Dr. Shumaila Javaid, Tongji University, Shanghai, China
Dr. Shumaila Javaid is an accomplished Assistant Professor at Tongji University in Shanghai, where she leverages her extensive expertise in Artificial Intelligence, Machine Learning, Unmanned Aerial Vehicles (UAVs), sensors, cloud computing, wireless networks, and nanotechnology. With a Ph.D. in Computer Software and Theory from Shaanxi Normal University, her research focuses on optimizing communication protocols and developing AI-driven solutions for complex decision-making in real-time environments. Dr. Javaid has published numerous high-quality articles in top-tier journals, contributing significantly to both theoretical advancements and practical applications in her field. Passionate about teaching, she creates engaging courses that encourage critical thinking and innovation among undergraduate and graduate students. A strong advocate for interdisciplinary collaboration, she is dedicated to mentoring the next generation of technology leaders and advancing cutting-edge research in healthcare and communication technologies.
Professional Profile:
ORCID
Summary of Suitability for Best Researcher Award:
Dr. Shumaila Javaid stands as a highly deserving candidate for the Best Researcher Award due to her exceptional contributions to academia and research. Her extensive work in artificial intelligence, machine learning, unmanned aerial vehicles (UAVs), nanotechnology, and wireless networks demonstrates her ability to drive innovation and tackle critical challenges in emerging technologies.
Education:
π Ph.D. in Computer Software and Theory, Shaanxi Normal University, China (2020)
- Specialized in energy and temperature challenges in intrabody nanonetworks.
- Designed five energy-efficient routing schemes.
π MS in Telecommunication and Networking, Bahria University, Pakistan (2015)
π BS in Telecommunication and Networking, Comsats University, Pakistan (2012)
Skills:
- Teaching π©βπ«
- Research and Analysis π
- Experimental Design π§ͺ
- Data Analysis π
- Grant Writing π°
- Technical Proficiency βοΈ
- Problem Solving π§©
- Communication π’
Previous Experience:
Post-Doctoral Researcher at Tongji University (Mar 2021 – Dec 2023)
π§ͺ Conducted cutting-edge research in communication protocols and autonomous systems.
Teaching Associate at Comsats University (Mar 2012 – Aug 2016)
π Guided students in telecommunications and networking, fostering a passion for technology.
Research Focus:
π¬ Shumaila’s research spans key areas of Artificial Intelligence, Machine Learning, Unmanned Aerial Vehicles, Sensors, and Wireless Networks. She is dedicated to optimizing communication protocols for autonomous systems and enhancing network performance in challenging environments.
Publication Top Notes:
From sensing to energy savings: A comprehensive survey on integrating emerging technologies for energy efficiency in WBANs
Self-Powered Sensors: Applications, Challenges, and Solutions
Deep Learning Techniques for Vehicle Detection and Classification from Images/Videos: A Survey
A Novel Cooperative Relaying-Based Vertical Handover Technique for Unmanned Aerial Vehicles
Feedforward Neural Network-Based Data Aggregation Scheme for Intrabody Area Nanonetworks