Milad Jafarypouria | Engineering | Best Researcher Award

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Dr. Milad Jafarypouria | Engineering | Best Researcher Award

Skoltech University at Author, Russia

Milad Jafarypouria is a Ph.D. candidate in Mathematics and Mechanics at Skolkovo Institute of Science and Technology (Skoltech), Moscow. His research spans composite materials, nanocomposites, and material mechanics, with a focus on the mechanical and electrical behavior of carbon nanotubes and epoxy resins. He has contributed to several high-impact publications and is involved in innovative work with patents pending. Milad’s research combines advanced computational modeling, experimental studies, and cutting-edge techniques like Python programming, ABAQUS analysis, and scanning electron microscopy. With a robust academic and research background, he demonstrates the potential for significant contributions to engineering and materials science.

Professional Profile

Education

Milad earned his Ph.D. in Mathematics and Mechanics from Skolkovo Institute of Science and Technology (Skoltech) in 2024, with a GPA of A. Before this, he completed his M.Sc. in Mechanical Engineering at Razi University, Kermanshah, Iran, graduating with a GPA of 3.72 in 2019. Milad’s undergraduate studies were completed at Malayer University, where he earned a B.Sc. in Mechanical Engineering with an impressive GPA of 3.96. His solid academic background forms the foundation of his research excellence and technical proficiency in the field.

Professional Experience

Milad has extensive research experience in the fields of material science and mechanical engineering. He has worked under the supervision of Dr. S. Abaimov and Stepan V. Lomov at Skoltech, focusing on the mechanical properties of composites, including the effect of fiber misalignment and diameter distribution on material stress concentrations. His work also includes experimental studies on carbon nanotube composites and epoxy resins. Previously, at Razi University, Milad worked on analytical modeling and numerical simulations related to low-velocity impact on composite materials. His expertise in programming, modeling, and experimental research enhances his ability to tackle complex material science challenges.

Research Interest

Milad Jafarypouria’s research primarily focuses on the mechanical and electrical behavior of composite materials, nanocomposites, and advanced materials science. His work explores the effects of fiber misalignment, fiber diameter distribution, and interfacial debonding in composite structures. Additionally, Milad investigates the temperature-dependent properties of carbon nanotube-based composites, including their Temperature Coefficient of Resistance (TCR). His research combines advanced computational techniques like Python programming and ABAQUS analysis with experimental studies on the behavior of epoxy resins and carbon nanotubes. Milad’s interdisciplinary approach allows him to bridge the gap between theoretical modeling and real-world applications, contributing to the development of next-generation composite materials for various engineering applications.

Awards and Honors

Milad Jafarypouria has received recognition for his exceptional academic and research accomplishments. He has been awarded a Ph.D. scholarship from Skolkovo Institute of Science and Technology (Skoltech) for his outstanding performance and contributions to the field of materials science. Additionally, Milad has received multiple academic distinctions during his M.Sc. and B.Sc. studies, including a high GPA and recognition for his research potential. His ongoing work, including patents and high-impact publications, further solidifies his reputation as a promising researcher in the fields of mechanical engineering and material science.

Conclusion

Milad Jafarypouria is a promising candidate for the Best Researcher Award due to his strong academic background, innovative research, and potential for high-impact contributions. His expertise in materials science, along with his interdisciplinary approach and promising patent work, makes him an excellent choice. To further enhance his candidacy, improving his English-speaking skills and increasing his international visibility could open new avenues for collaboration and recognition.

Publications Top Noted

  • Design and fabrication of robotic gripper for grasping in minimizing contact force
    • Authors: H. Heidari, M. Jafarypouria, S. Sharifi, M. Karami
    • Year: 2018
    • Cited by: 25
    • Journal: Advances in Space Research, 61(5), 1359-1370
  • Separating curing and temperature effects on the temperature coefficient of resistance for a single-walled carbon nanotube nanocomposite
    • Authors: M. Jafarypouria, B. Mahato, S. G. Abaimov
    • Year: 2023
    • Cited by: 9
    • Journal: Polymers, 15(2), 433
  • The effect of fibre misalignment in an impregnated fibre bundle on stress concentrations
    • Authors: M. Jafarypouria, S. V. Lomov, B. Mahato, S. G. Abaimov
    • Year: 2024
    • Cited by: 6
    • Journal: Composites Part A: Applied Science and Manufacturing, 178, 108001
  • Hierarchical toughening and self-diagnostic interleave for composite laminates manufactured from industrial carbon nanotube masterbatch
    • Authors: B. Mahato, S. V. Lomov, M. Jafarypouria, M. Owais, S. G. Abaimov
    • Year: 2023
    • Cited by: 6
    • Journal: Composites Science and Technology, 243, 110241
  • Design and fabrication of robotic gripper for robust grasping various objects in unstructured environments
    • Authors: H. Heidari, M. Jafarypouria, S. Sharifi, M. R. Karami
    • Year: 2016
    • Cited by: Not available
    • Journal: Modares Mechanical Engineering, 16(5), 241-250

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