DEPARTMENT OF LIFE SCIENCE
Life Science
Dr. Vimalkumar
Designation | : | Assistant Professor |
Nature of Employment | : | Regular |
Date of Joining | : | 18/07/2018 |
Qualification | : | M.Tech,PhD |
Phone | : | 04422759215 (Ext:380) |
Email ID | : | vimalkumar.sls@crescent.education |
Google Scholar link | : | https://scholar.google.com/citations?user=_nEtq-EAAAAJ&hl=en |
Scopus Link | : | https://www.scopus.com/authid/detail.uri?authorId=57191273799 |
Orcid Id | : | 0000-0003-1507-0725 |
- Ph.D Biotechnology & Biochemistry, Ghent University, 2017
- M.Tech Nano Science & Technology, Anna University, 2013
- B.Tech Biotechnology, SRM University, 2011
- Assistant professor, School of Life Sciences, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, July 2017 to current
- Erasmus Mundus PhD scholarship (2013) awarded by European commission
- Global Engineer Leadership scholarship (2012) awarded by NTHU Taiwan
- GATE scholarship (2011) awarded by Government of India
- Medical Biotechnology
- Material Sciences
- Ranjani S, Pradeep Parthasarathy, Rameshkumar P, Vimal Kumar U & Hemalatha S, Pungent anti-infective nanocolloids manipulate growth, biofilm formation, and CTX-M-15 gene expression in pathogens causing vibriosis, Aquaculture International, 29, 859–869,2021. (IF-2.94), (Scopus indexed). https://doi.org/10.1007/s10499-021-00660-2
S.No | Name of the scholar | Title of the thesis | Year of registration | Year of Completion | Scholarship details | Outcomes |
---|---|---|---|---|---|---|
1. | Rafeedah Fathuddin | Development of Nano-biocomposite scaffolds for cancer immunotherapy | 2021 | Ongoing | – | – |
S.No | Name of the student | Title of the thesis | Year of Completion | Outcomes |
---|---|---|---|---|
1 | M.Vijayakumar | Development of Mycelium based composite materials | 2020 | Conference presentations: 1 |
2 | Priyanka chellam.M | Chitin nanofibres from fungi for Biomedical applications | 2020 | NIL |
3 | Kalaiselvi.V | Synthesis of Silver nanoparticles using biosurfactants | 2020 | NIL |
4 | Lakshanya.V | In silico screening of Anti-inflammatory compounds for Chronic Periodontitis with Type 2 Diabetes Mellitus | 2021 | Manuscript submitted to MDPI Scientia Pharmaceutica |
5 | Niveda.R | Biomaterial cues for the specific differentiation and maturation of the stem cell | 2021 | NIL |
6 | Arshad hanif | Synergic effect of Curcumin and nano carriers in SARS-CoV-2 infection | 2021 | NIL |
7 | Mohd. Aqib Aziz | Anti-viral and Anti-diabetic Properties of Peptides Produced by Fermentation of Soya-beans | 2021 | NIL |
8 | Manibharathi.S | Development of therapeutic and prophylactic vaccines for atherosclerosis | 2021 | NIL |
9 | Andrew Godwin | Development of universal dengue vaccines through immunoinformatics approach | 2023 | NIL |
10 | Eric Johnson | Nanocellulose derivatives from Bambusa vulgaris for Biomedical applications | Ongoing | NIL |
11 | Yuvaraj.S | Identification and analysis of immunogenic neoantigens for personalized cancer therapy | Ongoing | NIL |
S.No | Name of the student | Title of the thesis | Year of Completion | Outcome |
---|---|---|---|---|
1 | ILakkiya.R | Guar gum based hydrogels for biomedical applications | 2020 | NIL |
2 | Tharani.P | Optimization of Solid State Fermentation using alternative substrates through Response Surface Methodology | 2020 | NIL |
3 | S.Kirubha Sankar | Metal nanoparticles synthesis using microbial biosurfactants | 2020 | NIL |
4 | M.Navyatejashree | Nano composite scaffold with antimicrobial and anticancer activity | 2021 | NIL |
5 | Preesha christina Anand | Modeling and production of protease enzyme from agriculture waste using Rhizopus oligosporus | 2021 | NIL |
6 | Barathan.B | Isolation and screening of bacteriocin producing bacteria from fermented milk samples and its application against mouth ulcer | 2021 | NIL |
7 | Abdul Haseeb | Role of Nigella sativa against COVID and other diseases | 2021 | NIL |
8 | Jeevitha.V | Machine learning for diagnosis and treatment of Autism spectrum disorder | 2021 | NIL |
9 | Vengadesan.D | Predicitive biomarkers classification from histopathological images of colorectal cancer by transfer learning using pre-trained deep learning neural network (RESNET50) | 2021 | NIL |