Performance Modeling & Simulation Lab (PMSL)
Welcome to PMSL!!
Our Lab aims on performance modeling and simulation of computer systems, specifically focusing on modern computer communication networks such as Internet of Things (IoT), 5G, Blockchain and Web 3.
The goal of any computer system is to provide the highest performance i.e. quality of service at the lowest cost. Therefore, the performance evaluation and modelling of computer systems is essential and important for their design, manufacturing, sale/purchase, use, upgrade etc. Thus, many diverse systems such as processors, operating systems, networks, knowledge-based systems, intelligent systemsand databases are all subjects of investigation.However, current work in lab is towards
- Building appropriate traffic models for performance analysis of IoT network
- Designing probabilistic models for identification of attacks in IoT while preserving data privacy
- Developing analytical traffic models for 5G communication network
- Performance analysis of blockchain network
- Constructing analytical models for software cost estimation
- Performance evaluation and development of various federated machine learning algorithms
Current Lab members
PhD Scholars
Ph.D. Project:Performance Modeling of IoT Systems: Effect of Heterogeneous Network Traffic
Ph.D. Project:Probabilistic Models of Federated Intrusion Detection in IoT Network
Ph.D. Project: Proactive Social Bot Detection using Adversarial Machine Learning
Alumni
| Sl. No. |
Thesis Title |
Students Name |
Programme |
Year |
|
1 |
Federated Clustering from Distributed Heterogeneous Data |
Tanya Budhiraja |
MSc Computer Science, SAU |
2021-23 Batch |
|
2 |
Performance Analysis of Entropy-based Image Multi-Thresholding Techniques Using Modified SAD Metric |
Abhishek Dhapola |
MSc Computer Science, SAU |
2021-23 Batch |
|
3 |
Efficient Management of Multiple Identities of IoT Devices Using Blockchain |
Santanu Mondal |
MSc Computer Science, SAU |
2021-23 Batch |
|
4 |
Analysis of Efficiency of Federated Learning in Software Defect Prediction |
Sanaullah Sediqe |
MSc Computer Science, SAU |
2021-23 Batch |
|
5 |
Federated Clustering from Distributed Homogeneous Data |
Sargam Gupta, Ph.D. Scholar at Department of Computing Science, Umea Universitet, Umea, Sweden |
MSc Computer Science, SAU |
2020-22 Batch |
|
6 |
Federated Multinomial Logistic Regression Learning Using Homogeneous Data |
Prem Kumar Thakur, Assistant System Engineer, Tata Consultancy Services (TCS), Kolkata, India |
MSc Computer Science, SAU |
2020-22 Batch |
|
7 |
Simulation based Performance Study of Heterogeneous Cloud Data Centers |
Kanwaljeet Singh, Assistant Manager Software Development, TPL Insurance, Karachi, Pakistan |
MSc Computer Science, SAU |
2020-22 Batch |
|
8 |
Horizontal Federating Decision Tree Learning From Data Streams : Building Edge Intelligence in IoT |
Kanishka Arora, Research Analyst, Evalueserve, Gurgaon, India |
MSc Computer Science, SAU |
2019-21 Batch |
|
9 |
Performance Analysis of Text Classification Algorithms: Requirement of Maximum Tsallis Entropy Classifier |
Sher Singh, Software Developer, Embibe, Bangalore, India
|
MSc Computer Science, SAU |
2019-21 Batch |
|
10 |
A Novel Method Using New SAD Metric for Comparing Entropy-based Image Thresholding Techniques: Large-scale Performance Study |
Hadi Mohammad, Pursuing second Master in Robotics Engineering at University of Genoa, Italy |
MSc Computer Science, SAU |
2019-21 Batch |
|
11 |
AHP-PCP: AHP Based Probabilistic Consensus Protocol for Probabilistic Blochchain |
Vikas Singh, Software Engineer, Veritas Technologies, Pune, India |
MSc Computer Science, SAU |
2018-20 Batch |
|
12 |
Simulation based Performance Study of Slotted ALOHA Anticollision Protocol for Mobile RFID Tags Identification |
Abdul Shakoor, Lecturer, HEWAD Private University, Afghanistan |
MSc Computer Science, SAU |
2018-20 Batch |
|
13 |
Data Stream Clustering with Embedded Dimensions on the Fog Nodes |
Obaidullah Ghaswi, Senior Data Management Assistant, UNHCR Sub-Office Kandahar, Afghanistan |
MSc Computer Science, SAU |
2018-20 Batch |
|
14 |
Performance Analysis of Two and Three-Protocol IoT Gateway using Monte-Carlo Simulation |
Sayed Hussainullah Sadat, ITSM Expert, Roshan Connects, Kabul, Afghanistan |
MSc Computer Science, SAU |
2018-20 Batch |
|
15 |
Comparative Study of Performance of Various Entropy Measures in Categorical Data Clustering |
Sonam Pemo, Associate Lecturer, Gyalpozhing College of Information Technology, Royal University of Bhutan, Mongar, Bhutan |
MSc Computer Science, SAU |
2018-20 Batch |
|
16 |
Statistical Analysis of Returns from Crypto currencies |
Kinley Tshering, Associate Lecturer, Gyelpozhing College of Information Technology, Royal University of Bhutan, Bhutan |
MSc Computer Science, SAU |
2018-20 Batch |