Dr. Junaid Akram | Environmental Data Analysis | Young Scientist Award

The University of Sydney | Australia

PUBLICATION PROFILE

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🎓 EARLY ACADEMIC PURSUITS

Dr. Junaid Akram’s academic path reflects a strong commitment to excellence and innovation from the very beginning. He earned his BS in Computer Science from COMSATS University Islamabad, followed by an outstanding MS in Computational Science and Engineering at NUST, securing a remarkable CGPA of 3.95/4.00. His passion for advanced computing and real-world problem solving led him to pursue a Ph.D. in Computer Science at the prestigious University of Sydney, ranked 18 globally by QS. His doctoral research focused on enhancing trust and security in crowdsourced drone services, laying the groundwork for future advancements in decentralized technologies.

đź’Ľ PROFESSIONAL ENDEAVORS

Professionally, Dr. Akram has built a versatile and impactful career as an academic and data science expert. He has held lecturer roles at top institutions including the University of Sydney, UTS, Australian Catholic University, Victorian Institute of Technology, and Kaplan Business School, where he taught cybersecurity, AI, data science, and digital forensics. Simultaneously, he worked as a Data Manager at Westmead Hospital under NSW Health, overseeing clinical data systems and contributing to high-impact healthcare research. His unique blend of academic teaching and applied data expertise showcases his ability to thrive at the intersection of theory and practice.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Akram’s research contributions span several critical domains. His Ph.D. thesis introduced cutting-edge solutions like D2XChain for decentralized public key infrastructure, DDRM for review reliability, and UAVGuard for adversarial defense in drones. Beyond drone services, he supervised impactful projects such as VQA systems for dermatology and medical imaging, as well as early detection frameworks for diabetes using ensemble learning. His work also extends to AI-driven job placement optimization using models like BERT and DeBERTa. His projects reflect a multidisciplinary approach aimed at solving real-world problems through intelligent, scalable systems.

đź“Š IMPACT AND INFLUENCE

Throughout his career, Dr. Akram has demonstrated a commitment to creating meaningful impact through teaching, research, and service. At Westmead Hospital, his data systems improved the quality of clinical care and enabled robust medical research. In academia, he mentored numerous postgraduate projects and contributed to curriculum development across multiple universities. His ability to connect students with real-world industry needs and guide them in publication-worthy research positions him as a mentor who bridges academia and industry with finesse.

đź“š ACADEMIC CITES

Dr. Akram’s research has been recognized through peer-reviewed publications in the international Sensors journal. Notable articles include “Using Adaptive Sensors for Optimised Target Coverage in Wireless Sensor Networks” and “Automatic Target Detection from Satellite Imagery Using Machine Learning.” These contributions highlight his expertise in remote sensing, machine learning, and sensor networks, enhancing his credibility and scholarly recognition in technical domains.

🌍 LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Akram moves forward, he is poised to lead transformative research in decentralized systems, smart healthcare, and AI security. His goal is to continue shaping future-ready curricula, mentoring global talent, and pioneering interdisciplinary innovations. His dedication to knowledge sharing and community advancement will leave a lasting legacy not just as a researcher or lecturer, but as a visionary building bridges between emerging technologies and real-world solutions.

 📚 TOP NOTES PUBLICATIONS

Title: Secure and Interoperable IoMT-Based Smart Homes

    • Authors: Awais Akram, Junaid Akram, Abdulatif Alabdultif, Ali Anaissi, Rutvij H. Jhaveri

    • Journal: IEEE Consumer Electronics Magazine

    • Year: 2025

    • DOI: 10.1109/MCE.2025.3534442

Title: Dynamic GNN-based Multimodal Anomaly Detection for Spatial Crowdsourcing Drone Services

    • Authors: Junaid Akram, Walayat Hussain, Rutvij H. Jhaveri, Rajkumar Singh Rathore, Ali Anaissi

    • Journal: Digital Communications and Networks

    • Year: 2025 (April)

    • DOI: 10.1016/j.dcan.2025.03.012

Title: Adversarial Label-Flipping Attack and Defense for Anomaly Detection in Spatial Crowdsourcing UAV Services

    • Authors: Junaid Akram, Ali Anaissi, Awais Akram, Rajkumar Singh Rathore, Rutvij H. Jhaveri

    • Journal: IEEE Transactions on Consumer Electronics

    • Year: 2024

    • DOI: 10.1109/TCE.2024.3448541

Title: AI-Generated Content-as-a-Service in IoMT-Based Smart Homes: Personalizing Patient Care With Human Digital Twins

    • Authors: Junaid Akram, Misha Aamir, Roshani Raut, Ali Anaissi, Rutvij H. Jhaveri, Awais Akram

    • Journal: IEEE Transactions on Consumer Electronics

    • Year: 2024

    • DOI: 10.1109/TCE.2024.3409173

Title: Digital Twin-Driven Trust Management in Open RAN-Based Spatial Crowdsourcing Drone Services

    • Authors: Junaid Akram, Ali Anaissi, Rajkumar Singh Rathore, Rutvij H. Jhaveri, Awais Akram

    • Journal: IEEE Transactions on Green Communications and Networking

    • Year: 2024

    • DOI: 10.1109/TGCN.2024.3403901

Junaid Akram | Environmental Data Analysis | Young Scientist Award