Ms. Bornali Baruah

Specialization:
AI, ML, Bioinformatics

Qualification	Year	Board/University	Institution
Ph.D.	Thesis submitted	Central University	North-Eastern Hill University, Shillong
M.Tech (CSE)	2019	Central University	Rajiv Gandhi University, Rono Hills, Arunachal Pradesh
MCA	2017	Central Univresity	North-Eastern Hill University, Shillong
BCA	2014	Dibrugarh University	J.B College, Jorhat
HS	2011	AHSEC	J.B College, Jorhat
HSLC	2009	SEBA	Don Bosco High School, Jorhat

Designation	Duration	Department	Institution
Guest Faculty	4 Semesters	Computer Application	North-Eastern Hill University, Shillong
Guest Assistant Professor	12 months	Dept. of Computer Science & Engineering	Rajiv Gandhi University, Rono Hills, Arunachal Pradesh
Teaching Assistantship	4 months	Dept. of Computer Science & Engineering	Rajiv Gandhi University, Rono Hills, Arunachal Pradesh

Research Publication:

B. Baruah, A. Kumar, and A. Halder, "PPHN: Deep Sequential Learning Architecture for Parkinson's Disease Prediction using Amino Acid Descriptors from Protein Sequences", Cognitive Computation (Springer Nature), 17(6), pp.1-30, 2025 — SCI Expanded, Scopus, SCImago.
B. Baruah, A. Halder, and A. Kumar, "Protein Sequence-Based Classification of Alzheimer's Disease Using Deep Learning and Attention Mechanism", Iran Journal of Computer Science (Springer Nature), 8(4), pp.2605-2633, 2025 — Scopus, Google Scholar.
B. Baruah, A. Halder, and A. Kumar, "Exploring Amino Acid Indices for the Classification of Parkinson's Proteins with the Aid of Deep Learning", Proc. International Conference on Computer, Communication, Control & Information Technology (C3IT), IEEE, Academy of Technology, Adisaptagram, West Bengal, 2024.
B. Baruah, A. Kumar, A. Halder, and A. Hazarika, "PD-Protein-CapsNet: Capsule Network-Based Deep Learning Framework Using Amino Acid Indices for Parkinson's Protein Classification", Proc. International Conference on Computational Intelligence and Communication Networks (CICN), IEEE, National Institute of Technology, Goa, 2025.
A. Hazarika, A. Kumar, A. Halder, and B. Baruah, "Cancer Subtype Detection from Multi-omics Data using LSTM-Attention Mechanism", Proc. International Conference on Computational Intelligence and Communication Networks (CICN), IEEE, National Institute of Technology, Goa, 2025.

PAPERS PRESENTED:

"IoT based Smart Irrigation System", National Seminar on Conservation of Biodiversity (NSCB 2022), Biotech KISAN Hub, NEHU Tura Campus, Meghalaya (funded by DBT, New Delhi), 2–3 September 2022.
"SARS-CoV-2 Structural Protein Classification: An Empirical Study", International Conference on Environment and Sustainable Development (ICESD 2022), Biotech KISAN Hub, NEHU Tura Campus in collaboration with Dept. of Computer Application, NEHU, 24–25 November 2022.
"Parkinson's Disease Prediction using Machine Learning and Deep Learning Techniques from Protein Sequences", National Conference on Mathematics and its Applications-II (NCMA-II), Department of Mathematics, Cotton University, Guwahati, 7–8 November 2023.
"Machine Learning Approaches to Classify Protein's Family Based on the Protein Sequences", Symposium for Research Scholars, NEHU Tura Campus, Meghalaya, 30–31 May 2022.

WORKSHOPS ATTENDED:

Applications of Artificial Intelligence in Healthcare (KARYASHALA), Department of Computer Application, North-Eastern Hill University, Tura Campus, 19–24 September 2022.
Basics of Computer Applications and Role of ICT, Department of Computer Application, North-Eastern Hill University, Tura Campus, 8–12 November 2021.