Chandra Shekara Guruva Reddy | Applied Mathematics | Best Researcher Award 

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Dr. Chandra Shekara Guruva Reddy | Applied Mathematics | Best Researcher Award 

Dr. Chandra Shekara Guruva Reddy | B.M.S. College of Engineering | India

Dr. Chandra Shekara Guruva Reddy is a dedicated mathematician and researcher specializing in fluid mechanics, applied mathematics, and computational modeling. He earned his Ph.D. in Mathematics from Bangalore University in 2012, focusing on Electrohydrodynamics Surface Instabilities, after completing his M.Sc. and B.Sc. degrees from the same institution with first-class distinction. His research expertise spans spectral methods for fluid flow problems, generalized eigenvalue problems, stability analysis of fluid flows, heat and mass transfer, convective and surface instabilities, and the application of mathematical foundations in data science and machine learning. Dr. Reddy has actively contributed to ISRO-funded research projects as a Junior and Senior Research Fellow under the UGC-CAS in Fluid Mechanics, investigating electrohydrodynamic instabilities under micro-gravity environments. He has published several research papers in reputed international journals and conferences, with over 15 publications, more than 120 citations, and an h-index of 6. His recent works include mathematical modeling of drug delivery in drug-eluting stents and analytical studies on finite amplitude instabilities in double-diffusive flows. In recognition of his contributions, he received the “Best Mathematical Model” award at the 3rd Graduate Modeling Camp, Oxford University, UK, in 2011. Dr. Reddy has participated in academic exchanges with Oxford University, Cardiff University, and the Korean Institute of Science and Technology. A life member of the Indian Mathematical Society (IMS), Indian Society for Theoretical and Applied Mechanics (ISTAM), and the International Association of Engineers (IAENG), he continues to serve as an Assistant Professor in the Department of Mathematics at BMS College of Engineering, Bangalore, teaching advanced courses in linear algebra, numerical methods, graph theory, and mathematical foundations for AI and data science.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Chandan, R. R., C. R., A., Chandra Shekara, G., Elankeerthana, R., Anitha, K., Sabitha, R., Sathyamurthy, R., Mohanavel, V., & Sudhakar, M. Machine learning technique for improving the stability of thermal energy storage. Energy Reports, 8, 11716–11725.

Chandra Shekara, G. Effect of electric and magnetic fields on the growth rate of Kelvin–Helmholtz instability. Special Topics & Reviews in Porous Media: An International Journal, 10(1), 39–48.

Chandra Shekara, G. Effect of an applied magnetic field and gravity modulation on the time dependent hydro-magnetic instability. Advances in Mathematics: Scientific Journal, 10(1), 39–47.

Chandra Shekara, G. Machine learning approach for cardiovascular risk and coronary artery calcification score. BioMed Research International, 2022, Article 2632770.

Chandra Shekara, G. Solar power generation in smart cities using an integrated machine learning and statistical analysis methods. International Journal of Photoenergy, 2022, Article 5442304.

Chandra Shekara, G. Effect of oblique magnetic and electric fields on the Kelvin-Helmholtz instability at the interface between porous and fluid layers. In Advances in Mathematical Modelling, Applied Analysis and Computation (pp. 241–255). Springer.

Harsha, S. V., Chandra Shekara, G., Hemanth Kumar, C., & Mayur, D. H. Stability analysis of mixed convection of nanofluid flow through a horizontal porous channel using LTNE model. Microgravity Science and Technology, 36(4), Article 10140.

Pavan Kumar, T. V. V., Taranath, N. L., Rahul, R., Chandra Shekara, G., Sapra, P., Thandaiah Prabu, R., Metwally, A. S. M., & Kalam, M. A. Photovoltaic fuzzy-based modelling on defining energy-efficient solar devices in Industry 4.0. Optical and Quantum Electronics, 56(1), 66.

Subhrangshu Das | Bioinformatics | Best Researcher Award

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🌟Mr. Subhrangshu Das, Bioinformatics, Best Researcher Award🏆

Subhrangshu Das at CSIR-Indian Institute of Chemical Biology, India

Subhrangshu Das is a highly qualified individual with a diverse academic background and extensive experience in both computer science and structural biology/bioinformatics. He holds a B.Tech. in Computer Science & Engineering, an M.E. in Computer Science & Engineering, and is on the verge of completing his Ph.D. in Structural Biology and Bioinformatics. Throughout his career, Das has demonstrated a keen interest in interdisciplinary research, utilizing his expertise in computer science to contribute to the field of biology.

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Das has an impressive publication record, with several articles published in reputable scientific journals. His research contributions span topics such as Alzheimer’s disease detection, protein-protein interaction interface prediction, and sub-cellular organelle analysis. He has also presented his work at conferences and workshops, further showcasing his expertise and involvement in the scientific community.

Citations: 115 citations by 110 documents.

Documents: 9 documents authored.

h-index: 6. The h-index is a metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. An h-index of 6 means the author has at least 6 papers that have been cited at least 6 times each.

Education:

Das’s educational journey includes a Bachelor of Technology in Computer Science & Engineering, a Master of Engineering in Computer Science & Engineering, and a pending Ph.D. in Structural Biology and Bioinformatics. His academic achievements demonstrate a strong foundation in both computer science and biological sciences, providing him with a unique skill set for interdisciplinary research.

Research Focus:

Das’s research focuses on the intersection of computer science and biology, particularly in the areas of structural biology and bioinformatics. His work involves the development and application of computational algorithms and techniques for analyzing biological data, with specific emphasis on Alzheimer’s disease detection, protein-protein interaction interface prediction, and sub-cellular organelle analysis.

Professional Journey:

Das has a rich professional journey, starting as a Junior Research Fellow and progressing to the role of Senior Research Fellow before becoming a Research Associate at CSIR – Indian Institute of Chemical Biology. Throughout his career, he has been actively involved in research projects, contributing to advancements in structural biology and bioinformatics.

Honors & Awards:

Das has received several honors and awards for his academic and research achievements. Notable accolades include qualifying in GATE and CSIR NET exams, as well as receiving scholarships during his Master’s and Ph.D. studies. These recognitions underscore his dedication and excellence in both academic and research endeavors.

Publications Noted & Contributions:

Das has made significant contributions to the scientific community through his publications in reputable journals. His research on Alzheimer’s disease detection, protein-protein interaction interface prediction, and sub-cellular organelle analysis has advanced our understanding of these complex biological processes. Additionally, his presentations at conferences and workshops have disseminated valuable insights to the scientific community.

Title: CMT2A‐linked mitochondrial hyperfusion‐driving mutant MFN2 perturbs ER‐mitochondrial associations and Ca2+ homeostasis

  • Authors: R. Das, S. Das, S. Chakrabarti, O. Chakrabarti
  • Journal: Biology of the Cell
  • Volume/Issue: 114 (11)
  • Pages: 309-319
  • Year: 2022
  • Citations: 4

Title: Three Dimensional Face Registration by Pose Orientation and Recognition using PCA

  • Author: S. Das
  • Year: 2014
  • Citations: 1
  • Title: CCADD: An Online Webserver for Alzheimer’s Disease Detection from Brain MRI
  • Authors: P. Panigrahi, S. Das, S. Chakrabarti
  • Journal: Computers in Biology and Medicine
  • Article Number: 108622
  • Year: 2024

Title: SARS-CoV-2: From Genetic Variability to Vaccine Design

  • Authors: Nupur Biswas*, Krishna Kumar, Priyanka Mallick, Subhrangshu Das, Izaz Monir Kamal, Sarpita Bose, Anindita Choudhury, Saikat Chakrabarti
  • Editors: I. Saha, W.H. Chen
  • Publisher: Springer
  • Year: 2022

Title: Structural and Drug Screening Analysis of the Non-structural Proteins of Severe Acute Respiratory Syndrome Coronavirus 2 Virus Extracted From Indian Coronavirus Disease 2019

  • Authors: N. Biswas, K. Kumar, P. Mallick, S. Das, I.M. Kamal, S. Bose, A. Choudhury, …
  • Journal: Frontiers in Genetics
  • Article Number: 171

Research Timeline:

Das’s research timeline spans his academic journey from his Bachelor’s degree to his current role as a Ph.D. candidate. Throughout this timeline, he has been actively engaged in research projects, focusing on various aspects of structural biology and bioinformatics. His progression from a Junior Research Fellow to a Research Associate reflects his growth and expertise in the field.

Collaborations and Projects:

Das has been involved in numerous research projects, collaborating with fellow scientists and researchers to address key challenges in structural biology and bioinformatics. His projects have encompassed diverse topics such as Alzheimer’s disease detection, stroke quantification, protein-protein interaction interface prediction, and sub-cellular organelle analysis. Through these collaborations, Das has contributed to interdisciplinary research efforts and fostered innovation in the field.