Ishmam Ahmed Solaiman
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Role not yet determined Is this you? Add your title
Also affiliated: University of Arkansas System (2025); BRAC University (2022)
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Ishmam Ahmed Solaiman researches the application of machine learning and large language models to various domains, including healthcare and content generation. His work has focused on developing ensemble models and multimodal approaches for tasks such as COVID-19 detection from X-rays, predicting heart disease, and advancing dental diagnosis. He has also investigated multiagent systems for educational content creation and YouTube content discovery.
Solaiman collaborates with researchers like Nahiyan Bin Noor from the University of Arkansas for Medical Sciences, with whom he shares two publications. His research interests extend to areas such as cuisine recognition, utilizing deep learning and vision-language models. His scholarship metrics include an h-index of 2, with 9 total publications and 12 citations.
Metrics
- h-index: 2
- Publications: 10
- Citations: 12
Selected Publications
-
Advances in Bangladeshi Cuisine Recognition: A Review of Deep Learning, Vision–Language Models, Fine-Tuning and Parameter-Efficient Adaptation (2026)
-
Advances in Bangladeshi Cuisine Recognition: A Review of Deep Learning, Vision–Language Models, Fine-Tuning and Parameter-Efficient Adaptation (2026)
-
Advanced Techniques for Dental Diagnosis Using Multimodal Vision Language Models Approaches with Prompt Engineering & Finetuning (2025)
-
Multi-agent Analytics-Driven Content Discovery: A Narrative Contagion Approach (2025)
-
Multiagent-based Youtube Content Discovery Bot (2023)
Collaboration Network
Top Collaborators
- Advanced Techniques for Dental Diagnosis Using Multimodal Vision Language Models Approaches with Prompt Engineering & Finetuning
- Advances in Bangladeshi Cuisine Recognition: A Review of Deep Learning, Vision–Language Models, Fine-Tuning and Parameter-Efficient Adaptation
- Advances in Bangladeshi Cuisine Recognition: A Review of Deep Learning, Vision–Language Models, Fine-Tuning and Parameter-Efficient Adaptation
- Multiagent-based Youtube Content Discovery Bot
- Multi-agent Analytics-Driven Content Discovery: A Narrative Contagion Approach
- Advances in Bangladeshi Cuisine Recognition: A Review of Deep Learning, Vision–Language Models, Fine-Tuning and Parameter-Efficient Adaptation
- Advances in Bangladeshi Cuisine Recognition: A Review of Deep Learning, Vision–Language Models, Fine-Tuning and Parameter-Efficient Adaptation
- Advances in Bangladeshi Cuisine Recognition: A Review of Deep Learning, Vision–Language Models, Fine-Tuning and Parameter-Efficient Adaptation
- Advances in Bangladeshi Cuisine Recognition: A Review of Deep Learning, Vision–Language Models, Fine-Tuning and Parameter-Efficient Adaptation
- Advances in Bangladeshi Cuisine Recognition: A Review of Deep Learning, Vision–Language Models, Fine-Tuning and Parameter-Efficient Adaptation
- Advances in Bangladeshi Cuisine Recognition: A Review of Deep Learning, Vision–Language Models, Fine-Tuning and Parameter-Efficient Adaptation
- Advanced Techniques for Dental Diagnosis Using Multimodal Vision Language Models Approaches with Prompt Engineering & Finetuning
- Advanced Techniques for Dental Diagnosis Using Multimodal Vision Language Models Approaches with Prompt Engineering & Finetuning
- Advanced Techniques for Dental Diagnosis Using Multimodal Vision Language Models Approaches with Prompt Engineering & Finetuning
Similar Researchers
Based on overlapping research topics