Ph.D. student at Brandenburg University of Technology (BTU) Cottbus-Senftenberg, Germany
Professional Profile
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Education
Dr. Saeide Hajighasemi pursued her academic journey in Applied Mathematics, beginning with a Bachelor of Science at Ferdowsi University, Mashhad, followed by a Master of Science at Islamic Azad University, Mashhad branch. She further advanced her expertise with a Doctor of Science in Applied Mathematics from Science and Research University, Tehran, where she developed strong foundations in numerical computation, fuzzy systems, and mathematical modeling. Her education combined theoretical rigor with practical applications, preparing her for interdisciplinary research at the intersection of mathematics, computer science, and artificial intelligence. Through her studies, she built a strong background in optimization, advanced calculus, differential equations, and computational methods. This comprehensive academic path provided the basis for her later achievements in research, publications, and international collaborations across applied mathematics and artificial intelligence.
Experience
Dr. Saeide Hajighasemi has established a broad academic and research career spanning teaching, research, and collaborative projects in mathematics and artificial intelligence. She served as a lecturer and researcher in Tehran, where she taught a wide range of mathematical subjects including optimization, numerical methods, calculus, linear algebra, probability, and statistics. Her research extended into fuzzy systems, mathematical modeling, and interdisciplinary applications. She later joined Brandenburg Technical University in Germany as a researcher in applied mathematics, where her work focused on image processing, particle tracking, and computer vision. Beyond teaching and research, she has contributed significantly as a reviewer for international journals and actively participated in major conferences. Her professional experience reflects both academic dedication and international engagement, bridging mathematics with real-world computational and engineering applications.
Research Interest
Dr. Saeide Hajighasemi’s research interests lie at the intersection of mathematics, artificial intelligence, and computational sciences. She has contributed to fuzzy systems, similarity measures, integral equations, optimization, and numerical computation, while also exploring applications in engineering and interdisciplinary contexts. Her current focus includes artificial intelligence, particularly image processing, computer vision, and interpretable AI methods applied to particle tracking and scientific computing. She is passionate about bridging theoretical mathematics with practical AI-driven solutions that address real-world challenges. Her contributions to publications and books demonstrate her ability to integrate theory and application, advancing both mathematical foundations and computational techniques. Through her interdisciplinary approach, she seeks to develop innovative solutions that combine the precision of mathematics with the transformative power of artificial intelligence and data-driven technologies.
Awards and Honors
Dr. Saeide Hajighasemi has earned recognition for her contributions to mathematics and artificial intelligence through impactful publications, international collaborations, and academic service. Her participation in prestigious conferences such as IEEE International Conference on Fuzzy Systems and ALGORITMY highlights her standing in the global research community. She has co-authored several academic books on mathematics, fuzzy systems, and computational methods, which are widely used by students and researchers. As a reviewer for respected international journals, she has contributed to maintaining high standards in scientific publishing. Her recognition as a member of IEEE Women in Engineering further reflects her role in promoting diversity and leadership in science. These accomplishments underline her growing reputation as a researcher whose interdisciplinary work continues to benefit both academia and applied sciences.
Research Skill
Dr. Saeide Hajighasemi possesses strong research skills in applied mathematics, artificial intelligence, and computational modeling. She is proficient in developing algorithms for fuzzy systems, solving complex integral equations, and applying optimization methods across interdisciplinary domains. Her expertise extends to artificial intelligence, including computer vision, image processing, and interpretable AI techniques. She is skilled in programming and computational tools such as MATLAB, Python, and LaTeX, enabling her to conduct advanced simulations and implement mathematical models effectively. Alongside technical expertise, she demonstrates strong analytical, problem-solving, and critical thinking abilities, which she applies to theoretical and applied research. Her experience as a reviewer, author, and translator further illustrates her capabilities in scientific communication. These skills collectively establish her as a versatile researcher with interdisciplinary strengths.
Publication Top Notes
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Title: A fuzzy similarity measure for generalized fuzzy numbers
Authors: Hajighasemi, S.
Year: 2015
Citation: IEEE International Conference on Fuzzy Systems, DOI: 10.1109/FUZZ-IEEE.2015.7337851
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Title: Experimental investigation on using nano additives in designing of smart drilling fluids – A revolution in drilling
Authors: Hajighasemi, S.; Rayatdoost, S.; Soleymani, M.; Bakhtbidar, M.
Year: 2014
Citation: 6th Saint Petersburg International Conference and Exhibition on Geosciences, DOI: 10.3997/2214-4609.20140184
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Title: A new distance measure and ranking method for generalized trapezoidal fuzzy numbers
Authors: Allahviranloo, T.; Jahantigh, M.A.; Hajighasemi, S.
Year: 2013
Citation: Mathematical Problems in Engineering, DOI: 10.1155/2013/623757
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Title: A new similarity measure for generalized fuzzy numbers
Authors: Allahviranloo, T.; Abbasbandy, S.; Hajighasemi, S.
Year: 2012
Citation: Neural Computing and Applications, DOI: 10.1007/s00521-012-0836-2
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Title: Fuzzy Fredholm-Volterra integral equations and existence and uniqueness of solution of them
Authors: Haji Ghasemi, S.
Year: 2011
Citation: Australian Journal of Basic and Applied Sciences, EID: 2-s2.0-79954487880
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Title: A fuzzy distance between two fuzzy numbers
Authors: Abbasbandy, S.; Hajighasemi, S.
Year: 2010
Citation: Communications in Computer and Information Science, DOI: 10.1007/978-3-642-14058-7_39
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Title: Application of Gaussian quadratures in solving fuzzy Fredholm integral equations
Authors: Khezerloo, M.; Allahviranloo, T.; Salahshour, S.; Kiasari, M.K.; Ghasemi, S.H.
Year: 2010
Citation: Communications in Computer and Information Science, DOI: 10.1007/978-3-642-14058-7_50
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Title: Existence and uniqueness of solutions of fuzzy Volterra integro-differential equations
Authors: Hajighasemi, S.; Allahviranloo, T.; Khezerloo, M.; Khorasany, M.; Salahshour, S.
Year: 2010
Citation: Communications in Computer and Information Science, DOI: 10.1007/978-3-642-14058-7_51
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Title: Expansion method for solving fuzzy Fredholm-Volterra integral equations
Authors: Khezerloo, S.; Allahviranloo, T.; Ghasemi, S.H.; Salahshour, S.; Khezerloo, M.; Kiasary, M.K.
Year: 2010
Citation: Communications in Computer and Information Science, DOI: 10.1007/978-3-642-14058-7_52
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Title: Numerical solution of algebraic fuzzy equations by Adomian method
Authors: Hajighasemi, S.; Khorasani, S.M.
Year: 2010
Citation: Applied Mathematical Sciences, EID: 2-s2.0-79251580267
Conclusion
Dr. Saeide Hajighasemi exemplifies a dedicated scholar whose contributions in mathematics and artificial intelligence bridge theory with application. With a solid academic foundation, diverse teaching and research experiences, and impactful publications, she has significantly advanced the fields of fuzzy systems, computational intelligence, and interdisciplinary applications. Her active participation in international conferences and professional communities reflects her leadership and commitment to global collaboration. As an IEEE WIE member and author of several books, she continues to mentor, inspire, and expand knowledge in her domain. Equipped with strong research skills and a vision for innovation, she stands out as a promising leader whose future contributions will further strengthen the role of mathematics and artificial intelligence in solving complex scientific and societal challenges.