Current doctoral research
Research overview →From plant bioelectric measurements to reliable analysis. Plant bioelectric potentials (BEP), from signal acquisition and preprocessing to time-series machine learning and reproducible evaluation.
Bioelectric measurement
Review electrodes, recording setups, noise and environmental conditions.
Signal processing
Study baseline drift, filtering and how preprocessing affects comparisons.
Time-series learning
Investigate sequence models and validation practices for plant signals.
These are active research directions, not claims of a deployed biosensing system. Explore research projects →
Selected publications
Full publication list →- 2026
Transformer Adaptation for Plant Bioelectric Potential Classification: A Scoping Review and Analogical Transfer Framework
Journal Article · Smart Agricultural Technology, 15 (December 2026), Article 102484
DOI ↗ - 2026
A Systematic Review of Plant Bioelectrical Potential Acquisition Systems for Edge Sensing
Conference Paper · 2026 International Conference on Current Research in Artificial Intelligence and Data Science (ICCRAIDS)
DOI ↗ - 2025
Transformer-Based Models for Enhanced Plant Bioelectric Signal Classification
Conference Paper · 2025 9th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)
DOI ↗
Academic background
About →Education, academic experience, teaching and scholarly service are documented separately from research publications.
Doctoral study in progress and completed degrees.
Academic appointments and previous research participation.
Editorial work, peer review and scholarly activities.
Recent writing
All articles →-
Small Changes
Unexpected positive impacts of integrating daily walking into a busy student routine.
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When AI Learns to See Malaria
An accessible explanation of our research on malaria classification using GAN-augmented deep learning.
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Home for the Holidays
Reflections on the Eid holiday homecoming (mudik) and rural life.