International Conference 2025

Original & unpublished research papers are invited for presentation in the areas of Computer Science on the following theme areas, but not restricted to

1. Healthcare: - Medical Image Analysis: AI techniques for analysing medical images (X-rays, MRIs, CT scans) for disease diagnosis and treatment planning. - Predictive Analytics: ML models for predicting disease outbreaks, patient readmissions, and treatment outcomes. - Natural Language Processing (NLP):AI for processing and understanding clinical notes, patient records, and medical literature. - Personalized Medicine: Machine learning algorithms for tailoring treatments to individual patient profiles based on genetic and clinical data. - Robotic Surgery: AI-driven robotic systems for assisting in surgical procedures, improving precision and outcomes.
2. Finance - Algorithmic Trading: AI models for developing trading strategies and predicting stock prices. - Fraud Detection: Machine learning techniques for identifying fraudulent transactions and suspicious activities. - Credit Scoring: AI systems for assessing credit risk and making lending decisions. - Portfolio Management: ML algorithms for optimizing investment portfolios and managing financial risk. - Financial Forecasting: Predictive models for economic trends, market conditions, and financial performance.
3. Transportation: - Autonomous Vehicles: AI for self-driving cars, including perception, decision-making, and control systems. - Traffic Management: ML models for optimizing traffic flow, reducing congestion, and improving safety. - Predictive Maintenance: AI techniques for predicting and preventing equipment failures in transportation infrastructure. - Route Optimization: Algorithms for determining the most efficient routes for logistics and delivery services. - Smart Mobility: AI-driven solutions for integrated and sustainable urban transportation systems.
4. Environment: - Climate Modelling: Machine learning models for predicting climate change and analysing environmental data. - Energy Management: AI systems for optimizing energy consumption, production, and distribution. - Wildlife Conservation: AI techniques for monitoring wildlife populations and detecting poaching activities. - Environmental Monitoring: ML algorithms for analysing sensor data to monitor air quality, water quality, and pollution levels. - Sustainable Agriculture: AI-driven solutions for precision farming, crop monitoring, and pest control.
5. Education: - Intelligent Tutoring Systems: AI for personalized learning experiences and adaptive educational content. - Learning Analytics: Machine learning models for analysing student data to improve educational outcomes. - Natural Language Processing (NLP): AI for automated grading, feedback generation, and language learning. - Virtual Learning Environments: AI-driven platforms for enhancing online and remote education. - Skill Assessment: ML algorithms for assessing and recommending skill development pathways for students.
6. Cybersecurity: - Intrusion Detection: AI systems for detecting and responding to cyber threats and anomalies in real-time. - Threat Intelligence: Machine learning models for analyzing and predicting cyber threat patterns. - Malware Detection: AI techniques for identifying and classifying malicious software. - User Authentication: ML algorithms for enhancing security through biometric recognition and behavior analysis. - Privacy Preservation: AI methods for ensuring data privacy and secure information sharing.
7. Ethics and Fairness: - Bias Mitigation: Machine learning techniques for detecting and reducing bias in AI models. - Explainable AI (XAI): AI systems designed to be transparent and understandable to users. - Ethical AI: Frameworks and guidelines for developing AI systems that align with ethical principles. - Data Privacy: AI methods for protecting user data and ensuring privacy. - Fairness in AI: Ensuring that AI systems are fair and do not discriminate against any groups.
8. Natural Language Processing (NLP): - Language Understanding: AI models for understanding and generating human language. - Machine Translation: ML techniques for translating text between languages. - Speech Recognition: AI systems for converting spoken language into text. - Text Summarization: Algorithms for generating concise summaries of long documents. - Sentiment Analysis: AI methods for analysing and interpreting emotions and opinions in text data.

Prospective authors are invited to submit full length paper as per prescribed format, with name, affiliation, telephone and e-mail address electronically by 10 March-2025. Soft copy of full length paper with maximum of 5 pages are required to be submitted in “camera-ready” form in prescribed format. The template for paper submission is available on FKEMA2025 website:

RESEARCH

The paper will be submitted online using Microsoft CMT using the link:

cmt3.research.microsoft.com

Any clarification may please be addressed using email:

Email: FEKMA-2025@jitnagpur.edu.in

It is mandatory for one of the authors to register and present the paper in online mode for inclusion in the Conference Proceeding.

Detailed Steps of Strict double blind peer review procedure:

1. Manuscript Submission:

Anonymization: The author submits their manuscript to the journal, ensuring all identifying information (author names, affiliations) is removed and replaced with a unique code to maintain anonymity. 

2. Editorial Assessment:

Initial Review:

The journal editor conducts a preliminary assessment of the manuscript for suitability and relevance to the journal's scope. 

Reviewer Selection:

The editor identifies potential reviewers who are experts in the research field, ensuring no conflicts of interest with the authors. 

3. Blind Review Process:

Reviewer Assignment:

The manuscript is sent to the selected reviewers, with no author information provided. 

Independent Evaluation:

Each reviewer thoroughly assesses the manuscript based on criteria like originality, methodology, results, discussion, and overall quality, providing detailed feedback and recommendations. 

Review Submission:

Reviewers submit their evaluations to the editor, again without revealing their identity. 

4. Editorial Decision:

Review Analysis:

The editor carefully analyzes all reviewers' feedback and considers their comments to make a decision regarding publication. 

Potential Outcomes:

Accept: Manuscript is accepted for publication as is. 

Accept with Revisions: Author is requested to make revisions based on reviewers' feedback and resubmit the manuscript. 

Reject: Manuscript is not suitable for publication in the current form. 

5. Author Response:

Revisions:

If revisions are requested, the author addresses all reviewer comments and submits a revised version of the manuscript.

Re-review (if necessary):

Depending on the journal policy, the revised manuscript may be sent back to the original reviewers or new reviewers for further evaluation.

Note for Authors

• It is the prime responsibility of the authors to address reviewers’ comments in the final manuscript. You can go through the reviewer’s comments from your account in 
• Microsoft Conference Management Toolkit (CMT) portal: https://cmt3.research.microsoft.com/FKEMA-2025 (PROPOSED) .
• The number of pages is limited to six (6). No author should exceed the limit. Don’t include author biography in your paper.
• The similarity score or plagiarized content of the camera-ready paper should not be more than 15% including bibliography otherwise your paper will not be accepted for publication.

• Shri. Maheshji Sadhwani Chairmen , JIT Nagpur
• Shri Virendra Kukreja Secretary , JIT Nagpur
• Dr. Hemant Asrani Director, JIT Nagpur
• Shri Pramod Pampatwar Director Technical, JIT Nagpur

• Dr. NARENDRA BAWANE PRINCIPAL, JIT NAGPUR

• Dr. SOHEL BHURA VICE PRINCIPAL, JIT NAGPUR

• Dr. Nishchal Puri Professor, CSE

Submit Paper

•  Prospective authors are invited to submit original papers, which have not been published elsewhere and are not currently under consideration in another journal, conference or workshop.
•  Original research papers should be submitted as per the conference paper template (given below), not exceeding six A4 size pages and paper should be uploaded through Microsoft CMT.
•  There will be a double blind review of the paper. The paper must include an abstract of about 150 words and a maximum of five keywords. Authors of the accepted papers will be informed by email. Information about necessary revisions will be communicated to the corresponding author through email. The author(s) will have to incorporate the suggestions and will have to send the revised camera ready copy of the paper in the given time limit.
•  Please find the Template and author guidelines.
•  Use US Letter size in the case of MS Doc.