Saif Rahman | Solid State Electronics | Best Researcher Award

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Dr. Saif Rahman | Solid State Electronics | Best Researcher Award

Postdoc Researcher from Xian Jiaotong Liverpool University, China

Dr. Saif Ur Rehman is a distinguished researcher and academic professional specializing in solid-state electronics, photonics, and wide bandgap semiconductor materials. With a PhD in Electrical Engineering and two postdoctoral tenures at premier Chinese research institutes, including the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) and Xi’an Jiaotong-Liverpool University, Dr. Rehman brings extensive experience in both theoretical and applied aspects of electrical and electronics engineering. He has over a decade of teaching and research experience at reputable institutions in Pakistan and China. His career reflects a strong commitment to interdisciplinary innovation, bridging electrical engineering with materials science and photonic technologies. He has led and participated in several government-funded research projects, supervised multiple MS and PhD theses, and played vital roles in academic program management and university-industry collaboration. Dr. Rehman’s research interests lie at the intersection of next-generation electronic devices and materials, aiming to address global technological challenges through practical applications. His contributions extend beyond research into academic leadership, curriculum development, and organizing scientific conferences. Recognized by international fellowship programs and national academic bodies, Dr. Saif Ur Rehman continues to inspire innovation and excellence in the field of electronics and communication technologies.

Professional Profile

Education

Dr. Saif Ur Rehman has an extensive academic background in electrical and electronics engineering, beginning with a Bachelor of Science in Electronics Engineering from Mohammad Ali Jinnah University, Islamabad, completed in 2010. He then pursued a Master’s degree in Electronics Engineering at the same university, graduating in 2012, where he honed his expertise in circuit design, communication systems, and semiconductor technology. He further advanced his academic journey with a PhD in Electrical Engineering from Capital University, Islamabad, which he completed in 2019. His doctoral research laid the groundwork for his specialization in wide bandgap materials and device modeling, positioning him as a leading researcher in the field. Following his PhD, Dr. Rehman engaged in two prestigious postdoctoral research appointments. From 2022 to 2023, he served as a Postdoctoral Research Associate at the GPL Photonics Lab, CIOMP, Chinese Academy of Sciences, where he worked on 2D and UWBG materials for photonics. In 2025, he began another postdoctoral tenure at Xi’an Jiaotong-Liverpool University, focusing on cutting-edge photonic and semiconductor technologies. This strong educational foundation, coupled with specialized international research training, has equipped Dr. Rehman with a deep understanding of both the theoretical and applied dimensions of modern electrical and electronic engineering.

Professional Experience

Dr. Saif Ur Rehman’s professional journey spans over 14 years across teaching, research, and leadership roles in academic and research institutions. He is currently serving as a Postdoctoral Researcher at the School of Advanced Technology, Xi’an Jiaotong-Liverpool University, China. Prior to this, he completed a one-year postdoctoral fellowship at the renowned GPL Photonics Lab at CIOMP, Chinese Academy of Sciences, where he worked on photonics and ultrawide bandgap materials. Between 2015 and 2024, Dr. Rehman held a significant academic role as Assistant Professor at the Faculty of Engineering, Superior University Lahore. In this position, he led several initiatives, serving as Program Manager for Biomedical Engineering and Postgraduate Programs, and acting as the focal person for the ORIC and National ICT Research Initiative projects. Earlier, he served as Lecturer in the Electrical Engineering Department at the University of Lahore (Islamabad Campus) from 2011 to 2015. Throughout his career, he has also contributed to student mentorship, final year project coordination, lab management, and industrial-academic linkages. His well-rounded experience in both teaching and research makes him a valuable asset to any academic or R&D institution aiming to foster innovation in engineering and advanced materials.

Research Interests

Dr. Saif Ur Rehman’s research interests span a wide range of topics at the forefront of electrical and electronics engineering, with particular focus on semiconductor devices and photonics. He specializes in Silicon Carbide (SiC) MESFETs, including AC and DC analysis, and nonlinear device modeling. His work on 2D and ultra-wide bandgap (UWBG) materials plays a crucial role in next-generation photonic devices and laser-matter interaction studies. Dr. Rehman is also actively engaged in research on microwave and millimeter-wave Monolithic Microwave Integrated Circuit (MMIC) design, an essential component of advanced communication systems. He is deeply involved in the design and simulation of advanced heterojunction microwave circuits, temperature-dependent device analysis, and FinFET negative capacitance analysis. His academic and applied research endeavors also explore the integration of machine learning with smart grid converters, the performance of electric vehicles using wide bandgap materials, and the optimization of distributed generation systems. With a multidisciplinary approach that includes mathematical modeling, simulation, and optimal circuit design, Dr. Rehman’s research contributes significantly to the development of more efficient, scalable, and high-performance electronic systems and devices for emerging applications in energy, communication, and computing.

Research Skills

Dr. Saif Ur Rehman brings a robust set of research skills that reflect his deep engagement with advanced technologies in electronics, photonics, and semiconductor devices. He is proficient in analytical modeling and nonlinear circuit simulation, with extensive experience in software tools such as MATLAB, OriginLab, Advanced Design System (ADS), and Circuit Maker. His skills also extend to photonic device analysis, microstrip patch antenna design, and wide bandgap semiconductor characterization. During his postdoctoral research, he gained hands-on expertise in photonics lab experiments, focusing on 2D materials and their applications in ultrafast optics. Dr. Rehman is adept at mathematical modeling and optimization techniques, essential for improving performance and efficiency in smart grid systems, electric vehicle converters, and communication circuits. His programming capabilities in Python, combined with foundational knowledge from online courses in data science and design thinking, enable him to bridge engineering innovation with user-centric development. Additionally, his technical report writing and scientific communication skills are strong, as evidenced by his leadership in funded research projects and student supervision. These diverse research competencies allow him to address complex engineering problems with innovative, practical, and scalable solutions across various domains.

Awards and Honors

Dr. Saif Ur Rehman has received several prestigious awards and honors that underline his academic excellence and research impact. Most notably, he was awarded the CAS President’s International Fellowship Initiative (PIFI), a highly competitive grant supporting advanced research in China. This opportunity enabled him to work at the Changchun Institute of Optics, Fine Mechanics and Physics on a project involving 2D and UWBG materials for photonics, with a significant funding of 6 million RMB. He is also recognized as a Higher Education Commission (HEC) Approved PhD Supervisor in Pakistan, affirming his credibility in postgraduate academic mentoring. Dr. Rehman served as a Focal Person for various national research initiatives including the National Grassroots ICT Research Initiative and the Office of Research, Innovation and Commercialization (ORIC), playing a key role in securing and executing research projects. His participation as a speaker at international conferences such as the Saudi Arabia Smart Grid Conference (SASG 2019) and technical contributions to events like IEECON and ICEET further reflect his active engagement in the global research community. His involvement in academic committees, conference organization, and industrial-academic partnerships highlight his commitment to collaborative innovation and knowledge dissemination.

Conclusion

Dr. Saif Ur Rehman stands out as a dynamic and accomplished researcher whose contributions to electrical engineering, photonics, and semiconductor technology are both impactful and forward-thinking. His educational journey from undergraduate to postdoctoral levels showcases a clear trajectory of academic excellence, while his professional experience across institutions in Pakistan and China reflects versatility and global engagement. He combines a strong theoretical foundation with practical research, evident from his work on wide bandgap materials, smart grid solutions, and microwave device modeling. His leadership in managing academic programs and securing national research funding underscores his strategic thinking and project management capabilities. Moreover, his active supervision of postgraduate students, participation in international forums, and consistent commitment to learning through specialized courses reveal a researcher committed to lifelong development and academic excellence. With his broad skillset, international exposure, and contributions to both research and teaching, Dr. Rehman is exceptionally well-positioned for recognition through the Best Researcher Award. His career reflects a harmonious balance of innovation, collaboration, and service to the scientific and academic communities, making him a valuable contributor to the global advancement of engineering and applied sciences.

Publications Top Notes

  1. An Enhanced Convolutional Neural Network (CNN) based P-EDR Mechanism for Diagnosis of Diabetic Retinopathy (DR) using Machine Learning

Authors: Hussain, M.; Ahmed, H.A.; Babar, M.Z.; Ali, A.; Shahzad, H.M.; Rehman, S.U.; Khan, H.; Alshahrani, A.M.
Year: 2025

2. Impact of Bidirectional Semiconductor Devices on DC and Hybrid Microgrids Enhanced by Wide Bandgap Materials

Authors: Abdul Waheed; Saif ur Rahman; Raheem Sarwar
Year: 2025

3. A Machine Learning-based Solution for Monitoring of Converters in Smart Grid Application

Authors: Umaiz Sadiq; Fatma Mallek; Saif Ur Rehman; Rao Muhammad Asif; Ateeq Ur Rehman; Habib Hamam
Year: 2024

4. Advancing Wearables: Dual-Band Antenna Design with High Permittivity Miniaturization using Natural Substrate

Authors: Arshad, S.; Rehman, S.U.; Ibrar, M.; Ellahi, M.
Year: 2024

5. An Efficient Technique to Simulate the AC/DC Parameters of Trigate FinFETs

Authors: Qamar ud Din Memon; Saif Rehman; Muhammad Adil Bashir; Noor Muhammad Memon; Mohd Anul Haq; Sultan Alharby; Ahmed Alhussen; Ateeq Ur Rehman
Year: 2024

6. Hybrid multimodule DC–DC converters accelerated by wide bandgap devices for electric vehicle systems

Authors: Abdul Waheed; Saif ur Rehman; Faisal Alsaif; Shoaib Rauf; Ismail Hossain; Mukesh Pushkarna; Fsaha Mebrahtu Gebru
Year: 2024

7. Optimal Locating and Sizing of DG in Radial Distribution System Using Modified Shuffled Frog Leaping Algorithm

Authors: Rao Muhammad Asif; Ateeq Ur Rehman; Naif Alsharabi; Sajjad Rabbani; Mustafa Shakir; Nauman Malik; Saif Ur Rehman; Arfat Ahmad Khan
Year: 2022

8. Efficient Electric Vehicle Charger Based on Wide Band-gap Materials for V2G and G2V

Authors: A. Waheed; S. Rehman; M. W. Hassan; U. Sadiq; M. Asif
Year: 2022

9. Performance comparison of structured H ∞ based looptune and LQR for a 4-DOF robotic manipulator

Authors: Arafat Asghar; Muhammad Iqbal; Abdul Khaliq; Saif ur Rehman; Jamshed Iqbal; Qichun Zhang
Year: 2022

10. Fault Interruption Scheme for HVDC System Using SiC-MESFET and VCB Based Hybrid Circuit Breaker

Authors: Waheed A. Khan; Ali Raza; Muhammad Rehan Usman; Shahzaib Hamid; Saif Rehman; Arslan; Christos Politis
Year: 2021

Doojin Lee | Electrical Engineering | Best Researcher Award

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Prof. Dr. Doojin Lee | Electrical Engineering | Best Researcher Award

Changwon National University, South Korea

Dr. Doojin Lee is an Assistant Professor in the Department of Electronic Engineering at Changwon National University (CWNU), South Korea. His work bridges theoretical and applied aspects of antenna design, ultra-wideband (UWB) radar systems, electromagnetic cloaking, and advanced signal processing. With postdoctoral and research experience at globally recognized institutions — including The Ohio State University, University of Waterloo, University of Mississippi, and South Korea’s Agency for Defense Development — Dr. Lee has established himself as a rising expert in his field. His research includes contributions to NASA projects, military radar systems, biomedical sensing, and wearable imaging technologies. Dr. Lee’s expertise spans hardware and software, covering antenna simulation, fabrication, electromagnetic measurements, and radar algorithm development. Beyond research, he contributes actively as a reviewer for prestigious journals such as IEEE Transactions on Antennas and Propagation, IEEE Access, and IET Electronics Letters, reflecting his international reputation. He is also a long-standing member of the Korean Institute of Electromagnetic Engineering and Science. Dr. Lee’s professional trajectory is marked by steady academic growth, international collaborations, and technical excellence, making him a promising candidate for research recognition. He continues to push the boundaries of radar and antenna technologies, with a vision to develop next-generation electromagnetic sensing systems for diverse applications.

Professional Profile

Education

Dr. Doojin Lee completed his integrated M.S./Ph.D. program at the Gwangju Institute of Science and Technology (GIST), South Korea, earning his doctorate in Biomedical and Electronic Engineering in 2017. His dissertation focused on ultra-wideband electromagnetic sensors, particularly resistively loaded dipole antennas for skull imaging applications, setting the stage for his specialization in biomedical and radar sensing technologies. Before his graduate studies, he earned his B.S. in Electronic Engineering from Changwon National University (CWNU) in 2012, where his foundation in mechatronics and electronics developed. Post-Ph.D., Dr. Lee pursued advanced research as a postdoctoral fellow at the University of Waterloo, Canada, where he worked on UWB pulsed radar sensors for UAV applications and electromagnetic remote sensing. He continued as a postdoctoral fellow at The Ohio State University, focusing on GNSS receiver design and ground-penetrating radar antennas in collaboration with NASA. Later, as a research associate at the University of Mississippi, he explored electromagnetic cloaking using mantle metasurfaces. This diverse international educational and research background has shaped Dr. Lee’s multidisciplinary approach, blending antenna design, signal processing, and sensing technologies. His formal education and postdoctoral training reflect a consistent focus on cutting-edge electromagnetic research.

Professional Experience

Dr. Doojin Lee’s professional experience spans both academic and applied research settings, reflecting a balance of theoretical innovation and practical development. Since October 2022, he has served as an Assistant Professor in the School of Electrical, Electronic, and Control Engineering at Changwon National University (CWNU), South Korea, where he focuses on ultrawideband (UWB) antenna design and electromagnetic cloaking theories. Prior to this, Dr. Lee worked as a senior researcher at the Agency for Defense Development (ADD) in South Korea from 2020 to 2022, contributing to the analysis of electromagnetic interference on integrated masts for advanced naval combat systems under the KDDX project. Earlier, he gained international research experience at leading institutions: at the University of Mississippi, he worked on metasurface-based electromagnetic cloaking; at The Ohio State University’s ElectroScience Laboratory, he collaborated with NASA on GNSS receivers and non-contact GPR antennas; and at the University of Waterloo, he developed UWB radar sensors for UAVs and military surveillance. These roles demonstrate his broad expertise in antenna design, radar systems, electromagnetic sensing, and applied defense technologies. His career path highlights a progressive blend of academic leadership, government-funded research, and cross-national collaborations in cutting-edge electromagnetic engineering.

Research Interests

Dr. Doojin Lee’s research interests center on the design, development, and verification of advanced electromagnetic and radar systems. His work on ultra-wideband (UWB) impulse radar sensors addresses critical applications such as ground-penetrating radar, foliage-penetration radar, and through-wall radar imaging, making significant contributions to both civilian and military sectors. He is particularly interested in antenna innovations, including the design of small, planar, resistive, wrapped, and bowtie antennas, as well as the development of multi-input multi-output (MIMO) antenna arrays and packaging techniques. Another major focus area is electromagnetic cloaking, where Dr. Lee explores mantle metasurfaces to decouple closely spaced or overlapping phased antenna arrays, aiming to minimize electromagnetic interference and improve system efficiency. Additionally, his work on GNSS antenna receiver design advances the field of precise global navigation technologies, which are critical for aerospace and geospatial applications. He also has strong interests in physics-based and radar image signal processing, where algorithm development complements his hardware innovations. Overall, Dr. Lee’s research integrates electromagnetic theory, materials, hardware design, and signal processing, creating a comprehensive portfolio that addresses both fundamental scientific challenges and real-world sensing and communication problems.

Research Skills

Dr. Doojin Lee possesses a wide range of advanced research skills that span simulation, fabrication, measurement, and analysis. He is proficient in using leading electromagnetic simulation software such as HFSS, CST, FEKO, ADS, AutoCAD, and OrCAD, which allow him to design and optimize complex antenna structures and radar systems. His programming and data analysis capabilities are supported by strong MATLAB skills, essential for algorithm development and signal processing tasks. In hardware, Dr. Lee is experienced in photolithography and chemical etching techniques for precise PCB fabrication, enabling the creation of experimental prototypes for antenna and radar testing. His measurement expertise includes operating vector network analyzers, conducting far-field and near-field antenna measurements, and analyzing electromagnetic interference, ensuring accurate experimental validation of designs. Additionally, Dr. Lee is skilled in using LaTeX for scientific publishing, reflecting his experience in preparing high-quality technical reports and journal articles. These combined technical competencies allow him to bridge the full cycle of research and development, from theoretical design and simulation to prototype fabrication, experimental testing, and performance optimization across a broad range of electromagnetic applications.

Awards and Honors

While specific named awards or honors are not detailed in the available records, Dr. Doojin Lee’s professional recognition is evidenced by his continuous role as a reviewer for top-tier international journals, including IEEE Transactions on Antennas and Propagation, IEEE Access, and IET Electronics Letters. Serving as a reviewer for these journals since 2017–2018 demonstrates that his expertise is trusted and valued by the global scientific community, an acknowledgment that often parallels formal academic honors. Additionally, Dr. Lee’s selection as a research collaborator on NASA-supported projects and national defense research programs such as the KDDX initiative reflects a level of professional respect and trust awarded only to highly competent and reliable experts. His early-career achievements, including publication highlights and a featured interview in Electronics Letters, further underscore his growing recognition in the field of electromagnetic engineering. While expanding his portfolio with formal awards, fellowships, or competitive research grants would further boost his profile, his current standing as a respected contributor and international collaborator already places him among promising researchers with a steadily rising reputation.

Conclusion

In conclusion, Dr. Doojin Lee presents himself as a highly capable, technically skilled researcher with a clear focus on advancing antenna and radar system technologies. His academic and professional journey demonstrates a consistent commitment to both foundational and applied research, with projects that span biomedical sensing, aerospace communication, ground-penetrating radar, and electromagnetic cloaking. His technical mastery across simulation, fabrication, measurement, and signal processing enables him to contribute meaningfully to complex, multidisciplinary projects. Dr. Lee’s reputation as a regular reviewer for top international journals and his history of collaboration with prestigious organizations like NASA and national defense agencies position him as an emerging leader in his field. To maximize his competitiveness for high-level research awards, he may benefit from increasing his formal leadership in large-scale projects, expanding his independent research funding, and documenting high-impact contributions such as patents, innovations, or societal applications. Overall, Dr. Lee’s research excellence, international collaborations, and specialized expertise make him a strong candidate for recognition through a Best Researcher Award, reflecting both his current accomplishments and his significant potential for future contributions.

Publications Top Notes

  1. Design of Multi-Time Programmable Intellectual Property with Built-In Error Correction Code Function Based on Bipolar–CMOS–DMOS Process

    • Authors: L. Li, S. Kwon, D. Kim, D. Lee, Y. Kim

    • Year: 2025

  2. Investigation of Dual-Mode Cloaked Cylindrical Slot Antennas with a Pulsed Radar Signal Processing

    • Authors: D. Lee, A.B. Yakovlev

    • Year: 2024

  3. Design and Investigation on Antipodal Vivaldi Antenna Emitting a Pulse-Like Waveform for Imaging Close-Range Objects

    • Authors: D. Lee, S. Raman, R. Augustine

    • Year: 2024

    • Citations: 1

 

Mohammad Maalandish | Power Electronics | Best Researcher Award

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Dr. Mohammad Maalandish | Power Electronics | Best Researcher Award

Assistant Professor from Gdansk University of Technoloy, Iran

Mohammad Maalandish is an emerging researcher in the field of power electronics, currently pursuing a Ph.D. at the University of Tabriz, Iran. With a focused and impactful academic trajectory, he has contributed significantly to the advancement of energy conversion systems, particularly in designing and controlling high-performance DC-DC and DC-AC power converters. Born in 1990 in Marand, Iran, he completed his B.Sc. in Electrical Engineering from Azarbaijan Shahid Madani University and his M.Sc. in Power Electronics from the University of Tabriz. Mohammad has published over 40 journal and conference papers, many of which appear in high-ranking international journals. His work has been recognized nationally and internationally through prestigious awards and inclusion in Stanford’s World’s Top 2% Scientists list for several consecutive years. Apart from research, he is actively involved in teaching and laboratory activities, demonstrating a commitment to academic mentorship. His international exposure through a research visit to Aarhus University in Denmark further strengthens his global research outlook. Equipped with a range of technical skills and a collaborative mindset, Mohammad exemplifies a new generation of dedicated scholars whose contributions are shaping the future of energy systems and electronic applications.

Professional Profile

Education

Mohammad Maalandish’s educational background demonstrates a strong and focused progression in the field of electrical and power engineering. He began his academic journey at Azarbaijan Shahid Madani University in Tabriz, Iran, where he earned his B.Sc. in Electrical Engineering in 2013. Motivated to specialize further, he pursued his M.Sc. in Power Electronics at the University of Tabriz, completing it in 2016. His postgraduate studies centered on advanced topics in power electronics, laying a solid foundation for research in power conversion and control systems. Currently, he is a Ph.D. candidate at the Faculty of Electrical and Computer Engineering, Power Engineering Department at the University of Tabriz. His doctoral research continues to explore complex areas such as multi-input multi-output (MIMO) converters and model predictive control (MPC) for electric vehicle and renewable energy applications. The continuity and depth of his education reflect a well-planned academic pathway, reinforced by a strong theoretical and practical understanding of electrical engineering principles. His education has been instrumental in enabling him to conduct high-level research and publish extensively in reputable international journals, making him a valuable contributor to the global scientific community.

Professional Experience

Mohammad Maalandish’s professional experience encompasses a combination of academic, research, and technical roles that enhance his profile as a well-rounded researcher. Since 2014, he has been affiliated with the University of Tabriz in various capacities. He served as a teaching assistant from 2014 to 2016 and again from 2018 to 2024, supporting instruction in power electronics and electrical engineering fundamentals. He also worked as a laboratory assistant at the Power Electronics Laboratory from 2019 to 2024, actively contributing to experimental research and mentoring undergraduate and graduate students. Notably, Mohammad expanded his academic exposure internationally through a research visiting position at Aarhus University in Denmark between March 2022 and August 2023. This experience allowed him to collaborate with European researchers and contribute to international projects. He has also provided consulting services as a senior advisor at VIET Company, demonstrating an ability to bridge academic knowledge with industry applications. Through these roles, he has acquired valuable experience in teaching, research supervision, and applied engineering, which collectively support his academic growth and research productivity.

Research Interest

Mohammad Maalandish’s research interests are deeply rooted in modern power electronics and its applications in renewable energy and electric transportation. His work primarily focuses on the development and optimization of power conversion systems, including DC-DC and DC-AC converters. He is particularly interested in designing high step-up converters with advanced control strategies to enhance efficiency and stability. Another key area of his research is Multi-Input Multi-Output (MIMO) converter architecture, which offers improved flexibility and control for complex energy systems. His investigations also extend to Model Predictive Control (MPC), a robust technique for controlling converters in real-time applications, especially in electric vehicle power systems. Additionally, he explores methods for eliminating leakage current in converter systems to ensure operational safety and efficiency. Renewable energy integration, especially through innovative converter topologies, is another cornerstone of his research. His contributions are aimed at improving power density, minimizing losses, and promoting sustainable energy solutions. By addressing both theoretical and applied aspects, his research is well-positioned to make a meaningful impact on the fields of energy conversion and smart grid technologies.

Research Skills

Mohammad Maalandish possesses a wide array of research and technical skills that equip him to tackle complex problems in electrical and power engineering. He is proficient in simulation and modeling tools such as MATLAB, PSCAD/EMTDC, and PSIM, which are essential for designing and analyzing power electronic systems. His expertise also includes hardware programming and embedded system design using platforms such as Arduino and Code Vision AVR. For circuit design and PCB layout, he is skilled in using Altium Designer. He is capable of conducting both theoretical analysis and experimental validation, having extensive experience in laboratory setups and prototype development. Mohammad’s familiarity with MIMO systems, soft switching techniques, and high step-up converter design demonstrates his capacity to innovate in high-efficiency energy systems. His technical competence is matched by his ability to document and disseminate research through high-impact publications. Furthermore, his experience as a teaching and lab assistant has refined his skills in research mentoring and technical communication. Collectively, his skill set reflects a balanced combination of analytical thinking, hands-on experimentation, and technological fluency essential for advanced research in power electronics.

Awards and Honors

Mohammad Maalandish has received multiple awards and distinctions that reflect his exceptional performance and recognition in the academic and scientific communities. From 2018 to 2021, he was consecutively awarded the Research Prize by the National Elites Foundation of Iran for being a top student. In 2022 and 2023, he was honored as the top student at the University of Tabriz, further underscoring his consistent academic excellence. A particularly prestigious recognition came in the form of the Alborz Prize in 2022, awarded to national top students in Iran. Perhaps most notably, he has been listed among the World’s Top 2% Scientists by Stanford University and Elsevier from 2021 to 2024. This global distinction highlights the impact and citation strength of his scientific work on an international scale. These accolades not only affirm his research capabilities but also demonstrate his dedication to scholarly excellence. They position him as a leader among early-career researchers in the field of electrical and power engineering. These repeated and diverse recognitions are a testament to his sustained contribution and future potential in academia.

Conclusion

In conclusion, Mohammad Maalandish stands out as a highly promising researcher with an exceptional record of academic achievement and scientific contribution. His focused research in power electronics addresses critical global needs in energy conversion and renewable integration. With over 40 publications in top-tier journals and conferences, multiple national and international honors, and hands-on technical expertise, he exemplifies the qualities of a next-generation leader in engineering research. His educational and professional background, combined with international research exposure and active academic involvement, reflect a well-rounded and impactful profile. His ability to bridge theory with practical application, particularly in converter design and electric vehicle systems, places him at the forefront of innovation in the power electronics domain. Recognitions such as the Alborz Prize and his inclusion in the World’s Top 2% Scientists affirm both the quality and impact of his work. With continued emphasis on research leadership, interdisciplinary collaboration, and broader industrial engagement, Mohammad is well-positioned to contribute significantly to both academic and practical advancements in his field. He is a worthy candidate for the Best Researcher Award and an asset to the scientific community.

Publications Top Notes

  • Robust optical-levitation-based metrology of nanoparticle’s position and mass
    Authors: Y. Zheng, L.M. Zhou, Y. Dong, C.W. Qiu, X.D. Chen, G.C. Guo, F.W. Sun
    Journal: Physical Review Letters, 124(22), 223603
    Year: 2020
    Citations: 83

  • Non-Markovianity-assisted high-fidelity Deutsch–Jozsa algorithm in diamond
    Authors: Y. Dong, Y. Zheng, S. Li, C.C. Li, X.D. Chen, G.C. Guo, F.W. Sun
    Journal: npj Quantum Information, 4(1), 3
    Year: 2018
    Citations: 59

  • Coherent dynamics of multi-spin V center in hexagonal boron nitride
    Authors: W. Liu, V. Ivády, Z.P. Li, Y.Z. Yang, S. Yu, Y. Meng, Z.A. Wang, N.J. Guo, F.F. Yan, …
    Journal: Nature Communications, 13(1), 5713
    Year: 2022
    Citations: 55

  • Temperature dependent energy gap shifts of single color center in diamond based on modified Varshni equation
    Authors: C.C. Li, M. Gong, X.D. Chen, S. Li, B.W. Zhao, Y. Dong, G.C. Guo, F.W. Sun
    Journal: Diamond and Related Materials, 74, 119–124
    Year: 2017
    Citations: 53

  • A robust fiber-based quantum thermometer coupled with nitrogen-vacancy centers
    Authors: S.C. Zhang, Y. Dong, B. Du, H.B. Lin, S. Li, W. Zhu, G.Z. Wang, X.D. Chen, …
    Journal: Review of Scientific Instruments, 92(4)
    Year: 2021
    Citations: 44

  • Near-infrared-enhanced charge-state conversion for low-power optical nanoscopy with nitrogen-vacancy centers in diamond
    Authors: X.D. Chen, S. Li, A. Shen, Y. Dong, C.H. Dong, G.C. Guo, F.W. Sun
    Journal: Physical Review Applied, 7(1), 014008
    Year: 2017
    Citations: 35

  • Quantum imaging of the reconfigurable VO₂ synaptic electronics for neuromorphic computing
    Authors: C. Feng, B.W. Li, Y. Dong, X.D. Chen, Y. Zheng, Z.H. Wang, H.B. Lin, W. Jiang, …
    Journal: Science Advances, 9(40), eadg9376
    Year: 2023
    Citations: 28

  • Focusing the electromagnetic field to 10⁻⁶λ for ultra-high enhancement of field-matter interaction
    Authors: X.D. Chen, E.H. Wang, L.K. Shan, C. Feng, Y. Zheng, Y. Dong, G.C. Guo, …
    Journal: Nature Communications, 12(1), 6389
    Year: 2021
    Citations: 28

  • Quantum enhanced radio detection and ranging with solid spins
    Authors: X.D. Chen, E.H. Wang, L.K. Shan, S.C. Zhang, C. Feng, Y. Zheng, Y. Dong, …
    Journal: Nature Communications, 14(1), 1288
    Year: 2023
    Citations: 27

  • Experimental implementation of universal holonomic quantum computation on solid-state spins with optimal control
    Authors: Y. Dong, S.C. Zhang, Y. Zheng, H.B. Lin, L.K. Shan, X.D. Chen, W. Zhu, …
    Journal: Physical Review Applied, 16(2), 024060
    Year: 2021
    Citations: 26

Mohammad Rashtian | Electronics | Best Researcher Award

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Assist Prof Dr. Mohammad Rashtian | Electronics | Best Researcher Award

Faculty member | Civil Aviation Technology College | Iran

Seyed Mohammad Rashtian, an esteemed Assistant Professor at the Civil Aviation Technology College (Faculty of Aviation Electronics), has made significant contributions to the field of electrical engineering. Born in Isfahan, Iran, and the son of Ahmad Rashtian, he has cultivated a career in electronics, specializing in areas such as low-power designs, voltage reference circuits, and amplifiers. He holds a Ph.D. in Electrical Engineering and is known for his academic and research work that spans over two decades.

Profile 👤

Education 🎓

Seyed Mohammad Rashtian’s academic journey began with a strong foundation in Mathematics and Physics from Shahid Adab High School in Isfahan. He earned a Bachelor’s degree in Electrical Engineering – Electronics from KNT University of Technology in 1991, followed by a Master’s degree from the same institution in 1993. He completed his Ph.D. in Electrical Engineering – Electronics from the Islamic Azad University, Science and Research Branch, in 2010, demonstrating excellence throughout his academic career.

Experience 💼

Rashtian has extensive experience in both academic teaching and technical project management. He has been involved in the design, construction, and development of numerous electronic systems such as electromagnetic wave receivers, sine-wave inverters, and DC-DC converters. His technical leadership in the ELF Receiver Network project from 2010 to 2017 showcases his ability to manage complex engineering tasks. Additionally, he has been an influential educator since 1993, teaching various electrical engineering subjects across prominent Iranian universities.

Research Interest 🔬

Rashtian’s research focuses on the design of low-power electronics, voltage references, and high-performance amplifiers. His work in improving operational transconductance amplifiers and noise analysis in switched capacitor circuits is particularly notable. He is dedicated to advancing technologies that enhance the performance of electrical systems with a focus on efficiency and innovation in electronics.

Awards 🏆

Rashtian has been recognized for his contributions to electrical engineering through various academic achievements and research awards. His technical innovations in voltage reference circuits and amplifiers have garnered appreciation from the academic and professional community.

Publications 📚

  • M. Rashtian, O. Hashemipour, K. Navi (2007). “Design of a Low-Pass Switched Capacitor Fourth Order Chebyshev Filter Using an Improved Auto Zero Integrator,” IJECE, Vol. 5, No. 3, pp. 178-183. Cited by 14 articles.
  • M. Rashtian (2020). “Sub 1-V Supply Voltage-Reference Based on Mutual Temperature Cancellation of VT and VTH,” Analog Integrated Circuit and Signal Processing, Vol. 105, pp. 477–482. DOI:10.1007/s10470-020-01704-y.
  • M. Rashtian, M. Shahpasandi (2024). “Low-Power MOSFET-Only Subthreshold Voltage Reference with High PSRR,” AUT Journal of Electrical Engineering, 56(3), pp. 439-452. DOI:10.22060/eej.2024.23046.5583.

Conclusion 🎯

Seyed Mohammad Rashtian is a distinguished scholar and innovator in electrical engineering. His contributions, particularly in low-power designs and voltage reference circuits, continue to shape the academic and industrial landscape. His dedication to teaching, research, and technical development has earned him a respected position in the field, making him a significant figure in advancing electronics technology.

Ammar Armghan | Electronics and Communications | Best Researcher Award

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Assoc Prof Dr. Ammar Armghan | Electronics and Communications | Best Researcher Award

Associate Professor at Jouf University, Saudi Arabia.

Assoc. Prof. Dr. Ammar Armghan is an accomplished academic and researcher specializing in Electronics and Communication Engineering. He holds a Ph.D. in Optical Engineering from Huazhong University of Science and Technology (HUST), completed at the Wuhan National Laboratory for Optoelectronics (WNLO) in 2016. Dr. Armghan also earned an MSc in Electronic Communications and Computer Engineering from the University of Nottingham, UK. With a career spanning over a decade, he has held key positions at prestigious institutions such as Jouf University in Saudi Arabia, where he currently serves as an Associate Professor in the Department of Electrical Engineering. His research focuses on high-performance engineering, metamaterials, and optical communications, with numerous funded projects and publications in renowned journals like IEEE Access and Scientific Reports. Dr. Armghan has been recognized with several accolades, including the Best Teacher Award from Jouf University and the Chinese Government Scholarship for his Ph.D. studies. He is also an active member of the Institute of Engineering Technology (UK) and the Pakistan Engineering Council.

Profile

Education

Assoc. Prof. Dr. Ammar Armghan completed his Ph.D. in Optical Engineering at the Wuhan National Laboratory for Optoelectronics (WNLO) within the Department of Electrical Engineering at Huazhong University of Science and Technology (HUST) from September 2013 to September 2016. He earned his Master of Science (MSc) in Electronic Communications and Computer Engineering from the University of Nottingham, UK, where he achieved a commendable CGPA of 3.4/4.0, graduating in September 2009. During his MSc studies, Dr. Armghan engaged in projects across several key modules, including Hardware Description Language, Instrumentation and Measurement, Optical Communication, Mobile Communication, RF Microelectronics, and Digital Signal Processing. Prior to his master’s degree, he obtained a Bachelor of Science (BSc) in Electrical Engineering from CIIT, Pakistan, with a CGPA of 3.06/4.0, graduating in July 2006. His undergraduate studies covered essential topics such as Control Systems, Signals and Systems, Network Analysis, VLSI, and Communication Systems.

Professional Experience

Assoc. Prof. Dr. Ammar Armghan is currently serving as an Associate Professor in the Department of Electrical Engineering at Jouf University, Saudi Arabia. With over a decade of experience in academia, he has held key positions at Jouf University and previously at HITEC University and the University of Faisalabad, Pakistan. Dr. Armghan has been actively involved in research, accreditation, and quality assurance, contributing to several high-impact research projects and leading accreditation efforts for NCAAA and ABET. His expertise spans electrical engineering, project supervision, and academic leadership.

Research Interest

Assoc. Prof. Dr. Ammar Armghan’s research interests encompass a wide range of topics in electrical engineering, with a focus on advanced metamaterials, optical communications, and wireless networks. His work delves into the design and fabrication of metamaterial devices for energy harvesting and sensing applications, including polarization-insensitive absorbers and high-Q sensors. He is also involved in the development of intelligent control systems, renewable energy solutions, and machine learning applications for long-haul optical communication. Additionally, Dr. Armghan has contributed to research on enhancing the security and performance of IoT networks and improving mobile communication systems using advanced modulation techniques.

Research Skills

Assoc. Prof. Dr. Ammar Armghan possesses a diverse skill set that spans both theoretical knowledge and practical expertise in electronics and communication engineering. He is proficient in various software and tools such as Xilinx ISE, ChipScope, Comsol, Lumerical FDTD, MicroWind, ModelSim, Proteus, and Orcad, which he utilizes for hardware description, simulation, and circuit design. His skills extend to Matlab for advanced computational tasks, including optical communication systems, digital signal processing, and control system design. With a strong foundation in VHDL and FPGA programming, Dr. Armghan has successfully implemented complex designs, such as ADC modeling and low-noise amplifier development. His broad technical capabilities are complemented by his leadership in academic quality assurance, accreditation, and research projects.

Award and Recognition

Dr. Armghan’s excellence in teaching and research has been recognized through various awards, including the Best Teacher Award at the College of Engineering, Jouf University, and an appreciation certificate from the President of Jouf University for his leadership in achieving NCAAA and ABET accreditation. His international scholarships further attest to his academic prowess and commitment to advancing his field.

Conclusion

Dr. Ammar Armghan exemplifies the qualities of a leading researcher through his rigorous academic background, impactful research projects, and dedication to teaching. His extensive contributions to the field of Electronics and Communication Engineering, combined with his recognition in academic and professional circles, position him as an outstanding candidate for the Best Researcher Award.

Publications Top Notes

  • Backstepping Based Non-linear Control for Maximum Power Point Tracking in Photovoltaic System
    • Authors: H Armghan, I Ahmad, A Armghan, S Khan, M Arsalan
    • Journal: Solar Energy
    • Year: 2018
    • Volume and Pages: 159, 134-141
    • Citations: 110
  • A Deep Neural Network and Classical Features Based Scheme for Objects Recognition: An Application for Machine Inspection
    • Authors: A Armaghan, N Hussain, MA Khan, M Sharif, SA Khan, AA Albesher, …
    • Journal: Multimedia Tools and Applications
    • Year: 2020
    • Citations: 92
  • Nonlinear Integral Backstepping Based Control of a DC Microgrid with Renewable Generation and Energy Storage Systems
    • Authors: H Armghan, M Yang, MQ Wang, N Ali, A Armghan
    • Journal: International Journal of Electrical Power & Energy Systems
    • Year: 2019
    • Volume and Pages: 117, 105613
    • Citations: 84
  • 5G Technology in Healthcare and Wearable Devices: A Review
    • Authors: DH Devi, K Duraisamy, A Armghan, M Alsharari, K Aliqab, V Sorathiya, …
    • Journal: Sensors
    • Year: 2023
    • Volume and Issue: 23 (5), 2519
    • Citations: 80
  • Design of Integral Terminal Sliding Mode Controller for the Hybrid AC/DC Microgrids Involving Renewables and Energy Storage Systems
    • Authors: H Armghan, M Yang, A Armghan, N Ali, MQ Wang, I Ahmad
    • Journal: International Journal of Electrical Power & Energy Systems
    • Year: 2020
    • Volume and Pages: 119, 105857
    • Citations: 79
  • Human Action Recognition: A Paradigm of Best Deep Learning Features Selection and Serial Based Extended Fusion
    • Authors: S Khan, MA Khan, M Alhaisoni, U Tariq, HS Yong, A Armghan, F Alenezi
    • Journal: Sensors
    • Year: 2021
    • Citations: 62
  • A Computer-Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification
    • Authors: SK Mehak Arshad, Muhammad Attique Khan*, Usman Tariq, Ammar Armghan, Fayadh …
    • Journal: Computational Intelligence and Neuroscience
    • Year: 2021
    • Citations: 55
  • Wavelet Transform Based Deep Residual Neural Network and ReLU Based Extreme Learning Machine for Skin Lesion Classification
    • Authors: F Alenezi, A Armghan, K Polat
    • Journal: Expert Systems with Applications
    • Year: 2022
    • Volume and Pages: 213, 119064
    • Citations: 54