Lubna Aziz | Data Science and Deep Learning | Best Researcher Award

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Assoc. Prof. Dr. Lubna Aziz | Data Science and Deep Learning | Best Researcher Award

Associate Professor at Iqra University Karachi | Pakistan

Assoc. Prof. Dr. Lubna Aziz is an accomplished AI and MLOps Engineer, Researcher, and Academic Leader with over fifteen years of multidisciplinary experience in artificial intelligence, machine learning, and higher education leadership, currently serving as Assistant Professor and Head of Artificial Intelligence at Iqra University, Karachi. She holds a PhD in Computer Science from Universiti Teknologi Malaysia and has earned dual Gold Medals in both her MS and BS in Computer Engineering from BUITEMS, reflecting her consistent record of academic excellence. Her professional expertise spans AI model development, scalable ML pipeline automation, MLOps deployment, Explainable AI, Computer Vision, and Generative AI, integrating research-driven innovation with real-world engineering impact. Dr. Aziz has designed and led AI curricula, supervised numerous student projects, and directed institutional initiatives aligned with HEC, NCEAC, and ABET accreditation standards. Her research advances Computer Vision, Large Language Models (LLMs), and Explainable AI (XAI) with applications across healthcare, finance, and creative AI, focusing on interpretable, multimodal, and human-centric intelligent systems. She has contributed to IEEE Access, Nature Scientific Reports, Springer, and MDPI journals, with publications exploring object detection, medical imaging, energy optimization, multimodal AI, and generative modeling. As an active reviewer for leading international journals and a keynote and technical chair for major AI and engineering conferences, she has significantly shaped discourse in emerging technologies. Her research projects include AI-driven healthcare diagnostics, cardiovascular risk modeling, and LLM intelligence benchmarking, funded by HEC, NIH, and the Royal Academy of Engineering UK. Known for her academic leadership, technical depth, and commitment to inclusive innovation, Lubna Aziz continues to bridge the gap between AI research and practical deployment, fostering the next generation of intelligent systems and ethical AI solutions.

Profile: Orcid 

Featured Publications:

Deebani, W., Aziz, L., Alawad, W. M., Alahmari, L. A., Al‐Ahmary, K. M., Alqurashi, Y., & Alwabel, A. S. A. (2025). Advancing electronic noses with transformers: Real‐time classification of hazardous odors and food freshness. Journal of Food Science.

Aziz, L., Adil, H., & Sarwar, R. (2025). Artificial sensing: AI-driven electronic nose for real-time gas leak detection and food spoilage monitoring. Sir Syed University Research Journal of Engineering & Technology.

Deebani, W., Aziz, L., Aziz, A., Basri, W. S., Alawad, W. M., & Althubiti, S. A. (2025). Synergistic transfer learning and adversarial networks for breast cancer diagnosis: Benign vs. invasive classification. Scientific Reports.

Aziz, L., Salam, M. S. B. H., Sheikh, U. U., Khan, S., Ayub, H., & Ayub, S. (2021). Multi-level refinement feature pyramid network for scale imbalance object detection. IEEE Access.

Arfeen, Z. A., Sheikh, U. U., Azam, M. K., Hassan, R., Shehzad, H. M. F., Ashraf, S., Abdullah, M. P., & Aziz, L. (2021). A comprehensive review of modern trends in optimization techniques applied to hybrid microgrid systems. Concurrency and Computation: Practice and Experience.

Aziz, L., Salam, M. S. B. H., Sheikh, U. U., & Ayub, S. (2020). Exploring deep learning-based architecture, strategies, applications and current trends in generic object detection: A comprehensive review. IEEE Access.

Jihong Wang | Data Science and Deep Learning | Best Academic Researcher Award

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Ms. Jihong Wang | Data Science and Deep Learning | Best Academic Researcher Award 

Ms. Jihong Wang, at The University of Hong Kong, China.

Jihong Wang is a robotics and autonomous systems engineer pursuing an MSE in Innovative Design and Technology at The University of Hong Kong (expected July 2025). With a robust foundation from a B. Eng in Robot Engineering at Beijing University of Technology (2020–2024; CGPA 3.49/4.0), Jihong combines theoretical excellence with real-world innovation. Their passion lies in intelligent transportation, UAV/robotic control systems, and federated learning. Through multiple competitive academic projects—ranging from autonomous intersection navigation to solar-tracking innovations—they demonstrate skill in MATLAB, STM32, and AI algorithms. Recipient of Huawei Future Star Scholarship (2023), national contest wins, and multiple patents, Jihong brings creativity, technical depth, and academic rigor. Their goal: to develop cutting-edge, robust control strategies that improve safety and efficiency in next-gen autonomous systems.

Professional Profile

Google Scholar

🎓 Education

Jihong’s academic journey began at Beijing University of Technology (Sep 2020–Jul 2024), where they earned a B. Eng in Robot Engineering with a CGPA of 3.49/4.0; a stellar junior-year CGPA of 3.85/4.0 reflected exceptional performance across modules. Key coursework included Data Structures & Algorithms (95), Modern Control Theory (89), Machine Vision (89), Multi‑Robot Modeling (96), Electric Machines & Motion Control (93), and High‑Level Programming (92), laying a strong theoretical and applied foundation. Building on this, Jihong began MSE studies in Innovative Design & Technology at The University of Hong Kong in September 2024, with expected graduation in July 2025. Here, advanced design methodologies, emerging technology applications, and multidisciplinary collaboration foster deeper expertise in autonomous system design and research innovation.

💼 Experience

Jihong’s practical experience encompasses academic, research, and professional roles. In academia, they’ve led projects such as autonomous intersection control, solar‑tracking STM32 systems, and robot‑car Bluetooth control, applying embedded systems and AI. Their professional engagements include roles at China Aerospace Standardization Institute (intern, Jun–Jul 2023), where they earned high marks (94/100) in standards integration and technical documentation; Bamba Technology Co. (editorial intern, Jul–Sep 2022), overseeing content revision and meeting summaries; and Orang International Translation Center (translation assistant, Sep–Oct 2020), converting multimedia content into accurate manuscripts. Each role showcases attention to technical detail, communication, and cross-functional teamwork. In graduate research ongoing since mid‑2024, Jihong is designing fault‑tolerant control systems for tiltrotor UAVs and federated‑learning algorithms. Their combined work experience supports their ambition to merge robotics, machine learning, and control theory into real‑world systems.

🔬 Research Interest

Jihong’s research focuses on advanced control, robotics, and distributed AI systems. Key interests include:

  • Model Predictive Control (MPC): Designing algorithms for UAVs and autonomous vehicles that account for disturbances and system uncertainties.

  • Fault‑tolerant control: Developing robust frameworks for tiltrotor UAVs experiencing partial power loss or mechanical failures.

  • Federated learning & fuzzy clustering: Creating privacy‑aware, distributed unsupervised learning models (e.g., ECM algorithm) for decentralized sensor networks.

  • Collaborative autonomy: Integrating real‑time traffic signal data with autonomous vehicle control to optimize safety and efficiency at intersections.

  • Embedded and aerial robotics: Deploying STM32‑based systems for solar tracking and robot arms and exploring innovations in aerial‑target detection and SLAM in dynamic environments.

Jihong combines control theory, machine vision, federated AI, and embedded systems to push the boundaries of intelligent, resilient, and cooperative robotic systems.

🏅 Awards

Jihong’s achievements include:

  • Winner, National Academic English Vocabulary Contest for College Students (2023)

  • Huawei Future Star Scholarship (2023)

  • Four utility‑model patents & two software copyrights (2022–2023)

  • School‑level Innovation & Entrepreneurship Awards (2022, 2023)

  • First Prize, School‑level Writing Contest Preliminaries (2022)

  • “S Award,” American University Mathematical Modeling Competition (2021)

  • Third Prize, School‑level Poetry Conference (2021)

  • Third Prize, University‑level Knowledge Contest (2020)

These honors reflect Jihong’s academic strength, innovativeness, and interdisciplinary excellence in technical writing, modeling, and creativity.

📄Top Noted Publications

Here are Jihong’s key publications (each listed with hyperlink, year, journal, and one-line citation count if available):

1. “Research on Autonomous Vehicle Control based on Model Predictive Control Algorithm”

  • Conference: IEEE ICDSCA 2024

  • Publisher: IEEE

  • Citations: 5

2. Feng et al., “Research on Move‑to‑Escape Enhanced Dung Beetle Optimization and Its Applications”

  • Journal: Biomimetics, 2024

  • Citations: 8

3. Wei et al., “AFO‑SLAM: an improved visual SLAM in dynamic scenes…”

  • Journal: Measurement Science and Technology, 2024

  • Citations: 6

4. Jia & Wang, “A Control Strategy and Simulation for Precision Control of Robot Arms”

  • Conference: ICIR 2024

  • Publisher: ACM

  • Citations: 3

5. Wang & Jia, “Research on UAV Trajectory Tracking Control Based on Model Predictive Control”

  • Conference: IEEE ICETCI 2024

  • Publisher: IEEE

  • Citations: 4

6. Xiong et al., “A Sinh Cosh Enhanced DBO Algorithm Applied to Global Optimization Problems”

  • Journal: Biomimetics, 2024

  • Citations: 7

7. Wang et al., “Research on the External Structure and Control System Design of Biomimetic Robots”

  • Conference: ICISCAE 2023

  • Publisher: IEEE

  • Citations: 2

📝 Under Review

8. “FAS‑YOLO: Enhanced Aerial Target Detection…”

  • Journal: Remote Sensing

  • Status: Under Review

9. Xu et al., “MASNet: Mixed Artificial Sample Network for Pointer Instrument Detection”

  • Journal: IEEE Transactions on Instrumentation and Measurement

  • Status: Under Review

Conclusion

Jihong Wang is a highly promising candidate for the Best Academic Researcher Award, especially in the student or early-career researcher category. The profile reflects a mature understanding of advanced robotics, intelligent systems, and real-world engineering problems, backed by publications, practical projects, and international experiences.