Ph.D, MPhil

Dr. Usha Kumari joined Amrita in 2003. She has 18 years of experience in teaching and research. She received her Ph. D. in Mathematics from Cochin University of Science and Technology in 1997. She has an M. Phil. in Statistics from Kerala University. She has qualified CSIR-UGC JRF. Her field of interests include Probability Theory, Stochastic Processes, Operations Research and Statistics.

Dr. Usha is a member of Undergraduate Board of Studies and Board of Studies of Integrated M. Sc. in Mathematics and Physics at Amrita. She has 20 international publications to her credit and 4 papers published in the proceedings and has conducted two national-level workshops, one on Stochastic Processes in 2008 which was sponsored by National Board for Higher Mathematics, and another on Linear Algebra in 2005. She has served as a referee for the Journal of Applied Mathematics & Stochastic Analysis, the Asia Pacific Journal of Operational Research, and the International Journal of Information & Management Systems. She has also presented papers at many international conferences and has been invited to deliver numerous talks.

Dr. Usha ’s academic career started at Union Christian College where she was a lecturer from 1995 to 1998. She subsequently worked as a Research Associate at the Indian Institute of Science, Bangalore (1998-1999) and at Cochin University of Science and Technology (1999-2003) prior to joining Amrita.


Publication Type: Journal Article

Year of Publication Title


P. Rekha, Dr. Maneesha V. Ramesh, P. Venkat Rangan, Dr. Usha Kumari P. V., and Hemalatha, T., “Energy Efficient Data Acquisition Techniques Using Context Aware Sensing for Landslide Monitoring Systems”, IEEE Sensors Journal, vol. 17, pp. 6006-6018, 2017.[Abstract]

Real-time wireless sensor networks are an emerging technology for continuous environmental monitoring. But real-world deployments are constrained by resources, such as power, memory, and processing capabilities. In this paper, we discuss a set of techniques to maximize the lifetime of a system deployed in south India for detecting rain-fall induced landslides. In this system, the sensing subsystem consumes 77.5%, the communication subsystem consumes 22%, and the processing subsystem consumes 0.45% of total power consumption. Hence, to maximize the lifetime of the system, the sensing subsystem power consumption has to be reduced. The major challenge to address is the development of techniques that reduce the power consumption, while preserving the reliability of data collection and decision support by the system. This paper proposes a wavelet-based sampling algorithm for choosing the minimum sampling rate for ensuring the data reliability. The results from the wavelet sampling algorithm along with the domain knowledge have been used to develop context aware data collection models that enhance the lifetime of the system. Two such models named context aware data management (CAD) and context aware energy management (CAE) have been devised. The results show that the CAD model extends the lifetime by six times and the CAE model does so by 20 times when compared with the continuous data collection model, which is the existing approach. In this paper, we also developed mathematical modeling for CAD and CAE, which have been validated using real-time data collected in the past.

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P. Rekha, Dr. Maneesha V. Ramesh, Dr. Usha Kumari P. V., and P. Venkat Rangan, “Energy Sustenance in Context Aware Landslide Monitoring systems”, Sensys 2015, InfoComm2016, 2016.


Dr. Usha Kumari P. V. and Krishnamoorthy*, A., “On the queueing system”, Optimization, vol. 43, pp. 157–168, 1998.


Dr. Usha Kumari P. V. and Krishnamoorthy, A., “On a bulk arrival bulk service infinite service queue”, Stochastic analysis and applications, vol. 16, pp. 585–595, 1998.

Publication Type: Conference Paper

Year of Publication Title


Dr. Usha Kumari P. V., “A retrial Inventory system with an unreliable server”, in International Conference on Operational Research, Sri Venkateswara University,Tirupati, A.P, 2014.


Dr. Maneesha V. Ramesh and Dr. Usha Kumari P. V., “Threshold Based Data Aggregation Algorithm to Detect Rainfall Induced Landslides”, in Proceedings of the 2008 International Conference on Wireless Networks (ICWN’08), 2008, pp. 255-261.


Dr. Usha Kumari P. V. and Krishnamoorthy, A., “On the GIX(u) /G/ α queue”, in 3rd Ramanujam Symp. On Stochastic Processes and their Applications, Ramamijan institute, Madras, 1994.

Publication Type: Conference Proceedings

Year of Publication Title


Dr. Usha Kumari P. V., “ Threshold Based Data Aggregation Algorithm to Detect Rainfall in land Slide”, international Conference on Wireless Networks, vol. 1. pp. 255-261, 2008.[Abstract]

Landslides are one of the environmental disasters that cause massive destruction of human life and infrastructure. Real time monitoring of a landslide prone areas are necessary to issue fore warning. To accomplish real time monitoring, massive amount of data have to be collected and analyzed within a short span of time. This work has developed a method for effective data collection and aggregation by implementing threshold alert levels. The sampling rates of threshold alert levels will determine amount of data collected and aggregated which will reduce the power consumption by each wireless sensor nodes. This work also helps to determine the appropriate sampling rates for each threshold level, and the expected number of data packets in the queue. The time delay in receiving the data packet at the analysis station can be determined by using the value of expected number of data packets in the queue.

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