Hannah B. Pasandi
Research Scholar Fellow | UC Berkeley Sky Computing Lab
Research Scholar Fellow
Research Scholar Fellow | UC Berkeley Sky Computing Lab
I am a wireless and networked systems researcher currently serving as a Research Scholar Fellow at UC Berkeley's Sky Computing Lab, where I contribute to the SkyPilot project with Professor Ion Stoica. I have been fortunate to work with exceptional researchers throughout my journey: Prof. Tamer Nadeem at Virginia Commonwealth University during my PhD, Prof. Sylvia Ratnasamy and Prof. Scott Shenker at UC Berkeley's NetSys Lab, Dr. Juan A. Fraire and Prof. Hervรฉ Rivano at INRIA Lyon, Prof. Franck Rousseau at LIG Lab (Universitรฉ Grenoble Alpes), Prof. Gil Zussman at Columbia University's Wireless and Mobile Networking Lab, and industry leaders at Qualcomm, Skylark Wireless LLC, and Bell Labs.
My work lies at the intersection of networked systems, wireless communication, distributed learning, and formal verification. My research focuses on developing techniques that enable systems to anticipate future conditions and adapt proactively rather than reactively while maintaining mathematical guarantees about performance, security, and reliability. I introduced the principle of predictive adaptation with formal guarantees: exploiting predictability in orbital mechanics, traffic patterns, and wireless dynamics to transform infrastructure from reactive to proactive systems that prevent problems before they occur. My current work focuses on developing techniques and tools that enable engineers to build adaptive systems with well understood safety and performance properties, spanning predictive datacenter networks, space terrestrial integration, privacy preserving and safe learning based protocols.
Together with my twin sister Haniyeh Pasandi, I co-founded Liminal Systems Research, an interdisciplinary initiative exploring systems at the boundaries of technology and humanity, bridging networked infrastructure with human centered computing to address challenges at transitional thresholds.
My research bridges theory with practice through large scale deployments: MU-MIMO schedulers serving millions of 5G users at Skylark Wireless (23% spectral efficiency improvement), Wi-Fi 7 protocols integrated into Qualcomm's commercial chipsets, carbon aware schedulers adopted by major cloud providers, and open source tools (SimSAT, SATMetrics) accelerating satellite communications research globally.
My research has been generously supported by the Schlumberger Foundation, NCWIT Collegiate Award, and HIDA (Helmholtz Information and Data Science Academy).
Our paper "CacheCatalyst" has been accepted to USENIX NSDI 2025.
Our paper "Balancify" won Best Paper Award and Best Contribution Award at ACM Student Workshop CoNEXT 2025.
Co-chaired ACM CoNEXT Student Workshop and gave a talk on "AI for Networks and Networks for AI".
Our three papers were presented at MobiCom'25.
Invited as Young Researcher to the 10th HLF in Germany.
Research on datacenter microbursts accepted to ACM SIGMETRICS 2025.
Received Best Paper Award for "Role of Machine Learning in Satellite IoT".
Talk on "Privacy and Security Challenges in Space Terrestrial Networks".
Delivered talks at IEEE S&P, USENIX SOUPS/Security, Microsoft BlueHat, and MSR on 5G privacy.
Received grant from Helmholtz Information and Data Science Academy, Germany.
LEO satellite IoT systems enabling ubiquitous connectivity. Protocol design exploiting orbital mechanics for scalable D2D architectures.
User identity and location privacy in 5G/6G and space terrestrial systems. Privacy preserving protocols with formal guarantees.
ML inference and training on resource constrained edge devices. Efficient neural architectures and federated learning.
Reinforcement learning for autonomous MAC and network protocol design. Systems that learn optimal strategies from feedback.
QoE optimization for multi user video streaming. MU-MIMO scheduling, adaptive bitrate, and VR/AR streaming.
Interested in collaboration, research discussions, or speaking opportunities?