4th International Conference
Computer Vision, High Performance Computing, Smart Devices and Networks

(CHSN 2023)

jointly organized by
Jawaharlal Nehru Technological University Kakinada
Institute of Bioinformatics and Computational Biology
Prof.CHSN Research Foundation
BioAxis DNA Research Centre (P) Ltd.

December 28-29, 2023

Program Schedule Paper Submission is Closed Springer Approved Conference

About the conference

4th International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks (CHSN-2023) is aimed to bring researchers together working in this area to share their knowledge and experience. In this conference, topics of contemporary interests would be discussed to  provide a  holistic vision  on  the  latest  technologies  in   computer science and engineering. The scope includes data science, machine learning, computer vision, deep learning, artificial intelligence, artificial neural networks, mobile applications development and Internet of Things etc; Conference  participants  are  expected to  gain relevant knowledge and better understanding of the applications of computer science in various fields.

It is planned to publish the peer reviewed and selected papers of conference as proceedings with Springer in their prestigious “Lecture Notes in Electrical Engineering” series (https://www.springer.com/series/7818) For detailed instructions for author and editors of conference proceedings, kindly visit the following link:(https://www.springer.com/us/authors-editors/conference-proceedings). Select papers from the conference will be published by Springer as a proceedings book volume. Springer will conduct quality checks on the accepted papers and only papers that pass these checks will be published. Springer Nature does not charge any money for publication of Non-Open Access content. Abstracts/extended abstracts and short papers (less than 4 pages) are not considered for publication

Previous Conference Proceedings was published in LNEE, Springer



Ts. Dr. R. Kanesaraj A/L Ramasamy, Multimedia University, Cyberjaya, Selangor

Ts. Dr R Kanesaraj is a Lecturer in Faculty of Computing and Informatics, Multimedia University Cyberjaya, Malaysia. He has obtained his PhD from Multimedia University with Thesis titled: Adaptive and Dynamic Web Service Composition for Cloud-Based Mobile Application. He was also awarded as Professional Technologist (Ts) by the Malaysian Board of Technology (MBOT) and Microsoft Office 2016 Specialist, Microsoft Certified Professional and Specialist in both Web Development and Database technology. His research is based on Service Oriented Computing and Internet of Things (IoT). He has also published in several conferences and journals. He has nine years of experience in the software industry in both development and implementation phase. He is also certified by the International Software Testing Qualification Board (ISTQB) which allows him to practice as a professional Software Tester. He was also involved research project funded by JICA & SASTREPS to develop an early warning system for flood and landslide in Malaysia. In 2018, he was awarded Telekom Malaysia Research Grant as a project leader for an IoT project to implement the prototype to an actual building. Besides, research grant he is also an IoT trainer for Telekom Malaysia. Other than IoT training he also provides training on Mobile Application for all levels (School Students and Executive). Besides technical training, he is also a Google Certified Educator and served MMU Business School as Design Thinking Catalyst Trainer. He trains lectures on how to conduct an effective blended learning class using Google Suite Applications organised by Academic Development for Excellence in Programmes and Teaching (ADEPT).


Dr. Sarahani Binti Harun Pensyarah Universiti

Dr. Sarahani Harun is a research fellow at the Institute of Systems Biology (INBIOSIS). She graduated from the Universiti Kebangsaan Malaysia, earning a bachelor’s in bioinformatics, a master’s in molecular biology, and a PhD in Systems Biology. Her research interest in computational biology includes gene co-expression network analysis and protein-protein interaction construction in humans and plants. She has also published in several conferences and international journals. She has eight years of experience in bioinformatics, where she is actively involved in analyzing transcriptome data using network biology as a project leader in a national grant. She also conducted bioinformatics workshops annually at INBIOSIS to promote one of its components, network biology, to students and researchers in the region.


Dr. Mira Kania Sabariah Head of Bachelor Software Engineering
School of Computing, Telkom University, Indonesia

Dr Mira Kania Sabariah is a lecturer and head of the Bachelor of Software Engineering at the School of Computing at Telkom University. She graduated from a doctoral program from the Department of Electrical Engineering and Information Technology, at Universitas Gadjah Mada, Indonesia. The thesis title is Requirements Elicitation Framework for Children's Learning Applications. She has received an award from Telkom University as Best Practice E-Learning. Requirements Engineering is a main subject area, especially in the requirements elicitation processes. Artificial Intelligence is also applied in applications for requirements elicitation processes, especially when classifying user personas. The application is still being developed for 2nd version and the goal of the product is to help developers get clear requirements and documentation in the requirements elicitation process.


Submission due 20th October 2023
Author notification 25th November 2023
Camera-ready paper due 5th December 2023
Conference Dates 28th & 29th December 2023


JNTU Kakinada, Andhra Pradesh, India 533003


E-Mail: icchsn2023@gmail.com