An Efficient Scheme for Wireless Charging of Electric Vehicles Using RFID with an Optimal Path Planning. - Shubham Arora; Siddharth Goel; Prateek Chhikara; Harpreet Singh; Neeraj Kumar 001; Prashant Singh Rana (GLOBECOM Workshops, 2019)

Federated Learning for Air Quality Index Prediction using UAV Swarm Networks. - Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Sudeep Tanwar; Joel J. P. C. Rodrigues (GLOBECOM, 2021)

Federated learning-based aerial image segmentation for collision-free movement and landing. - Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Sudeep Tanwar (DroneCom@MobiCom, 2021)

A deep transfer learning based model for automatic detection of COVID-19 from chest X-ray. - Prateek Chhikara; Prakhar Gupta; Prabhjot Singh; Tarunpreet Bhatia (Turkish J. Electr. Eng. Comput. Sci., 2021)

Artificial intelligence-enabled Internet of Things-based system for COVID-19 screening using aerial thermal imaging. - Ahmed Barnawi; Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Bander A. Alzahrani (Future Gener. Comput. Syst., 2021)

Federated Learning Meets Human Emotions: A Decentralized Framework for Human-Computer Interaction for IoT Applications. - Prateek Chhikara; Prabhjot Singh; Rajkumar Tekchandani; Neeraj Kumar 001; Mohsen Guizani (IEEE Internet Things J., 2021)

DCNN-GA: A Deep Neural Net Architecture for Navigation of UAV in Indoor Environment. - Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Vinay Chamola; Mohsen Guizani (IEEE Internet Things J., 2021)

Federated Learning and Autonomous UAVs for Hazardous Zone Detection and AQI Prediction in IoT Environment. - Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Mohsen Guizani; Mohammad Mehedi Hassan (IEEE Internet Things J., 2021)

An Efficient Container Management Scheme for Resource-Constrained Intelligent IoT Devices. - Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Mohammad S. Obaidat (IEEE Internet Things J., 2021)

$ mathtt {RE text{- }Tagger}$: A Light-Weight Real-Estate Image Classifier. - Prateek Chhikara; Anil Goyal; Chirag Sharma (ECML/PKDD (6), 2022)

RE-Tagger: A light-weight Real-Estate Image Classifier. - Prateek Chhikara; Anil Goyal; Chirag Sharma (CoRR, 2022)

Data dimensionality reduction techniques for Industry 4.0: Research results, challenges, and future research directions. - Prateek Chhikara; Nikhil Jain; Rajkumar Tekchandani; Neeraj Kumar 001 (Softw. Pract. Exp., 2022)

Privacy Aware Question-Answering System for Online Mental Health Risk Assessment. - Prateek Chhikara; Ujjwal Pasupulety; John Marshall; Dhiraj Chaurasia; Shweta Kumari (BioNLP@ACL, 2023)

DIGITOUR: Automatic Digital Tours for Real-Estate Properties. - Prateek Chhikara; Harshul Kuhar; Anil Goyal; Chirag Sharma (COMAD/CODS, 2023)

Knowledge-enhanced Agents for Interactive Text Games. - Prateek Chhikara; Jiarui Zhang 002; Filip Ilievski; Jonathan Francis; Kaixin Ma (K-CAP, 2023)

Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models. - Jiarui Zhang 002; Mahyar Khayatkhoei; Prateek Chhikara; Filip Ilievski (CoRR, 2023)

Visual Cropping Improves Zero-Shot Question Answering of Multimodal Large Language Models. - Jiarui Zhang 002; Mahyar Khayatkhoei; Prateek Chhikara; Filip Ilievski (CoRR, 2023)

A CNN-based scheme for COVID-19 detection with emergency services provisions using an optimal path planning. - Ahmed Barnawi; Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Mehrez Boulares (Multim. Syst., 2023)

FIRE: Food Image to REcipe generation. - Prateek Chhikara; Dhiraj Chaurasia; Yifan Jiang 001; Omkar Masur; Filip Ilievski (WACV, 2024)

Sea-Pix-GAN: Underwater image enhancement using adversarial neural network. - Dhiraj Chaurasia; Prateek Chhikara (J. Vis. Commun. Image Represent., 2024)

Adaptive federated learning scheme for recognition of malicious attacks in an IoT network. - Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001 (Computing, 2024)

A Differentially Privacy Assisted Federated Learning Scheme to Preserve Data Privacy for IoMT Applications. - Ahmed Barnawi; Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Bander A. Alzahrani (IEEE Trans. Netw. Serv. Manag., 2024)

MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs. - Jiarui Zhang 002; Mahyar Khayatkhoei; Prateek Chhikara; Filip Ilievski (ICLR, 2025)

Mind the Confidence Gap: Overconfidence, Calibration, and Distractor Effects in Large Language Models. - Prateek Chhikara (CoRR, 2025)

Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory. - Prateek Chhikara; Dev Khant; Saket Aryan; Taranjeet Singh; Deshraj Yadav (CoRR, 2025)

Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations. - Bradley P. Allen; Prateek Chhikara; Thomas Macaulay Ferguson; Filip Ilievski; Paul Groth (CoRR, 2025)