• Name (English):
  Ibtihaj Ahmad
• Date of Employment:
  2024-08
• School/Department:
  School of Public Health
• Administrative Position:
  Post Doctorate
• Education Level:
  Postgraduate (Doctoral)
• Business Address:
  National Health and Medical Big Data Research Institute of Shandong University, School of Public Health, Xinglongshan Campus, Jinan, Shandong, China
• Gender:
  Male
• Contact Information:
  0abb299969d7b6b5e3e6bcd279f0fe4851d9b22f2ee3ef23bf32ca6f1c97f3268d1149b46f9c7bf1d3f074cd9d848f14a94cacb907d42385bb2730e6a504b24b48efdecd6abef0e827b1e0f9e4cb967d4a111ed2c41c535ff677ede184c21ec233a063cd90615c6b7019207d1a180633e520c06104f4443ecade0e6df42f3eb1
• Degree:
  Doctor
• Alma Mater:
  Northwestern Polytechnical University, China

    I am a research scholar and educator specializing in Artificial Intelligence, Machine Learning, and their applications in medical imaging, medical big data, and multimodal sensor fusion. With a strong academic foundation and hands-on experience, my work focuses on leveraging AI for impactful healthcare solutions. My research spans several interdisciplinary domains, including, Artificial Intelligence | Machine Learning | Multimodality AI Pipelines | LLM | Medical Imaging | Medical Big Data | Segmentation | Classification | Detection | Image Processing | Cyber Physical Systems | Electronics

        Currently, I serve as a Postdoctoral Fellow at the National Health and Medical Big Data Research Institute of Shandong University, where I contribute to projects involving digital twins, medical AI pipelines, and big data fusion. In parallel with my research, I have been teaching Python, Artificial Intelligence, Machine Learning, Image Processing, and Digital Logic Design for over four years across universities, open platforms, and freelance engagements. I take pride in bridging the gap between academic research and real-world applications through collaborative projects and continuous learning.