• I am an Assistant Professor at the Department of Computer Science, Brock University. My research work is mainly on automated software analysis and performance evaluation of complex software systems in the era of cloud, distributed systems and Internet of Things.

    • My research and my research team - Research
    • Courses that I am teaching - Teaching

    Research

    My research interest consists of-

    • Software Engineering,
    • Software Analysis,
    • Software Debugging,
    • Performance Evaluation,
    • Energy Efficiency

    I am particularly interested in operating system level methods, e.g., execution tracing and profiling, to support the aformentioned topics in the context of IoT, cloud and distributed systems. Currently, I am looking for masters and PhD students, visiting researchers, and postdocs to work with. If your research interests aligns with mine, head over to the “Contact me” page and reach out.

    Latest News

    • Submitted Unveiling Performance Noises via Resource Request Life Cycle-Aware Kernel Event Monitoring; Morteza Noferesti, Ben Grandy, Naser Ezzati-Jivan (Submitted IEEE Transaction on Computing)
    • Submitted Enhancing Empirical Software Performance Engineering Research with Kernel-Level Events: A Comprehensive System Tracing Approach; Morteza Noferesti, Naser Ezzati-Jivan (Submitted Journal of Systems and Software)
    • Submitted ACS-IoT: A CNN-BiLSTM Model for Anomaly Classification on IoT Networks; Yue Guan, Morteza Noferesti, Naser Ezzati-Jivan (Submitted Software Impacts Journal)
    • 2023 August: PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel Events; Mohammed Adib Khan, Morteza Noferesti, Naser Ezzati-Jivan (Accepted SCAM 2023)
    • 2023 September: CNN-BiLSTM-Based Classification of RPL Attacks in IoT Smart Grid Networks ; Yue Guan, Morteza Noferesti, Naser Ezzati-Jivan (Accepted MIDDLEWARE 2023)
    • EMD-SCS: A Dynamic Behavioral Approach for Early Malware Detection with Sonification of System Call Sequences; Raghav Bhardwaj, Morteza Noferesti, Madeline Janecek, Naser Ezzati-Jivan (Accepted TRUSTCOM 2023)
    • 2023 June: Submitted “Detecting OS Noises: A Kernel Event Monitoring Approach for Reliable System Performance”, authored by Ben Grandy, Morteza Noferesti and Naser Ezzati-Jivan, to the ISSRE 2023.
    • 2023 June: Adib and Madeline is going to talk about their ongoing research at the DORSAL, University of Montreal. Find the details here.
    • 2023 May: We have a Post-Doctoral fellow joining our research group from this Spring. Welcome to the team Morteza Noferesti!
    • 2023 May: Submitted “PASD: A Dynamic Performance Analysis Approach Through the Statistical Debugging of Kernel Events”, authored by Mohammed Adib Khan, Morteza Noferesti and Naser Ezzati-Jivan, to the ACSOS 2023.
    • 2023 May: We have “Time-Series Trend-Based Multi-Level Adaptive Execution Tracing for Performance Analysis”, authored by Mohammed Adib Khan and Naser Ezzati-Jivan, published and presented in the 21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2023).
    • 2023 April: Submitted “Towards Efficient Performance Debugging: A Dynamic and Adaptive Execution Tracing Technique”, authored by Mohammed Adib Khan Nasser Ezzati-Jivan, to The Journal of Systems & Software(JSS).
    • 2023 April: Submitted “Lost in Translation: A Data-Driven Approach to Unraveling Log Parsing Errors”, authored by Issam Sedki, Abdelwahab Hamou-Lhadj, Otmane Ait-Mohamed, Naser Ezzati-Jivan and Mohamed Shehab, to the International Conference on Software Maintenance and Evolution (ICSME).
    • 2023 March: Submitted “ACS-IoT: A CNN-BiLSTM Model for Anomaly Classification on IoT”, authored by Yue Guan, Morteza Noferesti and Naser Ezzati-Jivan, to the International Journal of Information Technology.
    • 2023 February: Submitted “B-Perf: Black-box Performance Antipattern Analysis Using System level Execution Tracing”, authored by Morteza Noferesti, Riley VanDonge and Naser Ezzati-Jivan, to the Journal of Software: Evolution and Process.
    • 2023 February: Submitted “EMD-SCS: A Dynamic LSTM-based Approach to Early Malware Detection with Sonification of System Call Sequences”, authored by Raghav Bhardwaj, Morteza Noferesti, Madeline Janecek and Naser Ezzati-Jivan, to the International Journal of Information Security.
    • 2023 February: Our work “Towards a Classification of Log Parsing Errors” with Isaam Sedki, Professor Abdelwahab, and Professor Otmane has been accepted in IEEE ICPC ERA 2023.
    • 2023 February: Three papers with Madeline, Sneh, Tom, Amirmahdi, and Professor Ombuki-Berman have been accepted in ACM ICPE 2023.
    • 2023 June: Adib and Pranjal have presented their respective ongoing research at the DORSAL, University of Montreal. Find the details here.

    Last Year

Naser

Naser Ezzati-Jivan
PhD (University of Montreal)
MSc in Software Engineering (University of Isfahan)
BSc in Software Engineering (Sharif University of Technology)
nezzatijivan@brocku.ca