ICMCEL 2025 Workshops

We welcome submissions of papers in workshops (maximum two (2) pages), including all figures, tables, and references, submitted in PDF format. Authors may optionally include an appendix (will not be counted in page limit), though it will not be considered during the review process.

Authors may submit papers to any of the four(4) workshops listed below. Authors are also allowed to submit to multiple workshops. Papers that have been previously published, are currently under review, or are archived at other venues are also acceptable for submission as workshop papers,provided the authors are the same. To prepare your manuscript, please utilize the LaTeX style files for ICMCEL 2025 mentioned on the submission page and ensure compliance with all ICMCEL 2025 Author Guidelines. All submissions must maintain anonymity by excluding personally identifiable information for double-blind peer review.

The review process will follow a double-blind peer review system, conducted through Microsoft CMT. Accepted papers will be featured in a dedicated poster session, with selected authors invited to deliver lightning talks. All workshop papers will be archived in Axios Press in Open Access format to ensure broad visibility of our workshop contributions.

Accepted papers, accompanied by brief video presentations, will be made available on the conference website for public access. Best Paper Awards (Workshop Track) will be presented to contributions that demonstrate exceptional societal impact and innovation. Workshop submissions follow the same procedure as regular main conference papers (short & long).

Submission Guidelines Submit Workshop Papers
Workshop 1

Generative AI Applications Across Domains

Overview
This workshop explores the transformative potential of generative artificial intelligence technologies across diverse domains including healthcare, education, creative industries, business, and scientific research. Participants will examine cutting-edge applications of generative models such as GPT, DALL-E, Stable Diffusion, and emerging AI systems that are revolutionizing how we create, analyze, and interact with digital content. The workshop will showcase real-world implementations, discuss ethical considerations, and explore the societal implications of generative AI adoption across different sectors.
Goals
To provide comprehensive insights into the practical applications of generative AI technologies across multiple disciplines. Attendees will learn to identify opportunities for implementing generative AI solutions in their respective fields, understand the technical foundations and limitations of current generative models, and develop strategies for responsible AI deployment. The workshop aims to foster interdisciplinary collaboration, encourage innovative thinking about AI applications, and equip participants with knowledge to leverage generative AI for solving complex domain-specific challenges while maintaining ethical standards and addressing potential risks.
Workshop 2

Prompt Engineering and Evaluation for Multilingual and Domain-Specific LLMs

Overview
This technical workshop delves into the art and science of prompt engineering for large language models, with special emphasis on multilingual capabilities and domain-specific applications. Participants will explore advanced prompting techniques, learn to optimize model performance across different languages including Bengali and other South Asian languages, and understand how to fine-tune prompts for specialized domains such as legal, medical, financial, and academic contexts. The workshop will cover prompt optimization strategies, evaluation methodologies, and best practices for achieving consistent and reliable outputs from LLMs in diverse linguistic and professional settings.
Goals
To master the technical skills required for effective prompt engineering and systematic evaluation of multilingual and domain-specific language models. Participants will learn to design robust prompting strategies that work across different languages and cultural contexts, develop evaluation frameworks for assessing model performance in specialized domains, and implement techniques for improving model reliability and reducing bias in multilingual applications. The workshop aims to enhance participants' ability to build practical NLP solutions that serve diverse linguistic communities and professional sectors while maintaining high standards of accuracy and cultural sensitivity.
Workshop 3

Electronics, IoT and Smart Technologies

Overview
This hands-on workshop focuses on the convergence of electronics, Internet of Things (IoT), and smart technology solutions that are shaping the future of connected systems. Participants will explore the design and implementation of intelligent electronic systems, sensor networks, edge computing devices, and smart infrastructure solutions. The workshop covers emerging technologies such as 5G integration, edge AI processing, smart city applications, industrial IoT, and sustainable electronics design. Attendees will gain practical experience with hardware-software integration, wireless communication protocols, and the development of scalable IoT architectures.
Goals
To equip participants with comprehensive knowledge and practical skills in designing, implementing, and deploying smart electronic systems and IoT solutions. The workshop aims to bridge the gap between theoretical electronics knowledge and real-world smart technology applications, enabling attendees to develop innovative solutions for smart cities, industrial automation, healthcare monitoring, and environmental sensing. Participants will learn to integrate various sensors, microcontrollers, and communication modules to create intelligent systems that can collect, process, and act upon data autonomously while considering energy efficiency, security, and scalability requirements.
Workshop 4

Data Science for Business and Social Impact

Overview
This workshop explores the application of data science methodologies to drive meaningful business outcomes and create positive social impact. Participants will learn how to leverage big data analytics, machine learning, and statistical modeling to solve real-world problems in business optimization, social development, and public policy. The workshop covers data-driven decision making, predictive analytics for business strategy, social network analysis, and the use of data science for addressing societal challenges such as poverty reduction, healthcare accessibility, education improvement, and environmental sustainability. Case studies from both developed and developing country contexts will be presented.
Goals
To demonstrate how data science can be effectively applied to generate both business value and positive social outcomes. Participants will learn to identify relevant data sources, apply appropriate analytical techniques, and translate insights into actionable strategies for business growth and social development. The workshop aims to develop skills in ethical data usage, impact measurement, and sustainable analytics practices that benefit both organizations and communities. Attendees will gain expertise in designing data science projects that address local challenges while maintaining global relevance, fostering innovation that contributes to economic development and social welfare.