Ali Razban | Force | Best Researcher Award

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Dr. Ali Razban | Force | Best Researcher Award

Clinical Associate Professor at Indiana University IUPUI, United States

Summary:

Dr. Ali Razban is a seasoned academic and industry professional with a passion for engineering innovation and energy management. Holding a Ph.D. in Control, Robotics, and Automation from Imperial College, University of London, and dual M.S.E. degrees from The University of Michigan, Ann Arbor, he has built a solid foundation in dynamic systems, signal processing, and energy engineering. Currently serving as a Clinical Associate Professor at Indiana University Purdue University (IUPUI), Dr. Razban directs the Bachelor of Science in Energy Engineering program and contributes to the Industrial Assessment Center. With a blend of academic leadership and industry experience, he drives research in areas such as smart manufacturing, HVAC systems optimization, and industrial energy management. Driven by a commitment to sustainability and innovation, Dr. Razban continues to bridge theory and practice, making significant contributions to engineering advancements and energy efficiency initiatives.

Professional Profile:

Education:

Dr. Ali Razban has pursued a diverse educational path, culminating in a robust academic background. He obtained his Ph.D. from the Center for Robotics within the Mechanical Engineering Department at Imperial College, University of London, UK, in 1994. His doctoral studies focused on Control, Robotics, and automation. Prior to his Ph.D., Dr. Razban earned dual Master of Science in Engineering (M.S.E.) degrees from The University of Michigan, Ann Arbor. His first M.S.E., completed in 1991, concentrated on Controls and Signal Processing within the Electrical Engineering and Computer Science Department. His second M.S.E., also completed in 1991, emphasized Dynamic Systems and Controls within the Mechanical Engineering and Applied Mechanics Department. Building upon his academic foundation, Dr. Razban pursued further education, obtaining a Master of Business Administration (M.B.A.) from the Krannert School of Management at Purdue University, West Lafayette, IN, in 2005, specializing in Executive Management. This comprehensive educational journey has equipped Dr. Razban with a multidisciplinary skill set and a deep understanding of various aspects of engineering and management.

Professional Experience:

Dr. Ali Razban boasts a rich professional background spanning academia and industry. Currently serving as a Clinical Associate Professor at Indiana University Purdue University (IUPUI), he also directs the Bachelor of Science in Energy Engineering program and assists in leading the Industrial Assessment Center. With a Ph.D. from Imperial College, University of London, and dual M.S.E. degrees from The University of Michigan, Dr. Razban’s expertise spans control, robotics, and dynamic systems. His industry stints include roles at Allison Transmission, Roche Diagnostics Operations, Universal Instruments Corp., and Harman-Motive, contributing to his comprehensive understanding of engineering and energy management. Through a blend of academic leadership and industry experience, Dr. Razban continues to bridge theory and practice, driving innovation and addressing real-world challenges in engineering and energy sectors.

Research Interest:

Dr. Ali Razban’s research interests encompass a broad spectrum within the fields of engineering and energy management. His primary focus lies in control systems, robotics, and automation, drawing from his background in dynamic systems and signal processing. Additionally, Dr. Razban is deeply engaged in research related to energy engineering, particularly in areas such as smart manufacturing, industrial energy management, and HVAC systems optimization. His work often involves the application of advanced technologies, including artificial intelligence and IIOT (Industrial Internet of Things), to enhance energy efficiency and operational performance in various industrial settings. Furthermore, Dr. Razban is interested in fault detection and predictive maintenance strategies for HVAC and other critical systems, aiming to improve reliability and reduce downtime. Through his research endeavors, Dr. Razban strives to contribute to sustainable energy practices and advance the understanding of complex engineering systems.

Award and Honors:

Dr. Ali Razban has received prestigious awards and honors in recognition of his contributions to academia, industry, and energy management. Notable accolades include the Industrial Assessment Center of Excellence Award from the U.S. Department of Energy, underscoring his excellence in energy efficiency initiatives. He has also been named among the “Energy Manager Today 75” Honorees, reflecting his impact and leadership in the energy management field. Dr. Razban was honored with the Frank E. Burley Distinguished Professor Award at IUPUI, acknowledging his outstanding achievements in teaching and research. Additionally, he received a Certificate of Appreciation from the Department of Athletics at IUPUI for his exceptional contributions as a professor. His recognition extends to being featured in the “Innovator Spotlight” by Sparkfund, showcasing his expertise in energy innovation. These awards and honors underscore Dr. Razban’s commitment to excellence and his significant contributions to the fields of engineering and energy management.

Research Skills:

Dr. Ali Razban possesses advanced research skills cultivated through extensive academic and professional experience. He adeptly formulates research questions, designs experiments, and employs theoretical frameworks to address complex engineering and energy management challenges. Proficient in both qualitative and quantitative methods, Dr. Razban excels in data collection, analysis, and interpretation using advanced statistical techniques and software tools. His expertise extends to experimental design and implementation, where he leverages simulation tools and experimental setups to validate theoretical models and hypotheses. Driven by creativity and technical proficiency, he fosters interdisciplinary collaboration to tackle multifaceted research problems effectively. Through his research endeavors, Dr. Razban consistently contributes to the advancement of knowledge in his field, making significant strides in areas such as control systems, robotics, smart manufacturing, and energy efficiency.

Publication Top Noted:

  1. Biosensor with laser-sealed capillary space and method of making
    • Authors: RS Bhullar, A Razban
    • Year: 2014
    • Citations: 169
    • Type: Patent
  2. Learning-based CO2 concentration prediction: Application to indoor air quality control using demand-controlled ventilation
    • Authors: S Taheri, A Razban
    • Year: 2021
    • Citations: 108
    • Type: Journal Article
  3. Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review
    • Authors: S Taheri, P Hosseini, A Razban
    • Year: 2022
    • Citations: 82
    • Type: Journal Article
  4. Air compressor load forecasting using artificial neural network
    • Authors: DC Wu, BB Asl, A Razban, J Chen
    • Year: 2021
    • Citations: 34
    • Type: Journal Article
  5. Analytical Modeling of the Automated Dispensing of Adhesive Materials
    • Authors: Razban A., and Davies, BL
    • Year: 1995
    • Citations: 23
    • Type: Journal Article
  6. A review of the state-of-the-art emission control strategies in modern diesel engines
    • Authors: V Ahire, M Shewale, A Razban
    • Year: 2021
    • Citations: 21
    • Type: Journal Article
  7. Overall chilled water system energy consumption modeling and optimization
    • Authors: N Trautman, A Razban, J Chen
    • Year: 2021
    • Citations: 17
    • Type: Journal Article
  8. ARC algorithm: A novel approach to forecast and manage daily electrical maximum demand
    • Authors: DC Wu, A Amini, A Razban, J Chen
    • Year: 2018
    • Citations: 17
    • Type: Journal Article
  9. Intelligent control of an automated adhesive dispensing cell
    • Author: A Razban
    • Year: 1994
    • Citations: 17
    • Type: Thesis
  10. Analysis of magnetic flux in magneto-rheological damper
    • Authors: S Purandare, H Zambare, A Razban
    • Year: 2019
    • Citations: 16
    • Type: Journal Article