About Us

Welcome to our research lab established in Dec.2023, an exclusively virtual entity transcending geographical boundaries. Our primary mission is to establish a decentralized research hub accessible to individuals worldwide. Committed to spearheading groundbreaking research, our focus lies on pioneering endeavors that promise to shape the future and leave an indelible impact. We are dedicated to fostering a global community of volunteers, interns, and trainees, providing invaluable opportunities for collaborative learning and skill development. Join us on this transformative journey as we redefine the landscape of impactful research.

Recent Updates

Federated Learning Used for Secure Kidney Imaging Diagnosis

A recent study published in June 2025 presents a method that uses explainable federated stacking models with encrypted gradients for diagnosing kidney conditions from medical images. This method helps protect patient data while allowing multiple hospitals to work together to improve diagnosis accuracy.

Secure Federated Learning Applied to Parkinson’s Disease Diagnosis

A new study published by IEEE presents a Secure Federated Learning (SFL) method for diagnosing Parkinson’s Disease using patient data from multiple sources. The research introduces a way to handle non-identical data distributions (Non-IID) and applies homomorphic encryption to protect sensitive information during model training.

AI-Based Emission Predictions Support Environmental Sustainability

By highlighting emission patterns across different manufacturers and fuel types, this research provides valuable insights for policymakers and automotive industries. The approach supports data-driven decisions for reducing carbon emissions and promoting sustainable transportation systems.

Sharia Arfin Tanim

Founder

shariarfin096@gmail.com
Google Scholar Profile

A. R. Aurnob

Co-Founder

M. I. Hossain

Co-Founder

S. S. Jisha

Co-Founder

Research Units

Unveiling tomorrow's solutions with passion as our guide.

Artificial Intelligence

AI pertains to the advancement of computational systems that are proficient in executing duties that conventionally demand human intelligence. This includes decision-making, speech recognition, problem-solving, and learning.

Machine Learning

A subfield of AI, Machine Learning focuses on the development of algorithms that instruct computers to recognize patterns in data. It enables the autonomous performance enhancement of systems without the need for explicit programming.

Computer Vision

Computer Vision is the process of facilitating the interpretation and comprehension of visual data by machines. It consists of image recognition, object detection, and facial recognition, among other duties.

Data Science

Data Science is a multidisciplinary discipline that extracts knowledge and insights from structured and unstructured data using scientific processes, algorithms, methods, and systems. Examining and interpreting data in order to discern patterns, discern insights, and arrive at well-informed business decisions constitutes data analytics.

Federated Learning

Federated Learning is a decentralized machine learning approach where models are trained collaboratively across multiple devices or servers while keeping the data localized. It ensures privacy by avoiding the need to transfer raw data, making it particularly useful in applications like personalized recommendations, healthcare, and finance, where data security is critical.

Image Processing

Image processing is a core component of computer vision that includes manipulating and analyzing digital images using algorithms and techniques. In image processing, machine learning is frequently used for object detection, recognition, sharpening, restoration, pattern recognition, and retrieval from large datasets.

Members

Guiding Visionaries, Shaping Success: Our Board, Your Future

Dr. Farook Sattar

Advisor

Dr. Muhibul Haque Bhuyan

Advisor

Al Rafi Aurnob

Researcher

MD. Istiaque Hossain

Abdullah Muhammad Hamja

Research Trainee

Greetings and welcome to

Learnify Research Lab

Discovering Tomorrow's Knowledge Today

About Us

Recent Updates

Federated Learning Used for Secure Kidney Imaging Diagnosis

Secure Federated Learning Applied to Parkinson’s Disease Diagnosis

AI-Based Emission Predictions Support Environmental Sustainability

Meet the Founders

Sharia Arfin Tanim

A. R. Aurnob

M. I. Hossain

S. S. Jisha

Research Units

Artificial Intelligence

Machine Learning

Computer Vision

Data Science

Federated Learning

Image Processing

Members

Dr. Farook Sattar

Dr. Muhibul Haque Bhuyan

Al Rafi Aurnob

MD. Istiaque Hossain

Sarzila Sahrin Jisha

MD Rokon Islam Emon

Rubaba Rahman

Tahmid Enam Shrestha

Tapu Biswas

Sumit Kanti Sarker

Gazi Mohammad Imdadul Alam

Tonmoy Mohajan

Maruful Islam

Md. Rakib Hasan

MD Tanbin Tushar

Tazneen Sultana

Md. Fahim Hossain

Md. Husain Hamid Chowdhury Ruddro

Talukder Hasnat Zadid

Mohammad Rifat Hossen

Razowana Khan Mim

Farhan Sadik

Abdullah Muhammad Hamja

Contact US