Ahmad Kamandi | Optimization | Best Researcher Award

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Dr. Ahmad Kamandi | Optimization | Best Researcher Award

Ahmad Kamandi is an accomplished researcher in applied mathematics, specializing in optimization algorithms and numerical analysis. He is currently affiliated with the Department of Mathematics at the University of Science and Technology of Mazandaran, Iran. His work focuses on developing novel algorithms for solving nonlinear equations, variational inequalities, and optimization problems. With numerous publications in high-impact journals, Kamandi has significantly contributed to computational mathematics and machine learning applications. His research interests include trust-region methods, projection-based algorithms, and support vector machines. Over the years, he has collaborated with leading researchers to advance mathematical optimization techniques. Kamandi’s expertise extends to signal processing, image retrieval, and deep learning applications. His academic excellence is reflected in his outstanding rankings and awards during his undergraduate and graduate studies. He actively contributes to mathematical research and continues to push the boundaries of computational problem-solving. 📚🔢

Profile

Education 🎓

Ahmad Kamandi holds a Ph.D. in Applied Mathematics from Razi University, Kermanshah, Iran (2011-2015), where he developed modified trust-region methods for optimization under the supervision of Prof. Keyvan Amini. He earned his M.Sc. in Applied Mathematics from Sharif University of Technology, Tehran (2008-2011), focusing on Lagrangian methods for degenerate nonlinear programming, guided by Prof. Nezam Mahadadi Amiri. His academic journey began at Razi University, where he completed a B.Sc. in Applied Mathematics (2004-2008). His exceptional academic performance placed him at the top of his class in both undergraduate and Ph.D. programs. His expertise spans optimization algorithms, variational inequalities, and numerical methods, forming the foundation for his extensive research contributions. Kamandi’s education has equipped him with the skills necessary to develop innovative solutions for complex mathematical and computational problems. 📖

Research Interests 🔬

Ahmad Kamandi’s research centers on optimization algorithms, numerical methods, and computational mathematics. His expertise includes trust-region methods, inertial projection-based algorithms, and variational inequalities, with applications in signal processing, image retrieval, and machine learning. His work extends to support vector machines, hyper-parameter tuning, and monotone equation solving, impacting fields like AI and engineering. His notable contributions include developing novel inertial proximal algorithms and hybrid conjugate gradient methods. His recent studies focus on binary classification, hierarchical variational inequalities, and the intersection of optimization and deep learning. With numerous publications in leading journals, Kamandi continuously refines mathematical models for real-world applications. His research has practical implications in data science, financial modeling, and computational engineering, bridging the gap between theoretical mathematics and applied problem-solving. His contributions drive innovation in solving large-scale mathematical problems efficiently. 📊

Awards & Recognitions 🏅

Ahmad Kamandi has received multiple academic accolades, highlighting his excellence in mathematics. In 2012, he secured First Place in the Ph.D. Program at Razi University with an outstanding GPA of 19.26/20. In 2010, he was ranked Second in the M.Sc. Program at Sharif University of Technology with a GPA of 18.92/20. His academic brilliance was evident early on when he ranked 73rd out of 10,763 candidates in Iran’s Nationwide Master’s Examination (2008). Additionally, he achieved First Place in the B.Sc. Program at Razi University with a GPA of 16.85/20. These awards underscore his dedication to mathematical research and his ability to excel in rigorous academic environments. His outstanding performance has positioned him as a leading expert in applied mathematics, contributing to the advancement of optimization and computational methods. 🏅🎖️

Publications 📚

  • A novel projection-based method for monotone equations with Aitken Δ2 acceleration and its application to sparse signal restoration

    Applied Numerical Mathematics
    2025-07 | Journal article
    DOI: 10.1016/j.apnum.2025.02.013
    CONTRIBUTORS: Ahmad Kamandi

  • Relaxed-inertial derivative-free algorithm for systems of nonlinear pseudo-monotone equations

    Computational and Applied Mathematics
    2024-06 | Journal article
    DOI: 10.1007/s40314-024-02673-y
    CONTRIBUTORS: Abdulkarim Hassan Ibrahim; Sanja Rapajić; Ahmad Kamandi; Poom Kumam; Zoltan Papp

  • A NOVEL ALGORITHM FOR APPROXIMATING COMMON SOLUTION OF A SYSTEM OF MONOTONE INCLUSION PROBLEMS AND COMMON FIXED POINT PROBLEM

    Journal of Industrial and Management Optimization
    2023 | Journal article
    DOI: 10.3934/jimo.2021210

    EID:

    2-s2.0-85140006988

    Part of ISSN: 1553166X 15475816
    CONTRIBUTORS: Eslamian, M.; Kamandi, A.

Mai Anh Bui | Plastic Surgeon in Developing countries | Best Researcher Award

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Prof Dr. Mai Anh Bui | Plastic Surgeon in Developing countries | Best Researcher Award

 

Profile

Education

Dr. Mai Anh Bui is a consultant Plastic Surgeon and Vice Chief of Scientific Research Department at Viet Duc University Hospital from Vietnam. She is also Assist. Professor at Hanoi Medical University and University of Medicine and Pharmacy, Vietnam National University. She completed a plastic surgery residency in 2006. Her specialty is to contribute to restoring the patients’ peripheral nerve injury and reconstruction of the patients with craniomaxillofacial surgery and head & neck reconstructions. In particular, she also specializes in facial paralysis with over 200 patients. Her Ph.D. is on the Using Masseteric nerve in Facial Reanimation. She has published over 60 articles in domestic and international journals.She refined her microsurgical skills by visiting several prestigious Institutions: Royal North Shore Hospital, Sydney University, Australia, Asan Hospital, Seoul, Korea, SickKids Hospital, Toronto, Canada, and craniofacial skills in Chang Gung Memorial Hospital, Taiwan.

Work experience

She has successfully completed [X] research projects and is currently working on [Y] ongoing projects. Her contributions to research are reflected in her citation index in reputed databases such as SCI and Scopus. She has been actively involved in [X] consultancy and industry-sponsored projects, demonstrating her expertise in applying research to real-world challenges. Additionally, she has authored [X] books with ISBN numbers and has contributed to intellectual property development with [X] patents published or under process. With [X] research articles published in indexed journals, she has made a significant impact in her field. She also holds editorial positions in [journals/conferences], further showcasing her leadership in scholarly publishing. Throughout her career, she has collaborated with esteemed national and international institutions, contributing to groundbreaking advancements in her research domain.

Publication

  • Outcome of using the spinal accessory nerve for functional muscle innervation in facial paralysis reconstruction: The first two cases in Vietnam and literature review

    Vietnam Journal of Endolaparoscopic Surgey
    2022-10-25 | Journal article | Author
    DOI: 10.51199/vjsel.2022.4.3
    Part ofISSN: 1859-4506
    CONTRIBUTORS: Mai Anh Bui; Trung Trực Vũ

  • Outcome of repairing posterior interosseous nerve (PIN) injury

    Vietnam Journal of Endolaparoscopic Surgey
    2022-08-15 | Journal article
    DOI: 10.51199/vjsel.2022.3.8
    Part ofISSN: 1859-4506
    CONTRIBUTORS: Mai Anh Bui; Tran Xuan Thach, Vu Trung Truc

  • Reconstruction of upper extremity defect by using Superficial circumflex iliac artery perforator (SCIP) free flap: 03 cases and literature review

    Vietnam Journal of Endolaparoscopic Surgey
    2022-03-15 | Journal article
    DOI: 10.51199/vjsel.2022.1.9
    Part of ISSN: 1859-4506

Longqing Cui | Operations research | Best Researcher Award

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Dr. Longqing Cui | Operations research | Best Researcher Award

 

Profile

Education

He pursued a Doctorate in Management Science and Engineering at Hefei University of Technology. Additionally, from November 2021 to November 2022, he was a jointly-supervised doctoral student in Operations and Business Analytics at The Ohio State University. Prior to his doctoral studies, he completed a Bachelor’s degree in Mathematics and Applied Mathematics at Hefei University of Technology from September 2013 to June 2017.

Work experience

He has been serving as a Lecturer at Alibaba Business School, Hangzhou Normal University. His research focuses on high-end equipment development and collaborative decision-making in manufacturing. He is the Principal Investigator (PI) for two ongoing projects. The first, funded by the Ministry of Education of the People’s Republic of China under the Youth Fund Project of Humanities and Social Sciences Research (Project No. 24YJC630030), explores collaborative decision-making for high-end equipment development resources in real-time production planning, running from January 2025 to December 2027 with a budget of 80,000 yuan. The second project, supported by the Zhejiang Provincial Natural Science Foundation Committee under the Youth Fund Project (Project No. LQN25G010007), investigates collaborative scheduling for high-end equipment development in distributed manufacturing enterprises within dynamic environments. This project runs from January 2025 to December 2026, with a funding of 60,000 yuan.

Publication

  • 1] Longqing Cui; Xinbao Liu; Shaojun Lu; Zhaoli Jia. A variable neighborhood
    search approach for the resource – constrained multi – project collaborative
    scheduling problem. Applied Soft Computing, 2021, 107:107480. (Journal Article)
    (Q1, First Author)
  • 2] Weijie Wang; Zhehang Xu; Shijia Hua; Longqing Cui; Jianlin Zhang; Fanyuan
    Meng. Threshold – initiated spatial public goods games. Chaos, Solitons & Fractals,
    2024, 184:115003. (Q1, Corresponding Author)
  • Zhehang Xu; Xu Liu; Hainan Wang; Longqing Cui; Xiao – Pu Han; Fanyuan Meng.
    Free – rider or contributor: A dilemma in spatial threshold public goods games.
    Chaos, Solitons & Fractals, 2024, 187:115455. (Q1, Corresponding Author)
  • Lei Chen; Yanpeng Zhu; Jiadong Zhu; Longqing Cui; Zhongyuan Ruan; Michael
    Small; Kim Christensen; Run – Ran Liu; Fanyuan Meng. A simple model of global
    cascades on random hypergraphs. Chaos, Solitons and Fractals, 2025, 193(116081).
    (Q1, Corresponding Author)
  • Che Xu; Yingming Zhu; Peng Zhu; Longqing Cui. Meta – learning – based sample
    discrimination framework for improving dynamic selection of classifiers under
    label noise. Knowledge – Based Systems, 2024, 295:111811. (Q1)