Sina Safari | Mathematical Modeling | Best Researcher Award

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Dr. Sina Safari | Mathematical Modeling | Best Researcher Award

Senior research associate at University of Bristol, United Kingdom

Dr. Sina Safari 🎓 is a dynamic Senior Research Associate in Data Science for Material Engineering at the University of Bristol 🇬🇧, specializing in nonlinear dynamics, structural integrity, and AI/ML applications in engineering 💡🤖. With a Ph.D. in Dynamics and Control from the University of Exeter and a Global Talent Visa, he has authored numerous impactful publications 📚 in top-tier journals and conferences. His research integrates physics-informed machine learning, multiscale modeling, and fatigue testing to address real-world engineering challenges 🔬⚙️. A passionate educator 👨‍🏫 and Associate Fellow of the Higher Education Academy, he has also contributed to multiple high-profile research projects including SINDRI and ADDISONIC partnerships. Dr. Safari’s international collaborations, innovation in structural modeling, and leadership in research bids make him a rising force in computational and experimental mechanics 🌍🏗️.

Professional Profile 

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ORCID Profile

🎓 Education

Dr. Sina Safari holds a Ph.D. in Dynamics and Control from the University of Exeter, UK 🇬🇧, where his research focused on data-driven, physics-informed modeling of nonlinear dynamical systems from vibration data 📈🔬. Prior to this, he earned an M.S. in Hydraulic Structures from the University of Tabriz, Iran 🇮🇷, where he specialized in vibration control and fluid-structure interaction 🌊🏗️. He also holds a B.S. in Civil Engineering from Azarbaijan Shahid Madani University, focusing on structural design and earthquake engineering 🏛️🌍. His academic journey showcases a solid foundation in structural mechanics, coupled with advanced analytical techniques and interdisciplinary knowledge, preparing him for high-level research in modern mechanical and civil engineering domains. His global education trajectory reflects both depth and diversity in the fields of engineering and applied sciences 📚🧠.

💼 Professional Experience

Dr. Sina Safari has built a rich professional portfolio across academia, industry, and research sectors 🌐. Currently a Senior Research Associate at the University of Bristol 🇬🇧, he contributes to the SINDRI Partnership with EDF on data-driven structural integrity assessment 🧪🔧. Previously, he served as a postdoctoral researcher at Bournemouth University, leading fellowship bids and industrial consultancy projects. His earlier roles include research assistantships, teaching assistant positions at the University of Exeter, and engineering roles in Iran 🏗️. From MATLAB instruction to technical site engineering and structural design, his career spans hands-on construction to high-impact computational research. With consistent involvement in collaborative, cross-disciplinary environments, Dr. Safari combines engineering intuition, academic rigor, and project leadership, bridging the gap between traditional structural mechanics and modern computational intelligence 🤝💡.

🔬 Research Interests

Dr. Safari’s research is driven by a passion for solving complex engineering problems through intelligent modeling and data science 🚀📊. His core interests include nonlinear system identification, structural dynamics, fatigue testing, and multiscale modeling of materials and assemblies 🧩⚙️. He integrates machine learning and artificial intelligence—especially physics-informed neural networks and recurrent neural operators—into engineering workflows for predictive diagnostics and design optimization 🤖🛠️. Additionally, he works on shape optimization, vibration-based structural health monitoring, and uncertainty quantification of bolted joints. His research aligns with pressing challenges in aerospace, nuclear, and civil sectors, contributing toward digital twins and smart engineering systems. With a balance of experimental insight and data-driven innovation, Dr. Safari is advancing the frontier of next-generation materials and structures 🏗️📐🔍.

🏅 Awards and Honors

Dr. Sina Safari was awarded a fully funded Ph.D. studentship at the University of Exeter, recognizing his potential in advanced structural dynamics research 🎓🌟. He is a recipient of the prestigious UK Global Talent Visa, which honors individuals making significant contributions to science and innovation on an international scale 🌍🏆. His selection as a key researcher within UK-funded initiatives like the SINDRI and ADDISONIC projects reflects peer recognition of his scientific excellence and leadership. Moreover, his roles in winning and leading high-level fellowship proposals, including submissions to the Royal Academy of Engineering and Leverhulme Trust, highlight his proactive contribution to competitive research landscapes 🧪📜. These accolades underscore Dr. Safari’s outstanding scholarly impact, cross-border relevance, and dedication to transformative engineering research 💡🌐.

🛠️ Research Skills

Dr. Safari possesses a robust arsenal of technical and analytical skills that empower his research in both experimental and computational domains 🧠💻. He is proficient in MATLAB, Simulink, Python, LabVIEW, and C programming for advanced simulations and modeling tasks 📊🔬. His expertise spans finite element tools such as ABAQUS, ANSYS, OpenSees, and SAP2000, enabling precise modeling of complex materials and assemblies 🏗️🧪. Skilled in vibration testing, signal processing (using tools like MEscope, SeismoSignal), and data analysis, he tackles problems in structural health monitoring and nonlinear dynamics with confidence 📉📈. His experience also includes digital image correlation, machine learning implementation, and optimization techniques for structural design. With strong communication and collaborative research project management, Dr. Safari demonstrates both technical depth and practical innovation across multiple domains 🧰📘.

📝Publications Top Note

  • Parametric Study of Stochastic Seismic Responses of Base-Isolated Liquid Storage Tanks under Near-Fault and Far-Fault Ground Motions
    Authors: S. Safari, R. Tarinejad
    Year: 2018
    Citations: 38
    Published in: Journal of Vibration and Control, Vol. 24, Issue 24, pp. 5747–5764

  • Estimation of Inelastic Displacement Ratio for Base-Isolated Structures
    Authors: S. Yaghmaei-Sabegh, S. Safari, K.A. Ghayouri
    Year: 2018
    Citations: 28
    Published in: Earthquake Engineering & Structural Dynamics, Vol. 47, Issue 3, pp. 634–659

  • Direct Optimisation-Based Model Selection and Parameter Estimation Using Time-Domain Data for Identifying Localised Nonlinearities
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2021
    Citations: 19
    Published in: Journal of Sound and Vibration, Vol. 501, Article 116056

  • Data-Driven Structural Identification of Nonlinear Assemblies: Structures with Bolted Joints
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2023
    Citations: 18
    Published in: Mechanical Systems and Signal Processing, Vol. 195, Article 110296

  • Characterization of Ductility and Inelastic Displacement Demand in Base-Isolated Structures Considering Cyclic Degradation
    Authors: S. Yaghmaei-Sabegh, S. Safari, K.A. Ghayouri
    Year: 2019
    Citations: 18
    Published in: Journal of Earthquake Engineering, Vol. 23, Issue 4, pp. 557–591

  • Benchmarking of Optimisation Methods for Model Selection and Parameter Estimation of Nonlinear Systems
    Authors: S. Safari, J.L. Monsalve
    Year: 2021
    Citations: 4
    Published in: Vibration, Vol. 4, Issue 3, pp. 648–665

  • Nonlinear Function Selection and Parameter Estimation of Structures with Localised Nonlinearities – Part I: Numerical Analysis
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2020
    Citations: 3
    Published in: Nonlinear Structures and Systems, Proceedings of the 38th IMAC Conference on Structural Dynamics

  • Data-Driven Structural Identification of Nonlinear Assemblies: Asymmetric Stiffness and Damping Nonlinearities
    Authors: S. Safari, J.M.L. Monsalve
    Year: 2025
    Citations: 2
    Published in: Mechanical Systems and Signal Processing, Vol. 222, Article 111745

  • Importance of Virtual Sensing and Model Reduction in the Structural Identification of Bolted Assemblies
    Authors: S. Safari, J.M. Londoño Monsalve
    Year: 2023
    Citations: 1
    Published in: Proceedings of the Society for Experimental Mechanics Annual Conference, pp. 33–36

  • Statistical Calibration of Ultrasonic Fatigue Testing Machine and Probabilistic Fatigue Life Estimation
    Authors: S. Safari, D. Montalvão, P.R. da Costa, L. Reis, M. Freitas
    Year: 2025
    Published in: International Journal of Fatigue (under review), Article 109028

  • Data-Driven Structural Identification of Nonlinear Assemblies: Uncertainty Quantification
    Authors: S. Safari, D. Montalvão, J.M.L. Monsalve
    Year: 2025
    Published in: International Journal of Non-Linear Mechanics, Vol. 170, Article 105002

  • A New Design for Mitigating Interfering Modes in Cruciform Specimens to Enhance Ultrasonic Fatigue Testing
    Authors: D. Montalvão, S. Safari, W. Chidzikwe, P. Sewell, P. Costa, L. Reis, M. Freitas
    Year: 2025
    Published in: Procedia Structural Integrity, Vol. 68, pp. 472–479

📘 Conclusion

Dr. Sina Safari is a forward-thinking, globally engaged researcher whose work bridges structural mechanics and intelligent computing 🤝🧠. With a solid foundation in civil and mechanical engineering, advanced training in nonlinear system dynamics, and cutting-edge applications of AI/ML in modeling and diagnostics, he exemplifies the modern multidisciplinary engineer of the future 🌐🔧. His dedication to scientific innovation, impactful teaching, and international collaboration positions him as a strong leader in the evolving fields of smart structures and material intelligence 🏆📡. As he continues his journey at the University of Bristol and beyond, Dr. Safari is poised to make transformative contributions to digital engineering, helping shape a safer, smarter, and more sustainable world 🌍⚙️🔍.

Meysam Miralaei | Combinatorics | Best Researcher Award

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Dr. Meysam Miralaei | Combinatorics | Best Researcher Award

Postdoc researcher at University of Sao Paulo, Brazil

Dr. Meysam Miralaei is a dedicated researcher in Graph Theory and Combinatorics, with a strong academic foundation and international research experience 🌐. He earned his Ph.D. in Pure Mathematics from Isfahan University of Technology and has held postdoctoral positions at the Institute for Research in Fundamental Sciences (IPM) and Universidade de São Paulo 📘. His impactful publications in top-tier journals such as Journal of Graph Theory and Journal of Combinatorial Theory, Series B demonstrate his contributions to Ramsey Theory and saturation problems 📊. Actively engaged in academic service, he has co-organized several international workshops and conferences 🎓. With a growing international reputation, funded research, and collaborative projects across countries, Dr. Miralaei continues to advance mathematical research and knowledge sharing with dedication and vision 🔍✨.

Professional Profile

Education 🎓

Dr. Meysam Miralaei holds a strong academic background in mathematics. He completed his B.Sc. in Applied Mathematics at the University of Sistan and Balochestan (2007–2011), followed by an M.Sc. in Pure Mathematics from the University of Tehran (2011–2013) 📘. He pursued his Ph.D. in Pure Mathematics at Isfahan University of Technology (2013–2020) under the supervision of Golam Reza Omidi, where he developed a deep specialization in combinatorics and graph theory 📐. His academic journey reflects a continuous pursuit of mathematical excellence and research depth, with each stage marked by increasing specialization and research engagement. His work integrates rigorous training and mentorship under renowned mathematicians, laying a solid foundation for his ongoing research contributions in discrete mathematics and related areas 📚.

Professional Experience 💼

Dr. Miralaei has built an impressive professional portfolio through international academic roles. He began his postdoctoral research at the Institute for Research in Fundamental Sciences (IPM), Iran (2020–2023), later advancing to a senior postdoctoral position at the same institution (2023–2024) 🧠. Currently, he serves as a postdoctoral researcher at the Universidade de São Paulo, Brazil, under the mentorship of Prof. Yoshiharu Kohayakawa 🌎. His career includes teaching responsibilities such as instructing Graph Theory and Differential Equations at Isfahan University of Technology 📊. His professional engagements extend beyond research to include organizing international workshops and conferences, reinforcing his leadership in the academic community 🗂️. Dr. Miralaei’s roles reflect both the depth of his mathematical expertise and his active commitment to fostering scholarly exchange and collaboration.

Research Interest 🔍

Dr. Miralaei’s research interests lie primarily in graph theory, Ramsey theory, and extremal combinatorics. He is particularly engaged with problems related to size-Ramsey numbers, weak saturation, bootstrap percolation, and random graphs 🧩. His work often explores the probabilistic and structural aspects of graphs, blending classical combinatorial problems with modern techniques in discrete mathematics 📐. Recent publications in Journal of Graph Theory, Discrete Mathematics, and Journal of Combinatorial Theory underline his focus on both theoretical innovation and applied methodology. Additionally, his collaborative research across continents highlights his passion for solving complex mathematical challenges with global impact 🌍. Through constant inquiry and evolving focus, Dr. Miralaei continues to push the frontiers of mathematical understanding in graph-based structures and probabilistic methods.

Awards and Honors 🏅

Dr. Miralaei has received several forms of recognition that reflect his research potential and scholarly promise. Notably, he was awarded a prestigious FAPESP postdoctoral research grant in Brazil (2024) to support his work on Ramsey-finiteness under the guidance of Prof. Kohayakawa 🎓. He also received financial aid for a doctoral research stay at the University of Hamburg in 2017, supervised by Prof. Mathias Schacht 🌟. These competitive fellowships underscore the academic value and international relevance of his research. His participation in high-level research projects and invitations to organize conferences also highlight the respect he commands in the mathematics community 💼. These honors collectively affirm Dr. Miralaei’s trajectory as a rising expert in combinatorics and discrete mathematics.

Research Skills 🧠

Dr. Meysam Miralaei possesses advanced research skills in extremal graph theory, Ramsey theory, and probabilistic combinatorics, supported by a strong foundation in mathematical proof techniques and algorithmic problem-solving 🧮. He is adept in formal analysis, research paper writing, collaboration across disciplines, and academic presentation at global conferences 🎤. His computational thinking, analytical reasoning, and familiarity with research software for graph simulations further enhance his productivity. As an organizer of multiple workshops and a reviewer of academic content, he demonstrates strong scholarly judgment and peer-engagement skills. Dr. Miralaei also has a notable ability to identify open problems and collaborate on multi-author international projects, showcasing his readiness for leadership in mathematical research and communication 🔗📊.

Publications Top Notes

  • Title: On the size-Ramsey number of grid graphs
    Authors: D. Clemens, M. Miralaei, D. Reding, M. Schacht, A. Taraz
    Year: 2021
    Citations: 13
    Source: Combinatorics, Probability and Computing, 30(5), 670–685

  • Title: Size Ramsey numbers of stars versus cliques
    Authors: M. Miralaei, G. R. Omidi, M. Shahsiah
    Year: 2019
    Citations: 9
    Source: Journal of Graph Theory, 92(3), 275–286

  • Title: The multicolor size-Ramsey numbers of cycles
    Authors: R. Javadi, M. Miralaei
    Year: 2023
    Citations: 5
    Source: Journal of Combinatorial Theory, Series B, 158, 264–285

  • Title: The weak saturation number of K₂,t
    Authors: M. Miralaei, A. Mohammadian, B. Tayfeh-Rezaie
    Year: 2024
    Citations: 3
    Source: Discrete Mathematics, 347(9), 114078

  • Title: Pointwise almost periodicity in a generalized shift dynamical system
    Authors: F. Ayatollah Zadeh Shirazi, M. Miralaei
    Year: 2015
    Citations: 3
    Source: Caspian Journal of Mathematical Sciences (CJMS), 4(2), 197–204

  • Title: On the multicolor size Ramsey number of stars and cliques
    Authors: M. Miralaei, M. Shahsiah
    Year: 2020
    Citations: 2
    Source: Discrete Mathematics, 343(8), 111899

  • Title: Bootstrap percolation on the Hamming graphs
    Authors: M. Miralaei, A. Mohammadian, B. Tayfeh-Rezaie
    Year: 2024
    Citations: 1
    Source: arXiv preprint, arXiv:2403.05927

  • Title: Weak saturation numbers in random graphs
    Authors: O. Kalinichenko, M. Miralaei, A. Mohammadian, B. Tayfeh-Rezaie
    Year: 2023
    Citations: 1
    Source: arXiv preprint, arXiv:2306.10375

  • Title: Study of a Forwarding Chain in the Category of Topological Spaces between T₀ and T₂ with respect to One Point Compactification Operator
    Authors: F. Ayatollah Zadeh Shirazi, M. Miralaei, F. Zeinal Zadeh Farhadi
    Year: 2014
    Citations: 1
    Source: Chinese Journal of Mathematics, 2014(1), Article ID: 541538

  • Title: Saturation numbers of bipartite graphs in random graphs
    Authors: M. Miralaei, A. Mohammadian, B. Tayfeh-Rezaie, M. Zhukovskii
    Year: 2025
    Source: Discrete Mathematics, 348(9), 114561

  • Title: A Conjecture on Rainbow Hamiltonian Cycle Decomposition
    Authors: R. Javadi, M. Miralaei
    Year: 2024
    Source: arXiv preprint, arXiv:2403.17290

  • Title: The weak saturation number of
    Authors: M. Miralaei, A. Mohammadian, B. Tayfeh-Rezaie
    Year: 2022
    Source: arXiv preprint, arXiv:2211.10939

  • Title: Multicolor Size-Ramsey Number of Paths
    Authors: R. Javadi, M. Miralaei
    Year: 2021
    Source: Mathematical Researches, 7(3), 485–494

Conclusion ✨

Dr. Meysam Miralaei stands out as a promising and impactful researcher in the field of combinatorics and graph theory 🌟. With a well-rounded academic background, a growing list of high-quality publications, and international research exposure, he exemplifies scholarly dedication and innovation. His collaborative work across Iran, Germany, and Brazil reflects a dynamic and global approach to mathematical challenges 🌐. Through research, teaching, and community engagement, he contributes to both theoretical advancements and academic development. Supported by competitive fellowships and consistent scholarly output, Dr. Miralaei is well-positioned for continued excellence and leadership in mathematics. His career reflects both depth and forward-thinking vision—making him a strong contender for the Best Researcher Award 🏆📚.

Marwa Mansour | Topology | Best Researcher Award

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Dr. Marwa Mansour | Topology | Best Researcher Award

Researcher at Electronics Research Institute (ERI), Egypt

Dr. Marwa Mansour is a dedicated researcher in the Microelectronics Department at the Electronics Research Institute (ERI) in Cairo, Egypt. With a Ph.D. in Electronics and Communications Engineering from Ain Shams University, her expertise lies in RF transceiver design using CMOS technology and energy harvesting systems. Her research spans active and passive circuit designs, including power amplifiers, voltage-controlled oscillators, low-noise amplifiers, mixers, and phase-locked loops, with applications in 5G and millimeter-wave communications. She has collaborated on projects at the American University in Cairo and ERI, contributing to advancements in CMOS technology. Dr. Mansour has an extensive publication record in high-impact journals and IEEE awards, reflecting her significant contributions to the field. She is proficient in circuit and electromagnetic simulation tools like Cadence, ADS, HFSS, and CST Microwave Studio. With strong technical acumen and collaborative skills, she continues to push the boundaries of RF and energy-efficient electronic design.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Marwa Mansour earned her Ph.D. in Electronics and Communications Engineering from Ain Shams University, Egypt, where she specialized in RF transceiver design using CMOS technology. Her academic journey was marked by a strong foundation in microelectronics, circuit design, and wireless communication systems. She completed her master’s and bachelor’s degrees at the same institution, focusing on semiconductor devices, analog and digital circuit design, and energy-efficient electronics. Throughout her education, she demonstrated exceptional analytical and problem-solving skills, leading to her expertise in developing high-performance RF and millimeter-wave circuits. Her doctoral research significantly contributed to advancements in energy harvesting and low-power transceiver designs, making her a recognized expert in the field. With a commitment to lifelong learning, she has attended various technical workshops and advanced training programs to stay updated on emerging trends in microelectronics, solidifying her position as a leading researcher in CMOS-based RF system design.

Professional Experience

Dr. Marwa Mansour is a researcher in the Microelectronics Department at the Electronics Research Institute (ERI) in Cairo, Egypt. She has worked extensively on RF circuit design, CMOS technology, and energy harvesting systems, contributing to cutting-edge advancements in microelectronics. She has collaborated with the American University in Cairo on multiple research projects, focusing on integrated circuit design and high-frequency applications. Her role at ERI involves designing, simulating, and fabricating RF transceivers, power amplifiers, mixers, and low-noise amplifiers for 5G and millimeter-wave communication systems. She is proficient in industry-standard tools such as Cadence, ADS, HFSS, and CST Microwave Studio, which she employs in her research. Dr. Mansour has also mentored students and young researchers, sharing her knowledge and expertise in semiconductor technology and RF circuit design. Her contributions have not only advanced ERI’s research capabilities but have also strengthened Egypt’s presence in the global microelectronics research community.

Research Interest

Dr. Marwa Mansour’s research interests focus on RF transceiver design, energy-efficient electronic systems, and CMOS-based microelectronics. She specializes in the development of active and passive RF circuits, including power amplifiers, voltage-controlled oscillators, low-noise amplifiers, and phase-locked loops. Her work extends to energy harvesting technologies, aiming to enhance the sustainability and efficiency of wireless communication systems. She is particularly interested in millimeter-wave and 5G applications, exploring innovative circuit design techniques to improve performance and power efficiency. Dr. Mansour is also engaged in antenna-integrated CMOS systems, leveraging her expertise in electromagnetic simulation and circuit optimization. Her interdisciplinary research combines circuit design, signal processing, and semiconductor physics, driving advancements in high-frequency communication technologies. With a passion for innovation, she continuously explores new frontiers in RF and microwave engineering, aiming to contribute to the development of next-generation wireless systems and energy-autonomous electronic devices.

Awards and Honors

Dr. Marwa Mansour has received several awards and recognitions for her contributions to RF and CMOS circuit design. She has been honored for her research publications in high-impact journals and IEEE awards, showcasing her expertise in RF microelectronics. She has also been a recipient of research grants and fellowships that have supported her work in energy-efficient RF system development. Her collaborations with prestigious institutions like the American University in Cairo have further highlighted her excellence in the field. Dr. Mansour has been recognized for her role in mentoring students and young researchers, contributing to knowledge dissemination in microelectronics and RF engineering. She has actively participated in international awards, where she has received accolades for her innovative research presentations. Her outstanding contributions to circuit design and energy harvesting technologies continue to earn her recognition as a leading researcher in the field of RF and wireless communication systems.

Conclusion

Dr. Marwa Mansour is a highly skilled researcher in RF transceiver design, CMOS technology, and energy-efficient electronic systems. With a strong academic background, she has made significant contributions to microelectronics, particularly in developing advanced RF circuits for 5G and millimeter-wave applications. Her professional experience at the Electronics Research Institute (ERI) and collaborations with leading institutions reflect her expertise and dedication to advancing wireless communication technologies. Through her research in energy harvesting and low-power transceiver design, she continues to address critical challenges in RF and microwave engineering. Recognized for her academic and professional excellence, she has received multiple awards and honors for her contributions to the field. Dr. Mansour’s passion for innovation and mentorship further solidifies her role as a leader in the microelectronics research community. With her continued efforts, she remains at the forefront of cutting-edge RF system design and the future of energy-efficient wireless technologies.

Publications Top Noted

  • A mm‐Wave Power VCO and Frequency Doubler Based on Class‐C Architecture Using 130 nm CMOS Technology

    • Authors: Marwa Mansour, Islam Mansour
    • Year: 2025
    • Source: International Journal of Circuit Theory and Applications

  • Battery‐free ultra‐low‐power radio‐frequency receiver for mm‐wave applications using 130‐nm CMOS technology with harvested DC supplies

    • Authors: Marwa Mansour, Islam Mansour
    • Year: 2024
    • Source: International Journal of Circuit Theory and Applications

  • Comprehensive study of Class‐E/F2 and inverse Class‐F power amplifiers for mm‐Wave systems utilizing 130 nm CMOS process

    • Authors: Marwa Mansour, Islam Mansour
    • Year: 2024
    • Source: International Journal of Circuit Theory and Applications

  • Comprehensive review and study for the CMOS transformer tank voltage‐controlled oscillator

    • Authors: Marwa Mansour, Islam Mansour
    • Year: 2024
    • Source: International Journal of Circuit Theory and Applications

  • Low-Power Energy Harvesting Voltage Doubler Using CTLs Based on Inverse Class-F Configuration Compatible with Fifth Generation

    • Authors: Marwa Mansour
    • Year: 2024
    • Source: Circuits, Systems, and Signal Processing

  • A mm-Wave Radio Frequency Power Amplifier based on Transformers Coupling and 2nd Harmonic Termination Network using 130 nm CMOS Technology for 5G Applications

    • Authors: Mina Kamal, Marwa Mansour, Sherif Hekal, Abdelhalim Zekry
    • Year: 2023
    • Source: Preprint

  • Class‐F power oscillator based on complementary split ring resonator for sub‐6 GHz fifth generation and multistandard applications

    • Authors: Marwa Mansour, Islam Mansour, Mohamed Aboualalaa
    • Year: 2023
    • Source: International Journal of Circuit Theory and Applications

  • A 2 × 2 Array Antenna for Multi-band Energy Harvesting for Biomedical Sensing Applications

    • Authors: Nebras Sobahi, Reda Ghoname, Marwa Mansour, Abdelhalim Zekry
    • Year: 2022
    • Source: Book Chapter

  • K-band low phase noise Class-C VCOs using DGS inductor in CMOS technology

    • Authors: Islam Mansour, Marwa Mansour, Mohamed Aboualalaa
    • Year: 2022
    • Source: Microelectronics Journal