Research

Publications

Selected peer-reviewed publications spanning data-center intelligence, machine learning applications, Big Data workflows, cloud computing, data placement, scheduling, security, and scalable data management.

Recent Research

Recent work includes intelligent data-center management, GPU temperature forecasting, energy-efficient workload scheduling, and applied predictive modeling.

2026
J. Penaojas, K. Salimkhan, M. Fullton, H. Locke, M. Smith, C. Wang, X. Ruan, M. Ebrahimi, and X.-F. Jiang
Thermal-aware Energy-efficient Workload Scheduling for Data Centers

2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA.

2025
M. Fullton, X. Ruan, X.-F. Jiang, and M. Ebrahimi
Reducing Exposure Bias in Deep Learning Models for GPU Temperature Prediction in Data Centers

24th IEEE International Conference on Machine Learning and Applications (ICMLA 2025), Boca Raton, FL, USA.

2024
H. Wang, X.-F. Jiang, and M. Ebrahimi
Scheduled Sampling for Recursive Multi-Step GPU Temperature Forecasting

International Conference on Machine Learning and Applications (ICMLA 2024), Miami, FL, USA.

2024
M. Smith, L. Zhao, J. Cordova, X.-F. Jiang, and M. Ebrahimi
Machine Learning-based Energy-efficient Workload Management for Data Centers

IEEE Consumer Communications & Networking Conference (IEEE CCNC 2024), Las Vegas, NV, USA.

2023
M. Smith, L. Zhao, J. Cordova, X.-F. Jiang, and M. Ebrahimi
Energy-efficient GPU-intensive Workload Scheduling for Data Centers

REU Symposium 2023, Special Session at ICMLA 2023, Jacksonville, Florida.

2023
Mohammad Zarak Shah Ji and Mahdi Ebrahimi
Predictive Modeling of Diabetes Onset and Survival Analysis

21st International Conference on Scientific Computing (CSC), Las Vegas, Nevada, USA.

Big Data, Cloud & Data Systems

Research on Big Data workflows, cloud scheduling, data placement, scalable execution, security, and optimization.

2022
Mahdi Ebrahimi, Seyed Ziae Mousavi Mojab, and Najmeh Najmi
CDAP: A Cultural Algorithm for Data Placement in Big Data Workflows

International Conference on Computational Science and Computational Intelligence (CSCI), pp. 629-634.

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2022
Kyle Astudillo, Mahdi Ebrahimi, and Adam Kaplan
Multi-user Searchable Attribute Based Encryption for Outsourced Big Data

International Conference on Computational Science and Computational Intelligence (CSCI), pp. 708-713.

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2022
Elham Jahanpeikar and Mahdi Ebrahimi
Accuracy Analysis of Supervised and Unsupervised Techniques on Breast Cancer Datasets

International Conference on Computational Science and Computational Intelligence (CSCI), pp. 356-361.

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2019
Seyed Ziae Mousavi Mojab, Mahdi Ebrahimi, Shiyong Lu, and Robert Reynolds
iCATS: Big Data Workflow Scheduling in the Cloud Using Cultural Algorithms

Fifth IEEE International Conference on Big Data Service and Applications (BigDataService), pp. 99-106.

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2019
Darrell M. Wilson, Patrick Nelson, David Scheinker, Susan Pietropaolo, Maria Acevedo-Calado, Mahdi Ebrahimi, Andrea Steck, Jessica L. Dunne, Carla Greenbaum, and Massimo Pietropaolo
898-P: CGM Metrics Identify Dysglycemic States in Subjects with Normal OGTT from the TrialNet Pathway to Prevention Study

Diabetes, 1 June 2019.

2018
Mahdi Ebrahimi, Aravind Mohan, and Shiyong Lu
Scheduling Big Data Workflows in the Cloud under Deadline Constraints

IEEE International Conference on Big Data Computing Service and Applications (BigDataService), pp. 33-40.

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2016
Aravind Mohan, Mahdi Ebrahimi, Shiyong Lu, and Alexander Kotov
Scheduling Big Data Workflows in the Cloud under Budget Constraints

IEEE Scalable Cloud Data Management Workshop, in conjunction with IEEE Big Data, pp. 2775-2784.

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2016
Aravind Mohan, Mahdi Ebrahimi, Shiyong Lu, and Alexander Kotov
A NoSQL Data Model for Scalable Big Data Workflow Execution

IEEE International Congress on Big Data, pp. 52-59.

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2015
Mahdi Ebrahimi, Aravind Mohan, Andrey Kashlev, Shiyong Lu, and Robert Reynolds
Task and Data Allocation Strategies for Big Data Workflows

International Journal of Big Data (IJBD), 2(2), pp. 28-42.

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2015
Mahdi Ebrahimi, Aravind Mohan, Shiyong Lu, and Robert Reynolds
TPS: A Task Placement Strategy for Big Data Workflows

IEEE International Conference on Big Data (BigData), pp. 523-530.

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2015
Mahdi Ebrahimi, Aravind Mohan, Shiyong Lu, and Andrey Kashlev
BDAP: A Big Data Placement Strategy for Cloud-based Scientific Workflows

IEEE International Conference on Big Data Computing Service and Applications (BigDataService), pp. 105-114.

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2015
Aravind Mohan, Mahdi Ebrahimi, and Shiyong Lu
A Folksonomy-Based Social Recommendation System for Scientific Workflow Reuse

IEEE International Conference on Services Computing (SCC), pp. 704-711.

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Ph.D. Dissertation

2017
Mahdi Ebrahimi
Data Placement and Task Mapping Optimization for Big Data Workflows in the Cloud

Wayne State University Dissertations, 1799.

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Presentations

Selected presentations on Big Data workflows, cloud scheduling, data placement, security, and scalable workflow execution.

2017
Mahdi Ebrahimi, Seyed Ziae Mousavi, Aravind Mohan, Shiyong Lu, and Robert Reynolds
CATS: Scheduling Big Data Workflows in the Cloud Using Cultural Algorithms

4th Big Data & Business Analytics Symposium @ WSU, Detroit.

2017
Saeid Mofrad, Mahdi Ebrahimi, Fengwei Zhang, and Shiyong Lu
Securing Big Data Workflows in the Cloud via Intel Software Guard Extensions

4th Big Data & Business Analytics Symposium @ WSU, Detroit.

2016
Mahdi Ebrahimi, Aravind Mohan, and Shiyong Lu
An Efficient Big Data Placement Strategy in Cloud-based Big Data Workflows

7th MidWest Graduate Research Symposium @ University of Toledo.

2016
Mahdi Ebrahimi, Aravind Mohan, Andrey Kashlev, Shiyong Lu, and Robert Reynolds
An efficient task and data placement strategy for running cloud-based big data workflows

2nd SOCIETY 2030 @ University of Michigan, Ann Arbor.

2016
Aravind Mohan, Mahdi Ebrahimi, and Shiyong Lu
A NoSQL Data Model for Running Big Data Workflows in the Cloud

7th MidWest Graduate Research Symposium @ University of Toledo.

2016
Mahdi Ebrahimi, Aravind Mohan, Andrey Kashlev, Shiyong Lu, and Robert Reynolds
An efficient task and data placement strategy for running cloud-based big data workflows

3rd Big Data & Business Analytics Symposium @ WSU, Detroit.

2016
Aravind Mohan, Mahdi Ebrahimi, and Shiyong Lu
A Big Data Platform for running workflows in the Cloud

3rd Big Data & Business Analytics Symposium @ WSU, Detroit.

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