Qualification: 
Ph.D
nirmalav@am.amrita.edu

Dr. Nirmala Vasudevan currently serves as Associate Professor at Amrita Center for Wireless Networks and Applications (AmritaWNA). Her areas of Interest include Landslides, Neutrino Phenomenology, Supersymmetry and Grand Unification.

DATE AND YEAR OF JOINING:

Amrita Vishwa Vidyapeetham

18 December 2006
WINSOC project 9 July 2007 

PHONE NUMBER : (91) 944 749 8832

PUBLICATIONS:

The Deployment of Deep-Earth Sensor Probes for Landslide Detection. In Press: Landslides DOI: 10.1007/s10346-011-0300-

Neutrino Phenomenology of Very Low-Energy Seesaws. Published in Phys. Rev. D 75: 013003, 2007.

The Phase Transition SUSY SU(5) → SUSY SU(3) × SU(2) × U(1). Ph.D. Thesis

Publications

Publication Type: Conference Paper

Year of Publication Publication Type Title

2020

Conference Paper

M. Haridas, Dr. Nirmala Vasudevan, Gutjahr, G., Raghu Raman, and Prof. Prema Nedungadi, “Comparing English and Malayalam Spelling Errors of Children using a Bilingual Screening Tool”, in Fourth International Congress on Information and Communication Technology, Singapore, 2020.[Abstract]


Despite the high prevalence of reading disabilities among Indian children, many school teachers are not adept at identifying and assessing these difficulties. Screening tools for reading disabilities are available in English but are unavailable in many Indian languages. Reading disabilities manifest differently depending on the characteristics of the language being studied. This paper compares reading difficulties that arise when studying English and Malayalam. In a previous study, we designed a bilingual screening test in English and Malayalam and tested it with 135 school children in Kerala. In the current study, the screening test was modified in light of the findings from our previous study. We administered our updated bilingual screening test to 25 second grade children, ages 7–8, who were studying at two other schools in Kerala. Student errors were classified into multiple categories. Similarities and differences between errors in English and Malayalam were identified, and the errors that were specific to Malayalam were analyzed in further detail. More »»

2019

Conference Paper

M. Haridas, Dr. Nirmala Vasudevan, Gayathry, S., Gutjahr, G., Raghu Raman, and Prof. Prema Nedungadi, “Feature-Aware Knowledge Tracing for Generation of Concept-Knowledge Reports in an Intelligent Tutoring System”, in 2019 IEEE Tenth International Conference on Technology for Education (T4E), 2019.[Abstract]


In many Indian schools, a high student-teacher ratio makes it an uphill struggle for teachers to assess the knowledge of individual students and deficiencies in the students' understanding. Teachers should have a clear picture on what concepts each student has mastered, and which concepts the teacher needs to review in greater detail. This paper investigates the students' concept knowledge, based on the interaction of the students with an intelligent tutoring system. The Feature-Aware Student knowledge Tracing (FAST) algorithm was used, since the algorithm facilitates the separation of lesson-specific skills from concept knowledge. Data from 2400 first-grade students from 28 schools were used for the analysis. Findings include a moderate fit model and an easy interpretation of the model parameters.

More »»

2019

Conference Paper

M. Haridas, Dr. Nirmala Vasudevan, Sasikumar, L., Gutjahr, G., Raghu Raman, and Prof. Prema Nedungadi, “Inter-Rater Reliability of a Dyslexia Screening Test”, in 2019 IEEE Tenth International Conference on Technology for Education (T4E), 2019.[Abstract]


A standardized dyslexia screening test can help in identifying the vast number of undiagnosed dyslexics in Indian schools; needless to say, such a test should produce consistent and reproducible results. This study investigated reliability and consistency among raters of a Malayalam-English dyslexia screening in India. Paper-based tests were administered to groups of students, and four raters evaluated the answer sheets of 208 second-grade students (ages 6-7). Inter-rater agreement, intraclass agreement, and internal consistency were calculated. Our findings include good agreement among raters' appraisals for most error types and tasks. Internal consistency for a few tasks was low, possibly because these tasks evaluated more than one skill. A few error types need to be redefined and a few tasks need to be more skill-specific to enable unambiguous and fruitful interpretation by different raters in the future. More »»

2016

Conference Paper

Dr. Nirmala Vasudevan and Ramanathan, K., “Geological factors contributing to landslides: Case studies of a few landslides in different regions of India”, in IOP Conference Series: Earth and Environmental Science, 2016, vol. 30.[Abstract]


Landslides - mass movements of rock, debris or earth down a slope - are worldwide phenomena which cause significant damage and an estimated 5000 fatalities each year. They are caused by the interplay of various natural and anthropogenic factors and occur under diverse geoenvironmental conditions. In India, landslides occur primarily in the Himalayas of North India and in the Western Ghats of South India. This paper reports the results of field investigations for six landslide sites in North, Northeast and South India. We provide explanations as to why several landslides occurred at each of the sites. Our goal is to gain a deeper insight into the causes and precursors of landslides, which will facilitate more accurate identification of landslide-prone locations and enable early detection of landslide events. © Published under licence by IOP Publishing Ltd.

More »»

Publication Type: Journal Article

Year of Publication Publication Type Title

2012

Journal Article

Dr. Maneesha V. Ramesh and Dr. Nirmala Vasudevan, “The Deployment of Deep-earth Sensor Probes for Landslide Detection”, Landslides, vol. 9, pp. 457-474, 2012.[Abstract]


In this paper, we present a state-of-the-art wireless sensor network (WSN) of deep-earth probes (DEPs) that has been deployed to monitor an active landslide in the Western Ghats mountain range of South India. While India has one of the highest incidences of landslides and landslide-induced fatalities-primarily in the Himalayas of North India and in the Western Ghats of Central and South India-our study is perhaps the first comprehensive attempt to instrumentally detect landslides in the Western Ghats. Wireless networks have enabled us, since June 2009, to continuously monitor the deployment site in real time and from anywhere around the globe. There have been a few earlier landslide monitoring WSNs using accelerometers in Emilia Romagna Apennines, Italy; global navigation satellite system (GNSS) sensors to monitor the Hornbergl landslide, Austria; and vibrating wire stress sensors to monitor a slope in China. We improved upon these WSN systems by incorporating a variety of sensors-piezometers, dielectric moisture sensors, strain gauges, tiltmeters, a geophone, and a weather station-and installing some of these sensors as deep as 20 m below the ground surface. We present the salient aspects of the field deployment of DEPs: the selection of sensors and their incorporation in DEPs, the methodology we used in embedding these DEPs into the soil, and a few of the key aspects of the wireless sensor network. We also present a description of the deployment site and some of the results of geotechnical investigations carried out on borehole corings. Finally, we present the more interesting field data collected from the monitoring system during a rainy season in July and August 2009. © 2011 Springer-Verlag.

More »»

2009

Journal Article

Dr. Maneesha V. Ramesh, Dr. Nirmala Vasudevan, and Freeman, J., “Real Time Landslide Monitoring via Wireless Sensor Network”, vol. 11, p. 14061, 2009.[Abstract]


Rainfall induced landslides are a common phenomena in the Western Ghat region of Southern India and result in numerous fatalities and damage to property. In order to collect the most relevant and useful data, at the time it is most needed, a wireless sensor network is being used for landslide monitoring. The advantage it gives to landslide monitoring is that it is an inexpensive and reliable way to communicate rapidly over a long distance and inhospitable terrains, collect data in real-time, and alter the data collection rate remotely to suit current environmental conditions. We have implemented a real time landslide monitoring system over a seven acre active complex landslide site. An array of geological sensors (piezometers, tiltmeters, strain gauges, rain gauges, dielectric moisture sensors, geophones) has already been deployed and the data is being automatically collected and forwarded via the wireless sensor network. The geotechnical data is then transferred over 300 km via a satellite link to a remote monitoring station for further analysis. This will give us a better understanding of landslides in this region and prevent the loss of human life.

More »»