Investigations into the working of swarms in nature (eg: army ants, weaver ants, school of fishes and even cells in a multicellular organism ). Designing and developing bio-inspired Swarm robotics platform artificially imitating these natural processes of communication and coordination among group of robots.
An automotive enabled integrated sensory system is designed to identify physical discomfort of the passenger travelling in the public transportation system. The sensory system is designed to connect with the emergency response team for any immediate action. 
A network of real time ultrasound based smart door person occupancy detector was designed and developed to identify and monitor human movement through a door with applications in big public buildings with large footfall.
Designed a easily replicable 4 DOF and 2 DOF planar manipulator for testing various trajectory planning algorithms using LEGO MINDSTORMS EV3 with EV3Dev distro for better actuator and sensor data access.
Designed and developed an autonomous solar powered field tiller using image processing and magnetic encoders to solve simultaneous localization and mapping(SLAM) problem.
Developed a hand based controller for various peripherals like mouse and keyboard through hand gesture and movement with applications in fields of VR and to help disabled people to communicate with others and is an easy interface to technology. 
Published in KDD 2018 Deep Learning Day, 2018
Recommended citation: @article{gupta2018neural, title={Neural Attention Reader for Video Comprehension}, author={Gupta, Ashish and Mehrotra, Rishabh and Gupta, Manish}, year={2018} }
Published in REVEAL: A RecSys 2019 Workshop, 2019
Recommended citation: @article{guptasequence, title={Sequence-aware Reinforcement Learning over Knowledge Graphs}, author={Gupta, Ashish and Mehrotra, Rishabh} }
Published in NLDL, 2020
Recommended citation: @inproceedings{gupta2020joint, title={Joint Attention Neural Model for Demand Prediction in Online Marketplaces}, author={Gupta, Ashish and Mehrotra, Rishabh}, booktitle={Proceedings of the Northern Lights Deep Learning Workshop}, volume={1}, pages={6--6}, year={2020} }
Published in KDD, 2020
Recommended citation: @inproceedings{mehrotra2020learning, title={Learning with Limited Labels via Momentum Damped \& Differentially Weighted Optimization}, author={Mehrotra, Rishabh and Gupta, Ashish}, booktitle={Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining}, pages={3416--3425}, year={2020} }
Published in IEEE BigData, 2020
Recommended citation: @inproceedings{krishna2020hyper, title={Hyper-parameter optimization with REINFORCE and Masked Attention Auto-regressive Density Estimators}, author={Krishna, Chepuri Shri and Gupta, Ashish and Narayan, Swarnim and Rai, Himanshu and Manchanda, Diksha}, booktitle={2020 IEEE International Conference on Big Data (Big Data)}, pages={5108--5117}, year={2020}, organization={IEEE} }
Published in IEEE BigData, 2020
Recommended citation: @inproceedings{narayan2020ultron, title={Ultron-AutoML: an open-source, distributed, scalable framework for efficient hyper-parameter optimization}, author={Narayan, Swarnim and Krishna, Chepuri Shri and Mishra, Varun and Rai, Abhinav and Rai, Himanshu and Bharti, Chandrakant and Sodhi, Gursirat Singh and Gupta, Ashish and Singh, Nitinbalaji}, booktitle={2020 IEEE International Conference on Big Data (Big Data)}, pages={1584--1593}, year={2020}, organization={IEEE} }
Published in Microsoft Journal of Applied Research, 2022
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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