Special Session on
Data Analytics, Smart Computing and Networks
Aim and Scope
In the rapidly evolving landscape of digital technology, the confluence of Data Analytics, Smart Computing, and Networks represents a pivotal intersection where advanced methodologies extract meaningful insights from vast datasets, smart computing technologies infuse adaptability and intelligence into computational systems, and optimized network infrastructures seamlessly facilitate the exchange of information. The proposed session on "Data Analytics, Smart Computing, and Networks" provides a forum for researchers and professionals to explore the synergies among these three crucial domains. This session delves into the latest advancements in data analytics, encompassing statistical analysis, machine learning, and data mining techniques to derive meaningful insights from vast datasets. Smart computing technologies, including artificial intelligence and machine learning, are integrated to optimize computational systems and enhance their adaptability. Concurrently, the session addresses the design, optimization, and security aspects of networks, particularly those supporting data-intensive and intelligent applications. Researchers and practitioners engage in discussions on challenges and opportunities in this intersection, covering topics such as advanced analytics for smart environments, network optimization, security considerations, and applications of machine learning in network performance enhancement. The collaborative platform fosters knowledge exchange, the presentation of innovative ideas, and the advancement of these rapidly evolving fields, ultimately contributing to the seamless integration of data analytics, smart computing, and network infrastructures.
Related topics:
- Artificial Intelligence (AI) and Machine Learning (ML)
- Internet of Things (IoT)
- Cybersecurity
- Cloud Computing
- Edge Computing
- Blockchain Technology
- Human-Computer Interaction (HCI)
- Big Data Management
- 5G Technology
- Health Informatics
Paper Submission
Potential authors may submit their manuscripts for presentation consideration through ICETCI 2024 submission system electronically at https://edas.info/N31894 , following the conference guidelines. All submissions will go through peer review process. To submit your paper to this special session, you have to choose our special session title on the submission page.
Important Dates
| Paper submission deadline: | Apr 15, 2024 |
| Paper acceptance notification date: | Jun 20, 2024 |
| Final paper submission and early registration deadline: | Jun 30, 2024 |
Organizers
Dr. K. Ramani
Professor and Program Head (Data Science), School of Computing, Mohan Babu University, Tirupati
E-mail: head-ds@mbu.asia
Dr. K. Ramani is a distinguished academician and researcher currently serving as a Professor, Program Head and BoS Chairperson of Data Science at Mohan Babu University in Tirupati, Andhra Pradesh. Dr. Ramani has 25 years of rich experience in teaching and research. She has played a pivotal role in shaping the academic landscape, and guided 03 Ph.D. scholars across various universities. Dr. Ramani's expertise extends to the realms of data analytics, smart computing, and networks, evident in her significant contributions to these fields. Her Ph.D. thesis, titled "Enhanced Information Hiding Through Integer, Discrete, and Complex Wavelet Transforms," reflects his deep engagement with advanced technologies. Her research interests also include areas such as IoT, cybersecurity, cloud computing, and health informatics. As a testament to her scholarly contributions, Dr. Ramani has actively pursued research projects and secured funding, notably from UGC and AICTE. Her leadership in AICTE-Margdarshan and the successful organization of a FDP on Cyber Physical Systems underscore her commitment to advancing education and research. Dr. Ramani's intellectual footprint extends to the publication of books, book chapters, and numerous research papers in reputed international journals and conferences. Notable works include " Logistic Regression Ensemble Classifier for Intrusion Detection System in Internet of Things ", An Improved Rank Based Disease Prediction Using Web Navigation Patterns on Bio-medical Databases” and " Energy aware multi objective genetic algorithm for task scheduling in cloud computing." She has published more than 60 research papers in renowned international journals and conferences. She holds more than 04 patents for innovative systems, including a contactless selfie ticket payment system and a smart app aiding visually impaired individuals in object detection. She is a member of prestigious professional organizations such as IEEE, CSI, ACM, CSTA, IAENG, and ISCA. Ramani's commitment to academic excellence is further evident in his role as the Chief Coordinator for AICTE-Margdarshan and her involvement in various research projects. As the Convener of the International Conference on Data Analytics, Smart Computing, and Networks (IDASCN), she continues to provide a platform for the exchange of innovative ideas and advancements in these transformative domains. She has served as a technical committee and program committee member in many international conferences.
Dr. V. Jyothsna
Associate Professor and Associate Dean (Academic Affairs), School of Computing, Mohan Babu University, Tirupati
E-mail: jyothsna.v@vidyanikethan.edu
Dr. V. Jyothsna is an Associate Dean (Academic Affairs) and Associate Professor at Mohan Babu University, Tirupati, with over 18 years of experience in teaching and research. She has authored 37 papers in international journal/conference papers, with many publications featured in Scopus-Quartile journals and Web of science journals. She Published 4 Indian Patents in the field of network security. She has authored 02 book chapters and published 01 book. She has about 712 Citations in Google Scholar. She has served as a technical committee and program committee member in many international conferences. She is also a member of the editorial board and reviewer for various international journals. Her research interest is Information and Network Security, Soft computing solutions for Ad hoc and Wireless Sensor Networks, Data Science, Opportunistic Networks routing and security, Building Machine learning and Deep learning models for Intrusion Detection System. Her commitment to education is further demonstrated through her involvement in organizing training programs and receiving grants for academic initiatives. She has received accolades, such as the "Uttama Adyapika Award" in the Bharat Education Excellence Awards, and is an active member of professional societies like IAENG, ICST, IISCA, and CSI.
Mr. P. Bhasha
Assistant Professor and Deputy Controller of Exams, School of Computing, Mohan Babu University, Tirupati
E-mail: bhasha.p@vidyanikethan.edu
Mr. P. Bhasha is an accomplished professional with a diverse background in technology and innovation. He holds an active role as an organizer and has made notable contributions in various fields. He has 17 Years of Teaching experience. His Area of Interest is Network Security, Internet of Things Architecture, Software Engineering etc., He has published 06 Patents and 11 research articles in reputed International Journals.Hehas received prestigious awards, including "The Chancellor’s Award For Excellence 2021-2022" for the second-highest number of patents. Additionally, she has published a book titled "An Introduction to Data Structures (ISBN 978-613-7-33073-9)" with Lambert Academic Publishing.He is an annual member of professional societies like IEEE, CSI, CSTA, IAENG, and ISCA