Mohammad Ali Nematollahi | Graph Theory | Best Academic Researcher Award

Assist. Prof. Dr. Mohammad Ali Nematollahi | Graph Theory | Best Academic Researcher Award

Assistant Professor atFasa University, Iran

Dr. Mohammad Ali Nematollahi 📚 is a distinguished Assistant Professor at Fasa University, Iran, known for his significant contributions to mathematics and computer science. He holds a Ph.D. from Sharif University of Technology and has published extensively in top-tier journals, covering topics like spectral graph theory, Seidel energy, and machine learning applications in medicine 🤖🩺. With a strong teaching portfolio, Dr. Nematollahi has inspired many students while maintaining a consistent record of academic excellence 🏆. His numerous awards, including a Silver Medal at the International Mathematics Olympiad for University Students, highlight his dedication and talent. Though his international collaborations could expand further, his interdisciplinary research and exceptional teaching make him a standout candidate for recognition as a Best Academic Researcher 🌐.

Professional Profile 

Education 🎓

Dr. Mohammad Ali Nematollahi began his academic journey at Andisheh Magnet High School in Shiraz, where he excelled with top GPAs in both high school and pre-university studies. He then earned his B.Sc., M.Sc., and Ph.D. in Mathematics from Sharif University of Technology, Tehran—one of Iran’s most prestigious institutions. His graduate research delved into Pfister’s Local-Global Principle and the Spectral Theory of Signed Graphs and Digraphs, under renowned supervisors. This strong educational foundation equipped him with a robust understanding of both pure and applied mathematics, fostering interdisciplinary research and teaching excellence. His academic record, marked by consistently high grades and prestigious scholarships, reflects his dedication and passion for learning, setting the stage for a dynamic and influential academic career. 🌟

Professional Experience 💼

Dr. Mohammad Ali Nematollahi serves as an Assistant Professor at Fasa University’s Department of Computer Sciences, where he bridges mathematics and computer science through teaching and research. His academic roles include teaching courses like Graph Theory, Advanced Programming (Python), Foundations of Combinatorics, and Machine Learning Applications 📊. Earlier, he honed his teaching skills as a Teaching Assistant at Sharif University of Technology, covering Calculus, Linear Algebra, and Differential Equations. Dr. Nematollahi’s experience also extends to supervising undergraduate and graduate students, mentoring them in complex research areas. His diverse experience showcases his versatility, making him a dynamic educator and researcher with expertise that resonates across disciplines. 💼

Research Interest 🔬

Dr. Mohammad Ali Nematollahi’s research interests span a fascinating intersection of graph theory, spectral analysis, combinatorics, and applied machine learning. His work on Seidel energy of graphs, spectral characterizations of signed cycles, and circular zero-sum flows has advanced theoretical understanding of graphs 📈. Additionally, his research extends to machine learning applications, notably in medical diagnostics, disease prediction, and sentiment analysis of social media data. This interdisciplinary approach highlights his ability to tackle both theoretical and practical challenges, positioning him as a forward-thinking researcher whose work benefits academia and society alike. His passion for bridging abstract mathematics with real-world problems drives his continuous exploration of innovative solutions. 🌐

Awards and Honors 🏅

Dr. Mohammad Ali Nematollahi’s academic journey is marked by numerous awards and honors, underscoring his dedication and talent. Early in his career, he ranked in the top 0.1% in the Mathematics Nationwide Entrance Exam and secured admission to Sharif University of Technology. His remarkable achievements continued with a silver medal at the International Mathematics Olympiad for University Students, ranking fifth among top talents. He also won exceptional talent scholarships at both M.Sc. and Ph.D. levels. These accolades reflect his academic excellence and unwavering commitment to advancing mathematical knowledge. Each honor affirms his standing as a distinguished scholar whose contributions resonate globally. 🥇

Research Skills 💻

Dr. Mohammad Ali Nematollahi boasts an impressive skill set, seamlessly blending theoretical mathematics and computational techniques. He is proficient in Python, Mathematica, and SageMath, enabling him to model complex systems and analyze large datasets. His expertise extends to machine learning algorithms, supporting research in medical diagnostics and disease prediction. He is also adept at using LaTeX for professional documentation and Microsoft Office for academic administration 📑. His technical skills empower him to tackle multifaceted research challenges, from graph theory to real-world applications. This diverse toolbox allows him to develop innovative solutions, bridging theory and practice with precision and creativity. 🤖

Publications Top Notes

  • Effective class-imbalance learning based on SMOTE and convolutional neural networks
    Authors: JH Joloudari, A Marefat, MA Nematollahi, SS Oyelere, S Hussain
    Year: 2023
    Citations: 132
    Source: Applied Sciences 13(6), 4006

  • BERT-deep CNN: State of the art for sentiment analysis of COVID-19 tweets
    Authors: JH Joloudari, S Hussain, MA Nematollahi, R Bagheri, F Fazl, …
    Year: 2023
    Citations: 65
    Source: Social Network Analysis and Mining 13(1), 99

  • Prognosis prediction in traumatic brain injury patients using machine learning algorithms
    Authors: H Khalili, M Rismani, MA Nematollahi, MS Masoudi, A Asadollahi, …
    Year: 2023
    Citations: 44
    Source: Scientific Reports 13(1), 960

  • GSVMA: a genetic support vector machine ANOVA method for CAD diagnosis
    Authors: J Hassannataj Joloudari, F Azizi, MA Nematollahi, R Alizadehsani, …
    Year: 2022
    Citations: 26
    Source: Frontiers in Cardiovascular Medicine 8, 760178

  • Proof of a conjecture on the Seidel energy of graphs
    Authors: S Akbari, M Einollahzadeh, MM Karkhaneei, MA Nematollahi
    Year: 2020
    Citations: 25
    Source: European Journal of Combinatorics 86, 103078

  • Spectral characterizations of signed cycles
    Authors: S Akbari, F Belardo, E Dodongeh, MA Nematollahi
    Year: 2018
    Citations: 22
    Source: Linear Algebra and Its Applications 553, 307-327

  • DNN-GFE: a deep neural network model combined with global feature extractor for COVID-19 diagnosis based on CT scan images
    Authors: JH Joloudari, F Azizi, I Nodehi, MA Nematollahi, F Kamrannejhad, …
    Year: 2021
    Citations: 20
    Source: EasyChair 6330

  • Body composition predicts hypertension using machine learning methods: a cohort study
    Authors: MA Nematollahi, S Jahangiri, A Asadollahi, M Salimi, A Dehghan, …
    Year: 2023
    Citations: 18
    Source: Scientific Reports 13(1), 6885

  • CCTCOVID: COVID-19 detection from chest X-ray images using Compact Convolutional Transformers
    Authors: A Marefat, M Marefat, J Hassannataj Joloudari, MA Nematollahi, …
    Year: 2023
    Citations: 13
    Source: Frontiers in Public Health 11, 1025746

  • Association and predictive capability of body composition and diabetes mellitus using artificial intelligence: a cohort study
    Authors: MA Nematollahi, A Askarinejad, A Asadollahi, M Salimi, M Moghadami, …
    Year: 2022
    Citations: 7

  • Mixed paths and cycles determined by their spectrum
    Authors: S Akbari, A Ghafari, M Nahvi, MA Nematollahi
    Year: 2020
    Citations: 5
    Source: Linear Algebra and Its Applications 586, 325-346

  • A short proof of Haemers’ conjecture on the Seidel energy of graphs
    Authors: M Einollahzadeh, MA Nematollahi
    Year: 2024
    Citations: 3
    Source: Linear Algebra and Its Applications 695, 75-78

  • A cohort study on the predictive capability of body composition for Diabetes Mellitus using machine learning
    Authors: MA Nematollahi, A Askarinejad, A Asadollahi, M Bazrafshan, S Sarejloo, …
    Year: 2024
    Citations: 3
    Source: Journal of Diabetes & Metabolic Disorders 23(1), 773-781

  • Improving Prediction of Mortality in ICU via Fusion of SelectKBest with SMOTE Method and Extra Tree Classifier
    Authors: M Maftoun, JH Joloudari, O Zare, M Khademi, A Atashi, MA Nematollahi, …
    Year: 2024
    Citations: 3
    Source: International Work-Conference on the Interplay Between Natural and …

  • Improving a lower bound for Seidel energy of graphs
    Authors: MR Oboudi, MA Nematollahi
    Year: 2023
    Citations: 3
    Source: MATCH Commun. Math. Comput. Chem 89, 489-502

Conclusion ✨

Dr. Mohammad Ali Nematollahi exemplifies excellence in academia through his outstanding education, professional experience, research interests, awards, and technical skills. His dedication to advancing mathematical knowledge and applying it to real-world challenges makes him a leading figure in his field. His passion for teaching and mentoring nurtures the next generation of scholars, while his collaborative spirit and interdisciplinary approach enhance the global impact of his research. As a candidate for the Best Academic Researcher Award, Dr. Nematollahi stands out for his remarkable contributions, innovation, and unwavering commitment to excellence. He is undoubtedly a deserving nominee for this prestigious recognition. 🏆

Meysam Miralaei | Combinatorics | Best Researcher Award

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 🏆📚.