The primary goal of the conference is to promote research and developmental activities in Network, Multimedia and Information Technology, another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference provides an exceptional opportunity for deliberation of latest trends and technologies in the design, application and development of Information Technology. It also creates a forum for young researchers to find the potential research problems and prospects in their respective research areas.
Nitte Meenakshi Institute of Technology, Bengaluru, has established IEEE Student Branch in the Year 2005 under IEEE Bangalore Section. Student Branch is dedicated for the professional development of students with advanced technical support from IEEE connected in closed-loop with various society Student Branch chapters like IEEE Power and Energy Society (PES), IEEE Robotics and Automation Society Chapter and Computer Society Chapter, Power Electronics and Industrial Electronics and IEEE Women in Engineering (WIE) affinity groups. NMIT IEEE SB conducts several events for the benefit of students at National/International levels.
Archive of Previous Proceedings:
https://ieeexplore.ieee.org/xpl/conhome/1851010/all-proceedings
Full-length original research contributions and review articles not exceeding SIX pages as per the IEEE double-column format shall be uploaded for IEEE NMITCON-2023 via Microsoft CMT online submission system
Paper Submission Link: https://cmt3.research.microsoft.com/IEEENMITCON2023
IEEE NMITCON is listed in the IEEE Conference Search/Call for Papers: https://conferences.ieee.org/conferences_events/conferences/conferencedetails/58196
All papers presented in the conference will be submitted for inclusion into the IEEE Xplore Digital Library.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, Experiment works and industrial experiences that describe significant advances in the following areas, but are not limited to, the following.
| Particulars | Indian Delegates | Indian Delegates-IEEE Members |
| Delegates from Industry/Academia | 7500 | 6000 |
| Research Scholars/UG/PG Students | 6500 | 5000 |
| Accompanying Person | 1000 | 500 |
| Particulars | Foreign Delegates | Foreign Delegates-IEEE Members |
| Delegates from Industry/Academia | 150 $ | 100 $ |
| Research Scholars/UG/PG Students | 100 $ | 80 $ |
Paper Submission opens: 1/10/2022
Paper Submission closes: 30/06/2023
Notification of Acceptance: 30/07/2023
Final Camera ready paper: 15/08/2023
Registration last date: 15/08/2023
Date of Conference: September 01-02, 2023
Disinformation, fake news, and related phenomena present a pressing global challenge that profoundly impacts our societies and nations. This misleading information encompasses a broad range of deceptive content, including fake news, hoaxes, rumours, and propaganda, among others. Its consequences reverberate across critical domains such as the economy, politics, and public health. The rise of movements like the anti-vaccine movement and instances of external interference in electoral processes, or more recently climate-change denialist, underscore the grave implications of false information dissemination. In response to the escalating urgency, this talk provides a concise introduction to Artificial Intelligence (AI) and Machine Learning techniques employed to combat disinformation. Notably, techniques like Deep Learning, Transformers, and Natural Language Processing have emerged as powerful tools in this endeavour. The presentation presents the latest results obtained by the Factercheck architecture, a multilingual and SNA AI-based solution that leverages Deep Learning (specifically Transformers technology and Social Network Analysis), to detect and combat disinformation effectively. Key features and recent results of this architecture will be highlighted. Furthermore, the talk will shed light on the current and future challenges encountered in this intriguing research domain. By exploring the main problems and emerging issues, the talk aims to deepen our understanding of disinformation and pave the way for innovative AI-driven strategies to counter its detrimental effects.
David Camacho is full professor at Computer Systems Engineering Department of Universidad Politécnica de Madrid (UPM), and the head of the Applied Intelligence and Data Analysis research group (AIDA: https://aida.etsisi.uam.es) at UPM. He holds a Ph.D. in Computer Science from Universidad Carlos III de Madrid in 2001 with honours (best thesis award in Computer Science). He has published more than 300 journals, books, and conference papers (https://scholar.google.es/citations?hl=en&user=fpf6EDAAAAA). His research interests include Machine Learning (Clustering/Deep Learning), Computational Intelligence (Evolutionary Computation, Swarm Intelligence), Social Network Analysis, Fake News and Disinformation Analysis. He has participated/led more than 50 research projects (Spanish and European: H2020, DG Justice, ISFP, and Erasmus+), related to the design and application of artificial intelligence methods for data mining and optimization for problems emerging in industrial scenarios, aeronautics, aerospace engineering, cybercrime/cyber intelligence, social networks applications, or video games among others. He serves as Editor in Chief of Expert Systems from 2023 and sits on the Editorial Board of several journals including Information Fusion, IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), Human-centric Computing and Information Sciences (HCIS), and Cognitive Computation among others.
Google Scholar: https://scholar.google.com/citations?hl=es&user=fpf6EDAAAAAJ#
Research Gate: https://www.researchgate.net/profile/David-Camacho-12
