CV

Master of Science in Biomedical Physics and Technology

University of Dhaka

Biomedical Engineering (Specialization)

• CGPA: In Progress

Bachelor of Science in Biomedical Engineering

Khulna University of Engineering & Technology (KUET)

Biomedical Engineering

• CGPA: 3.77/4.00 — Ranked 4th in overall merit position
• ECE Evaluation (Dec 30, 2024): U.S. Equivalence — Bachelor Degree, Major: Biomedical Engineering, Grade Average: 3.91/4.00
• Thesis: Gallbladder Cancer Classification using Parallel Transfer Learning with Multi-model Feature Fusion and LSTM (99.37% accuracy)

Researcher

Bio-Neural Intelligence and Research Advancement Lab, KUET

• Leading a 3-member research team, including 2 undergraduate researchers, to design and validate NeuroSwin, a hybrid Swin Transformer-GRU model for Parkinson’s Disease classification and brain-region localization from EEG signals.

Research Assistant Intern

Ulster University

• Co-developed TransfusionNet, a hybrid architecture with a specialized preprocessing pipeline and early-layer feature fusion for cervical cancer detection, published in Results in Engineering (Elsevier, Q1, IF: 9.4).
• Created a benchmark to evaluate large language models (LLMs) in identifying disease classes, comparing results against proposed architecture MobileCoAtNet for stomach infection classification.
• Investigated foundational AI models for multi-cancer classification, implementing Model-Agnostic Meta-Learning (MAML) for domain adaptation.
• Actively researching the feasibility of LLMs for disease diagnosis, reasoning, and treatment follow-up in medical applications.
• Designed SALT, a spiking neural decoder using a state-space model to adaptively set firing thresholds, establishing a causal accuracy-energy Pareto benchmark across six architecture families for closed-loop brain-computer interfaces; under review in Neural Networks.
• Developed CT-SALT, a cross-timescale extension of SALT where a slow population branch gates a fast spiking branch’s firing threshold, improving decoding accuracy and training stability at no added energy cost.

Undergraduate Research Assistant

Department of Biomedical Engineering, KUET

• Independently conceived, implemented, and authored a solo study on gallbladder cancer classification using ensemble learning, published at ICEEICT 2024.
• Designed a hybrid model for gallbladder cancer classification using parallel transfer learning, feature fusion, and LSTM as the undergraduate thesis, of which the ICEEICT 2024 paper formed a portion; the full study is in preparation for Expert Systems with Applications.
• Conducted the literature review supporting the feature-fusion approach, drafted portions of the thesis manuscript, handled data preprocessing, and presented the completed work at the final thesis defense.

TransfusionNet: Framework for Cervical Cancer Detection using Deep Learning with Multi-level Fusion

Results in Engineering, Elsevier (Q1, IF: 7.9), vol. 28, p. 107174, 2025

Exploring Common Molecular Interactions across Multiple Cancers

EICT 2025, IEEE, Dhaka, Bangladesh, pp. 1–6

Classification of Gallbladder Cancer Using Average Ensemble Learning

ICEEICT 2024, IEEE, Dhaka, Bangladesh, pp. 1450–1455

DL3M: A Vision-to-Language Framework for Expert-Aligned Clinical Reasoning

arXiv:2512.13742 — Under review in Engineering Applications of Artificial Intelligence, Elsevier

NeuroSwin: A Swin Transformer-GRU Model for Parkinson's Disease Classification

In preparation for Biomedical Signal Processing and Control, Elsevier

CholeNet: A Recurrent-Convolutional Hybrid Ensemble Framework

In preparation for Expert Systems with Applications, Elsevier

VRX-UNet: Automated Volumetric Characterization of Intra-tumoral Structures in Gliomas

In preparation for Computers in Biology and Medicine, Elsevier

Automated PET to Fused PET-CT Mapping Using PatchGAN for Lung Cancer Diagnosis

Accepted and presented, IEEE RAAICON 2026

DeViLM: Evaluating What Deep Learning Models See and Vision-Language Models Explain in Acute Lymphoblastic Leukemia Classification

Under review in Neurocomputing, Elsevier

SALT: A State-Adaptive Leaky Integrate-and-Fire Threshold Mechanism for Pareto-Efficient Causal Neural Population Decoding

Under review in Neural Networks, Elsevier

Cross-Timescale Threshold Gating for Causal Spiking Neural Population Decoding

Manuscript in preparation

IoT Based Pilot Health Monitoring System

ESP8266 NodeMCU, Arduino, Blynk IoT

• Developed an IoT-Based Pilot Health Monitoring System using ESP8266 NodeMCU, programmed with Arduino IDE, and sensors like MAX30100, DS18B20, and BMP180, integrated with the Blynk IoT platform to monitor pilot health and aircraft state, enhancing flight safety.

MediConnect – A Video Conferencing App for Telemedicine and Healthcare

Java, Firebase

• Developed a secure video conferencing app for telemedicine as part of the Telemedicine & Health Care Laboratory individual project, utilizing Java, Firebase, and ZEGOCLOUD for effective remote healthcare communication.
• Implemented features like sharing medical images, prescriptions, and real-time chat to support comprehensive virtual medical consultations.

VitaSync: A Smart Band for Telemedicine Applications

Sensors, Mobile App Development

• Remodeled a wearable device for the Telemedicine & Health Care Laboratory group project, integrating sensors to track vital metrics such as heart rate, body temperature, and blood oxygen levels.
• Developed a real-time data transmission system with a mobile app and an alert mechanism to notify users and contacts of health irregularities via email.

Telechroma: A Smart Colorimetric Analyzer for Telemedicine Applications

Arduino, MIT App

• Developed Telechroma, a portable and affordable colorimetric analyzer for telemedicine applications, enabling remote diagnostics of glucose concentrations in urine samples.
• Integrated hardware (Arduino Nano, TCS3200) with a mobile app for real-time data transmission and analysis.

Sanitary Napkin Vending Machine

RFID, Arduino Mega, Stepper Motors

• Designed and built an automated Sanitary Napkin Vending Machine using RFID, Arduino Mega, stepper motors, and springs to promote menstrual hygiene through accessible and affordable technology.

International English Language Testing System (IELTS)

• Overall: 7.5
• Listening: 8.5 | Reading: 7.0 | Writing: 7.5 | Speaking: 6.5

Graduate Record Examination (GRE)

• Score: 313 (Quantitative: 165, Verbal: 148)
• AWA: 3.5

4-Day Training on Computer-Aided Drug Design: A to Z with Project

Dawn of Bioinformatics Limited

• Prepared proteins and ligands (BIOVIA Discovery Studio, OpenBabel, Swiss-PdbViewer), executed docking in PyRx, interpreted binding poses and scores, and evaluated drug-likeness while assessing ADME/Toxicity.
• Ran molecular dynamics in YASARA and GROMACS (including protein–ligand simulations), processed trajectories and performed PCA to characterize conformational changes, analyzed results in Minitab, visualized structures in PyMOL, and applied the full CADD pipeline in a capstone mini-project.

Full Day Technical Workshop on Biomaterials Based Wet Lab

Bangladesh University of Engineering and Technology

• Explored the work from the paper ‘Preparation of Different Polymorphs of Cellulose from Different Acid Hydrolysis Medium’ (International Journal of Biological Macromolecules, 2019) and gained hands-on experience in preparing cellulose nanocrystals (CNC) using acid hydrolysis under expert guidance.
• Learned to operate lab equipment such as magnetic stir plates, centrifuges, ovens, autoclaves, FTIR, X-ray diffractometers, and thermogravimetric analyzers used for analyzing the morphology and properties of CNCs.

President

Advanced Bioengineering Club of KUET (ABC–KUET)

• Participated in multiple project-showcasing competitions and fostered innovation and collaboration among club members.
• Organized technical workshops including ‘NeuroInquire: Exploring EEG and Research Foundations’ and ‘ABC of Research with Hands-on Training on LaTeX’.

Student Operator

Fabrication Lab KUET

• Assisted in organizing workshops such as ‘Hands-on Training Using Fabrication Tools’ and ‘IQAC’s Hands-on-Training Program’ covering 3D printing, laser cutting, and CNC milling.
• Helped over 50 students fabricate project and thesis models, guiding them in transforming innovative ideas into real products.

Head of Human Resources

Spectrum – Professional Skill Development Club of KUET

• Managed team operations, organized skill development events, and facilitated member engagement.
• Organized the Inter-University Case Study Competition engaging 240 teams from 45 universities, securing sponsors including Bank Asia PLC, Abul Khair Group, Coca-Cola, and 10 Minute School, distributing over BDT 100,000 in prizes with 300,000+ audience interactions.

Honors in B.Sc. Engineering

Khulna University of Engineering & Technology (KUET)

Awarded to students achieving CGPA 3.75 or above.

Dean's Award (3 Times)

KUET

Awarded for achieving CGPA 3.75 or above in an academic year.

Technical Scholarship (4 Consecutive Times)

KUET

Awarded for securing the top position in the class.

IEEE YESIST12 – Finalist

BME Indoor – Champion in Chess

KUET

Intra-University Innovative Idea & Project Competition – 2nd Runner-up

FabLab KUET

National STEM Competition – Finalist

Bangladesh STEM Foundation (bdSTEM)

NHSPC – 11th Position, Mymensingh Regional Contest

General Grade Scholarship in JSC Examination

Board of Intermediate & Secondary Education, Dhaka

Talent Pool Grade Scholarship in PSC Examination

Dhaka Education Board

Neuroscience and Neuroimaging Specialization

Johns Hopkins University · Coursera

AI for Medicine Specialization

DeepLearning.AI · Coursera

Deep Learning Specialization

DeepLearning.AI · Coursera

Mathematics for Machine Learning Specialization

Imperial College London · Coursera

Python 3 Programming Specialization

University of Michigan · Coursera

Python for Everybody Specialization

University of Michigan · Coursera

Introduction to Programming with MATLAB

Vanderbilt University · Coursera

C for Everyone: Programming Fundamentals

University of California, Santa Cruz · Coursera

Building Arduino Robots and Devices

Moscow Institute of Physics and Technology · Coursera