Educational Background

PhD – Artificial Intelligence (2021 – Present, Thesis Submitted)

M.Tech – Computer Science Engineering

B.Tech – Electronics and Computer Engineering

Professional Experience

Assistant Professor
Department of Information Science & Engineering
CMR Institute of Technology, Bengaluru (March 2026 – Present)

Professional Body Memberships

Internet Society (ISOC)
Computer Society of India (CSI)

Areas of Interest in Research

Artificial Intelligence
Machine Learning
Deep Learning
Computer Vision
Autism Detection using Facial Images

Research Publications

Jahanara Shaik. Detecting Autism from Facial Image. Research Article, Mar 2021.

Jahanara Shaik, R. Shekhar, C. J. Shelke. Hybrid Deep Learning Framework for Autism Detection in Children Using Facial Emotion Recognition. Ingénierie des Systèmes d’Information, Oct 2025. (Scopus Q3)

Jahanara Shaik. An Integrated Data-Driven Analysis-Based Deep Learning Framework for Early Autism Detection in Children to Improve Diagnostic Performance. Jan 2025. (Scopus Q4)

Jahanara Shaik, R. Shekhar, C. J. Shelke. Multimodal Fusion of Deep Transfer Learning with Wavelet Neural Network for Autism Spectrum Disorder Detection Using Facial Images. Multimedia Tools and Applications, Springer, 2026. (Scopus Q1). 

Projects

Autism Diagnosis using Artificial Intelligence

Efficient Prediction of Difficult Keyword Queries over Databases

Secret Communication through Art Image using Line-Based Cubism Technique 

FDPs Attended 

Five-Day Online FDP on “AI Tools for Engineering Faculty: Enhancing Teaching, Research, and Academic Productivity,” conducted in March 2026.

Five-Day FDP on “From Deep Learning to Agentic AI: Intelligent Decision-Making in Healthcare Applications,” organised by the Vellore Institute of Technology, Vellore, conducted in March 2026.

Technical Skills

Python
Machine Learning
Deep Learning
C++
Java

Languages Known

English
Telugu
Hindi