Dr. K. Lakshmi Prasanna | Engineering | Best Researcher Award

Published on by Physicist Particle

Dr. K. Lakshmi Prasanna | Engineering | Best Researcher Award

Visiting faculty at Birla Institute of Technology and Science Pilai, India

Dr. K. Lakshmi Prasanna 🎓 is a passionate researcher and academician in the field of High Voltage Engineering, with a strong command over system modeling, fault diagnostics, and parameter estimation using MATLAB/Simulink 🛠️. She brings a unique blend of theoretical insight and hands-on expertise in simulation, optimization, control systems, and signal processing. Her innovative Ph.D. work at BITS Pilani, Hyderabad focused on transformer winding modeling and inter-turn fault diagnostics 🔍, proposing novel, non-intrusive algorithms with real-world applicability. With a foundation in Power Electronics and Electrical Engineering ⚡, she also has teaching experience at multiple esteemed engineering colleges, nurturing minds in core subjects. Driven by curiosity and adaptability, she actively embraces new software tools and collaborative environments 💡. Her professional trajectory reflects a consistent commitment to academic excellence, technical rigor, and transformative innovation in electrical engineering. 🚀

Professional Profile

Orcid

Scopus

Google Scholar

📚 Education

Dr. Lakshmi Prasanna’s educational journey 🌱 reflects a steady and impressive rise through the academic ranks of electrical engineering. Beginning with a remarkable 96.9% in her Higher Secondary 🏫, she pursued her B.Tech in EEE and M.Tech in Power Electronics from JNTUA, scoring 85.1% and 85%, respectively 🎯. Her academic excellence culminated in a Ph.D. in High Voltage Engineering at BITS Pilani, Hyderabad Campus, where she maintained an impressive 8.0 CGPA 📈. Her doctoral thesis delved into cutting-edge research on transformer fault diagnosis and system modeling, placing her at the forefront of innovation in condition monitoring and electrical diagnostics. Throughout her educational path, she has consistently demonstrated not just technical brilliance but also a hunger for knowledge and an ability to bridge theory and application seamlessly 📘⚙️.

👩‍🏫 Professional Experience 

With over a decade of dedicated service in academia and research, Dr. Lakshmi Prasanna has built a versatile and impactful professional portfolio 🧠. Beginning her journey as an Assistant Professor at Rami Reddy Subbarami Reddy Engineering College (2012–2017), she laid her pedagogical foundations teaching essential subjects like Electrical Machines, Circuits, and Power Electronics 🔌. Her journey continued at St. Martin’s Engineering College (2017–2019), where she continued imparting technical knowledge with enthusiasm and clarity. From 2018 to 2025, her role as a Research Assistant at BITS Hyderabad marked a turning point, as she immersed herself in advanced simulation and transformer fault diagnostics 🔬. Beyond teaching, her experience also includes proposal writing, technical documentation using LaTeX, and collaborative interdisciplinary projects, marking her as a well-rounded professional 🌐📝.

🔍 Research Interests 

Dr. Lakshmi Prasanna’s research is deeply rooted in the intelligent modeling of electrical systems, with a spotlight on transformer winding diagnostics, state-space modeling, and parameter estimation using non-intrusive techniques 🧩. Her innovative Ph.D. work proposed the integration of subspace identification and similarity transformations to estimate transformer parameters and detect inter-turn faults purely from terminal measurements ⚙️🔍. Her expertise in MATLAB M-script development, COMSOL Multiphysics simulations, and system optimization reflects a rare proficiency in both simulation and real-world application. Additionally, she is intrigued by control systems, fault-tolerant design, and signal processing, with a strong drive toward creating robust, adaptive models for condition monitoring 🧠📊. Her work directly contributes to the reliability and safety of electrical infrastructure, making her research highly relevant to modern power systems and smart grid innovation 🌐⚡.

🏅 Awards and Honors

Dr. Lakshmi Prasanna’s academic journey is marked by consistently high achievements and academic recognition 🏆. From securing a 96.9% in her HSC to maintaining top scores through her undergraduate and postgraduate studies, her excellence has been evident from the outset 🎓. While formal awards during her doctoral years may not be listed, her selection and continuation at BITS Pilani, one of India’s premier institutions, is a distinction in itself 🌟. Her progression into high-level research projects, including complex simulation and modeling of transformer systems, attests to her recognition within the academic and research community. Her teaching roles across reputed engineering colleges and involvement in technical proposal writing and collaborative research are testaments to her leadership and scholarly respect 🥇. She continues to be acknowledged for her dedication, depth of knowledge, and clarity in delivering technical content.

Publications Top Notes 

1. Terminal-based method for efficient inter-turn fault localization and severity assessment in transformer windings

  • Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

  • Year: 2025

  • DOI: 10.1016/j.prime.2025.100982

  • Source: e-Prime – Advances in Electrical Engineering, Electronics and Energy

  • Summary: This study introduces a non-invasive method for identifying and assessing the severity of inter-turn faults in transformer windings using only external terminal measurements. The approach enhances fault detection accuracy without requiring internal access to the transformer.

2. Radial deformation detection and localization in transformer windings: A terminal measured impedance approach

  • Authors: Lakshmi Prasanna Konjeti, Manoj Samal, Mithun Mondal

  • Year: 2025

  • DOI: 10.1016/j.prime.2025.100945

  • Source: e-Prime – Advances in Electrical Engineering, Electronics and Energy

  • Summary: The paper presents a novel, non-invasive method for diagnosing radial deformation faults in transformer windings by analyzing terminal impedance measurements, enabling effective detection and severity assessment based on capacitance changes.

3. A non-iterative analytical approach for estimating series-capacitance in transformer windings solely from terminal measured frequency response data

  • Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

  • Year: 2025

  • DOI: 10.1016/j.epsr.2024.111086

  • Source: Electric Power Systems Research

  • Summary: This research proposes a non-iterative analytical method to estimate the series capacitance of transformer windings using only terminal frequency response data, simplifying the estimation process and improving accuracy.

4. Accurate Estimation of Transformer Winding Capacitances and Voltage Distribution Factor Using Driving Point Impedance Measurements

  • Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

  • Year: 2024

  • DOI: 10.1109/ACCESS.2024.3460968

  • Source: IEEE Access

  • Summary: The study introduces an innovative methodology for precisely estimating winding capacitances and the voltage distribution factor using driving point impedance measurements, enhancing transformer modeling and analysis.

5. A Symbolic Expression for Computing the Driving Point Impedance and Pole-Zero-Gain of a Transformer from its Winding Parameters

  • Authors: K. Lakshmi Prasanna

  • Year: 2023

  • DOI: 10.1109/INDICON59947.2023.10440729

  • Source: 2023 IEEE 20th India Council International Conference (INDICON)

  • Summary: This paper presents a symbolic expression for computing the driving point impedance and pole-zero-gain of a transformer based on its winding parameters, facilitating efficient analysis of transformer behavior.

6. Analytical computation of driving point impedance in mutually coupled inhomogeneous ladder networks

  • Authors: K. Lakshmi Prasanna, Mithun Mondal

  • Year: 2023

  • DOI: 10.1002/cta.3839

  • Source: International Journal of Circuit Theory and Applications

  • Summary: The research introduces a new approach for computing the driving point impedance of inhomogeneous ladder networks with mutual coupling, enhancing the accuracy of electrical network modeling.

7. Analytical formulas for calculating the electrical characteristics of multiparameter arbitrary configurational homogenous ladder networks

  • Authors: K. Lakshmi Prasanna

  • Year: 2023

  • DOI: 10.1002/cta.3547

  • Source: International Journal of Circuit Theory and Applications

  • Summary: This paper presents generalized analytical formulas for computing the electrical properties of multiparameter arbitrary configuration homogeneous ladder networks, aiding in the design and analysis of complex electrical circuits.

8. Terminal Measurements-Based Series Capacitance Estimation of Power Transformer Windings Using Frequency-Domain Subspace Identification

  • Authors: K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

  • Year: 2023

  • DOI: 10.1109/TIM.2023.3311074

  • Source: IEEE Transactions on Instrumentation and Measurement

  • Summary: The study proposes a method for estimating the series capacitance of power transformer windings using frequency-domain subspace identification based on terminal measurements, improving the accuracy of transformer diagnostics.

9. Elimination of Mutual Inductances from the State-Space Model of a Transformer Winding’s Ladder Network Using Eigen Decomposition

  • Authors: K. Lakshmi Prasanna

  • Year: 2022

  • DOI: 10.1109/CATCON56237.2022.10077664

  • Source: 2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)

  • Summary: This paper presents a method to eliminate mutual inductances from the state-space model of a transformer winding’s ladder network using eigen decomposition, simplifying the analysis of transformer dynamics.

10. Internet Of Things (IOT) in Distribution grid using DSTATCOM

  • Authors: K. Lakshmi Prasanna

  • Year: 2019

  • DOI: 10.1109/RDCAPE47089.2019.8979044

  • Source: 2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)

  • Summary: The paper discusses the integration of Internet of Things (IoT) technology with DSTATCOM in distribution grids to improve power factor and enable real-time monitoring, enhancing the efficiency and reliability of power distribution systems.

✅ Conclusion 

In conclusion, Dr. K. Lakshmi Prasanna stands as a beacon of innovation, diligence, and academic integrity in the realm of electrical engineering and high voltage research 🌟. Her journey from a stellar student to a dynamic researcher and dedicated educator is marked by technical excellence, innovative research, and a passion for teaching 🎯. With deep expertise in MATLAB/Simulink, transformer modeling, and non-intrusive diagnostics, she contributes meaningfully to the future of smart and resilient power systems ⚡💻. Her collaborative spirit, adaptability to emerging tools, and constant pursuit of knowledge ensure her continued relevance and impact in the scientific community 📚🚀. As she continues to explore new horizons in diagnostics and system modeling, her work promises to empower more efficient and intelligent energy systems of tomorrow 🔋🔬.

Yun Zhao | Engineering | Best Researcher Award

Published on by Physicist Particle

Assoc. Prof. Dr. Yun Zhao | Engineering | Best Researcher Award

Yun Zhao at Northwest Normal University, China

Dr. Yun Zhao 🎓 is an Associate Professor at the College of Physics and Electronic Engineering, Northwest Normal University 🏫, since 2020. He earned his Ph.D. in Materials Science and Engineering 🧪 from the Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences 🇨🇳, in 2020. Shortly after, he joined the Ningbo Institute of Materials Technology and Engineering 🔬 as a postdoctoral researcher. His work focuses on thin film photodetectors 📸 and semiconductor devices 💡. Dr. Zhao is passionate about next-gen optoelectronics and is actively contributing to innovation in functional materials and device engineering 🚀.

Professional Profile:

Orcid

Scopus

🎓 Education & Experience 

  • 📚 Ph.D. in Materials Science and Engineering, Lanzhou Institute of Chemical Physics, CAS – 2020

  • 🧑‍🏫 Postdoctoral Researcher, Ningbo Institute of Materials Technology and Engineering, CAS

  • 👨‍🏫 Associate Professor, College of Physics and Electronic Engineering, Northwest Normal University – Since 2020

📈 Professional Development 

Dr. Yun Zhao continuously engages in academic and research development through national and institutional collaborations 🤝. His postdoctoral work at the prestigious Ningbo Institute of CAS sharpened his experimental techniques and deepened his expertise in advanced semiconductors ⚙️. As an associate professor, he mentors young researchers 👨‍🔬 and collaborates on interdisciplinary projects across optics, electronics, and nanotechnology 🔍. He regularly attends academic conferences, publishes in reputed journals 📄, and reviews scientific manuscripts. His dedication to professional growth ensures he stays at the forefront of innovation in functional materials and optoelectronic devices 🌐.

🔬 Research Focus 

Dr. Yun Zhao’s research primarily revolves around thin film photodetectors 📸 and semiconductor devices ⚡. His focus lies in designing and fabricating new materials with enhanced sensitivity, stability, and performance for light-sensing technologies 🌞. He explores emerging materials such as perovskites and nanostructures 🌱 for integration into flexible and wearable electronics 🧤. His work bridges the gap between material science and applied electronics, aiming to revolutionize future optoelectronic systems 🔋. The end goal of his research is to contribute to high-performance, low-cost, and energy-efficient devices for real-world applications 🚗📱.

🏆 Awards and Honors 

  • 🎖️ Ph.D. fellowship from the Chinese Academy of Sciences

  • 🏅 Postdoctoral appointment at Ningbo Institute of Materials Technology and Engineering (CAS)

  • 🏆 Recognized for outstanding research contributions in thin film photodetectors

  • 📜 Multiple peer-reviewed publications in reputed international journals

Publication Top Notes

1. Understanding Proton Radiation-Induced Degradation Mechanisms in Cu₂ZnSn(S,Se)₄ Kesterite Thin-Film Solar Cells

Journal: Solar Energy
Date: May 2025
DOI: 10.1016/j.solener.2025.113450
Summary:
This study investigates how proton radiation affects the stability and performance of Cu₂ZnSn(S,Se)₄ (CZTSSe) thin-film solar cells. Proton radiation is relevant for space applications where solar cells are exposed to high-energy particles. The paper likely explores:

  • Changes in carrier lifetimes and defect states post-irradiation.

  • Structural or compositional changes in the absorber layer.

  • Strategies to mitigate degradation for improved radiation tolerance.

2. Multifunctional Artificial Electric Synapse of MoSe₂-Based Memristor toward Neuromorphic Application

Journal: The Journal of Physical Chemistry Letters
Date: February 6, 2025
DOI: 10.1021/acs.jpclett.4c03353
Summary:
This article presents a MoSe₂-based memristor designed to emulate biological synapses. The work focuses on neuromorphic computing, highlighting:

  • Synaptic plasticity behaviors (e.g., potentiation/depression).

  • Multifunctionality (possibly electrical + optical control).

  • Performance metrics like switching speed, retention, and endurance.

3. Exploring the Promoting Effect of Lanthanum Passivation on the Photovoltaic Performance of CZTSSe Solar Cells

Journal: The Journal of Chemical Physics
Date: December 21, 2024
DOI: 10.1063/5.0244645
Summary:
This paper studies how lanthanum (La) passivation enhances CZTSSe solar cell efficiency. Key aspects likely include:

  • Reduction in defect densities at grain boundaries or interfaces.

  • Improvements in open-circuit voltage and fill factor.

  • Insights into La’s role in modifying electronic structure or surface chemistry.

4. Electrical-Light Coordinately Modulated Synaptic Memristor Based on Ti₃C₂ MXene for Near-Infrared Artificial Vision Applications

Journal: The Journal of Physical Chemistry Letters
Date: August 29, 2024
DOI: 10.1021/acs.jpclett.4c02281
Summary:
This research showcases a Ti₃C₂ MXene-based memristor that responds to both electrical and light inputs, mimicking the retina for near-infrared vision. Highlights include:

  • Dual-mode modulation (electrical and optical).

  • Application in neuromorphic visual systems.

  • Spectral response analysis and synaptic behavior simulation.

5. Multicolor Fully Light-Modulated Artificial Synapse Based on P-MoSe₂/PxOy Heterostructured Memristor

Journal: The Journal of Physical Chemistry Letters
Date: August 29, 2024
DOI: 10.1021/acs.jpclett.4c01980
Summary:
This study introduces a heterostructured memristor combining P-doped MoSe₂ and PxOy, enabling light-tuned synaptic responses. Likely contributions:

  • Multicolor light sensitivity for multi-channel processing.

  • Photonic modulation of conductance states.

  • Integration prospects for optical neuromorphic systems.

Conclusion

Dr. Yun Zhao is highly suitable for the Best Researcher Award, particularly in categories related to emerging materials, device physics, or engineering sciences. His rapid academic progression, focused and relevant research in photodetectors and semiconductors, and training at top-tier institutions within the Chinese Academy of Sciences establish him as a promising and impactful researcher. Recognition through such an award would be both meritorious and motivating for his continued contributions to the field.

Thi Hong Nhung Vu | Engineering | Best Researcher Award

Published on by Physicist Particle

Dr. Thi Hong Nhung Vu | Engineering | Best Researcher Award 

Dr. Thi Hong Nhung V,  Vietnam National University of Forestry at Dong Nai, Vietnam

Dr. thi hong nhung v is a dedicated researcher and educator with nearly two decades of experience in teaching and research. Her studies have spanned multiple disciplines, focusing on the development of nanofibrous materials and composite biomaterials for medical and ecological applications. Her contributions include enhancing the fabrication and efficiency of PVA and PVA-chitosan nanofibers, with practical applications in drug delivery systems. An active participant in the academic community, she has attended numerous international conferences and has a strong publication record in high-impact journals. Dr. thi hong nhung v continues to innovate in the fields of nano biomaterials and bioengineering, driving advancements in both academia and applied sciences.

PROFILE

Orcid  Profile

Educational Detail

Dr. thi hong nhung v holds advanced degrees in fields related to biopolymers, nanomaterials, and bioengineering. She pursued her studies both in Vietnam and the Russian Federation. In Vietnam, she specialized in natural component extraction, while in the Russian Federation, her focus shifted to the development of nanofibrous materials for drug integration. Her education was complemented by projects involving artificial intelligence, optotechnics, bioengineering, and composite biomaterials.

Professional Experience

Dr. thi hong nhung v has 19 years of experience as a secondary school teacher and university lecturer in Vietnam. She has participated in and contributed to three significant research projects:

Artificial intelligence methods for cyber-physical systems.

Development of methods and tools for applied problems in optotechnics and bioengineering.

Composite biomaterials and technologies for ecophotonics and medicine.

Over the past five years, she has attended 12 international scientific conferences and published nine research articles in reputable journals indexed in SCI and Scopus. She has also contributed to book publications, with one carrying the ISBN 978-3-031-26907-3.

Research Interests

Dr. thi hong nhung v’s research interests include:

Biopolymers and polymers

Nano biomaterials and electrospinning

Nano biochemistry and nanomaterials

Her work focuses on developing and improving PVA and PVA-chitosan nanofibers, emphasizing solution composition, technological parameters, and the use of multicomponent solvent systems to enhance material properties and drug incorporation efficiency.

Top Notable Publications

thi hong nhung v, Study on Fabrication and Properties of Polyvinyl Alcohol/Chitosan Nanofibers Created from Aqueous Solution with Acetic Acid and Ethanol by the Electrospinning Method. Polymers, 2024, 16(23), 3393. DOI: 10.3390/polym16233393.

thi hong nhung v, Study on Fabrication and Properties of Polyvinyl Alcohol—Chitosan Nanofibers from Aqueous Solution with Acetic Acid and Ethanol by Electrospinning Method. Preprint, 2024. DOI: 10.20944/preprints202410.0296.v1.

thi hong nhung v, The Influence of Acetic Acid and Ethanol on the Fabrication and Properties of Poly(Vinyl Alcohol) Nanofibers Produced by Electrospinning. Polymer Bulletin, 2024, 81, 768-780. DOI: 10.1007/s00289-024-05168-2.

thi hong nhung v, A Systematic Investigation of Solution and Technological Parameters for the Fabrication and Characterization of Poly(Vinyl Alcohol–Chitosan) Electrospun Nanofibers. Polymers for Advanced Technologies, 2024, 35(5), 6423. DOI: 10.1002/pat.6423.

thi hong nhung v, Tafamidis Drug Delivery Systems Based on Chitosan/Polyvinyl Alcohol Matrix. ASEC 2023 Conference Proceedings, 2023. DOI: 10.3390/ASEC2023-15905.

thi hong nhung v, Fabrication of Polyvinyl Alcohol Nanofibers for the Delivery of Biologically Active Molecules. 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2022, pp. 117-123. DOI: 10.1109/iecbes54088.2022.10079434.

thi hong nhung v, Investigation of the Fabrication of Nanofibers from Aqueous Polyvinyl Alcohol Solutions by Electrospinning. Proceedings of the Voronezh State University of Engineering Technologies, 2022, 2, 210-220. DOI: 10.20914/2310-1202-2022-2-210-220.

Conclusion 

Based on her academic achievements, impactful research contributions, and interdisciplinary approach, Dr. Thi Hong Nhung V is an exemplary candidate for the Research for Best Researcher Award. Her work has significantly advanced the fields of nanotechnology and biomaterials, contributing to both scientific progress and practical applications in medicine and engineering.

 

 

 

 

 

 

 

 

 

 

Dalel Azaiez | Engineering | Best Researcher Award

Published on by Physicist Particle

Ms. Dalel Azaiez | Engineering | Best Researcher Award 

Ms. Dalel Azaiez, Higher Institute of Technological Studies of Gafsa, Tunisia

Ms. Dalel Azaiez is a skilled geotechnical engineer and educator based at the Higher Institute of Technological Studies of Gafsa, Tunisia. With a Ph.D. in Geotechnical Engineering from the National Engineering School of Tunis, she has contributed to the field through both academic and practical applications, including the invention of the Cylindrical Shear Tool (TN 2020/0256). Her expertise spans civil engineering, soil mechanics, and quality control, and she brings practical knowledge to her teaching roles across several prestigious Tunisian institutions. Ms. Azaiez is proficient in technical tools such as Python, AutoCAD, and Arche Ossature, complemented by certifications in quality management and language proficiency.

PROFILE

Google  Scholar Profile

Scopus Profile

Educational Details

Ms. Dalel Azaiez is an accomplished academic and geotechnical engineer with a diverse background in civil engineering, teaching, and research innovation. She earned her Doctor of Philosophy in Geotechnical Engineering from the National Engineering School of Tunis (2015-2023), where she also contributed as a research engineer at SIMPRO, a firm specializing in geotechnical engineering. Her work led to the co-invention of the Cylindrical Shear Tool (TN 2020/0256), showcasing her drive for advancing practical applications in engineering. Ms. Azaiez’s earlier studies include a Civil Engineering degree from the National Engineering School of Sfax (2012-2015) and preparatory coursework in mathematics and physics at the Sfax Preparatory Engineering Institute, following her high school studies at Mohamed Ali Sfax.

Professional Experience

Ms. Azaiez has a rich teaching history across various esteemed institutions in Tunisia. Currently, she serves as a contract teacher at the Higher Institute of Technological Studies of Gafsa, where she instructs on quality control, computer-aided design, and project planning software, among other engineering-related topics. Her previous teaching roles include work as a temporary teacher at the Private Higher School of Engineering and Technology (ESPRIT), the Military Academy Fondouk El Jdid, and the National Engineering School of Tunis. Additionally, she taught practical classes in soil mechanics at the Higher Institute of Environmental Technologies, Urban Planning, and Building (ISTEUB).

Research Interest

Ms. Azaiez’s research is rooted in soil mechanics, materials testing, and innovative geotechnical engineering tools. Her contributions are marked by a strong focus on applying theoretical knowledge to solve real-world engineering problems, evident from her involvement in patenting the Cylindrical Shear Tool. Her technical acumen spans laboratory testing methods, geotechnics, and practical civil engineering applications.

Skills and Training

Her skill set includes proficiency in Python, AutoCAD 2D, and specialized engineering software like Arche Ossature. Ms. Azaiez is certified in ISO 9001 Quality Management and holds a DELF diploma, confirming her multilingual proficiency. Her continuous learning is exemplified by recent training in Python (2024), enhancing her technical and programming capabilities.

Ms. Azaiez’s academic, research, and teaching experiences underscore her commitment to geotechnical engineering and applied sciences, contributing to her impactful role in Tunisia’s higher education landscape.

Top Notable Publications

Azaiez, D., Boullosa Allariz, B., Levacher, D. (2024). Study of Physical and Mechanical Relationships during the Natural Dewatering of River Sediments and a Kaolin. Journal of Marine Science and Engineering, 12(8), 1354. Citations: 0.

Manigniavy, S.A., Bouassida, Y., Azaiez, D., Bouassida, M. (2023). Using Compression and Swelling Indices to Characterize Expansive Soils. Lecture Notes in Civil Engineering, 305, pp. 121–128. Citations: 1.

Bouassida, M., Azaiez, D. (2023). New Tool for the Measurement of Soils’ Shear Strength. Lecture Notes in Civil Engineering, 305, pp. 63–76. Citations: 0.

Azaiez, D., Bouassida, M. (2022). An Efficient Tool to Determine Undrained Shear Strength of Soft Soils. Geotechnical Engineering, 53(4), pp. 25–35. Citations: 0.

Bouassida, M., Manigniavy, S.A., Azaiez, D., Bouassida, Y. (2022). New Approach for Characterization and Mitigation of the Swelling Phenomenon. Frontiers in Built Environment, 8, 836277. Citations: 8.

Bouassida, M., Azaiez, D. (2019). On the Determination of Undrained Shear Strength from Vane Test. Sustainable Civil Infrastructures, pp. 50–68. Citations: 2.

Azaiez, D., Bouassida, M., Boullosa Allariz, B., Levacher, D. (2018). On the Characterization and Valorization of Sediments. 1st International Conference on Advances in Rock Mechanics, TuniRock 2018, pp. 133–142. Citations: 1.

Conclusion

Based on her academic qualifications, innovation in tool development, teaching experience, and research focus, Ms. Dalel Azaiez is a competitive candidate for the “Research for Best Researcher Award.” Her achievements and contributions highlight her dedication to advancing geotechnical engineering, which aligns well with the award’s focus on recognizing impactful research and practical innovation.