KCC Conference 2024
Call for Abstracts: KCC Conference 2024
Theme: Innovation in Information Technology and Engineering to Enhance Efficiency and Sustainability
Dates: Shrawan 32, 2081 (2024 August 16)
Venue: Kantipur City College
About the Conference
Kantipur City College is pleased to announce the KCC Exhibit and Conference 2081, focused on “Innovation in Information Technology and Engineering to Enhance Efficiency and Sustainability.” This conference aims to provide a platform for researchers, practitioners, and educators to discuss the latest trends, challenges, and solutions in the fields of IT and engineering.
Topics of Interest
We invite the submission of abstracts that align with the conference theme. Topics of interest include, but are not limited to:
- Artificial Intelligence and Machine Learning
- Blockchain Technology and Applications
- Data Analytics and Business Intelligence
- Disaster Management
- Robotics and Automation
Submission Guidelines
- Abstract Length: Abstracts should not exceed 300 words.
- Language: All abstracts must be written in English.
- Format: Abstracts should include the title, authors’ names, affiliations, and contact information.
- Photo and short bio must be submitted.
- Submission Method: Abstracts must be submitted electronically via conference@kcc.edu.np.
Important Dates
- Abstract Submission Portal Opens : Shrawan 17, 2081 (2024 August 01)
- Abstract Submission Deadline: Shrawan 25, 2081 (2024 August 09)
- Notification of Acceptance: Shrawan 27, 2081 (2024 August 11)
- Conference Dates: Shrawan 32, 2081 (2024 August 16)
Review Process
All submitted abstracts will be reviewed by the conference scientific committee. The review criteria will include relevance to the conference theme, originality, and clarity of presentation. A maximum of 25% of the abstract should be dedicated to the introduction with 75% focused on methods, results and problem-solving approach.
Conference Proceedings
Accepted abstracts will be published in the KCC website. Selected abstracts may be invited for full paper submissions to be included in the conference proceedings.
Keynote Speakers and Special Sessions
The conference will feature keynote addresses by distinguished experts and special sessions on focused topics. Keynote and special session details will be updated on the conference website.
Contact Information
For any queries related to abstract submissions, please contact the conference organizing committee at:
- Deepak Bikram Thapa Chettri, Coordiantor (9841654803)
- Ravi Khanal,Member (9849528647)
- Prakash Gautam (9849324193)
- Email: conference@kcc.edu.np
We look forward to receiving your abstracts and welcoming you to the KCC Exhibit and Conference 2024.
Conference Organizing Committee Kantipur City College Kathmandu, Nepal
Background
In the rapidly evolving landscape of Information Technology (IT) and engineering, there is a growing emphasis on innovative approaches to enhance efficiency and sustainability. Kantipur City College is committed to fostering discussions and knowledge sharing in these critical areas. The KCC Exhibit and Conference 2081 aims to bring together experts, academics, and practitioners to explore the latest advancements in IT and Engineering and their applications in various industries.
Introduction
The KCC Exhibit and Conference 2081 will serve as a platform for thought leaders to share insights and present cutting-edge research in IT and engineering. The conference will feature keynote speeches, presentations, panel discussions, and interactive sessions focused on artificial intelligence, machine learning, blockchain, and disaster management. This event is designed to inspire participants to leverage technology for solving real-world problems and driving sustainable growth.
Objectives
The primary objectives of the conference are:
- To facilitate knowledge exchange between academia and industry professionals.
- To explore the role of AI, machine learning as well as Blockchain in addressing real world and complex challenges.
- To discuss strategies for enhancing business performance through data-driven insights.
- To highlight the significance of engineering solutions in disaster management.
Target Audience
The conference targets a diverse group of participants, including:
- Academics and Researchers: To present and discuss their latest research findings.
- Industry Professionals: To gain insights into the latest technological advancements and their applications.
- Government Officials: To explore policy implications and support for technological innovations.
- Students: To learn from experts and gain exposure to real-world applications of their studies.
- Technology Enthusiasts: To stay updated on emerging trends and innovations in IT and engineering.
- Business Leaders and Entrepreneurs: To discover data-driven strategies for optimizing business performance.
- Disaster Management Professionals: To explore engineering solutions for disaster preparedness, Mitigation and response.
Outcomes
By the end of the conference, participants will:
- Acquire practical insights into the application of AI and machine learning in various fields.
- Learn about successful case studies of blockchain technology solving real world and complex problems.
- Engage in meaningful discussions on optimizing business performance with data analytics.
- Develop strategies for leveraging technology to enhance disaster preparedness and response.
Conference Agenda
Keynote : Focus on AI, Machine Learning, and Disaster Management
Presentation 1: Demonstrating the Significance of Machine Learning and Blockchain in Solving Complex Real-World Problems
- Session 1.1: Detecting SPAM Email via Machine Learning
- Session 1.2: Analysis of Website Traffic Time Series Forecasting using ARIMA, Prophet, and LSTM RNN
- Session 1.3: Credit Risk Prediction by using Ensemble ME Algorithms
- Session 1.4: Conception of IoT-based Vehicle Tracking Underwater using LORA
Presentation 2: Optimizing Business Performance through Data-Driven Insights
- Session 2.1: Standardization of Management Reports on Inland Revenue Department Using Business Analytics
- Session 2.2: A Study of Cost Optimization in FaSS Computing with the Most Favorable Resource Size
Plenary 1: Panel Discussion: Unlocking the Strength of AI: Transforming Industries and Changing Lives
- Panelists: (4 Invited Speakers)
[Presentation 3 ] Resilient cities through infrastructure development and sustainable urban planning
Session 3.1.Mitigating the urban heat island effect in sustainable cities:
Session 3.2. A case study of pollution in Kathmandu
Plenary 2: Interactive Dialogue: Engineering for a Safer Future: Lessons Learned from Disasters and Beyond
- Panelists: (3 Invited Speakers)