Suyash Gupta

I am a Tenure-Track Assistant Professor at the Department of Computer Science, University of Oregon. At UO, I lead Distopia Laboratory and co-lead Oregon Networking Research Group.

My research focusses on designing efficient distributed, decentralized and blockchain systems/databases/networks, and federated learning systems.

News

Publications

Books

Fault-tolerant Distributed Transactions on Blockchain
S. Gupta, J. Hellings and M. Sadoghi
Morgan & Claypool, Synthesis Lectures on Data Management, 2021.


Conferences

Picsou: Enabling Efficient Cross-Consensus Communication
R. Frank, M. Murray, S. Gupta, Q. Xu, C. Tankuranand, J. Yoo, N. Crooks, M. Kapritsos
USENIX Symposium on Operating Systems Design and Implementation (OSDI). 2025.

HotStuff-1: Linear Consensus with One-Phase Speculation
D. Kang, S. Gupta, D. Malkhi, M. Sadoghi
International Conference on Management of Data (SIGMOD). 2025.

Transfer Learning via Latent Dependency Factor for Estimating PM 2.5
S. Gupta, Y. Park, J. Bi, S. Gupta, A. Zufle, A. Wildani, Y. Liu
38th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML PKDD). 2024.

Dissecting BFT Consensus: In Trusted Components we Trust!
S. Gupta, S. Rahnama, S. Pandey, N. Crooks, and M. Sadoghi
18th European Conference on Computer Systems (EuroSys). 2023.

Chemistry behind Agreement
S. Gupta, M. J. Amiri and M. Sadoghi
13th Conference on Innovative Data Systems Research (CIDR). 2023.

Reliable Transactions in Serverless-Edge Architecture
S. Gupta, S. Rahnama, E. Linsenmayer, F. Nawab, and M. Sadoghi
39th IEEE International Conference on Data Engineering (ICDE). 2023.

RingBFT: Resilient Consensus over Sharded Ring Topology
S. Rahnama, S. Gupta, R. Sogani, D. Krishnan and M. Sadoghi
25th International Conference on Extending Database Technology (EDBT). 2022.

RCC: Resilient Concurrent Consensus for High-Throughput Secure Transaction Processing
S. Gupta, J. Hellings and M. Sadoghi
37th IEEE International Conference on Data Engineering (ICDE). 2021.

Proof-of-Execution: Reaching Consensus through Fault-Tolerant Speculation
S. Gupta, J. Hellings, S. Rahnama, and M. Sadoghi
24th International Conference on Extending Database Technology. (EDBT). 2021.

Permissioned Blockchain Through the Looking Glass: Architectural and Implementation Lessons Learned
S. Gupta, S. Rahnama and M. Sadoghi
40th IEEE International Conference on Distributed Computing Systems (ICDCS). 2020.

ResilientDB: Global Scale Resilient Blockchain Fabric
S. Gupta, S. Rahnama, J. Hellings and M. Sadoghi
Very Large Databases (VLDB). 2020.

Q-Store: Distributed, Multi-partition Transactions via Queue-oriented Execution and Communication.
T. Qadah, S. Gupta and M. Sadoghi
23rd International Conference of Extending Database Technology (EDBT), 2020.

Brief Announcement: Revisiting Consensus Protocols through Wait-free Parallelization
S. Gupta, J. Hellings and M. Sadoghi
33rd International Symposium on Distributed Computing (DISC). 2019.

EasyCommit: A Non-blocking Two-phase Commit Protocol
S. Gupta and M. Sadoghi
21st International Conference of Extending Database Technology (EDBT), 2018.

Optimizing Recursive Task Parallel Programs
S. Gupta, R. Shrivastava, and V. K. Nandivada
31st Intenational Conference on Supercomputing (ICS), 2017.


Journals

Efficient and non-blocking agreement protocols
S. Gupta, M. Sadoghi
Distributed and Parallel Database (DAPD). 2019.

IMSuite: A Benchmark Suite for Simulating Distributed Algorithms
S. Gupta and V. K. Nandivada
Journal of Parallel and Distributed Computing (JPDC), Elsevier, 2015.


Selected Articles

Authenticated Concurrent Databases
S. Gupta
International Workshop on High Performance Transaction Systems (HPTS), 2022.

Resilient and Scalable Architecture for Permissioned Blockchain Fabrics
S. Gupta
PhD Workshop, Very Large Databases (VLDB), 2020.

Efficient Transaction Processing in Byzantine Fault Tolerant Environments
S. Gupta, J. Hellings, T. Qadah, S. Rahnama and M. Sadoghi
International Workshop on High Performance Transaction Systems (HPTS), 2019.

Blockchain Transaction Processing
S. Gupta, M. Sadoghi
Encyclopedia of Big Data Technologies. Springer, Cham, 2018.


Preprints

Picsou: Enabling Efficient Cross-Consensus Communication
R. Frank, M. Murray, S. Gupta, Q. Xu, N. Crooks, and M. Kapritsos
under review, 2023.

Tutorials

Building High Throughput Permissioned Blockchain Fabrics: Challenges and Opportunities
S. Gupta, J. Hellings, S. Rahnama and M. Sadoghi
46th International Conference on Very Large Databases (VLDB), 2020.

Blockchain consensus unraveled: Virtues and Limitations
S. Gupta, J. Hellings, S. Rahnama and M. Sadoghi
14th ACM International Conference on Distributed and Event-Based Systems (DEBS), 2020.

An In-Depth Look of BFT Consensus in Blockchain: Challenges and Opportunities.
S. Gupta, J. Hellings, S. Rahnama and M. Sadoghi
Middleware Tutorials (MIDDLEWARE), 2019.


Demonstrations

Scalable, Resilient and Configurable Permissioned Blockchain Fabric
S. Rahnama, S. Gupta, T. Qadah, J. Hellings and M. Sadoghi
46th International Conference on Very Large Databases (VLDB), 2020.

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About Me

I am a Tenure-Track Assistant Professor at the Department of Computer Science, University of Oregon. At UO, I lead Distopia Laboratory and co-lead Oregon Networking Research Group (ONRG). My research focusses on designing efficient distributed, decentralized and blockchain systems/databases that can handle arbitrary failures and can scale across the WAN.

Prior to joining UO, I was a Postdoctoral Scholar at SkyLab, University of California, Berkeley. where I worked with Dr. Natacha Crooks. Even before, I was awarded Ph.D. degree at Department of Computer Science, University of California, Davis. I also served as the Lead Architect for ResilientDB, which I founded during my Ph.D at UC Davis.

I was awarded Best Graduate Researcher Award by UC Davis for my thesis, titled, Resilient and Scalable Architecture for Permissioned Blockchain Fabrics. During my Ph.D. I also authored a book titled, Fault-Tolerant Distributed Transactions on Blockchain, which was published by Morgan & Claypool as part of Synthesis Lectures on Data Management (also available now with Springer).

I started my PhD at Purdue University in August 2015 and transferred to University of California Davis in January 2018. At UC Davis, I was advised by Dr. Mohammad Sadoghi. Prior to moving to UC Davis, I earned couple of master degrees. I was awarded Master of Science in Computer Science by Department of Computer Science at Purdue University in December 2017. During my time at Purdue, I also worked with Prof. Suresh Jagannathan in the domain of Distributed Systems and Programming Languages, and was associated with the PurPL and SIAM.

In more distant past, I worked with Dr. V. Krishna Nandivada at Indian Institute of Technology Madras. At IIT Madras, I was awarded Master of Science (Research) from the Department of CSE. My masters thesis led to several publications and was titled as Analyzing Recursive Task Parallel Programs..

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