Our Team

Meet Our Interdisciplinary Team

Leading academicians and scientists from universities and industries across continents, working together to solve real-world problems.

Founder & Director

Prof. Dr. Arif Rahman

Founder & Research Director

A visionary researcher with over 20 years of experience in AI, machine learning, and data science. Leading SynthaNano with a mission to bridge computational intelligence and physical sciences.

Machine LearningData ScienceAI Ethics

180 papersh-index 42

Advisors

Prof. Dr. Sara Karim

Advisor — Robotics & Autonomous Systems

Distinguished professor specializing in SLAM, multi-robot systems, and autonomous navigation with extensive industry collaboration.

SLAMPath PlanningMulti-Robot Systems

120 papersh-index 35

Advisors

Prof. Dr. Nadia Begum

Advisor — Nanotechnology & Materials

Leading expert in nanofabrication, thin films, and quantum dots with pioneering work on flexible optoelectronic devices.

NanotechnologyThin FilmsQuantum Dots

95 papersh-index 30

Lead Researchers

Dr. Mahmud Hasan

Lead Researcher — AI & Healthcare

Specializes in federated learning, explainable AI, and clinical decision support systems for healthcare analytics.

Federated LearningExplainable AIHealthcare AI

65 papersh-index 22

Lead Researchers

Dr. Fatima Sultana

Lead Researcher — Computer Vision

Research focuses on vision transformers, few-shot learning, and generative models for medical image synthesis.

Vision TransformersFew-Shot LearningGenerative AI

55 papersh-index 20

Lead Researchers

Dr. Kamrul Islam

Lead Researcher — Material Science

Computational materials scientist working on high-entropy alloys and ML-accelerated materials discovery.

Computational MaterialsHigh-Entropy AlloysCALPHAD

48 papersh-index 18

Researchers

Rakib Chowdhury

Researcher — Robotics & Drones

PhD candidate working on multi-agent reinforcement learning for drone swarms and autonomous navigation.

MARLDrone SwarmsPath Planning

22 papersh-index 10

Researchers

Tariq Ahmed

Researcher — Object Detection

Developing lightweight detection models for edge deployment in medical and autonomous driving applications.

YOLOEdge AIDomain Adaptation

18 papersh-index 8

Research Assistants

Sumaiya Akter

Research Assistant — IoT

Master’s student researching low-power edge computing architectures for smart city sensor networks.

Edge ComputingIoT SecurityLow-Power Design

8 papersh-index 4

Research Assistants

Mehedi Ali

Research Assistant — Computer Vision

Working on few-shot action recognition and cross-environment domain adaptation for autonomous systems.

Action RecognitionDomain Adaptation

6 papersh-index 3

Interns

Liu Wang

Research Intern — Software Systems

Undergraduate researcher exploring formal verification of distributed systems and quantum software.

Formal MethodsDistributed Systems

3 papersh-index 2