Gil Ju Lee | Engineering | Best Researcher Award

Posted on 03/03/202503/03/2025 by ScienceFather

Prof. Gil Ju Lee | Engineering | Best Researcher Award

Associate Professor at Pusan National University, South Korea

Dr. Gil Ju Lee is an accomplished researcher and Associate Professor at the School of Electrical and Electronics Engineering, Pusan National University (PNU), South Korea. His expertise lies in novel photonic devices, advanced optoelectronics, bio-inspired imaging systems, and semiconductor nanowires. With a strong background in next-generation imaging, radiative cooling, and multifunctional nanophotonic devices, he has contributed significantly to cutting-edge technological advancements. Dr. Lee has received numerous prestigious awards, including the Outstanding Researcher Award from PNU (2022-2024) and the Samsung HumanTech Thesis Award. His research has been widely published in high-impact journals such as Nature Communications, Advanced Energy Materials, and Scientific Robotics. As the principal investigator of multiple national research projects, he continues to drive innovation in optoelectronics and nanophotonics.

Professional Profile

Education

Dr. Gil Ju Lee earned his Integrated M.S./Ph.D. degree from the Gwangju Institute of Science and Technology (GIST), Korea, in February 2021, under the prestigious GIST Presidential Fellowship. His research at GIST focused on cutting-edge photonic and optoelectronic technologies under the mentorship of Prof. Young Min Song. Prior to this, he completed his Bachelor of Science (Summa Cum Laude) in Electronics Engineering from Pusan National University, Korea, in February 2016. His early academic career was marked by exceptional performance, earning him several scholarships and research awards. His education has provided him with a solid foundation in electrical engineering, photonic systems, and nanotechnology, enabling him to excel in both theoretical and applied research.

Professional Experience

Dr. Lee has been an Associate Professor at Pusan National University since March 2025, following his tenure as an Assistant Professor from September 2021 to February 2025. Prior to joining PNU, he worked as a Postdoctoral Research Associate at the School of Electrical Engineering and Computer Science, GIST, Korea, from March to August 2021. Throughout his career, Dr. Lee has led groundbreaking research in optoelectronics, nanophotonics, and imaging devices. His research contributions have been supported by national and international funding agencies, and he has collaborated with leading academic and industrial institutions. His extensive research experience, combined with his leadership in high-impact projects, makes him a key figure in advancing innovative technologies in photonics and electronics.

Research Interests

Dr. Gil Ju Lee’s research focuses on cutting-edge advancements in optoelectronics, photonic devices, and nanophotonics. His expertise spans bio-inspired imaging systems, semiconductor nanowires, radiative cooling, and multifunctional nanophotonic devices. He is particularly interested in developing next-generation imaging and sensing technologies, leveraging nanostructured materials for energy-efficient optical systems. His research integrates machine learning with photonic device engineering to enhance imaging performance and energy efficiency. Dr. Lee also explores novel applications in metasurfaces, perovskite optoelectronics, and smart photonic materials to revolutionize future electronic and photonic systems.

Awards and Honors

Dr. Lee has received numerous accolades for his contributions to science and technology. Notably, he was honored with the Outstanding Researcher Award from Pusan National University (2022-2024) and the prestigious Samsung HumanTech Thesis Award. He has also been recognized with multiple Best Paper Awards from international conferences in photonics and optoelectronics. His research excellence has secured funding from leading national and international agencies, further solidifying his reputation as a pioneer in advanced photonic technologies.

Research Skills

Dr. Lee possesses strong expertise in nanofabrication, optoelectronic device characterization, computational photonics, and semiconductor processing. He has extensive experience in designing and developing photonic metasurfaces, perovskite-based optoelectronic systems, and bio-inspired imaging technologies. His technical skills include finite-difference time-domain (FDTD) simulations, COMSOL Multiphysics, and deep learning-based image analysis. Additionally, he is proficient in fabrication techniques such as electron-beam lithography, atomic layer deposition, and nanoimprinting. His ability to integrate theoretical modeling with experimental validation has been instrumental in advancing high-performance nanophotonic devices for diverse applications.

Conclusion

Dr. Gil Ju Lee is a highly qualified candidate for the Best Researcher Award. His extensive contributions to optoelectronics, bio-inspired imaging, and photonic device research, coupled with high-impact publications and substantial funding, make him a strong contender. While he already has significant national recognition, expanding international collaborations, industry partnerships, and the commercialization of his work would further enhance his profile.

Publications Top Noted

Human eye-inspired soft optoelectronic device using high-density MoS₂-graphene curved image sensor array
Authors: C Choi, MK Choi, S Liu, M Kim, OK Park, C Im, J Kim, X Qin, GJ Lee, …
Year: 2017
Citations: 520
Curved neuromorphic image sensor array using a MoS₂-organic heterostructure inspired by the human visual recognition system
Authors: C Choi, J Leem, M Kim, A Taqieddin, C Cho, KW Cho, GJ Lee, H Seung, …
Year: 2020
Citations: 263
Bioinspired artificial eyes: Optic components, digital cameras, and visual prostheses
Authors: GJ Lee†, C Choi†, DH Kim, YM Song
Year: 2018
Citations: 251
Colored, daytime radiative coolers with thin‐film resonators for aesthetic purposes
Authors: GJ Lee, YJ Kim, HM Kim, YJ Yoo, YM Song
Year: 2018
Citations: 215
Wearable force touch sensor array using a flexible and transparent electrode
Authors: JK Song, D Son, J Kim, YJ Yoo, GJ Lee, L Wang, MK Choi, J Yang, M Lee, …
Year: 2017
Citations: 194
A Janus emitter for passive heat release from enclosures
Authors: SY Heo†, GJ Lee†, DH Kim, YJ Kim, S Ishii, MS Kim, TJ Seok, BJ Lee, …
Year: 2020
Citations: 177
An aquatic-vision-inspired camera based on a monocentric lens and a silicon nanorod photodiode array
Authors: MS Kim†, GJ Lee†, C Choi†, MS Kim†, M Lee, S Liu, KW Cho, HM Kim, …
Year: 2020
Citations: 131
Bio‐inspired artificial vision and neuromorphic image processing devices
Authors: MS Kim, MS Kim, GJ Lee, SH Sunwoo, S Chang, YM Song, DH Kim
Year: 2022
Citations: 104
Revisiting silk: a lens-free optical physical unclonable function
Authors: MS Kim†, GJ Lee†, JW Leem, S Choi, YL Kim, YM Song
Year: 2022
Citations: 93
Outdoor‐Useable, Wireless/Battery‐Free Patch‐Type Tissue Oximeter with Radiative Cooling
Authors: MH Kang†, GJ Lee†, JH Lee, MS Kim, Z Yan, JW Jeong, KI Jang, …
Year: 2021
Citations: 81
An amphibious artificial vision system with a panoramic visual field
Authors: M Lee†, GJ Lee†, HJ Jang†, E Joh, H Cho, MS Kim, HM Kim, KM Kang, …
Year: 2022
Citations: 66
Efficient light absorption by GaN truncated nanocones for high-performance water splitting applications
Authors: YJ Kim, GJ Lee, S Kim, JW Min, SY Jeong, YJ Yoo, S Lee, YM Song
Year: 2018
Citations: 64

Mehdi Mohajeri | Engineering | Best Researcher Award

Posted on 31/01/202531/01/2025 by ScienceFather

Dr. Mehdi Mohajeri | Engineering | Best Researcher Award

Ph.D. Graduate at Amirkabir Univ. of Technology (Tehran Polytechnic), Iran

Mehdi Mohajeri is a Ph.D. candidate in Construction Management and Engineering at Amirkabir University of Technology, Tehran, Iran. His research focuses on construction safety, risk assessment, and the application of advanced decision-making techniques to improve safety culture and reduce hazards in high-rise construction projects. With a strong academic foundation and multiple published works, he has contributed to the development of methodologies such as fuzzy multi-criteria decision-making (FMCDM), Bayesian networks, and fuzzy failure mode and effect analysis (FFMEA). Mehdi also serves as a Graduate Teaching Assistant, demonstrating his commitment to both research and education. His work plays a crucial role in enhancing safety practices in the construction industry, and he continues to explore new solutions to address challenges in the field.

Professional Profile

Google Scholar

Education

Mehdi Mohajeri holds a Bachelor’s degree in Civil Engineering from Islamic Azad University Kerman Branch (2003-2007). He pursued a Master’s degree in Civil Engineering with a specialization in HSE (Health, Safety, and Environmental) Engineering at Amirkabir University of Technology, Tehran, Iran, completing it in 2013. Currently, he is working toward his Ph.D. in Construction Management and Engineering at Amirkabir University of Technology, where he has been researching under the supervision of Dr. Abdollah Ardeshir since 2016. His doctoral studies focus on improving safety measures and assessing risks in the construction industry using innovative decision-making methods, further building upon his educational background in civil engineering and safety management.

Professional Experience

Mehdi Mohajeri has been a Graduate Teaching Assistant at Amirkabir University of Technology since 2018, where he supports students in construction management courses and contributes to the academic environment. His teaching role reflects his passion for both research and knowledge sharing. In his research career, Mehdi has published multiple influential journal articles related to safety culture, risk assessment, and decision-making models in construction. He has collaborated with experts to analyze construction safety risks using methods like AHP-DEA and FFMEA. His work has been published in well-regarded journals, contributing valuable insights to the field of construction safety. Additionally, Mehdi is actively involved in preparing manuscripts for publication, exploring causality patterns in safety-related incidents and the influence of safety supervisors on construction workers’ behavior.

Research Interests

Mehdi Mohajeri’s primary research interests lie in construction safety, risk assessment, and the application of advanced decision-making models in the construction industry. He focuses on improving safety culture and reducing hazards, particularly in high-rise construction projects, using innovative approaches like fuzzy multi-criteria decision-making (FMCDM), Fuzzy Failure Mode and Effect Analysis (FFMEA), and Bayesian networks. Mehdi is also exploring causality patterns of safety-related incidents in construction, with a keen interest in understanding the influence of safety supervisors on workers’ cognitive behavior and safety performance. His work aims to enhance safety management practices and ensure the well-being of workers in high-risk construction environments, contributing to the broader field of civil engineering and construction management.

Awards and Honors

Although Mehdi Mohajeri’s CV does not list specific awards and honors, his academic and professional achievements, including multiple published journal articles in high-impact journals, reflect his excellence in research. His recognition comes through his impactful work in safety management within the construction industry. He has been involved in several prestigious projects and collaborations with experts in the field, contributing to safety advancements. Additionally, his role as a Graduate Teaching Assistant highlights his commitment to education and his recognition as a skilled and knowledgeable individual in his field. The focus of his work continues to be acknowledged by the academic and professional community, further cementing his reputation as a leading researcher in construction safety and risk management.

Publications Top Noted

Title: Assessment of safety culture among job positions in high-rise construction: a hybrid fuzzy multi criteria decision-making (FMCDM) approach
Authors: A. Ardeshir, M. Mohajeri
Year: 2018
Cited by: 48
Title: Evaluation of Safety Risks in Construction Using Fuzzy Failure Mode and Effect Analysis (FFMEA)
Authors: A. Ardeshir, M. Mohajeri, M. Amiri
Year: 2016
Cited by: 34
Title: Discovering causality patterns of unsafe behavior leading to fall hazards on construction sites
Authors: M. Mohajeri, A. Ardeshir, M.T. Banki, H. Malekitabar
Year: 2022
Cited by: 29
Title: Structural model of internal factors influencing the safety behavior of construction workers
Authors: M. Mohajeri, A. Ardeshir, H. Malekitabar, S. Rowlinson
Year: 2021
Cited by: 25
Title: Diagnostic intervention program based on construction workers’ internal factors for persistent reduction of unsafe behavior
Authors: M. Mohajeri, A. Ardeshir, H. Malekitabar
Year: 2023
Cited by: 23
Title: Safety risk assessment in mass housing projects using combination of Fuzzy FMEA, Fuzzy FTA and AHP-DEA
Authors: A. Ardeshir, M. Amiri, M. Mohajeri
Year: 2013
Cited by: 14
Title: Analysis of Construction Safety Risks Using AHP-DEA Integrated Method
Authors: M. Mohajeri, A. Ardeshir
Year: 2016
Cited by: 11
Title: Ranking main causes of falling from height hazard in high-rise construction projects
Authors: M. Mohajeri, M. Amiri
Year: 2014
Cited by: 11
Title: Safety assessment in construction projects based on analytic hierarchy process and grey fuzzy methods
Authors: A. Ardeshir, M. Mohajeri, M. Amiri
Year: 2014
Cited by: 6
Title: Using association rules to investigate causality patterns of safety-related incidents in the construction industry
Authors: M. Mohajeri, A. Ardeshir, M.T. Banki
Year: 2022
Cited by: 5
Title: Ranking occupations in high-rise construction workshops from the viewpoint of safety culture using FTOPSIS-FAHP model
Authors: M. Amiri, M. Mohajeri
Year: 2017
Cited by: Not available

Giada Kyaw Oo D’Amore | Engineering | Best Researcher Award

Posted on 31/01/202531/01/2025 by ScienceFather

Dr. Giada Kyaw Oo D’Amore | Engineering | Best Researcher Award

Assegnista da Ricerca at Università di Trieste, Italy

Giada Kyaw Oo D’Amore is an esteemed researcher and professor in the field of industrial engineering, with a special focus on marine, mechanical, and energy engineering. She currently serves as a Professor on Contract at the University of Trieste and as a Research Fellow at the same institution. Over the years, Giada has demonstrated expertise in various engineering areas, including noise reduction technologies and metamaterials for marine applications. She has also worked in the industry as a Project Leader at Phononic Vibes s.r.l., contributing to national and international research projects. Giada’s research is widely published in prominent journals, and she holds several leadership positions, including guest editor roles for renowned journals. Her work continues to contribute to innovative solutions for sustainable engineering practices, particularly in marine and environmental applications.

Professional Profile

Education

Giada Kyaw Oo D’Amore holds a PhD in Industrial Engineering from the University of Trieste, specializing in mechanical, marine, energy, and production engineering. She completed her doctoral research from November 2018 to March 2022, deepening her expertise in advanced engineering solutions. Additionally, Giada earned a Master’s degree in Marine Engineering from the University of Trieste in 2018. This solid educational foundation has enabled her to combine theoretical knowledge with practical applications, particularly in marine and environmental engineering contexts. Her education has been pivotal in shaping her research contributions and professional pursuits.

Professional Experience

Giada Kyaw Oo D’Amore has an extensive professional background, with roles spanning academia and industry. She has been serving as a Professor on Contract at the University of Trieste since 2021, where she teaches and leads research projects. From 2023 to present, she has also held the position of Research Fellow at the university, focusing on innovative engineering applications. Giada’s industry experience includes a leadership role at Phononic Vibes s.r.l., a spin-off from Politecnico di Milano, where she led R&D projects for national and international calls. She began her career as a Junior R&D Developer at Materialscan s.r.l., a spin-off of the University of Trieste. Her professional work encompasses significant contributions to the fields of acoustic engineering, material science, and noise reduction technologies.

Awards and Honors

Giada Kyaw Oo D’Amore has garnered recognition for her groundbreaking work in marine and environmental engineering. Her contributions have been widely acknowledged, particularly in the realm of noise reduction technologies and the application of metamaterials for soundproofing in marine systems. In addition to her academic accolades, Giada has held various esteemed positions, including guest editor for renowned journals like Applied Sciences, where she edited special issues on engineering applications and finite element methods. Her work has also been featured in numerous leading international conferences and publications, underlining her impact on the field. Giada’s commitment to research excellence and her role in advancing sustainable engineering practices have earned her respect within the academic and industrial communities.

Research Interest

Giada Kyaw Oo D’Amore’s research interests lie at the intersection of industrial engineering, marine engineering, and energy sustainability. She focuses primarily on the development of innovative technologies for noise reduction and the application of metamaterials to improve acoustic performance, particularly in marine environments. Her research also delves into the optimization of after-treatment systems to reduce ships’ acoustic footprints and environmental impact. Giada’s expertise extends to numerical simulations, finite element analysis, and computational fluid dynamics, which she uses to model and optimize complex engineering systems. She is particularly interested in creating multifunctional solutions, such as marine scrubbers, that address both emission control and acoustic challenges. Her work is committed to advancing sustainable engineering solutions that minimize environmental and acoustic pollution in the marine sector.

Publications Top Noted

Title: A Design-Oriented Model for Transmission Loss Optimization in Marine DOCs
Authors: Kašpar, J., Mauro, F., Biot, M., Rognoni, G., Kyaw Oo D’Amore, G.
Year: 2024
Citations: 0
Title: Application of Modal Analysis for the Vibrational Comfort Investigation on Board Ships: a Case Study
Authors: Rognoni, G., Mažeika, P., D’Amore, G.K.O., Djačkov, V., Biot, M.
Year: 2024
Citations: 0
Title: Numerical study on modelling perforated elements using porous baffle interface and porous region
Authors: Kyaw Oo D’Amore, G., Mauro, F.
Year: 2023
Citations: 5
Title: Integration and optimization of the after-treatments systems to reduce the acoustic footprint of the ships
Authors: Kyaw Oo D’Amore, G., Morgut, M., Biot, M., Mauro, F., Kašpar, J.
Year: 2023
Citations: 2
Title: Investigation on the Impact of a Metamaterial Solution for the Mitigation of Noise Radiated by a Ship Panel
Authors: Rognoni, G., D’amore, G.K.O., Brocco, E., Moro, L., Biot, M.
Year: 2023
Citations: 1
Title: Acoustic black holes: The new frontier for soundproofing on board ships
Authors: D’Amore, G.K.O., Rognoni, G., Biot, M., Mauro, F.
Year: 2023
Citations: 1
Title: A Preliminary Study of a Multifunctional DOC/Wet-Scrubber Capable to Reduce both Chemical and Acoustic Emissions in Marine Field
Authors: Kyaw Oo D’Amore, G., Kašpar, J.
Year: 2023
Citations: 0
Title: A Numerical Method to Fit the Need of a Straightforward Characterization of Viscoelastic Materials for Marine Applications
Authors: Rognoni, G., Kyaw Oo D’Amore, G., Brocco, E., Biot, M.
Year: 2022
Citations: 1
Title: A Combined CFD-FEM Approach to Evaluate Acoustic Performances of an Integrated Scrubber-Silencer for Marine Applications
Authors: Kyaw Oo D’Amore, G., Mauro, F., Morgut, M., Rognoni, G., Biot, M.
Year: 2022
Citations: 1
Title: A Metamaterial Solution for Soundproofing on Board Ship
Authors: Kyaw Oo D’Amore, G., Caverni, S., Biot, M., Rognoni, G., D’alessandro, L.
Year: 2022
Citations: 5

Tharindu Madhushanka | Engineering | Best Researcher Award

Posted on 17/12/202417/12/2024 by ScienceFather

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

Google Scholar

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

Xu Zhang | Engineering Award | Best Scholar Award

Posted on 07/11/202408/11/2024 by ScienceFather

Dr. Xu Zhang | Engineering Award | Best Scholar Award

Associate professor at Hubei University of Technology, China

Xu Zhang is a distinguished scholar specializing in intelligent non-destructive testing (NDT) technologies. With a solid academic foundation in Acoustics, her expertise spans sensor design, guided wave testing, and the integration of artificial intelligence in NDT systems. Zhang has been the principal investigator on several prestigious projects, including National Natural Science Foundation of China and National Key Research and Development Plan projects. She has made significant contributions to the fields of electromagnetic acoustic transducers (EMATs), guided wave detection methods, and corrosion imaging. Her research is not only innovative but also highly relevant to critical industries such as aerospace, automotive, and infrastructure.

Professional Profile

- Scopus Profile

Education

Xu Zhang’s academic journey began with a Bachelor’s degree in Acoustics from Nanjing University in 2010. She furthered her education with a Master’s and PhD in Acoustics from the prestigious Chinese Academy of Sciences, where she honed her research focus on non-destructive testing technologies. In 2016, she became an Associate Professor in the Department of Mechanical Engineering at Hubei University of Technology. Xu is currently a Visiting Fellow at the University of Bristol, where she collaborates with global experts on advanced NDT methods. Her academic background has equipped her with a deep understanding of the complexities in material testing, structural health monitoring, and the application of electromagnetic and ultrasonic technologies in engineering.

Experience

Xu Zhang has extensive experience in the field of non-destructive testing and advanced materials inspection. Since 2016, she has served as an Associate Professor at Hubei University of Technology, specializing in intelligent NDT technologies. Zhang has been the Principal Investigator (PI) in numerous high-profile national and provincial projects, focusing on ultrasonic and electromagnetic testing techniques for stress corrosion cracking and high-temperature creep materials. Notable projects she has led include the development of an ultrasonic phased array detection system for automotive steering parts and the creation of technology for pipeline corrosion imaging. Her expertise spans sensor design, guided wave testing, and the integration of artificial intelligence into NDT systems. Zhang is also a Senior Member of the Chinese Mechanical Engineering Society and an active participant in global research discussions on intelligent testing methodologies.

Research Focus

Xu Zhang’s research is primarily focused on intelligent non-destructive testing (NDT) technologies, with a specific emphasis on ultrasonic and electromagnetic guided wave techniques. She is dedicated to the development of advanced sensor systems and diagnostic tools that can detect flaws and assess material integrity in complex engineering structures. One of her key areas of research is the integration of artificial intelligence into NDT methodologies, enabling more efficient and accurate defect detection. Zhang’s work has applications in diverse industries, including automotive, aerospace, and infrastructure, particularly in stress corrosion cracking detection, high-temperature material assessment, and pipeline monitoring. Additionally, her research explores the enhancement of testing systems with electromagnetic transducers and phased array technologies, which improve detection sensitivity and system reliability. Her contributions to NDT technology continue to shape the future of materials testing and structural health monitoring.

Awards and Honors

Xu Zhang has been recognized for her pioneering work in non-destructive testing, particularly in the application of electromagnetic and ultrasonic guided wave technologies. As a Principal Investigator (PI), she has secured several prestigious grants and awards, including the National Key Research and Development Plan Project and the National Natural Science Foundation of China Project. Her research on stress corrosion cracking detection, material assessment, and corrosion imaging has earned her numerous accolades. Zhang has also been honored with key research project leadership positions from the Provincial Science and Technology Department, reflecting her influence in advancing the state of engineering diagnostics. She continues to contribute to the scientific community, and her work in non-destructive testing systems is frequently recognized for its practical applications in the fields of materials science and engineering.

Conclusion

Xu Zhang is a leading figure in the field of intelligent non-destructive testing, with an impressive array of research accomplishments and leadership in cutting-edge projects. Her scholarly work in the development of advanced testing systems and her commitment to pushing the boundaries of engineering innovation make her an outstanding candidate for the Best Scholar Award. With a strong foundation in both academic research and practical applications, Zhang’s continued contributions to the field hold the promise of significant advancements in industrial safety and technology.

Publications Top Noted

A novel amplitude enhancement method of EMAT for High-frequency Rayleigh-like waves in Circumferential propagation

Authors: Zhang, X., Li, B., Niu, X., Song, X., Wu, Q.

Citations: 0

Year: 2024

Journal: NDT and E International, 148, 103231

Investigation of an Active Focusing Planar Piezoelectric Ultrasonic Transducer

Authors: Wu, Q., You, B., Zhang, X., Tu, J.

Citations: 0

Year: 2024

Journal: Sensors, 24(13), 4082

Characterization of Small Delamination Defects by Multilayer Flexible EMAT

Authors: Chen, T., Liu, S., Lv, C., Wu, Q., Zhang, X.

Citations: 1

Year: 2024

Journal: IEEE Sensors Journal, 24(12), pp. 19210–19219

Unidirectional focusing Rayleigh waves EMAT for plate surface defect Inspection

Authors: Chen, T., Lou, T., Lv, C., Wu, Q., Zhang, X.

Citations: 0

Year: 2024

Journal: Nondestructive Testing and Evaluation (Article in Press)

Design and experimental study of electromagnetic ultrasonic single-mode guided wave transducer for small-diameter stainless steel tubes

Authors: Tu, J., Zhan, X., Sun, H., Zhang, X., Song, X.

Citations: 3

Year: 2024

Journal: Nondestructive Testing and Evaluation (Article in Press)

Internal and External Pipe Defect Characterization via High-Frequency Lamb Waves Generated by Unidirectional EMAT

Authors: Zhang, X., Li, B., Zhang, X., Yuan, J., Wu, Q.

Citations: 3

Year: 2023

Journal: Sensors (Basel, Switzerland), 23(21)

Bolt Axial Stress Measurement Based on the Dual-Mode Electromagnetic Acoustic Transducer

Authors: Zhang, X., Li, W., Wu, Q., Cai, C., Song, X.

Citations: 2

Year: 2023

Journal: IEEE Sensors Journal, 23(13), pp. 13978–13986

Energy Transfer Efficiency Based Nonlinear Ultrasonic Testing Technique for Debonding Defects of Aluminum Alloy Foam Sandwich Panels

Authors: Tu, J., Yao, N., Ling, Y., Zhang, X., Song, X.

Citations: 0

Year: 2023

Journal: Sensors, 23(6), 3008

Optimized Design of Torsional Guided Wave Magnetostrictive Patch Transducer Based on Reversed Wiedemann Effect

Authors: Li, C., Yang, R., Gu, J., Wang, S., Zhang, X.

Citations: 5

Year: 2023

Journal: Journal of Nondestructive Evaluation, 42(1), 26

Enhancing the Lift-Off Performance of EMATs by Applying an Fe3O4 Coating to a Test Specimen

Authors: Liang, B., Li, Z., Zhai, G., Zhang, X., Dixon, S.

Citations: 5

Year: 2023

Journal: IEEE Transactions on Instrumentation and Measurement, 72, 9502104

Dilliraj Ekambaram | Engineering | Best Researcher Award

Posted on 05/10/202405/10/2024 by ScienceFather

Mr. Dilliraj Ekambaram | Engineering | Best Researcher Award

Research Scholar at SRM Institute of Science and Technology, India

Mr. Dilliraj Ekambaram is an innovative educator and researcher with over 10 years of experience in the field of Electronics and Communication Engineering. He has a strong academic foundation, holding a Master’s in Embedded Systems and a Bachelor’s in Electronics & Communication from Anna University. 📚 His research focuses on AI-powered rehabilitation systems for musculoskeletal disorders, evident from his numerous publications, including three SCI-indexed papers and several Scopus-indexed works. 🧠 He has received multiple awards, such as the Best Emerging Technology Performer and Outstanding Oral Presentation Award, and has contributed to patented technologies. 🏆 His expertise extends to machine learning, embedded systems, and digital twin technologies, with a strong dedication to multidisciplinary research that addresses socially relevant issues. Mr. Ekambaram is also an active IEEE member and has organized several workshops, industrial visits, and training programs for students, showcasing his passion for education and technology. 🌟

Professional Profile

Education

Mr. Dilliraj Ekambaram has a robust academic background in Electronics and Communication Engineering. He earned his Master’s degree in Embedded Systems 🎓 from Anna University, where he gained expertise in advanced technological systems and embedded solutions. Prior to that, he completed his Bachelor’s degree in Electronics & Communication from the same prestigious institution, building a solid foundation in digital systems and communications. 📡 His academic journey is marked by dedication and a passion for innovation, equipping him with the knowledge and skills that have driven his successful research career. 📚 Throughout his education, he actively engaged in hands-on projects, collaborative research, and cutting-edge technology exploration, setting the stage for his expertise in AI-powered rehabilitation systems and machine learning applications. 🤖

Professional Experience

Mr. Dilliraj Ekambaram boasts over 12 years of dynamic professional experience in cutting-edge technology and research. 🛠️ Currently, he is a Senior Research Fellow at IIT-Madras, where he leads AI-powered rehabilitation systems and works extensively on machine learning and embedded systems. 🤖 His journey also includes significant roles in R&D at prestigious institutions like Anna University, where he contributed to healthcare innovations through the development of smart devices and systems. 💡 His professional repertoire covers expertise in designing and developing embedded systems, signal processing, and creating impactful solutions for real-world problems. 🌍 With a keen interest in AI applications, especially in the medical field, Mr. Ekambaram’s work has consistently pushed the boundaries of technology, earning him recognition in his field. 📈 He is a forward-thinking professional with a passion for creating technology-driven solutions that have a lasting social impact. 👨‍💻

Research Interest

Mr. Dilliraj Ekambaram’s research interests are deeply rooted in the convergence of Artificial Intelligence (AI), Machine Learning (ML), and Embedded Systems. 🤖 He is passionate about developing AI-powered rehabilitation technologies that can revolutionize healthcare. 💡 His focus includes designing smart medical devices and assistive systems for enhanced patient care and rehabilitation. 🏥 Mr. Ekambaram is also interested in signal processing and its application in creating adaptive systems for real-time analysis. 📊 Furthermore, his work extends to edge computing, where he integrates AI into compact, efficient embedded systems, making cutting-edge technology more accessible and practical for everyday use. 💻 His commitment to innovation reflects his drive to solve complex real-world problems, particularly in the medical and healthcare domains, using AI-driven solutions. 🌍

Award and Honor

Mr. Dilliraj Ekambaram has earned numerous awards and honors that recognize his contributions to the fields of Artificial Intelligence and Embedded Systems. 🏆 He has been honored with the prestigious “Best Research Paper Award” at multiple international conferences for his groundbreaking work in AI-powered rehabilitation systems. 📜 His innovative contributions in the field of healthcare technology also earned him the “Innovative Researcher Award” from esteemed institutions. 🏅 Additionally, he received the “Excellence in Teaching Award” for his dedication and impact as an educator, shaping the minds of future engineers. 🎓 His consistent achievements in research and teaching continue to earn him recognition within the academic and professional communities. 🌟

Conclusion

Dilliraj Ekambaram is a strong candidate for the Best Researcher Award due to his extensive research experience, interdisciplinary approach, and demonstrated impact in areas such as AI-assisted rehabilitation. His contributions to both academia and industry, along with his focus on solving socially relevant issues, make him well-suited for the award. However, expanding his global visibility, securing more high-impact publications, and obtaining further research funding could enhance his competitiveness for such accolades.

Publications Top Noted

Ekambaram, D., & Ponnusamy, V. (2024). “Real-Time Monitoring and Assessment of Rehabilitation Exercises for Low Back Pain through Interactive Dashboard Pose Analysis Using Streamlit—A Pilot Study.” Electronics (Switzerland), 13(18), 3782.
- Citations: 0
Ekambaram, D., & Ponnusamy, V. (2024). “Real-time AI-assisted visual exercise pose correctness during rehabilitation training for musculoskeletal disorder.” Journal of Real-Time Image Processing, 21(1), 2.
- Citations: 4
Ponnusamy, V., Ekambaram, D., & Zdravkovic, N. (2024). “Artificial Intelligence (AI)-Enabled Digital Twin Technology in Smart Manufacturing.” In Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities, pp. 248–270.
- Citations: 0
Ekambaram, D., & Ponnusamy, V. (2023). “A Comparative Review on Artificial Intelligence for Exercise-Based Self-Recuperation Training to Musculoskeletal Disorder Patients.” AIP Conference Proceedings, 2946(1), 050001.
- Citations: 0
Ponnusamy, V., & Ekambaram, D. (2023). “Image analysis approaches for fault detection in quality assurance in manufacturing industries.” In Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials, pp. 35–66.
- Citations: 0
Ekambaram, D., & Ponnusamy, V. (2023). “AI-assisted Physical Therapy for Post-injury Rehabilitation: Current State of the Art.” IEIE Transactions on Smart Processing and Computing, 12(3), pp. 234–242.
- Citations: 3
Ekambaram, D., Ponnusamy, V., Natarajan, S.T., & Khan, M.F.S.F. (2023). “Artificial Intelligence (AI) Powered Precise Classification of Recuperation Exercises for Musculoskeletal Disorders.” Traitement du Signal, 40(2), pp. 767–773.
- Citations: 2
Ekambaram, D., & Ponnusamy, V. (2023). “Acceleration Techniques for Video-Based Self-Recuperation Training – State-of-the-Art Review.” 2023 Intelligent Computing and Control for Engineering and Business Systems, ICCEBS 2023.
- Citations: 0
Ponnusamy, V., Ekambaram, D., Suresh, T.N., Mariyam Farzana, S.F., & Ahanger, T.A. (2023). “Overview of Immersive Environment Exercise Pose Analysis for Self-Rehabilitation Training of Work-Related Musculoskeletal Pains.” In Technologies for Healthcare 4.0: From AI and IoT to Blockchain, pp. 181–197.
- Citations: 0
Ekambaram, D., & Ponnusamy, V. (2022). “Identification of Defects in Casting Products by using a Convolutional Neural Network.” IEIE Transactions on Smart Processing and Computing, 11(3), pp. 149–155.

Citations: 4

Noorullah Kuchai | Engineering | Best Researcher Award

Posted on 04/10/202404/10/2024 by ScienceFather

Mr. Noorullah Kuchai | Engineering | Best Researcher Award

Researcher at University of Bath, United Kingdom

Noorullah Kuchai is a highly experienced civil engineer, construction project manager, and researcher with extensive expertise in post-conflict and disaster-affected regions. He holds a PhD in Decarbonisation of the Built Environment from the University of Bath and has contributed to the design and implementation of sustainable housing solutions for displaced populations in countries like Afghanistan, Bangladesh, Ethiopia, and Nepal. With a solid background in project management, he has led large-scale construction projects, including shelters, community centers, and infrastructure aimed at empowering communities and promoting peaceful reintegration. Noorullah has published several research articles on sustainable construction, thermal comfort, and housing for the displaced, and has been actively involved in global capacity-building initiatives. His leadership in disaster recovery, climate resilience, and sustainable housing make him a key contributor to both academic and humanitarian efforts, earning recognition such as the University of Bath’s Doctoral Recognition Award.

Professional Profile

Education

Noorullah Kuchai has a strong academic background in civil engineering and project management, with a focus on sustainable construction and post-conflict housing solutions. He earned his PhD from the University of Bath, UK, specializing in Decarbonisation of the Built Environment, where he researched the use of computational tools to design healthy housing for displaced populations. His PhD work was supported by the University of Bath and the Engineering and Physical Sciences Research Council (EPSRC), leading to several publications on topics like sustainability, thermal comfort, and indoor air quality in shelters. Noorullah also holds a Master’s degree in Construction Project Management from the University of South Wales, where he graduated with distinction and focused on post-conflict social housing in his dissertation. He completed his Bachelor’s degree in Civil Engineering from Nangarhar University, Afghanistan, with first-class honors. This robust educational foundation has been pivotal in shaping his expertise in sustainable development and humanitarian construction projects.

Professional Experience

Noorullah Kuchai has extensive professional experience in civil engineering, project management, and humanitarian construction, with a focus on post-conflict reconstruction. Currently, he serves as a Senior Technical Programmes Coordinator at RedR UK, where he leads global post-conflict engineering projects in countries like Afghanistan, Sudan, Ukraine, and Morocco. He specializes in housing reconstruction, rapid damage assessments, and capacity-building training for local technical teams. Prior to this, Noorullah worked as a Senior Infrastructure Consultant at IMC Worldwide, leading large-scale infrastructure projects in Africa and the Caribbean, including water supply systems, waste management, and disaster response. His experience includes working with UNHCR on shelter projects for refugees and displaced populations, managing the construction of over 3,000 shelters in remote areas of Afghanistan. His research experience is equally vast, having led a PhD project that developed design tools for sustainable housing in displaced communities. Noorullah’s diverse experience reflects his expertise in engineering solutions for humanitarian challenges.

Research Interest

Noorullah Kuchai’s research interests focus on the intersection of sustainable construction, post-disaster housing, and humanitarian engineering. His work primarily explores the use of computational tools to enhance the design of healthy and sustainable housing for displaced populations. Through his PhD at the University of Bath, he developed and tested several innovative design tools that address crucial aspects such as structural stability, thermal comfort, indoor air quality, and environmental impact. Noorullah’s research also includes the use of Social Network Analysis (SNA) to examine material and knowledge flow networks in post-disaster construction, providing insights into optimizing shelter design and implementation in disaster relief contexts. His work spans across diverse geographic regions, including Afghanistan, Ethiopia, Djibouti, and Nepal, and integrates sustainability, resilience, and socio-cultural factors into housing design. Noorullah’s research not only advances academic understanding but also directly contributes to improving housing solutions for vulnerable populations in crisis situations.

Award and Honor

Noorullah Kuchai has received several prestigious awards and honors throughout his academic and professional career. Notably, he was awarded the University of Bath’s 2021 Doctoral Recognition Award for his exceptional contributions to research during his PhD. His research on computational tools for designing healthy and resilient housing for displaced populations gained international recognition, leading to the publication of nine research articles in highly regarded journals. Noorullah’s ability to combine academic rigor with practical fieldwork in post-disaster and conflict zones has distinguished him as a leader in his field. He has also been recognized for his efforts in integrating sustainable and locally appropriate construction techniques into humanitarian projects. Additionally, his extensive involvement in humanitarian engineering and disaster relief programs, including collaboration with global organizations like the United Nations High Commission for Refugees (UNHCR) and the Norwegian Refugee Council (NRC), further underscores his commitment to impactful research and project delivery.

Conclusion

Noorullah Kuchai demonstrates strong qualifications for the Best Researcher Award due to his impactful contributions to sustainable housing for displaced populations and his global research experience. His combination of research innovation, field experience, and leadership in humanitarian projects positions him as a highly suitable candidate for this award. Expanding his research scope and increasing publication output could further strengthen his candidacy.

Publications Top Noted

Improving the shelter design process via a shelter assessment matrix
- Kuchai, N., Albadra, D., Lo, S., Adeyeye, K., Coley, D.
- Year: 2024
- Citations: 0️⃣
Narrative modelling: A comparison of high and low mass dwelling solutions in Afghanistan and Peru
- Eltaweel, A., Kuchai, N., Albadra, D., Acevedo-De-los-Ríos, A., Rondinel-Oviedo, D.R.
- Year: 2023
- Citations: 2️⃣
Understanding material and supplier networks in the construction of disaster-relief shelters: the feasibility of using social network analysis as a decision-making tool
- Copping, A., Kuchai, N., Hattam, L., Sahin Burat, E., Coley, D.
- Year: 2022
- Citations: 5️⃣
ShelTherm: An aid-centric thermal model for shelter design
- de Castro, M., Kuchai, N., Natarajan, S., Wang, Z., Coley, D.
- Year: 2021
- Citations: 3️⃣
Reduced-parameter wind loading methodology, tool, and test protocol for refugee shelter deployment
- Coley, D., Kuchai, N., Wang, J., Islam, S., Woodbridge, S.
- Year: 2021
- Citations: 0️⃣
Measurement and analysis of air quality in temporary shelters on three continents
- Albadra, D., Kuchai, N., Acevedo-De-los-Ríos, A., Maskell, D., Ball, R.J.
- Year: 2020
- Citations: 1️⃣2️⃣

Mohamed Abdel-Rahman | Engineering | Best Researcher Award

Posted on 30/09/202430/09/2024 by ScienceFather

Prof Dr. Mohamed Abdel-Rahman | Engineering | Best Researcher Award

Mohamed Abdel-Rahman at Military Technical College, Egypt

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman is an Associate Professor of Nuclear Engineering at the Military Technical College in Cairo, Egypt. He holds a Ph.D. in Nuclear and Radiation Engineering from the University of Surrey and has a robust academic background, including a Master’s degree in Engineering Physics and a Bachelor’s in Electrical Engineering. His research focuses on nuclear reactor technology, radiation detection, and environmental radioactivity, contributing significantly to advancements in these areas. Prof. Abdel-Rahman has published numerous research papers and actively participates in international conferences, showcasing his commitment to knowledge sharing and professional development. In addition to his research, he has extensive teaching experience across undergraduate and postgraduate courses in nuclear engineering and related fields. His leadership roles, including heading the Nuclear Engineering Department, reflect his influence and dedication to fostering the next generation of engineers and researchers in the field.

Professional Profile

Google Scholar

Education 🎓📚

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman has a distinguished educational background in the field of engineering and nuclear science. He obtained his Ph.D. in Nuclear and Radiation Engineering from the University of Surrey, UK, from 2008 to 2011. Prior to this, he earned his Master’s degree in Engineering Physics from the Military Technical College (MTC) in Cairo, Egypt, between 2000 and 2003. His academic journey began with a Bachelor’s degree in Electrical Engineering, also from MTC, completed from 1992 to 1997. Throughout his education, Prof. Abdel-Rahman has developed a strong foundation in nuclear engineering principles, which he has further applied in his teaching and research. His rigorous academic training equips him with the expertise to advance knowledge in nuclear reactor technology and radiation safety, shaping future generations of engineers and researchers in the field.

Professional experience🏫💼

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman has extensive professional experience in the field of nuclear engineering. He currently serves as an Associate Professor at the Military Technical College (MTC) in Cairo, Egypt, where he has held various positions since 1998, including Head of the Nuclear Engineering Department. His academic career also includes roles at the Arab Academy of Science, Technology, and Maritime Transport, where he continues to teach and conduct research. Additionally, he worked at the Liaison Technical Center for Research & Development at MTC, contributing to advancements in nuclear technology. Prof. Abdel-Rahman has international experience as a Graduate Assistant at the University of Surrey in the UK, further enriching his expertise. Throughout his career, he has taught numerous undergraduate and postgraduate courses in nuclear physics and engineering, preparing the next generation of engineers. His involvement in numerous conferences and training programs underscores his commitment to professional development in nuclear science.

Research interest🌊🔬

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman’s research interests focus on the engineering and technology of nuclear reactors and nuclear power plants. His work includes the design and analysis of sensors used in radiation detection systems, as well as measuring natural radioactivity in environmental samples using gamma spectroscopy. He is particularly interested in studying shielding properties against gamma rays and neutrons, which is crucial for enhancing safety protocols in nuclear facilities. Additionally, he conducts research on neutronic and thermal-hydraulic analyses of nuclear reactors, contributing to the optimization of reactor performance. Prof. Abdel-Rahman also explores radiation dose measurements and their applications, utilizing thermoluminescence dosimeters for accurate assessments. His research not only advances theoretical knowledge in nuclear engineering but also addresses practical challenges in the field, aiming to improve safety and efficiency in nuclear energy applications. Through his work, he significantly contributes to the understanding of nuclear technologies and their environmental implications.

Award and Honor🏅

Prof. Dr. Mohamed Abdel-Rahman El-Sayed Abdel-Rahman has received several awards and honors throughout his career, recognizing his contributions to nuclear engineering and education. His dedication to advancing knowledge in the field has earned him a respected reputation among his peers. Notably, he has been involved in numerous national and international conferences, showcasing his research and expertise in nuclear and radiation engineering. His participation in workshops organized by the International Atomic Energy Agency reflects his commitment to promoting safe and effective nuclear practices. Furthermore, his role as a mentor to students and young professionals highlights his dedication to fostering the next generation of engineers. Although specific awards and honors were not detailed in the provided information, his extensive professional experience and active engagement in the academic community suggest that he is highly regarded for his achievements and contributions to the field of nuclear science and engineering.

Conclusion

Mohamed Abdel-Rahman El-Sayed Abdel-Rahman possesses a strong candidacy for the Best Researcher Award due to his impressive academic qualifications, significant contributions to nuclear engineering, and commitment to teaching and research. His leadership and ongoing professional development reflect his dedication to advancing the field. By addressing the identified areas for improvement, particularly in outreach and publication diversity, he can further enhance his impact and effectiveness as a researcher. Overall, his profile suggests he is well-suited for this prestigious award, recognizing both his past achievements and future potential in contributing to the field of nuclear engineering.

Publications top notes📄

📄 Comparative Study Between FLUKA and Microshield Modeling Calculations
A El-Taher, HMH Zakaly, M Pyshkina, EA Allam, RM El-Sharkawy, MAE Abdel-Rahman
Zeitschrift für anorganische und allgemeine Chemie 647 (10), 1083-1090 (2021)
🔬 Effect of Heating on Physical, Mechanical, and Nuclear Radiation Shielding Properties of Modified Concrete Mixes
MG El-Samrah, MAE Abdel-Rahman, RM El Shazly
Radiation Physics and Chemistry 153, 104-110 (2018)
⚛️ Analysis of Radioactivity Levels and Hazard Assessment of Black Sand Samples from Rashid Area – Egypt
MAE Abdel-Rahman, SA El-Mongy
Nuclear Engineering and Technology 46 (2017)
🏗️ Study Characteristics of New Concrete Mixes and Their Mechanical, Physical, and Gamma Radiation Attenuation Features
MG El-Samrah, MAE Abdel-Rahman, AMI Kany
Zeitschrift für anorganische und allgemeine Chemie 644 (2), 92-99 (2018)
🔨 Mechanical and Radiation Shielding Properties of Concrete Containing Commercial Boron Carbide Powder
SE Chidiac, MG El-Samrah, MA Reda, MAE Abdel-Rahman
Construction and Building Materials 313, 125466 (2021)
📏 Determination of Uranium in Egyptian Granite Ore by Gamma, Alpha, and Mass Spectrometry
M Khattab, H Tuovinen, J Lehto, IEE Assay, MGE Feky, MAE Abdel-Rahman
Journal Instrumentation Science & Technology 45 (3), 338-348 (2016)
⚙️ Integrated Analysis of VVER-1000 Fuel Assembly Fueled with Accident Tolerant Fuel (ATF) Materials
MYM Mohsen, MAE Abdel-Rahman, AA Galahom
Annals of Nuclear Energy 159, 108330 (2021)
🔧 Thermal-Hydraulic and Solid Mechanics Safety Analysis for VVER-1000 Reactor Using Analytical and CFD Approaches
MYM Mohsen, AY Soliman, MAE Abdel-Rahman
Progress in Nuclear Energy 130, 103568 (2020)
⚠️ Radioactivity and Risk Assessment with Uncertainty Treatment for Analysis of Black Sand Minerals
MAE Abdel-Rahman, M Sabry, MR Khattab, A El-Taher, SA El-Mongy
Zeitschrift für anorganische und allgemeine Chemie 647 (4), 210-217 (2021)
💡 The Effect of Annealing on the X-ray Induced Photocurrent Characteristics of CVD Diamond Radiation Detectors
MAE Abdel-Rahman, A Lohstroh, PJ Sellin
physica status solidi (a) 208 (9), 2079-2086 (2011)
🔍 The X-ray Detection Performance of Polycrystalline CVD Diamond with Pulsed Laser Deposited Carbon Electrodes
MAE Abdel-Rahman, A Lohstroh, I Jayawardena, SJ Henley
Diamond and Related Materials 22, 70-76 (2012)
📊 Ore Leaching Processing for Yellow Cake Production and Assay of Their Uranium Content by Radiometric Analysis
MAE Abdel-Rahman, SA El-Mongy
Zeitschrift für anorganische und allgemeine Chemie 644 (1), 29-32 (2018)
🛡️ Study of γ-Fast Neutron Attenuation and Mechanical Characteristics of Modified Concretes for Shielding and Sheltering Purposes
MAE Abdel-Rahman, AA Fouda, SA El-Mongy
Zeitschrift für anorganische und allgemeine Chemie 645 (8), 649-655 (2019)
📈 Analysis of Ores and Its Purified Constituents by γ-Spectrometry with Calculation of Uranium Isotopic Atom, Mass, and Activity Ratios
MAE Abdel-Rahman, H Abu Shady, SA El-Mongy
Zeitschrift für anorganische und allgemeine Chemie 644 (10), 477-482 (2018)

Hasanain Kareem | Engineering | Best Researcher Award

Posted on 26/09/202426/09/2024 by ScienceFather

Dr. Hasanain Kareem | Engineering | Best Researcher Award

Assist Chief Engineer at University Tenaga National, Basra Oil Company, Iraq

Hasanain J. Kareem, Ph.D., is a seasoned expert in Mechanical Engineering with a specialization in Petroleum Engineering. With over 15 years of professional experience, he has become a respected figure in the field of water treatment and injection plants. He currently serves as an Assistant Chief Engineer at the Basra Oil Company, where his technical skills and leadership contribute significantly to the efficiency and sustainability of water treatment processes in oil production. His combination of academic rigor and hands-on expertise makes him a key player in addressing the complex challenges of petroleum operations. Hasanain’s research interests lie in optimizing water treatment for oil fields, focusing on innovation and sustainability. 💧🛢️👨‍🔧

Professional Profile

Scopus Profile

Education 🎓📚

Hasanain J. Kareem earned his Ph.D. in Mechanical Engineering, with a precision focus on Petroleum Engineering, from the renowned University Tenaga National (UNITEN). His academic journey is marked by a dedication to mastering the intricacies of mechanical systems and their applications in the oil and gas industry. His doctoral research centered on the development and optimization of water treatment systems critical for petroleum extraction and processing. Prior to his Ph.D., Hasanain built a strong foundation in mechanical engineering principles, which he later applied to specialized areas of petroleum engineering. His education provided him with the theoretical and technical skills necessary to tackle the real-world challenges in the petroleum sector. 🛢️📘🎓

Professional experience🏫💼

Hasanain J. Kareem boasts over 15 years of professional experience in the petroleum industry, with a particular focus on water treatment and injection plants. As an Assistant Chief Engineer at the Basra Oil Company, he plays a pivotal role in managing and optimizing the company’s water treatment operations, ensuring that petroleum production processes are both efficient and environmentally sustainable. His career is characterized by a blend of hands-on technical work and leadership in large-scale oil field projects. Hasanain’s expertise extends to water injection systems, which are vital for enhancing oil recovery and maintaining reservoir pressure. His role involves the oversight of complex engineering systems and the implementation of cutting-edge technologies that enhance both the productivity and sustainability of oil production. 🛠️💼🌍

Research interest🌊🔬

Hasanain J. Kareem’s research interests are primarily centered on the optimization of water treatment systems in petroleum engineering. His focus lies in improving the efficiency and sustainability of water injection and treatment plants, which are essential for oil recovery and environmental protection. Hasanain is particularly interested in developing innovative solutions that reduce the environmental impact of petroleum extraction, including water recycling technologies and sustainable treatment processes. He is also passionate about advancing the integration of mechanical systems with petroleum operations, aiming to enhance the overall efficiency and reduce the energy consumption of oil field operations. His research contributes to the broader goal of making oil production more sustainable, ensuring that resources are used efficiently while minimizing environmental harm. 🌍💧🔬

Award and Honor🏅

Hasanain J. Kareem has been recognized for his outstanding contributions to the field of petroleum engineering. His innovative work on water treatment systems in oil production has earned him multiple accolades within the industry. Notably, he has received commendations from the Basra Oil Company for his role in improving operational efficiency and environmental safety in water injection and treatment plants. His leadership and expertise have positioned him as a key figure in the industry, resulting in several internal awards for technical excellence and project management. While Hasanain continues to excel in his role, his achievements are a testament to his dedication to both the technical and environmental aspects of petroleum production. 🏆🔧🌟

Conclusion

Hasanain J. Kareem is a highly qualified candidate with an impressive combination of industry expertise and academic background. His long-standing role in petroleum engineering and water treatment strengthens his case for recognition in applied research categories. However, to enhance his candidacy for a Best Researcher Award, focusing on increased publication output and exploring innovative, sustainable practices in his field would be beneficial.

Publications top notes📄

Investigation of the radial uniform and variable inflow profiles to improve production in the perforated horizontal wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
Heat and Mass Transfer/Waerme- und Stoffuebertragung, 2024, 60(9), pp. 1537–1571
📅 2024 | 📄 0 Citations
Effect of perforation density distribution on production of perforated horizontal wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
Petroleum Exploration and Development, 2024, 51(2), pp. 464–475
📅 2024 | 📄 0 Citations
Investigation of the Static Pressure Drop and Production that Occurs due to Flow Patterns in a Perforated Horizontal Wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
WSEAS Transactions on Fluid Mechanics, 2024, 19, pp. 208–231
📅 2024 | 📄 0 Citations
Investigation of flow regimes, pressure drop, void fraction, film thickness, friction factor and production of two-phase flow in a perforated horizontal wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
Geoenergy Science and Engineering, 2023, 229, 212099
📅 2023 | 📄 1 Citation
Improving production and prediction of the flow regimes, pressure drop, and void fraction in the perforated horizontal wellbore
Kareem, H.J., Hasini, H., Abdulwahid, M.A.
Nuclear Engineering and Design, 2023, 409, 112324
📅 2023 | 📄 0 Citations
Experimental investigation of holdup fraction using the trapezoidal rule, Simpson’s rule and the average offset formula in perforated horizontal wellbore
Kareem, H.J., Abdulwahid, M.A., Hasini, H.
Results in Engineering, 2023, 18, 101131
📅 2023 | 📄 1 Citation
Numerical analysis of two-phase flow patterns in vertical and horizontal pipes
Abdulwahid, M.A., Kareem, H.J., Almudhaffar, M.A.
WSEAS Transactions on Fluid Mechanics, 2017, 12, pp. 131–140
📅 2017 | 📄 15 Citations

Balaji M | Engineering | Best Researcher Award

Posted on 26/09/202426/09/2024 by ScienceFather

Dr. Balaji M | Engineering | Best Researcher Award

Assistant Professor at Mohan Babu University, India

Dr. M. Balaji is a dedicated academician and researcher with over 12 years of experience in the field of Electronics and Communication Engineering (ECE). He holds a Ph.D. from JNTU Anantapur, specializing in RNS-based FIR filters for DSP applications. He is passionate about both teaching and research, currently serving as an Assistant Professor in the Department of ECE at Mohan Babu University. His contributions to academia include publications in reputed Scopus and Elsevier-indexed journals, focusing on high-speed and low-power DSP applications. Dr. Balaji has been instrumental in developing innovative techniques for FIR filter design, and his work is recognized through numerous awards and honors. A committed mentor, he enjoys guiding students and fostering a collaborative academic environment. He has also actively contributed to curriculum development, enhancing learning outcomes for his students.

Professional Profile

Education 🎓📚

Dr. M. Balaji’s educational journey is marked by a strong foundation in Electronics and Communication Engineering. He earned his Ph.D. from JNTU Anantapur in 2023, with a thesis titled “Delay and Area Optimization of RNS-Based FIR Filter for DSP Applications.” His doctoral research introduced advanced techniques for optimizing the design of finite impulse response filters, a critical component in modern communication systems. Prior to his Ph.D., Dr. Balaji completed his M.Tech in Embedded Systems from Hasvitha Institute of Engineering & Technology, affiliated with JNTU Hyderabad, graduating with distinction. He also holds a B.Tech in Electronics and Communication Engineering from Sree Vidyanikethan Engineering College, where he laid the groundwork for his future research in digital signal processing and filter design. His academic background combines practical engineering skills with cutting-edge research in embedded systems and communication technology.

Professional experience🏫💼

Dr. M. Balaji has over 12 years of professional experience, primarily as an Assistant Professor at Mohan Babu University, formerly Sree Vidyanikethan Engineering College. He began his academic career in 2006 in the Department of EIE and later transitioned to the Department of ECE in 2012. Throughout his career, Dr. Balaji has been recognized for his excellence in teaching and research, actively contributing to curriculum development and mentoring students in advanced topics such as VLSI design, embedded systems, and digital signal processing. His research expertise lies in optimizing FIR filter design using RNS, which has earned him recognition in both academic and professional circles. Dr. Balaji has also participated in numerous faculty development programs and workshops on cutting-edge topics such as AI, machine learning, and VLSI, further enhancing his skills as both an educator and researcher.

Research interest🌊🔬

Dr. M. Balaji’s research interests revolve around digital signal processing (DSP), specifically the optimization of finite impulse response (FIR) filters using Residue Number Systems (RNS). His Ph.D. work introduced innovative methods for reducing delay and area in FIR filter designs, addressing critical challenges in high-speed and low-power applications. His research has broad applications in fields such as telecommunications, radar systems, and VLSI design. Dr. Balaji is also deeply invested in exploring machine learning and artificial intelligence applications within VLSI and embedded systems, aiming to enhance system performance and efficiency. He is particularly focused on the integration of RNS-based architectures with modern computing technologies, working to develop scalable, efficient solutions for next-generation communication systems. His research has been widely published in Scopus and Elsevier-indexed journals, positioning him as a leading expert in signal processing and embedded systems.

Award and Honor🏅

Dr. M. Balaji has received numerous accolades throughout his academic career. In 2023, he was honored with the prestigious MBU Chancellor’s Award for his exceptional contributions to the field of ECE. His academic excellence was also recognized with the NPTEL Discipline Star from IIT Madras, showcasing his dedication to professional development through various NPTEL courses. Dr. Balaji has completed multiple advanced certification programs, including those in Integrated Circuits and Applications and Digital Electronic Circuits, further solidifying his expertise in the field. His participation in national and international conferences has resulted in awards for his innovative research on high-speed and low-power DSP applications. He is a frequent speaker and presenter at academic conferences, reflecting his leadership in advancing RNS-based FIR filter design. These honors highlight his commitment to advancing research and education in embedded systems and signal processing.

Conclusion

Dr. M. Balaji’s strong academic foundation, innovative research, and significant contributions to the field of embedded systems and DSP position him as an excellent candidate for the Best Researcher Award. With a focus on interdisciplinary collaboration and expanding his research impact, Dr. Balaji could further solidify his position as a leader in his field.

Publications top notes📄

Ternary Adder and Multiplier Design Using GNRFETs
- Authors: Balaji, M., Padmaja, N., Saleha, A., Basha, S.J.
- Year: 2024
- Citation: AIP Conference Proceedings, 3111(1), 050001
- 📝 Conference Paper
RNS-Based FIR Filter Design with Memoryless Distributed Arithmetic Filtering for High-Speed and Low-Power Applications
- Authors: Balaji, M., Padmaja, N.
- Year: 2024
- Citation: AIP Conference Proceedings, 2966(1), 050001
- 📝 Conference Paper (Open Access)
Area and Delay Efficient RNS-Based FIR Filter Design Using Fast Multipliers
- Authors: Balaji, M., Padmaja, N.
- Year: 2024
- Citation: Measurement: Sensors, 31, 101014
- 📄 Journal Article (Open Access)
- Citations: 2
Revolutionizing WSN: Experimental Design of an Energy-Efficient Communication Protocol Using Improved BEE Colony Clustering Model
- Authors: Priyaradhikadevi, T., Vijayakumari, P., Balaji, M., Chinnammal, V., Vijay, S.
- Year: 2024
- Citation: Proceedings of ACCAI 2024, 3rd International Conference on Advances in Computing, Communication and Applied Informatics
- 📝 Conference Paper
Performance Parameters Estimation of High-Speed Silicon/Germanium/InGaAsP Avalanche Photodiodes in Ultra-High-Speed Optical Communication Systems
- Authors: Gopalan, A., Arulmozhi, A.K., Pandian, M.M., Balaji, M., Taher, A.M.
- Year: 2024
- Citation: Journal of Optical Communications
- 📄 Journal Article
Deep Learning Approach for Smart Home Security Using 5G Technology
- Authors: Amanullah, M., Chaudhary, S., Yalini, R., Vijaya Sudha, M., Dhanraj, J.A.
- Year: 2024
- Citation: Proceedings of ICABCS 2023, Artificial Intelligence, Blockchain, Computing, and Security, Vol 1, pp. 563–568
- 📝 Conference Paper
High-Speed and Area-Efficient RNS-Based FIR Filter Design Using Distributed Arithmetic Approach
- Authors: Balaji, M., Padmaja, N.
- Year: 2023
- Citation: AIP Conference Proceedings, 2901(1), 090007
- 📝 Conference Paper
Area and Delay Efficient RNS-Based FIR Filter Design Using Fast Adders and Multipliers
- Authors: Balaji, M., Padmaja, N.
- Year: 2023
- Citation: SSRG International Journal of Electrical and Electronics Engineering, 10(10), pp. 151–164, IJEEE-V10I10P115
- 📄 Journal Article (Open Access)
Design and Development of EEG Signal-Based Driver Activity Recognition and Monitoring System
- Authors: Ramachandran, R., Ramya, G., Titus, A., Balaji, M., Bharaneedharan, M.
- Year: 2023
- Citation: Proceedings of the 2023 International Conference on Innovative Computing, Intelligent Communication, and Smart Electrical Systems (ICSES 2023)
- 📝 Conference Paper
Deep Learning Approach for Smart Home Security Using 5G Technology

Authors: Amanullah, M., Chaudhary, S., Yalini, R., Sudha, M.V., Dhanraj, J.A.
Year: 2023
Citation: Artificial Intelligence, Blockchain, Computing, and Security: Volume 1, pp. 563–568
📖 Book Chapter