Payel Das
18Patents
1h-index
32Co-inventors
46Inventor score
Filing activity: Jun 3, 2016 → May 11, 2021
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10555670B2 | Adaptive filtration of sweat artifacts during electronic brain monitoring | Human Necessities | 2 | Active |
| US11568282B2 | Mitigating adversarial effects in machine learning systems | Physics | 1 | Active |
| US11568267B2 | Inducing creativity in an artificial neural network | Physics | 0 | Active |
| US11174289B1 | Artificial intelligence designed antimicrobial peptides | Emerging Cross-Sectional Technologies | 0 | Active |
| US11164088B2 | Interactive feedback and assessment experience | Physics | 0 | Active |
| US11062616B2 | Interactive learning experience | Electricity | 0 | Active |
| US12367397B2 | Query-based molecule optimization and applications to functional molecule discovery | Physics | 0 | Active |
| US12124965B2 | Combinatorial black box optimization with expert advice | Physics | 0 | Active |
| US10718758B2 | Biosensor for optical detection of nucleotide sequence | Physics | 0 | Active |
| US11481626B2 | Generating attribute-based samples | Physics | 0 | Active |
| US12412637B2 | Embedding-based generative model for protein design | Physics | 0 | Active |
| US10839712B2 | Monitoring learning performance using neurofeedback | Human Necessities | 0 | Active |
| US10712308B2 | Biosensor for electrical detection of a nucleotide sequence | Electricity | 0 | Active |
| US10373704B2 | Reduction of surface nucleotide hybridization by optimizing a biosensor sensing surface area | Chemistry; Metallurgy | 0 | Active |
| US11416775B2 | Training robust machine learning models | Physics | 0 | Active |
| US10665325B2 | Reduction of surface nucleotide hybridization by optimizing a biosensor sensing surface area | Chemistry; Metallurgy | 0 | Active |
| US11829726B2 | Dual learning bridge between text and knowledge graph | Physics | 0 | Active |
| US12079730B2 | Transfer learning for molecular structure generation | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.