Automated Author ProfileUddin, Md Gius
Aalto University0000-0001-8917-7627
Uddin, Md Gius
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Reconstructive optoelectronic spectroscopy has generated significant interest in the miniaturization of traditional spectroscopic tools, such as spectrometers. However, most state-of-the-art demonstrations face fundamental limits of rank-deficiency in the photoresponse matrix. In this work, we demonstrate a miniaturized spectral sensing system using an electrically tunable compact optoelectronic interface, which generates distinguishable photoresponses from various input spectra, enabling accurate spectral identification with a device footprint of 5μm×5μm. We report narrow-band spectral sensing with peak accuracies of ∼0.19 nm in free space and ∼2.45 nm on-chip. Additionally, we implement broadband complex spectral sensing for material identification, applicable to organic dyes, metals, semiconductors, and dielectrics. This work advances high-performance, miniaturized optical spectroscopy for both free-space and on-chip applications, offering cost-effective solutions, broad applicability, and scalable manufacturing.
Authors
- Cui, Xiaoqi ;
- Nigmatulin, Fedor ;
- Wang, Lei ;
- Reduto, Igor ;
- Liapis, Andreas C. ;
- Du, Mingde ;
- Uddin, Md Gius ;
- Abde, Mayeen Shafi ;
- Ahmed, Faisal ;
- Zhang, Yi ;
- Yoon, Hoon Hahn ;
- Lipsanen, Harri ;
- Honkanen, Seppo ;
- Aalto, Timo ;
- Yang, Zongyin ;
- Hasan, Tawfique ;
- Cai, Weiwei ;
- Sun, Zhipei