Dr. Pooja Bhati
Assistant Professor
· DEPARTMENT OF MECHANICAL AND AUTOMATION ENGINEERING
Author
- APID
- 11732
- ORCID
- 0000-0001-8684-4068
- Scopus
- 55808664100
- Google Scholar
- https://scholar.google.com/citations?user=UsBLn2kAAAAJ&hl=en
- Location
- DELHI, DELHI, India
- Expertise
- POLYMER COMPOSITE, BIOCOMPOSITE, POLYMER PROCESSING, THIN FILMS, COATINGS, SURFACE MODIFICATION
- Areas of interest
- POLYMER COMPOSITES, SCAFFOLDS, POLYMER PROCESSING, 3 D PRINTING, EXTRUSION
- Member since
- December 2025
Sign in to see editorial board appointments, follow, and connect.
Sign inPublications
- A review on polylactic acid-based blends/composites and the role of compatibilizers in biomedical engineering applications
- A review on polylactic acid‐based blends/composites and the role of compatibilizers in biomedical engineering applications
- Fabrication and characterization of PLLA/PCL/Mg‐Zn‐Y alloy composite stent
- Fabrication and characterization of PLLA/PCL/Mg‐Zn‐Y alloy composite stent
- Fabrication and characterization of bioresorbable radiopaque PLLA/PCL/Mg alloy composite tubes for cardiovascular stent application
- Fabrication and characterization of bioresorbable radiopaque PLLA/PCL/Mg alloy composite tubes for cardiovascular stent application
- Hybrid Learning Models for Remaining Useful Life Prediction of Lithium-Ion Batteries in Electric Vehicles
- Hybrid Learning Models for Remaining Useful Life Prediction of Lithium-Ion Batteries in Electric Vehicles
- Physicochemical Properties of UV-Irradiated, Biaxially Oriented PLA Tubular Scaffolds
- Physicochemical properties of UV-irradiated, biaxially oriented PLA tubular scaffolds
- Predicting Relative Crystallinity of PLA/PGA Polymer Composites Using Sequential Deep Learning Approach
- Predicting Relative Crystallinity of PLA/PGA Polymer Composites Using Sequential Deep Learning Approach