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.

🎓 Education

Roseline’s academic journey began with a Bachelor’s degree in Management Information Systems from Covenant University, followed by a Master’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.

 💼 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.

🏅 Awards and Honors

Roseline’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.

🌍 Research Focus

Roseline’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.

 📖 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

Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

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Mr. Anthony Kyung Guzman Leguel | V2X Communication | Best Researcher Award

Mr. Anthony Kyung Guzman Leguel, PNU, Mexico

Anthony Kyung Guzmán Leguel, originally from Busan, Korea, is a passionate electrical engineer dedicated to advancing technology for sustainable solutions. With a stellar academic background, he earned his Bachelor’s degree from ITESO (2014-2019) and is currently a GKS Scholar pursuing a Master’s in Electrical Engineering at PNU (2021-2024). Throughout his journey, Anthony has balanced academics with extracurricular activities, including teaching high school students about electrical systems and practicing Soo Bahk Do for 25 years. He has been recognized for his contributions to the field, showcasing an impressive blend of technical expertise and commitment to community engagement.

Professional Profile

Orcid

Recommendation for Anthony Kyung Guzmán Leguel for the Best Researcher Award

Anthony Kyung Guzmán Leguel is an exceptional candidate for the Best Researcher Award due to his extensive academic achievements, innovative research contributions, and significant industry experience in electrical engineering. His current pursuit of a Master’s degree at Pusan National University (PNU) as a GKS Scholar underscores his commitment to academic excellence, evidenced by a remarkable GPA of 9.6/10 during his Bachelor’s studies at ITESO.

🎓  Education 

Anthony began his educational journey at ITESO, where he earned a Bachelor’s degree in Electrical Engineering, graduating with a commendable GPA of 9.6/10 (2014-2019). He then became a GKS Scholar, pursuing a Master’s in Electrical Engineering at PNU from 2021 to 2024. During his Master’s program, he has engaged in cutting-edge research, particularly in areas related to reinforcement learning and V2X communications. This academic path reflects his commitment to both theoretical understanding and practical application, positioning him as a forward-thinking engineer poised to contribute to renewable energy integration. Anthony’s bilingual skills in Spanish and English, along with his intermediate proficiency in Korean and French, further enhance his capacity for collaboration in diverse environments, emphasizing the global nature of modern engineering challenges.

💼  Experience 

Anthony’s professional experience includes significant roles at PNU’s Vialab, where he has worked on developing a V2X beaconing scheme using reinforcement learning. His contributions led to a notable reduction in computation time for CenterPoint 3D Object Detection, showcasing his ability to enhance technological efficiency. Before this, he interned and later became an engineer at Intel, contributing to the development of algorithms for multi-agent autonomous systems, thus significantly impacting the creation of intellectual property. His early career included a role at ITESO, where he reviewed embedded systems master thesis projects and taught high school students about electrical engineering applications. This blend of internships, academic projects, and teaching experiences has equipped Anthony with a robust skill set, allowing him to effectively navigate the challenges of modern electrical engineering and technology development.

🏅Awards and Honors 

Anthony’s dedication and achievements have garnered numerous accolades throughout his academic and extracurricular pursuits. Notably, he was inducted into the Tae Kwon Do Hall of Fame in 2013, reflecting his excellence in martial arts. As a member of the Mexican Technical Advisory Committee for Soo Bahk Do Moo Duk Kwan, he has demonstrated leadership and commitment to martial arts. His participation as a captain of ITESO University’s Tae Kwon Do team from 2017-2019 further showcases his ability to inspire and lead others. Additionally, Anthony’s work in electrical engineering has led to patents that contribute to advancements in autonomous systems and V2X communications. These accomplishments, alongside his role as a GKS Scholar, position him as a prominent figure in both sports and engineering, embodying a well-rounded individual dedicated to excellence in multiple arenas.

🌍 Research Focus 

Anthony’s research focus lies at the intersection of electrical engineering and innovative technology, particularly in the realm of renewable energy integration and autonomous systems. His current work at PNU’s Vialab involves utilizing reinforcement learning to enhance V2X communications, aiming to improve efficiency and reliability in connected vehicle networks. This work not only addresses the growing need for intelligent transportation systems but also aligns with global sustainability goals. Additionally, his research extends to 3D object detection, where he explores methods to reduce computational demands while maintaining accuracy, crucial for autonomous driving applications. By investigating decentralized trajectory planning and human-robot collaboration, Anthony aims to contribute to the development of smarter, more efficient systems that facilitate renewable energy solutions. His interdisciplinary approach, combining advanced algorithms with practical applications, positions him as a forward-thinking researcher poised to make significant impacts in the field of electrical engineering.

📖 Publication Top Notes

Enhancing the Minimum Awareness Failure Distance in V2X Communications: A Deep Reinforcement Learning Approach

Prof Dr. Ahmed Ghezal | Stochastic Volatility Modeling | Excellence in Research

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Prof Dr. Ahmed Ghezal | Stochastic Volatility Modeling | Excellence in Research

Prof Dr. Ahmed Ghezal, Department of Mathematics, Abdelhafid Boussouf University Center of Mila, Algeria

Ahmed Ghezal, born on September 21, 1987, in Ain M’lila, Algeria, is a Teaching Researcher holding a University Habilitation in Applied Statistics (May 2018) from USTHB and a Ph.D. in Mathematics specializing in Applied Statistics (May 2015) from UMC. He also earned a Master’s Degree in Mathematics in Probability and Statistics (January 2012) and a Bachelor’s Degree in Mathematics with a focus on Probability and Statistics (June 2009) from UMC. Ahmed has been an Associate Professor Class A at Abdelhafid Boussouf University Center-Mila since May 2018, focusing on studying the probabilistic and statistical properties of linear and nonlinear time series models. His research interests encompass causality and invertibility, autocorrelation structure, higher-order moments, estimation methods, and asymptotic properties of estimators in time series models. 📊

Professional Profile:

Google Scholar

🎓 Education:

Completed his University Habilitation in Applied Statistics from USTHB (May 2018), focusing on Markovian and periodic regime change time series models. Prior to this, he earned a Ph.D. in Mathematics with a specialization in Applied Statistics from UMC (May 2015), where his research delved into asymptotic statistics in Markov-switching bilinear regime change models. He also holds a Master’s Degree in Probability and Statistics (2012) and a Bachelor’s Degree in Mathematics from UMC.

👨‍🏫 Professional Experience:

Currently serving as Associate Professor Class A at Abdelhafid Boussouf University Center-Mila since 2018, and previously as Associate Professor Class B from 2015. He started his academic career as an Assistant Professor at the same university in 2012. Ahmed’s secondary education took place at Chihani Bachir High School in Teleghma, Mila.

📚 Teaching:

Ahmed has taught a variety of courses including Introduction to Random Processes, Ordinary Differential Equations, Inferential Statistics, Analytical Mathematics, Descriptive Statistics, and Complex Analysis.

🔍 Research Area:

His research focuses on the probabilistic and statistical properties of linear and nonlinear time series models. He explores topics such as causality and invertibility, autocorrelation structure, higher-order moments, estimation methods, and asymptotic properties of estimators.

Publication Top Notes:

 

Mr. Saed Turq | Integral Transforms | Best Researcher Award

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Mr. Saed Turq | Integral Transforms | Best Researcher Award

Mr. Saed Turq, Ministry of education, Palestine

Mr. Saed Turq is a dedicated scholar and educator with a robust background in Applied Mathematics 📚. His academic journey includes an MSc. in Applied Mathematics from Palestine Polytechnic University, where he specialized in homotopy type methods for non-linear differential equations. Known for his academic excellence, Mr. Turq’s thesis demonstrated advanced mathematical proficiency, earning him high accolades and a strong GPA. In addition to his scholarly pursuits, he serves as a High School Mathematics Teacher, fostering a passion for mathematics among students since 2017. With skills in SPSS, R, MATLAB, and more, he excels in data analysis and programming, underscoring his commitment to educational excellence and technical prowess.

🌐 Professional Profile:

Google Scholar

Scopus

📚 Education:

Mr. Saed Turq is a dedicated scholar with a strong academic background in Applied Mathematics. He completed his MSc. at Palestine Polytechnic University in Hebron, focusing on homotopy type methods for non-linear differential equations under the supervision of Dr. Ali Zain. His thesis showcased his proficiency in advanced mathematical techniques and earned him a GPA of 87. Previously, he excelled in his BSc. in Applied Mathematics at the same institution, graduating with an outstanding GPA of 87.9. Mr. Turq’s academic journey reflects his commitment to exploring complex mathematical models and their applications.

👨‍🏫 Work Experience:

Mr. Saed Turq is a dedicated educator with a passion for mathematics and teaching. Currently serving as a High School Mathematics Teacher with the Ministry of Education in Hebron since August 2017, he brings enthusiasm and expertise to the classroom. Previously, Mr. Turq has also contributed as a Teaching Assistant at Palestine Polytechnic University, where he supported students in their mathematical studies from January 2017 to January 2018. His commitment to educational excellence and his role in shaping young minds make him a valued member of the academic community in Hebron.

🔧 Skills:

Mr. Saed Turq is a skilled professional proficient in a diverse array of technical and analytical tools. Fluent in Arabic and proficient in English, he brings a strong language base to his work. His computer skills include mastery of SPSS, R, Minitab, C++, and Oracle Database, enabling him to handle complex data analysis and programming tasks with ease. Additionally, he is adept in LaTeX for document preparation, MATLAB for mathematical computing, and HTML for web development. With his comprehensive skill set, Mr. Turq combines analytical rigor with technical proficiency to excel in academic and professional environments alike.

Publication Top Notes:

 

 

 

 

Dr. Yunfei Chen | Multimedia Retrieval | Best Researcher Award

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Dr. Yunfei Chen | Multimedia Retrieval | Best Researcher Award 

Dr. Yunfei Chen, Central south university, China

Yunfei Chen is a passionate research scholar specializing in multimedia hashing retrieval. He received his B.S. degree in Software Engineering from Henan University and his M.S. degree in Software Engineering from Harbin Engineering University. Currently, he is pursuing a Ph.D. at the Big Data Institute, School of Computer Science and Engineering at Central South University in Changsha, China. His research primarily focuses on Cross-Modal Retrieval, Computer Vision, and Pattern Recognition.Yunfei’s academic journey is marked by notable achievements. He has published significant papers in prestigious journals and conferences, including “Supervised Semantic-Embedded Hashing for Multimedia Retrieval” in Knowledge-Based Systems, and “Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval” presented at the International Conference on Neural Information Processing.

 

🌐 Professional Profile:

SCOPUS

Education and Experience

🎓 Yunfei Chen holds a B.S. degree in Software Engineering from Henan University and an M.S. degree in Software Engineering from Harbin Engineering University. He is currently pursuing a Ph.D. at the Big Data Institute, School of Computer Science and Engineering, Central South University in Changsha, China. His research interests are Cross-Modal Retrieval, Computer Vision, and Pattern Recognition.

Academic Achievements

📚 Yunfei has made significant contributions to the fields of multimedia retrieval and semantic hashing. His noteworthy publications include:

  1. 📄 “Supervised Semantic-Embedded Hashing for Multimedia Retrieval.” Knowledge-Based Systems.
  2. 📄 “Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval.” International Conference on Neural Information Processing. Singapore: Springer Nature Singapore, 2023: 318-330.
  3. 📄 “S3ACH: Semi-Supervised Semantic Adaptive Cross-Modal Hashing.” International Conference on Neural Information Processing. Singapore: Springer Nature Singapore, 2023: 252-269.

Research, Innovations, and Extension

🔍 Research Projects: 1
📈 Journals Published in SCI/SCIE Index: 1
📖 Journals Published in Scopus/Web of Science/PubMed: 1
🔬 Areas of Research: Multimedia Hashing Retrieval
🔧 Patents Published and Under Process: 3
📝 Editorial Appointments in Journals/Conferences: 3

Contributions to Research & Development

🔬 Yunfei Chen has made substantial contributions to Research & Development, Innovations, and Extension Activities within his field. His work primarily focuses on Cross-Modal Retrieval, Computer Vision, and Pattern Recognition. Through his research, Yunfei has developed innovative methods and frameworks that enhance the efficiency and effectiveness of multimedia retrieval systems.

🌟 One of his notable contributions is the development of Supervised Semantic-Embedded Hashing for Multimedia Retrieval, which has been recognized in the Knowledge-Based Systems journal. This method integrates semantic information into the hashing process, improving retrieval accuracy and speed.

💡 Additionally, his work on Unsupervised Joint-Semantics Autoencoder Hashing, presented at the International Conference on Neural Information Processing, offers a novel approach to multimedia retrieval that does not require labeled data, making it highly adaptable and scalable.

Publication Top Notes:

Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval

S3ACH: Semi-Supervised Semantic Adaptive Cross-Modal Hashing

SPHASE: Multi-Modal and Multi-Branch Surgical Phase Segmentation Framework based on Temporal Convolutional Network

 

Assist Prof Dr. Rukaiya | MAC Protocol | Best Researcher Award

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Assist Prof Dr. Rukaiya | MAC Protocol | Best Researcher Award

Assist Prof Dr. Rukaiya, Sir Syed University of Engineering and Technology, Pakistan

🎓 Dr. Rukaiya holds a Ph.D. in Computer Engineering from the National University of Sciences & Technology (NUST), Islamabad, Pakistan, where she was awarded the HEC Indigenous Scholarship. Prior to her doctoral studies, she completed an M.S. in Computer Networks and earned her B.S. in Computer Engineering with distinction from Sir Syed University of Engineering and Technology (SSUET), Karachi, Pakistan. 💼 Dr. Rukaiya has held various teaching and research positions at SSUET, starting as a Junior Lecturer and progressing to her current role as Assistant Professor. Her research interests span a wide range of areas including MAC and Routing protocols, Wireless Ad hoc Networks, SDR-based Networks, and Cybersecurity. 🏅 She has made significant contributions to her field, serving as a Session Chair and Secretary at prestigious conferences, delivering talks at workshops and webinars, and acting as a reviewer for esteemed journals and conferences like IEEE Access and PLOS-One. Dr. Rukaiya is actively involved in organizing workshops and events related to research and technology and is affiliated with notable professional organizations including the Higher Education Commission (HEC) and the Pakistan Engineering Council (PEC). 📚

🌐 Professional Profile:

Linkedin

Orcid

🎓 Education:

  • Ph.D. in Computer Engineering, National University of Sciences & Technology (NUST), Islamabad, Pakistan, 2017-2022 (HEC Indigenous Scholarship).
  • M.S. in Computer Networks, Sir Syed University of Engineering and Technology (SSUET), Karachi, Pakistan, 2012-2015.
  • B.S. in Computer Engineering (Gold Medallist), SSUET, Karachi, Pakistan, 2007-2011.

💼 Employment History – Teaching and Research:

  • Assistant Professor at SSUET, Karachi (March 2023 – Present).
  • Lecturer at SSUET, Karachi (Feb 2016 – March 2023).
  • Team Lead, Manager Industrial Linkages, Research Associate at SSUET, Karachi.
  • Junior Lecturer at SSUET, Karachi (Aug 2011 – Jan 2016).

🔬 Research Interests:

MAC and Routing protocols, Wireless Ad hoc Networks, SDR-based Networks, Cybersecurity, and more.

🏅 Contribution & Recognition:

  • Session Chair at IEEC’23.
  • Session Secretary at IMTIC’23.
  • Session Speaker/Trainer at various workshops and webinars.
  • Reviewer for IEEE Access, PLOS-One, and other conferences.
  • Organizer of workshops and events related to research and technology.

📚 Professional Affiliations:

  • Higher Education Commission (HEC), Pakistan.
  • Pakistan Engineering Council (PEC).
  • Institute of Electrical & Electronics Engineers Pakistan.

Publication Top Notes:

  • A Sequence Mining-Based Novel Architecture for Detecting Fraudulent Transactions in Healthcare Systems
    • Published in IEEE Access.
    • Year: 2022
  • CFFD-MAC: A Hybrid MAC for Collision Free Full-Duplex Communication in Wireless Ad-Hoc Networks
    • Published in IEEE Access.
    • Year: 2021
  • Need-Based and Optimized Health Insurance Package Using Clustering Algorithm
    • Published in Applied Sciences.
    • Year: 2021
  • Self-Forming Multiple Sub-Nets Based Protocol for Tactical Networks Consisting of SDRs
    • Published in IEEE Access.
    • Year: 2020