AMIR ELMISHALIPh.D
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ABOUT

Via Giovanni Paolo II, 132, 84084 Fisciano

BIO

ABOUT ME

AI and data science researcher with 7+ years of experience researching, developing and advising on AI projects. Currently, I am a senior researcher at the Anomaly Detection and Diagnosis (AIDnD) Lab at Ben Gurion University. I received my Ph.D. degree in software and information systems engineering in 2021. My focus is developing and analyzing machine learning and deep learning algorithms to improve software engineering tasks such as bug prediction and detection. I seek a position as a data scientist to grow my career further. My complete CV can be found here.

FACTS

SOME NUMBERS ABOUT ME

920
CUPS OF COFFEE PER YEAR
100+
REVIEWS PER YEAR
2,965
HOURS OF MEETINGS
40+
JOURNAL PAPERS
60+
CONFERENCE PAPERS
50+
THESES (CO-)ADVISED

HOBBIES

... AND OTHER FACTS ABOUT ME

First and foremost, I am a social drinker. Wine, beer, spirits, everything is fine. But, if I can choose, please give me some Campari Spritz - preferably, without sparkly water, just Campari and sparkly wine.

All TV series, especially those telling of political conspiracies (e.g., House of Cards) and supernatural powers (e.g., Fringe), i.e., yes, I like dramas.

A long time ago [... in a galaxy far far away], I used to be a (kind of) professional soccer player. Unfortunately, then I started my Ph.D. and I had to decide which career I should have pursued; Now, whenever possible, I still like to play with friends and collagues.

Since I cannot play soccer so often, I found a less attractive but still useful e-alternative called PlayStation - Fifa is basically the only game I play with. I am not as good and creative as I am in reality, but still...


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EDUCATION

  • 2016
    2021

    Ph.D. in Software and Information Systems Engineering

    Ben-Gurion University of the Negev

    Dissertation: Artificial Intelligence Techniques for Automated Bug Prediction and Detection. Advisors: Prof. Meir Kalech and Prof Roni Stern
  • 2014
    2016

    M.Sc. Software and Information Systems Engineering

    Ben-Gurion University of the Negev

    GPA: 93.06/100 Member of ”Meitar” Excellence Program Started M.Sc during B.Sc Advisors: Prof. Meir Kalech and Prof Roni Stern
  • 2011
    2015

    B.Sc. Software and Information Systems Engineering

    Ben-Gurion University of the Negev

    GPA: 89.05/100 Outstanding Performance Award.
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EXPERIENCE

  • now
    2021

    Postdoctoral Researcher

    Ben-Gurion University of the Negev

    Anomaly Detection and Diagnosis (AIDnD) Lab.
    Researched and advised students in the field of artificial intelligence and software engineering.
  • 2020
    2020

    Ph.D Summer Internship

    Facebook

    Research, design and implementation of a feature recommendation system for data scientists at Facebook.
  • 2019
    2015

    R&D Software Engineer

    8200 Intelligence Unit, IDF

    Development of C++ and Python platform for cyber-security applications for Windows.
  • 2014
    2013

    Research Assistance

    Anomaly Detection and Diagnosis lab, Ben-Gurion University of the Negev

    Research and implementation of software defect classification based on code analysis and repository mining.
  • 2021
    2017

    Teaching Assistant

    Ben-Gurion University of the Negev

    • ”Introduction to Software Engineering” - 2020
    • ”Workshop on Software Engineering Project” - 2021
    • ”Fault Diagnosis in Artificial Intelligence” - 2017 - 2021
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PUBLICATIONS

Journal Articles
2020 Rank: Q2

Diagnosing Software System Exploits

IEEE Intelligent Systems


Elmishali Amir, Stern Roni, and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2018 Rank: Q1

An Artificial Intelligence paradigm for troubleshooting software bugs

Engineering Applications of Artificial Intelligence


Elmishali Amir, Stern Roni, and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

Conference Proceedings
2021 Rank: A

BEIRUT: Repository Mining for Defect Prediction

IEEE 32st International Symposium on Software Reliability Engineering (ISSRE)


Elmishali Amir, Sotto-Mayor Bruno, Roshanski Inbal, Sultan Amit and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2021 Rank: A

Prioritized Test Generation Guided by Software Fault Prediction

IEEE International Conference on Software Testing, Verification and Validation (ICST)


Hershkovich Eran, Abreu Rui, Stern Roni andElmishali Amir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2019 Rank: A*

DeBGUer: A Tool for Bug Prediction and Diagnosis

Proceedings of the AAAI Conference on Artificial Intelligence


Elmishali Amir, Stern Roni, and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2016 Rank: A*

Data-augmented Software Diagnosis

Twenty-Eighth IAAI Conference


Elmishali Amir, Stern Roni, and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

Under Review
2022 Rank: Q2

Issue-Driven Features for Software Fault Prediction

Information and Software Technology


Elmishali Amir and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2022 Rank: A*

Exploring Designite for Smell-Based Defect Prediction

International Conference on Software Engineering (ICSE)


Sotto-Mayor Bruno, Elmishali Amir, Kalech Meir and Abreu Rui.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2022 Rank: Q1

OSCAR : Component-Sensitive Cross-Project Software Fault Prediction

IEEE Transactions on Reliability


Roshanski Inbal, Elmishali Amir and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2022 Rank: Q2

Bugs Assignment for Workload Distribution

Soft Computing


Mordoch Argaman, Natan Avraham, Elmishali Amir and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2022 Rank: A

SeC-GAN: Generative Adversarial Network for Just-in-Time Defect Prediction with Semantic Changes Sensitivity

International Conference on Mining Software Repositories (MSR)


Cohen Shir, Elmishali Amir and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

Workshop Articles
2021 Rank: B

Issue-Driven Features for Software Fault Prediction

International Workshop on the Principles of Diagnosis


Elmishali Amir and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2021 Rank: B

An Artificial Intelligence paradigm for troubleshooting software bugs

International Workshop on the Principles of Diagnosis


Mordoch Argaman, Natan Avraham, Elmishali Amir and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2020 Rank: B

Exploring Designite for Smell-Based Defect Prediction

International Workshop on the Principles of Diagnosis


Sotto-Mayor Bruno, Elmishali Amir, Kalech Meir and Abreu Rui.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2019 Rank: B

Prediction-Guided Software Test Generation

International Workshop on the Principles of Diagnosis


Hershkovich Eran, Abreu Rui, Stern Roni and Elmishali Amir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2019 Rank: B

The Cold Start Problem in Software Fault Prediction

International Workshop on the Principles of Diagnosis


Roshanski Inbal, Kalech Meir, Stern Roni and Elmishali Amir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2018 Rank: B

DeBGUer: A Tool for Bug Prediction and Diagnosis

International Workshop on the Principles of Diagnosis


Elmishali Amir, Stern Roni, and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2017 Rank: B

Diagnosing System Exploits

International Workshop on the Principles of Diagnosis


Elmishali Amir, Stern Roni, and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract

2015 Rank: B

Data-augmented Software Diagnosis

International Workshop on the Principles of Diagnosis


Elmishali Amir, Stern Roni, and Kalech Meir.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study.*

E. Iannone, R. Guadagni, F. Ferrucci, A. De Lucia, F. Palomba.

Abstract. Abstract