEE Sustainable Solution for Humanity 2024. Her book, Futuristic Trends in Computing Technologies and Data Sciences, has been published by Iterative International Publishers. She has received multiple Certificates of Appreciation for achieving outstanding student results in AI and Machine Learning courses. Additionally, she secured research funding from AICTE, CSIR, and TNSCST for projects on AI ethics and smart agriculture. Her dedication to education, leadership in accreditation processes, and mentorship in research have made her a distinguished figure in Computer Science.

๐ŸŒ Research Skills On Computer Science

Dr. G. Vijaya specializes in Artificial Intelligence, Machine Learning, Deep Learning, and Cybersecurity. She has extensive experience in AI-driven predictive analytics, ethical AI integration, and IoT-enabled smart solutions. Her research contributions extend to Computational Biology, Natural Language Processing, and Blockchain for secure computing. She has successfully guided research projects in AI ethics, data security, and cloud computing. She has authored high-impact research papers and collaborated with industry experts on AI applications. As a Board of Studies (BoS) member, she has helped shape Computer Science curricula to incorporate cutting-edge technologies. She has mentored students in AI-based problem-solving competitions and secured research grants for AICTE-sponsored projects. Her ability to integrate AI methodologies with real-world applications has positioned her as a leading researcher in the field. She continues to contribute to emerging trends in AI governance, cybersecurity, and data-driven decision-making.

๐Ÿ“– Publication Top Notes

  1. Optimization and analysis of microwave-assisted extraction of bioactive compounds from Mimosa pudica L. using RSM & ANFIS modeling

    • Authors: V. Ganesan, V. Gurumani, S. Kunjiappan, T. Panneerselvam, …
    • Citations: 43
    • Year: 2018
  2. An adaptive preprocessing of lung CT images with various filters for better enhancement

    • Authors: G. Vijaya, A. Suhasini
    • Citations: 36
    • Year: 2014
  3. A novel noise reduction method using double bilateral filtering

    • Authors: G. Vijaya, V. Vasudevan
    • Citations: 17
    • Year: 2010
  4. Automatic detection of lung cancer in CT images

    • Authors: G. Vijaya, A. Suhasini, R. Priya
    • Citations: 15
    • Year: 2014
  5. Drivers Drowsiness Detection using Image Processing and I-Ear Techniques

    • Authors: S. Ananthi, R. Sathya, K. Vaidehi, G. Vijaya
    • Citations: 13
    • Year: 2023
  6. A simple algorithm for image denoising based on ms segmentation

    • Authors: G. Vijaya, V. Vasudevan
    • Citations: 13
    • Year: 2010
  7. Bilateral filtering using modified fuzzy clustering for image denoising

    • Authors: G. Vijaya, V. Vasudevan
    • Citations: 9
    • Year: 2010
  8. Image Denoising based on Soft Computing Techniques

    • Authors: G. Vijaya, V. Vasudevan
    • Citations: 4
    • Year: 2011
  9. A review analysis of attack detection using various methodologies in network security

    • Authors: P. R. Kanna, S. Gokulraj, K. Karthik, G. Vijaya, G. S. Kumar, G. Rajeshkumar
    • Citations: 3
    • Year: 2022
  10. Deep learning-based computer-aided diagnosis system

  • Authors: G. Vijaya
  • Citations: 2
  • Year: 2022

Iustina Ivanova | Computer Science | Best Researcher Award

Mrs. Iustina Ivanova | Computer Science | Best Researcher Award

๐Ÿ‘คย Mrs. Iustina Ivanova, FBK, Italy

Iustina Ivanova is an accomplished researcher in the field of Artificial Intelligence (AI) with a focus on computer vision and machine learning applications in real-world scenarios. She holds a Masterโ€™s degree in Artificial Intelligence from the University of Southampton, where she earned distinction for her research on neural networks for object detection. Currently, Iustina is engaged in AI research in smart agriculture at the Fondazione Bruno Kessler in Italy. Over the years, she has contributed to a variety of high-impact projects, including developing a recommender system for outdoor sport climbers and researching sensors for sports activity analysis. Her work has earned her several well-regarded publications and recognition in the AI and computer vision communities.

Professional Profile

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๐ŸŒŸย Summary of Suitability for the Research for Best Researcher Award

Iustina Ivanova demonstrates exceptional qualifications for the “Research for Best Researcher Award.” Her academic background, professional experience, and research contributions highlight her significant impact on the fields of artificial intelligence (AI), machine learning, and computer vision. Her academic journey is distinguished by a Masterโ€™s degree in Artificial Intelligence with distinction from the University of Southampton and ongoing research pursuits during her Ph.D. studies. While her Ph.D. remains incomplete, the work she has undertakenโ€”such as her contributions to recommender systems and computer visionโ€”showcases her ability to address complex, real-world problems.

Professionally, Iustina’s research experience is diverse and impactful. At the Fondazione Bruno Kessler, she has been actively involved in applying AI to smart agriculture, addressing sustainability and innovation in the domain. Her previous roles, including as a Computer Vision Data Scientist and Data Science Moderator, further demonstrate her ability to bridge academia and industry.

๐ŸŽ“ย Education

Iustina Ivanova has an impressive academic background in computer science and AI. She completed her Master of Science in Artificial Intelligence with distinction at the University of Southampton, UK, in 2018. Before that, she earned a Specialist degree in Software Engineering from Bauman Moscow State Technical University, Russia, in 2013. In 2019, she pursued a PhD in Computer Science at the Free University of Bolzano, Italy, although she later decided to focus more on practical AI applications. Her academic journey includes notable achievements such as developing research in neural networks for object detection, which has been the cornerstone of her professional career in AI.

๐Ÿ’ผย ย Professional Experienceย 

Iustina Ivanova has a diverse and robust professional background in AI and computer vision. She currently works as a researcher at the Fondazione Bruno Kessler, Italy, specializing in the use of AI for smart agriculture. Prior to this, Iustina served as a Data Science Moderator at Netology, Russia, where she designed and delivered online courses in statistics and mathematics for data science students. She also worked as a Computer Vision Data Scientist at OCRV, Russia, where she helped develop a video-based tracking system for railway workers, focusing on object detection and worker time measurement. Iustina’s role as a teacher of informatics and mathematics at Repetitor.ru involved preparing high school students for their final exams, ensuring that many students successfully entered top universities. Throughout her career, she has collaborated on numerous innovative projects in AI, particularly in outdoor sports and smart agriculture.

๐Ÿ…Awards and Recognitionย 

Iustina Ivanovaโ€™s dedication and excellence in the field of AI have been recognized through multiple prestigious awards and accolades. Notably, she won several editions of the NOI Hackathon, including the SFSCON Edition (2021, 2022, 2024) and the Open Data Hub Edition (2022), showcasing her ability to create cutting-edge solutions in AI and data science. Her contributions to research and development in AI for sports activity analysis and computer vision have been published in highly regarded journals and conferences, such as the ACM Conference on Recommender Systems and IEEE Conferences. Iustina has also received recognition for her teaching contributions, inspiring future generations of data scientists. Her projects, especially those related to sports climbersโ€™ recommender systems and sensor data analysis, have received wide acclaim for their innovation and real-world impact.

๐ŸŒ Research Skills On Computer Science

Iustina Ivanovaโ€™s research expertise spans artificial intelligence, machine learning, computer vision, and recommender systems. She is particularly skilled in using AI techniques to solve complex problems in real-world applications. Her work with neural networks for object detection and sensor data analysis has led to significant advancements in both sports and smart agriculture sectors. Iustina is proficient in Python, OpenCV, machine learning frameworks like PyTorch and TensorFlow, and data analysis tools such as Jupyter Notebook and Git. She is well-versed in the development of recommender systems and has implemented innovative solutions for outdoor sports, including climbing crag recommendations. Her interdisciplinary approach combines knowledge from software engineering, data science, and AI to design systems that enhance user experience and improve decision-making. Iustina is committed to the continual development of her skills, evident in her participation in advanced data science and deep learning courses, as well as her extensive practical work in AI.

๐Ÿ“– Publication Top Notes

  • Climbing crags repetitive choices and recommendations
    • Author: Ivanova, I.
    • Citation: Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023
    • Year: 2023
    • Pages: 1158โ€“1164
  • How can we model climbers’ future visits from their past records?
    • Authors: Ivanova, I., Wald, M.
    • Citation: UMAP 2023 – Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
    • Year: 2023
    • Pages: 60โ€“65
  • Introducing Context in Climbing Crags Recommender System in Arco, Italy
    • Authors: Ivanova, I.A., Wald, M.
    • Citation: International Conference on Intelligent User Interfaces, Proceedings IUI
    • Year: 2023
    • Pages: 12โ€“15
  • Climbing crags recommender system in Arco, Italy: a comparative study
    • Authors: Ivanova, I., Wald, M.
    • Citation: Frontiers in Big Data
    • Year: 2023
    • Volume: 6, Article: 1214029
  • Map and Content-Based Climbing Recommender System
    • Authors: Ivanova, I.A., Buriro, A., Ricci, F.
    • Citation: UMAP2022 – Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
    • Year: 2022
    • Pages: 41โ€“45
  • Climbing Route Difficulty Grade Prediction and Explanation
    • Authors: Andric, M., Ivanova, I., Ricci, F.
    • Citation: ACM International Conference Proceeding Series
    • Year: 2021
    • Pages: 285โ€“292
  • Climber behavior modeling and recommendation
    • Author: Ivanova, I.
    • Citation: UMAP 2021 – Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization
    • Year: 2021
    • Pages: 298โ€“303
  • Knowledge-based recommendations for climbers
    • Authors: Ivanova, I., Andriฤ‡, M., Ricci, F.
    • Citation: CEUR Workshop Proceedings
    • Year: 2021
    • Volume: 2960
  • Climbing activity recognition and measurement with sensor data analysis
    • Authors: Ivanova, I., Andric, M., Janes, A., Ricci, F., Zini, F.
    • Citation: ICMI 2020 Companion – Companion Publication of the 2020 International Conference on Multimodal Interaction
    • Year: 2020
    • Pages: 245โ€“249
  • Video and Sensor-Based Rope Pulling Detection in Sport Climbing
    • Authors: Ivanova, I., Andriฤ‡, M., Moaveninejad, S., Janes, A., Ricci, F.
    • Citation: MMSports 2020 – Proceedings of the 3rd International Workshop on Multimedia Content Analysis in Sports
    • Year: 2020
    • Pages: 53โ€“60