プロフィール詳細

プロジェクトを作成

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Dr. Zahid U.に依頼

South Korea

AI Modeling & Process Simulation Expert | Chemical & Process Systems Engineer | Advanced Solutions for Industry & Resear

プロフィール概要

Innovative process systems engineer and AI specialist with a PhD and 5+ years of experience in chemical, environmental, and energy sectors. I deliver end-to-end solutions for process simulation, optimization, machine learning, and advanced modeling using Aspen Plus, HYSYS, Python, and MATLAB. My multidisciplinary expertise spans process control, digital twins, process optimization, and technical consulting for industry and academia. I am passionate about leveraging AI and numerical methods to create robust, efficient, and sustainable engineering solutions. Let’s collaborate to unlock the full potential of your projects!

専門分野

• ☆ Chemical Engineering
• ☆ Environmental Engineering and Technology
• ☆ Industrial Engineering
• ☆ Process Control
• ☆ Data Analysis
• ☆ Artificial Intelligence
• ☆ Process Engineering
• ☆ Python
• ☆ Matlab
• ☆ Process Design

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing, Business & Legal Writing

Research Market Research, Feasibility Study, Fact Checking, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review

Consulting Digital Strategy Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining

Product Development Product Evaluation, Manufacturing, Quality Assurance & Control (QA/QC)

職務経験

PhD

Korea Institute of Science and Technology

- 現在

学歴

PhD in Energy and Environment Technology

Korea Institute of Science and Technology (KIST), Seoul, South Korea

9月 2022 - 12月 2025

Master in Process System Engineering

National University of Sciences and Technology (NUST), Pakistan

10月 2019 - 12月 2021

Bachelor in Chemical Engineering

University of Engineering and Technology, Pakistan

9月 2015 - 8月 2019

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Ullah, Zahid, Yun, Nakyeong, Rossi, Ruggero, Son, Moon(2025). Autonomous water quality management in an electrochemical desalination process. Water Research. 280. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 123521. Elsevier

Ullah, Zahid, Ahmad, Iftikhar, Samad, Abdul, Saghir, Husnain, Ahmad, Farooq, Kano, Manabu, Caliskan, Hakan, Caliskan, Nesrin, Hong, Hiki(2025). Artificial intelligence assisted prediction of optimum operating conditions of shell and tube heat exchangers: A grey-box approach. CAAI Transactions on Intelligence Technology. 10. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 349--358. Wiley Online Library

Ullah, Zahid, Liao, Ziqiao, Choi, KungWon, Son, Moon, Ahn, Yongtae, Khan, Moonis Ali, Prabhu, Subbaiah Muthu, Jeon, Byong-Hun(2024). Artificial neural network modeling for the oxidation kinetics of divalent manganese ions during chlorination and the role of arsenite ions in the binary/ternary systems. Water Research. 259. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 121876. Elsevier

Ullah, Zahid, Kim, Hoo Hugo, Choi, Byeongwook, Jeong, Nahyeon, Cho, Kyung Hwa, Park, Sanghun, Baek, Sang-Soo, Son, Moon(2024). Decoupling ion concentrations from effluent conductivity profiles in capacitive and battery electrode deionizations using an artificial intelligence model. Water Research. 262. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 122092. Elsevier

Ullah, Zahid, Tarus, Bethwel Kipchirchir, Jande, Yusufu AC, Njau, Karoli N, Byun, Jeehye, Son, Moon(2024). Desalination performance in versatile capacitive/battery deionization configurations using a cation intercalating electrode. Desalination. 586. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 117857. Elsevier

Zahid Ullah, Muzammil Khan, Imran Khan, Asif Jamil, Umair Sikandar, Muhammad Taqi Mehran, Muhammad Mubashir, Pei En Tham, Kuan Shiong Khoo, Pau Loke Show(2024). Recent Progress in Oxidative Dehydrogenation of Alkane (C2--C4) to Alkenes in a Fluidized Bed Reactor Under Mixed Metallic Oxide Catalyst. Journal of Inorganic and Organometallic Polymers and Materials. 34. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1--13. Springer US

Ullah, Zahid, Yun, Nakyeong, Rossi, Ruggero, Son, Moon(2024). Reinforcement learning and machine learning controllers for enhancing water quality and process efficiency in electrochemical desalination. ACS ES&T Water. 4. (12). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 5482--5491. ACS Publications

Ullah, Zahid, Naqvi, Salman Raza, Taqvi, Syed Ali Ammar, Khan, Muhammad Nouman Aslam, Farooq, Wasif, Mehran, Muhammad Taqi, Juchelková, Dagmar, Štěpanec, Libor, others(2023). Applications of machine learning in thermochemical conversion of biomass-A review. Fuel. 332. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 126055. Elsevier

Ullah, Zahid, Yoon, Nakyung, Tarus, Bethwel Kipchirchir, Park, Sanghun, Son, Moon(2023). Comparison of tree-based model with deep learning model in predicting effluent pH and concentration by capacitive deionization. Desalination. 558. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 116614. Elsevier

Ullah, Zahid, Park, Sanghun, Yoon, Nakyung, Tarus, Bethwel Kipchirchir, Choi, Byeongwook, Kim, Hoo Hugo, Son, Moon(2023). Energy storage capability of seawater batteries for intermittent power generation systems: Conceptualization and modeling. Journal of Power Sources. 580. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 233322. Elsevier

Ullah, Zahid, Khan, Muzammil, Mašek, Ondřej, Naqvi, Salman Raza, Khan, Muhammad Nouman Aslam(2022). Artificial neural networks for the prediction of biochar yield: a comparative study of metaheuristic algorithms. Bioresource technology. 355. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 127215. Elsevier

Ullah, Zahid, Khan, Muzammil, Naqvi, Salman Raza, Khan, Muhammad Nouman Aslam, Farooq, Wasif, Anjum, Muhammad Waqas, Yaqub, Muhammad Waqas, AlMohamadi, Hamad, Almomani, Fares(2022). An integrated framework of data-driven, metaheuristic, and mechanistic modeling approach for biomass pyrolysis. Process Safety and Environmental Protection. 162. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 337--345. Elsevier

Muzammil Khan, Zahid Ullah, Ondřej Mašek, Salman Raza Naqvi, Muhammad Nouman Aslam Khan(2022). Artificial neural networks for the prediction of biochar yield: a comparative study of metaheuristic algorithms. Bioresource technology. 355. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 127215. Elsevier

Ullah, Zahid, Naqvi, Salman Raza, Farooq, Wasif, Yang, Haiping, Wang, Shurong, Vo, Dai-Viet N, others(2021). A comparative study of machine learning methods for bio-oil yield prediction--A genetic algorithm-based features selection. Bioresource Technology. 335. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 125292. Elsevier

Ullah, Zahid, Khan, Muzammil, Mehran, Muhammad Taqi, Haq, Zeeshan Ul, Naqvi, Salman Raza, Ihsan, Mehreen, Abbass, Haider(2021). Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review. Expert systems with applications. 185. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 115695. Elsevier

Ullah, Zahid, Ahmad, Iftikhar, Sana, Adil, Kano, Manabu, Cheema, Izzat Iqbal, Menezes, Brenno C, Shahzad, Junaid, Khan, Muzammil, Habib, Asad(2021). Machine learning applications in biofuels’ life cycle: Soil, feedstock, production, consumption, and emissions. Energies. 14. (16). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 5072. MDPI