Meysam Miralaei | Combinatorics | Best Researcher Award

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Dr. Meysam Miralaei | Combinatorics | Best Researcher Award

Postdoc researcher at University of Sao Paulo, Brazil

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

Professional Profile

Education 🎓

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

Professional Experience 💼

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

Research Interest 🔍

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

Awards and Honors 🏅

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

Research Skills 🧠

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

Publications Top Notes

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

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

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

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

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

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

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

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

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

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

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

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

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

Conclusion ✨

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

Farshid Dehghan | Optimization | Best Researcher Award

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Dr. Farshid Dehghan | Optimization | Best Researcher Award

Doctoral Researcher at Universidad Politécnica de Madrid, Iran

Farshid Dehghan is a dedicated Building Energy Performance Analyst with expertise in simulation-based optimization, energy efficiency, and machine learning applications. He is affiliated with Escuela Técnica Superior de Edificación, Universidad Politécnica de Madrid, Spain, where he focuses on sustainable building solutions. His research includes optimizing building retrofits in Iran to improve energy consumption, emissions reduction, comfort, and indoor air quality in the face of climate change. He is currently working on predicting energy consumption and emissions using machine learning approaches, reflecting his innovative mindset in data-driven sustainability. His scholarly contributions include a publication in the Sustainability journal, showcasing his ability to address real-world energy challenges. While his research impact is growing, expanding his indexed publications, securing patents, and increasing industry collaborations could further enhance his profile. With his commitment to sustainable energy solutions, Farshid Dehghan is a promising researcher in the field of building energy performance and smart optimization techniques.

Professional Profile 

Google Scholar

Education

Farshid Dehghan is affiliated with Escuela Técnica Superior de Edificación, Universidad Politécnica de Madrid, Spain, where he has built a strong academic foundation in building energy performance, sustainable design, and simulation-based optimization. His educational background is deeply rooted in engineering and environmental sustainability, equipping him with the necessary skills to tackle challenges related to energy efficiency, emissions control, and indoor air quality. His studies have provided him with expertise in machine learning applications for energy prediction and optimization, making him a forward-thinking researcher in the field. Throughout his academic journey, he has developed a strong analytical approach and a problem-solving mindset, allowing him to apply innovative methodologies to complex building energy problems. His educational background has played a crucial role in shaping his research focus, emphasizing the intersection of technology, energy efficiency, and sustainability, which forms the core of his work in simulation-based multi-objective optimization.

Professional Experience

Farshid Dehghan is a Building Energy Performance Analyst with expertise in sustainable building solutions, energy efficiency modeling, and simulation-based optimization techniques. His professional experience includes research on building retrofits in Iran, where he focuses on optimizing energy consumption, minimizing emissions, and improving occupant comfort while considering climate change impacts. His work integrates machine learning and data-driven approaches to predict energy consumption and emissions, demonstrating his strong analytical and computational skills. Through his research, he has gained experience in working with building simulation software, optimization tools, and statistical modeling techniques. His role requires him to analyze real-world building performance, propose effective retrofit solutions, and contribute to the advancement of energy-efficient building designs. Additionally, his work in academic publishing and industry-related consultancy projects has enabled him to apply his research to practical applications, making him a valuable asset in the field of sustainable building energy performance.

Research Interest

Farshid Dehghan’s research primarily focuses on building energy performance, simulation-based optimization, and machine learning applications in sustainability. He is particularly interested in multi-objective optimization for energy-efficient building retrofits, aiming to reduce energy consumption, minimize emissions, and enhance indoor air quality while ensuring occupant comfort. His work extends to predictive modeling using machine learning techniques, where he applies advanced algorithms to forecast energy usage patterns and environmental impacts. Additionally, he is exploring the integration of smart building technologies to develop data-driven strategies for optimizing building operations. His research aligns with global efforts to combat climate change by promoting energy-efficient and low-carbon building solutions. He is also interested in developing policy-driven strategies for sustainable urban environments, collaborating with experts across disciplines to create innovative frameworks for energy management and optimization. His research contributions reflect his commitment to sustainability and technological innovation in the built environment.

Awards and Honors

Farshid Dehghan’s contributions to building energy performance research have positioned him as a promising researcher in his field. While he is in the early stages of his career, his publication in the Sustainability journal and ongoing research projects demonstrate his growing impact. His work in simulation-based optimization for building retrofits has gained recognition, and as he continues to expand his research, he is likely to attract more academic and industry accolades. By securing indexed journal publications, patents, and industry collaborations, he has the potential to achieve prestigious honors in sustainable building research. His dedication to improving energy efficiency and indoor air quality aligns with global sustainability goals, making him a strong candidate for future research awards. As he continues to contribute to innovative energy solutions, his work is expected to receive further recognition in academic, industry, and policy-making circles.

Conclusion

Farshid Dehghan is a dedicated researcher and analyst specializing in building energy performance, sustainable design, and machine learning-driven energy optimization. His work addresses critical challenges in energy efficiency, emissions reduction, and occupant comfort, making significant contributions to the field of sustainable built environments. While his research is gaining traction, further expansion in indexed journal publications, patents, and industry partnerships will strengthen his profile. His expertise in simulation-based optimization and predictive modeling demonstrates his forward-thinking approach to sustainability. As he continues his research, his contributions will play a vital role in shaping the future of energy-efficient building solutions. His strong technical background, research-driven mindset, and commitment to innovation make him a valuable asset in the pursuit of sustainable and climate-resilient building technologies.

Publications Top Noted