Shahanawaj Ahamad
University of Ha'il, Prince Sattam Bin Abdulaziz University, King Saud University
Research areas: Computer Science · Information Systems · Internet of Things and AI · Network Security and Intrusion Detection · IoT and Edge/Fog Computing
0000-0002-7514-3757
About
Dr. Shahanawaj Ahamad is an active academician and researcher in the field of software engineering and computer science with 20 years of experience. He earned Ph.D. Computer Science degree specialized in Software Engineering; served several academic positions such as HoD, Dy. Director, Program Coordinator, Chair of research groups, college examination and academic scheduling and management in universities of India and Saudi Arabia. He is involved in academic development and scholarly activities. He is Fellow of British Computer Society U.K., Member of IEEE and ACM, Member of Institutions of Engineering and Technology U.K., Life Member of Computer Society of
India. His research interest includes Legacy Systems, Software Aging, Service-oriented Software Engineering and Migration; published more than 100 research articles with 4 books and 22 patents. He is contributing as member of editorial and reviewers boards in conferences and various computer journals published by Springer, IGI global, Inderscience and other universities.
Employment
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University of Ha'il Associate Professor2011 - Present
- 2010 - 2011
- 2008 - 2010
- 2006 - 2008
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (67)
- AI-Driven Smart Room Assistants: Enhancing Personalized Guest Experiences in Hospitality Save
- Deep Reinforcement Learning for Spectral Efficiency in Terahertz-Enabled 6G RANs Save
- The intersection of AI, blockchain, and social networks in urban crises management Save
- A Novel Hybrid Attention-Based RoBERTa-BiLSTM Model for Cyberbullying Detection Save
- Enhancement of satellite images based on CLAHE and augmented elk herd optimizer Save
- Enhancing Multi-Class Cyberbullying Classification with Hybrid Feature Extraction and Transformer-Based Models Save
- FOREWORD 1 Save
- Feasibility analysis and opposition white shark optimizer for optimizing modified EfficientNetV2 model for road crack classification Save
- Financial forecasting with convolutional neural networks (CNNs): Trends and challenges Save
- Next-Generation Connectivity: Exploring IoT and 5G Innovations for Enhanced Communication and Collaboration Through Machine Learning Integration Save
- Opposition-Based White Shark Optimizer for Optimizing Modified EfficientNetV2 in Road Crack Classification Save
- Securing Business Data in Multi-Cloud Environments Save
- Sustainable Automation Integrating Energy Efficiency and Smart Communication Technologies Save
- Virtual clinics and hospitals: transforming healthcare in the digital age Save
- Apollo hospital's proposed use of big data healthcare analytics Save
- Deep Reinforcement Learning for Autonomous Management of Big Data Infrastructures Save
- Enhancing Arabic Cyberbullying Detection with End-to-End Transformer Model Save
- Enhancing Predictive Accuracy for Recurrence-Free Survival in Head and Neck Tumor: A Comparative Study of Weighted Fusion Radiomic Analysis Save
- Explainable Machine Learning Models for Clinical Decision Support Systems Save
- Exploring machine learning models for biomedical signal processing: a comprehensive review Save