Modularity in continually evolving systems. - Urjaswala Vora; Peeyush Chomal; Rahul Upadhyay; Vikram Khati (AOSD (Companion), 2011)

Breaking barrier to technology: e-governance messaging middleware. - Vijay Jain; Rajeev Srivastava; Ranjan Kumar; Rahul Upadhyay; Kapil Kant Kamal (ICEGOV, 2011)

A fast and efficient content aware downscaling based image compression method for mobile devices. - Rahul Upadhyay; Ajay Surendranath (SIGGRAPH ASIA (Posters), 2017)

Learning User Preferences for Recommender System Using YouTube Videos Tags. - Sunita Tiwari; Abhishek Jain; Prakhar Kothari; Rahul Upadhyay; Kanishth Singh (ICCSA (4), 2018)

Eeg Artifact Removal and Noise Suppression Using Hybrid Glct -Ica Technique. - Komal Jindal; Rahul Upadhyay; Hari Shankar Singh (ICUMT, 2018)

Stockwell-common spatial pattern technique for motor imagery-based Brain Computer Interface design. - S. Sethi; Rahul Upadhyay; Hari Shankar Singh (Comput. Electr. Eng., 2018)

Deep Recurrent Architecture based Scene Description Generator for Visually Impaired. - Aviral Chharia; Rahul Upadhyay (ICUMT, 2020)

Application of hybrid GLCT-PICA de-noising method in automated EEG artifact removal. - Komal Jindal; Rahul Upadhyay; Hari Shankar Singh (Biomed. Signal Process. Control., 2020)

From Convolutions towards Spikes: The Environmental Metric that the Community currently Misses. - Aviral Chharia; Shivu Chauhan; Rahul Upadhyay; Vinay Kumar (CoRR, 2021)

A novel machine learning-based analytical framework for automatic detection of COVID-19 using chest X-ray images. - Shikhar Johri; Mehendi Goyal; Sahil Jain; Manoj Baranwal; Vinay Kumar; Rahul Upadhyay (Int. J. Imaging Syst. Technol., 2021)

Development of an adaptive neuro fuzzy inference system based vehicular traffic noise prediction model. - Daljeet Singh; Rahul Upadhyay; Husanbir Singh Pannu; Dimitri Leray (J. Ambient Intell. Humaniz. Comput., 2021)

Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network. - Aviral Chharia; Rahul Upadhyay; Vinay Kumar; Chao Cheng; Jing Zhang 062; Tianyang Wang; Min Xu 009 (IEEE Access, 2022)

Hybrid time-reassigned multisynchrosqueezing transform-Picard-based automated electroencephalography artifact correction methodology for brain-computer interface applications. - Tanvi Dovedi; Rahul Upadhyay; Vinay Kumar (Int. J. Imaging Syst. Technol., 2022)

A novel EEG channel selection and classification methodology for multi-class motor imagery-based BCI system design. - Komal Jindal; Rahul Upadhyay; Hari Shankar Singh (Int. J. Imaging Syst. Technol., 2022)

Design and Analysis of Compact Quad-Element MIMO Antenna with Asymmetrical Ground Structures for Ultra-Wideband Communication. - Harleen Kaur; Hari Shankar Singh; Rahul Upadhyay (Wirel. Pers. Commun., 2022)

Multivariate variational mode decomposition & phase space reconstruction based motor imagery EEG classification. - Tanvi Dovedi; Rahul Upadhyay; Vinay Kumar (Comput. Electr. Eng., 2023)

E-CNNet: Time-reassigned Multisynchrosqueezing transform-based deep learning framework for MI-BCI task classification. - Manvir Kaur; Rahul Upadhyay; Vinay Kumar (Int. J. Imaging Syst. Technol., 2023)

A Hybrid Deep Learning Framework Using Scaling-Basis Chirplet Transform for Motor Imagery EEG Recognition in Brain-Computer Interface Applications. - Manvir Kaur; Rahul Upadhyay; Vinay Kumar (Int. J. Imaging Syst. Technol., 2024)

Enhancing motor imagery task recognition through local maximum synchro-squeezing transform and multi-domain features. - Tanvi Dovedi; Rahul Upadhyay; Vinay Kumar (Biomed. Signal Process. Control., 2025)