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Sarvar Abdullaev I am an Assistant Professor of Computer Science at Inha University in Tashkent, where I teach undergraduate courses and work on applied projects involving precision agriculture, integrated pest management, autonomous greenhouses and climate-change ecology. As a co-founder of amudar.io agritech startup, I have worked on OxusWS, JayhunTrap, GozanLink and HavoToza. I did my PhD at King's College London, where I was advised by Peter McBurney and Kaska Musial-Gabrys. My PhD research was funded by the IsDB Merit Scholarship for High Technology. I've won TechCrunch Disrupt Hackathon - Europe in 2014.
Email / Short Resume / CV / Google Scholar / LinkedIn / Github |
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Projects
I am interested in using game theoretic principles for analysing evolutionary dynamics of biological ecosystems, and apply these findings for solving the problems of climate change and agriculture. Below are some of the applied projects I have accomplished together with my colleagues from amudar.io: |
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HavoToza: Spatial-Temporal Interpolation of Air Pollution in Tashkent Metropolitan Area
Tashkent Municipality, 2022 [project demo] Designed and deployed 10 air pollution stations across the city; analysed the impact of urban traffic, wind speed and other climate data on pollutant concentrations such PM1.0, PM2.5 and PM10.0. |
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JayhunTrap: Pest Outbreak Prediction using Climate Data and Smart Pheromone Traps
UN ACCRF Project, 2020-2021 [project presentation] / [featured article] [project demo] karantin@amudar.io | karantin123 Designed and deployed more than 30 agro-weather stations and 12 smart pheromone traps across Ferghana valley; implemented moth counting model and used its data to determine biofix date for degree-day computation of moth's development stage |
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GozanLink: Energy Efficient Climate Monitoring System for Greenhouses
Kattakurgan, 2021 [project presentation] [project demo] gh_samarqand@amudar.io | 1234 Designed a sensor network for monitoring the use of natural gas while heating greenhouses; analysed the impact of solar radiation, outdoor/indoor temperature and humidity, wind speed, ventilation to the heating efficiency; generated operational recommendations. |
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Plant Protection and Quarantine Service Alert System for Farms of Ferghana Valley
Feghana valley, 2017-2018 [project demo] / [featured article] Developed a software solution for early SMS notification of farm-owners on disease and pest outbreaks. The solution used offline QGIS, pre-cached maps and GSM dongle to allow quarantine inspectors to disseminate SMS alerts on remote locations. The solution has been successfully deployed in State Plant Protection and Quarantine Service of Ferghana valley, Uzbekistan. (UNDP "Aid for Trade" Project) |
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Publications
I have published papers in variety of topics involving option pricing, auction theory, market design, algorithmic trading, web caching and performance evaluation. Below are some of the papers I have published in conferences and journals throughout my career: |
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Pricing Options with Portfolio-holding Trading Agents in Direct Double Auction
In Proc. of 22nd European Conference on Artificial Intelligence, Hague 2016 [paper] Simulation of European options market in McAfee's double auction environment with traders using logarithmic market-scoring rule (LMSR) for bidding their random predictions about future asset prices. |
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Emergence of Option Prices in Markets Populated by Portfolio-Holders
In Proc. of 2nd European Workshop on Chance Discovery and Data Synthesis, Hague 2016 [paper] Simulation of European options market using McAfee's mechanism for traders using logarithmic market-scoring rule (LMSR) for expressing their asset price predictions through option trading strategies such as bullish/bearish/butterfly spreads. |
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Direct Exchange Mechanisms for Option Pricing
In Proc. of 12th European Conference on Multi-Agent Systems, Prague 2015 [paper] Provides an overview of option market simulation mechanisms adapted from McAfee's double auctions, open book continuous double auction and combinatorial exchanges. |
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Market-based Mechanism for Option Pricing
In Proc. of 16th International Workshop on Agent Mediated Electronic Commerce and Trading Agents Design and Analysis, Paris 2014 [paper] Provides early simulation results of Parke's combinatorial exchange mechanism using ILP formulation and solvers CVX Research and Gurobi for zero-intelligent agents. |
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Trading Option Portfolios using Combinatorial Exchange
In Proc. of 4th Big Data Applications and Services, Tashkent 2017 [paper] Introduces market settlement rules for traders using option trading strategies using Tree-Based Bidding Language (TBBL) and ILP formulation of Winner Determination problem. |
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A Study on Visualization Methods of Phyllotaxis Pattern
In Proc. of MITA2008, Chiang mai 2008 [paper] Presents an algorithm for drawing spiral shaped patterns inspired by phyllotaxis. |
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The Performance Evaluation of New Web Caching with Related Content using Colored Petri Net SimulationMarket-based Mechanism for Option Pricing
Journal of Society for e-Business Studies, S. Korea 2008 [paper] Provides a Colored Petri Net model for the evaluation of the performance of web caching algorithms with related content prefetching. |
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An Optimization of CDN Using Efficient Load Distribution and RADS Caching Algorithm
Journal of Universal Computer Science, 2008. [paper] Describes a web caching algorithm for separated caching of large-sized and small-sized web objects. |
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