Dr. Muthurasu A | Materials Science | Best Researcher Award

Research Professor, Jeonbuk National University, South Korea

Profile

Scopus

Professional Experience:

• Design of robust electrocatalysts for energy storage and conversion applications.
• Expertise in electrochemical, spectroscopic, and microscopic characterization techniques.
• Construction and design of electrodes for batteries, fuel cells, and supercapacitors.
• Supervision of master and doctoral students.
• Development of research proposals for Korean national research funding.
• Participation in national and international conferences, lab management, group meetings, and leadership.
• Writing research papers and managing the laboratory.

Previous Positions:

• Junior Research Fellow, Council of Scientific & Industrial Research (CSIR-NET, All India Rank of 62), Central Electrochemical Research Institute, Karaikudi, Tamil Nadu, India (04/2012 – 02/2017)
• Project Assistant, Central Electrochemical Research Institute, Karaikudi, Tamil Nadu, India (11/2010 – 03/2012)

Research Contributions:

• Electrochemical synthesis of nitrogen-doped graphene quantum dots and graphene oxide.
• Synthesis of various nanomaterials for electrocatalytic applications.
• Development of monolayers on metallic substrates for electrochemical studies.
• Immobilization of enzymes on modified metal substrates.

Academic Qualifications:

• Ph.D. Chemical Science, Central Electrochemical Research Institute, Karaikudi, Tamil Nadu, India (03/2012 – 05/2017)
• M.Sc. General Chemistry, The American College, Madurai, India (03/2008 – 05/2010)
• B.Sc. General Chemistry, The American College, Madurai, India (03/2005 – 05/2008)

Awards and Fellowships:

• National Research Fellowship (NRF), Government of South Korea (2021-2024)
• Brain Korea 21(Four) Postdoctoral Fellowship, Jeonbuk National University, Republic of Korea (12/2020)
• Junior and Senior Research Fellowship, Council of Scientific and Industrial Research (CSIR-NET), Government of India (04/2010 – 02/2017)
• Graduate Aptitude Test for Engineering (GATE-2010), Government of India (All India Rank of 946)
• Best Oral Award, Nineteenth Convention of Electrochemistry (NCE-19), National Institute of Technology, Tiruchirappalli, Tamil Nadu, India (29/03/2016)
• Best Oral Award, BIN conference, Jeonbuk National University, Jeonju, South Korea (15/12/2020)

Selected Publications:

1. A. Muthurasu, T. Kim, T. Hoon Ko, K. Chhetri, H.Y. Kim. “Interfacial electronic modification of nickel phosphide via iron doping: An efficient bifunctional catalyst for water/seawater splitting,” Adv. Funct. Mater. (2024) 10.1002/adfm.202404254.
2. Y.R. Rosyara, A. Muthurasu, et al. “Highly Porous Metal-Organic Framework Entrapped by Cobalt Telluride-Manganese Telluride as an Efficient Bifunctional Electrocatalyst,” ACS Appl. Mater. Interfaces. 16 (2024) 10238-10250.
3. A. Muthurasu, V. Ganesh. “Tuning optical properties of graphene quantum dots using photoexcited TiO2 for catalytic application,” Opt. Mater. (Amst). 148 (2024) 114834.
4. A. Muthurasu, I. Pathak, et al. “Cutting-edge nitrogen, boron, and fluorine triply doped chain-like porous carbon nanofibers: a versatile solution for high-performance zinc-air batteries and self-powered water splitting,” J. Mater. Chem. A. 12 (2023) 1826-1839.
5. D. Acharya, T. H. Ko, A. Muthurasu, et al. “Double-phase engineering of cobalt sulfide/oxyhydroxide on metal-organic frameworks derived iron carbide-integrated porous carbon nanofibers for asymmetric supercapacitors,” Adv. Compos. Hybrid Mater. 6 (2023) 179.
6. A. Muthurasu, P. Sampath, et al. “Partial selenium surface modulation of metal-organic framework assisted cobalt sulfide hollow spheres for high-performance bifunctional oxygen electrocatalysis and rechargeable zinc-air batteries,” Appl. Catal. B Environ. 330 (2023) 122523.

Dr. Maha Thafar | Data mining | Best Researcher Award

Assistant Professor, Taif University, Saudi Arabia

 

Dr. Maha Thafar is an Assistant Professor at Taif University, Saudi Arabia. She specializes in artificial intelligence, machine learning, data science, and bioinformatics. Dr. Thafar earned her B.S. in computer science from King Abdulaziz University and her M.S. from Kent State University. She completed her Ph.D. at King Abdullah University of Science and Technology (KAUST), focusing on computational methods for bioinformatics. Her research aims to apply AI and machine learning techniques to biomedical and healthcare domains, with a special interest in drug repositioning.

Profile

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Education

📚 Ph.D. in Computer Science (Bioinformatics), King Abdullah University of Science and Technology (KAUST), Saudi Arabia (2016 – present)
Dr. Thafar’s doctoral research at KAUST’s Computational Bioscience Research Center focuses on developing AI-driven methods for bioinformatics applications.

📖 Master of Science in Computer Science, Kent State University, USA (2013 – 2015)
During her master’s studies, Dr. Thafar honed her skills in computer science, emphasizing machine learning and data analysis.

🎓 Bachelor of Science in Computer Science, King Abdulaziz University, Saudi Arabia
Her undergraduate education laid the foundation for her expertise in computer science and bioinformatics.

Experience

👩‍🏫 Assistant Professor, Taif University, Saudi Arabia (June 2022 – present)
Dr. Thafar is engaged in teaching and research in the College of Computers and Information Technology, where she integrates her AI and bioinformatics knowledge into her curriculum.

🎓 Ph.D. Student, King Abdullah University of Science and Technology (KAUST), Saudi Arabia (August 2016 – present)
While pursuing her doctorate, she has been deeply involved in cutting-edge research, focusing on bioinformatics and computational biosciences.

Research Interests

🔬 Dr. Thafar’s research interests encompass the development of computational methods using artificial intelligence, machine learning, and data and graph mining. She applies these techniques to biomedical and healthcare domains, particularly drug repositioning, which aims to find new therapeutic uses for existing drugs.

Publications Top Notes

Dr. Thafar has a rich portfolio of research publications, many of which are highly cited and published in prestigious journals. Here are some notable publications:

1. FutureCite: Predicting Research Articles’ Impact Using Machine Learning and Text and Graph Mining Techniques (2024), Mathematical and Computational Applications
   Cited by: This article explores the prediction of research impact using advanced machine learning techniques.
2. OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features (2023), Frontiers in Genetics
   Cited by: This research utilizes BERT embeddings to identify new therapeutic targets in oncology.
3. Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets (2023), Scientific Reports
   Cited by: A study leveraging machine learning to uncover biomarkers and targets for Alzheimer’s disease.
4. VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants (2023), Briefings in Bioinformatics
   Cited by: This paper introduces a deep learning method for predicting genetic variant functions.
5. Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications (2022), PeerJ
   Cited by: An innovative approach combining knowledge graphs and text for drug interaction predictions.