Dinesh Babu M | Engineering | Best Researcher Award

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Dr. Dinesh Babu M | Engineering | Best Researcher Award

Rajalakshmi Institute of technology | India 

Dr. M. Dinesh Babu, B.E., M.Tech., Ph.D., is a distinguished academic and researcher recognized among the Top 2% Scientists Worldwide in the subfield of Energy for the year 2023 by Elsevier and Stanford University. He holds a Ph.D. in Energy Systems Engineering from the College of Engineering, Anna University, Chennai, where his doctoral research focused on “Studies on the Effect of Internal Longitudinal Fins and Nanoparticles on the Performance of Solar Flat Plate Collectors.” He also holds an M.Tech. in Energy Systems Engineering from Vellore Institute of Technology (VIT), Vellore, and a B.E. in Mechanical Engineering from Sriram Engineering College, University of Madras, both with First Class distinction. With over 21 years of teaching and research experience, Dr. Dinesh Babu has served in reputed institutions such as Dr. M.G.R. University, Sathyabama University, R.M.K. Engineering College, Panimalar Engineering College, and currently, as a Professor at Rajalakshmi Institute of Technology, Chennai. His academic contributions encompass teaching core subjects like Heat and Mass Transfer, Thermodynamics, Thermal Engineering, Power Plant Engineering, Machine Design, Manufacturing Technology, Environmental Science, and Entrepreneurship Development. Dr. Babu has an outstanding research profile with 93 publications in Scopus, SCI, and Web of Science-indexed journals, achieving a cumulative impact factor of 302.54. His research has garnered over 3,500 citations on Google Scholar (h-index: 32, i10-index: 52), 3,177 citations on Scopus (h-index: 31), and 2,978 citations with 15,220 reads on ResearchGate. He has also published two patents and has four ongoing research papers under review. He currently supervises four Ph.D. research scholars registered under Anna University (Supervisor ID: 3120042). His research interests include renewable energy systems, solar thermal engineering, nanofluids, biofuels, combustion and emission analysis, and sustainable manufacturing. Dr. Babu has designed innovative projects such as a 50 LPD copper solar water heater with a ladder-type heat exchanger and has secured funding through initiatives like the RIT-FIT Seed Money Fund and a SERB project proposal worth ₹16.1 lakhs. An active academic contributor, Dr. Babu serves as a Doctoral Committee Member at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, and frequently participates as a resource person and reviewer for journals and research programs. He has completed multiple Elsevier Research Academy certifications on topics such as producing highly visible research, academia–industry collaboration, journal impact metrics, and open hardware innovation. Dr. M. Dinesh Babu’s exemplary academic dedication, prolific research output, and consistent pursuit of innovation in the field of energy systems engineering have earned him a reputation as one of India’s leading scholars in sustainable and renewable energy technologies.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Yuvarajan, D., Babu, M. D., Beem Kumar, N., & Kishore, P. A. (2018). Experimental investigation on the influence of titanium dioxide nanofluid on emission pattern of biodiesel in a diesel engine. Atmospheric Pollution Research, 9(1), 47–52.

Radhakrishnan, S., Munuswamy, D. B., Devarajan, Y., T., A., & Mahalingam, A. (2018). Effect of nanoparticle on emission and performance characteristics of a diesel engine fueled with cashew nut shell biodiesel. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 40, 1–10.

Sathiyamoorthi, R., Sankaranarayanan, G., Munuswamy, D. B., & Devarajan, Y. (2021). Experimental study of spray analysis for Palmarosa biodiesel‐diesel blends in a constant volume chamber. Environmental Progress & Sustainable Energy, 40(6), e13696.

Devarajan, Y., Munuswamy, D. B., & Mahalingam, A. (2018). Influence of nano-additive on performance and emission characteristics of a diesel engine running on neat neem oil biodiesel. Environmental Science and Pollution Research, 25(26), 26167–26172.

Devarajan, Y., Munuswamy, D. B., Nagappan, B., & Pandian, A. K. (2018). Performance, combustion and emission analysis of mustard oil biodiesel and octanol blends in diesel engine. Heat and Mass Transfer, 54(6), 1803–1811.

Devarajan, Y., Munuswamy, D. B., & Mahalingam, A. (2019). Investigation on behavior of diesel engine performance, emission, and combustion characteristics using nano-additive in neat biodiesel. Heat and Mass Transfer, 55(6), 1641–1650.

Pandian, A. K., Munuswamy, D. B., Radhakrishnan, S., & Devarajan, Y. (2018). Emission and performance analysis of a diesel engine burning cashew nut shell oil biodiesel mixed with hexanol. Petroleum Science, 15(1), 176–184.

Devarajan, Y., Mahalingam, A., Munuswamy, D. B., & Arunkumar, T. (2018). Combustion, performance, and emission study of a research diesel engine fueled with palm oil biodiesel and its additive. Energy & Fuels, 32(8), 8447–8452.

Kicheol Lee | Engineering | Best Researcher Award

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Dr. Kicheol Lee | Engineering | Best Researcher Award

Dr. Kicheol Lee | Halla University/RISE Project Group | South Korea

Dr. Kicheol Lee is a research professor specializing in civil and structural engineering, with a strong record in foundation engineering, numerical modelling, and new technology development. His work spans artificial intelligence (machine learning, deep learning), probabilistic and statistical methods, field applications in geotechnical/tunnel/foundation engineering, and reliability-based design (LRFD). He has been recognized with multiple best paper and presentation awards from the Korea Geosynthetics Society and the Korea Geotechnical Society. His expertise in numerical simulation (particularly via ABAQUS), and integration of AI/ML with civil engineering systems, has made him a leading figure in predictive modeling, anomaly detection, and structural reliability. Dr. Lee’s contribution lies in bridging advanced computational methods with practical engineering challenges, especially in ensuring safety, resilience, and sustainability of infrastructure. Dr. Lee’s current research is deeply interdisciplinary, merging geotechnical engineering, structural health monitoring, and intelligent systems to create safer, data-driven infrastructure solutions.His ongoing work under the Gangwon RISE Project aims to transform urban safety and sustainability by employing augmented and virtual reality technologies for real-time disaster visualization and early warning.

Author’s Profile

Scopus | Orcid

Early Academic Pursuits

Dr. Kicheol Lee began his academic journey in Civil and Environmental Engineering at Incheon National University, where he earned his Bachelor’s degree (2015), Master’s degree (2017), and Doctorate (Ph.D., 2021). His early research concentrated on geotechnical and foundation engineering, particularly the mechanical behavior of pile groups and the evaluation of soil–structure interactions through numerical and experimental methods. His doctoral dissertation, “Evaluation of Resistance Factors of Pile Groups Consisting of Drilled Shafts Embedded in Sandy Ground under Axial Load through Numerical Analysis,” established his expertise in reliability-based foundation design (LRFD) and computational modeling using ABAQUS, laying the groundwork for his later innovations in smart infrastructure systems.

Professional Endeavors

Dr. Lee’s professional career seamlessly bridges academia, industry, and national research initiatives, reflecting his commitment to advancing digitally enhanced civil infrastructure technologies. He currently serves as a Research Professor at Halla University under the RISE Project Group (since September 2025), where he leads the Gangwon RISE Project focused on developing advanced safety and green city technologies through the integration of Digital Twin and 3D data. Prior to this role, he was a Principal Researcher at the Korea Institute of Structural Integrity Research (2024–2025), where he led national R&D projects centered on innovative construction technologies and safety inspection systems. From 2021 to 2024, he served as Research Director at UCI Tech Co., Ltd., managing government-funded initiatives that merged IoT and augmented reality (AR) technologies for infrastructure maintenance and smart monitoring applications. Across these roles, Dr. Lee has demonstrated a clear progression from applied geotechnical engineering toward the fusion of engineering mechanics, intelligent systems, and data science to create more resilient, sustainable, and intelligent civil infrastructure.

Contributions and Research Focus

Dr. Lee’s interdisciplinary research bridges geotechnical engineering with artificial intelligence, probability, and information technologies to develop data-driven and intelligent systems for the monitoring, design, and maintenance of civil infrastructures. His expertise spans artificial intelligence—particularly the application of convolutional and recurrent neural networks (CNNs and RNNs) for anomaly detection, predictive modeling, and data-driven decision-making in structural health monitoring—as well as foundation and tunnel engineering, focusing on advanced modeling and soil–structure interaction analysis. He is also skilled in numerical analysis using ABAQUS to simulate complex geotechnical phenomena and evaluate soil–structure responses. In addition, Dr. Lee integrates reliability and probabilistic design principles through statistical modeling, Monte Carlo simulations, and Bayesian inference within LRFD-based design frameworks. His innovative contributions extend to smart infrastructure and safety systems, including the development of AI-enabled inspection robots, reversible thermochromic materials for black-ice prevention, and UAV-based soil monitoring systems utilizing hyperspectral imaging. He has led or contributed to 11 major national R&D projects funded by various Korean ministries—including those of Education, Environment, Land, Transport, Industry, and SMEs & Startups—addressing challenges in smart cities, environmental protection, and disaster prevention, all aimed at advancing sustainable and resilient civil infrastructure.

Impact and Influence

Dr. Lee’s scholarly influence is reflected in his prolific publication record, with over 50 peer-reviewed journal papers—15 indexed in SCI/SCI(E), 34 in Korean journals, and 2 in Scopus. His research has appeared in leading international journals such as Applied Sciences, Sustainability, Remote Sensing, Polymers, and Tunnelling and Underground Space Technology. His academic excellence has been recognized through several prestigious awards, including the Best Paper Presentation Awards from the Korea Geosynthetics Society and the Korea Geotechnical Society in 2020, and the Best Paper Award from the Korea Geosynthetics Society in 2019. Complementing his scholarly achievements, Dr. Lee holds 15 registered patents in the Republic of Korea, showcasing his technological innovation in civil engineering through the development of smart barriers, reversible paints for road safety, and advanced pile systems. Beyond research, he actively contributes to the professional community as an Editorial Board Member of the Korea Geosynthetics Society (2024–Present), and as Assistant Administrator of both the Low-Carbon Construction Committee and the Incheon Regional Committee of the Korean Geotechnical Society (since 2023). Through these roles, Dr. Lee fosters academic collaboration, encourages the dissemination of innovation, and advances sustainable engineering practices in the civil infrastructure domain.

Academic Cites

Dr. Lee’s work is frequently cited in research concerning geotechnical reliability, foundation engineering, and smart civil technologies. His papers on hyperspectral soil analysis and negative skin friction in piles have become valuable references in data-integrated geotechnical research. By bridging machine learning with traditional civil engineering models, his methodologies have influenced new approaches to predictive maintenance and risk-based infrastructure management in both academia and industry.

Legacy and Future Contributions

Dr. Kicheol Lee embodies a new generation of civil engineers who seamlessly integrate artificial intelligence, sustainability, and resilience into traditional infrastructure systems. His pioneering work on AI-driven monitoring, Digital Twin simulations, and smart geotechnical materials is reshaping the future of infrastructure safety and environmental protection. Looking ahead, Dr. Lee aspires to expand the application of augmented reality (AR) and digital twin technologies for real-time disaster prediction and response, develop autonomous robotic systems for structural inspection and maintenance, and contribute to global initiatives promoting smart and sustainable urban development in the face of climate change. His long-term vision is centered on building data-informed, intelligent, and resilient civil infrastructure systems that not only enhance public safety and operational efficiency but also minimize environmental impact—paving the way for the realization of next-generation smart and sustainable cities.

Featured Publications

Lee, K. (2024). Verification of construction method for smart liners to prevent oil spill spread in onshore. Sustainability, 16(23), 10626. https://doi.org/10.3390/su162310626

Lee, K. (2023). Proposal of construction method of smart liner to block and detect spreading of soil contaminants by oil spill. International Journal of Environmental Research and Public Health, 20(2), 940. https://doi.org/10.3390/ijerph20020940

Lee, K. (2022). Spectrum index for estimating ground water content using hyperspectral information. Sustainability, 14(21), 14318. https://doi.org/10.3390/su142114318

Lee, K. (2022). Prediction of ground water content using hyperspectral information through laboratory test. Sustainability, 14(17), 10999. https://doi.org/10.3390/su141710999

Lee, K. (2021). Analysis of vertical earth pressure acting on box culverts through centrifuge model test. Applied Sciences, 12(1), 81. https://doi.org/10.3390/app12010081

Lee, K. (2020). Numerical analysis of the contact behavior of a polymer-based waterproof membrane for tunnel lining. Polymers, 12(11), 2704. https://doi.org/10.3390/polym12112704

Lee, K. (2020). Analysis of effects of rock physical properties changes from freeze–thaw weathering in Ny-Ålesund region: Part 2—Correlations and prediction of weathered properties. Applied Sciences, 10(10), 3392. https://doi.org/10.3390/app10103392

Lee, K. (2020). Analysis of effects of rock physical properties changes from freeze–thaw weathering in Ny-Ålesund region: Part 1—Experimental study. Applied Sciences, 10(5), 1707. https://doi.org/10.3390/app10051707

Iman Asadi | Engineering | Best Paper Award

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Dr. Iman Asadi | Engineering| Best Paper Award

Dr. Iman Asadi | University for Continuing Education Krems |Austria

Dr. Iman Asadi, Ph.D., is a committed and multifaceted researcher in the built environment and materials science, currently advancing the field as a Senior Postdoctoral Researcher in Austria and a Visiting Researcher in Australia. Rooted in a solid foundation in mechanical engineering, Dr. Asadi has cultivated expertise spanning thermal behavior of cementitious materials, indoor environmental quality, and the integration of sustainable and waste-derived components into construction practices. Driven by a passion for merging experimental rigor with sustainable innovation, Dr. Asadi pursues interdisciplinary projects across continents, contributing to greener building systems through both applied research and scholarly collaboration..

Profile

Googlescholar

Education

Dr. Asadi’s academic trajectory began with a mechanical engineering bachelor’s degree earned at Azad University of Iran, laying a strong technical foundation in thermofluid systems. The pursuit of specialized knowledge continued with a Master of Science in Mechanical Engineering from University Tenaga Nasional in Malaysia, where the focus was on indoor environmental quality consciousness in air-conditioned buildings. Culminating with a Ph.D. in Building Science and Performance from University of Malaya, Dr. Asadi’s doctoral research rigorously evaluated the thermal properties of cementitious mortars incorporating sustainable byproducts, thereby bridging fundamentals of heat transfer with sustainable material development.

Experience

Dr. Asadi’s professional path weaves across academia and applied research. After roles as mechanical designer and research assistant in Iran and Malaysia, he progressed to postdoctoral positions including at the University of Tehran, emphasizing building envelope thermal dynamics and energy modeling. At NTNU in Norway, he explored porosity in cement-based materials via CT scanning and analyzed freeze–thaw durability in sustainable concrete. Since mid-2023, he has served as a Senior Postdoc in Krems, Austria, overseeing projects in manure phosphorus analytics and silicon recovery from photovoltaic panels, and since late 2024, he has expanded his research scope as a Visiting Researcher in Melbourne, Australia, focusing on fire-resistant and phase change materials.

Research Interests

Dr. Asadi’s research lies the thermal characterization and sustainability of cement-based materials, emphasizing the integration of industrial byproducts and PCMs to optimize building performance. His interests include the microscopic and macroscopic porosity of mortars, analyzed through CT-based 3D image processing, as well as heat-transfer phenomena in cementitious media. He is deeply invested in innovating resilient building envelopes, improving indoor environmental quality, and pioneering circular-economy approaches—such as phosphorus recovery and silicon recycling—while advancing methods to assess and enhance material durability, environmental impact, and thermal efficiency.

Awards

Dr. Asadi’s innovative research has been recognized through multiple prestigious accolades. His proposal on geopolymer composites incorporating waste and PCMs earned the European Commission’s Seal of Excellence in consecutive years, underscoring its high scientific and societal merit. Earlier, his inventive work in Malaysia was celebrated with gold awards at both the international research innovation exposition and the invention, design, and innovation competition. Additionally, he was a winner of his university’s three-minute thesis contest and has been supported by national and university-level research grants, including from the National Elites Foundation of Iran and various Malaysian funding bodies.

Publications Top Notes

Thermal conductivity of concrete – A review

Journal: Journal of Building Engineering
Authors: I. Asadi, P. Shafigh, Z.F.B.A. Hassan, N.B. Mahyuddin

Concrete as a thermal mass material for building applications – A review

Journal: Journal of Building Engineering
Authors: P. Shafigh, I. Asadi, N.B. Mahyuddin

Thermal properties of cement mortar with different mix proportions

Journal: Materiales de Construcción
Authors: P. Shafigh, I. Asadi, A.R. Akhiani, N.B. Mahyuddin, M. Hashemi

A review on indoor environmental quality (IEQ) and energy consumption in building based on occupant behavior

Journal: Facilities
Authors: I. Asadi, N. Mahyuddin, P. Shafigh

Drying shrinkage properties of expanded polystyrene (EPS) lightweight aggregate concrete: A review

Journal: Case Studies in Construction Materials
Authors: M. Maghfouri, V. Alimohammadi, R. Gupta, M. Saberian, P. Azarsa

Conclusion

Dr. Iman Asadi exemplifies the modern researcher: globally mobile, deeply interdisciplinary, and observant of both micro-scale physical processes and macro-scale sustainability challenges. With a rich background in mechanical and building sciences, he seamlessly merges experimental materials work—such as thermal testing and CT image-based porosity analysis—with applications ranging from environmental quality improvements to resource-recycling innovations. His recognized achievements, international collaborations, and robust publication record position him as an influential contributor to evolving sustainable and resilient built-environment solutions.

RAŞİT KARAKUŞ | Mechanical Engineering | Best Researcher Award

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Mr.RAŞİT KARAKUŞ | Mechanical Engineering | Best Researcher Award

Mr.RAŞİT KARAKUŞ | Mechanical Engineering | Best Researcher Award

FNSS Savunma Sistemleri A.Ş, Turkey

Profile

Scopus

Early Academic Pursuits

Dr. Raşit Karakuş’s journey in mechanical engineering began with a Bachelor's degree from Gazi University (2003–2009), followed by academic enrichment at Technische Universität Kaiserslautern. He pursued his Master’s (2009–2012) and Ph.D. (2012–2019) at Hacettepe University, Department of Mechanical Engineering in Ankara. His graduate studies were marked by deep engagement with compliant mechanisms, lightweight structures, and automotive applications — laying the foundation for a career blending academia and industry.

Professional Endeavors

Dr. Karakuş boasts a dynamic career spanning academia and the defense and mobility sectors. From 2010 to 2012, he was a Research Assistant at Hacettepe University, then served as a Mechanical Engineer and Lecturer (2016–2023), mentoring the next generation of engineers. Simultaneously, he led design efforts at EVT Motor and other automotive startups, focusing on L7e and M1 class electric vehicle design and production. At FNSS Defence Systems Inc., he rose to become e-Mobility Unit Manager in 2023 after serving as a Technical Consultant, overseeing electric mobility systems for defense applications.

Contributions and Research Focus

Dr. Karakuş has made substantial contributions to compliant mechanism design, particularly in applications related to suspension systems, wipers, and universal joints. His research bridges theory and practice, often exploring the optimization of additive manufacturing, vacuum infusion, and preformed flexible segments. With a focus on mechanical innovation, his work pushes the envelope in adaptive systems and structural flexibility.

Impact and Influence

His peer-reviewed works are widely cited, including top-tier journals such as Machines, Mechanical Sciences, International Journal of Mechanics and Materials in Design, and Journal of Mechanical Science and Technology. His patents on compliant mechanisms and award-winning designs underline his impact on practical engineering challenges. Notably, he won the Best Academic Invention Award at the Istanbul International Inventions Fair in 2016, a testament to his innovative spirit and translational research.

Academic Citations & Publications

Dr. Karakuş has authored several influential publications:

  • A Novel Compliant Four-Bar Mechanism-Based Universal Joint Design (Machines, 2025)

  • Compliant Universal Joint with Preformed Flexible Segments (J Mech Sci Tech, 2022)

  • Novel Compliant Wiper Mechanism (Mechanical Sciences, 2018)

  • Altı Çubuklu Bir Esnek Mekanizma ile Araç Yönlendirme Sistemi (OGÜ MMF Dergisi, 2024)

He also holds two patents:

  • Compliant Suspension Mechanism – TR2022017803

  • Compliant Wiper Mechanism – TR201310617

These achievements affirm his expertise in compliant systems, with increasing citations reflecting his growing academic presence.

Technical Skills

Dr. Karakuş is proficient in:

  • CAD & CAM software (SolidWorks, CATIA)

  • Finite Element Analysis (FEA)

  • Additive Manufacturing & Rapid Prototyping

  • Compliant Mechanism Simulation

  • Mobility Systems Integration

  • Suspension & Powertrain Design for EVs

His technical breadth supports both theoretical development and hands-on engineering innovation.

Teaching Experience

Throughout his academic career at Hacettepe University, Dr. Karakuş has taught undergraduate and graduate courses in mechanism design, automotive systems, computer-aided design, and engineering dynamics. He has supervised numerous student projects, emphasizing creativity and interdisciplinary engineering.

Legacy and Future Contributions

Dr. Karakuş’s legacy lies in his interdisciplinary approach, uniting mechanical engineering principles with real-world defense and e-mobility challenges. His entrepreneurial project with TÜBİTAK on electric kick scooters with compliant suspension design exemplifies this vision. As the e-Mobility Unit Manager at FNSS, his future endeavors likely involve advancing green defense technologies and contributing to smart, compliant systems in rugged vehicle applications. His work will continue to influence the convergence of mechanical innovation, sustainability, and advanced manufacturing.

 Notable Publications

A Novel Compliant Four-Bar Mechanism-Based Universal Joint Design and Production

  • Authors: Raşit Karakuş

  • Journal: Machines

  • Year: 2025

Novel Compliant Wiper Mechanism

  • Authors: Raşit Karakuş, Tanık E.

  • Journal: Mechanical Sciences

  • Year: 2018

Transmission Angle in Compliant Four-Bar Mechanism

  • Authors: Raşit Karakuş, Tanık E.

  • Journal: International Journal of Mechanical Materials and Design

  • Year: 2023

Compliant Universal Joint with Preformed Flexible Segments

  • Authors: Raşit Karakuş, Tanık Ç.M.

  • Journal: Journal of Mechanical Science and Technology

  • Year: 2023

Optimization of Additive Manufacturing by Vacuum Infusion Method

  • Authors: Raşit Karakuş, Tanık Ç.M.

  • Journal: Gazi University Journal of Engineering and Architecture

  • Year: 2023

 

 

Amjaad Altakhaineh | Electrical Engineering | Excellence in Innovation

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Ms. Amjaad Altakhaineh | Electrical Engineering | Excellence in Innovation

AI and Electrical Engineering Researcher, Mutah university, Jordan.

Amjaad Tayel Altakhaineh is a skilled Telecommunications and Machine Learning Engineer based in Amman, Jordan. With over 3 years of experience, she excels in designing 5G/6G antennas, machine learning models, and data analysis. Her expertise spans from RF and antenna systems to AI-driven solutions for wireless communication. Amjaad is proficient in programming with Python and has contributed to numerous technical projects in both telecommunications and AI. She is an adept researcher, having worked on various projects in machine learning and antenna design for healthcare and smart city applications.

Profile

Scopus

Orcid

Education 🎓

Amjaad Tayel Altakhaineh is a dedicated engineer with a strong academic background in artificial intelligence and telecommunications. She completed her Diploma in AI and Machine Learning at Al Hussein Technical University, Jordan, in January 2023. Her capstone projects focused on cutting-edge solutions, including a deep learning approach to track breast cancer tumor evolution using antennas and a project aimed at reducing wireless communication traffic in smart city systems through artificial neural networks.

Prior to that, Amjaad earned her Master’s degree in Telecommunications Engineering from The University of Mutah, Jordan, in January 2022, where she graduated as the top student with a thesis titled “A New 5G Antenna with Large Frequency Ratio based on Dual-mode Composite,” achieving an impressive GPA of 92.29%. Her work demonstrated innovative designs for future telecommunication systems.

Her academic journey began with a B.Sc. in Electrical Engineering with a specialization in Telecommunications, also from The University of Mutah, which she completed in September 2016. Her undergraduate capstone project, “Smart Hat for Blind and Poor Vision People,” which garnered an excellent score of 85.36%, reflected her commitment to applying engineering principles to address real-world problems.

Experience 💼

Amjaad Tayel Altakhaineh has been serving as a Research Assistant at NATO since April 2022, where she focuses on antenna design for disaster applications and AI models. Her role includes contributing to research paper publications and participating in antenna measurement processes, showcasing her expertise in advanced technologies.

Previously, she worked as a Telecom Engineer Trainee at the Ministry of Communication from August 2017 to August 2018. There, she was responsible for supervising and maintaining network systems and testing communication technologies, gaining hands-on experience in the telecommunications field.

In her current role as a Python Programming Instructor at Pioneers-Jordan and the American University of Madaba (since August 2023), Amjaad teaches Python programming, data science, and machine learning, imparting her knowledge to students and professionals eager to advance their skills in these domains

Research Interests 🔍

Artificial Intelligence and Machine Learning: Proficient in applying AI techniques for various applications, including predictive modeling and data analysis.

Antenna Engineering for 5G/6G and RF Applications: Focused on designing antennas optimized for advanced telecommunications standards, contributing to her research at NATO.

Predictive Modeling and Data Analysis: Skilled in using data-driven methods to forecast trends and inform decision-making processes in various fields.

AI in Smart City and Healthcare Systems: Engaged in projects that leverage AI to improve infrastructure and health services, enhancing quality of life in urban environments.

Electromagnetic Simulation for Telecommunications: Experienced in using simulation tools to analyze and optimize the performance of communication systems, ensuring efficient and reliable network operations.

Awards 🏆

First Rank in the B.Sc. Program (2014-2016)

First Rank in the M.Sc. Program (2019-2022)

Al Hussein Technical University Diploma Scholarship (2022-2023)

Publications Top Notes 📚

Machine Learning-Aided Dual-Function Microfluidic SIW Sensor Antenna for Frost and Wildfire Detection Applications Energies Published: October 19, 2024 Contributors: Amjaad T. Altakhaineh, Rula Alrawashdeh, Jiafeng Zhou. Link

A Deca-Band, Shared-Aperture, Dual-Mode Composite Antenna for Microwave and Millimeter-Wave 5G Applications
International Review of Electrical Engineering Published: 2023  Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh. Link

A Quad-Band Shared-Aperture Antenna Based on Dual-Mode Composite Quarter-Mode SIW Cavity for 5G and 6G with MIMO Capability Electronics (Switzerland) Published: 2023 Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh, A.M. Almatarneh, E. Almajali, L. Al-Tarawneh, J. Yousaf. Link

Machine Learning-Enhanced Microfluidic SIW Sensor for Water-in-Fuel Detection Applications 2023 14th International Conference on Information and Communication Systems, ICICS 2023 Published: 2023 Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh. Link

A Dual-Frequency Single-Slot Substrate Integrated Waveguide Antenna for 5G Millimeter Applications 2022 International Conference on Emerging Trends in Computing and Engineering Applications, ETCEA 2022 – Proceedings Published: 2022 Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh. Link

 

 

 

 

 

Haowei Zhang | Engineering | Best Researcher Award

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Dr. Haowei Zhang | Engineering | Best Researcher Award

Ph.D student, The University of Hong Kong, Hong Kong.

👨‍🔬 Haowei Zhang is a dynamic researcher specializing in structural health monitoring, concrete structure damage detection, and computer vision-based bridge Weight-In-Motion (WIM) systems. With a Ph.D. in progress at The University of Hong Kong, he has made significant contributions through cutting-edge research and impactful publications in top-tier journals. Haowei’s work spans deep learning, machine learning, and advanced imaging techniques for infrastructure health assessment, making him a standout researcher in civil engineering.

Profile

Google Scholar

Education 🎓

Dr. Haowei Zhang is a current Ph.D. student in Civil Engineering at The University of Hong Kong, under the supervision of Prof. Ray Kai Leung Su. His doctoral research builds on his expertise in bridge safety performance and vehicle non-contact weigh-in-motion (WIM) technology. He holds a Master’s degree in Civil Engineering from Southeast University, where he focused on the safety performance of bridges, supervised by Prof. Gang Wu and Prof. Kang Gao. Prior to that, he earned his Bachelor’s degree from Northeastern University in China, with a thesis on experimental building design supervised by Prof. Zhechao Wang. During his undergraduate studies, he also attended a summer training program at the University of Oxford, where he explored micromechanics and its applications in liquid metal 3D printing.

Experience 💼

Dr. Haowei Zhang is currently pursuing a Ph.D. in Civil Engineering at The University of Hong Kong, supervised by Prof. Ray Kai Leung Su. He holds a Master’s degree in Civil Engineering from Southeast University, where his research focused on vehicle non-contact weigh-in-motion (WIM) technology and the safety performance of bridges. Additionally, he earned his Bachelor’s degree from Northeastern University, specializing in experimental building design.

Professionally, Dr. Zhang serves as a Junior Researcher at Dongqu Intelligent Transportation Infrastructure Technology (2023-present), where he contributes to the development of computer vision models and equipment for transportation infrastructure. He has also led research projects on bridge monitoring, concrete structure damage detection, and deep learning algorithms for weight identification. During his master’s studies, he worked as a part-time college psychological counselor at Southeast University, providing psychological support and managing data files for graduate students.

His work uniquely combines civil engineering, intelligent transportation systems, and mental health advocacy.

Research Interests 🔬

Haowei Zhang’s research interests lie in structural health monitoring, computer vision-based WIM systems, deep learning, machine learning applications in civil engineering, and non-contact vehicle weight identification. His work focuses on developing innovative solutions for monitoring the integrity of concrete structures and enhancing safety through advanced image processing and data analysis.

Awards 🏆

International Exhibition of Inventions of Geneva – Silver Prize (2024)
Honor of Individual Academic Innovation – Southeast University (2023)
First-Class Academic Scholarship – Southeast University (2021)
Outstanding Undergraduate Student of Liaoning Province (2021)
National Scholarship (2020)

Publications Top Notes 📄

Automatic crack detection on concrete and asphalt surfaces using semantic segmentation network with hierarchical Transformer, Engineering Structures, 2023 Cited by: 45. link

Non-contact vehicle weight identification method based on explainable machine learning models and computer vision, Journal of Civil Structural Health Monitoring, 2023 Cited by: 20. link

Fully decouple convolutional network for damage detection of rebars in RC beams, Engineering Structures, 2023 Cited by: 25. link

A machine learning and game theory-based approach for predicting creep behavior of recycled aggregate concrete, Case Studies in Construction Materials, 2022 Cited by: 35. link