resume

Postdoctoral Research Associate

Commonwealth Cyber Initiative, Virginia Tech

Conducting advanced research in AI assurance and cybersecurity for critical infrastructure. Developing robust and explainable machine learning methods for cyberattack detection in cyber-physical systems with applications in water distribution and agricultural networks.

• AI Assurance for Critical Infrastructure
• Explainable AI for Cybersecurity
• Real-time Threat Detection Systems
• Cyber-Physical Systems Security
• Machine Learning Robustness and Reliability

Graduate Research Assistant

A3 Lab & Commonwealth Cyber Initiative

Led the development of advanced AI models for threat detection in water supply systems, improving the efficacy and explainability of real-time cyber-physical threat detection methods.

• Cyber-physical Attacks Detection: Increased concealed attack detection accuracy by 25%, reduced false positives by 30%
• AI-based Decision Support System
• Context-aware AI Framework: Designed context-aware AI frameworks using Temporal Fusion Transformer
• Precision Agriculture
• AI Assurance Frameworks

Graduate Research Intern

BEM Controls LLC

Developed and tested the Building Energy Management Open Source Software (BEMOSS) for IoT and smart grids.

Graduate Research Assistant

Advanced Research Institute

Developed 13 building models in SketchUp and conducted analyses to optimize the scheduling and operation of smart appliances.

• Building Energy Modeling
• Demand Response Analysis

System Engineer

Grameenphone Ltd.

Led the swift deployment of Dhaka’s city-wide LTE network and developed various tools and systems to enhance network management and reliability.

• Developed a Telegram BOT
• Implemented DWDM and IPBH router protection systems
• Created a C# billing tool
• Developed an energy-efficient fuel generator controller
• Accelerated LTE deployment speed by 20%
• Reduced network downtime by 30%

PhD

Virginia Polytechnic Institute and State University

Computer Engineering

• Deep Learning
• Reinforcement Learning
• Optimization Techniques
• Statistics in Research
• AI Assurance Methods
• Cybersecurity for Critical Infrastructure

MS

Virginia Polytechnic Institute and State University

Computer Engineering

• Advanced Machine Learning
• Network Architecture and Protocol
• Cybersecurity and IoT
• Applied Linear Systems

BS

Bangladesh University of Engineering and Technology

Electrical and Electronics Engineering

Intelligent Water Systems Challenge Winner

The Water Research Foundation

Winner of the 2022 Intelligent Water Systems Challenge for developing AI-driven tools deployed in real-time operational settings at a major US wastewater treatment facility.

2nd Place for Line-following Robot Design

BUET Contest

Context-driven Deep Learning Forecasting for Wastewater Treatment Plants

ACM Transactions on Cyber-Physical Systems

Novel hybrid deep-learning architecture for accurate short-term forecasting in wastewater treatment operations.

AI Methods for Anomaly Detection in Cyber-Physical Systems: With Application to Water and Agriculture

PhD Dissertation, Virginia Tech

PhD dissertation on AI-driven anomaly detection methods for critical infrastructure protection in water distribution and agricultural systems.

P2O: AI-Driven Framework for Managing and Securing Wastewater Treatment Plants

Journal of Environmental Engineering

AI framework for prediction, protection, and optimization of wastewater treatment plant operations.

Outlier detection using AI: a survey

AI Assurance Book Chapter

Comprehensive survey of AI techniques for outlier detection across multiple domains and applications.

Deep H2O: Cyber attacks detection in water distribution systems using deep learning

Journal of Water Process Engineering

Deep learning models for detecting concealed cyber attacks in water distribution systems using TGCN and HCAE approaches.

Assessing the Impact of Cyber Attacks on Water Distribution Systems: A Deep Learning Approach

IEEE Access

Comprehensive evaluation of GAN models for generating realistic synthetic datasets to overcome data scarcity in water distribution systems.

Model-Agnostic Scoring Methods for Artificial Intelligence Assurance

2022 IEEE 29th Annual Software Technology Conference

Two model-agnostic AIA pipelines for scoring explainability, safety, and security across domains.

Realtime management of wastewater treatment plants using AI

2022 International Water Symposium

Real-time AI-driven decision support system (RADS) for cybersecurity, prediction, and optimization in wastewater treatment.

The application of artificial intelligence assurance in precision farming and agricultural economics

AI Assurance Book Chapter

AI2Farm model providing predictions and guidance for agricultural decision-making during conventional and unconventional times.

AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI

Academic Press

Co-authored book on AI assurance frameworks covering trustworthiness, explainability, safety, and ethical considerations.

DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy

2021 IEEE Symposium Series on Computational Intelligence

Deep learning framework using LSTM networks to predict commodity production considering outlier events' impact on global economy.

Quantification of Peak Demand Reduction Potential in Commercial Buildings due to HVAC Set Point and Brightness Adjustment

2021 IEEE Power & Energy Society General Meeting

Investigation of peak demand reduction potential in commercial buildings through HVAC and lighting adjustments in microgrid environments.

Applications of machine learning for precision agriculture and smart farming

The International FLAIRS Conference Proceedings

Comprehensive applications of machine learning techniques in precision agriculture and smart farming systems.

Implementation of microcontroller based Maximum Power Point Tracker (MPPT) using SEPIC converter

2015 IEEE International WIE Conference on Electrical and Computer Engineering

Design and implementation of an economical and compact MPPT system using SEPIC converter with Incremental Conductance method.