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Email verificeret.
quetta,
pakistan
Det er i øjeblikket 12:21 PM her
Tilmeldt juli 28, 2010
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Muhammad Waseem C.
@MWShan
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quetta,
pakistan
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Genansættelsesrate
Software Engineer
Kontakt Muhammad Waseem C. omkring dit job
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Portfolio-mappe
Portfolio-mappe
Hosting and domain service website
Hosting and domain service website
Anmeldelser
Ændringer gemt
Ingen anbefalinger at se her!
Erfaring
Research Assistant
mar. 2017 - feb. 2019 (1 år, 11 måneder)
Research Assistant in a research entitled: “Optimization framework for Life Cycle Cost of Green Residential New Construction (GRNC)” using PHP programming at Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM).
Prototype Programmer (PHP)
dec. 2014 - maj 2015 (5 måneder, 1 dag)
Prototype programming and research analysis work in a project entitled: “Web-application on Life Cycle Costing (LCCA) analysis for green building” at Faculty of Civil Engineering, Universiti Teknologi Malaysia (UTM).
PHP Web Developer
dec. 2008 - sep. 2011 (2 år, 9 måneder)
I have done my PHP Development job with 4 companies from Dec-2008 to Sept-2011 in Islamabad, Pakistan.
The companies are:
1. Innovative Research e-Solution (Pvt.) Ltd.
2. Ooober (Pvt.) Ltd.
3. Microsol Technologies (Pvt.) Ltd.
4. Bizexcel (Pvt.) Ltd.
Uddannelse
Master of Science in Software Engineering
(2 år)
Bachelor of Computer Science
(4 år)
Publikationer
Low-rated Users Recommendation Issue Using Neighborhood Personalized Profile Similarities
Advanced Approaches to Intelligent Information and Database Systems (SpringerLink)
Publication Title:
A Goal-Based Hybrid Filtering for Low-rated Users Recommendation Issue Using Neighborhood Personalized Profile Similarities in E-Learning Recommendation Systems
Link: https://link.springer.com/chapter/10.1007/978-3-319-05503-9_11
Short systematic review on e-learning recommender systems
Journal of Theoretical and Applied Information Technology (Scopus)
This paper reviews the landscapes of current state-of-art recommender systems in e-learning environment. The review of domain and previous research improvement provide timely and useful insight about recommender systems and cold-start issue in e-learning recommendation system domain.
Link: http://www.jatit.org/volumes/fiftyseventh_2_2013.php
E-Learning Recommender Systems Based on Goal-Based Hybrid Filtering
International Journal of Distributed Sensor Networks (Hindawi)
The proposed work has been used to analyze the personalized similarities between learner's profile preferences in e-learning recommender systems collaboratively.
Link: https://www.researchgate.net/publication/274073652_E-Learning_Recommender_Systems_Based_on_Goal-Based_Hybrid_Filtering
A knowledge-based expert system for assessing the performance level of green buildings
Knowledge-Based Systems (Elsevier)
This paper proposed a knowledge-based expert system as a tool to assess the performance level of a green building based on assessment factors of green building rating systems.
Link: https://www.sciencedirect.com/science/article/abs/pii/S0950705115002270
Kontakt Muhammad Waseem C. omkring dit job
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