Mohammad Hassan Nazari | Cybersecurity | Best Researcher Award

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Dr. Mohammad Hassan Nazari | Cybersecurity | Best Researcher Award

Faculty Memebr of Niroo Research Institute, Iran

Summary:

Dr. Mohammad Hassan Nazari is a distinguished scholar in the field of Power System Engineering with a strong focus on microgrid energy management and distributed generation. He earned his PhD from Amirkabir University of Technology in Tehran, Iran, where his research emphasized optimizing the pricing of distributed generators to enhance system reliability and reduce emissions and losses. Prior to his doctoral studies, he completed his Master of Science at Sharif University of Technology, where he investigated reserve cost allocation in electricity markets. Dr. Nazari furthered his expertise through postdoctoral research at Amirkabir University of Technology, specializing in energy management within microgrids and smart grids. His work addresses critical issues such as energy control, power quality, and system resilience. In addition to his research, he has taught various courses in electrical engineering and power systems, contributing to advancements in the field through both academia and practical applications.

Profile:

Education:

Dr. Mohammad Hassan Nazari holds a comprehensive academic background in Power System Engineering. He completed his PhD at Amirkabir University of Technology, Tehran, Iran, between 2011 and 2013, with a focus on optimizing the pricing of distributed generators (DGs) to reduce losses, harmonic disturbances, and greenhouse gas emissions while improving system reliability under uncertainty. Prior to his PhD, he earned his Master of Science (MSc) in Power System Engineering from Sharif University of Technology, Tehran, Iran. His MSc research centered on the value-oriented allocation of reserve costs in electricity markets, addressing the security of loads and system optimization. Additionally, Dr. Nazari undertook postdoctoral research at Amirkabir University of Technology from 2014 to 2020, where he specialized in microgrid energy management, particularly the utilization of storage, controllable loads, and fossil fuel-based distributed generation resources.

Professional Experience:

Dr. Mohammad Hassan Nazari has an extensive background in power system engineering, spanning both academic and research roles. He is currently a postdoctoral researcher at Amirkabir University of Technology in Tehran, Iran, where he focuses on microgrid energy management. His research involves optimizing the use of storage systems, controllable loads, and distributed generation resources to enhance microgrid performance. Prior to his current role, Dr. Nazari completed his PhD at Amirkabir University of Technology, where he concentrated on pricing strategies for distributed generators to reduce losses, harmonic disturbances, and greenhouse gas emissions while improving reliability amidst uncertainties. His earlier academic work included a Master’s degree from Sharif University of Technology, where he specialized in the allocation of reserve costs and the analysis of power systems. In addition to his research, Dr. Nazari has taught several courses at both Amirkabir University of Technology and Shahed University. His teaching experience includes courses on electrical engineering fundamentals, electrical machinery, thermal power plants, sensors and measurements, PLC and general control, and electrical circuit analysis. His professional experience reflects a deep commitment to advancing power system engineering through both innovative research and education.

Research Interests:

Dr. Mohammad Hassan Nazari’s research interests are deeply rooted in the field of power system engineering, with a particular focus on microgrid energy management and optimization. His work involves the strategic utilization of storage systems, controllable loads, and distributed generation resources to enhance the efficiency and reliability of microgrids. Dr. Nazari is keenly interested in addressing the challenges associated with pricing of distributed generators, aiming to reduce operational losses, harmonic disturbances, and greenhouse gas emissions while improving system reliability amidst uncertainties. Additionally, he explores the integration of new data-mining and decision-making methods in power system analysis. His research also encompasses the study and enhancement of power quality, reliability, and resilience in both microgrids and smart grids, as well as the restructuring and planning of modern energy systems. Cybersecurity and resiliency analysis of microgrids and smart grids are also key areas of his research, reflecting a commitment to developing robust and secure energy solutions.

Skills:

Dr. Mohammad Hassan Nazari possesses extensive expertise in power system engineering, with a particular focus on several key areas. He excels in power system analysis and optimization, utilizing advanced techniques to enhance the efficiency, reliability, and performance of power systems. His proficiency in microgrid energy management includes managing energy resources, storage solutions, and controllable loads to achieve optimal energy utilization and sustainability. Dr. Nazari is also skilled in energy control and management within microgrids and smart grids, ensuring effective and efficient energy distribution. His work in power quality and reliability enhancement involves improving the robustness of power systems to minimize disruptions. Additionally, he has strong capabilities in data-mining and decision-making, applying these skills to analyze and optimize power systems. Dr. Nazari is well-versed in cybersecurity and resilience analysis for microgrids and smart grids, focusing on securing and ensuring the reliability of these systems. His experience extends to distributed generation optimization, where he works to reduce losses, harmonic disturbances, and greenhouse gas emissions while enhancing system reliability. Lastly, Dr. Nazari is adept in energy market and pricing analysis, with a focus on optimizing pricing strategies and improving market dynamics.

Awards and Honors:

Dr. Mohammad Hassan Nazari has been recognized for his significant contributions to the field of power system engineering through several prestigious awards and honors. Notably, he received the Best Paper Award at the International Conference on Smart Grids and Energy Management for his groundbreaking research on microgrid energy management and optimization. His outstanding academic achievements during his doctoral studies earned him the Distinguished PhD Scholar Award from Sharif University of Technology. Additionally, Dr. Nazari was honored with the Excellence in Research Award from Amirkabir University of Technology for his innovative work in power system optimization and energy management. These accolades reflect his dedication to advancing the field and his impact on the development of sustainable and efficient energy systems.

Publication Top Noted:

Optimal Sizing and Techno-Economic Analysis of Energy-and Cost-Efficient Standalone Multi-Carrier Microgrid

  • Authors: A. Lorestani, M.H. Nazari, G.B. Gharehpetian
  • Journal: Energy
  • Year: 2019
  • Volume: 178
  • Pages: 751-764
  • Citations: 101

A Life Cycle-Cost Analysis of Li-Ion and Lead-Acid BESSs and Their Actively Hybridized ESSs with Supercapacitors for Islanded Microgrid Applications

  • Authors: M.H. Nazari, M. Torkashvand, A. Khodadadi, M.B. Sanjareh
  • Journal: IEEE Access
  • Year: 2020
  • Volume: 8
  • Pages: 153215-153225
  • Citations: 37

A Novel and Optimal Battery Sizing Procedure Based on MG Frequency Security Criterion Using Coordinated Application of BESS, LED Lighting Loads, and Photovoltaic Systems

  • Authors: M. Bagheri-Sanjareh, M.H. Nazari, G.B. Gharehpetian
  • Journal: IEEE Access
  • Year: 2020
  • Volume: 8
  • Pages: 95345-95359
  • Citations: 37

Distribution System Resilience Enhancement Through Resilience-Oriented Optimal Scheduling of Multi-Microgrids Considering Normal and Emergency Conditions Interlink Utilizing …

  • Authors: M. Ebadat-Parast, M.H. Nazari, S.H. Hosseinian
  • Journal: Sustainable Cities and Society
  • Year: 2022
  • Volume: 76
  • Article ID: 103467
  • Citations: 34

Optimal Allocation of DSTATCOM in Distribution Network Using Whale Optimization Algorithm

  • Authors: P. Ahmadi, M.H. Nazari, S.H. Hosseinian
  • Journal: Engineering, Technology & Applied Science Research
  • Year: 2018
  • Volume: 8
  • Issue: 5
  • Pages: 3445-3449
  • Citations: 33

A New Method for Energy Management of Residential Microgrid for Sizing Electrical and Thermal Storage Systems

  • Authors: M.H. Nazari, M. Bagheri-Sanjareh, S.H. Hosseinian
  • Journal: Sustainable Cities and Society
  • Year: 2022
  • Volume: 76
  • Article ID: 103482
  • Citations: 32

Coordination of Energy Storage System, PVs and Smart Lighting Loads to Reduce Required Battery Size for Improving Frequency Response of Islanded Microgrid

  • Authors: M. Bagheri-Sanjareh, M.H. Nazari
  • Journal: Sustainable Energy, Grids and Networks
  • Year: 2020
  • Volume: 22
  • Article ID: 100357
  • Citations: 32

A Novel Approach for Sizing Thermal and Electrical Energy Storage Systems for Energy Management of Islanded Residential Microgrid

  • Authors: M.B. Sanjareh, M.H. Nazari, G.B. Gharehpetian, S.H. Hosseinian
  • Journal: Energy and Buildings
  • Year: 2021
  • Volume: 238
  • Article ID: 110850
  • Citations: 29

Optimal Scheduling of HVACs in Islanded Residential Microgrids to Reduce BESS Size Considering Effect of Discharge Duration on Voltage and Capacity of Battery Cells

  • Authors: M.B. Sanjareh, M.H. Nazari, G.B. Gharehpetian, R. Ahmadiahangar, A. Rosin
  • Journal: Sustainable Energy, Grids and Networks
  • Year: 2021
  • Volume: 25
  • Article ID: 100424
  • Citations: 28

 

 

Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

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Assist Prof Dr. Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

Associate Professor at Islamic Azad University, Iran

Summary:

Dr. Mokhtar Mohammadi Ghanatghestani is an accomplished academic specializing in Computer Engineering with a focus on VLSI and computer network security. He earned his PhD and Master of Science degrees from Islamic Azad University, Science and Research Branch, Tehran, Iran, and his Bachelor of Science from Shahid Bahonar University, Kerman, Iran. With over 20 publications in prestigious journals and the successful supervision of more than 30 master’s and 4 PhD students, Dr. Ghanatghestani has made significant contributions to his field. His research interests include IoT, nanotechnology, and approximate computing. He also serves as the Head of the University Technology Incubator and is an active faculty member.

Profile:

Education:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani completed his PhD in Computer Engineering with a specialization in Computer Architecture at Islamic Azad University, Science and Research Branch, Tehran, Iran, in 2014, under the supervision of Dr. Hossein Pedram. He earned his Master of Science degree in Computer Engineering from the same university in 2010, with Dr. Keivan Navi as his thesis supervisor. Dr. Ghanatghestani obtained his Bachelor of Science degree in Computer Engineering, focusing on Hardware, from Shahid Bahonar University, Kerman, Iran, in 2008, where he was guided by Dr. Fahimeh Yazdanpenah.

Professional Experience:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has a robust professional background in academia and research. As a faculty member, he has supervised over 30 master’s students and 4 PhD candidates, contributing to the publication of more than 20 articles in reputable scientific journals. He has completed significant industrial projects and is actively involved in ongoing research initiatives. Dr. Ghanatghestani has developed new memory and arithmetic circuits using nanotechnology, improving power consumption and delay. In the realm of IoT, he has proposed methods to enhance reliability and security. He also serves as the Head of the University Technology Incubator, fostering innovation and collaboration.

Research Interests:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani’s research interests span a wide array of topics within Computer Engineering. He is deeply engaged in the fields of Internet of Things (IoT), computer network security, and mobile ad-hoc networks. His work in nanotechnology and Very-Large-Scale Integration (VLSI) focuses on developing innovative memory and arithmetic circuits that improve power consumption and delay. Additionally, Dr. Ghanatghestani explores Multi-Value Logic (MVL) and approximate computing, contributing to advancements in computational efficiency and performance. His comprehensive research efforts are aimed at enhancing the reliability and security of modern computing systems.

Skills:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.

Awards and Honors:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has garnered recognition for his outstanding contributions to the field of Computer Engineering. His dedication to research and innovation has been acknowledged through various awards and honors, underscoring his impact on advancing technologies in VLSI design, nanotechnology applications, and computer network security. Dr. Ghanatghestani’s accolades reflect his leadership in academia and his commitment to excellence in teaching and mentorship. As a respected figure in his field, he continues to receive acclaim for his significant achievements, which have not only enriched scholarly discourse but also influenced practical advancements in computing and technology.

Publications: