University of Nottingham Malaysia
Faculty of Science

Image of Thamil Vaani Arvaree

Thamil Vaani Arvaree

Assistant Professor,


Expertise Summary

My primary research interests are in the fields of software engineering, software quality, software measurements, cloud computing and Internet of Thing. My research is driven by a strong desire to bridge the digital divide and make computing useful.

My research specifically focuses on:

  • Design, analysis, implementation, and experimental evaluation of software engineering field in multiple domains such as cloud, grid computing and web based environment.
  • Designing new computing solutions to address real-world problems

Computer science, as a field, has largely focused on problems relevant to the developed world. The Internet and the World Wide Web have remained largely urban phenomena. Bridging this digital divide requires us to address several important and challenging computer science research problems whose solutions will ultimately have significant impact on global development. Conventional computing solutions are often inappropriate in these emerging contexts due to various contextual factors including lack of infrastructure, limited purchasing power, poor connectivity, limited power, language and literacy issues, and lack of local expertise for managing systems. These unique infrastructure, cost, power and connectivity constraints create several new research challenges which often require a fundamental rethinking in the way we design computing solutions.

Teaching Summary

Teaching Modules

  1. Fundamentals of Programming
  2. Scientific Computing
  3. Fundamentals of Computing

Research Summary

Expand into interdisciplinary fields in Computer Science such as Internet of Things, Website, Neural Network, HCI, and others.

Lately working on STEM applications

Recent Publications

Past Research

Focus on software engineering requirements in cloud computing. Cloud computing is one contemporary technology in which the research community has recently embarked. This paradigm shifts the location of the infrastructure to the network to reduce the costs associated with the management of hardware and software resources. In recent years, the number of cloud service providers is increasing.

Lack of common cloud standards or protocol delays the interoperability across service providers. Moreover, in capabilities of the search engine to match queries with exact result from service provider is the common issue among cloud users. Thus, lead the cloud customers to face challenges and problems in selecting the right service provider who meets their needs.

The objective of the research is to model an approach tha ist able to meet the user's searches for services in cloud environment whereby the search queries entered by the users can be mapped with accurate cloud services. In meeting this objective, there are two prominent activities proposed by this research. The introduction of the search protocol named Collect Desseminate Layer (CDL) to perform the query matching with high accuracy of search results. The proposed protocol evaluate by developing and implementing a search engine named Cloud Keyword Search Engine (CSSE).

  • THAMILVAANI ARVAREE and THINAKARAN PERUMAL, 2021. IoT Based Car Pollution Detection Using Cloud Computing International Journal of Environmental Science and Development,. Vol.12(8), 226-231
  • THAMILVAANI ARVAREE and ANDREA HANJAYA, 2021. Air and Sound Pollution Monitoring System In: International Conference on Electrical and Electronic Engineering 2021.
  • DR.THAMILVAANI ARVAREE @ ALVAR, MS THAGIRARANI and CHONG JIANG BOON, 2017. Mandarin Language Learning System for Nasal Voice User International Visual Informatics Conference. 376-388
  • DR.THAMILVAANI ARVAREE @ ALVAR, MS THAGIRARANI and CHONG JIANG BOON, 2017. Mandarin Language Learning System for Nasal Voice User. In: Lecture Notes in Computer Science: Mandarin Language Learning System for Nasal Voice User 10645. Springer International Publishing AG 2017.
  • DR.THAMILVAANI ARVAREE @ ALVAR, 2016. Collect and Disseminate Layer Protocol for Searching Cloud Services In: Proceedings of the Fourth International Conference on Digital Information Processing, E-Business and Cloud Computing (DIPECC).
  • DR.THAMILVAANI ARVAREE @ ALVAR, MS RAJES RAJOO and MS PATRICIA JAYASREE, 2015. A Comparative Study: Cloud Based E-Learning Architectures Journal Of Applied Sciences Research. 11(24), 74-78
  • THAMILVAANI ARVAREE @ ALVAR and DR RODZIAH ATAN, 2013. Cascading Guided Search Cloud Service Search Engine International Journal Of Computers & Technology: IJCT. 9(10), 1977-1982
  • THAMILVAANI ARVAREE @ ALVAR and DR RODZIAH ATAN, 2012. A Survey on Service Availability and Accessibility Issues in Cloud Environment In: Proceeding of The International Conference on Information Application. 504-509
  • THAMILVAANI ARVAREE @ ALVAR and DR RODZIAH ATAN, 2012. Search Query and Matching Approach of Information Retrieval in Cloud Computing International Journal of Advances in Electrical and Electronics Engineering: IJAEE. 1(2), 2319-1112
  • THAMILVAANI ARVAREE @ ALVAR and DR RODZIAH ATAN, 2011. Algorithm Analyzer to check the efficiency of codes In: Proceeding of 5th International Conference on Information Technology & Multimedia(ICMU).
  • THAMILVAANI ARVAREE @ ALVAR and DR RODZIAH ATAN, 2011. A tool to measure codes in software development using object oriented metrics In: Proceeding of 2nd Software Engineering Postgraduate Workshop (SEPOW).
  • THAMILVAANI ARVAREE @ ALVAR and DR RODZIAH ATAN, 2011. Service Availability And Accessibility Of Requirements Using Clustering In Cloud Environment International Journal on New Computer Architecture and Their Applications: (IJNCAA). 2(3), pg 457-463
  • SHARON ROMEO, SALOMY, SHEILA ILLANGOVAN and THAMILVAANI ARVAREE, Peer Assisted Learning Program (Pal): A Student-Centric Engagement Tool for Foundation Students Psychology And Education. 58(5), 2171-2181

Faculty of Science

University of Nottingham Malaysia
Jalan Broga, 43500 Semenyih
Selangor Darul Ehsan

telephone: +6 (03) 8924 8000
fax: +6 (03) 8924 8018

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