Reza Dashti | Electrical Engineering | Best Researcher Award

Published on by Global Scholar Awards

🌟Mr. Reza Dashti, Electrical Engineering, Best Researcher Award🏆

Reza Dashti at Iran University of Science and Technology, Iran

Reza Dashti, born on April 22, 1980, in Bushehr, is an accomplished professional in the field of electricity and power. With a strong academic background and extensive experience in various management, consultancy, and supervisory roles within the energy sector, Dashti has made significant contributions to the industry through his expertise in distribution networks and energy management.

Author Metrics

Google Scholar Profile

Dashti has authored several books on distribution networks and electricity management, demonstrating his depth of knowledge and expertise in the field. His publications serve as valuable resources for professionals and researchers alike, contributing to the advancement of knowledge in the domain of electrical energy distribution.

Citations

  • Since 2019: Reza Dashti has garnered 605 citations for his scholarly work, indicating the significant impact and recognition of his research contributions within the academic community.
  • 458: The number of citations received in this period reflects the continued relevance and citation of Dashti’s work, highlighting its lasting impact on the field of electrical engineering.

h-index

  • 16: Dashti’s h-index since 2019 stands at 16, signifying that he has published 16 papers that have each received at least 16 citations. This metric is indicative of both the quantity and impact of his research output during this period.
  • 13: The h-index of 13 demonstrates the substantial influence of Dashti’s work, considering the number of highly cited publications within the timeframe.

i10-index

  • 22: Reza Dashti’s i10-index of 22 indicates that he has published at least 22 papers that have received 10 or more citations each since 2019. This metric underscores the consistent impact and visibility of his research output within the academic community.

Education

Dashti holds a Bachelor’s Degree in Electricity – Power from the University of Tehran, a Master’s Degree from Tarbiat Modares University, and a Ph.D. from the University of Tehran. His academic journey has provided him with a solid foundation in electrical engineering and has equipped him with the skills necessary for his professional endeavors.

Research Focus

Dashti’s research focus primarily revolves around the optimization and reorganization of distribution networks to reduce losses, leveraging graph theory and philosophical approaches to electrical energy distribution planning. His work aims to improve the efficiency and reliability of electricity distribution systems, contributing to sustainable energy management practices.

Professional Journey

Throughout his career, Dashti has held various managerial, consultancy, and supervisory roles in both academic and industrial settings. From serving as the CEO of a power distribution company to providing consultation on electricity economy and management, he has demonstrated versatility and leadership in addressing complex challenges within the energy sector.

Honors & Awards

Dashti has been recognized for his contributions to the field, receiving honors such as being selected as a provincial elite in Bushehr province and serving as a top judge at conferences on smart distribution networks. His achievements underscore his dedication and expertise in advancing the field of electrical engineering.

Publications Noted & Contributions

Dashti’s publications include books on topics ranging from error indicators in distribution networks to the objectives and plans of electricity distribution in specific regions. Additionally, he has contributed articles to newspapers on issues such as governance in electricity distribution companies and the challenges of industry privatization.

The Hard Impact Low Probabilities’ impacts on Power Distribution System Economy”

  • Authors: M. Yahyaeifar, M. Taghitahooneh, A. Shaghaghi, R. Dashti, M. Farajollahi
  • Published in: Sustainable Energy, Grids and Networks, 101377, 2024
  • Contribution: This paper explores the economic implications of low-probability, high-impact events on power distribution systems. By assessing the financial consequences of such events, the authors provide insights into strategies for enhancing system resilience and mitigating economic losses.

“Power Distribution System Regulation (A Review)”

  • Authors: M. Yahyaeifar, R. Dashti, M. Farajollahi
  • Published in: Journal of Energy and Power Engineering, 17, 86-101, 2023
  • Contribution: This review article offers a comprehensive overview of power distribution system regulation, highlighting key regulatory frameworks and their impact on system performance and efficiency. By synthesizing existing literature, the authors provide valuable insights for policymakers and industry stakeholders.

“A New Model for Allocating Subsidies to Power Distribution Companies for Loss Reduction in Iran”

  • Authors: R. Dashti, A. Shaghaghi
  • Published: Available at SSRN 4467748, 2023
  • Contribution: This paper proposes a novel model for allocating subsidies to power distribution companies in Iran with the aim of reducing losses. By optimizing subsidy allocation, the authors seek to enhance the efficiency and effectiveness of loss reduction initiatives, thereby improving the overall economic viability of the distribution sector.

“Investigating the growth and development of distribution sector assets and the impact of inflation”

  • Authors: LF Rad, R. Dashti, HAR Ardabili
  • Published in: 2021 25th Electrical Power Distribution Conference (EPDC), 30-35, 2021
  • Contribution: This study examines the growth and development of distribution sector assets, particularly in the context of inflationary pressures. By analyzing asset trends and inflation impacts, the authors provide valuable insights for policymakers and industry stakeholders seeking to manage and optimize distribution sector investments.

“Dynamic Evaluation of Power Distribution Lines for Determining the Number of Repair Teams and Prioritizing the Resolution of Faults Caused by High-Impact Low-Probability Events”

  • Authors: H. Sharifi Moghaddam, R. Dashti, A. Ahmadi
  • Published in: arXiv e-prints, arXiv: 2105.10834, 2021
  • Contribution: This paper presents a dynamic evaluation framework for power distribution lines, focusing on determining the optimal number of repair teams and prioritizing fault resolution in the context of high-impact, low-probability events. By enhancing response strategies, the authors aim to improve system reliability and resilience in the face of unforeseen events.

Research Timeline

Dashti’s research timeline spans from his academic pursuits to his professional endeavors. Beginning with his thesis on distribution network reorganization during his master’s studies, his research trajectory has evolved to encompass broader themes such as the philosophy of electrical energy distribution planning and passive defense policy in distribution systems.

Collaborations and Projects

Dashti has collaborated with various academic and industrial partners on projects aimed at enhancing distribution network efficiency and reliability. From implementing consulting systems to proposing solar energy solutions, his collaborative efforts have contributed to the development and implementation of innovative solutions in the energy sector.

Mike Sserunjogi | Engineering | Best Researcher Award

Published on by Global Scholar Awards

🌟Mr. Mike Sserunjogi, Engineering, Best Researcher Award🏆

  • Mike Sserunjogi at Purdue University, United States

Mike Sserunjogi is a Ph.D. candidate in Agricultural and Biological Engineering at Purdue University, with a Master’s degree from Iowa State University and a Bachelor’s degree from Makerere University in Uganda. His research focuses on particle technology, postharvest, and feed technology, with expertise in AI modeling, deep learning, and simulation techniques. He has a strong background in both academic research and industry applications, with experience in crop modeling, grain storage management, and automation technologies.

Author Metrics:

Mike Sserunjogi has demonstrated notable contributions to the field through his publications, presentations, and awards. His research has been recognized through awards such as 1st place in the ABE-GIRS 3-Minute Thesis competition and 1st place in the NC-213 U.S. Quality Grains Research Consortium poster presentation. He has also presented his work at prestigious conferences like ASABE Annual International Meetings and has co-authored publications in reputable journals.

Google Scholar Profile

11 citations, an h-index of 2, h-index: The h-index is a metric that attempts to measure both the productivity and impact of a researcher’s work. It is defined as the maximum value of h such that the researcher has published h papers that have each been cited at least h times. For example, an h-index of 2 means that the researcher has at least 2 papers that have been cited at least 2 times each.

Education:

Sserunjogi holds a Ph.D. in Agricultural and Biological Engineering from Purdue University, an MSc. in Agricultural and Biosystems Engineering from Iowa State University, and a BSc. in Agricultural Engineering from Makerere University. His academic journey has equipped him with a strong foundation in engineering principles and specialized knowledge in his field of study.

Research Focus:

Sserunjogi’s research focuses on particle technology, particularly in the area of industrial dust particle monitoring and management. He has conducted extensive research on suspended dust particle characterization, monitoring particle concentration, and utilizing deep learning for predicting industrial dust explosions. Additionally, his work includes automation of disturbance machines for insect management in stored grains.

Professional Journey:

Throughout his career, Sserunjogi has held various research and development roles in academia and industry. He has worked as a Graduate Research Assistant at Purdue University’s CP3 Lab and as an R&D Scientist at Amber Agriculture, Inc. and Iowa State University. Additionally, he has experience as a Crop Modeling Engineer at CNH-Industrial, where he developed virtual crop models and conducted big data analysis.

Honors & Awards:

Sserunjogi’s contributions to research have been recognized with several awards and honors. Notable accolades include 1st place awards in competitions such as the ABE-GIRS 3-Minute Thesis and the NC-213 U.S. Quality Grains Research Consortium poster presentation. He has also received awards for his presentations at conferences like ASABE Annual International Meetings and the Norman Borlaug Lecture at Iowa State University.

Publications Noted & Contributions:

Sserunjogi has made significant contributions to the field through his publications in reputable journals such as Advanced Powder Technology and the Journal of Stored Products Research. His research has covered topics including light extinction coefficient correlation with dust particle properties, mechanical stirring for insect suppression in stored grains, and wireless sensor utilization for grain quality monitoring.

Title: Periodic disturbance time interval for suppression of the maize weevils, Sitophilus zeamais Motschulsky (Coleoptera: Curculionidae) in stored maize (Zea mays L.)

  • Authors: M Sserunjogi, CJ Bern, TJ Brumm, DE Maier
  • Journal: Journal of Stored Products Research
  • Volume: 94
  • Page: 101875
  • Citations: 5
  • Year: 2021

Title: Physical disturbance as a non-chemical approach to control weevils in stored maize

  • Author: M Sserunjogi
  • Affiliation: Iowa State University
  • Year: 2020
  • Citations: 4

Title: Wireless sensors for quality monitoring and management of stored grain

  • Authors: D Maier, M Sserunjogi, GR Aby, G Obeng-Akrofi, J Varikooty
  • Publication: Iowa State University Research and Demonstration Farms Progress Reports 2020 (1)
  • Citations: 2
  • Year: 2021

Title: Mechanical stirring of bulk-stored maize in steel bins to suppress maize weevils and other beetle populations

  • Authors: M Sserunjogi, CJ Bern, TJ Brumm, DE Maier, TW Phillips
  • Journal: Journal of Stored Products Research
  • Volume: 106
  • Page: 102281
  • Year: 2024

Title: Stirring of Maize Stored in Farm-Sized Grain Bins to Control Maize Weevils

  • Authors: M Sserunjogi, C Berns, TJ Brumm, D Maier, T Phillips
  • Publication: Iowa State University Research and Demonstration Farms Progress Reports 2019 (1)
  • Year: 2020

Research Timeline:

Sserunjogi’s research journey spans from his Master’s studies at Iowa State University to his current Ph.D. candidacy at Purdue University. He has been actively involved in research projects focused on particle technology, postharvest engineering, and feed technology. His timeline includes experiences as a Graduate Research Assistant, R&D Scientist, and Teaching Assistant, contributing to both academia and industry.

Collaborations and Projects:

Sserunjogi has collaborated with various academic and industry partners on research projects related to his areas of expertise. His collaborations include working with professors and researchers from Purdue University, Iowa State University, and industry organizations such as CNH-Industrial and Amber Agriculture, Inc. Projects have ranged from developing AI models for dust particle monitoring to optimizing grain storage management techniques.