Archanaa R. serves as an Assistant Professor in the Department of Computer Science at School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore. Her research interest include Machine Learning, Wireless Sensor Networks and speech Processing. She is currently pursuing Ph.D in the area of speech processing. She has guided many student projects at the undergraduate level and published papers in various International conferences and Journal.


  • 2018: Ph. D.(Pursuing)
    School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore
  • 2011 - 2013: M. Tech.
    School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore
  • 2008 - 2011: B. Tech. 
    Institute of Road and Transport Technology,  Anna University, Coimbatore

Courses Taught

  1. Database management systems
  2. Problem solving and C programming
  3. Net centric Programming
  4. Java Programming
  5. Computer Networks
  6. Design and Analysis of Algorithm
  7. Wireless and Mobile Communication
  8. Computation Thinking and Problem Solving


Publication Type: Conference Paper

Year of Publication Title


Archanaa R., Nivetha, D., Anjalikumari, T., Preethikka, B., and M.V.K. Kiran, “A thrifty approach to the bus bunching problem”, in Proceedings of IEEE International Conference on Signal Processing and Communication, ICSPC 2017, 2018, vol. 2018-January, pp. 191-195.[Abstract]

The bus bunching problem explains one of the most common problems faced by the individuals in major cities who are travelling by bus for their daily commute. We often come across situations where we wait for a bus for a longer duration and buses won't turn up and suddenly we can see a bunch of same numbered busses coming together. Due to this uneven pattern in bus arrivals, most of the people tend to board a bus which is heavily crowded and later they may find a bus following the same route carrying very few passengers. In this scenario, we see that the buses are unevenly distributed with passengers. Our proposal is to solve this bunching problem by providing an Android application to the passengers. The application keeps the passengers updated of all the buses coming via their current location with the estimated arrival time and count of passengers in each bus. The android application takes in data from the server and provides information of the bus and helps in a hassle-free transit. © 2017 IEEE. More »»


Archanaa R., Athulya, V., Rajasundari, T., and M.V.K. Kiran, “A comparative performance analysis on network traffic classification using supervised learning algorithms”, in 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS), 2017.[Abstract]

Network traffic classification has become vital due to the increased flow of web traffic from services like HTTP, FTP, and SMTP etc. The idea of Network traffic classification is to categorize the network traffic and regulate the flow of data in the network there by monitoring the traffic. In this paper, a comparative analysis of different supervised learning algorithms like Ensemble learning methods, Trees, Bayes method are done and results are examined. To select the most reliable features, wrapper method-classifier subset evaluation feature selection method is used. From the analysis results of different algorithms, decorate algorithm which belongs to the ensemble classifiers performs better than other algorithms. More »»

Publication Type: Journal Article

Year of Publication Title


M.V.K. Kiran, Vimalkumar, K., Vinodhini, R. E., and Archanaa R., “An early detection-warning system to identify speed breakers and bumpy roads using sensors in smartphones”, International Journal of Electrical and Computer Engineering, vol. 7, pp. 1377-1384, 2017.[Abstract]

Speed breakers and bumpy roads are a major threat to drivers that questions their safety. The mishap happens because of no sign boards indicating the speed breaker, poor visibility at night and road works that are often carried out with no proper signs of road deviations and also the negligence of the driver. All these factors put the life of the persons in vain causing damage to the vehicle as well as life. Bumpy roads have become a problem for cars with less ground clearance. The focus of the paper is on designing an early warning system detecting both speed breakers and bad road conditions. The approach used in this paper is a real-time solution and is developed as an android service that runs in the background and relies on Google Maps application in the smartphone. This service will throw an alert giving early warning if the user is approaching the speed breaker or a bumpy road. Apart from just giving an early alert to the user, it also provides the user with an alternative and a better route. The solution proposed in this work is a form of crowdsourcing where users share and get data, therefore making the system cost effective. © 2017 Institute of Advanced Engineering and Science.

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, Kartik, S., Mohammed, R., Sailusha, R., F., H., and Archanaa R., “Personalised Tourism Mobile Application using Semantic Web”, International Journal of Software and Web Sciences, vol. 2, 2014.[Abstract]

Owing to the varied interests of tourists visiting a place, listing out all possible places of interests in a particular city can be very tedious. As a result, providing assistance to tourists to visit their places of interest in an efficient manner has been highly sought after. Besides, the number of people who use smart phones is also on the rise. As a way of taking advantage of the same, this project focuses on creating a personalized Android mobile tourism application using Semantic Web. This is achieved by creating a personalised profile for the user. This profile is used to suggest places that he/she can visit based on his current location and interest as opposed to the current systems which display all possible locations based on his previous search histories

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Publication Type: Conference Proceedings

Year of Publication Title


Archanaa R., “Integrated Heterogeneous Wireless Interfaces with F-xTEA for Enhancing Reliability and Security of Wireless Personal Medical Devices.”, International Journal on Recent Trends in Engineering & Technology . 2014.

Faculty Research Interest: