About

Mohammad Javad Amiri is an Assistant Professor at Stony Brook University and the director of the SeeMoRe Research Group. His research lies at the intersection of data management and distributed systems, with a particular focus on distributed transaction processing and consensus protocols. The group under his leadership explores various aspects of scalable distributed systems, especially in untrustworthy environments, and addresses challenges related to permissioned blockchains, order-fairness in Byzantine Fault Tolerant (BFT) consensus protocols, and privacy-preserving enforcement of regulations in multi-enterprise systems. Professor Amiri's work also includes developing adaptive distributed transaction processing systems and unified platforms for BFT protocol analysis, implementation, and evaluation. His research contributions are reflected in numerous accepted papers and awards, including outstanding paper recognitions and tutorials at major conferences such as SIGMOD, VLDB, and NSDI.

Research topics

• Computer Science
• Computer Security
• Risk analysis (engineering)
• Distributed computing
• Business
• Data science
• Database

Selected publications

• Environmental educator initiatives to promote outdoor education in middle east

  Research Square · 2026-04-24

  preprintOpen accessSenior author
  PublisherOA PDFDOI

• Verifiability

  Synthesis lectures on data management · 2025-06-10

  book-chapter1st authorCorresponding
  PublisherDOI

• Introduction

  Synthesis lectures on data management · 2025-06-09

  book-chapter1st authorCorresponding
  PublisherDOI

• Identifying priority areas for conservation based on the evaluation of ecological network resilience in the Hyrcanian Forest ecosystem

  Integrated Environmental Assessment and Management · 2025-01-06 · 4 citations

  article

  Habitat loss and fragmentation in forest ecosystems are serious threats that lead to reduced resilience. The integrity and stability of the ecosystem are fostered by recognizing and protecting areas that are essential to maintaining the resilience of the ecological network. Research in the field of ecological network resilience has garnered attention in recent years, although the necessity of developing various assessment methods for network resilience is evident. Taking the Hyrcanian Forest ecosystem as a case study, this research aimed to identify the most important areas of the ecological network in maintaining and enhancing the resilience. To achieve this goal, first, a combination of the morphological spatial pattern analysis method and the assessment of the significance of ecosystem services was used to extract ecological source areas. Next, utilizing circuit theory and the least-cost path method, a network connecting sources was constructed, and pinch points were identified. After that, high-risk areas in ecological sources were found using the habitat risk assessment method. Using this integrated approach leads to the identification of valuable areas that are vulnerable to human threats and disturbances. Finally, the node removal method coupled with the calculation of network resilience indices, connectivity, and efficiency was employed to prioritize conservation areas. The results of the study indicated that the most important nodes were located in the northern edges of the forest, which have been under threat in recent years. Additionally, the region ranked moderately in terms of connectivity, indicating the importance of focusing on the conservation of forest patches before the complete fragmentation of the area. Furthermore, our findings underscore the importance of considering landscape connectivity and ecological network resilience in conservation planning for policymakers and managers aiming to protect biodiversity in the Hyrcanian Forest ecosystem.

  PublisherDOI

• Preliminaries

  Synthesis lectures on data management · 2025-06-09

  book-chapter1st authorCorresponding
  PublisherDOI

• Generalized Confidentiality

  Synthesis lectures on data management · 2025-06-09

  book-chapter1st authorCorresponding
  PublisherDOI

• Conclusion

  Synthesis lectures on data management · 2025-06-09

  book-chapter1st authorCorresponding
  PublisherDOI

• An Analysis of Eco-Emotions Among Iranian Students in Environmental Education

  International Journal of Environmental Research · 2025-12-20 · 1 citations

  article
  PublisherDOI

• Blockchain-Enabled Large-Scale Transaction Management

  Synthesis lectures on data management · 2025-06-09

  bookOpen access1st authorCorresponding
  PublisherOA PDFDOI

• Performance

  Synthesis lectures on data management · 2025-06-09

  book-chapter1st authorCorresponding
  PublisherDOI

Frequent coauthors

• Divyakant Agrawal

  Chhattisgarh Kamdhenu Vishwavidyalaya

  31 shared

• Amr El Abbadi

  University of California, Santa Barbara

  29 shared

• Boon Thau Loo

  18 shared

• Tristan Allard

  9 shared

• Chenyuan Wu

  California University of Pennsylvania

  8 shared

• Sujaya Maiyya

  8 shared

• Joris Duguépéroux

  Université de Rennes

  8 shared

• Saeed Parsa

  7 shared

Labs

• SeeMoRe Research GroupPI

  Focuses on distributed transaction processing and consensus protocols

Education

• PhD, Computer Science

  University of California Santa Barbara

  2020

• MS, Computer Engineering

  Iran University of Science and Technology

  2013

Awards & honors

• NSDI 2024 Outstanding Paper Award