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Md Ifraham Iqbal

Founder & Principal Consultant

Md Ifraham
Iqbal

Research at heart. Systems in practice. Intelligence for business.

Md Ifraham Iqbal is the founder of Vector Labs, a data and AI studio focused on transforming fragmented business information into structured intelligence, automated workflows, and decision-ready systems. Trained in Data Science and Machine Learning, he works at the intersection of research, product development, and business execution.

FounderAI/Data ScienceResearcher-BuilderProduct StrategyWorkflow Automation

Founder Focus

His work brings together academic research, machine learning, computer vision, forecasting, healthcare analytics, AI-driven workflow automation, and business-ready product development. Through Vector Labs and Neuronyx AI, he focuses on turning technical ideas into practical software products and decision-support systems.

Academic & Research Foundation

M.Sc. Data Science at Friedrich-Alexander University Erlangen-Nürnberg, with a major focus on Machine Learning and Artificial Intelligence. Current research focuses on AI watermarking, defensive watermarking, image security, robustness, watermark-removal attacks, and traceability in AI-generated media.

Selected Impact

Where research becomes useful.

Vector Labs / Neuronyx AI

Leads AI/software venture delivering MVP-based AI, OCR, automation, analytics, computer vision, and custom web application solutions.

Fraunhofer IEE

Built ML-based residual demand forecasting workflows for energy data and delivered reliable 1-hour trend predictions.

iTesseract / Smart Mobility

Worked on computer-vision workflows for parking-space detection, vehicle classification, number-plate recognition, and real-time vehicle counting.

AdmitFlow

Designed a CRM platform for education agencies to reduce lead drop-off, automate reminders, track documents, and improve admission workflow visibility.

BanglarHaat

Built an e-commerce marketplace platform helping small businesses and sellers create an online sales channel.

DWTM Research

Proposed a feature-weighted tabular-to-image transformation method for CNN-based tabular learning, achieving over 90% accuracy across evaluated datasets.

Research, Publications & Projects

DWTM

IEEE Access

Dengue Outbreak Prediction

Springer Nature

COVID-19 Forecasting

IEEE

Defensive Watermarking & Removal Robustness

M.Sc. Thesis Research

Sequential Semantic Non-Semantic Watermarking

Thesis Contribution

AdmitFlow

CRM Platform

BanglarHaat

Marketplace Platform

Tender Intelligence MVP

Document Intelligence

Offline Advertisement Watermarking

Brand Protection

Work with Vector Labs

Vector Labs brings together research, AI architecture, and software delivery to build systems that make business operations clearer, faster, and more intelligent.

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