About Me
Education
Ph.D. Candidate of Biological Systems Engineering
University of California, Davis, US
2022-Present
First rank – GPA: 4/4
Thesis: AI-Driven Remote Sensing and Spectral Modeling for Advanced Monitoring of Tomato Crops
M.Sc. of Biosystem Mechanical Engineering
University of Tehran
2019-2021
First rank – GPA: 4/4
Thesis: Designing and Manufacturing an Experimental Smart Greenhouse for High-Throughput Stress Phenotyping and Plant Disease Detection by Implementing Internet of Things System and Machine Learning
B.Sc. of Biosystem Mechanical Engineering
University of Tehran
2015-2019
First rank – GPA: 4/4
Thesis: Design and construction of electric turning machine for urban agriculture
Skills
Remote Sensing Tools
- Sentinel 2 & Landsat 9 Satellites
- EMIT & ECOSTRESS Satellites
- DJI Phantom 4 Multispectral Drone
- Aerial Hyperspectral & LiDAR Systems
Programming Languages
- Python
- R
- MATLAB
- C++
Amazon Web Services
- Lambda, S3, App Runner
- API Gateway, EC2, ECR
- IAM, CloudFormation
- CloudWatch
Techniques
- Computer Vision & Image Processing
- Deep Learning & Machine Learning
- Web App Development
- Internet of Things & Robotics
Libraries
- Keras, TensorFlow, PyTorch
- scikit-learn, geemap, rasterio
- gdal, pandas, NumPy
- OpenCV, PlantCV, scikit-image
CAD & Engineering
- CATIA, SolidWorks, AutoCAD
- Abaqus, Ansys, Keyshot
GIS
- ArcGIS, QGIS, Google Earth Engine
- ENVI, Pix4D, Resonon
- Spatial Explorer, Microstation
- Terrasolid
Work Experience
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Research Assistant at Digital Agriculture Laboratory of the University of California, Davis2022-Present
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Research and Teaching Assistant at the University of Tehran2018-2022
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Teaching Physics at Bonyad Amoozeshi Ghalamchi2014-2016
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Internship at Agricultural Engineering Research Institute of Iran (AERI)2017-2022
Research Experience
- Remote Sensing for Early Detection of Branched Broomrape in Tomato from Leaf to Canopy Level
- 3D Radiative Transfer Modeling for Specialty Crops
- Wildfire Detection and Monitoring Using Satellite Imagery and Deep Learning
- Image semantic segmentation using convolutional neural networks for Agricultural Vision 2021 Competition
- High-Throughput Wheat Phenotyping for Agricultural Research Institute of Iran
Teaching Experience
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Applied Statistics in Agricultural Sciences TAUC Davis
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Introduction to Unmanned Aerial Systems for Agriculture & Environmental Science TAUC Davis
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Communications and Computing Technology TAUC Davis
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Programming with Python and MATLAB TAUniversity of Tehran
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Computer Vision and Artificial Intelligence TAUniversity of Tehran
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Industrial drawing with CATIA, SolidWorks and AutoCAD TAUniversity of Tehran
Honors and Awards
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Future Undergraduate Science Educators (FUSE) Program Scholarship from Graduate Studies2025-Present
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Election Committee of Graduate Student Association of BAE Department2025
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Best Presentation Award of American Society of Agricultural and Biological Engineering Annual International Meeting2024
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Agricultural Genome to Phenome Initiative Scholarship2024
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Bill And Jane Fischer Vegetation Management Scholarship2024
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Member of SPIE Defense + Commercial Sensing2024-Present
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Peter J. Shields and Henry A. Jastro Research Award2023
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Prestigious Dean's Distinguished Graduate Fellowship2022
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Member of ASABE (The most important Biosystem engineering society in the world)2021-Present
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Member of Iranian Elite Foundation (Bonyad Melli Nokhbegan)2017-2022
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First rank prize of Iran Internet of Things and Computer Vision Competition among all Iranian master students2020
Leadership and Mentorship
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Vice President of Graduate Student Association of Biological and Agricultural Engineering Department of UC Davis2024-Present
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Representative of Graduate Student Association of Biological and Agricultural Engineering Department of UC Davis2023-2024
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Mentoring Four Undergraduate Students at E-SEARCH Program Scholarship at the University of California, Davis2024-Present
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Mentor, AgTech Workshop (Drone & IoT) – AI Institute for Next Generation Food Systems2023-Present
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Mentoring high school students in digital agriculture through engaging lectures and hands-on projects in the Young Scholar Program2023
Journal Publications
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Multi-Trait Spectral Modeling for Estimating Grapevine Leaf Traits and NutrientsPlant Phenomics, 2025View Publication
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Early Detection of Branched Broomrape (Phelipanche Ramosa) Infestation in Tomato Crops by Using Leaf Spectral Analysis and Machine LearningIFAC-PapersOnLine, 2025View Publication
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A Review of IoT Applications in Food Processing and Related FieldsJournal of Food Processing and Preservation, 2025View Publication
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Branched broomrape detection in tomato farms using satellite imagery and time-series analysisSPIE Defense + Commercial Sensing 2025View Publication
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Leaf spectral reflectance prediction using multihead attention neural networksSPIE Defense + Commercial Sensing 2024View Publication
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Drone-based multispectral imaging and deep learning for timely detection of branched broomrape in tomato farmsSPIE Defense + Commercial Sensing 2024View Publication
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Dynamic neural network modeling of thermal environments of two adjacent single-span greenhouses with different thermal curtain positionsJournal of Agricultural Engineering, 2024View Publication
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Developing an aeroponic smart experimental greenhouse for controlling irrigation and plant disease detection using deep learning and IoTASABE 2021 JournalView Publication
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Design and construction of electric turning machine for urban agricultureJournal of Tarbiyat Modares UniversityView Publication
Conference Presentations
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Early Detection of Branched Broomrape (Phelipanche Ramosa) Infestation in Tomato Crops by Using Leaf Spectral Analysis and Machine LearningOral Presentation - Sensing - Plant Status Session - 8th IFAC Conference on Sensing, Control and Automation Technologies for AgricultureView Conference
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Drone-based multispectral imaging and deep learning for timely detection of branched broomrape in tomato farmsOral Presentation - Machine Learning Session - SPIE Defense + Commercial Sensing 2024View Presentation
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Early Detection of Branched Broomrape in Tomato by Hyperspectral SensingOral Presentation - Hyperspectral Imaging: Advances in Technologies, Analytics, and Applications Session - ASABE 2024
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Determining the best irrigation strategy for pistachio orchards with saline water and soilOral Presentation - Sustainability Session - SPIE Defense + Commercial Sensing 2024View Presentation
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Remote Sensing of Branched Broomrape in TomatoOral Presentation - 65th Weed Day of the University of California, Davis - 2024View Event
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Wildfire Detection and Monitoring Using Satellite Imagery and Deep LearningMachine Learning in Agriculture and Natural Resources Session - ASABE 2023, Lightning TalkView Schedule
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Determining the best irrigation practices for pistachio orchards with saline water and soilITSC-348 Electromagnetics & Spectroscopy Session - ASABE 2023, Lightning Talk
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Developing an aeroponic smart experimental greenhouse for controlling irrigation and plant disease detection using deep learning and IoTOral Presentation - ASABE 2021
My Mentees' Posters
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Deep Learning-Based Snow Monitoring in California Using Sentinel-2 Satellite Data for Management of Snowpack ResourcesPoster – University of California, Davis – ESEARCH Summer Program 2025View Program
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Enhancing Orchard Management with Deep Learning: Tree Segmentation Using Geospatial SAM2 Model and NAIP Aerial ImageryPoster – University of California, Davis – ESEARCH Fall Program 2024View Program
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Global Vegetation and Climate Insights Portal (GVCIP): A Google Earth Engine-Based Monitoring ToolPoster – University of California, Davis – ESEARCH Summer Program 2024View Program
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Enhancing Wildfire Monitoring Through Remote Sensing With Sentinel-2 Imagery And Python ProgrammingPoster – University of California, Davis – ESEARCH Spring Program 2024View Program
Conference Posters
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Branched broomrape detection in tomato farms using satellite imagery and time-series analysisPoster – SPIE Defense+Commercial Sensing 2025View Poster
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Seam Carving for Tree Segmentation in Dense Tree FarmsPoster – ASABE 2024
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Developing an aeroponic smart experimental greenhouse for controlling irrigation and plant disease detection using deep learning and IoTPoster – ASABE 2021
Editorial and Peer Review Activities
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Reviewer, NJAS: Impact in Agricultural and Life Sciences (Taylor & Francis)2024–Present
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Reviewer, Scientific Reports (Springer Nature)2025–Present
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Reviewer, Journal of Agriculture and Food Research (Elsevier)2025–Present
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Reviewer, Journal of Food Science (Wiley)2025–Present
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Reviewer, Smart Agricultural Technology (Elsevier)2025–Present
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Reviewer, Computers and Electronics in Agriculture (Elsevier)2025–Present
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Reviewer, Information Processing in Agriculture (Elsevier)2025–Present
Media Coverage
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Parasitic Weeds Threaten Tomato Plants on California Farms. UC Davis Teams Utilize Innovative Research Techniques to Battle an Invasive SpeciesUniversity of California Newsletter, 2023Read Article
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Parasitic Weeds Threaten Tomato Plants on California Farms. UC Davis Teams Utilize Innovative Research Techniques to Battle an Invasive SpeciesUC Davis College of Agricultural and Environmental Sciences, 2023Read Article
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Parasitic weeds threaten tomato plants on California farmsDaily Democrat Newspaper (Woodland Newspaper)Read Article
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Researchers target parasitic weed in tomato fieldsAg Alert MagazineRead Article
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The enemy underground: California researchers target parasitic weedCapital Press NewsletterRead Article
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Researchers fight weeds threatening California tomatoesOrganic Growers NewsletterRead Article
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Parasitic weeds threaten California tomato farmersUniversity of California, Davis, Plant Science NewsletterRead Article
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Broomrape: Parasitic weeds threaten California tomato fieldsTomato NewsRead Article
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Parasitic Weeds Threaten Tomato PlantsCalifornia Fruit and VegetableRead Article