Eng. N. I Vithanage

BTech(Eng)(Hons)(OUSL), AMIE(SL), MIEEE

Lecturer (Probationary)

Dept. of Electrical and Computer Engineering
AI Hardware and Neuroproessors, High-Performance Computing (HPC), Application-Specific Processor Design, Accelerated Computing, Machine Learning for Computational Biology

EES5236 Computer Architecture and Organization I
EES6236 Computer Architecture and Organization II
EEI5263 Computer Organization and Architecture
EES4317 Object-Oriented Design and Programming

  • S. Edirisooriya, N. Vithanage, and B. Abeyarathna, ” Hybrid Machine Learning Architecture for Predicting Multiple Mental Disorders Using Blood Biomarkers and Demographic Features” in IEEE 19th International Conference on Industrial and Information Systems (ICIIS) 2025.

 

  • S. Edirisooriya, N. Vithanage, and B. Abeyarathna, “Machine Learning- Based System to Predict Mental Illness Using Blood Biomarkers and Demographic Factors,” in 25th International Conference on Advances in ICT For Emerging Regions (ICTer) 2025.

 

  • N.I Vithanage, L.S.K Udugama, H.U.W. Rathnayake, Hardware Design of a Pipelined Log Sigmoid Activation Function with Higher Precision, in International Conferences on  Communication and Computing ( ICC) 2014. Elsevier, Bangalore, pp. 269–274.

AMIE (SL), AEng ECSL, MIEEE