IT Lab
Build. Launch. Scale. Empowering Businesses to Go Digital
Dr. Thullen’s IT Lab
At Dr. Thullen's IT Lab, our research is committed to exploring and advancing how emerging businesses—especially in the e-commerce sector—leverage digital tools and modern IT systems to build scalable, intelligent, and secure platforms.
Delivering impactful and sustainable IT solutions for all!
IT Lab Project Smaples:
• IT-20240627: Ayurveda Healthcare Portal Case Study
by Amar Dave, Dhanush Chanda, Ian Chuang, and Kanad Bhagat, Westcliff University, 06/27/2024
• IT-20240626: Enhancing FedEx Supply Chain Management System
by Twisha Patel, Washington Silva, Chukwuebuka Ozueigbo, and Siva Teja Vejandla, Westcliff University, 06/26/2024
• IT-20240625: Comprehensive Ticketing System for International Events
by Chinmay Joshi, Renu Dighe, Suryateja Guidiguntla, and Sindhu Lakshminarayana, Westcliff University, 06/25/2024
• IT-20240623: Alexa Development with AI Integration
by Henrique Nagassima, Hannan Nadeem, Terry Ng, and Shaker Morshed, Westcliff University, 06/23/2024
More projects can refer to Project and Paper page
Research Area: Digital Transformation
This focus area centers on supporting digital-first business models such as B2B, B2C, and hybrid commerce ecosystems. Our research aims to empower startups and nonprofits by developing adaptable frameworks that guide them through the full lifecycle of digital enablement—from business design to execution.
Key Research Topics Include:
1. Digital Business Models & Architecture
We explore how various digital business models (B2B, B2C, C2C, Hybrid) influence IT infrastructure requirements. Research includes aligning digital strategies with business goals to support sustainable growth, customer value, and operational efficiency.
2. IT Infrastructure Design & System Engineering
We study the selection, integration, and optimization of technology stacks—including e-commerce platforms (e.g., Shopify, Magento), payment systems (e.g., Stripe, PayPal), CRMs, and inventory management tools. Our research supports cloud vs. on-premise decisions, data architecture planning, and cybersecurity.
3. Revenue and Cost Modeling in Digital Operations
Our lab develops frameworks to evaluate digital revenue streams (e.g., subscription, freemium, affiliate marketing) and IT-driven cost structures. This includes assessing infrastructure-related expenses and forecasting ROI of tech investments.
Research Area: IT System Engineering & Optimization
This research area integrates systems engineering principles with modern IT practices, focusing on lifecycle management from initial stakeholder engagement to operational support. We emphasize evidence-based decision-making and model-driven development to enhance system performance, reduce risk, and maximize value.
Key Research Themes:
1. Project Scoping and Stakeholder Analysis
We research methods to clearly define system boundaries, identify key stakeholders, and understand organizational context, ensuring that IT solutions are aligned with business goals and user needs from the outset.
2. Needs Assessment & Requirements Engineering
Our work includes systematic approaches to eliciting, analyzing, and validating both functional and non-functional requirements, including performance, security, usability, and scalability.
3. Solution Exploration & Evaluation
We evaluate alternative design and implementation strategies through structured trade-off analysis and feasibility studies, incorporating criteria such as cost, technical complexity, and operational risk.
4. system Architecture Design & Optimization
We investigate the development of modular, secure, and maintainable system architectures—emphasizing interoperability, service orientation, and lifecycle resilience.
Research Area: Strategic IT Management & Consulting – Business Intelligence & Data Analytics
This research domain focuses on bridging the gap between data strategy and project execution, emphasizing resource efficiency, stakeholder alignment, and sustainable outcomes for both public and private sectors.
Key Research Themes:
1. Data-Driven Cost Estimating & Budget Planning
We focus on leveraging historical data and predictive analytics to improve IT project budgeting and cost control. Our research explores the use of BI platforms to build dynamic cost models that evolve with project scope and complexity.
2. Quality & Risk Management
Our lab investigates how real-time analytics and machine learning can proactively identify quality issues and mitigate project risks. We develop frameworks for building BI-powered Quality Management Plans (QMPs) and Risk Management Plans (RMPs) that are adaptable, transparent, and aligned with business priorities.
3. Integrated BI for Project Lifecycle Management
Our research emphasizes full-lifecycle integration of Business Intelligence into IT project management—ensuring that data supports decisions from planning and design through deployment and maintenance.
We are committed to offering reliable IT consulting, delivering practical solutions, and empowering your team through effective training.