Mohammed M Alenazi | Computer Science and Artificial Intelligence | Best Researcher Award

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Dr. Mohammed M Alenazi | Computer Science and Artificial Intelligence | Best Researcher Award

Assistance Professor | University of Tabuk | Saudi Arabia

Dr. Mohammed M. Alenazi is an accomplished researcher and academic specializing in Artificial Intelligence, Machine Learning, and Energy Optimization in IoT Networks. He holds a PhD in Electrical and Electronics Engineering from the University of Leeds, a Master of Engineering in Computer Engineering from the Florida Institute of Technology, a Bachelor of Engineering in Computer Engineering from Prince Fahd Bin Sultan University, and an Associate Degree in Electrical/Electronics Equipment Installation and Repair from Tabuk College of Technology. He began his professional career as a Senior Engineer at Saudi Telecom Company, gaining extensive experience in optical fiber networks and large-scale communication systems, and later transitioned into academia as a Teaching Assistant at Northern Border University and the University of Tabuk, where he currently serves as an Assistant Professor. His research interests focus on energy-efficient deployment of ML-based services in IoT networks, neural network embedding in passive optical networks, and AI-driven intelligent systems, including a patented vehicle safety communication system. Dr. Alenazi has published in reputed journals and conferences including IEEE Xplore and ResearchGate and actively participates in professional organizations such as IEEE, AAAI, AISB, the Saudi Council of Engineers, and the Project Management Institute, holding certifications including CCNA, CompTIA Security+, and PMP. He has received awards and honors for his contributions to AI and networking research, and his skills include machine learning, energy optimization, teaching, and project management. His research has received 28 citations across 8 documents, with an h-index of 3, reflecting his growing academic impact and influence in the field.

Profiles : ORCID | Scopus | Google Scholar | ResearchGate

Featured Publications

1. Alenazi, M. M., Yosuf, B. A., El-Gorashi, T., & Elmirghani, J. M. H. (2020). Energy efficient neural network embedding in IoT over passive optical networks.

2.Yosuf, B. A., Mohamed, S. H., Alenazi, M. M., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2021). Energy-efficient AI over a virtualized cloud fog network.

3.Alenazi, M. M., Yosuf, B. A., Mohamed, S. H., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2021). Energy-efficient distributed machine learning in cloud fog networks.

4.Banga, A. S., Alenazi, M. M., Innab, N., Alohali, M., Alhomayani, F. M., Algarni, M. H., et al. (2024). Remote cardiac system monitoring using 6G-IoT communication and deep learning.

5.Alenazi, M. M., Yosuf, B. A., Mohamed, S. H., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2022). Energy efficient placement of ML-based services in IoT networks.

Amanpreet Kaur | Blockchain and Deep Learning | Best Researcher Award

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Dr. Amanpreet Kaur | Blockchain and Deep Learning | Best Researcher Award

Professor | Chitkara University | India

Dr. Amanpreet Kaur is an accomplished researcher in computer science with expertise in artificial intelligence, blockchain, IoT, big data analytics, and machine learning. She earned her PhD in computer science from Jaipur National University after completing advanced degrees including M.Tech, M.Sc. in computer science, B.C.A., and a diploma in computer engineering. Her professional journey includes teaching, mentoring, and supervising M.Tech and Ph.D. scholars in cutting-edge research projects such as deep learning for healthcare, blockchain-based security frameworks, and network optimization. She has authored 64 publications in reputed IEEE and Scopus indexed journals and conferences, showcasing her consistent contributions to the academic community. Her research interests lie in deep learning, data security, smart networks, and sustainable computing technologies. She has been an active member of several professional organizations including IRED, IAENG, SDIWC, and CSTA, and holds multiple certifications such as MCP, Java, Python, and Software Testing, which strengthen her applied research profile. Her work reflects a strong blend of academic scholarship, technical expertise, and leadership, enabling her to play a key role in advancing research and guiding future professionals. She is recognized for her dedication to fostering innovation and contributing to the growth of the computer science domain. Her research impact is demonstrated by 722 citations across 57 documents with an h-index of 9.

Profiles : ORCID | Scopus | Google Scholar

Featured Publications

1.Amanpreet Kaur, S. S., Singh, G., Kukreja, V., Yoon, B., & Sharma, S. (n.d.). Adaptation of IoT with blockchain in food supply chain management: An analysis-based review in development, benefits and potential applications. Sensors, 22(21).

2.Kukreja, V. S., Sharma, R., Kaur, A., & Sachdeva, R. K. (n.d.). Deep neural network for multi-classification of parsley leaf spot disease detection. In Proceedings of the 2nd International Conference on Advance Computing and Innovative Technologies.

3.Kaur, A., Dhaka, V. S., & Singh, G. (n.d.). ACO agent-based routing in AOMDV environment. MATEC Web of Conferences, 57, 02005.

4.Bathla, N., Kaur, A., & Singh, G. (n.d.). Relative inspection of TCP variants Reno, New Reno, SACK, Vegas i8285n AODV. International Journal of Research in Engineering and Applied Sciences, 4.

5.Bathla, N., Kaur, A., & Singh, G. (n.d.). Congestion control techniques in TCP: A critique. In Proceedings of the 3rd National Conference of Advances and Research in Engineering.

Alexios Kaponis | Computer Science | Excellence in Research

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Mr. Alexios Kaponis | Computer Science | Excellence in Research

PhD Candidate,Ionian University , Greece

Alexios Kaponis is a promising researcher with a robust portfolio of work in AI and digital marketing, focused on both technical innovation and ethical implications. His research output, coupled with hands-on project experience and a solid educational foundation, positions him as a dedicated and impactful researcher. He continues to develop expertise that addresses both theoretical and applied challenges in computer science.

Professional Profile

🎓 Educational Background

Alexios Kaponis was born in Patras on August 6, 1987. He earned his diploma in Cultural Management from the Department of Management of Cultural Environment and New Technologies at the University of Ioannina in 2009. Later, he obtained a master’s degree in Technologies and Management from the Department of Information and Communication Systems Engineering at the University of the Aegean in 2017. Currently, Alexios is pursuing a doctoral degree in Computer Science at the University of the Ionian Islands. His PhD research focuses on “Data analysis in digital marketing using machine learning and artificial intelligence techniques, business analysis, practices, and ethical dimensions in e-commerce.”

🧑‍🏫 Professional Experience

Alexios currently works as an Intelligent Software Solutions expert at the National Research Centre for Physical Sciences (NCRS) “Demokritos.” Since April 2024, he has been involved in the WP2 Data Inspection and Generation and WP5 Trustworthy Efficiency & Performance Assessment Framework projects, focusing on advanced machine learning and AI tools to improve risk prediction and fraud detection. His responsibilities include proposing new intelligence tool developments, conducting data analysis, and leveraging big data and cloud-based technologies.

🔬 Research Focus

Alexios’s research primarily centers on the application of machine learning and AI techniques in digital marketing, with a strong emphasis on ethical and legal dimensions in e-commerce. He investigates the use of natural language processing and large-scale data mining for business intelligence and enhanced customer engagement. His ongoing doctoral work explores innovative data analysis methodologies to support decision-making in marketing strategies. Furthermore, he contributes to projects aiming to improve AI reliability and trustworthiness in practical applications, such as fraud detection and chatbot development.

🛠️ Skills and Expertise

Alexios possesses strong expertise in big data, data analytics, artificial intelligence, data management, and cloud computing technologies. He has hands-on experience with machine learning, natural language processing, semantic web technologies, and digital marketing analytics. Additionally, Alexios is proficient in web development tools such as Joomla and WordPress and skilled in Google Analytics. He is fluent in Greek and highly proficient in English, complemented by a computer diploma certified by the University of Ioannina.

🏅 Awards & Honours

Alexios was distinguished by the General Secretariat for Lifelong Learning for his successful completion of a 25-hour seminar dedicated to training teachers in vocational adult education. His active participation as an examiner in national qualification certification examinations highlights his commitment to professional excellence in IT education. He has also presented and published multiple papers at prestigious international conferences, reflecting recognition of his research contributions in artificial intelligence, digital marketing, and assistive technologies.

Publication Top Notes

  1. Assist of AI in a Smart Learning Environment

    • Authors: K.C. Sofianos, Michalis Stefanidakis, Alexios Kaponis, Linas Bukauskas

    • Year: 2024

    • Citation count: 1

  2. Data Analysis in Digital Marketing using Machine Learning and Artificial Intelligence Techniques, Ethical and Legal Dimensions, State of the Art

    • Author: Alexios Kaponis, M. Maragoudakis

    • Year: 2022

    • Citation count: (Not provided, please add if known)

  3. Case Study Analysis of Medical and Pharmaceutical Chatbots in Digital Marketing and Proposal to Create a Reliable Chatbot with Summary Extraction Based on Users’ Keywords

    • Authors: Alexios S. Kaponis, Alexios A. Kaponis, Manolis Maragoudakis

    • Year: 2023

    • Citation count: (Not provided)

  4. Enhancing Disease Diagnosis: A CNN-Based Approach for Automated White Blood Cell Classification

    • Authors: Athanasios Kanavos, Orestis Papadimitriou, Alexios Kaponis, Manolis Maragoudakis

    • Year: 2023

    • Citation count: (Not provided)

Conclusion

Given his achievements and ongoing contributions, Alexios Kaponis is a fitting candidate for the Excellence in Research Award. Recognizing his work would not only honor his past accomplishments but also encourage further advancements in AI-driven research that balances innovation with ethical responsibility. With continued focus on increasing research impact and leadership, Alexios is well poised for future excellence in his field.

Prof. Dr. Wei Fang | Analytics Award | Best Researcher Award

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Prof. Dr. Wei Fang | Analytics Award | Best Researcher Award

Prof. Dr. Wei Fang, Nanjing University of Information Science & Technology, China

Prof. Dr. Wei Fang is a Professor in the Department of Computer Science at Nanjing University of Information Science & Technology, China, and a member of the State Key Laboratory for Novel Software Technology, Nanjing University. He holds a Ph.D. and M.Sc. in Computer Science from Soochow University. Wei was a visiting scholar at the University of Florida in 2015-2016. His research interests include Artificial Intelligence, Big Data, Data Mining, and Meteorological Information Processing. He has led several research projects funded by the National Natural Science Foundation of China and is an active reviewer for international journals. Wei is a senior member of the CCF and ACM.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award – Prof. Wei Fang

Prof. Wei Fang of Nanjing University of Information Science & Technology stands out as a highly meritorious candidate for the Best Researcher Award. With a solid academic foundation, national and international research exposure, and extensive contributions in Artificial Intelligence, Big Data, Computer Vision, and Applied Meteorology, his work bridges theoretical innovation with real-world application.

🎓 Education

  • Ph.D. in Computer Science – Soochow University, China

  • M.Sc. in Computer Science – Soochow University, China

📚 Visiting Scholar – University of Florida, USA (Faculty of Computer Science, Sept 2015 – Sept 2016)

💼 Work Experience

  • 👨‍🏫 Professor, Department of Computer Science, NUIST

  • 🧪 Affiliated with the State Key Lab for Novel Software Technology, Nanjing University

  • 🤝 Program Committee Member for multiple international conferences

  • 📝 Reviewer for various international journals

  • 🌍 International Research Scientist

🏆 Achievements & Honors

  • 🧠 Recognized for impactful research in:

    • Artificial Intelligence 🤖

    • Big Data & Cloud Computing ☁️📊

    • Computer Vision 👁️

    • Applied Meteorology 🌦️

  • 🔬 Project Leader of national and industrial research projects funded by:

    • National Natural Science Foundation of China

    • Guodian Nari Nanjing Control System Co., Ltd.

    • Baoshan Iron and Steel Co., Ltd.

  • 🎖️ Senior Member of CCF (China Computer Federation) & ACM

  • 📈 Cited in SCI-indexed journals

Publication Top Notes:

A rapid learning algorithm for vehicle classification

CITED: 562

A Method for Improving CNN-Based Image Recognition Using DCGAN.

CITED: 230

Efficient feature selection and classification for vehicle detection

CITED: 220

A survey of big data security and privacy preserving

CITED: 117

Survey on research of RNN-based spatio-temporal sequence prediction algorithms

CITED: 100