Dr. Anusuya Pal | Temporal Data Patterns | Best Researcher Award

Dr. Anusuya Pal at The University of Tokyo, Japan

👨‍🎓 Profiles

👤 Summary

Dr. Anusuya Pal is a physicist specializing in Soft-Condensed Matter and Biophysics. Her research focuses on emergent morphological patterns, interfacial properties, and collective behavior in colloidal systems, utilizing image processing and machine learning techniques.

🎓 Education

Dr. Pal is currently a JSPS Post-doctoral Research Fellow at the Graduate School of Arts and Sciences, University of Tokyo. She previously held a post-doctoral position at the University of Warwick, UK. She earned her PhD in Physics from Worcester Polytechnic Institute (WPI) with a dissertation on self-assembly in bio-colloids, as well as an M.Sc. in Physics from WPI and an Integrated Master’s from the University of Hyderabad, India.

💼 Professional Experience

With a robust background in research, Dr. Pal has published multiple peer-reviewed articles and contributed significantly to her field. She has worked in various prestigious institutions, enhancing her expertise in both theoretical and experimental physics.

🔧 Technical Skills

Dr. Pal is skilled in a range of techniques including optical microscopy, scanning electron microscopy, and image analysis using ImageJ and Fiji. She is proficient in programming languages such as MATLAB and R, and has experience with statistical analysis and scientific writing.

📚 Teaching Experience

An experienced educator, Dr. Pal has instructed in various capacities, including as an instructor for outreach programs and as a teaching assistant at WPI. She has mentored high school and undergraduate students through hands-on experiments and lectures.

🔬 Research Interests

Her research encompasses the study of colloids and suspensions, drying droplets, and complex fluids, focusing on their physical properties and behaviors. She applies innovative computational methods to deepen the understanding of these systems.

📖 Top Noted Publications

Pattern recognition of drying lysozyme–glucose droplets using machine learning classifiers

- Authors: Anusuya Pal, Miho Yanagisawa
- Journal: Physica A: Statistical Mechanics and its Applications
- Year: 2024

Texture identification in liquid crystal-protein droplets using evaporative drying, generalized additive modeling, and K-means Clustering

- Authors: Anusuya Pal, Amalesh Gope
- Journal: The European Physical Journal E
- Year: 2024

Time-Lapse Quantitative Analysis of Drying Patterns and Machine Learning for Classifying Abnormalities in Sessile Blood Droplets

- Authors: Anusuya Pal, Miho Yanagisawa, Amalesh Gope
- Journal: Preprint
- Year: 2024

Multi-class identification of tonal contrasts in Chokri using supervised machine learning algorithms

- Authors: Amalesh Gope, Anusuya Pal, Sekholu Tetseo, Tulika Gogoi, Joanna J, Dinkur Borah
- Journal: Humanities and Social Sciences Communications
- Year: 2024