@imu.edu.in
Associate Professor & Head of the Department, School of Marine Engineering and Technology
Indian Maritime University, Chennai Campus
MEO Class-I (Motor) FG CoC holder, presently working as Associated Professor & Head Marine Engineering in Indian Maritime University, Chennai.
Fellow Member in IME(I), IAE & ISME and Member in IE(I) & ISTE.
Passionate teacher with an academic experience of nearly about 03 decades.
Reviewer in reputed National/International Journals.
More than 10 National and 20 International publications.
Elected Member of IME(I), Chennai Branch, Executive Council.
B.E. Mechanical engineering (Vellore Engineering College, University of Madras)
M.E. Energy Engineering (PSG College of Technology, Bharathiyar University)
Ph.D. Emission Control (Anna University, Chennai)
MEO Class -I (Motor), GoI
Emission Control in IC Engines, Ship Recycling, Decarbonization, Alternate Fuels, Artificial Intelligence, Automation and Control, Energy Conservation and Management, Sustainable Shipping.
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
K. Sivasami, S. Thangalakshmi, K Giridhar Reddy, B. Venkataramanaiah, and Caleb S
IEEE
Underwater Acoustic Sensor Network (UASN) routing is difficult for several reasons. First, the UASN's energy consumption rises because the distance between nodes changes as it moves with the water current. The gathered scientific data packets are sent from the acoustic network to a receiving station on land. Second, there are difficulties with the underwater acoustic network, such as longer propagation delays and lower capacity because of danger. The biggest hurdle is inefficient data packet transfer between the UASN node and the onshore sink node. Finding a method that uses less energy is just the first step in reaching maximum efficiency. The underwater routing protocol has to be resilient in the face of connection failure brought on by extreme weather or power outages. The Modified Buffalo Optimization Algorithm is a novel optimization technique inspired by nature. The issues listed above may be avoided by using the Modified Buffalo optimization Algorithm that has been presented in this study. It was implemented in the NS2 simulator to evaluate the program's effectiveness and through its paces against the Chimp optimization method. In terms of throughput, packet delivery ratio, and power efficiency, the simulated results shows that the MBOA algorithm out performs COA Algorithm.
K. Sivasami, S. Thangalakshmi, and Bandi Rakshith Kumar
Springer Science and Business Media LLC
S. Thangalakshmi and K. Sivasami
Springer Science and Business Media LLC
Gopikrishna Chockalingam, K. Sivasami, and S. Thangalakshmi
IEEE
Having identified the potential hazard during the Ship recycling process, the Hongkong Convention mandates the inventory of hazardous materials for Ships above 500 GT. It also mandates the Ship recycling facility to have a Ship Recycling Plan based on the inventory of hazardous material. The Hongkong convention although addresses most of the issues in the ship recycling industry in the beaching method of ship recycling, it is silent over the issues pertaining to the downstream waste management. India has ratified the Hong Kong convention on 29th November 2019, has enacted the Ship Recycling Act, 2019 in line with the requirements of the Hong Kong convention. This paper analyses the key issues of concern in the ship recycling industry especially which employs the beaching method of recycling and the dire need of a Life cycle assessment approach in ship recycling, the process improvement of hazardous waste handling in the Ship recycling industry to prevent the accident occurrences, reduce the health issues to the workers in the ship recycling industry in addition to the pollution prevention aspects in the adjacent coastal areas.
Thangalakshmi S
Institute of Advanced Scientific Research
Dr. S. Thangalakshmi and Dr. K. Sivasami, 2021 (December). Fuzzy Logic Control for Speed Control of Three Phase Induction Motor with Variable Frequency Drive in Marine Applications, International Journal of All Research Education and Scientific Methods (IJARESM), ISSN: 2455-6211, Volume 9, Issue 12, .
Thangalakshmi, S. and Sivasami, K., 2021, August. Machine Learning Methods for Marine Systems. In IOP Conference Series: Materials Science and Engineering (Vol. 1177, No. 1, p. 012002). IOP Publishing.
Krishnendu Das, S. Majumder, K. Sivasami, S. Thangalakshmi, & N. Das. (2021, September 14). Hongkong Convention: Impact on Environment due to refrigeration waste in Ship Recycling: An Indian Perspective. Published in the book chapter 62: Interdisciplinary Research in Technology and Management: Proceedings of the International Conference on Interdisciplinary Research in Technology and Management, CRC Press. Taylor & Francis.
S. Thangalakshmi, V. Ganeshram, K. Sivasami, K. Sathiyasekar (2020), “Effect of Panel Materials on the Performance of Solar Cells”, Palarch’s Journal of Archaeology of Egypt/Egyptology 17(7), 5329-5340. ISSN 1567-214x
K.Sivasami, V.Selladurai and S.R.Devadasan, Performance and Emission Characteristics of a Marine Diesel Engine using Bio-diesel, European Journal of Scientific research, (4), ISSN: 1450-216X.
Thangalakshmi, S., & Sivasami, K. (2022). WASTE-TO-ENERGY: A PROMISING MARITIME TRANSPORT TECHNOLOGY.
12 Years (10 Years of sailing experience and 2 years in Railways.)