World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
5879
World Ranking
8049
National Ranking
2225

Overview

Ahmet Palazoglu is affiliated with the University of California, Davis in the United States. Their research primarily spans the field of Engineering, with specific focus on subfields such as Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Statistics, Probability and Uncertainty, and Renewable Energy, Sustainability and the Environment.

Palazoglu's work includes various main topics, notably Fault Detection and Control Systems, Mineral Processing and Grinding, Advanced Control Systems Optimization, Advanced Data Processing Techniques, Smart Grid Energy Management, Process Optimization and Integration, and Energy Efficiency and Management.

Among their recent papers are:

  • The Role of Big Data in Industrial (Bio)chemical Process Operations, 2020, Industrial & Engineering Chemistry Research
  • Decision trees for informative process alarm definition and alarm-based fault classification, 2020, Process Safety and Environmental Protection
  • Optimal real-time dispatching of chillers and thermal storage tank in a university campus central plant, 2021, Applied Energy
  • Soft Actor-Critic Deep Reinforcement Learning with Hybrid Mixed-Integer Actions for Demand Responsive Scheduling of Energy Systems, 2022, Industrial & Engineering Chemistry Research
  • Least Squares Sparse Principal Component Analysis and Parallel Coordinates for Real-Time Process Monitoring, 2020, Industrial & Engineering Chemistry Research

Frequent co-authors in Palazoglu's publications include:

  • Nael H. El-Farra
  • Gyula Dörgő
  • Gustavo Campos
  • Murat Külahçı
  • János Abonyi

The main publication venues for Palazoglu's work consist of:

  • Industrial & Engineering Chemistry Research
  • Process Safety and Environmental Protection
  • IFAC-PapersOnLine
  • Processes
  • Applied Energy

Best Publications

  • Nanoscale heterogeneity promotes energy dissipation in bone

    Kuangshin Tai;Ming Dao;Subra Suresh;Ahmet Palazoglu

  • Nolinear model predictive control using Hammerstein models

    K.P. Fruzzetti;A. Palazoğlu;K.A. McDonald

  • Operational optimization and demand response of hybrid renewable energy systems

    Xiaonan Wang;Ahmet Palazoglu;Nael H. El-Farra

  • Model predictive control based on Wiener models

    Sandra J. Norquay;Ahmet Palazoglu;JoséA. Romagnoli

  • Prediction of 24-hour-average PM2.5 concentrations using a hidden Markov model with different emission distributions in Northern California

    Wei Sun;Hao Zhang;Ahmet Palazoglu;Angadh Singh

  • Application of Wiener model predictive control (WMPC) to a pH neutralization experiment

    S.J. Norquay;A. Palazoglu;J.A. Romagnoli

  • Introduction to process control

    Jose A. Romagnoli;Ahmet Palazoglu

  • Real-time fault detection and diagnosis using sparse principal component analysis

    Shriram Gajjar;Murat Kulahci;Ahmet Palazoglu

  • Sliding Mode Control of Nonlinear Distributed Parameter Chemical Processes

    Eric M. Hanczyc;Ahmet Palazoglu

  • An adaptive multimode process monitoring strategy based on mode clustering and mode unfolding

    Chudong Tong;Chudong Tong;Ahmet Palazoglu;Xuefeng Yan

  • Real-time implementation of multi-linear model-based control strategies––an application to a bench-scale pH neutralization reactor

    Omar Galán;Jose A Romagnoli;Ahmet Palazoglu

  • Fault diagnosis of rolling bearing based on wavelet transform and envelope spectrum correlation

    Wei Sun;Guo An Yang;Qiong Chen;Ahmet Palazoglu

  • Optimal scheduling of demand responsive industrial production with hybrid renewable energy systems

    Xiaonan Wang;Nael H. El-Farra;Ahmet Palazoglu

  • Gap Metric Concept and Implications for Multilinear Model-Based Controller Design

    Omar Galán;Jose A. Romagnoli;Ahmet Palazoǧlu, ,§ and;Yaman Arkun

  • Chemical Process Performance Evaluation

    Ali Cinar;Ahmet Palazoglu;Ferhan Kayihan

  • Process pattern construction and multi-mode monitoring

    Zhibo Zhu;Zhihuan Song;Ahmet Palazoglu

  • An economic receding horizon optimization approach for energy management in the chlor-alkali process with hybrid renewable energy generation

    Xiaonan Wang;Holger Teichgraeber;Ahmet Palazoglu;Nael H. El-Farra

  • A data-driven multidimensional visualization technique for process fault detection and diagnosis

    Shriram Gajjar;Ahmet Palazoglu

  • Application of Wiener model predictive control (WMPC) to an industrial C2-splitter

    S.J Norquay;A Palazoglu;J.A Romagnoli

  • Enhanced feature analysis using wavelets for scanning probe microscopy images of surfaces

    Alisher Maksumov;Ruxandra Vidu;Ahmet Palazoglu;Pieter Stroeve

  • Robust H∞ control of nonlinear plants based on multi-linear models : an application to a bench-scale pH neutralization reactor

    Omar Galán;José A Romagnoli;Ahmet Palazoglu

Frequent Co-Authors

Jose A. Romagnoli
Jose A. Romagnoli Louisiana State University
Nael H. El-Farra
Nael H. El-Farra University of California, Davis
Yaman Arkun
Yaman Arkun Koç University
Pieter Stroeve
Pieter Stroeve University of California, Davis
Ali Cinar
Ali Cinar Illinois Institute of Technology
Roland Faller
Roland Faller University of California, Davis
Xuefeng Yan
Xuefeng Yan East China University of Science and Technology
Attila Gursoy
Attila Gursoy Koç University
Zhihuan Song
Zhihuan Song Zhejiang University
Burak Erman
Burak Erman Koç University

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