Sarith Divakar M

Dr. Sarith Divakar M has been serving as an Assistant Professor in the Department of Computer Science and Engineering at LBS College of Engineering, Kasaragod, since 2015. He holds a Ph.D. from Cochin University of Science and Technology (CUSAT) and is a district-level winner of the K-DISC Young Innovators Programme (YIP 4.0). He is an Empaneled Trainer in AIML and Business Analytics under the Additional Skill Acquisition Programme of the Government of Kerala. His research focuses on Machine Learning, and he has co-authored the book "Cloud Computing & Big Data: From the Basics to Practical Use Cases." He leads research projects with KSCSTE, IIT Madras, and the Centre of Excellence for Disability Studies, and has coordinated numerous conferences and faculty development programs. Furthermore, he serves as a peer reviewer for IEEE international conferences and has coordinated and chaired international conferences. He also serves as the Nodal Officer for IEDC, Placement Coordinator, and Accreditation Coordinator for the IT program at his institution. He is actively involved in consultancy projects with cooperative societies and serves as the Kasaragod district coordinator for the YIP program of KDISC, contributing significantly to both academia and the innovation ecosystem.

Educational Qualifications: 

•   PhD: Cochin University of Science and Technology (CUSAT)

•   MTech: Computer Science with specialization in Information Systems from Rajagiri School of Engineering & Technology (RSET), MG University

•   BTech: Information Technology from School Of Engineering (SOE), CUSAT

Thesis:

• Design and development of novel data analysis techniques for crop yield mapping using remote sensing satellite imagery

Book:

• Cloud Computing & Big Data: From the Basics to Practical Use Cases.

Achievements:

• District level winner of K-DISC Young Innovators Programme (YIP 4.0), Sarith Divakar M, Hashmy Hassan, Dr. Sudheep Elayidom M, "Deep transfer learning based crop monitoring and yield forecasting system" (IDEA ID: 9631) (Order No.320/2023/K-DISC), dated 15-July-2023.

• Secured All India Rank 174 in GATE (IT) exam 2008.

• Qualified NET 2012.

• Qualified GATE (CS) exam in 2009,2011,2012,2014.

• Secured 92 percentile in C-DAC CST – G Level exam 2011.

• Founded Omnipresent IT Solutions Pvt Ltd in Aug 2010.

• CoFounder OpenMind

Sponsored Project:

• A deep neural network-based crop classification technique using multi-temporal satellite imagery (01707 /SPS 64/2019/KSCSTE) order dated 16-Jan-2020 

•  An integrated approach for flood prediction using deep learning techniques, Ideas to Impact Challenge (i2I) 2023-24, i2i2023W0168, Order dated 19-Feb-2024

• A collaborative E-Governance framework, Centre of Excellence for Disability Studies, order dated 24/2/2024

List of journals:

• M. Sarith Divakar, M. Sudheep Elayidom, and R. Rajesh. 2022. Design and implementation of an efficient and cost effective deep feature learning model for rice yield mapping. Int. J. Comput. Sci. Eng. 25, 2 (2022), 128–139. https://doi.org/10.1504/ijcse.2022.122205

• P Pramod, PS Baiju, K Aseem, M Sarith Divakar. Efficient FIR Filters Using Precise Application of Algorithmic Level Transformations, IETE Journal of Research, 1-14. https://doi.org/10.1080/03772063.2025.2460673

• K Aseem, M Jayakumar, P Pramod, BC Anilkumar, MS Divakar. Fractional Order PID Controller Incorporated Decoupled Control of Grid Connected Solar Photovoltaic System, Applied Solar Energy 60 (1), 127-137. https://doi.org/10.3103/S0003701X23601849

• An Intelligent System for Early Assessment and Classification of Thyroid Disease, JCIS, 2019

• High Utility Pattern Mining Using Sliding Window Control with Parallel Mining for Establishing Profitable Manufacturing Plans, JCIS, 2019

• An Efficient Approach for Crop Yield Forecasting Using Machine Learning Techniques based on Normalized Difference Vegetation Index and Climatic Indices, “JARDCS”,(Scopus), 2018

• M. Sarith Divakar, M. Sudheep Elayidom, R. Rajesh, Forecasting crop yield with deep learning based ensemble model, Materials Today: Proceedings, 2022, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2022.02.109

Book Chapters:

• Sarith Divakar, M., Sudheep Elayidom, M., Rajesh, R. (2022). Feature Engineering of Remote Sensing Satellite Imagery Using Principal Component Analysis for Efficient Crop Yield Prediction. In: Suma, V., Fernando, X., Du, KL., Wang, H. (eds) Evolutionary Computing and Mobile Sustainable Networks. Lecture Notes on Data Engineering and Communications Technologies, vol 116. Springer, Singapore. https://doi.org/10.1007/978-981-16-9605-3_13

• Divakar, M.S., Elayidom, M.S., Rajesh, R. (2022). Sequence Models for Crop Yield Prediction Using Satellite Imagery. In: Smys, S., Tavares, J.M.R.S., Balas, V.E. (eds) Computational Vision and Bio-Inspired Computing. Advances in Intelligent Systems and Computing, vol 1420. Springer, Singapore. https://doi.org/10.1007/978-981-16-9573-5_49

• Divakar, M.S., Elayidom, M.S., Rajesh, R. (2022). Analysis of Remote Sensing Satellite Imagery for Crop Yield Mapping Using Machine Learning Techniques. In: Saraswat, M., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Congress on Intelligent Systems. Lecture Notes on Data Engineering and Communications Technologies, vol 114. Springer, Singapore. https://doi.org/10.1007/978-981-16-9416-5_50

List of conferences:

• UDDI Rated Web Services, “The third International Conference on Advances in Computing and Communications”, (IEEE), 2013

• Registry Based Discovery Model for Android Application, “The third International Conference on Advances in Computing and Communications”, (IEEE), 2013

Inaugural Addresses:

• Non-residential 3 days workshop for ideators (YIP 6.0 District-level shortlisted school students of Kasaragod District) as a part of ശാസ്ത്രപഥം നവീനം 6.0

List of invited talks:

• Delivered a talk on “Importance of Campus Communities” in the Gifted children program at LBSCEK, Kasaragod on 31 Dec 2023

• Delivered talk on Artificial Intelligence in Healthcare - Case Study of Pneumonia Disease for ATAL FDP at Srinivas Institute of Technology - Mangaluru on 12 Dec 2023

• Delivered a talk on “AI” in the Gifted children program at Govt. UP School, Kasaragod on 18 Nov 2023.

• Handled a session on “Design Thinking” in the Gifted children program at Govt. UP School, Kasaragod on 12 Aug 2023.

• Delivered a talk on “Deep Neural Networks” in FDP on Deep Learning organized by Department of CSE, LBSCEK on Jan 24, 2023

• Delivered a talk on “Deep Neural Networks” in FDP on Deep Learning organized by Department of CSE, LBSCEK on Jan 24, 2023

• Delivered a talk on “Data Analytics in Agriculture” organized by Department of ECE, LBSCEK on 6-Sep-2021

• Session chair, 2nd International Conference on Advances in Security and Computing (ICASC 2021)

• Delivered a talk on “Github” organized by Department of CSE, School of Engineering, CUSAT on 16th Feb 2021

• Delivered a talk on “Machine Learning in IoT” organized by Department of ECE, LBSCEK on 12-Jan-2021

• Delivered a session on SVM, hosted by ASAP, Govt. of Kerala for Engineering students in Kerala

• Delivered a talk on “Introduction to FLOSS” organized by College of Engineering Trikaripur on 16th Aug 2019

• Delivered a talk on Machine learning at Govt. Polytechnic College, Kasaragod on 9th Jan 2018

• Delivered a talk on Careers in Engineering at Kendriya Vidyalaya No.II Kasragod on 25 August 2016

• Delivered a session on Cloud Computing organised by Mount Zion institute of science and technology on 18th November 2016

• Delivered a talk on “The future of Data Science” organized by College of Engineering Trikaripur on 28th Sep 2016

• Handled a session on “Big Data Analytics” for DST Sponsored Ten Day Faculty Training Programme organized by Hindusthan Institute of Technology, Coimbatore on 19th May 2016

• Handled a session on “WordPress on Microsoft Azure” organized by RSM SNDP Yogam College, Koyilandy on 16th Jan 2016

• Delivered a talk on “WordPress on Microsoft Azure” for an event “Open Source on Microsoft Azure” organized by Microsoft Developer Community, Kerala at Technopark, Trivandrum

• Delivered a talk on Addressing unemployment in Kerala by Entrepreneurship  at NSS Camp on 23rd Dec 2015.

• Handled a session on “Big Data Processing with Apache Spark” organized by LBS College of Engineering, Kasaragod on 9th Dec 2015

• “Handled a session on Information Skills” to Employees of Motor vehicle   Department on 23-30 Apr 2014 conducted jointly by the IHRD & the KSHECl at CAS, IHRD.

Peer Reviewer:

• 5th International Conference on Control, Communication and Computing, Thiruvananthapuram, India

• 9th International Conference on Smart Computing and Communications, Kochi, India

• 3rd International Conference on Control, Communication and Computing, Kasaragod, India

• 6th International Conference on Recent Advances in Intelligent Computational Systems, Kothamangalam, Ernakulam

• 1st International Conference on Trends in Engineering Systems and Technologies, Kochi, India

• 2nd International Conference on Recent Advancements in Engineering & Technology, Kasaragod, India

• 1st International Conference on Advancements in Power, Communication and Intelligent system, Kannur, India

Consultancy project:

• The Kasaragod – Karadka Block Vanitha Service Co-Op Society Ltd. No. C. 963, Kasaragod

• The Kasaragod District Postal Employees Co-Operative Society Ltd. No. S. 53, Kasaragod

• Kerala State Road Transport Employees Co-Operative Society Ltd. No. S. 12, Kasaragod

• The Kerala Govt. Contractors co-operative society Ltd. No. K581, Kasaragod 

• The Kasaragod district Govt. Employees welfare co-operative society ltd. No. S 518, Kasaragod 

• Paivalike Vanitha Service Co-Op Society Ltd. No. K.560, Kasaragod

• Kasaragod Vyapari Vyavasai Welfare Co-Operative Society  Ltd., No. S 477, Kasaragod

• The Kuttikol Agriculturist Welfare Co-Op Society Ltd. No. S 383, Kuttikol, Kasaragod

Administrative works

• Nodal Officer, “Innovations and Entrepreneurship Development Cell, LBSCEK”

• Placement Coordinator, “Carrier Guidance and Placement Unit,  LBSCEK”

• Coordinator, “FLOSS Club, LBSCEK”

• Staff in-charge, “Computer Science and Information Technology Department Association, LBSCEK”

• Accreditation Coordinator, "Information Technology, LBSCEK"

Membership in Professional bodies:

• The Indian Society For Technical Education(ISTE) 

• Soft Computing Research Society (SCRS)

Subjects Taught:

Data Mining and Data Warehousing, Machine Learning, Data Analytics, Data Science, Computer Vision, Deep Learning

Technical Expertise:

• Languages & Scripting : C, C++, Java, PHP, JSP, R, Python

• Operating Systems : Windows, RHEL, Fedora ,SUSE, Ubuntu

• DBMS : Oracle,  MySQL, SQL Server, MongoDB, HBase

• Software’s :  NetBeans, Eclipse, Dreamweaver, Android Studio, Intel XDK, Visual SVN Server & TortoiseSVN, Notepad++, Git, OpenOffice 4.0, Rose, RStudio, Weka

• Multimedia :  Autodesk 3DsMax , Autodesk Combustion

• Project Management : Scrum-Agile development framework

• Frameworks: Bootstrap, CakePHP, Elgg, JBoss

Technical Works:

• Configured ClearOS firewall at CCET, LBSCEK

• Configured Cloudstack at CCET

• Configured Apache Subversion at CCET

• Configured PPPoE and Squid Proxy Server in Ubuntu at RSET.

• Developed SMS App at LBSCEK

• Developed website for Card Hot listing at FIS

• Developed EJ monitoring scripts in UNIX

• Developed Call Logging software in JAVA