Dr. K. Kamalanand

Dr. K. KAMALANAND, B.E., M.E., Ph.D., AMIE, FISBT, CHARTERED ENGINEER (India)

Assistant Professor

Department of Instrumentation Engineering,

Madras Institute of Technology Campus

Anna University, Chromepet, Chennai 600044

TEACHER :: RESEARCHER :: AUTHOR :: EDITOR :: INVENTOR :: CHIROMANCER

Email:

kamalanand[at]mitindia[dot]edu

Dr. K. Kamalanand completed his Ph.D at MIT Campus, Anna University in the field of “Intelligent modelling and analysis of HIV/AIDS infection”. At present he is an Assistant Professor at the Department of Instrumentation Engineering, Madras Institute of Technology Campus, Anna University, Chennai, India. He has published three authored books and four edited books on Science and Technology. He is a Guest Editor for the European Journal for Biomedical Informatics (Official journal of the European Federation for Medical Informatics), Current Bioinformatics, Current Signal Transduction Therapy (Bentham Science) and Behavioural Neurology (Hindawi). He is a member of the Council of Asian Science Editors and Asian Council of Science Editors. He is a Fellow of International Society of Biotechnology

Citations:

https://scholar.google.co.in/citations?user=gV2EloEAAAAJ&hl=en

Current Research Focus

Biomedical Engineering; Biomechanics;

Mathematical Modelling;

Chaos Theory and Nonlinear Dynamics;

Artificial Intelligence; Nanotechnology

SARS-CoV-2 and COVID-19 Research:

1. Arumugam, G. R., Ambikapathy, B., Krishnamurthy, K., Kumar, A., & De Britto, L. (2023). An algorithm to estimate the real time secondary infections in sub-urban bus travel: COVID-19 epidemic experience at Chennai Metropolitan city India. VirusDisease, 1-11. https://pubmed.ncbi.nlm.nih.gov/36747967/

2. Ambikapathy Bakiya, & Krishnamurthy Kamalanand. (2020). Mathematical Modelling to Assess the Impact of Lockdown on COVID-19 Transmission in India: Model Development and Validation. JMIR Public Health and Surveillance, 6(2), e19368. https://pubmed.ncbi.nlm.nih.gov/32365045/

3. Kamalanand, K., Ambikapathy, B., Kumar, A., & De Britto, L. (2020). Prediction of the Transition From Subexponential to the Exponential Transmission of SARS-CoV-2 in Chennai, India: Epidemic Nowcasting. JMIR public health and surveillance, 6(3), e21152. https://pubmed.ncbi.nlm.nih.gov/32609621/

4. Sukanya, S. A., & Kamalanand, K. (2022). Deep learning-assisted efficient Staging of SARS-CoV-2 lesions using lung CT slices. Mathematical Problems in Engineering, 2022, 1-12.

5. Thanigaiarasu, S., Balamani, G., Bakiya, A., Immaculyne, F., Kamalanand, K., & De Britto, R. L. J. (2022). Numerical modeling and simulation of the droplet transmission of SARS-CoV-2 in the ambient environment and its relevance to social distancing. Mathematical Problems in Engineering, 2022, 1-10.

6. S. Prabha, P. Karthikeyan, K. Kamalanand, N. Selvaganesan, eds., Computational Modelling and Imaging for SARS-CoV-2 and COVID-19, CRC Press (2021), [ISBN: 9780367695293]