Tharindu Madhushanka | Engineering | Best Researcher Award

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Mr. Tharindu Madhushanka | Engineering | Best Researcher Award

Engineer at Browns Engineering and Construction, Sri Lanka

Mr. Tharindu Indunil Madhushanka is a promising researcher and civil engineering professional from the University of Moratuwa, Sri Lanka. He holds a Master of Science in Civil Engineering, with a focus on using artificial intelligence for flood forecasting, specifically in the Polonnaruwa region. His research integrates machine learning techniques such as LSTM, ANN, and Transformer models to predict water levels using meteorological and hydrological data. Tharindu has also contributed to sustainable construction through his undergraduate research on the thermal performance and embodied energy of precast panel buildings. His academic achievements include a GPA of 3.54 in Civil Engineering and notable publications, including a paper in the Journal of Hydrologic Engineering. He has gained hands-on experience in both teaching and industry, having worked as an instructor and research assistant at the University of Moratuwa and a trainee civil engineer. Tharindu is dedicated to advancing AI applications in civil engineering for disaster management and sustainability.

Professional Profile

Education

Mr. Tharindu Indunil Madhushanka has a strong educational background in civil engineering, having completed his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, where he graduated with a second-class upper division and a GPA of 3.54 out of 4.2. His undergraduate studies provided him with a solid foundation in engineering principles and practices. He further pursued a Master of Science at the same university, beginning in November 2022, with a research focus on utilizing artificial intelligence to forecast floods, particularly in the Polonnaruwa region of Sri Lanka. Under the guidance of Prof. M.T.R. Jayasinghe, his postgraduate research aims to develop machine learning models for predicting water levels using meteorological and hydrological data. This interdisciplinary approach bridges civil engineering and AI, reflecting his commitment to advancing both fields. His studies are set to culminate in July 2024, contributing valuable insights to flood risk management.

Professional Experience

Mr. Tharindu Indunil Madhushanka has gained valuable professional experience through both academic and industry roles. As a research assistant at the Department of Civil Engineering, University of Moratuwa, he contributed to various engineering modules, including Mechanics, Structural Mechanics, and the Design of Large Structures. His responsibilities included assisting in teaching and providing support for courses such as Building Construction & Materials and Design of Masonry and Timber Structures. Additionally, Tharindu worked as an instructor in the Department of Computer Science Engineering, teaching Programming Fundamentals from June to September 2024. His industry experience includes serving as a trainee civil engineer at RR Construction (Pvt) Ltd, where he was involved in significant projects such as the Mahaweli Water Security Investment Program. These projects, including the Minipe Left Bank Canal Rehabilitation and North-Western Province Canal Project, provided him with hands-on experience in large-scale civil engineering works, enhancing his practical skills.

Research Interest

Mr. Tharindu Indunil Madhushanka’s research interests lie at the intersection of civil engineering and artificial intelligence, with a focus on disaster risk management and sustainable construction. His primary research area is the use of machine learning techniques, particularly deep learning models like LSTM, ANN, and Transformer, to forecast floods and predict water levels in flood-prone regions, such as Polonnaruwa, Sri Lanka. By utilizing meteorological and hydrological data, Tharindu aims to enhance flood prediction systems, providing valuable insights for mitigating the impacts of natural disasters. Additionally, he is interested in sustainable building practices, as demonstrated by his undergraduate research on the thermal performance and embodied energy of precast panel buildings. Tharindu’s work seeks to improve the environmental efficiency of construction materials and methods, making buildings more energy-efficient over their life cycles. His research reflects his commitment to advancing both AI applications and sustainability within the civil engineering field.

Award and Honor

Mr. Tharindu Indunil Madhushanka has achieved notable academic recognition throughout his educational journey. He graduated with a second-class upper division in his Bachelor of Science in Civil Engineering (Honors) from the University of Moratuwa, Sri Lanka, with a commendable GPA of 3.54 out of 4.2. This achievement underscores his strong academic performance and dedication to his studies. Tharindu has also earned recognition for his research contributions, particularly in the field of flood forecasting using artificial intelligence. His publication, “Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning,” in the Journal of Hydrologic Engineering, demonstrates the impact of his work on flood management. Although his H-index is currently 1, it reflects his emerging influence in the research community. Tharindu’s research on sustainable building practices, including the thermal performance of precast panel buildings, has been presented at international conferences, further highlighting his growing recognition within the civil engineering and AI research communities.

Conclusion

Tharindu Indunil Madhushanka demonstrates a strong foundation in innovative, interdisciplinary research, particularly in leveraging artificial intelligence for flood forecasting and sustainable building practices. His academic achievements, technical expertise, and impactful research in disaster management are highly commendable.

Publications Top Noted

  • Title: Multi Day Ahead Flood Prediction in South Asian Tropical Zone Using Deep Learning
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: 1
  • Title: Multiple-Day-Ahead Flood Prediction in the South Asian Tropical Zone Using Deep Learning
    Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
    Journal: Journal of Hydrologic Engineering 30 (1), 04024054
    Year: 2025
    Cited by: Not available
  • Title: Behavior of LSTM and Transformer Deep Learning Models in Flood Simulation Considering South Asian Tropical Climate
    Authors: G Madhushanka, MTR Jayasinghe, RA Rajapakse
    Year: 2024
    Cited by: Not available
  • Title: Transformer & LSTM Based Models for Multi-Day Ahead Flood Prediction in Tropical Climates
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: Not available
    Available at: SSRN 4746297
  • Title: Flood Prediction for Tropical Climates Using LSTM and Transformer Machine Learning Models
    Authors: T Madhushanka, T Jayasinghe, R Rajapakse
    Year: 2024
    Cited by: Not available
    Available at: SSRN 4736261
  • Title: LONG SHORT-TERM MEMORY (LSTM) & FEEDFORWARD ARTIFICIAL NEURAL NETWORK (ANN) FOR FLOOD PREDICTION
    Authors: G.W.T.I. Madhushanka, M.T.R. Jayasinghe, R.A. Rajapakse
    Event: Proceedings of the 14th International Conference on Sustainable Built …
    Year: 2023
    Cited by: Not available
  • Title: Thermal Performance of Precast Panel Buildings
    Authors: G Madhushanka, SS Bandaranayaka, MTR Jayasinghe, H Herath
    Event: University of Ruhuna
    Year: 2023
    Cited by: Not available

Fazel Pourmirzaei Deylami | Electrical Engineering | Best Researcher Award

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🌟Dr. Fazel Pourmirzaei Deylami, Electrical Engineering, Best Researcher Award🏆

Doctorate at Shahrood University of Technology, Iran

Fazel Pourmirzaei Deylami, born on March 1, 1993, in Astaneh Ashrafieh, Guilan, Iran, is an accomplished electrical engineer specializing in electrical machines and power electronics. He holds a B.Sc. degree from the University of Guilan and an M.Sc. degree from the Shahrood University of Technology, both in Electrical Engineering. Currently pursuing his Ph.D. at Shahrood University of Technology, Fazel’s career spans academia and industry, with notable roles at AMPER Innovation Factory and MAPNA Generator Engineering and Manufacturing Co. (PARS).

Author Metrics

Google Scholar Profile

Fazel has established a strong presence in academia, evidenced by his publications in reputable journals and conferences. He serves as a reviewer for prominent journals such as IEEE Transactions on Magnetics and IET Electric Power Applications. Additionally, he edits for the Global Journal of Energy Technology Research Updates, further contributing to the scholarly community.

Fazel Pourmirzaei Deylami has received 14 citations, resulting in an h-index of 2 and an i10-index of 0. This suggests that while Fazel’s work has been cited, the number of citations is relatively low, and there are no publications with at least 10 citations. As Fazel continues to publish and engage in research activities, these metrics may evolve, reflecting the impact and influence of his contributions within the scholarly community.

Education

Fazel’s educational journey includes a B.Sc. in Electrical Engineering from the University of Guilan, an M.Sc. from Shahrood University of Technology, and ongoing Ph.D. studies in Electrical Engineering (Power Engineering) at the same institution. His academic achievements are highlighted by consistently high GPAs and thesis work focusing on advanced topics in electrical machines and power electronics.

Research Focus

Fazel’s research interests encompass various aspects of electrical engineering, including the design, modeling, and optimization of electrical machines. He is particularly passionate about renewable power generation and transportation electrification, with a focus on wind energy conversion and electric vehicles. His expertise extends to electrostatic machinery, demonstrating a diverse range of interests within the field.

Professional Journey

Fazel’s professional journey has been marked by significant contributions to the industry and academia. He has worked as a research and innovation expert at AMPER Innovation Factory, focusing on electromechanical subsystems in the automotive industry. Currently, he serves as an R&D member at MAPNA Generator Engineering and Manufacturing Co., specializing in electromagnetic design and analysis of electrical motors and generators.

Honors & Awards

Throughout his career, Fazel has received recognition for his academic and professional achievements. While specific honors and awards are not mentioned in the provided information, his consistent academic performance and contributions to the field likely merit acknowledgment from his peers and institutions.

Publications Noted & Contributions

Fazel’s publications in esteemed journals and conferences underscore his research contributions. Notable works include papers on the design and modeling of various electrical machines, as well as studies on renewable energy systems and electrostatic machinery. His research outputs contribute to advancing knowledge in the field of electrical engineering.

“Impact of the Stator Coil Pitch on Acoustic Noise and Vibration of Squirrel Cage Induction Motors”

  • Authors: M Rahmani, A Darabi, FP Deylami
  • Published in: IEEE Transactions on Energy Conversion
  • This study investigates the impact of the stator coil pitch on the acoustic noise and vibration levels of squirrel cage induction motors, providing insights into optimizing motor designs for reduced noise and vibration.

“Steady-state performance analysis for optimal operation determination of doubly fed induction motors”

  • Authors: F Pourmirzaei Deylami, A Darabi
  • Published in: The Journal of Engineering
  • The research focuses on analyzing the steady-state performance of doubly fed induction motors to determine optimal operation conditions, contributing to the efficient utilization of these motors in various applications.

“Dynamic-transient modeling and performance evaluation of a multilayer variable-capacitance energy conversion system”

  • Authors: F Pourmirzaei Deylami, A Darabi
  • Published in: International Transactions on Electrical Energy Systems
  • This study presents dynamic-transient modeling and performance evaluation of a multilayer variable-capacitance energy conversion system, offering insights into its dynamic behavior and performance characteristics.

“Dual Independent Rotor Axial Flux Induction Motor for Electric Vehicle Applications”

  • Authors: A Hesari, A Darabi, F Pourmirzaei Deylami
  • Published in: IET Electrical Systems in Transportation
  • The publication introduces a dual independent rotor axial flux induction motor designed for electric vehicle applications, highlighting its potential for improving vehicle performance and efficiency.

“Modeling and Characterization of a Synchronous Variable-Capacitance Electrostatic Motor”

  • Author: FP Deylami
  • Published at: Shahrood University of Technology
  • This work focuses on modeling and characterizing a synchronous variable-capacitance electrostatic motor, potentially contributing to the advancement of electrostatic motor technology.

Research Timeline

Fazel’s research journey has evolved over time, from his early academic pursuits during his B.Sc. and M.Sc. studies to his current Ph.D. research focusing on hybrid-excitation axial-flux generators for wind energy conversion. Alongside his academic endeavors, he has gained practical experience through industry roles, allowing him to apply theoretical knowledge to real-world challenges.

Collaborations and Projects

Fazel’s involvement in industry and academia has likely facilitated collaborations with professionals and researchers across various projects. His experience at AMPER Innovation Factory and MAPNA Generator Engineering and Manufacturing Co. indicates his participation in diverse projects related to electromechanical systems and electrical machinery development. These collaborations have likely enriched his professional experience and contributed to his growth as an engineer and researcher.

Reza Dashti | Electrical Engineering | Best Researcher Award

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🌟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.