Dr. Rustam Ali Ahmed

Ph.D. (Computer Science & Engineering)

Director – RWorld Computer Solutions (OPC) Pvt. Ltd.

Assam, India | +91 7002453818 | ahmed.rustam77@gmail.com

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Profile Summary

Experienced Computer Science academician with 19+ years of teaching, research, and academic leadership. Expertise in Artificial Intelligence, medical image analysis, and cloud-based systems. Strong track record in Ph.D. supervision, publications, and development of large-scale academic platforms.

Research Interests
Education
Academic Experience

Sikkim Manipal Institute of Technology (SMIT)

Research Supervision

Ph.D. Scholar: Ashis Datta (Ongoing)

Topic: Computer-Aided Prediction of Brain-Related Diseases using Radiology Images

Status: Thesis under submission

Key Projects
Publications
Journal Papers
  1. Rustam Ali Ahmed, Bhogeswar Borah, “Triangle Wise Mapping Technique to Transform One Face Image into Another Face Image,” International Journal of Computer Applications, vol. 87, no. 6, pp. 1–8, 2014.
  2. Rustam Ali Ahmed, Bhogeswar Borah, “An Iterative Search-Based Technique to Find or Predict Older Face Images of a Child,” International Journal of Computer Applications, vol. 151, pp. 1–6, 2016.
  3. Shubhraleena Chowdhury, Rustam Ali Ahmed et al., “Study on the Impact of Internet Technologies in Medical Science,” 2015.
  4. Shrija Sanjana, Rustam Ali Ahmed et al., “Comparative Studies on Iris Recognition System,” 2016.
  5. Pritikana Sen, Rustam Ali Ahmed et al., “A Study on E-Commerce Security Issues and Solutions,” 2015.
Conference / Book Chapters
  1. Rustam Ali Ahmed, B. Borah et al., HIMIC: A Hierarchical Mixed-Type Data Clustering.
  2. Ashis Datta, Rustam Ali Ahmed et al., “PIRNet: Deep Neural Network for Brain MRI Segmentation,” ASCIS 2024.
  3. Ashis Datta, Rustam Ali Ahmed et al., “Alzheimer Disease Detection using MobileNetV2 Integrated with Vision Transformer,” ICMEET 2024.
  4. Ashis Datta, Rustam Ali Ahmed et al., “Automated Multi-Class Brain Glioma Segmentation,” ICDSC 2024.
  5. Ashis Datta, Rustam Ali Ahmed et al., “SLesionNet: Transformer-Based Stroke Lesion Segmentation,” SCI Journal (Under Review 2026).
Technical Skills
Python Java C/C++ AWS Docker Kubernetes React Django
Awards & Recognition
© 2026 Dr. Rustam Ali Ahmed