Research Associate · Lecturer · Quantum AI
Available to Collaborate
Najnin
Sultana Shirin
Research Associate @ ELITE Research Lab, New York, USA · Lecturer @ Uttara University
M.Sc. Candidate · Jagannath University, Dhaka, Bangladesh
M.Sc. Candidate · Jagannath University, Dhaka, Bangladesh
Quantum Machine Learning
Variational Quantum Circuits
Healthcare AI
Natural Language Processing
Large Language Models
Computer Vision
Graph Signal Processing
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01
About Me
3.81/4
B.Sc. CGPA · First Class
Open to Collaborate
01
Identity
NS
Najnin Sultana Shirin
Research Associate · Lecturer · Quantum ML & AI
ELITE Research Lab, New York · Uttara University · Jagannath University, Dhaka
DegreeM.Sc. CSE (Ongoing)
LocationDhaka, Bangladesh
HSC GPA5.00 / 5.00
SSC GPA5.00 / 5.00
02
Vision
Working at the intersection of Artificial Intelligence and Quantum Computing — designing learning systems that extend beyond the capabilities of classical architectures.
03
Biography
I am a Research Associate at ELITE Research Lab and a Lecturer at Uttara University, where my research focuses on Quantum Neural Networks, Variational Quantum Circuits (VQCs), and Quantum NLP, leveraging superposition, entanglement, and interference to design learning systems that exceed classical limits.
My work spans the full AI stack — from parameterized quantum circuits for classification and optimization, to quantum-inspired models in NLP and Computer Vision. I am particularly interested in how hybrid classical–quantum systems can unlock new efficiencies in machine learning. My broader interests include Large Language Models, Graph Signal Processing, and Data Science.
My thesis paper, QBERT-LSTM: Quantum Intelligence Based Real-Time Mental Health Detection Using Web Scraping, reflects this end-to-end research process: I collected and curated data from online sources, cleaned and processed text for analysis, designed and evaluated hybrid quantum-classical models, and translated the findings into a published research contribution.
04
Research Interests
Quantum Neural Networks
Variational Quantum Circuits
Quantum NLP
NISQ Algorithms
Hybrid Classical–Quantum
LLMs
Healthcare AI
Graph Signal Processing
Computer Vision
Transfer Learning
05
Academic Profiles
02
News & Updates
Recent milestones, publications, and academic activities.
Sep 2026
Promotion
Promoted from Senior Research Assistant to Research Associate at ELITE Research Lab (New York, USA), advancing leadership in Quantum ML and healthcare AI research.
Aug 2026
Publication
Paper published in IEEE Access: QBERT-LSTM: Quantum Intelligence Based Real-Time Mental Health Detection Using Web Scraping. → Read IEEE Xplore PDF
Jul 2026
Appointment
Joined Uttara University as a Lecturer on 6 July, expanding teaching and research in quantum AI and healthcare intelligence.
May 2026
Promotion
Promoted to Senior Research Assistant at ELITE Research Lab (New York, USA), continuing leadership in Quantum ML and healthcare AI research.
Apr 2026
Acceptance
Paper accepted at MECON 2026, Malaysia: ACAM-MobileNetV2: Attention and Contrastive-Aware MobileNetV2 for Multi-Class Viral Skin Lesion Classification.
Mar 2026
Publication
Paper published in Intelligence-Based Medicine (Elsevier). → Read paper
Jan 2026
Enrollment
Started M.Sc. in CSE at Jagannath University, focusing on quantum AI, variational quantum circuits, and healthcare intelligence.
Oct 2025
Position
Joined ELITE Research Lab as Research Assistant (Remote), contributing to quantum ML, healthcare AI, and prototype development.
Sep 2025
Graduation
Completed B.Sc. in CSE from Jagannath University with First Class Honours. CGPA 3.81/4.00.
03
Research Areas
Spanning quantum and classical approaches to learning, with a focus on healthcare AI and intelligent systems.
6+
Research Papers
2
Published
1
Accepted
3
Under Review
9+
Projects
3.81
BSc CGPA
⚛
Quantum Machine Learning
Designing and benchmarking variational quantum circuits (VQCs) for classification and pattern recognition on near-term NISQ devices.
🩺
Healthcare AI & Diagnostics
Applying deep learning and hybrid quantum-classical models to medical imaging, histopathology, retinal disease detection, and mental health analytics.
💬
Natural Language Processing
Leveraging BERT-based models, LLMs, and quantum-enhanced NLP architectures for real-time sentiment analysis and mental health detection.
👁
Computer Vision
Developing convolutional and quantum-convolutional models for facial emotion recognition, skin lesion classification, and hand gesture recognition.
🕸
Graph Signal Processing
Studying graph neural networks and spectral graph methods for structured data learning and quantum circuit topology.
🤖
Large Language Models
Investigating fine-tuning strategies, prompt engineering, and RAG for domain-specific scientific and healthcare applications.
04
Publications
Peer-reviewed contributions in quantum machine learning, computer vision, and healthcare AI. Bold name = author's own contribution.
Filter:
MECON'26 (C)
ACAM-MobileNetV2: Attention and Contrastive-Aware MobileNetV2 for Multi-Class Viral Skin Lesion Classification
MECON 2026 — Malaysia
IEEE TQE (Journal) Quartile: N/A
Q-EmotionNet: A Quantum Convolutional Neural Network for Facial Emotion Recognition via Variational Quantum Circuits
IEEE Transactions on Quantum Engineering
Under Review
Code
QMI (Journal) Quartile: N/A
Hybrid Quantum–Classical Transfer Learning Using Vision Transformer Features for Breast Cancer Histopathology
Quantum Machine Intelligence — Springer Nature
Under Review
Code
TNNLS (Journal) Quartile: N/A
SPARK — Signal Processing with Adaptive Reconstruction via Knowledge-aware GNNs
IEEE Transactions on Neural Networks and Learning Systems
Under Review
Code
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Curriculum Vitae
Academic training and professional research experience.
Education
2026 – Present
M.Sc. in Computer Science & Engineering
Jagannath University, Dhaka
Quantum AI, variational circuits, and intelligent healthcare diagnostics. Supervised by Dr. Md. Aminul Islam.
Ongoing2020 – 2025
B.Sc. in Computer Science & Engineering
Jagannath University, Dhaka
First Class Honours. CGPA 3.81 / 4.00. Thesis: QBERT-LSTM: Quantum Intelligence Based Real-Time Mental Health Detection Using Web Scraping.
First Class · CGPA 3.812019
HSC — Science
Dhaka City College, Dhaka
GPA 5.00 / 5.00
Perfect GPA2017
SSC — Science
Birshrestha Munshi Abdur Rouf Public College
GPA 5.00 / 5.00
Perfect GPAResearch & Teaching Experience
Jul 2026 – Present
Lecturer
Uttara University · Dhaka, Bangladesh
- Delivering undergraduate courses in AI, machine learning, and quantum computing
- Supervising student research projects in quantum AI and healthcare analytics
- Collaborating on curriculum development and academic outreach
Sep 2026 – Present
Research Associate
ELITE Research Lab · New York, USA (Remote)
- Leading research in Quantum ML and NLP
- Benchmarking classical vs. quantum model performance
- Developing CNNs, GNNs, QCNNs, and LLM-based systems
- Technical writing and manuscript preparation
- Mentoring junior research interns
May 2026 – Aug 2026
Senior Research Assistant
ELITE Research Lab · New York, USA (Remote)
Nov 2025 – Apr 2026
Research Assistant
ELITE Research Lab · New York, USA (Remote)
Sep 2025 – Oct 2025
Research Intern
ELITE Research Lab · New York, USA (Remote)
06
Technical Skills
Proficiency across quantum computing frameworks, deep learning, NLP, and scientific computing.
Quantum Computing & QML
Deep Learning & Classical ML
NLP & Large Language Models
Data Science & Scientific Computing
Machine Learning95%
Python & Scientific Computing95%
Data Science & Analytics92%
Artificial Intelligence90%
Natural Language Processing90%
Computer Vision88%
Quantum Machine Learning85%
Graph Signal Processing80%
07
Research Projects
Selected implementation projects spanning quantum AI, medical diagnostics, NLP, and systems.
Quantum ML · Mental Health
QBERT-LSTM Mental Health Detection
Hybrid quantum-classical model combining QBERT and LSTM for real-time mental health detection from scraped social media text.
↗ GitHub
PennyLaneBERTLSTM
CV · Medical AI
Brain Tumor Classification
ML and deep learning system for accurate multi-class tumor detection and diagnosis from MRI medical images.
↗ GitHub
CNNPyTorch
CV · Medical AI
Chest X-Ray Pneumonia Detection
Deep learning for automated detection of pneumonia and lung-related diseases from chest X-ray radiographs.
↗ GitHub
DLOpenCV
CV · Medical AI
Retinal Disease Classification
Transfer learning approach for detecting retinal conditions and eye diseases from fundus photography.
↗ GitHub
Transfer Learning
NLP · Data Science
Mental Health Sentiment Analysis
ML and NLP models to analyse mental health signals from social media corpora with class-imbalanced training.
↗ GitHub
BERTNLP
NLP · LLM · Recommendation
Research Paper Recommendation
LLM and deep learning-based system for academic paper recommendation and automated subject classification.
↗ GitHub
LLMBERT
CV · Gesture Recognition
Hand Gesture Recognition
Real-time sign language translation using deep learning and computer vision for accessibility applications.
↗ GitHub
CNNReal-Time
ML · Recommendation
Movie Recommendation System
Collaborative filtering system for personalized movie recommendations demonstrating classical recommender fundamentals.
↗ GitHub
Collab. Filtering
IoT · Embedded Systems
Women Safety & Tracking
Real-time location monitoring and emergency alerts using A9G GSM+GPS module with IoT sensor integration.
↗ GitHub
IoTGSM/GPS
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Certificates & Training
Formal certifications in quantum computing, data science, and programming. Click any card to view the certificate.
View ↗
⚛
Quantum School Bangladesh
Quantum Computing Bootcamp
Quantum Information, Computation, Cryptography, Secure Communication, Error & Noise Models, Mathematical Foundations, and hands-on lab sessions.
View ↗
🏆
ELITE Research Lab
Excellence in Research Mentorship
In recognition of mentoring 1 research team through the ELITE Research Lab Research Training programme, held 2–6 September 2026, guiding them from research question to a submitted paper. Issued on September 09, 2026.
View ↗
✅
MECON Conference · Malaysia
Paper Acceptance — MECON 2026
Official acceptance certificate for "ACAM-MobileNetV2: Attention and Contrastive-Aware MobileNetV2 for Multi-Class Viral Skin Lesion Classification".
View ↗
IBM
IBM · CognitiveClass.ai
Data Science Tools (DS0105EN)
Comprehensive coverage of data science toolkits — Jupyter, RStudio, GitHub, and Watson Studio through IBM's Developer Skills Network.
View ↗
IBM
IBM · CognitiveClass.ai
Data Analysis with Python (DA0101EN)
Hands-on data analysis covering wrangling, exploratory analysis, model development, and evaluation using real-world datasets.
View ↗
🐍
Sololearn · Jan 2024
Python Data Structures
Certification covering Python data structures — lists, dictionaries, tuples, sets — and algorithmic complexity, demonstrating solid theoretical and practical foundations.
09
Contact
Open to research collaborations, joint publications, and academic discussions.
Najnin Sultana Shirin
Research Associate, ELITE Research Lab · Lecturer, Uttara University
M.Sc. Candidate, Jagannath University
M.Sc. Candidate, Jagannath University
@
📍
Location
Jigatala, Dhanmondi, Dhaka, Bangladesh
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