Senior Architect/ Quantum Ambassador, IBM Australia; Victoria University, Australia.
Raihan ur Rasool is a seasoned technology leader, currently serving as a Senior Solution Architect and Quantum Ambassador at IBM Australia, while also contributing academically as a Ph.D. supervisor and Advisory Board Member at Victoria University, Melbourne. With over 20 years of combined experience in academia and industry, he has established himself as a notable expert in hybrid cloud computing, distributed systems, and quantum technologies. His impactful innovations in cloud scheduling, big data analytics, and energy-efficient VM distribution have been widely acknowledged and cited across research communities. 🧠💻🌐
Publication Profile
📘 Education Background
Raihan ur Rasool holds advanced degrees in Computer Science and Engineering, reflecting a strong academic foundation that supports his expertise in distributed computing and secure network systems. His academic training paved the way for his early involvement in both innovative research projects and cutting-edge industrial applications. 🎓📚
💼 Professional Experience
Professionally, Raihan has held several prominent positions in tech innovation. At IBM, he plays a critical role as a Quantum Ambassador, leading research and outreach in quantum computing technologies. His affiliation with Victoria University allows him to mentor Ph.D. students and contribute to strategic academic decisions. His collaborations with renowned scholars like Ian Foster and Andrew Chien from the University of Chicago, and Hua Wang from Victoria University, speak to his influential standing in the global research landscape. 🏢🔬🌍
🏆 Awards and Honors
His scholarly impact is underscored by an h-index of 21, and a publication record of over 80 papers, with around 50 published in reputed journals including IEEE, Elsevier, and Springer. His contributions have earned industry and academic recognition, and he is also a published author (ISBN: 1466697679). 📖🥇
🔬 Research Focus
Raihan’s research spans across distributed systems, network security, big data analytics, IoT, quantum computing, and software-defined networking. His work is known for its practical implications in disaster management, healthcare systems, and cloud infrastructure, often integrating AI and machine learning techniques for optimized system performance. 🔐📊☁️
✅ Conclusion
Raihan ur Rasool is a distinguished researcher and technology innovator whose work bridges the gap between academic theory and industrial application. His leadership in emerging areas like quantum computing and 6G-enabled healthcare analytics positions him as a top contender for recognition in international research awards. 🌟🚀🧬
📚 Top Publications with Notes
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Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review
Cited by: 15+
An in-depth review of futuristic healthcare systems combining 6G, XR, and IoT analytics.
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Quantum Computing for Healthcare: A Review
Cited by: 20+
Explores the potential of quantum technologies in transforming healthcare delivery and diagnostics.
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A multi-objective grey-wolf optimization based approach for scheduling on cloud platforms
Cited by: 5+
Proposes a novel cloud scheduler improving resource allocation using grey-wolf optimization.
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A Hybrid Machine Learning Model for Efficient XML Parsing
Cited by: 3+
Introduces a hybrid ML model for faster and more efficient XML parsing in data-heavy applications.
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CyberPulse++: A machine learning‐based security framework for detecting link flooding attacks in software defined networks
Cited by: 30+
Presents a robust cybersecurity framework for SDNs using ML-driven detection.
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Big data analytics enhanced healthcare systems: a review
Cited by: 100+
Highly cited work evaluating big data’s role in healthcare innovations.
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Complementing IoT Services through Software Defined Networking and Edge Computing: A Comprehensive Survey
Cited by: 120+
Recognized for detailing SDN and edge computing synergies for IoT applications.
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Feature Selection Optimization in Software Product Lines
Cited by: 50+
Improves product line configuration through optimization-based feature selection.
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A survey of link flooding attacks in software defined network ecosystems
Cited by: 80+
An authoritative survey of LFA threats and countermeasures in SDN environments.
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Cyberpulse: A Machine Learning Based Link Flooding Attack Mitigation System for Software Defined Networks
Cited by: 60+
ML-based real-time solution for detecting and mitigating LFA in SDN systems.