Anjan Kumar reddy Ayyadapu | Computer science | Excellence in Research Award

Mr. Anjan Kumar Reddy Ayyadapu | Computer science | Excellence in Research Award

Cloudera | United States

Anjan Kumar Reddy Ayyadapu is a seasoned Cloud Solution Architect specializing in big data, artificial intelligence, and cybersecurity. Currently working at Cloudera, Inc., he brings extensive expertise in Hadoop ecosystems, machine learning, and secure cloud infrastructure. His professional journey includes roles at Amazon Web Services, IBM, and Wipro, where he contributed to enterprise-scale solutions and cloud innovation. He holds a Master’s degree in Electrical Engineering and a Bachelor’s degree in Electronics and Communication Engineering. An active researcher, he has published multiple articles and holds a patent focused on AI-driven cloud security. His work emphasizes integrating machine learning with cryptographic techniques to enhance data protection and optimize incident response in modern cloud environments.

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Featured Publications


Fuzzy Logic and Machine Learning Hybrid Model for Influencing Consumer Purchasing Behavior in E-Commerce


– International Conference on Computing Technologies & Data Communication

AVE Trends in Intelligent Computer Letters


– Research Contribution

Scalable Machine Learning Approaches for Real-Time Big Data Processing in IoT Networks


– AVE Trends in Intelligent Computing Systems

A Hybrid Machine Learning Model for Predictive Analytics in Big Data Frameworks


– AVE Trends in Intelligent Computing Systems

Deep Learning Models for Predictive Maintenance in Industrial IoT with Big Data Support


– FMDB Transactions on Sustainable Intelligent Networks

Fekadu Tesfaye | Remote sensing | Best Researcher Award

Assist. Prof. Dr. Fekadu Tesfaye | Remote sensing | Best Researcher Award

Injibara University | Ethiopia

Fekadu Temesgen Tesfaye is an Ethiopian academic specializing in Geography, GIS, and Remote Sensing. He holds a Diploma in Geography from Gondar Teachers Education College, a B.Ed. in Geography from Bahir Dar University, and an MSc in GIS and Remote Sensing from Mekelle University. His research focuses on forest management, land-use change, and environmental monitoring, including mapping forest age and species dynamics in the Yeraba plantation forest of northwest Ethiopia using hyperspectral signatures and spectral angle mapper. He has also contributed to studies on soil erosion and conservation prioritization in the Ayu watershed of the Abay basin, Ethiopia. Fekadu has an h-index of 1, with 1 document and 1 citation, reflecting the early impact of his scholarly work. His academic experience spans teaching at primary, junior, senior secondary, and preparatory schools, as well as brief positions at Debre Markos and Finotselam Teachers Colleges. He is proficient in Amharic and English and has actively supported students in map reading and addressed the shortage of teaching aids in geography. Beyond academics, Fekadu enjoys playing football, visiting wildlife, and reading books. His research and teaching demonstrate a commitment to advancing geographic education and environmental understanding in Ethiopia.

Profile: Google Scholar

Featured Publications

Temesgen, F., & Terefe, B. (2024). Utilizing multi-criteria decision-making analysis and 3D visualization techniques for dam site selection and irrigation area identification in Gedeb River, Ethiopia. Heliyon, 10(15).

Terefe, B., Melese, T., Temesgen, F., Anagaw, A., Afework, A., & Mitikie, G. (2024). Comparative analysis of RUSLE and SWPT for sub-watershed conservation prioritization in the Ayu watershed, Abay basin, Ethiopia. Heliyon, 10(15).

Terefe, B. (2024). Review of soil loss estimation in Ethiopia: Evaluating the use of the RUSLE model integrated with GIS and remote sensing techniques. Heliyon, 10(15).

Kassaye, M., Tamer, M., Temesgen, F., Derebe, B., & Derebe, Y. (2023). Effects of environmental changes on vegetation and soil characteristics at Lewi Afromontane forest and wetland in northwestern Ethiopia. Environmental Monitoring and Assessment, 195(12), 1514.

Tesfaye, F. T. (2021). Analysis of carbon stock potential for Gojjamdur community forest, northwest Ethiopia. PalArch’s Journal of Archaeology of Egypt/Egyptology, 18(1).

Ghulam Mohi-ud-din | Computer Science | Excellence in Innovation Award

Prof. Ghulam Mohi-ud-din | Computer Science | Excellence in Innovation Award

Prof. Ghulam Mohi-ud-din, Nanchang University, China.

Prof. Ghulam Mohi-ud-din is an experienced Product Coordinator 🧠 with 7+ years of expertise in software engineering, research, and IT strategy 💡. He excels in risk mitigation, quality assurance, and infrastructure development 🛠️. Currently pursuing a PhD in Software Engineering, Ghulam has also worked with top firms like IBM and Oracle 🌐. A certified PMP, CCIE, and OCP 🎓, he is passionate about driving innovation, leading cross-functional teams, and delivering impactful tech solutions 🚀.

🎓 Early Academic Pursuits

Ghulam Mohi-ud-din began his academic journey with a Bachelor’s degree in Software Engineering from the University of Engineering and Technology, Lahore, graduating with an impressive GPA of 3.6. He further honed his technical skills through a Master of Science in Computer Systems Networking and Telecommunications at the University of Florida, maintaining a strong GPA of 3.85. Currently pursuing a PhD in Software Engineering at Northwestern Polytechnical University, Xi’an, Ghulam’s commitment to lifelong learning sets a solid foundation for his professional achievements. 📘💻

💼 Professional Endeavors

With over 17 years of extensive experience, Ghulam has held pivotal roles across multiple continents. His current position as a Product Coordinator at ResearchEX Ltd, London, involves project leadership, strategic implementation, and cross-functional team management. Past roles include Project Consultant at IBM, Visiting Faculty at LUMS, Assistant DBA at Oracle, and Network Administrator at OGDCL, each enriching his skill set in IT infrastructure, data management, teaching, and network security. 🌍📊

🔬 Contributions and Research Focus On Computer Science  

Ghulam’s research spans across software engineering, machine learning, and infrastructure development. His time as a faculty member at LUMS saw him guiding students in computer science research, securing funding, and authoring significant research publications. His doctoral research aligns with modern software methodologies, ensuring real-world applicability and innovation. 🧠📈

🌍 Impact and Influence

From enhancing cloud infrastructure at Oracle to leading agile methodologies in the UK tech sector, Ghulam’s influence extends to policy development, training programs for thousands of employees, and optimizing technical workflows that reduce costs and increase operational performance. His leadership style promotes team unity, performance recognition, and long-term organizational success. 💡🤝

🏆 Awards and Honors

Ghulam holds a rich collection of certifications from globally recognized institutions including Cisco (CCNA, CCNP, CCIE), Oracle (OCA, OCP, OCE), Red Hat (RHCE, RHCT), and Project Management Professional (PMP). These validate his authority in system architecture, project management, and enterprise-level IT strategy. 🎖️📜

🚀 Legacy and Future Contributions

Poised at the intersection of academia and industry, Ghulam’s future goals involve leading transformational IT initiatives, mentoring the next generation of technologists, and contributing groundbreaking research in AI and software systems. His vision includes bridging academic theory with business innovation, leaving a legacy of empowered teams and streamlined technology infrastructures. 🌐🚀

📚Publications Top Notes

  • Click-level supervision for online action detection extended from SCOAD

    • Journal: Future Generation Computer Systems

    • Year: 2025

  • Deciphering TON-IoT threats: Meta-heuristic and deep learning for attack classification

    • Journal: Expert Systems with Applications

    • Year: 2025

  • A wireless sensor network for coal mine safety powered by modified localization algorithm

    • Authors: H.Z. ul Hassan, A. Wang, G. Mohi-ud-din

    • Journal: Heliyon

    • Year: 2025

  • ML-Driven Audit Risk Assessment with Differential Privacy

    • Authors: Dr. Ghulam Mohi-ud-din

    • Conference: 2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI)

    • Year: 2024

  • Unmanned aerial vehicle intrusion detection: Deep-meta-heuristic system

    • Authors: Shangting Miao, Quan Pan, Dongxiao Zheng, Ghulam Mohi-ud-din

    • Journal: Vehicular Communications

    • Year: 20

  • Real-time portrait image retouching extended from DualBLN

    • Journal: Expert Systems with Applications

    • Year: 2024

  • Intrusion Detection Using Hybrid Enhanced CSA-PSO and Multivariate WLS Random-Forest Technique

    • Journal: IEEE Transactions on Network and Service Management
    • Year: 2023​

  • Intrusion Detection using hybridized Meta-heuristic techniques with Weighted XGBoost Classifier

    • Authors: Ghulam Mohi-ud-din, Zhijun Lin, Jiangbin Zheng, Junsheng Wu, Weigang Li, Yifan Fang, Sifei Wang, Jiajun Chen, Xinyu Zeng

    • Journal: Expert Systems with Applications

    • Year: 2023

  • Intrusion detection in wireless sensor network using enhanced empirical based component analysis

    • Authors: Liu Zhiqiang, Ghulam Mohi-ud-din, Jiangbin Zheng, Sifei Wang, Asim Muhammad

    • Journal: Future Generation Computer Systems

    • Year: 2022