Engin Özkan | Number Theory | Best Researcher Award

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Prof. Dr. Engin Özkan | Number Theory | Best Researcher Award

Head of the Department of Mathematics | Marmara University | Turkey

Prof. Dr. Engin Özkan is a distinguished mathematician specializing in number theory, combinatorics, and polynomial structures of number sequences. His research explores the properties and transformations of Fibonacci, Pell, Jacobsthal, and Lucas-type sequences, along with their applications in finite groups and algebraic structures. Through his extensive academic career at leading institutions in Turkey and abroad, including Marmara University and The Ohio State University, he has contributed significantly to the development of generalized number sequences and their combinatorial representations. Prof. Özkan’s studies advance the theoretical foundations of sequence polynomials and trace formulas, bridging classical and modern mathematical theory.

Profiles: Scopus | Orcid | Google Scholar | Web of Science 

Featured Publications

  1. Taştan, M., & Özkan, E. (2021). Catalan transform of the k-Pell, k-Pell–Lucas and modified k-Pell sequence. Notes on Number Theory and Discrete Mathematics, 27(1), 198–207. Citation count: 25.

  2. Taştan, M., Özkan, E., & Shannon, A. G. (2021). The generalized k-Fibonacci polynomials and generalized k-Lucas polynomials. Notes on Number Theory and Discrete Mathematics, 27(2), 148–158. Citation count: 24.

  3. Kuloğlu, B., Özkan, E., & Shannon, A. G. (2022). The Narayana sequence in finite groups. Fibonacci Quarterly, 60(5), 212–221. Citation count: 22.

  4. Özkan, E., Uysal, M., & Kuloğlu, B. (2022). Catalan transform of the incomplete Jacobsthal numbers and incomplete generalized Jacobsthal polynomials. Asian-European Journal of Mathematics, 22501194. Citation count: 22.

  5. Özkan, E., & Uysal, M. (2021). Mersenne–Lucas hybrid numbers. Mathematica Montisnigri, 52, 17–29. Citation count: 21.

 

 

Vahid Goodarzimehr | Optimization | Best Researcher Award

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Assist. Prof. Dr. Vahid Goodarzimehr | Optimization | Best Researcher Award

Assistant professor | Shahid Chamran University of Ahvaz | Iran

Dr. Vahid Goodarzimehr is a pioneering researcher in computational mechanics, structural optimization, and metaheuristic algorithms, with his groundbreaking work inspired by Einstein’s theory of relativity. He introduced the Special Relativity Search (SRS) algorithm — a novel metaheuristic method that simulates relativistic physics to solve complex engineering and mathematical optimization problems. His research integrates artificial intelligence, optimization theory, and physics-based modeling to advance dynamic and structural design systems. With publications in top-tier Q1 journals such as Knowledge-Based Systems, Computer Methods in Applied Mechanics and Engineering, and Engineering Structures, Dr. Goodarzimehr has established himself as a leading innovator in physics-inspired computational optimization. His algorithms like SRS, MOSRS, and SABO have significantly influenced the next generation of engineering problem-solving tools.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  1. Goodarzimehr, V., Shojaee, S., Hamzehei-Javaran, S., & Talatahari, S. (2022). Special relativity search: A novel metaheuristic method based on special relativity physics. Knowledge-Based Systems, 257, 109484. Citation count: 101.

  2. Omidinasab, F., & Goodarzimehr, V. (2020). A hybrid particle swarm optimization and genetic algorithm for truss structures with discrete variables. Journal of Applied and Computational Mechanics, 6(3), 593–604. Citation count: 64.

  3. Goodarzimehr, V., Topal, U., Das, A. K., & Vo-Duy, T. (2023). Bonobo optimizer algorithm for optimum design of truss structures with static constraints. Structures, 50, 400–417. Citation count: 37.

  4. Goodarzimehr, V., Talatahari, S., Shojaee, S., & Hamzehei-Javaran, S. (2023). Special relativity search for applied mechanics and engineering. Computer Methods in Applied Mechanics and Engineering, 403, 115734. Citation count: 35.

  5. Talatahari, S., Goodarzimehr, V., & Taghizadieh, N. (2020). Hybrid teaching-learning-based optimization and harmony search for optimum design of space trusses. Journal of Optimization in Industrial Engineering, 13(1), 177–194. Citation count: 32.

 

 

 

David Raju Thommandru | Mathematical Modeling | Mathematical Modeling Breakthrough Award

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Dr. David Raju Thommandru | Mathematical Modeling | Mathematical Modeling Breakthrough Award

Research scholar | VIT-AP University | India

Dr. T. David Raju is an Assistant Professor of Mathematics at R.K. College of Engineering & Technology, Kethanakonda, with over 15 years of academic experience. His research focuses on mathematical modeling, nonlinear dynamics, and ecological systems, particularly analyzing tipping points and time delays in complex biological interactions. His work bridges applied mathematics with ecology, contributing valuable insights into predator–prey dynamics under environmental stress. With a strong academic background (M.Phil., M.Sc., M.Ed.) and a Silver Medal from Andhra University, he combines teaching excellence with impactful research in applied nonlinear systems.

Profile: Scopus

Featured Publications

  1. T. David Raju (2025). Uncovering ecological thresholds: Effects of external stress driven tipping point and delay in predator–prey system. Chaos, Solitons & Fractals (Open Access).

 

 

 

Ilhem Kadri | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Ilhem Kadri | Applied Mathematics | Best Researcher Award

Associate Professor | University of Oran 1 – Ahmed Ben Bella | Algeria

Dr. Ilhem Kadri is an Associate Professor of Applied Mathematics at the University of Oran 1, Algeria, specializing in fractional calculus, nonlinear partial differential equations, and computational mathematics. She earned her Ph.D. in Applied Mathematics from the University of Jordan, following her master’s and bachelor’s degrees in mathematics from the University of Oran 1 Ahmed Ben Bella. Dr. Kadri’s academic and research trajectory reflects a deep commitment to advancing the analytical and numerical treatment of fractional and conformable differential equations, as well as exploring chaotic and nonlinear dynamical systems. Her scholarly contributions include numerous research articles in internationally recognized journals, such as the European Journal of Pure and Applied Mathematics, Mathematics, and Results in Nonlinear Analysis, where she has developed novel analytical and numerical frameworks including the Laplace Transform Decomposition Method, the Conformable Fractional Laplace Transform Method, and applications of fractional Fourier series and tensor product techniques. She has presented her work at several prestigious international conferences and symposia across Europe, Asia, and Africa, contributing to global dialogues on applied and computational mathematics. Dr. Kadri is also actively engaged in academic collaboration, scientific workshops, and professional development activities focused on enhancing research impact and innovation in mathematical sciences. Her expertise and scholarly output reflect a strong foundation in both theoretical and applied aspects of mathematics, positioning her as an influential contributor to the field of fractional calculus and nonlinear analysis.10 Citations, 4 Documents, 2 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Kadri, I.*, Al-Horani, M., & Khalil, R. (2022). Solution of non-linear fractional Burger’s type equations using the Laplace transform decomposition method. Results in Nonlinear Analysis, 5(2), 131–150. Citations: 12.

2. Kadri, I.*, Al Horani, M., & Khalil, R. (2023). Solution of fractional Laplace type equation in conformable sense using fractional Fourier series with separation of variables technique. Results in Nonlinear Analysis, 6(2), 53–59. Citations: 10.

3. Kadri, I.*, Horani, M., & Khalil, R. (2020). Tensor product technique and fractional differential equations. Journal of Semigroup Theory and Applications, Article ID 6. Citations: 5.

4. Ahmed, A. I., Elbadri, M., Alotaibi, A. M., Ashmaig, M. A. M., Dafaalla, M. E., & Kadri, I.* (2025). Chaos and dynamic behavior of the 4D hyperchaotic Chen system via variable-order fractional derivatives. Mathematics, 13(20), 3240.

5. Kadri, I.*, Saadeh, R. S., AlMutairi, D. M., Dafaalla, M. E., Berir, M., & Abdoon, M. A. (2025). Analytical and numerical investigation of a fractional order 4D chaotic system via Caputo fractional derivative. European Journal of Pure and Applied Mathematics, 18(3).

Ahmet Erol | STEM education | Best Researcher Award

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Assoc. Prof. Dr. Ahmet Erol | STEM education | Best Researcher Award

Associate Professor | Pamukkale University | Turkey

Dr. Ahmet Erol is an Associate Professor in the Department of Preschool Education at Pamukkale University, Faculty of Education, specializing in early childhood education and STEM/STEAM pedagogies. He earned his PhD and master’s degrees in Preschool Education from Pamukkale University and his bachelor’s degree in Classroom Teaching from Celal Bayar University. His professional career has been centered on advancing early childhood education through research, teaching, and national scientific projects, including several TÜBİTAK-funded initiatives focusing on STEM education, environmental awareness, and self-regulation development in young children. As a researcher and educator, Dr. Erol has made substantial contributions to the integration of science, technology, engineering, arts, and mathematics into early learning environments, developing innovative pedagogical models that enhance creativity, problem-solving, and cognitive development. His prolific publication record spans leading international journals, covering topics such as engineering habits of mind, family-involved STEM education, ecological footprint awareness, and teacher professional development. He has co-authored several academic book chapters and presented his work at numerous international conferences. Dr. Erol also serves in editorial and review capacities for several indexed journals, including positions as editor and board member of the Temel Eğitim Dergisi and assistant editor for the Pamukkale University Journal of Education. In addition to his academic achievements, he holds certifications in STEM teaching, the Montessori approach through drama, and the HTKS-R behavioral assessment methodology. Through his academic leadership, scholarly rigor, and pedagogical innovation, Dr. Erol continues to shape the future of early childhood education and STEM-based learning practices in Turkey and beyond. 99 Citations, 24 Documents, 5 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. M. Erol & A. Erol, “Quoting Year Primary School Students During the Coronavirus Pandemic from the Perspective of Their Parents,” Journal of National Education, 49(1), 529-551. Citations: 104.

2. A. Erol, M. Erol & M. Başaran, “The effect of STEAM education with tales on problem solving and creativity skills,” European Early Childhood Education Research Journal, 31(2), 243-258. Citations: 88.

3. A. Erol & A. İvrendi, “Development of a Self-Regulation Skills Scale for 4-6 Year-Old Children (Mother Form),” Pamukkale University Journal of Education. Citations: 72*.

4. A. Erol, “Examining the effects of a family-participation environmental education program based on a project approach on the environmental awareness and attitudes of 5-6 year old children,” Pamukkale University Institute of Educational Sciences. Citations: 53.

5. N. Işıkoğlu, A. Erol, A. Atan & S. Aytekin, “A qualitative case study about overuse of digital play at home,” Current Psychology, 42, 1676-1686. Citations: 49.

Fatma Nur Kaya Sağlam | Soliton Theory | Best Researcher Award

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Assist. Prof. Dr. Fatma Nur Kaya Sağlam | Soliton Theory | Best Researcher Award

Assistant Professor | Cappadocia University | Turkey

Dr. Fatma Nur Kaya Sağlam is an Assistant Professor of Applied Mathematics at Cappadocia University, where she specializes in nonlinear partial differential equations, soliton theory, and computational mathematics. She earned her Ph.D. in Applied Mathematics from Tekirdağ Namık Kemal University, focusing on the development of analytical and computational models for complex nonlinear systems. Her academic journey is marked by extensive research on soliton dynamics, symbolic computation, and hybrid analytical–numerical techniques such as the Hirota bilinear method and neural network-based analytical approaches. Dr. Sağlam has successfully completed over twenty research projects and continues to lead several ongoing investigations centered on nonlinear dynamics and soliton interactions. With more than twenty publications in high-impact journals—including Chaos, Solitons & Fractals; Mathematical Methods in the Applied Sciences; Modern Physics Letters; and Scientific Reports—her contributions have advanced the understanding of nonlinear evolution equations and their applications in physical and engineering systems. Her collaborative research with international scholars has yielded innovative computational methods integrating symbolic and machine learning approaches. Dr. Sağlam has also contributed to academic literature through a published book chapter and actively supports the academic community through collaborations across applied mathematics and computational physics. Her research aims to deepen theoretical foundations while offering efficient models applicable to quantum, optical, and stochastic systems, establishing her as a leading figure in nonlinear mathematical modeling and soliton theory.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Sağlam, F. N. K.*, & Malik, S. (2024). Various traveling wave solutions for (2+1)-dimensional extended Kadomtsev–Petviashvili equation using a newly created methodology. Chaos, Solitons & Fractals, 186, 115318. Citations: 19.

2. Claspless, B., & Kaya Sağlam, F. N.* (2025). Exploration of soliton solutions for the Kaup–Newell model using two schemes integration in mathematical physics. Mathematical Methods in the Applied Sciences, 48(6), 6477–6487. Citations: 15.

3. Sağlam, F. N. K.*, & Ahmad, S. (2025). Stability analysis and retrieval of new solitary waves of (2+1)- and (3+1)-dimensional potential Kadomtsev–Petviashvili and B-type Kadomtsev–Petviashvili equations using analytical techniques. Modern Physics Letters B, 39(03), 2450413. Citations: 10.

4. Kopcasiz, B., Sağlam, F.*, & Malik, S. (2025). Exact soliton solutions for the (n+1)-dimensional generalized Kadomtsev–Petviashvili equation via two novel methods. International Journal of Geometric Methods in Modern Physics. Citations: 6.

5. Sağlam, F. N. K.*, Claspless, B., & Şenol, M. (2025). Abundant new soliton solutions to the Arshed–Biswas equation via two novel integrating schemes. Modern Physics Letters A, 40(19–20), 2550054. Citations: 4.

Seyed Abolfazl Hosseini | Communication Systems | Best Researcher Award

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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.

Maria Korovina | Pure Mathematics | Best Researcher Award

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Dr. Maria Korovina | Pure Mathematics | Best Researcher Award

Leading Researcher | Lomonosov Moscow State University | Russia 

Dr. Maria Korovina is a Leading Researcher at Lomonosov Moscow State University, specializing in the analytic theory of differential equations and resurgent analysis. She earned her PhD and Doctor of Physico-Mathematical Sciences degrees from the Faculty of Computational Mathematics and Cybernetics at the same institution, where her doctoral research addressed elliptic problems in spaces with asymptotics and their applications to self-adjoint extensions of the Laplace operator. Throughout her career, she has contributed significantly to the analytic theory of differential equations, focusing on the Poincaré problem and the asymptotic behavior of solutions with meromorphic coefficients near irregular singular points. Her pioneering work established general forms of asymptotic expansions for equations with simple and multiple roots of the principal symbol, later extended to arbitrary principal symbols. Among her notable contributions is the development of a method for constructing these asymptotic expansions, which has advanced understanding in mathematical analysis and differential equations. Dr. Korovina has an extensive publication record, with over fifty articles indexed in Web of Science and Scopus and more than one hundred on Google Scholar, along with several scholarly books in Russian. Her research is recognized for its theoretical depth and precision, making substantial contributions to the field of applied and theoretical mathematics. 144 Citations, 54 publications, h-index: 8.

Profiles: Scopus | ORCID

Featured Publications

1. Korovina, M. V., & Smirnov, I. (2024). Method for investigation of convergence of formal series involved in asymptotics of solutions of second-order differential equations in the neighborhood of irregular singular points. Axioms, 13(12), 853.

2. Korovina, M. V., Matevossian, H. A., & Smirnov, I. N. (2024). Asymptotics of solutions to a third-order equation in a neighborhood of an irregular singular point. Siberian Mathematical Journal.

3. Korovina, M. V., Matevossian, H. A., & Smirnov, I. N. (2024). Asymptotics of solutions to a third-order equation in a neighborhood of an irregular singular point. Vladikavkaz Mathematical Journal.

4. Korovina, M. V., Matevossian, H. A. (2023). On uniform asymptotics of solutions of second-order differential equations with meromorphic coefficients in the neighborhood of singular points. Siberian Electronic Mathematical Reports, 20(020).

5. Korovina, M. V. (2023). Uniform asymptotics of solutions to linear differential equations with holomorphic coefficients in the neighborhood of an infinitely distant point. Lobachevskii Journal of Mathematics.

Pasarescu Ovidiu | Algebraic Geometry | Best Researcher Award

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Dr. Pasarescu Ovidiu | Algebraic Geometry | Best Researcher Award

Senior Researcher | Institute of Mathematics of the Romanian Academy | Romania

Dr. Ovidiu Florin Păsărescu is a Principal Researcher at the “Simion Stoilow” Institute of Mathematics of the Romanian Academy (IMAR), whose expertise spans Algebraic Geometry, Non-Standard Analysis, and Mathematical Neuroscience. He earned his Ph.D. in Mathematics from the University of Bucharest with a dissertation on discrete and continuous invariants and classification problems in Algebraic Geometry, following a Master’s and Bachelor’s in Mathematics from the same institution with specialization in Algebraic Geometry. Over an illustrious academic and research career, he has held visiting and research positions at globally recognized institutions, including the University of Tokyo, Colorado State University, the University of Iowa, the Australian National University, and the Mathematical Sciences Research Institute (MSRI) in Berkeley. His scholarly contributions have advanced the intersections of algebraic geometry, model theory, commutative and non-commutative geometry, and their emerging applications in artificial intelligence and neuroscience, as reflected in his co-authored works such as Applications of Non-Standard Analysis in Topoi to Mathematical Neurosciences and Artificial Intelligence and Unification Theories: Means and Generalized Euler Formulas. Dr. Păsărescu has served as a reviewer for Mathematical Reviews and Zentralblatt für Mathematik, organized international schools and seminars on characteristic p methods and birational geometry, and mentored students who have gone on to distinguished academic careers. His leadership in European research networks such as EUROPROJ and EAGER strengthened international collaborations in algebraic and projective geometry. Recognized with prestigious honors including the Fulbright Scholar Fellowship (USA), JSPS Fellowship (Japan), and the Global Center of Excellence (GCOE) grant, he continues to contribute significantly to theoretical and applied mathematics, uniting rigorous algebraic structures with cognitive and computational models in the emerging landscape of mathematical neuroscience and artificial intelligence

Profiles: Scopus | ORCID 

Featured Publications

1. Badea, I., Mocanu, C., Nichita, F., & Păsărescu, O. (2021). Applications of Non-Standard Analysis in Topoi to Mathematical Neurosciences and Artificial Intelligence: Infons, Energons, Receptons (I). Mathematics, 9(17).

2. Iordanescu, R., Nichita, F. F., & Păsărescu, O. (2020). Unification Theories: Means and Generalized Euler Formulas. Axioms, 9(4).

3. Păsărescu, O. (2020, August 3). Applications of Non-Standard Analysis in Topoi to Mathematical Neuroscience and Artificial Intelligence: Infons, Energons, Receptons (I). Preprints, Version 2.

4. Păsărescu, O. (2020, January 11). Applications of Non-Standard Analysis in Topoi to Mathematical Neuroscience and Artificial Intelligence: I. Mathematical Neuroscience. Preprints, Version 1.

5. Păsărescu, O. (2011, January 3). Curves on Rational Surfaces with Hyperelliptic Hyperplane Sections.

Milad Samady Shadlu | Signal Processing | Best Researcher Award

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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.