Javed Imran

About

I am a PhD student at Machine Vision Lab, IIT Roorkee, where I work under Prof. R. Balasubramanian in the field of Computer Vision and Deep Learning. My research interest includes Multimodal Human Activity Recognition using RGB, depth, sensor and infrared data.

Publications

	Javed Imran and Praveen Kumar. "Human action recognition using RGB-D sensor and deep convolutional neural networks." ICACCI (2016)
	Pushpajit Khaire, Praveen Kumar and Javed Imran. "Combining CNN streams of RGB-D and skeletal data for human activity recognition." Pattern Recognition Letters 115 (2018): 107-116.
	Javed Imran and Balasubramanian Raman. "Multimodal egocentric activity recognition using multi-stream CNN." ICVGIP (2018).
	Javed Imran and Balasubramanian Raman. "Evaluating fusion of RGB-D and inertial sensors for multimodal human action recognition." Journal of Ambient Intelligence and Humanized Computing (2019): 1-20.
	Javed Imran and Balasubramanian Raman. "Deep motion templates and extreme learning machine for sign language recognition." The Visual Computer (2019): 1-14.
	Javed Imran and Balasubramanian Raman. "Deep residual infrared action recognition by integrating local and global spatio-temporal cues." Infrared Physics & Technology (2019).
	Amitesh Singh Rajput, Balasubramanian Raman and Javed Imran. "Privacy-preserving human action recognition as a remote cloud service using RGB-D sensors and deep CNN." Expert Systems with Applications (2020).
	Javed Imran, Balasubramanian Raman and Amitesh Singh Rajput. "Robust, efficient and privacy-preserving violent activity recognition in videos ." ACM SAC (2020).
	Rahul Kumar, Ridhi Arora, Vipul Bansal, Vinodh J Sahayasheela, Himanshu Buckchash, Javed Imran, Narayanan Narayanan, Ganesh N Pandian and Balasubramanian Raman. "Accurate prediction of COVID-19 using chest X-ray images through deep feature learning model with SMOTE and machine learning classifiers." medRxiv (2020).

Awards and Scholarships

1. GATE 2014 and 2016 qualified.
2. NET 2014 qualified.
3. M.Tech Gold Medalist (9.8 CGPA)
4. Senator of Student Gymkhana for M.Tech batch
5. 4 years of teaching experience as a Computer Science faculty.