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Welcome! I am an Associate Professor (Tenured) in the Department of Data Science, Faculty of Computing & Information Technology (ex-PUCIT), University of the Punjab, Lahore Pakistan. I have completed my Ph.D., from the Asian Institute of Technology, master of engineering in computer science from the Asian Institute of Technology, and master of information technology from the Barcelona School of Informatics, Spain.

I have contributed in OpenNebula as part of Google Summer of Code 2010.

Recent Updates

Sept 2022: [Paper] Accepted paper in IEEE Systems Journal
July 2021: [Paper] Accepted paper in IEEE Internet of Things
Oct 2020: [Paper] Accepted paper in IEEE Transactions on Network and Service Management
June 2020: [Paper] Accepted paper in IEEE Systems Journal
May 2020: [Paper] Accepted paper in IEEE Transactions on Service Computing
May 2020: [Organizing Committee] Serving Workshop and Special Session Chair for Smart Data 2020
Jan 2020: [Track Chair] Serving Track Chair for Computing in Societal Automation of SAC2020
Oct 2019: [Paper] Accepted paper in Future Generation Computer Systems
Oct 2019: [Paper] Accepted paper in CloudCom 2019
Sept 2019: [Paper] Accepted paper in IEEE Transactions on Cloud Computing
July 2019: [Paper] Accepted paper in IEEE Transactions on Network and Service Management
May 2019: [Paper] Accepted paper in IEEE Systems Journal
May 2019: [Paper] Accepted paper in IEEE Transactions on Service Computing

Email: waheed.iqbal at pucit.edu.pk

Phone: +92-42-111923923 Extension 418

Office: PUCIT, Allama Iqbal Campus.

Mailing Address: Punjab University College of Information Technology

Allama Iqbal Campus, University of the Punjab, The Mall,

Lahore, Pakistan.

Research Interests

Cloud Computing
Distributed Systems
Big Data
Machine Learning and Text Mining

Technical Expertise

Private Cloud Infrastructure Management using OpenStack, OpenNebula, and EUCALYPTUS
Public Cloud Infrastructure Management using AWS and MAzure
Large Scale System Performance Evaluation
Big Data Tools: Spark, Hadoop, Kafka, HBase, Amazon Elastic Map Reduce (EMR)
Programming languages: Java, C, Ruby, Node.js, Python, PHP
Machine Learning Tools: Weka, Prediction.IO, Amazon Machine Learning, Azure Machine Learning