Md Tariqul Islam 'Pavel'
Assistant Professor of Trustworthy Cyberspace
School of Information Studies (iSchool) | Syracuse University
mailmtislam [at] syr.edu
apartment323C Hinds Hall, Syracuse University, Syracuse, NY 13244
schoolGoogle Scholar
Md Tariqul Islam ‘Pavel’ is an Assistant Professor of Trustworthy Cyberspace in the School of Information Studies at the Syracuse University. Pavel received his bachelor’s degree (2008) in Computer Science and Engineering from the University of Dhaka, Bangladesh. He earned his master’s (2016) and Ph.D. (2020) in Computer Science from the University of Kentucky. Pavel’s work in general focuses on the security and fault tolerance of distributed computing systems. His aim is to devise novel schemes, algorithms, and protocols that support the development of secure, reliable, and trustworthy distributed networks (e.g., cloud, edge, and vehicular networks). His research supports these undertakings, and he always thrives to design and deliver practical approaches to problems being experienced in industry or society. Other than the above areas, Pavel would also like to investigate new research topics in closely related areas such as, mobile cloud, sensor network, software-defined network, Internet of things (IoT), and block chain-based distributed systems.
| News and Updates
- [December 2024] 4 new papers on secure smart contract upgrades, blockchain authentication, and collaborative proof-of-work have been accepted at TrustCom 2024, CCNC 2025, and CCWC 2025.
- [August 2024] Welcome Tahrim Hossain to our SPADES Lab as the newest PhD student, excited for the collaborations ahead!
- [August 2024] Two of our works related to securing PoS and impact of contention in blockchain has been accepted to GLOBECOM 2024.
- [June 2024] Our work on maximizing blockchain performance using dependency manager and parallel processing has been accepted to BLOCKCHAIN 2024.
- [January 2024] Our work on enhancing cloud data storage auditing using an improved B-tree has been accepted to ICC 2024
- [January 2024] Our work-in-progress paper titled 'MRL-PoS: A Multi-agent Reinforcement Learning based Proof of Stake Consensus Algorithm for Blockchain' got the best paper award at IEEE CCWC 2024
- [December 2023] Our work on a multi-agent reinforcement learning-based proof of stake consensus algorithm for blockchain has been accepted to CCWC 2024.
- [October 2023] Our paper on a fault-tolerant and storage-efficient cloud solution (FASTEN) balancing replication and deduplication, has been accepted to CCNC 2024. Also our work on ConChain, a contention-free and attack-resilient blockchain scheme, has been accepted as a poster at CCNC 2024.
- [August 2023] Our work on a secure and efficient auditing framework supporting data integrity and file version control in the cloud has been accepted to GLOBECOM 2023
- [June 2023] Our work of application failure characteristics and user behaviors using Google Cluster Workload Traces has been accepted to FiCloud 2023.
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Last updated on December 6, 2024
Last updated on December 6, 2024