Research Publications

My research focuses on blockchain technology, distributed systems, cryptoeconomic security, and decentralized AI.

Selected Publications

All Publications

BFT-PoLoc: A Byzantine Fortified Trigonometric Proof of Location Protocol using Internet Delays

A novel protocol for secure geographic location verification in distributed systems. The only protocol at its time to provide spoofing-resistant location.

Proof of diligence: Cryptoeconomic security for rollups

A novel protocol that provides cryptoeconomic security guarantees on computation for blockchain rollups, coprocessors or any compute infrastructure primitive.

ZeroSwap: Data-Driven Optimal Market Making in Decentralized Finance

A novel approach to market making in decentralized finance that optimizes trading strategies using data-driven methods.

Sakshi: Decentralized AI platforms

A framework for building decentralized AI platforms with cryptographic guarantees for privacy and computation integrity.

Trust-free service measurement and payments for decentralized cellular networks

A novel system for secure service measurement and payments in decentralized cellular networks without requiring trust between parties.

Optimal bootstrapping of PoW blockchains

This work presents optimal strategies for bootstrapping proof-of-work blockchains with security guarantees.

Resolving blockchain trilemmas

PhD dissertation examining fundamental trilemmas in blockchain systems and proposing novel solutions.

Free2Shard: Adversary-resistant distributed resource allocation for blockchains

A novel sharding approach for blockchain systems that provides resilience against adaptive adversaries with information theoretic proofs.

Free2Shard: Adaptive-adversary-resistant sharding via dynamic self allocation

Free2Shard sharding protocol with theoretical optimality analysis and systems architecture.

Barracuda: The power of l-polling in proof of stake blockchains

Master's thesis presenting the Barracuda protocol for efficient block propagation in blockchains.

Towards principled objectives for contrastive disentanglement

A novel approach to disentangled representation learning using contrastive methods with theoretical foundations.

Barracuda: the power of ℓ-polling in proof-of-stake blockchains

A novel P2P protocol for blockchains that improves propagation delay and network security.

Communication algorithms via deep learning

This paper demonstrates how deep learning can be used to discover new communication algorithms that outperform traditional methods.

Sharding

An encyclopedia entry explaining sharding techniques in blockchain and distributed systems.

For detailed citation information or to request full-text copies of any publication, please contact me.