Interference-free regions with Han-Kobayashi scheme for M-QAM and scalar channels. - Paresh Saxena; Maria Angeles Vázquez-Castro (WiMob, 2012)

Network Coding Advantage over MDS Codes for Multimedia Transmission via Erasure Satellite Channels. - Paresh Saxena; Maria Angeles Vázquez-Castro (PSATS, 2013)

Network Coding over Satellite: From Theory to Design and Performance. - M. A. Vazquez-Castro; Paresh Saxena (WISATS, 2015)

Link Layer Systematic Random Network Coding for DVB-S2X/RCS. - Paresh Saxena; Maria Angeles Vázquez-Castro (IEEE Commun. Lett., 2015)

DARE: DoF-Aided Random Encoding for Network Coding Over Lossy Line Networks. - Paresh Saxena; Maria Angeles Vázquez-Castro (IEEE Commun. Lett., 2015)

SatNetCode: Functional Design and Experimental Validation of Network Coding over Satellite. - M. A. Vazquez-Castro; Paresh Saxena; Tan Do-Duy; TF. Vamstad; Harald Skinnemoen (ISNCC, 2018)

Taxonomy of Coding Techniques for Efficient Network Communications. - Brian Adamson; Cédric Adjih; Josu Bilbao; Victor Firoiu; Frank H. P. Fitzek; Samah A. M. Ghanem; Emmanuel Lochin; Antonia Masucci; Marie-José Montpetit; Morten Videbæk Pedersen; Goiuri Peralta; Vincent Roca; et al. (RFC, 2018)

One-Shot learning based classification for segregation of plastic waste. - Shivaank Agarwal; Ravindra Gudi; Paresh Saxena (DICTA, 2020)

NANCY: Neural Adaptive Network Coding methodologY for video distribution over wireless networks. - Paresh Saxena; Mandan Naresh; Manik Gupta; Anirudh Achanta; Sastri Kota; Smrati Gupta (GLOBECOM, 2020)

Resilient Hybrid SatCom and Terrestrial Networking for Unmanned Aerial Vehicles. - Paresh Saxena; Thomas Dreibholz; Harald Skinnemoen; Özgü Alay; M. A. Vazquez-Castro; Simone Ferlin; Güray Açar (INFOCOM Workshops, 2020)

Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code. - Shivaank Agarwal; Ravindra Gudi; Paresh Saxena (CoRR, 2020)

INGR Satellite Roadmap - 2022 Edition. - Sastri Kota; Giovanni Giambene; Mohammed Y. Abdelsadek; Mohamed-Slim Alouini; Sarath Babu 001; Joan Bas; Sachin Chaudhari; Debabrata Dalai; Tasneem Darwish; Tomaso de Cola; Thomas Delamotte; Ashutosh Dutta; et al. (FNWF, 2022)

SAC-AP: Soft Actor Critic based Deep Reinforcement Learning for Alert Prioritization. - Lalitha Chavali; Tanay Gupta; Paresh Saxena (CEC, 2022)

Performance analysis of Multipath Transport layer schedulers under 5G/B5G hybrid networks. - Pattiwar Shravan Kumar; Nida Fatima; Paresh Saxena (COMSNETS, 2022)

SAC-ABR: Soft Actor-Critic based deep reinforcement learning for Adaptive BitRate streaming. - Mandan Naresh; Nandiraju Gireesh; Paresh Saxena; Manik Gupta (COMSNETS, 2022)

Deep reinforcement learning based QoE-aware actor-learner architectures for video streaming in IoT environments. - Mandan Naresh; Vikramjeet Das; Paresh Saxena; Manik Gupta (Computing, 2022)

Integration of multi access edge computing with unmanned aerial vehicles: Current techniques, open issues and research directions. - Nida Fatima; Paresh Saxena; Manik Gupta (Phys. Commun., 2022)

PPO-ABR: Proximal Policy Optimization based Deep Reinforcement Learning for Adaptive BitRate streaming. - Mandan Naresh; Paresh Saxena; Manik Gupta (IWCMC, 2023)

Deep Reinforcement Learning with Importance Weighted A3C for QoE enhancement in Video Delivery Services. - Mandan Naresh; Paresh Saxena; Manik Gupta (WoWMoM, 2023)

Knowledge Empowered Deep Reinforcement Learning to Prioritize Alerts Generated by Intrusion Detection Systems. - Lalitha Chavali; Paresh Saxena; Barsha Mitra (AINA (4), 2024)

DEAR: DRL Empowered Actor-Critic ScheduleR for Multipath QUIC Under 5G/B5G Hybrid Networks. - Pattiwar Shravan Kumar; Paresh Saxena; Özgü Alay (AINA (1), 2024)

Computation Offloading in NTN-empowered MEC using Multi-Agent Distributed Deep Reinforcement Learning. - Nida Fatima; Paresh Saxena; Giovanni Giambene (GLOBECOM, 2024)

GRadient sharing A3C for Adaptive Bitrate (GRAAB): A DRL Based Approach for Adaptive Video Streaming. - Mandan Naresh; Paresh Saxena; Manik Gupta (ICOIN, 2024)

Off-policy actor-critic deep reinforcement learning methods for alert prioritization in intrusion detection systems. - Lalitha Chavali; Abhinav Krishnan; Paresh Saxena; Barsha Mitra; Aneesh Sreevallabh Chivukula (Comput. Secur., 2024)

Relationship between resource scheduling and distributed learning in IoT edge computing - An insight into complementary aspects, existing research and future directions. - Harsha Varun Marisetty; Nida Fatima; Manik Gupta; Paresh Saxena (Internet Things, 2024)

Deceiving supervised machine learning models via adversarial data poisoning attacks: a case study with USB keyboards. - Anil Kumar Chillara; Paresh Saxena; Rajib Ranjan Maiti; Manik Gupta; Raghu Kondapalli; Zhichao Zhang; Krishnakumar Kesavan (Int. J. Inf. Sec., 2024)

Deep reinforcement learning based computation offloading for xURLLC services with UAV-assisted IoT-based multi-access edge computing system. - Nida Fatima; Paresh Saxena; Giovanni Giambene (Wirel. Networks, 2024)

Multi-critic Deep Reinforcement Learning for Enhanced Alert Prioritization in Intrusion Detection Systems. - Lalitha Chavali; Paresh Saxena (AINA (5), 2025)

Transformer-based GAN-augmented Defender for Adversarial USB Keystroke Injection Attacks. - Anil Kumar Chillara; Paresh Saxena; Rajib Ranjan Maiti (ICDCN, 2025)

Next-generation DRL empowered actor-critic schedulers for multipath QUIC in 5G vehicular IoT. - Pattiwar Shravan Kumar; Paresh Saxena; Ozgu Alay (Internet Things, 2025)

USB-GATE: USB-based GAN-augmented transformer reinforced defense framework for adversarial keystroke injection attacks. - Anil Kumar Chillara; Paresh Saxena; Rajib Ranjan Maiti (Int. J. Inf. Sec., 2025)

Discovering Attack Signature and Its Travel Path using Graphical Model in CPS: A Case Study. - Praneeta Maganti; Paresh Saxena; Rajib Ranjan Maiti (ACM Trans. Cyber Phys. Syst., 2025)