Dr. Roseline Ogundokun | Intrusion Detection System | Best Researcher Award

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Dr. Roseline Ogundokun | Intrusion Detection System | Best Researcher Award

Dr. Roseline Ogundokun, Landmark University Omu-Aran, Nigeria

Roseline Oluwaseun Ogundokun is a distinguished academic and researcher in computer science, born in Zaria, Nigeria. Currently serving as a lecturer and researcher at Landmark University, she specializes in machine learning, artificial intelligence, and computer vision. With a strong commitment to education and innovative research, Roseline has made significant contributions to advancing sustainable development goals through technology. She is also involved in mentoring students in STEM fields and has a passion for fostering future generations of scientists.

Professional Profile

Google Scholar

Researcher Suitability Summary for the Best Researcher Award: Roseline Oluwaseun Ogundokun

Based on her extensive research output, significant contributions to academia, and commitment to mentoring and inclusive practices, Dr. Roseline Oluwaseun Ogundokun is an exemplary candidate for the Best Researcher Award. Her work not only advances the field of Computer Science but also positively impacts society through innovative solutions. Recognizing her achievements with this award would honor her contributions and inspire further excellence in research and education.

šŸŽ“Ā Education

Roselineā€™s academic journey began with a Bachelorā€™s degree in Management Information Systems from Covenant University, followed by a Masterā€™s in Computer Science from the University of Ilorin. She is currently pursuing dual PhDs in Computer Science and Multimedia Engineering, expected to be completed in 2022 and 2025, respectively. Her diverse educational background has equipped her with a strong foundation in both theoretical and practical aspects of technology, enabling her to contribute effectively to her field.

Ā šŸ’¼ Experience

Roseline has extensive experience in academia, having worked at Landmark University since 2015 as a researcher, lecturer, and administrator. She has taught various courses, including Computer Programming and Software Engineering, while also supervising numerous undergraduate and postgraduate students in innovative research projects. Additionally, she has served as a visiting lecturer at Thomas Adewumi University and the Nigerian Army College of Education, contributing to the development of future tech leaders through her teaching and mentorship.

šŸ… Awards and Honors

Roselineā€™s commitment to research and education has earned her multiple accolades. She has been recognized for her contributions to machine learning and sustainable development, receiving awards from various educational institutions. Her research publications have garnered significant attention, leading to an impressive citation record, reflecting her influence in the academic community. She is also actively involved in mentorship programs, advocating for women’s participation in STEM fields.

šŸŒ Research Focus

Roselineā€™s research interests are centered on artificial intelligence, computer vision, and deep learning. She is particularly focused on employing machine learning models to solve real-world problems across various sectors, including healthcare and telecommunications. Her work aims to advance the integration of technology in achieving sustainable development goals, particularly those related to industry, innovation, and infrastructure.

Ā šŸ“– Publication Tob Notes

Predictive modelling of COVID-19 confirmed cases in Nigeria
Citation Count: 132
IoMT-based wearable body sensors network healthcare monitoring system
Citation Count: 99
Medical internet-of-things based breast cancer diagnosis using hyperparameter-optimized neural networks
Citation Count: 84
Application of big data with fintech in financial services
Citation Count: 78
An enhanced intrusion detection system using particle swarm optimization feature extraction technique
Citation Count: 62

Dr. Brijesh Kumar Chaurasia | Smart Technology Awards | Best Researcher Award

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Dr. Brijesh Kumar Chaurasia | Smart technology Awards | Best Researcher Award

Dr. Brijesh Kumar Chaurasia , Pranveer Singh Institute of Technology, Kanpur, India

Dr. Brijesh Kumar Chaurasia is a distinguished academic and researcher specializing in network security, with a primary focus on Vehicular Ad hoc Networks, Trust Management in VANETs, Blockchain, cloud authentication, and IoV/IoT. He earned his Ph.D. in Privacy Preservation in Vehicular Ad-hoc Networks from IIIT-Allahabad in 2013 and his M. Tech in Computer Science and Engineering from DAVV-Indore in 2006. With over 22 years of teaching experience and 4+ years in research and development, Dr. Chaurasia currently serves as a Professor and Dean of Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. He has previously taught at ITM Group in Gwalior and IIIT Lucknow. He has been a principal investigator on several research grants, supervised numerous Ph.D. and postgraduate theses, and holds patents in IoT and smart systems. Dr. Chaurasia is actively involved in professional activities as a Senior Member of IEEE, Fellow of IETE, and member of IE and CSI. He has contributed to international journals and participated in various FDPs and workshops, showcasing his commitment to advancing knowledge and innovation in his field.

Professional Profile:

Google Scholar

šŸŽ“ Education:

Dr. Brijesh Kumar Chaurasia earned his Ph.D. in Computer Science and Engineering from IIIT-Allahabad, India, with his thesis focusing on Privacy Preservation in Vehicular Ad-hoc Networks. This prestigious degree was awarded on April 12, 2013, marking a significant milestone in his academic journey. Prior to his doctoral studies, Dr. Chaurasia completed his Master of Technology in Computer Science and Engineering from DAVV-Indore, India, in 2006. These educational accomplishments laid a strong foundation for his subsequent research and professional endeavors in the field of network security and technology.

šŸ’¼ Employment and Experience:

Dr. Chaurasia has a combined experience of over 27 years in Research & Development, Teaching, and Industry. Currently, he serves as a Professor in Computer Science and Engineering & Dean Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. Previously, he held teaching positions at ITM Group, Gwalior, MP, India, and Indian Institute of Information Technology, Lucknow.

šŸ” Research Grants:

He has been involved in various research projects as Principal Investigator and Expert Member, securing grants for projects related to Hindi News portal development, IoT implementation and security, web redesigning, and Automatic Number Plate Recognition.

Publication Top Notes:

  1. Trust based location finding mechanism in VANET using DST
    • K Sharma, BK Chaurasia
    • 2015 Fifth International Conference on Communication Systems and Network, 2015
    • Cited by 66
  2. Message broadcast in VANETs using group signature
    • BK Chaurasia, S Verma, SM Bhasker
    • 2008 Fourth International Conference on Wireless Communication and Sensor Networks, 2008
    • Cited by 65
  3. Infrastructure based authentication in VANETs
    • BK Chaurasia, S Verma
    • International Journal of Multimedia and Ubiquitous Engineering, 2011
    • Cited by 54
  4. State of the art of data dissemination in VANETs
    • P Tomar, BK Chaurasia, GS Tomar
    • International Journal of Computer Theory and Engineering, 2010
    • Cited by 47
  5. Hiding sensitive association rules without altering the support of sensitive item(s)
    • D Jain, P Khatri, R Soni, BK Chaurasia
    • Advances in Computer Science and Information Technology. Networks and Communications, 2012
    • Cited by 43