Academic Qualification
- MCA from KU
- B. Sc. IT from KU
Experience
- Data – Science Intern at CSIR – NEIST, Jorhat
- Full – Stack developer Intern at IBM
- Proof - reader at Webnovel
Career Highlights & Awards:
- Expert Speaker on Naukri.com Level up your Linkdin and Naukri Profile From basic to Brilliant
- Rapporteur for the ICDDA 2024
- Founding Member at NovelPedia
Subject Interest: Artificial Intelligence, Machine Learning, Cloud Computing, DBMS, IOT, Data Structures and Algorithm
Research Interest: Artificial Intelligence (Computer Vision, Graph Neural Network, Large Language Model, Attention Mechanism, Learning Methodologies, Natural Language Processing)
Publication and Books
Conferences
- ICDDA 2025, Abir Banerjee, Amarjeet Boruah, Milonjyoti Borah, Dibya Jyoti Bora, “Automated Detection and Classification of Malaria Parasite in Blood Smears using Convolutional Neural Network”
- IEEE Conclave 2024, Abir Banerjee, Amarjeet Boruah, Milonjyoti Borah, Dibya Jyoti Bora, “Syntho Scribe: AI Powered Story Teller”
Incubation
- One of the best projects titled “Automated Detection of Malaria in Blood Smears via CNNs” in Bio-NEIST 2024. Also attended the Round Table discussion for Incubation and Start Up opportunities in CSIR NEIST.
Journals
- Mahanta, H.J., Amarjeet Boruah, Phukan, B. et al. Exploring graph-based models for predicting active compounds against triple-negative breast cancer. Mol Divers (2025).
- Abir Banerjee, Amarjeet Boruah, Milonjyoti Borah, Dibya Jyoti Bora,” Automated Detection of Malaria in Blood Smears via CNNs.” (under Review)
Book Chapters
- Abir Banerjee, Amarjeet Boruah, Dibya Jyoti Bora, “Data Augmentation Techniques for Image Processing: A Comparative Study with CNN Models.” (Abstract accepted for Book Chapter Title “Quantum Machine Learning in Image Processing: Unveiling the Future of Visual Data Analysis”, Scopus)
Technical skills
- Programming Languages: SQL, Python, Java , C
- DBMS Software: SQL Server, MySQL
- Office Tools: MS-word, Excel, Power Point, Adobe Photoshop
- Tools: RDkit, Transformer, GNN, PyTorch, Tensorflow, Numpy, Pandas, Matplotlib, Seaborn, CNN, RNN
Links
- Linkedin: https://www.linkedin.com/in/amarjeet-boruah
- ResearchGate: https://www.researchgate.net/profile/Amarjeet-Boruah
- Google Scholar: https://scholar.google.com/citations?user=fIIjLrUAAAAJ&hl=en
- Orchid ID: https://orcid.org/my-orcid?orcid=0009-0001-7984-9351
- Scopus ID: http://www.scopus.com/inward/authorDetails.url?authorID=59981722800&partnerID=MN8TOARS
