Yasaman Amannejad

Mount Royal University

H-index: 9

North America-Canada

About Yasaman Amannejad

Yasaman Amannejad, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Mount Royal University, specializes in the field of Software Engineering, Big Data Analytics, Machine Learning, Performance Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Correction: Systems that evaluate international equivalency in health-related professions: a scoping review with a focus on Canada

Predicting the Performance of DNNs to Support Efficient Resource Allocation

Systems that evaluate international equivalency in health-related professions: a scoping review with a focus on Canada

Pairwise Application Log Classification

Application Identification Using Pairwise Classification

A systematic review of applications of machine learning and other soft computing techniques for the diagnosis of tropical diseases

Using Transfer Learning in Building Federated Learning Models on Edge Devices

PERIDOT: modeling execution time of spark applications

Yasaman Amannejad Information

University	Mount Royal University
Position	Assistant Professor at
Citations(all)	349
Citations(since 2020)	222
Cited By	213
hIndex(all)	9
hIndex(since 2020)	8
i10Index(all)	9
i10Index(since 2020)	7
Email	Access Email
University Profile Page	Mount Royal University
Google Scholar	View Google Scholar Profile

Yasaman Amannejad Skills & Research Interests

Software Engineering

Big Data Analytics

Machine Learning

Performance Engineering

Top articles of Yasaman Amannejad

Title	Journal	Author(s)	Publication Date
Correction: Systems that evaluate international equivalency in health-related professions: a scoping review with a focus on Canada		Mark Lafave Yasaman Amannejad Ulkar Mammadova Breda Eubank	2024/1/31
Predicting the Performance of DNNs to Support Efficient Resource Allocation		Sarah Shah Yasaman Amannejad Diwakar Krishnamurthy	2023/10/30
Systems that evaluate international equivalency in health-related professions: a scoping review with a focus on Canada		Mark Lafave Yasaman Amannejad Ulkar Mammadova Breda Eubank	2023/10/6
Pairwise Application Log Classification		Byron Stuike Yasaman Amannejad	2023/2/13
Application Identification Using Pairwise Classification		Byron Stuike Saba Farshbaf Lame Yasaman Amannejad	2022/10/20
A systematic review of applications of machine learning and other soft computing techniques for the diagnosis of tropical diseases		Kingsley Attai Yasaman Amannejad Maryam Vahdat Pour Okure Obot Faith-Michael Uzoka	2022/11/25
Using Transfer Learning in Building Federated Learning Models on Edge Devices		Jordan Suzuki Saba F Lameh Yasaman Amannejad	2021/11/15
PERIDOT: modeling execution time of spark applications	IEEE Open Journal of the Computer Society	Sarah Shah Yasaman Amannejad Diwakar Krishnamurthy Mea Wang	2021/8/24
Diaspore: diagnosing performance interference in Apache Spark	IEEE Access	Sarah Shah Yasaman Amannejad Diwakar Krishnamurthy	2021/7/19
Analysis of Federated Learning as a Distributed Solution for Learning on Edge Devices		Saba F. Lameh Wade Noble Yasaman Amannejad Arash Afshar	2020
Importance of data analytics for improving teaching and learning methods	Data Management and Analysis: Case Studies in Education, Healthcare and Beyond	Mahmood Moussavi Yasaman Amannejad Mohammad Moshirpour Emily Marasco Laleh Behjat	2020
Building and evaluating federated models for edge computing		Yasaman Amannejad	2020/11/2