Seyed Abolfazl Hosseini | Communication Systems | Best Researcher Award

Dr. Seyed Abolfazl Hosseini | Communication Systems | Best Researcher Award

Faculty member | Islamic Azad University | Iran

Dr. Seyed Abolfazl Hosseini is a distinguished faculty member in the Department of Electrical Engineering at Islamic Azad University, Tehran, Iran, specializing in Communication Systems Engineering and Computer Science. He holds a Ph.D. and M.Sc. in Electrical Engineering (Communications Systems Engineering) from Tarbiat Modares University and K.N. Toosi University of Technology, respectively, and a B.Sc. in Control Engineering from Sharif University of Technology. Over his academic career, Dr. Hosseini has served in several leadership capacities, including Dean of the Electrical and Electronics Research Centre, Dean of the Engineering Faculty, and Director of the Department of Communications Engineering. His professional experience extends beyond academia, having served as CEO of Pars Kelend Co., where he managed projects in electronic surveillance, IoT, AI, and network services, and as an expert engineer at the Tehran Traffic Control Company, where he developed remote toll systems and air quality detection methods using image processing. His research primarily focuses on hyperspectral image analysis, digital signal and image processing, machine learning, cryptography, and MIMO communication systems. Dr. Hosseini has authored numerous high-impact publications in leading journals such as IEEE Access, Earth Science Informatics, and Remote Sensing Letters, contributing novel methods in feature reduction, watermarking, and energy-efficient communications. His technical expertise spans rational function approximation, fractal theory, and advanced machine learning algorithms applied to remote sensing and data compression. A dedicated educator and mentor, he has supervised many M.Sc. and Ph.D. candidates and actively participated in developing technical standards and research-driven industrial collaborations. Through his integrated contributions to academia, research, and technology innovation, Dr. Hosseini continues to advance modern communication and computational systems.11 Citations, 3 Documents, 2 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Hosseini, S. A.*, & Ghassemian, H. (2016). Rational function approximation for feature reduction in hyperspectral data. Remote Sensing Letters, 7(2), 101–110. Citations: 42.

2. Hosseini, S. A.*, & Ghassemian, H. (2015). Hyperspectral data feature extraction using rational function curve fitting. International Journal of Pattern Recognition and Artificial Intelligence. Citations: 23.

3. Hosseini, S. A.*, & Ghassemian, H. (2013). A new hyperspectral image classification approach using fractal dimension of spectral response curve. Proceedings of the Iranian Conference on Electrical Engineering (ICEE). Citations: 17.

4. Hosseini, A., & Ghassemian, H. (2012). Classification of hyperspectral and multispectral images by using fractal dimension of spectral response curve. 20th Iranian Conference on Electrical Engineering (ICEE), 1452–1457. Citations: 19.

5. Beitollahi, M., & Hosseini, S. A.* (2018). Using Savitsky–Golay smoothing filter in hyperspectral data compression by curve fitting. Proceedings of the Iranian Conference on Electrical Engineering (ICEE). Citations: 15.

Milad Samady Shadlu | Signal Processing | Best Researcher Award

Dr. Milad Samady Shadlu | Signal Processing | Best Researcher Award

Senior Researcher | Islamic Azad University | Iran

Dr. Milad Samady Shadlu is a distinguished lecturer at the University of Applied Science and Technology of Iran, specializing in Power Electronics, Renewable Energy Systems, and Control Engineering. He holds a Ph.D. in Electrical Engineering with a focus on Power Systems and Converters. Dr. Shadlu’s expertise spans the design, modeling, and control of high-power converters and inverters, multilevel converter systems, renewable energy integration, and maximum power point tracking (MPPT) methods for photovoltaic applications. With a strong academic foundation in control strategies and optimization methods, he has led and collaborated on numerous research projects focused on enhancing power system stability, harmonic mitigation, and fault diagnosis in renewable and grid-connected systems. Dr. Shadlu’s research portfolio comprises over twenty-four publications in reputed journals and international conferences, including notable works on MPPT algorithms, model predictive control, and fault analysis in modular multilevel converters and HVDC systems. He has authored and translated several books in the fields of energy storage, converter technology, and solar power generation, reflecting his commitment to academic knowledge dissemination. As an educator, he has taught a wide range of courses in electrical and control engineering and was honored as the Best Lecturer by the University of Applied Science and Technology of North Khorasan. His recognitions include the Best Researcher Award from the Young Researchers and Elite Club of North Khorasan Province. Dr. Shadlu’s current research focuses on fault detection in modular multilevel converters, hybrid control strategies combining extremum seeking and model predictive control methods for PV systems, and advanced control mechanisms for microgrids and active filters. With a robust record of scholarly output, including highly cited works on power converter control and renewable energy applications, Dr. Milad Samady Shadlu stands as an influential figure in modern power electronics research. 133 Citations, 24 Documents, 6 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Fatemi, S. M., Shadlu, M. S.*, & Talebkhah, A. (2019). Comparison of three-point P&O and hill climbing methods for maximum power point tracking in PV systems. Proceedings of the 10th International Power Electronics, Drive Systems and Technologies Conference (PEDSTC), IEEE. Citations: 33.

2. Shadlu, M. S.* (2019). Comparison of maximum power point tracking (MPPT) algorithms to control DC-DC converters in photovoltaic systems. Recent Advances in Electrical & Electronic Engineering, 12(4), 355–368. Citations: 19.

3. Shadlu, M. S.* (2018). A comparative study between two MPPT algorithms for photovoltaic energy conversion system based on modular multilevel converter. Proceedings of the Iranian Conference on Electrical Engineering (ICEE), IEEE. Citations: 16.

4. Talebkhah, A., Shadlu, M. S.*, & Fatemi, S. M. (2019). Control strategy of a single-phase active power filter with adjustable DC link capacitor voltage for THD reduction in non-linear loads. Proceedings of the 10th International Power Electronics, Drive Systems and Technologies Conference (PEDSTC), IEEE. Citations: 14.

5. Shadlu, M. S.* (2017). Fault detection and diagnosis in voltage source inverters using principal component analysis. Proceedings of the 4th IEEE International Conference on Knowledge-Based Engineering and Innovation (KBEI). Citations: 14.

Sabre Kais | Information Theory | Best Researcher Award

Prof. Dr. Sabre Kais | Information Theory | Best Researcher Award

Goodnight Distinguished Chair in Quantum Computing at North Carolina State University, United States

Prof. Dr. Sabre Kais is a distinguished scholar in quantum information science, theoretical chemistry, and quantum computing. He serves as a Professor of Chemistry at Purdue University and leads the Quantum Information Science Group. 🧪🔬 His pioneering research focuses on quantum phase transitions, entanglement, and applying quantum algorithms to solve complex chemical problems. With over 250 peer-reviewed publications and multiple prestigious awards, including fellowships from the American Physical Society and the American Association for the Advancement of Science, he has significantly advanced interdisciplinary science. 📚🌐 As a dedicated educator and mentor, Prof. Kais continues to shape future leaders in quantum technologies while spearheading collaborations across physics, chemistry, and computer science. His visionary work drives innovation at the intersection of theory and application in emerging quantum fields. 💡⚛️

Professional Profile

Education 🎓📘

Prof. Dr. Sabre Kais earned his Ph.D. in Chemical Physics from the University of California, Berkeley, where he laid the foundation for his career in theoretical and quantum chemistry. Prior to that, he completed his undergraduate studies in Chemistry with honors, showcasing early aptitude in mathematics and physics. His academic training was deeply rooted in interdisciplinary approaches, enabling him to bridge concepts from chemistry, physics, and computer science. This educational background equipped him with a unique ability to investigate complex quantum systems and foster innovative solutions in quantum computation and information theory. 📚💡 His deep commitment to education continues through curriculum development and mentoring, nurturing future leaders in quantum science and technology.

Professional Experience 🧪👨‍🏫

Prof. Kais is a full professor at Purdue University, where he leads the Quantum Information Science Group. He has held visiting positions and collaborative appointments at premier research institutions worldwide. 🏛️🌍 His career spans over three decades of teaching, supervising graduate students, and conducting frontier research. At Purdue, he is also affiliated with the Department of Physics and the Department of Computer Science, reflecting his truly interdisciplinary approach. He has served on editorial boards, national review panels, and has contributed to shaping quantum education policy. His professional journey is marked by leadership in large-scale collaborative research projects, including NSF and DOE-funded initiatives that focus on quantum algorithms and simulations. 🧠🖥️ His rich experience reflects a commitment to advancing both academia and cutting-edge quantum technology.

Research Interests ⚛️🔬

Prof. Kais’s research spans quantum computing, quantum information, theoretical chemistry, and many-body systems. His work focuses on quantum phase transitions, quantum entanglement, and the application of quantum algorithms to chemical problems. 🧬🧠 He is particularly interested in solving classically intractable problems using quantum resources, including simulating molecular structures, reaction dynamics, and quantum control mechanisms. He also explores quantum machine learning and quantum chaos, positioning himself at the frontier of quantum science. 🔍🧑‍🔬 Prof. Kais integrates advanced mathematical techniques with physical insights, enabling breakthroughs in quantum simulations. His research bridges theory and practical quantum computation, aiming to influence next-generation quantum technologies and real-world applications in chemistry, materials science, and drug discovery.

Awards and Honors 🏅🎖️

Prof. Kais has received numerous prestigious awards recognizing his excellence in research and scientific contributions. He is a Fellow of the American Physical Society (APS) and the American Association for the Advancement of Science (AAAS), honors bestowed on scientists with exceptional achievements. 🌟🔬 His accolades include the Purdue University Research Excellence Award, NSF CAREER Award, and multiple keynote speaker invitations at top international conferences. His distinguished record of publication and leadership in quantum research has earned him recognition as a global thought leader in quantum chemistry and computing. 📜🌍 These honors reflect both the depth of his scientific impact and his dedication to advancing interdisciplinary research at the intersection of chemistry, physics, and quantum information science.

Research Skills 💻

Prof. Kais possesses a comprehensive set of research skills, including quantum algorithm design, numerical simulations, mathematical modeling, and quantum theory development. He is proficient in quantum programming frameworks and high-performance computing, applying them to model atomic and molecular systems. 🧠🧮 His interdisciplinary capabilities enable him to tackle problems across chemistry, physics, and computer science. He demonstrates expertise in quantum entanglement analysis, phase transition modeling, and information-theoretic approaches to molecular dynamics. 🧪🧾 His strong analytical skills, combined with an ability to integrate theory with computation, make him a leader in quantum information science. He continually evolves his technical toolbox to adapt to new challenges and collaborates across domains to foster innovation.

Publications Top Notes

  • Title: Revealing the role of organic cations in hybrid halide perovskite CH3NH3PbI3
    Authors: C. Motta; F. El-Mellouhi; S. Kais; N. Tabet; F. Alharbi; S. Sanvito
    Year: 2015
    Citations: 740
    Source: Nature Communications

  • Title: Qudits and high-dimensional quantum computing
    Authors: Y. Wang; Z. Hu; B.C. Sanders; S. Kais
    Year: 2020
    Citations: 521
    Source: Frontiers in Physics

  • Title: Reduced-density-matrix mechanics
    Authors: A.J. Coleman
    Year: 2007
    Citations: 392
    Source: Book

  • Title: Manipulation of molecules with electromagnetic fields
    Authors: M. Lemeshko; R.V. Krems; J.M. Doyle; S. Kais
    Year: 2013
    Citations: 353
    Source: Molecular Physics

  • Title: Theoretical limits of photovoltaics efficiency
    Authors: F.H. Alharbi; S. Kais
    Year: 2015
    Citations: 290
    Source: Renewable and Sustainable Energy Reviews

  • Title: Quantum algorithm and circuit design solving the Poisson equation
    Authors: Y. Cao; A. Papageorgiou; I. Petras; J. Traub; S. Kais
    Year: 2013
    Citations: 249
    Source: New Journal of Physics

  • Title: Quantum annealing for prime factorization
    Authors: S. Jiang; K.A. Britt; A.J. McCaskey; T.S. Humble; S. Kais
    Year: 2018
    Citations: 243
    Source: Scientific Reports

  • Title: Quantum machine learning for electronic structure calculations
    Authors: R. Xia; S. Kais
    Year: 2018
    Citations: 204
    Source: Nature Communications

  • Title: Application of quantum-inspired tensor networks to optimize federated learning systems
    Authors: A.S. Bhatia, Amandeep Singh; M.K. Saggi, Mandeep Kaur; S. Kais, Sabre
    Year: 2025
    Source: Quantum Machine Intelligence

  • Title: Open-quantum-system simulation through exploiting noise on quantum computers
    Authors: S. Kais, Sabre; D.A. Mazziotti, David A.
    Year: 2025
    Source: Physical Review A

  • Title: Entropy-Assisted Quality Pattern Identification in Finance
    Authors: R. Gupta, Rishabh; S. Gupta, Shivam; J. Singh, Jaskirat; S. Kais, Sabre
    Year: 2025
    Source: Entropy

  • Title: Quantum Algorithms and Applications for Open Quantum Systems
    Authors: L.H. Delgado-Granados, Luis H.; T.J. Krogmeier, Timothy J.; L.A.M. Sager-Smith, Lee Ann M.; K. Head-Marsden, Kade; D.A. Mazziotti, David A.
    Year: 2025
    Citations: 2
    Source: Review Article

  • Title: Refined phase diagram for a spin-1 system exhibiting a Haldane phase
    Authors: M. Mousa, Mohamad; B. Wehefritz-Kaufmann, Birgit; S. Kais, Sabre; S.X. Cui, Shawn Xingshan; R.M. Kaufmann, Ralph M.
    Year: 2025
    Source: Physical Review B

  • Title: Designing Variational Ansatz for Quantum-Enabled Simulation of Non-Unitary Dynamical Evolution – An Excursion into Dicke Superradiance
    Authors: S. Shivpuje, Saurabh; M. Sajjan, Manas; Y. Wang, Yuchen; Z. Hu, Zixuan; S. Kais, Sabre
    Year: 2025
    Citations: 1
    Source: Advanced Quantum Technologies

  • Title: The Qubit Information Logic Theory for Understanding Multi-Qubit Entanglement and Designing Exotic Entangled States
    Authors: Z. Hu, Zixuan; S. Kais, Sabre
    Year: 2025
    Source: Annalen der Physik

  • Title: Experimental test of generalized multipartite entropic uncertainty relations
    Authors: Z. Wang, Zhaoan; B. Xie, Bofu; F. Ming, Fei; G. Guo, Guangcan; S. Kais, Sabre
    Year: 2024
    Citations: 1
    Source: Physical Review A

  • Title: Entropy corrected geometric Brownian motion
    Authors: R. Gupta, Rishabh; E.A. Drzazga-Szczȩśniak, Ewa A.; S. Kais, Sabre; D. Szczȩśniak, Dominik
    Year: 2024
    Citations: 5
    Source: Scientific Reports

  • Title: Psitrum: An open source simulator for universal quantum computers
    Authors: M.Y. Alghadeer, Mohammed Y.; E. Aldawsari, Eid; R. Selvarajan, Raja; S. Kais, Sabre; F.H. Alharbi, Fahhad H.
    Year: 2024
    Source: IET Quantum Communication.

Conclusion 🌟📌

Prof. Dr. Sabre Kais is a trailblazer in the realm of quantum science, seamlessly blending theoretical expertise with practical innovation. His contributions span across education, research, and global scientific leadership, making him a respected figure in multiple disciplines. ⚛️🌐 Through a career marked by scholarly excellence, mentorship, and interdisciplinary collaboration, he continues to shape the future of quantum computing and molecular science. His visionary outlook, combined with a tireless commitment to knowledge creation and dissemination, positions him at the forefront of emerging quantum technologies. 📈🔭 Prof. Kais’s legacy is one of bridging disciplines to unravel the complexities of the quantum world and inspire future generations of scientists.

Ye Li | Information Theory | Best Researcher Award

Dr. Ye Li | Information Theory | Best Researcher Award

Lecturer at Nanjing University of Information Science and Technology, China

Ye Li is a lecturer and master’s supervisor at Nanjing University of Information Science and Technology, specializing in wireless laser communication, vortex light field modulation, and turbulence effects in seawater and the atmosphere. He holds a degree in Control Science and Engineering from Jiangnan University and has made significant research contributions, publishing 15 SCI papers, including four TOP-tier publications, as the first author. He has also secured a National Natural Science Foundation of China (NSFC) project, demonstrating his research leadership. Additionally, he serves as a reviewer for renowned journals such as Optics Express, Optics Communication, and Applied Optics, reflecting his expertise in optical communication. While his strong publication record and research funding establish him as a competitive candidate for the Best Researcher Award, expanding international collaborations, targeting top-tier journals, and enhancing industry applications could further strengthen his impact and global recognition in the field.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Ye Li earned his degree in Control Science and Engineering from Jiangnan University, a prestigious institution known for its strong emphasis on engineering and applied sciences. His academic background has provided him with a deep understanding of control systems, signal processing, and optical communication technologies. Throughout his studies, he gained expertise in advanced mathematical modeling, automation, and system optimization, which laid the foundation for his research in wireless laser communication and turbulence effects in complex environments. His educational journey equipped him with the technical skills and theoretical knowledge required to tackle real-world challenges in optical and laser-based communication systems. With a strong foundation in engineering principles, Ye Li has transitioned seamlessly into academia, where he continues to push the boundaries of optical and photonic research, contributing to emerging fields such as vortex light field modulation and seawater-atmosphere turbulence modeling through his innovative research and scientific contributions.

Professional Experience

Ye Li currently serves as a lecturer and master’s supervisor at Nanjing University of Information Science and Technology, where he plays a key role in mentoring students and advancing research in optical communication. As an active researcher, he has published 15 SCI papers, including four top-tier publications, demonstrating his expertise in his field. His ability to secure funding, including a project from the National Natural Science Foundation of China (NSFC), highlights his research leadership and ability to drive independent projects. Beyond academia, Ye Li actively contributes to the scientific community by serving as a peer reviewer for high-impact journals such as Optics Express, Optics Communication, and Applied Optics, showcasing his reputation as a trusted expert in optical systems. His professional journey is marked by a dedication to pushing the frontiers of wireless laser communication, photonics, and turbulence modeling, positioning him as a rising figure in modern optical research.

Research Interest

Ye Li’s research focuses on wireless laser communication, vortex light field modulation, and turbulence effects in seawater and atmospheric environments. His work aims to improve the efficiency, security, and reliability of optical communication systems, which are crucial for high-speed data transmission in complex environments. By studying the modulation of vortex light fields, he contributes to advancing structured light technology, enabling more robust and efficient optical communication channels. Additionally, his research on seawater and atmospheric turbulence plays a significant role in developing technologies for remote sensing, underwater communication, and aerospace applications. His interdisciplinary approach, combining optical physics, signal processing, and engineering, positions him at the forefront of photonic research. With a strong emphasis on practical applications, his studies have implications for next-generation communication systems, defense technologies, and environmental monitoring, making his research highly relevant in both academic and industrial sectors.

Awards and Honors

Ye Li has earned recognition for his contributions to optical communication and photonics research. His most notable achievement is securing a National Natural Science Foundation of China (NSFC) research project, a highly competitive grant that underscores the importance and impact of his work. Publishing 15 SCI-indexed papers, including four in top-tier journals, is a testament to his dedication to high-quality research. Additionally, his role as a reviewer for prestigious journals such as Optics Express, Optics Communication, and Applied Optics highlights his influence in the scientific community. While he has not yet received widespread international recognition, his research productivity, secured funding, and peer-review contributions indicate strong potential for future awards in optical communication and photonics. As he continues to expand his research portfolio and collaborations, Ye Li is well-positioned to achieve further distinctions and recognition in his field.

Conclusion

Ye Li is an emerging researcher making significant contributions to wireless laser communication, vortex light field modulation, and optical turbulence modeling. With a strong educational foundation in Control Science and Engineering, he has built a robust academic career as a lecturer and master’s supervisor at Nanjing University of Information Science and Technology. His impressive publication record, funding achievements, and peer-review activities position him as a respected figure in optical communication research. While his work is already making an impact, expanding international collaborations, targeting higher-impact journals, and increasing real-world applications will further enhance his global recognition. His strong technical expertise, dedication to advancing photonic research, and contributions to the scientific community make him a promising candidate for prestigious research awards in the future.

Publications Top Noted

  1. Title: Neural Network

    • Authors: Y. Xie (Yaqin), T. Wang (Teqi), Z. Xing (Ziling), Y. Zhang (Yu), Y. Li (Ye)
    • Year: 2022
    • Citations: 4
    • Source: Arabian Journal for Science and Engineering
  2. Title: Displacements of a Spatially Limited Light Beam in the Slant Path of Oceanic Turbulence

    • Authors: Y. Li (Ye), B. Li (Baolong), H. Jiang (Haolin)
    • Year: 2022
    • Citations: 7
    • Source: Optics Express
  3. Title: An Improved Indoor Location Algorithm Based on Backpropagation Neural Network

    • Authors: Xie, Y., …, Li, Y.
    • Year: 2022
    • Citations: [Not provided]
    • Source: Arabian Journal for Science and Engineering, Volume 47, Issue 11, November 2022
  4. Title: Influence of Structural Length-Scale Sensitivities on Hermite–Gaussian Rectangular Vortex Beam Propagation in Biological Tissues

    • Authors: Li, Y., …, Xie, Y.
    • Year: 2022
    • Citations: [Not provided]
    • Source: Journal of Modern Optics, Volume 69, Issue 19, 2022