Ashalatha is a doctoral student at Mälardalen University since December 2015. She is also a memebr of the Doctoral Student Council at Mälardalen University.
She has her Master Degree in Embedded Systems from Amrita Vishvavidyapeetham University, India (2011-2013) . Her bachelor degree is in Electronics and Communication from Mahatma Gandhi University, India (2007-2011).
Ashalatha's research interests include Ambient Intelligence, Formal Modelling and Analayis of Embedded Systems, Assisted Living Technologies, and Cyber Physical Systems.
Assuring Intelligent Ambient Assisted Living Solutions by Statistical Model Checking (Oct 2018) Ashalatha Kunnappilly, Raluca Marinescu, Cristina Seceleanu 8th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation (ISoLA 2018)
A Formally Assured Intelligent Ecosystem for Enhanced Ambient Assisted Living Support (Apr 2018) Ashalatha Kunnappilly The 33rd ACM/SIGAPP Symposium On Applied Computing (SAC 2018)
An end- user perspective on the CAMI Ambient and Assisted Living Project (Mar 2018) Imad Alex Awada , Oana Cramariuc , Irina Mocanu , Cristina Seceleanu, Ashalatha Kunnappilly, Adina Magda Florea 12th annual International Technology, Education and Development Conference (INTED 2018)
A Novel Integrated Architecture for Ambient Assisted Living Systems (Jul 2017) Ashalatha Kunnappilly, Alexandru Sorici , Imad Alex Awada , Irina Mocanu , Cristina Seceleanu, Adina Magda Florea The 41st IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC 2017)
Analyzing Ambient Assisted Living Solutions: A Research Perspective (Apr 2017) Ashalatha Kunnappilly, Axel Legay , Tiziana Margaria , Cristina Seceleanu, Bernhard Steffen , Louis-Marie Tranonouez 12th International Conference on Design and Technology of Integrated Systems in Nanoscale Era (DTIS 2017)
Do we need an integrated framework for Ambient Assisted Living ? (Nov 2016) Ashalatha Kunnappilly, Cristina Seceleanu, Maria Lindén 10th International Conference on Ubiquitous Computing & Ambient Intelligence & International Work-Conference on Ambient Assisted Living (UCAmI & IWAAL )
|CAMI - Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL (Ambient Assisted Living)||active|
|Master Thesis: Implementation of a Decision Support System for an Ambient Assisted Living System||available|