Mr. Malu Daniel | Biotechnology | Research Excellence Award

Mr. Malu Daniel, University of Calabar, Calabar, Nigeria, Nigeria

MR. DANIEL GATIE MALU is a dynamic researcher with a B.Sc. in Genetics and Biotechnology from the University of Calabar, Nigeria. His expertise lies in drug design, discovery, and molecular docking, where he utilizes computational techniques such as density functional theory (DFT) to address complex scientific challenges. His passion for drug delivery systems, particularly for genetic disorders like Cystic Fibrosis and cancers, fuels his ongoing research. Throughout his academic journey, Daniel has developed strong problem-solving skills, a collaborative mindset, and a commitment to scientific integrity. He is currently involved in a research program at the University of Calabar, where he is utilizing advanced computational tools to contribute to biosensor development, biomarkers, and drug modeling. He aims to further his knowledge through a Master’s degree, focusing on theoretical and computational modeling, with a drive to innovate in pharmaceutical and chemical research.

Professional Profile

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Summary of Suitability for the Award

MR. DANIEL GATIE MALU’s academic achievements, research experience, and dedication to utilizing advanced computational methods for drug design and bio-simulation, he is a strong candidate for the ‘Research for Excellence Award.’ His contributions to multidisciplinary research and his commitment to addressing critical global health issues through innovative scientific solutions make him well-suited for this recognition. His work has the potential for significant scientific impact, aligning well with the award’s criteria for research excellence.

Education

Daniel Gatie Malu holds a B.Sc. in Genetics and Biotechnology from the University of Calabar, Nigeria, graduating in 2024. His undergraduate thesis, titled “Molecular Modeling of the Spectroscopic Structural and Bioactive Potential of Azadirachta indica against Plasmodium falciparum”, highlights his deep interest in molecular modeling and drug discovery. Daniel explored phytochemical analysis, including GCMS, HPLC, FT-IR, and UV-Vis analysis, to investigate the bioactive potential of plant compounds. His academic focus was on theoretical and experimental approaches to understanding drug interactions with biological systems, utilizing modern computational techniques. The thesis also involved evaluating stability, reactivity, and binding potential of compounds, laying a strong foundation for his future research endeavors. This academic background equipped him with a solid understanding of computational biology, molecular chemistry, and bioinformatics, and he seeks to apply this knowledge to cutting-edge research in drug design and theoretical modeling.

Experience

MR. DANIEL GATIE MALU has a diverse research background, starting with his industrial training at Biggmade Scientific Research Academy in 2023. There, he conducted serological tests and explored bioinformatics, focusing on drug-protein interactions. He also performed DNA extraction and plant tissue culture. Since November 2023, he has been part of the Computational and Bio-Simulation Research Group at the University of Calabar, where he is immersed in full-time research. Daniel leverages advanced computational tools such as Gaussian 16, AutoDock Vina, and PyMOL to conduct molecular docking and density functional theory (DFT) studies. His interdisciplinary research spans biosensors, biomarkers, and drug delivery systems. He has also contributed to academic publications and collaborated with peers across various scientific disciplines. Daniel’s mentorship of students and his role in academic projects demonstrate his commitment to fostering intellectual growth within his community.

Awards and Honors

Daniel Gatie Malu has earned recognition for his academic excellence and contributions to scientific research. In 2024, he became a student member of the Royal Society of Chemistry, which highlights his growing prominence in the field. His work has been instrumental in several key publications and research projects, earning him respect among his peers and mentors. His interdisciplinary research, particularly in molecular docking, density functional theory (DFT), and computational modeling, has been acknowledged within the scientific community. Throughout his academic career, Daniel has demonstrated a strong commitment to advancing knowledge in the fields of biotechnology and drug design, earning him multiple awards for his research contributions at the university level. His passion for innovative solutions in drug delivery and biosensor development has also positioned him as an emerging leader in computational biology and pharmaceutical research.

Research Focus

Daniel Gatie Malu’s research focus lies at the intersection of computational chemistry, molecular biology, and drug discovery. He employs density functional theory (DFT) and molecular docking techniques to investigate drug-target interactions, specifically for diseases like Cystic Fibrosis, Huntington’s Disease, and various cancers (BRCA1/BRCA2). Daniel is particularly interested in the design of advanced drug delivery systems such as nanoparticles and liposomes for controlled release and targeted therapies. He also explores high-throughput screening (HTS) to identify active compounds from chemical libraries, focusing on improving the pharmacokinetic and safety profiles of potential drug candidates. Additionally, Daniel investigates the absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of these compounds. His interdisciplinary research extends to biosensors and biomarkers, leveraging computational methods for innovative applications in both pharmaceuticals and environmental sciences.

Publications Top Notes

**How does the long G·G* Watson-Crick DNA base mispair comprising keto and enol tautomers of the guanine tautomerise? The results of a QM/QTAIM investigation.**

Dr. Roohollah Shirani Faradonbeh | Mining Engineering | Best Researcher Award

Dr. Roohollah Shirani Faradonbeh, Curtin University, Australia

Dr. Roohollah Shirani Faradonbeh is an accomplished mining engineer with expertise in intelligent mining, mine electrification, and sustainable resource management. Currently, he serves as an Assistant Professor at Curtin University’s WA School of Mines, where he contributes to innovative research in digital mining technologies and advanced rock mechanics. With a PhD in Mining Engineering from the University of Adelaide, his research focuses on AI-driven predictive models for rockburst risk assessment in underground mines. Dr. Shirani has published extensively on topics like mine tailings recovery, blasting optimization, and sustainable mining practices.

Professional profile

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Summary of Suitability for the “Research for Best Researcher Award” – Roohollah Shirani Faradonbeh

Dr. Roohollah Shirani Faradonbeh has an outstanding academic background and extensive experience in the field of mining engineering, making him a highly suitable candidate for the Research for Best Researcher Award. His research focuses on critical areas such as rockburst phenomena in deep underground mining, which has significant implications for safety and operations in the mining industry. His development of AI-based models and novel testing methodologies, as demonstrated in his doctoral work, has opened new frontiers in intelligent mining, especially in predicting and mitigating rockburst risks.

Education

Dr. Shirani holds a PhD in Mining Engineering from the University of Adelaide, where his thesis explored AI-based models for predicting and controlling rockburst phenomena in deep underground mines. His MSc in Mining Engineering from Tarbiat Modares University focused on minimizing blast-induced ground vibrations using gene expression programming. During his BSc at the University of Kashan, he investigated methods for reducing the back-break phenomenon in Iran’s Sungun Copper Mine. His educational journey highlights his expertise in predictive modeling, experimental mechanics, and sustainable mining practices.

Experience

Dr. Shirani has held multiple academic and industry roles, including his current position as Assistant Professor at Curtin University’s WA School of Mines. He has served as an industry advisor for Fortescue Metals Group and was a research and teaching assistant at the University of Adelaide. His teaching portfolio covers advanced topics like rock excavation technology, mine automation, and slope engineering. In addition to academic contributions, Dr. Shirani has supervised numerous PhD and M.Phil. students in fields such as autonomous mining systems, rockburst early warning tools, and environmental impact assessments for deep-sea mining.

Awards and Honors

Throughout his career, Dr. Shirani has received recognition for his contributions to mining engineering and research excellence. He has been honored with multiple academic awards for his innovative work in intelligent mining systems and AI-driven rockburst models. His research on blasting operations and ground vibration prediction has garnered attention from industry and academia alike. Additionally, Dr. Shirani has played a key role in international mining conferences, where his contributions to sustainable mining and resource recovery have been highly regarded by peers and industry professionals.

Research Focus

Dr. Shirani’s research centers on cutting-edge mining technologies, focusing on areas like mine digitalization, autonomous systems, and AI-based predictive models. He is particularly interested in the electrification and decarbonization of mining operations, as well as sustainable mine rehabilitation and waste management. His work in the experimental analysis of rockburst behavior and mine tailings recovery has paved the way for advancements in mining safety and efficiency. He also explores alternative mining methods, such as deep-sea mining and asteroid mining, reflecting his forward-thinking approach to resource extraction.