Neural Research is a research center and group specializing in the field of Artificial Intelligence.
Neural Research is a dedicated research group with years of experience in Computer Science (CS), Machine Learning (ML), Artificial Intelligence (AI), and Deep Learning (DL). We have a strong track record of research and publishing, and we are now offering courses to help others master the art of conducting effective research in these fields. Our goal is to share our insights, successes, and lessons learned, providing learners with a strong foundation for a successful future in CS research.
20 July, 2025
Our instructor is sharing insights and experiences from the International Conference on Data Science, AI and Applications (ICDSAIA) held on 18–19 July 2025 at EATL Innovation Hub. Stay tuned to hear about the latest trends in AI, research discussions, and key takeaways from this prestigious event!
20 July, 2025
We are proud to share that Neural Research participated in the International Conference on Data Science, AI and Applications (ICDSAIA), held on 18–19 July 2025 at EATL Innovation Hub. The conference was jointly organized by EATL Innovation Hub, the University of Salford, Manchester, and the conference publisher.
🎉 Two of our research papers were accepted and presented:
Privacy-Preserving Prediction of Chronic Kidney Disease Using Ensemble Machine Learning with Laplacian Differential Privacy and Explainable AI
Hybrid Artificial Intelligence for Forecasting Renewable Energy Consumption with Ensemble Machine Learning and Time Series Models – authored by Wazia Haque Onti, one of our talented ML learners. Congratulations to her!
Our respected instructors Safiul Haque Chowdhury and Mohammad Mamun also represented Neural Research at the conference.
This is a proud moment for our team and community – here's to more milestones ahead!
02 July, 2025
We are proud to share this thoughtful and engaging article written by Raisa Jerin Sristy, instructor of the LLM course in Neural Research. In this piece, she reflects on how treating large language models as a playground sparked her passion for AI-based Natural Language Processing (NLP).
28 June, 2025
We are proud to share that two respected researchers and instructors in neural research, Safiul Haque Chowdhury and Mohammad Mamun, along with our outstanding Machine Learning course learner, Yeamin Safat, represented our institution at the 2nd International Conference on Next-Generation Computing, IoT, and Machine Learning (NCIM 2025).
The prestigious conference was held at Dhaka University of Engineering and Technology (DUET), Gazipur, on July 27–28, 2025.
Together, they presented three impactful research papers that address real-world challenges using cutting-edge machine learning and explainable AI (XAI) approaches:
Interpretable Heart Failure Identification Utilizing Auto Machine Learning Tools
Hepatitis C Detection from Blood Donor Data Using Hybrid Deep Feature Synthesis and Interpretable Machine Learning
Rainfall Prediction in Bangladesh Using ML and XAI
We extend our heartfelt congratulations to Mr. Chowdhury, Mr. Mamun, and Yeamin Safat for their valuable contributions. Their work not only showcases excellence in research but also highlights the practical impact of machine learning and AI in solving critical health and environmental issues.
Their achievements inspire our growing community of learners and researchers and reinforce our commitment to driving innovation through education and collaboration.
22 June, 2025
We are proud to announce that our Machine Learning course student, Wazia Haque Onti, from the Department of Electrical and Electronic Engineering (EEE), Rajshahi University, has achieved a remarkable milestone.
Her research paper titled "Hybrid AI for Forecasting Renewable Energy Consumption" has been accepted at the International Conference on Data Science, AI and Applications (ICDSAA), organized by the University of Salford, Manchester and EATL Innovation Hub, and published by Springer.
This accomplishment showcases the dedication and growing expertise of our students in solving real-world problems using Artificial Intelligence. We congratulate Wazia on this impressive achievement and look forward to more research breakthroughs from our learners!
🔗 Organizers: Salford University, EATL Innovation Hub
📚 Publisher: Springer
📌 Conference Theme: Data Science, Artificial Intelligence, and Applications
14 June, 2025
We are thrilled to celebrate a major achievement by one of our dedicated learners, Koshik Das, from Machine Learning Batch 1 at Neural Research.
Koshik’s research paper, titled "Optimized Feature-Driven Dengue Diagnosis Using Explainable Machine Learning Approaches," has been accepted at the prestigious 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN). The conference is set to be held at Bangladesh Army University of Science and Technology (BAUST), and is indexed in Scopus, ensuring international recognition and inclusion in global academic databases.
This outstanding achievement showcases Koshik’s commitment to using machine learning for real-world healthcare challenges, and reflects the high-quality mentorship and learning environment provided by Neural Research.
We are incredibly proud of Koshik and look forward to seeing more groundbreaking contributions from him and our growing community of learners!
🔗 Stay tuned for more success stories from Neural Research.
10 May, 2025
We are proud to share the outstanding achievement of Yeamin Safat, a dedicated learner from Batch 1 of our "Advance Your Research Career in Machine Learning & XAI" program. Yeaming has successfully had three research papers accepted at two renowned international IEEE conferences:
2025 International Conference on Electrical, Computer and Communication Engineering (ECCE)
2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM)
This is a testament to his hard work, persistence, and the quality of research training at Neural Research. We congratulate Yeamin on this incredible achievement and wish him all the very best in his future endeavors!