Security Log Understanding
Hybrid LLM-based labeling and dataset construction for fine-grained security analysis in modern software code logs.
PhD Student - Software Engineering Researcher
Abanti Chakraborty Shruti
I study software quality issues, software artifact vulnerabilities, and intelligent methods for understanding code logs, language, and learning systems.
- Current
- PhD in Computing and Information Systems, UNC Charlotte
- Focus
- Software quality, security logs, NLP, machine learning
- Location
- Charlotte, North Carolina
About
Research-minded software engineer building toward dependable AI-assisted software systems.
I am a PhD student at the University of North Carolina at Charlotte in Computing and Information Systems. My work connects software engineering, security-oriented code artifacts, natural language processing, and machine learning.
Before starting my PhD, I completed an MSc in Computer Science and Engineering at BRAC University and worked as a Senior Software Quality Assurance Engineer at Enosis Solutions.
Research
Current interests
Software quality issues
Software artifact vulnerabilities
Security-related code logs
Natural language processing
Machine learning
Deep learning
Trustworthy Software Systems
Research on latent security threats and ground-truth construction for evaluating software engineering artifacts.
Applied AI for Social Good
Federated learning, explainable AI, Bengali speech sentiment analysis, and interpretable health prediction models.
Selected Work
Publications and theses
Recent work spans software engineering, security-oriented code logs, explainable AI, federated learning, and Bengali speech sentiment analysis.
2026
Workshop
LLMTrust
Latent Security Threats in Modern Software Code Logs
R. Krasniqi and A. C. Shruti. 1st International Workshop on Software Engineering for and with Trustworthy LLMs, co-located with FSE 2026. Accepted for publication.
2026
Conference
EASE
A Systematic Methodology for Ground Truth Dataset Construction: Annotating Security in Code Logs
A. C. Shruti and R. Krasniqi. International Conference on Evaluation and Assessment in Software Engineering. Accepted for publication.
2025
Book Chapter
Springer
Comparison of Machine Learning Models for Early Prediction of Diabetes with LIME Interpretability
A. C. Shruti et al. ICITA 2024, Lecture Notes in Networks and Systems, vol. 1248. DOI: 10.1007/978-981-96-1758-6_3.
2024
Conference
IEEE AIIoT
DetectPLD: A Federated CNN Approach for Collaborative Potato Leaf Disease Detection
A. C. Shruti et al. 2024 IEEE World AI IoT Congress, Seattle, WA. DOI: 10.1109/AIIoT61789.2024.10578980.
2024
Thesis
MSc Thesis
Into the Heart of Bangla Speech
A multimodal Bangla speech sentiment recognition method using audio, text, image, early and late fusion, and iterative SHAP-based feature selection.
2023
Conference
ICCIT
Privacy-Preserving Knee Osteoarthritis Classification: A Federated Learning Approach with GradCAM Visualization
A. C. Shruti et al. 2023 26th International Conference on Computer and Information Technology, Cox's Bazar, Bangladesh. DOI: 10.1109/ICCIT60459.2023.10441001.
2023
Workshop
SemEval
ACSMKRHR at SemEval-2023 Task 10: Explainable Online Sexism Detection
A. C. Shruti et al. Proceedings of the 17th International Workshop on Semantic Evaluation. DOI: 10.18653/v1/2023.semeval-1.99.
2023
Conference
I2CT
Multi-criteria Decision Theoritic Approach for Tour Package Selection using Fuzzy AHP and TOPSIS Methods: A Case Study on Cox's Bazar
A. C. Shruti et al. 2023 IEEE 8th International Conference for Convergence in Technology, Lonavla, India. DOI: 10.1109/I2CT57861.2023.10126334.
2023
Conference
BigComp
A Comparative Study on Bengali Speech Sentiment Analysis Based on Audio Data
A. C. Shruti et al. 2023 IEEE International Conference on Big Data and Smart Computing, Jeju, Republic of Korea. DOI: 10.1109/BigComp57234.2023.00043.
2021
Thesis
Undergraduate Thesis
Memory-based Collaborative Filtering by Finding the Experts
An expert-identifying approach for improving collaborative filtering and reducing dimensionality in recommendation workflows.
Experience
Teaching and professional appointments
Graduate Teaching Assistant
University of North Carolina at Charlotte - ITIS 3300: Software Requirement, Analysis and Test
- Help students with course activities and assessments.
- Assist faculty in organizing and conducting course content.
Senior Software Quality Assurance Engineer, Level 2
Enosis Solutions - Dhaka, Bangladesh
- Analyzed product requirements and designed test plans and cases.
- Coordinated testing activities and developed automation scripts.
Adjunct Faculty
Ahsanullah University of Science and Technology - Dhaka, Bangladesh
- Taught Computer Networks and Introduction to Programming with C.
- Prepared lectures, course materials, and classroom activities.
Education
Academic path
PhD in Computing and Information Systems
University of North Carolina at Charlotte - ongoing
MSc in Computer Science and Engineering
BRAC University
BSc in Computer Science and Engineering
Ahsanullah University of Science and Technology
Recognition
Honors and awards
Graduate Research Engineering Poster Award, 2nd Prize
Graduate Research Symposium, UNC Charlotte.
Graduate Assistantship Support Plan Award
University of North Carolina at Charlotte.
100% Tuition Fee Waiver
BRAC University.
Dean's List of Honor
Ahsanullah University of Science and Technology.
Projects and Certifications
Software projects, demos, and professional learning.
Project
Angonaa
Women safety app.
Certificate
Python for Everyone
University of Michigan on Coursera.
Certificate
Deep Learning
DeepLearning.AI on Coursera.
Certificate
MS Excel 2016
Learnovators.
Participation
Intra AUST Project Showcase Spring 2018
AUST CSE Society.
Participation
Intra AUST Project Showcase LFR Spring 2018
AUST CSE Society.
Training
Mobile Application Developer (iOS)
Digicon Lab, ICT Division.
Participation
Mujib Borsho IT Carnival 2020
Dhaka International University.
Participation
Intra University Project Showcasing 2018
AUST CSE Society.
Workshop
Graphic Design Workshop
AUST Innovation and Design Club.
Selected Certifications
- CRA-WP Grad Cohort Workshop, 2026
- CIRTification: Community Involvement in Research Training
- CITI Program Course: Data or Specimens Only Research (IRB)
- Training for Mobile Application Developer (iOS), Digicon Technologies
- Deep Learning, DeepLearning.AI on Coursera
- Python for Everyone, University of Michigan on Coursera
Additional Participation
- Introduction to Data Science in Python, DataCamp
- Introduction to Importing Data in Python, DataCamp
- Cleaning Data in Python, DataCamp
- Machine Learning with Tree-Based Models in Python, DataCamp
- Cluster Analysis in Python, DataCamp
- Several software showcasing competitions
Skills
Technical toolkit
Programming
Python, C, C++, Java, C#, MySQL, PHP, SQLite, PL/SQL, JavaScript, Objective-C
Data Science and ML
Scikit-learn, Pandas, NumPy, PyTorch, TensorFlow, machine learning, deep learning
Quality and Automation
Cypress, Postman, Selenium, Robot Framework, Jira, Digital.ai, Confluence
Tools
VS Code, Google Colab, Jupyter Notebook, PyCharm, MATLAB, LaTeX, Microsoft Office, Google Office tools
Contact