Muhammad Furqan Zia | Wireless Communication | Best Researcher Award

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Mr. Muhammad Furqan Zia | Wireless Communication | Best Researcher Award

Doctoral Candidate | University of Quebec at Trois-Rivières | Canada

Mr. Muhammad Furqan Zia is a Scientific Researcher currently pursuing a Ph.D. in Electrical Engineering at the University of Quebec at Trois-Rivières (UQTR), Canada, with a focus on Explainable AI-aided Semantic Communication at the Physical and MAC layers. Prior to this, he completed Ph.D. coursework at Koç University, Turkey, and holds an M.S. from Antalya Bilim University, Turkey, and a B.E. from DHA Suffa University, Pakistan. His research spans physical layer design for next-generation Wi-Fi, cognitive radio networks, physical layer security, and semantic communication for intelligent systems. He has worked with leading institutions and industry partners including Vestel Electronics and TÜBİTAK, contributing to both academic and industrial R&D. He has actively participated in IEEE 802.11 standardization meetings as a potential voter. His work has resulted in multiple journal articles, conference papers, and patents, particularly in the areas of secure and reliable communication systems for 6G and IoT. As of now, Mr. Zia has a total of 56 citations, an h-index of 3, and an i10-index of 2 in his works. Furqan has been awarded multiple fully funded scholarships from top global institutions, including UQTR (Canada), Koç University (Turkey), Xi’an Jiaotong University (China), and Kumoh National Institute of Technology (South Korea). His early recognition includes awards in robotics, sports, and academic competitions.

Profile: Google Scholar

1. Zia, M. F., & Hamamreh, J. M. (2020). An advanced non-orthogonal multiple access security technique for future wireless communication networks. RS Open Journal on Innovative Communication Technologies.
Cited by: 24

2. Zia, M. F., Furqan, H. M., & Hamamreh, J. M. (2021). Multi-cell, multi-user, and multi-carrier secure communication using non-orthogonal signals’ superposition with dual-transmission for IoT in 6G and beyond. RS Open Journal on Innovative Communication Technologies, 2(3).
Cited by: 21 (may be approximate as citation counts can vary slightly)

3. Zia, M. F., & Hamamreh, J. M. (2020). An advanced NOMA security technique for future wireless communication. In IEEE 28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM).
Cited by: 7

4. Zia, M. F. (2024). Secrecy and resilience in next-gen Wi-Fi: Exploring a multi-user down-link non-orthogonal transmission framework. In IEEE Intermountain Engineering, Technology and Computing Conference (i-ETC).
Cited by: 3

5. Islam, N., Zia, M. F., & Syed, D. (2023). An overview of security issues in cognitive radio ad hoc networks. In Perspectives and Considerations on the Evolution of Smart Systems (pp. 213–246).
Cited by: 1

Reza Faraji | Electrical Engineering | Best Researcher Award

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Dr. Reza Faraji | Electrical Engineering | Best Researcher Award

PhD Candidate | University of Science and Culture | Iran

Dr. Reza Faraji is a dedicated PhD candidate in Electrical and Computer Engineering at Islamic Azad University (IAU), with a collaborative affiliation with the University of Science and Culture (USC). His primary area of research is nanoelectronics, with a specialization in Quantum-dot Cellular Automata (QCA) and reversible computing. He earned his Master’s degree in QCA design from USC, where his thesis focused on designing low-power, high-performance digital circuits. Reza’s academic foundation is reinforced by research assistant roles and engagement in advanced nano-circuit projects. His ongoing research includes the design of a Multilayer Reversible ALU (RALU) using Fredkin and HN gates optimized for 6G-enabled IoT systems, and device modeling of AlN/β- and ε-Ga₂O₃ Tri-Gate MOSHEMTs using DFT and TCAD simulations for mm-Wave applications on diamond substrates. These projects aim to advance low-power and high-efficiency architectures for next-generation communication and computation systems. He actively collaborates with Dr. Abdalhossein Rezai (USC) on QCA-based circuit design and with Dr. Amir Amini (IAU, West Tehran Branch) on nanoscale device modeling. Although he has no patents or books published yet, his work shows promise for industrial applications in IoT and semiconductor sectors. Currently, Reza has 5 published documents, 18 citations and an h-index of 3, reflecting the growing impact of his research in the scientific community. His key areas of expertise include QCA, reversible logic, ALU design, nanoscale HEMTs, and energy-efficient digital architectures for 6G and future nanoelectronic systems.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Faraji-Dana, R., & Chow, Y. L. (2002). The current distribution and AC resistance of a microstrip structure. IEEE Transactions on Microwave Theory and Techniques, 38(9), 1268–1277. 
Cited by: 149

2. Mehdipour, A., Mohammadpour-Aghdam, K., & Faraji-Dana, R. (2007). Complete dispersion analysis of Vivaldi antenna for ultra wideband applications. Progress In Electromagnetics Research, 77, 85–96. 
Cited by: 134

3. Hosseininejad, S. E., Rouhi, K., Neshat, M., Faraji-Dana, R., & Abdolali, A. (2019). Reprogrammable graphene-based metasurface mirror with adaptive focal point for THz imaging. Scientific Reports, 9(1), 2868. 
Cited by: 107

4. Abbas-Azimi, M., Arazm, F., Rashed-Mohassel, J., & Faraji-Dana, R. (2007). Design and optimization of a new 1–18 GHz double ridged guide horn antenna. Journal of Electromagnetic Waves and Applications, 21(4), 501–516. 
Cited by: 76

5. Faraji-Dana, R., & Chow, Y. (1990). Edge condition of the field and AC resistance of a rectangular strip conductor. IEE Proceedings H – Microwaves, Antennas and Propagation, 137(2), 133–140. 
Cited by: 71

Choong-Ki Chung | Solid mechanics | Best Researcher Award

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Prof. Choong-Ki Chung | Solid mechanics | Best Researcher Award

Professor | Seoul National University | South Korea 

Prof. Choong-Ki Chung is a distinguished academic in the field of Geotechnical Engineering and currently serves as a Professor in the Department of Civil and Environmental Engineering at Seoul National University. He earned his Ph.D. in Geotechnical Engineering from Northwestern University in 1991, following an M.S. and B.S. in Civil Engineering from Seoul National University. His research focuses on site investigation, geo-information systems, geo-hazards, and soil deformation. With an academic career spanning over three decades, Professor Chung has held various key positions including Head of Department, Director of the Engineering Research Institute, and Associate Dean for Research Affairs at Seoul National University. He has also played leading roles in professional societies, serving as Vice President (2012–2016) and President (2019–2021, 2024) of the Korean Society of Civil Engineers, and Vice President of the Korean Geotechnical Society. His international experience includes postdoctoral and visiting professorships at Northwestern University. A prolific researcher, Professor Chung has authored 72 international journal papers, 105 domestic journal papers, and 100 international conference papers. His work has been cited 1,283 times, with a total of 112 publications contributing to an h-index of 20, reflecting his impactful contributions to the geotechnical engineering community.

1.  Kim, K. N., Lee, S. H., Kim, K. S., Chung, C. K., Kim, M. M., & Lee, H. S. (2001). Optimal pile arrangement for minimizing differential settlements in piled raft foundations. Computers and Geotechnics, 28(4), 235–253.
Cited by: 153

2. Sun, C. G., Kim, D. S., & Chung, C. K. (2005). Geologic site conditions and site coefficients for estimating earthquake ground motions in the inland areas of Korea. Engineering Geology, 81(4), 446–469.
Cited by: 133

3. Lee, S. H., & Chung, C. K. (2005). An experimental study of the interaction of vertically loaded pile groups in sand. Canadian Geotechnical Journal, 42(5), 1485–1493.
Cited by: 110

4. Hwang, J. I., Kim, C. Y., Chung, C. K., & Kim, M. M. (2006). Viscous fluid characteristics of liquefied soils and behavior of piles subjected to flow of liquefied soils. Soil Dynamics and Earthquake Engineering, 26(2–4), 313–323.
Cited by: 93

5. Finno, R. J., & Chung, C. K. (1992). Stress-strain-strength responses of compressible Chicago glacial clays. Journal of Geotechnical Engineering, 118(10), 1607–1625.
Cited by: 92

Ali Yahia Cherif | Electrical Engineering | Best Researcher Award

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Mr. Ali Yahia Cherif | Electrical Engineering | Best Researcher Award

Phd Student | Oum Elbouaghi University | Algeria

Ali Yahia-Cherif is a seasoned Algerian electrical and automation engineer born in 1991, with extensive expertise in predictive control systems, renewable energy, and electronic system diagnostics. He holds a Master’s in Industrial Automation and a Bachelor’s in Automatic Control from the University of Mentouri Constantine, and has been pursuing a Ph.D. in Electrical and Automatic Engineering since 2014 at the University of Larbi Ben M’hidi, focusing on the development of experimental platforms for shunt active filter systems. His professional experience spans over a decade, including roles as a principal engineer and project manager in high and low-current installations—covering solar energy systems, surveillance, access control, and fire safety networks. He also worked as an engineer in security systems and has teaching experience in programming and electrical engineering at the university level. His leadership in the F.E.A.T scientific electronics club demonstrates his early commitment to innovation. Ali has authored over 12 scientific publications in reputable journals such as IET Renewable Power Generation, International Journal of Circuit Theory and Applications, and European Journal of Electrical Engineering, addressing advanced topics in predictive control, hybrid energy storage, and photovoltaic systems. He has presented his work at key international conferences including GPECOM, IREC, and ICEEAC.

Profile: Google Scholar 

Featured Publications

1. Meddour, S., Rahem, D., Yahia Cherif, A., Hachelfi, W., & Hichem, L. (2019). A novel approach for PV system based on metaheuristic algorithm connected to the grid using FS-MPC controller. Energy Procedia, 162, 57–66. 
Cited by: 32

2. Remache, S. E. I., Yahia Cherif, A., & Barra, K. (2019). Optimal cascaded predictive control for photovoltaic systems: Application based on predictive emulator. IET Renewable Power Generation, 13(15), 2740–2751. 
Cited by: 29

3. Yahia Cherif, A., Remache, S. E. I., Barra, K., & Wira, P. (2019). Adaptive model predictive control for three phase voltage source inverter using ADALINE estimator. In 2019 1st Global Power, Energy and Communication Conference (GPECOM) (pp. 164–169). IEEE. 
Cited by: 7

4. Yahia Cherif, A., Hicham, L., & Kamel, B. (2018). Implementation of finite set model predictive current control for shunt active filter. In 2018 9th International Renewable Energy Congress (IREC) (pp. 1–6). IEEE. 
Cited by: 6

5. Meddour, S., Rahem, D., Wira, P., Laib, H., Yahia Cherif, A., & Chtouki, I. (2022). Design and implementation of an improved metaheuristic algorithm for maximum power point tracking algorithm based on a PV emulator and a double-stage grid-connected system. European Journal of Electrical Engineering, 24(3), 423–430.
Cited by: 5

Minoru Sasaki | Artificial Intelligence | Best Researcher Award

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Prof. Dr. Minoru Sasaki | Artificial Intelligence | Best Researcher Award

Organizing Committee | Gifu University | Japan

Prof. Dr. Minoru Sasaki, a distinguished Emeritus Professor at Gifu University, has made significant contributions to the fields of mechanical engineering, control systems, and mechatronics throughout his academic and professional career. With a Ph.D. in Mechanical Engineering from Tohoku University (1985), he has held various academic positions in Japan and internationally, including visiting professorships at UCLA, Georgia Institute of Technology, and King Mongkut’s University of Technology Thonburi. He has also served in numerous leadership roles at Gifu University, such as Department Chair, Assistant President, and Director of the Career Center. His professional affiliations include IEEE Life Senior Member, ASME, JSME, SICE (Fellow), RSJ, JSASS, and others. He has actively contributed to global academic and research communities through editorial roles in prestigious journals and program committees of international conferences. His involvement extends to advisory roles and leadership positions within key engineering societies in Japan and abroad. A prolific researcher, Dr. Sasaki has authored 202 publications, which have been cited by 966, reflecting a strong academic impact with an h-index of 14. These metrics highlight the depth and relevance of his research in intelligent mechanical systems and applied electromagnetics.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Taheri, S. M., Matsushita, K., & Sasaki, M. (2017). Virtual reality driving simulation for measuring driver behavior and characteristics. Journal of Transportation Technologies, 7(02), 123.
Cited by 84.

2. Takayama, K., & Sasaki, M. (1983). Effects of radius of curvature and initial angle on the shock transition over concave and convex walls. Report of the Institute of High Speed Mechanics, 46, 1–30.
Cited by 66.

3. Yoshida, T., Sasaki, M., Ikeda, K., Mochizuki, M., Nogami, Y., & Inokuchi, K. (2002). Prediction of coal liquefaction reactivity by solid state 13C NMR spectral data. Fuel, 81(11-12), 1533–1539.
Cited by 64.

4. Endo, T., Sasaki, M., Matsuno, F., & Jia, Y. (2016). Contact-force control of a flexible Timoshenko arm in rigid/soft environment. IEEE Transactions on Automatic Control, 62(5), 2546–2553.
Cited by 61.

5. Takeda, K., Sasaki, M., Kieda, N., Katayama, K., Kako, T., Hashimoto, K., … (2001). Preparation of transparent super-hydrophobic polymer film with brightness enhancement property. Journal of Materials Science Letters, 20(23), 2131–2133.
Cited by 56.

Mansoureh Azadeh | Bioinformatics | Women Researcher Award

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Dr. Mansoureh Azadeh | Bioinformatics | Women Researcher Award

Lab Manager | Zist Fanavari Novin Biotechnology Institute | Iran

Dr. Mansoureh Azadeh is a distinguished molecular and cellular biologist and the Founder and Director of Zist Fanavari Novin Biotechnology Institute in Isfahan, Iran. With over two decades of leadership in academia, research, and biotechnology entrepreneurship, she has significantly advanced cancer genomics, gene expression analysis, and personalized medicine. Her research spans diverse areas including breast cancer, cardiovascular disease, multiple sclerosis, drug resistance, and athletic genomics. In 2023, she founded PreventiGene, a genetics startup focused on early cancer detection. Dr. Azadeh has served as Chair of the Board at Control Tavan Novin Pouya since 2006, and has also managed the COVID-19 department at Jey Medical Diagnosis Laboratory. An active educator, she has taught for 20 semesters at Azad University and leads national technical training programs in biotechnology. She has authored books on laboratory methods and cancer diagnostics, serves as an editor for medical journals, and regularly collaborates with academic and industry partners to promote scientific innovation. She is widely recognized for her expertise in advanced technologies such as CRISPR, RNA sequencing, and high-throughput data analysis, and has developed and supervised numerous genetic research initiatives. Her technical skills span PCR/qPCR, ELISA, Western blotting, microbiology, and cell culture. As of October 2025, Dr. Azadeh has authored 34 indexed publications, with 313 citations, and holds an h-index of 13 , reflecting her impactful contribution to life sciences and translational research.

Profiles: Scopus | Google Scholar | LinkedIn | ResearchGate

Featured Publications

1. Bagheri, F., Mesrian Tanha, H., Mojtabavi Naeini, M., Ghaedi, K., & Azadeh, M. (2016). Tumor-promoting function of single nucleotide polymorphism rs1836724 (C3388T) alters multiple potential legitimate microRNA binding sites at the 3′-untranslated region of ErbB4. Molecular Medicine Reports, 13(5), 4494–4498. 
Cited by: 39

2. Ebrahimi Ghahnavieh, L., Tabatabaeian, H., Ebrahimi Ghahnavieh, Z., & others. (2020). Fluctuating expression of miR-584 in primary and high-grade gastric cancer. BMC Cancer, 20, 621. 
Cited by: 31

3. Noormohammad, M., Sadeghi, S., Tabatabaeian, H., Ghaedi, K., Talebi, A., & others. (2016). Upregulation of miR-222 in both Helicobacter pylori-infected and noninfected gastric cancer patients. Journal of Genetics, 95(4), 991–995. 
Cited by: 29

4. Fattahi Dolatabadi, N., Dehghani, A., Shahand, E., Yazdanshenas, M., & others. (2020). The interaction between MALAT1 target, miR-143-3p, and RALGAPA2 is affected by functional SNP rs3827693 in breast cancer. Human Cell, 33(4), 1229–1239.
Cited by: 28

5. Adami, B., Tabatabaeian, H., Ghaedi, K., Talebi, A., Azadeh, M., & Dehdashtian, E. (2019). miR-146a is deregulated in gastric cancer. Journal of Cancer Research and Therapeutics, 15(1), 108–114.
Cited by: 28

Feng Gao | Technology in Education | Best Researcher Award

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Ms. Feng Gao | Technology in Education | Best Researcher Award

Feng Gao | Henan Institute of Science and Technology | China

Ms. Feng Gao, an accomplished scholar in English language education and applied linguistics, serves as a faculty member at the College of Foreign Languages, Henan Institute of Science and Technology, China. She earned her Bachelor’s degree in English from Henan Normal University, followed by a Master’s degree in Applied Linguistics from South China Normal University, where she specialized in language education and pedagogy. With early professional experience in educational roles in Xinxiang and subsequent academic positions, she has developed a strong profile in both teaching and research. Gao has actively contributed to several institutional initiatives, including curriculum development and collaborative projects aimed at advancing English as a Foreign Language (EFL) pedagogy. Her primary research interests lie in English teaching, applied linguistics, learner psychology, and the role of positive emotions in academic performance, with notable publications such as Academic Buoyancy and Achievement among EFL Learners: The Mediating Roles of Hope and Enjoyment in Acta Psychologica. In addition to publishing six research papers and co-authoring four professional volumes, she has played a key role in integrating psychological constructs such as academic buoyancy, hope, and enjoyment into EFL contexts, providing valuable insights into language learning motivation and resilience. Her scholarly contributions continue to bridge the gap between linguistic theory and classroom practice, positioning her as a promising researcher dedicated to the advancement of EFL education. 0 Citations, 1 Documents, 0 h-index.

Profile: Scopus 

Featured Publication

1. Gao F.*, Academic buoyancy and achievement among EFL learners: The mediating roles of hope and enjoyment. Acta Psychologica, 2025.

Ali Yahia Cherif | Electrical Engineering | Best Researcher Award

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Mr. Ali Yahia Cherif | Electrical Engineering | Best Researcher Award

Ali Yahia Cherif | Oum El Bouaghi University | Algeria

Dr. Ali Yahia-Cherif is a Principal Engineer and accomplished researcher in Electrical and Automatic Engineering at the University of Larbi Ben M’hidi, specializing in predictive control, renewable energy systems, and power electronics. He holds a Doctoral candidacy in Electrical and Automatic Engineering, a Master’s degree in Industrial Automation and Human Systems, and a Licence in Automatic Systems from the University of Mentouri Constantine, building a strong academic foundation in advanced control and automation. His professional career encompasses roles as project manager for solar energy, fire prevention, and security system networks, engineer of study and repair in electronic and security systems, university lecturer in programming and applied electrical sciences, and founder of the F.E.A.T. scientific electronics club. Dr. Yahia-Cherif’s research contributions focus on model predictive control, photovoltaic systems, and metaheuristic algorithms, with impactful publications in prestigious journals and international conferences such as Energy Procedia, IET Renewable Power Generation, and the European Journal of Electrical Engineering. His works include novel approaches to PV system optimization, cascaded predictive control, adaptive model predictive strategies, and matrix converter algorithms for wind energy systems. In addition to his academic output, he has demonstrated leadership in multidisciplinary projects, successfully integrating theory and practice in renewable energy applications, electronic system diagnostics, and predictive control innovations. He has also served as a reviewer for international journals and conferences, underscoring his recognition within the academic community. Through his diverse professional activities and scholarly achievements, Dr. Yahia-Cherif exemplifies excellence in advancing research and engineering practice in renewable energy and automatic control. 55 Citations, 9 Documents, 4 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Meddour S., Rahem D., Yahia-Cherif A., Hachelfi W., Hichem L., A novel approach for PV system based on metaheuristic algorithm connected to the grid using FS-MPC controller. Energy Procedia, 2019, 162: 57–66. (32 citations)

Remache S.E.I., Yahia-Cherif A., Barra K., Optimal cascaded predictive control for photovoltaic systems: application based on predictive emulator. IET Renewable Power Generation, 2019, 13(15): 2740–2751. (29 citations)

Yahia-Cherif A., Remache S.E.I., Barra K., Wira P., Adaptive model predictive control for three-phase voltage source inverter using ADALINE estimator. Proc. 1st Global Power, Energy and Communication Conference (GPECOM), 2019: 164–169. (7 citations)

Yahia-Cherif A., Hicham L., Kamel B., Implementation of finite set model predictive current control for shunt active filter. Proc. 9th Int. Renewable Energy Congress (IREC), 2018: 1–6. (6 citations)

Meddour S., Rahem D., Wira P., Laib H., Yahia-Cherif A., Chtouki I., Design and implementation of an improved metaheuristic algorithm for maximum power point tracking based on a PV emulator and a double-stage grid-connected system. Eur. J. Electrical Engineering, 2022. (5 citations)

Minoru Sasaki | Artificial Intelligence of Robotics | Best Researcher Award

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Prof. Dr. Minoru Sasaki | Artificial Intelligence of Robotics | Best Researcher Award

Professor | Gifu University | Japan

Dr. Minoru Sasaki is a Senior Professor at the Center for Collaborative Study with Community, Tokai National Higher Education and Research System, Gifu University, and an internationally recognized expert in mechanical engineering, robotics, and intelligent control systems. He holds B.S., M.S., and Ph.D. degrees in Mechanical Engineering from Yamagata University and Tohoku University. Over his distinguished career, he has served in various academic and leadership roles, including Research Associate, Assistant and Associate Professor, Department Chair, Director of Career Center, Assistant President, and Course Chair, and he has held multiple visiting professorships at institutions such as UCLA, Georgia Institute of Technology, and Dedan Kimathi University of Technology. His research focuses on robotics, flexible manipulators, neural network control, self-sensing actuators, magnetic levitation systems, and mechatronics applications, contributing over 200 peer-reviewed publications and pioneering work in passivity-based control and intelligent systems. Professor Sasaki has chaired major international conferences, served as Editor and Associate Editor for leading journals including the Journal of Electrical Engineering and Technology and the Mechanical Engineering Journal, and contributed as a program committee and board member for global engineering societies. He is a Fellow of SICE, a Life Senior Member of IEEE, and an active member of ASME, JSME, RSJ, and JSASS. His honors include the Best Technical Contribution Award from the Japan Society of Applied Electromagnetics and Mechanics and multiple best paper awards at international conferences. With a proven record of research excellence, mentorship, and global collaboration, he continues to advance the fields of mechatronics, robotics, and intelligent systems integration. 959 citations, 201 documents, 14 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Taheri S.M., Matsushita K., Sasaki M.* Virtual reality driving simulation for measuring driver behavior and characteristics. J. Transp. Technol., 2017, 7(02):123. (Cited by 83)

2. Takayama K., Sasaki M.* Effects of radius of curvature and initial angle on the shock transition over concave and convex walls. Rep. Inst. High Speed Mech., 1983, 46:1–30. (Cited by 66)

3. Yoshida T., Sasaki M.*, Ikeda K., Mochizuki M., Nogami Y., Inokuchi K. Prediction of coal liquefaction reactivity by solid state 13C NMR spectral data. Fuel, 2002, 81(11-12):1533–1539. (Cited by 64)

4. Endo T., Sasaki M.*, Matsuno F., Jia Y. Contact-force control of a flexible Timoshenko arm in rigid/soft environment. IEEE Trans. Autom. Control, 2016, 62(5):2546–2553. (Cited by 61)

5. Takeda K., Sasaki M.*, Kieda N., Katayama K., Kako T., Hashimoto K., et al. Preparation of transparent super-hydrophobic polymer film with brightness enhancement property. J. Mater. Sci. Lett., 2001, 20(23):2131–2133. (Cited by 56)

Reza Faraji | Electrical Engineering | Best Researcher Award

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Dr. Reza Faraji | Electrical Engineering | Best Researcher Award

Reza Faraji | University of Science and Culture | Iran

Dr. Reza Faraji is a Ph.D. candidate in Electrical and Computer Engineering at Islamic Azad University, with additional academic affiliation at the University of Science and Culture, specializing in nanoelectronics and Quantum-dot Cellular Automata (QCA). He holds a Master’s degree in QCA Design, where his work centered on low-power, high-performance digital circuits. His professional experience spans research assistance and participation in industry-oriented projects, with a focus on energy-efficient architectures for future 6G-enabled IoT systems and semiconductor devices. Faraji’s research expertise encompasses nanoscale circuit design, reversible computing, QCA-based arithmetic logic unit (ALU) and full-adder design, and nanoscale device modeling, including HEMTs and MOSHEMTs. He has published influential work such as the development of a novel reversible multilayer full adder in QCA technology, a compact multilayer ALU achieving ultra-low power dissipation, and a multilayer reversible ALU (RALU) integrating Fredkin and HN gates for optimized area and power efficiency. He has also contributed to advanced modeling of AlN/β- and ε-Ga₂O₃ tri-gate MOSHEMTs for high-power and RF applications, providing theoretical insight into next-generation device performance. His contributions have been cited in multiple international journals, earning recognition for advancing low-power nanoelectronics bridging QCA computing and semiconductor technologies, making him a strong candidate for prestigious technology awards. He has 18 citations, 5 publications with an h-index of 3.

Profile: Scopus

Featured Publications

1. Faraji R., A novel reversible multilayer full adder circuit design in QCA technology. Facta Univ. Ser. Electron. Energ., 2024, 37(3), 437–453.

2. Faraji R., Design of a multilayer reversible ALU in QCA technology. J. Supercomput., 2024, 80(12), 17135–17158.

3. Khodabakhsh A.*, Faraji R., Tandem evaluation of AlN/β- and ε-Ga₂O₃ tri-gate MOSHEMTs. IEEE Trans. Electron Devices, 2025, 72(7), 3452–3460.