Md. Jamil Khan recently completed his Bachelor’s degree in Computer Science and Engineering. During his academic life, he developed a keen interest in Data Science, Artificial Intelligence (AI), and Machine Learning. His primary research focuses on analyzing health-related data and developing AI-based prediction systems. Notably, improving data quality in heart disease detection and applying machine learning models are among his key contributions.

Additionally, he has developed a prescription recognition (OCR) system capable of analyzing handwritten prescriptions to identify medicine information. He has also worked on cancer detection projects using CNN and transformer-based models. Currently residing in Bangladesh, he is dedicating himself to research and skill development with the goal of working as a data scientist and AI engineer in the future.

💬 Q&A Session:

Question: First, please tell us about yourself.
Answer: I am Md. Jamil Khan. I recently completed my Bachelor’s in Computer Science and Engineering. My main areas of interest are Data Science, Artificial Intelligence (AI), and Machine Learning. I am passionate about learning new technologies and solving problems. In the future, I want to build a career as a data scientist and AI engineer.

Question: What is the focus of your research?
Answer: My main research was on improving data quality and using machine learning for heart disease detection. By collecting and processing various health-related datasets, I developed an AI model that can analyze patient data to predict the likelihood of heart disease and help doctors make quicker decisions.

Additionally, I developed a prescription recognition system (OCR) that can identify medicine names and necessary information from handwritten prescriptions. By utilizing computer vision and AI, this system saves time and reduces the chances of errors.

In another project, I applied CNN and transformer models to analyze various medical images to detect cancer accurately.

Question: How do your research works benefit, or will benefit, society?
Answer: My work aims to ensure the effective application of technology in the health sector. The heart disease prediction model helps to quickly identify patient risks. The prescription recognition system can contribute to saving time and reducing errors. The cancer detection project can assist doctors in more accurate diagnoses. As a result, the healthcare system can become faster, more effective, and more reliable.

Question: What message would you like to give to young students in Bangladesh?
Answer: I want to say—never think your dreams are too small. Perseverance and a willingness to learn new technologies will take you forward. You must have a mindset to learn from mistakes. Try to solve real-world problems. Today’s small steps can become a big contribution to the country in the future.

Contact Information:
Email: [email protected]

🔗 Profile Link

LinkedIn: https://www.linkedin.com/in/mdjamilkhan
Website: https://jamilkhanemon.vercel.app

Md. Jamil Khan’s research on the application of artificial intelligence in healthcare is an example of guiding the technological mindset of the younger generation towards solving real-world problems. Through his work on medical data analysis and the development of AI-based prediction systems, he has emphasized the humanitarian application of technology. The Biggani.org team wishes him the best in his research and future plans. May his efforts inspire the young researchers of Bangladesh—this is our hope.

Advancing Healthcare with Artificial Intelligence — A Conversation with Md. Jamil Khan

Md. Jamil Khan recently completed his Bachelor’s degree in Computer Science and Engineering. During his undergraduate studies, he developed a strong interest in Data Science, Artificial Intelligence (AI), and Machine Learning. His primary research focus centers on applying AI techniques to healthcare data analysis and predictive modeling.

One of his major research works involves improving data quality for heart disease prediction using machine learning models. He has worked on integrating and preprocessing multiple healthcare datasets to develop an AI-based system capable of predicting heart disease risks. In addition, he developed a Prescription Recognition (OCR) system that can extract medicine names and related information from handwritten prescriptions using computer vision and AI techniques. He has also worked on cancer detection projects using CNN and transformer-based models for medical image analysis.

Currently based in Bangladesh, he aims to build a career as a Data Scientist and AI Engineer while continuing his research and skill development in AI-driven healthcare solutions.

💬 Interview Session:

Question: First, please tell us about yourself.
Answer: I am Md. Jamil Khan, and I recently completed my Bachelor’s degree in Computer Science and Engineering. My main areas of interest are Data Science, Artificial Intelligence (AI), and Machine Learning. I am passionate about learning new technologies and solving real-world problems. In the future, I aim to build my career as a Data Scientist and AI Engineer.

Question: What is your research focus?
Answer: My primary research focused on improving data quality for heart disease detection using machine learning. I collected and processed various healthcare-related datasets to build an AI model that can analyze patient data and predict the probability of heart disease. This system can assist doctors in making faster and more informed decisions.

Additionally, I developed a Prescription Recognition System (OCR) that can identify medicine names and related information from handwritten prescriptions. By using computer vision and AI, the system helps save time and reduce potential human errors.

I also worked on a cancer detection project where medical images were analyzed using CNN and transformer-based models to accurately detect diseases.

Question: How do your research works benefit society?
Answer: My projects aim to ensure effective application of technology in the healthcare sector. The heart disease prediction model can quickly identify patient risk levels. The prescription recognition system can reduce time consumption and minimize errors. The cancer detection system can assist doctors in more accurate diagnosis. Overall, these technologies can contribute to making healthcare systems more efficient, reliable, and accessible.

Question: What message would you like to give to young students in Bangladesh who want to pursue science?
Answer: I would say—never underestimate your dreams. Dedication and a willingness to learn new technologies will help you move forward. Do not be afraid of making mistakes; mistakes are part of the learning process. Try to solve real-world problems. Today’s small efforts can become tomorrow’s significant contributions to the country.

Contact Information:

Email: [email protected]

🔗 Profile Links:

LinkedIn: https://www.linkedin.com/in/mdjamilkhan
Website: https://jamilkhanemon.vercel.app

Md. Jamil Khan’s work demonstrates how artificial intelligence can be applied to address real challenges in the healthcare sector. His focus on medical data analysis and AI-driven predictive systems reflects a growing trend toward technology-enabled healthcare solutions. The biggani.org team extends best wishes for his continued success in research and professional development. May his work inspire young researchers in Bangladesh to pursue science and innovation with dedication and purpose.