Senior Associate Researcher 

Unecso Chakma

Integrated PhD Student

Southeast University, China

Bio

Unecso Chakma hails from Rangamati District, Bangladesh, and is currently serving as an Associate Researcher in Centre of Computational Research for Drug Design and Material Science and Integrated PhD Student at Southeast University, China. He began his research journey in September 2019 as a Research Assistant at the Centre of Computational Research for Drug Design and Material Science, where he contributed to multiple interdisciplinary research projects spanning computational chemistry and materials science. From January 2023 to December 2024, he was promoted to Research Associate in recognition of his continued academic and technical contributions. 

Currently, alongside his doctoral research at Southeast University, he holds a position as a Senior Research Associate  (Visiting) at the Centre of Computational Research for Drug Design and Material Science, where he collaborates on international and cross-disciplinary projects. Here, he has been leading primary research interests lie in Computational Materials Science, with a strong focus on as Team Leader: 

• Semiconductor materials.

• Photocatalysts for environmental and energy applications.

• Electrical and electronic materials modeling.

• Perovskite solar cells and optoelectronic device simulation.

• Computational Materials Science.

• Material Engineering for Electronics.

• Renewable Energy Technologies.

Unecso's work combines first-principles quantum mechanical simulations, density functional theory (DFT), and multiscale modeling to understand, design, and optimize novel materials for energy conversion and electronic applications. His research bridges materials engineering and device-level applications, aiming to contribute to the development of next-generation green technologies and sustainable energy solutions.

Research Ares: 

Computational Material Science, Electrical and Electronics, Semiconductor,  Material Engineering, Photocatalyst & Perovskite cell

Google Scholar,  Research Gate

Research Associate

Md. Eleas Kobir

Doctor of Philosphy (Ph.D.) in Chemistry at Wesleyan University, USA

Md. Eleas Kobir, Ph.D., is a researcher in the field of Chemistry, with a doctorate from Wesleyan University, USA. His multidisciplinary expertise spans cancer biology, drug discovery, bioinformatics, biotechnology, and phytochemicals. Mr. Kobir’s research focuses on identifying novel therapeutic targets and natural compounds with anticancer potential through a combination of experimental and computational approaches. Mr Kabir has joined as Research Assistant in Centre of Computational Research for Drug Design and Material Science, and he now has been working as visiting Research Associate.

He has contributed to advancing the understanding of molecular mechanisms in cancer progression and therapeutic resistance, and his work integrates tools from in silico modeling, molecular docking, and data-driven bioinformatics to accelerate drug discovery and biomarker identification.

Mr. Kobir continues to collaborate on global research initiatives aimed at translating phytochemical-based research into clinically relevant drug candidates, with an emphasis on low-toxicity and cost-effective treatments. His scholarly output includes peer-reviewed publications in high-impact journals in chemistry, biology, and interdisciplinary science.

Research Ares: Cancer Biology, Drug discovery, Bioinformatics, Biotechnology, Phytochemacals 

Google Scholar

Md Mahabub Hasan

Md Mahabub Hasan holds a Bachelor of Science (B.Sc) degree from the College of Agricultural Sciences at IUBAT—International University of Business Agriculture and Technology, Dhaka, Bangladesh. He is a passionate early-career researcher with a growing interest in the interface of computational biology and drug discovery.

His primary research interests include:

• Molecular Docking.

• In Silico Drug Design.

• Molecular Dynamics Simulations.
  
  

Mahabub is particularly focused on using computational tools and modeling techniques to understand protein-ligand interactions and explore the potential of bioactive compounds for therapeutic applications. His work leverages platforms like AutoDock, PyMOL, and Schrödinger Maestro, among others, to simulate molecular behavior and analyze binding mechanisms at the atomic level.

Through his research, Mahabub aims to contribute to the discovery of novel compounds in the fields of agricultural biotechnology and health sciences, addressing challenges related to plant protection, human health, and environmental sustainability.

Research Interest: 

Molecular Docking, In sillico, Molecalar Dynamics