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Dr. Paresh Saxena is an Associate Professor in the Department of Computer Science & Information Systems, with research expertise in the development of intelligent networked systems. He received his M.E. and Ph.D. degrees from Universitat Autònoma de Barcelona, Spain, in 2011 and 2015, respectively, and B. Tech from LNMIIT, Jaipur in 2009. He was a member of European COST action IC1104 from 2013-2016 and worked on the project funded by MITACS, Canada in 2008. He has been a visiting researcher in SFU, Vancouver, Canada in 2008 and Telecom ParisTech, Paris in 2010. His research focuses on the design and optimization of next-generation computing and networking systems, with particular emphasis on NTN-enabled architectures, distributed intelligence, resource management, and adaptive networking solutions. He brings over a decade of post-doctoral research and development experience in advanced networking technologies, combining expertise across communication systems, distributed computing, and artificial intelligence. His doctoral research involved the design and implementation of channel and network coding techniques across application and link layers, including practical work on non-terrestrial networking systems. He has contributed to multiple international and industry-supported research initiatives, including projects funded by the European Space Agency (ESA), government agencies (ANRF), and industrial partners (Google, AMD, Wipro, Axiado). His recent research explores distributed decision-making and resource optimization using reinforcement learning and intelligent offloading strategies for edge and distributed computing environments. These efforts address challenges in workload orchestration, adaptive resource allocation, and the autonomous management of large-scale networked systems. In addition to research, he has extensive experience in leading collaborative projects, mentoring graduate researchers, and contributing to the broader research community through reviewing, standardization activities, and participation in international research groups and forums.

Email: psaxena@hyderabad.bits-pilani.ac.in   



News

  • Two more papers are accepted on applied DRL for cybersecurity and multipath networking in the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Kitakyushu International Convention Center, Kitakyushu, Japan. Congratulations to Shravan and Lalitha for the accepted papers.
  • Two more papers are accepted on our new DRL based ABR techniques for improving video ABR. One paper is accepted in 24th IEEE WoWMoM, Boston, Massachusetts, and the another one is accepted in 18th IEEE IWCMC, Marrakesh, Morocco. Congratulations to Mandan for the two accepted papers.
  • I will be delivering an invited talk on "Deep Reinforcement Learning for MEC Enabled Non-Terrestrial Networks: Models, Applications and Challenges" at 48th Wireless World Research Forum, Abu Dhabi, UAE with Plenary Session 4: "Non-Terrestrial Networks" on November 8, 2022. Join this interesting panel discussion here.
  • I will be charing a session on Edge computing and intelligence for 6G at Advanced Solutions for 6G Satellite Systems, IEEE Future Networks Initiative, July 2022.
  • Two papers are accepted in 14th IEEE/ACM International Conference on COMmunication Systems & NETworkS (COMSNETS 2022). Congratulations to PhD students: Mandan, Shravan and Nida on the acceptance of well written papers.
  • I will be delivering an invited talk on "UAV enabled Multi Access Edge Computing: Current Trends and Future Research Directions" at IEEE 5G World Forum Panel #2 "Connecting the Unconnected and Satellite Networking Trends and Challenges" on October 13, 2021. Join this interesting panel discussion here.
  • I will be delivering an invited talk on "Machine Learning for 5G/B5G Non-terrestrial Networks" at IEEE 5G World Forum , 10-15 Sep 2020. Join this interesting track on The Role of Satellites for 5G and Beyond.
  • I will be delivering an invited talk on "6G Mobile Communications - Agenda 2030 "Leave no-one behind"" at MCEME, India, Oct 2020.
  • A paper is accepted in IEEE 39th Globecom 2020, Taiwan. Congratulations Mandan and Anirudh for their first paper ! Thanks to Dr. Sastri Kota (Univ. of Oulu, Finland), Dr. Smrati Gupta (Microsoft Corp., Richmond, USA) and Dr. Manik Gupta (BITS Hyderabad) for their excellent contributions..
  • A demo is accepted in IEEE 45th LCN 2020, Australia. Thanks to Dr. T. Dreibholz (Simula, Oslo) and Dr. H. Skinnemoen (AnsuR, Oslo) for their excellent contributions..
  • A tutorial is accepted in 12th IEEE Laticom 2020. Thanks to Dr. Sastri Kota (Univ. of Oulu, Finland) for his excellent contributions..
  • A paper is accepted in DICTA 2020 - flagship Australian Conference on computer vision. Congratulations Shivaank for his first first-author paper ! Thanks to Prof. R. Gudi (IIT Bombay, India) for his excellent contributions..
  • A paper is accepted in ACM 26th Mobicom Workshop, London, 2020. Congratulations Anirudh and Aneesh for their good work ! Thanks to Prof. C. Hota (BITS Pilani) for the opportunity to colloborate on the hybrid fusion learning..
  • A paper is accepted in IEEE 39th INFOCOM Workshop, Toronto, Canada, 2020. Thanks to Dr. T. Dreibholz (Simula, Oslo), Dr. H. Skinnemoen (AnsuR, Oslo), Prof. O. Alay (Simula, Oslo), Prof. M. A. Vazquez Castro (UAB, Barcelona, Spain), Dr. S. Ferlin (Erricson, Sweden) and G. Acar (European Space Agency, Netherlands) for their excellent contributions..



Selected Projects/Fellowships
MASTIC: ML-Aided Secure SoC and Analytics
Funding Agency: Axiado
Year: 2021-2023
Project Type: Research & Development
MUT-DROCO: Multipath Networking Test-bed for Drone Communications
Funding Agency: DST-SERB, Govt. of India.
Year: 2020-2022
Project Type: Research & Development
NANCY: Neural Adaptive Network Coding methodologY for video distribution through wireless networks.
Funding Agency: TCS, India .
Year: 2019-2023
Project Type: Fellowship for PhD Student
Real-time Performance Analysis of Network Coding Implementation
Funding Agency: BITS Pilani, India.
Year: 2020-2022
Project Type: Research & Development
HENCSAT: Highly Efficient Network Coding for Satellite Applications Test-bed.
Funding Agency: European Space Agency, Netherlands .
Year: 2016-2020
Project Type: Research & Development
SatNetCode: Satellite Network-Coding for High Performance, Semantic-Aware Mission Critical Visual Communications.
Funding Agency: European Space Agency, Netherlands .
Year: 2015-2018
Project Type: Research & Development
PhD Fellowship
Funding Agency: Govt. of Spain, UAB, Barcelona, Spain
Year: 2011-2015
Project Type: Fellowship
National Talent Search Examination (NTSE) Fellowship
Funding Agency: National Council of Educational Research and Training, India.
Year: 2002
Project Type: Fellowship
Visiting Researcher Fellowship
Funding Agency: ParisTech, Paris, France
Year: 2010
Project Type: Research & Development
Visiting Researcher Fellowship
Funding Agency: Simon Fraser University, Vancouver, Canada
Year: 2008
Project Type: Fellowship


Research Group

Ph.D. Students (Current)

Shravan Pattiwar Pattiwar Shravan Kumar

  • Advisor: Paresh Saxena, Co-Advisor: Ozgu Alay (University of Oslo, Norway)
  • Thesis Defense Date: Ongoing
  • Thesis Title: Intelligent Multipath Scheduling for Next Generation Communication Systems
  • Funding Agency: Institute Fellowship



    • S Shashank S Shashank

  • Advisor: Paresh Saxena, Co-Advisor: Vinay Narayane (ParasAntiDrone)
  • Thesis Defense Date: Ongoing
  • Thesis Title: GPS anti-jamming and anti-spoofing implementation with complex algorithms and power optimization techniques
  • Funding Agency: Prime Minister Research Fellow (PMRF)



    • Krishna Krishna Maitreya Jaldu

  • Advisor: Paresh Saxena, Co-Advisor: Sandip Deshmukh, and Alivelu Manga Parimi
  • Thesis Defense Date: Ongoing
  • Thesis Title: TBA
  • Funding Agency: DRDO



    • Ameya Ameya Rakesh Ramteke

  • Advisor: Paresh Saxena, Co-Advisor: Soumya Joshi
  • Thesis Defense Date: Ongoing
  • Thesis Title: TBA
  • Funding Agency: Google



    • Durga Durga Saranyu D K

  • Advisor: Paresh Saxena, Co-Advisor: Soumya Joshi
  • Thesis Defense Date: Ongoing
  • Thesis Title: TBA
  • Funding Agency: AMD



    • Deepak Deepak Nair

  • Advisor: Soumya Joshi, Co-Advisor: Paresh Saxena
  • Thesis Defense Date: Ongoing
  • Thesis Title: TBA
  • Funding Agency: AMD



    • Aathira Aathira Sunil

  • Advisor: Soumya Joshi, Co-Advisor: Paresh Saxena
  • Thesis Defense Date: Ongoing
  • Thesis Title: TBA
  • Funding Agency: Google



    • Ph.D. Students (Past)

    Mandan Naresh Mandan Naresh

  • Advisor: Paresh Saxena, Co-Advisor: Manik Gupta
  • Thesis Defense Date: 16th January 2025
  • Thesis Title: Reinforcement Learning-based Video Distribution Through Wireless Networks
  • Funding Agency: TCS Fellow



    • Lalita Chavali Lalitha

  • Advisor: Paresh Saxena
  • Thesis Defense Date: 4th November 2025
  • Thesis Title: Deep Reinforcement Learning for Prioritizing Alerts Generated by Intrusion Detection Systems
  • Funding Agency: ANRF Start-up Research Grant, Govt. of India.



    • Nida Fatima Nida Fatima

  • Advisor: Paresh Saxena, Co-Advisor: Giovanni Gaimbene (University of Siena, Italy)
  • Thesis Defense Date: 19th April 2025
  • Thesis Title: Computation Offloading in Non-Terrestrial Network Empowered Multi-Access Edge Computing Systems
  • Funding Agency: Institute Fellowship



    • Chillara Anil Kumar Chillara Anil Kumar

  • Advisor: Paresh Saxena, Co-Advisor: Rajib Maiti, and Manik Gupta
  • Thesis Defense Date:2nd February 2026
  • Thesis Title: Adaptive and Interpretable Transformer-Based Detection of Adversarial USB Devices
  • Funding Agency: Axiado (Industry Sponsored)






    • Selected Publications
    Journals
    • [J16] Krishna, N. V., Chintalapati, R., Saxena, P., Soumya, J. Enhancing Functional Coverage Closure in Network-On-Chip Systems with Reinforcement Learning. IEEE Embedded Systems Letters, 2026.
    • [J15] Pattiwar, S. K., Saxena, P., Alay, Ö. PRISM: Proximal Policy Optimization with Deep Reinforcement Learning for Intelligent Scheduling in Multipath QUIC under Heterogeneous and Hybrid 5G/B5G–Satellite Networks. Computer Communications, Elsevier, 2026.
    • [J14] Maganti, P., Saxena, P., Maiti, R. R. Discovering Attack Signature and Its Travel Path using Graphical Model in CPS: A Case Study. ACM Transactions on Cyber-Physical Systems, 2025.
    • [J13] Kumar, P. S., Saxena, P., Alay, Ö. Next-generation DRL empowered actor-critic schedulers for multipath QUIC in 5G vehicular IoT. Internet of Things, Elsevier, 2025.
    • [J12] Mandan, N., Saxena, P., Gupta, M. DRL Empowered On-policy and Off-policy ABR for 5G Mobile Ultra-HD Video Delivery. Mobile Networks and Applications, Springer, 2025.
    • [J11] Chillara, A. K., Saxena, P., Maiti, R. R. USB-GATE: USB-based GAN-augmented transformer reinforced defense framework for adversarial keystroke injection attacks. International Journal of Information Security, Springer, 2025.
    • [J10] Fatima, N., Saxena, P., Giambene, G. Deep reinforcement learning based computation offloading for xURLLC services in UAV-assisted MEC systems. Wireless Networks, Springer, 2024.
    • [J9] Chillara, A. K., Saxena, P., Maiti, R. R. Deceiving supervised machine learning models via adversarial data poisoning attacks. International Journal of Information Security, 2024.
    • [J8] Marisetty, H. V., Fatima, N., Gupta, M., Saxena, P. Resource scheduling and distributed learning in IoT edge computing. Internet of Things, Elsevier, 2024.
    • [J7] Chavali, L., Krishnan, A., Saxena, P., et al. Off-policy actor-critic deep reinforcement learning methods for alert prioritization in intrusion detection systems. Computers & Security, Elsevier, 2024.
    • [J6] Fatima, N., Saxena, P., Giambene, G. Integration of MEC with UAVs: Current techniques and research directions. Physical Communication, Elsevier, 2022.
    • [J5] Agarwal, S., Gudi, R., Saxena, P. Image classification approaches for segregation of plastic waste. Transactions of the Indian National Academy of Engineering, 2022.
    • [J4] Naresh, M., Das, V., Saxena, P., Gupta, M. Deep reinforcement learning-based QoE-aware actor-learner architectures for video streaming in IoT environments. Computing, Springer, 2022.
    • [J3] Saxena, P., Vázquez-Castro, M. Á. Dare: DOF-aided random encoding for network coding over lossy line networks. IEEE Communications Letters, 2015.
    • [J2] Saxena, P., Vázquez-Castro, M. Á. Link-layer systematic random network coding for DVB-S2X/RCS. IEEE Communications Letters, 2015.
    • [J1] Pimentel-Niño, M. A., Saxena, P., Vázquez-Castro, M. Á. Reliable adaptive video streaming driven by perceptual semantics. The Scientific World Journal, 2015.
    Conferences
    • [C20] Shashank, S., Narayane, V. B., Saxena, P., Baheti, A. Design of Multiband Frequency-Modulated GPS Jamming Waveform. 22nd European Radar Conference (EuRAD), 2025, IEEE.
    • [C19] Pattiwar, S. K., Saxena, P., Alay, Ö., et al. Performance Analysis of Multipath QUIC Schedulers for Video Streaming. IFIP International Conference on Network and Parallel Computing (NPC), 2025, IFIP.
    • [C18] Chavali, L., Saxena, P. Multi-critic Deep Reinforcement Learning for Alert Prioritization. International Conference on Advanced Information Networking and Applications (AINA), 38th Edition, 2025, Springer.
    • [C17] Shashank, S., Narayane, V. B., Saxena, P., Baheti, A. Direction Estimation of a Jamming Signal Using an Optimized Direction-Finding Algorithm. IEEE Microwave, Antennas, and Propagation Conference (MAPCON), 2025, IEEE.
    • [C16] Pattiwar, S. K., Saxena, P., Alay, Ö., Griwodz, C., et al. Impact of Latency on User Experience in Immersive Teleoperation. IEEE Smart World Congress (SWC), 2025, IEEE.
    • [C15] Fatima, N., Saxena, P., Giambene, G. Computation Offloading in NTN-empowered MEC using Multi-agent Distributed Deep Reinforcement Learning. IEEE Global Communications Conference (GLOBECOM), 2024, IEEE.
    • [C14] Kumar, S. P., Saxena, P., Alay, Ö. DEAR: DRL empowered actor-critic scheduler for multipath QUIC under 5G/B5G hybrid networks. International Conference on Advanced Information Networking and Applications (AINA), 38th Edition, 2024, Springer.
    • [C13] Naresh, M., Saxena, P., Gupta, M. GRAAB: Gradient Sharing A3C for Adaptive Bitrate Streaming. International Conference on Information Networking (ICOIN), 2024, IEEE.
    • [C12] Chavali, L., Saxena, P., Mitra, B. Knowledge-empowered DRL for alert prioritization in IDS. International Conference on Advanced Information Networking and Applications (AINA), 38th Edition, Springer.
    • [C11] Naresh, M., Saxena, P., Gupta, M. PPO-ABR: Proximal Policy Optimization based DRL for Adaptive Bitrate Streaming. International Wireless Communications and Mobile Computing Conference (IWCMC), 2023, IEEE.
    • [C10] Naresh, M., Saxena, P., Gupta, M. Deep Reinforcement Learning with Importance Weighted A3C for QoE Enhancement in Video Delivery Services. IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2023, IEEE.
    • [C9] Kota, S. et al. INGR Roadmap Satellite Chapter. IEEE Future Networks World Forum (FNWF), 2023, IEEE.
    • [C8] Kumar, S. P., Saxena, P., Fatima, N. Performance Analysis of Multipath Transport Layer Schedulers under 5G/B5G Hybrid Networks. 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2022, IEEE.
    • [C7] Naresh, M., Saxena, P., Gupta, M. SAC-ABR: Soft Actor-Critic based Deep Reinforcement Learning for Adaptive Bitrate Streaming. 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2022, IEEE.
    • [C6] Chavali, L., Gupta, T., Saxena, P. SAC-AP: Soft Actor-Critic based DRL for Alert Prioritization. IEEE Congress on Evolutionary Computation (CEC), 2022, IEEE.
    • [C5] Vázquez-Castro, M. Á., Saxena, P. Network Coding over Satellite: From Theory to Design and Performance. International Conference on Wireless and Satellite Systems (WSS), 2015, Springer.
    • [C4] Saxena, P., Vázquez-Castro, M. Á. Network Coded Multicast and Multi-unicast over Satellite. International Conference on Advances in Satellite and Space Communication (SPACOMM), 2015, Springer.
    • [C3] Saxena, P., Vázquez-Castro, M. Á. Network Coding Advantage over MDS Codes for Multimedia Transmission. International Conference on Personal Satellite Services (PSATS), 2013, Springer.
    • [C2] Pimentel-Niño, M. A., Saxena, P., Vázquez-Castro, M. Á. QoE-driven Adaptive Video with Network Coding. 31st AIAA International Communications Satellite Systems Conference (ICSSC), 2013, AIAA.
    • [C1] Saxena, P., Vázquez-Castro, M. Á. Interference-free Regions with Han-Kobayashi Scheme. 8th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2012, IEEE.
    Technical Reports / RFCs / Standards
    • [T1] Adamson, B. et al. RFC 8406: Taxonomy of Coding Techniques for Efficient Network Communications, IETF, 2018.
    • [T2] Adamson, B. et al. Taxonomy of Coding Techniques for Efficient Network Communications (Internet Draft), 2018.
    • [T3] Adamson, B. et al. Network Coding Taxonomy (Internet Draft), IRTF NWCRG, 2017.
    • [T4] Bilbao, J. et al. NWCRG Internet-Draft (Informational), INRIA, 2018.
    • [T5] Adamson, B. et al. Taxonomy of coding techniques for efficient network communications (tech report), 2018.