Special Session on
Integrating Artificial Intelligence and Machine Learning with DevOps:
Harmonizing Agility and Unleashing Synergy
Aim and Scope
In recent years, the convergence of Machine Learning (ML) and DevOps practices has emerged as a transformative force, empowering organizations to enhance automation, optimize workflows, and drive continuous improvement. These technologies aim to leverage ML capabilities to streamline development pipelines, enhance monitoring, and enable intelligent decision-making throughout the software development lifecycle.
The main objective is to encompass key stages of DevOps, including continuous integration, continuous delivery, continuous testing, and continuous monitoring. Machine learning algorithms are employed to automate mundane tasks, predict potential issues, and optimize resource allocation, thereby contributing to faster and more reliable software delivery, and also addresses challenges associated with model deployment, version control, and ongoing monitoring in a DevOps environment.
The core of the session elucidates key ML concepts applicable to DevOps, such as algorithmic considerations, continuous integration, and predictive analytics. Practical aspects are highlighted, showcasing how ML seamlessly integrates into CI/CD pipelines, automated testing, and quality assurance processes.
This special session solicits original, high-quality research papers into topics including, but not limited to:
- AI and Machine Learning in Health Sector.
- Machine Learning and AI for Cloud Computing.
- Security and Privacy with Machine Learning Ops.
- Human Augmentation: Integrating AI with Human Capabilities.
- Blockchain and Decentralized Technologies.
- Quantum Computing: Current State and Future Prospects.
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 27, 2024 |
| Final paper submission and early registration deadline: | Jul 10, 2024 |
Organizers
Dr. Santosh Reddy P
BNM Institute of Technology, Visvesvaraya Technological University, Bangalore
Email ID: santoshreddy@bnmit.in
Dr. Santosh Reddy P is currently working as an Associate Professor in Department of Computer Science & Engineering, BNM Institute of Technology, Bangalore. He is a dedicated and experienced professional with 6+ years of teaching experience, 2 years of industry experience, and research as well as administration experience. He obtained his B.E. and M.Tech. in First Class with Distinction from VTU, Belgaum and obtained Ph.D. in Computer Science & Engineering from Presidency University, Bangalore.
His area of interest is Artificial Intelligence & Machine learning. He is adept at working with students to successfully prepare them for personal and professional success in today’s world. He consistently strives to create a challenging and engaging learning environment where students become life-long scholars and learners.
He has around 3 utility patents and 1 design patent granted. 8 papers were published in Q1/Q2/Q3 journals [SCI/Scopus/WoS]. 7 papers were presented at National and International conferences, and 3 textbooks were published to his credit. Some of his papers have good citations in Google Scholar, Scopus, Web of Science, etc. He is a reviewer for a few reputed National & International journals. Recently he has been granted 1.5L of funds from NewGen-IEDC-DST. He is involved in technical talks conducting innovation and entrepreneurship-related activities in Higher Educational Institutions. He is being invited as the session chair at various national-level conferences. He is the member for various professional bodies like IEANG and IEI.
Dr. Sangeetha V
Ramaiah Institute of Technology, Bangalore
Email ID: drsangeethav@msrit.edu
Dr. Sangeetha V is currently working as an Associate Professor in the Department of Computer Science and Engineering at Ramaiah Institute of Technology, Bangalore. She has served in academia for more than two decades at various institutes. She received her B.E. in CSE, M.Tech in CSE from RVCE, and Ph.D. (Network Security) from Visveswaraya Technological University (VTU), Belagavi. Her research specialization includes Networks and Security, Artificial Intelligence and Machine Learning, and Blockchain. She has published over 45 research papers in reputed National and International Journals and Conferences. Some of the papers published by her enjoy good citation in Google Scholar, Scopus, and Web of Science etc.
She was invited as the Session chair at various National and IEEE International Conferences; Special Session proposer at 2nd IEEE International conference on Intelligent and Innovative technologies in computing, organized by BNM Institute of Technology, Bangalore from 24th and 25th January 2024. She served as a reviewer and organizing chair for IEEE conferences (IEEE Connect 2023, now organizing member for IEEE Connect 2024, IISc, Bangalore, https://ieee-conecct.org/committee/). She was selected as a Jury panel Member for the MHRD-Ministry of Educations Innovation Cell, AICTE, TOYCATHON 2021 Grand Finale. She also served as the resource person in various Faculty Development program/Workshops across Engineering Colleges. She has also been the member of various professional societies including IEEE (IEEE Senior Member, IEEE SIGHT - Vice Chair), IEI, ISTE (Life Member), IAENG (Member).
Received various awards such as:
- “STAR of the Year Award” in recognition of continuing Excellence in Teaching by HKBK Group of Institutions,
- “Research Excellence Award” for presenting the research paper titled “ZIDS: Zonal-based Intrusion Detection System for Studying the Malicious Node Behaviour in MANET” in conference from IEAE
- “Young Woman Educator & Researcher Award” in recognition of contribution towards Teaching & Research in Computer Science and Engineering by NFED, Coimbatore.