Sonkaria Sanjiv Kumar Editor at IgMin Research
Our aim is to foster open communication between fields to spark innovative solutions.
Biography
Dr. Sonkaria holds a Ph.D. in Biochemistry from the University of London and is currently a Research Professor at Soft Foundry Institute (Engineering) at Seoul National University. With scientific experiences from India (Welcome Trust DBT Alliance), Germany (Max Planck Institute of Colloids and Interfaces) and France and the United Kingdom, Dr. Sonkaria is involved in a multi-disciplinary effort to advance smart material design for applications in energy, environmental and biomedical driven applications.
Research Interest
Research interests lie at the intersection of biology, materials chemistry and engineering to broaden the multidisciplinary nature of materials. Interdisciplinary areas of focus cover the broader field of biomimetics as an important directive to understand and improve the availability of novel nano- and quantum scale materials and their connection with the environment. The work is geared towards innovating more efficient energy harvesting materials, environmental and bio-sensing materials and innovating smart drug delivery devices.
Editor
Work Details
Research Professor
Seoul National University
Soft Foundry Institute, School of Engineering
South Korea
0009-0002-8336-5509 Contribution by Topic Area
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Homologous Series of Chemical Compounds in Three-component Systems (Aa+ – Bb+ – Cc–) and (Zn2+ - Ge4+ - P3-) in Generalized Form
- Examining the Causal Connection between Lipid-lowering Medications and Malignant Meningiomas through Drug-target Mendelian Randomization Analysis
- Assessment of Thermal Uniformity of Heating Plates Using a Thermal Imaging Camera
- Federated Learning- Hope and Scope
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- Development of a Mechanical Seal Closed Design Model
