Kamal Aziziheris | Algebra | Best Researcher Award

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Prof. Kamal Aziziheris | Algebra | Best Researcher Award

Professor at University of Tabriz, Iran

Prof. Kamal Aziziheris, Professor of Mathematics at the University of Tabriz, is a leading expert in Group Representation Theory, specializing in the Character Theory of Finite Groups. He earned his Ph.D. from Kent State University, USA, and has since contributed extensively to the field through influential research, international collaborations, and high-impact publications in prestigious journals such as Journal of Algebra and Communications in Algebra. His academic journey spans notable research visits to Texas State University and the American University of Beirut, alongside mentoring multiple Ph.D. and M.Sc. students. An active reviewer for top journals and an AMS/zbMath reviewer, he plays a vital role in advancing global mathematical knowledge. Prof. Aziziheris’s scholarly excellence, leadership, and dedication to mathematical research make him a distinguished figure in the academic community.

Professional Profile

Google Scholar | Scopus Profile | ORCID Profile 

Education

Prof. Kamal Aziziheris earned his B.Sc. in Mathematics from the University of Tabriz and M.Sc. in Mathematics from the University of Tehran. He later pursued his Ph.D. in Mathematics at Kent State University, USA, specializing in Group Representation Theory under Prof. Mark L. Lewis. His doctoral research focused on determining group structure from the sets of character degrees, a significant topic in algebra. Following his Ph.D., he undertook a Postdoctoral Fellowship at Texas State University, further refining his expertise. His educational journey, marked by academic excellence and prestigious fellowships, provided a solid foundation for his distinguished research career, combining deep theoretical insight with a commitment to mathematical advancement on both national and international levels.

Experience

With over two decades in academia, Prof. Kamal Aziziheris has held roles from Lecturer to Full Professor at the University of Tabriz. His career also includes Postdoctoral Researcher at Texas State University and Visiting Assistant Professor at the American University of Beirut. He has supervised 4 Ph.D. and 16 M.Sc. students in pure mathematics, taught diverse mathematics courses, and led advanced seminars in finite group theory. His experience extends internationally, with research visits to prestigious institutions and invited talks at major conferences. As a reviewer for leading journals and AMS/zbMath, he actively contributes to the global research community. His professional journey reflects consistent growth, leadership, and impactful contributions to both teaching and mathematical research.

Research Interest

Prof. Kamal Aziziheris’s primary research lies in Group Representation Theory, with a focus on the Character Theory of Finite Groups. His work explores the intricate relationship between group structure and the set of irreducible character degrees, particularly in solvable and nonsolvable groups. He has addressed key problems related to direct products, solvability criteria, and degree graphs, producing results published in high-impact journals such as Journal of Algebra and Communications in Algebra. His research also ventures into quantum algebra structures, reflecting a broad yet deep mathematical vision. With ongoing projects on conjectures like Isaacs–Seitz and Huppert’s, Prof. Aziziheris continues to push theoretical boundaries, while his collaborative approach fosters meaningful exchanges with mathematicians worldwide, enhancing the impact and reach of his scholarly work.

Award and Honor

Prof. Kamal Aziziheris has earned numerous accolades recognizing his research excellence and teaching distinction. During his Ph.D. at Kent State University, he received the Fellowship Award, Graduate Student Senate Dissertation Award, and the Phi Beta Award for academic excellence. He also won the Chairman’s Award for Excellence in Teaching at the University of Tabriz and secured top positions in national mathematics competitions, including First Prize in Algebra Problems at the 23rd Annual Universities Contest. Earlier in his career, he earned the Institute for Studies in Theoretical Physics and Mathematics Fellowship and prizes in the Iranian Mathematical Olympiad. These honors reflect not only his intellectual achievements but also his dedication to high-quality teaching, mentorship, and advancing mathematical knowledge both nationally and internationally.

Research Skill

Prof. Kamal Aziziheris possesses exceptional skills in algebraic problem-solving, abstract reasoning, and advanced mathematical proof construction. His expertise in group theory enables him to analyze and characterize the structural properties of finite groups through irreducible character degrees. He is adept at handling complex computations using Magma, and proficient in LaTeX for professional academic writing. His research skills encompass formulating conjectures, devising proof strategies, and applying theoretical results to broader algebraic frameworks. As a peer reviewer for major journals, he demonstrates sharp analytical judgment and attention to detail. These abilities, coupled with his strong collaborative and mentorship skills, allow him to lead impactful research projects and guide emerging mathematicians toward producing high-quality, publishable work in the global mathematical community.

Publication Top Notes

  • Title: Computerized techniques pave the way for drug-drug interaction prediction and interpretation
    Authors: R Safdari, R Ferdousi, K Aziziheris, SR Niakan-Kalhori, Y Omidi
    Year: 2016
    Citations: 45

  • Title: The quantum group SLq⋆(2) and quantum algebra Uq (sl2⋆) based on a new associative multiplication on 2×2 matrices
    Authors: K Aziziheris, H Fakhri, S Laheghi
    Year: 2020
    Citations: 8

  • Title: Determining group structure from the sets of character degrees
    Authors: K Aziziheris
    Year: 2010
    Citations: 8

  • Title: Simple groups with few irreducible character degrees
    Authors: K Aziziheris, F Shafiei, F Shirjian
    Year: 2021
    Citations: 7

  • Title: Some character degree conditions implying solvability of finite groups
    Authors: K Aziziheris
    Year: 2013
    Citations: 7

  • Title: Taketa’s theorem for some character degree sets
    Authors: K Aziziheris, ML Lewis
    Year: 2013
    Citations: 5

  • Title: A direct product coming from a particular set of character degrees
    Authors: K Aziziheris
    Year: 2011
    Citations: 4

  • Title: Bounding the derived length for a given set of character degrees
    Authors: K Aziziheris
    Year: 2011
    Citations: 4

  • Title: Taketa’s theorem for relative character degrees
    Authors: K Aziziheris
    Year: 2013
    Citations: 3

  • Title: Variations on average character degrees and solvability
    Authors: N Ahanjideh, Z Akhlaghi, K Aziziheris
    Year: 2024
    Citations: 2

  • Title: Some character degree sets implying nonsolvability
    Authors: K Aziziheris
    Year: 2020
    Citations: 2

  • Title: Some nonsolvable character degree sets
    Authors: K Aziziheris
    Year: 2019
    Citations: 2

  • Title: Some solvable character degree sets
    Authors: K Aziziheris, MH Salmani Yengejeh
    Year: 2017
    Citations: 2

  • Title: Finite groups with a given set of character degrees
    Authors: F Shafiei, A Iranmanesh, ML Lewis, K Aziziheris
    Year: 2016
    Citations: 2

  • Title: Variations on average character degrees and solvability
    Authors: N Ahanjideh, Z Akhlaghi, K Aziziheris
    Year: 2022
    Citations: 1

Conclusion

Prof. Kamal Aziziheris embodies the qualities of an outstanding mathematician—intellectual rigor, global collaboration, and academic leadership. His groundbreaking contributions to Group Representation Theory have advanced the understanding of finite group structures, while his prolific publications in leading journals underscore his research impact. Equally dedicated to teaching, he has nurtured the growth of numerous graduate students, leaving a lasting influence on the mathematical community. His active participation in conferences, peer reviewing, and editorial contributions reflects his commitment to strengthening scholarly networks worldwide. With ongoing projects addressing significant conjectures and his readiness to explore interdisciplinary applications, Prof. Aziziheris’s future holds promise for further advancements in mathematics. His career achievements and dedication make him a deserving figure for prestigious recognitions such as the Best Researcher Award.

Yajuan Sun | Computational Mathematics | Best Researcher Award

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Prof. Yajuan Sun | Computational Mathematics | Best Researcher Award

Researcher at Academy of Mathematics and Systems Science, CAS, China

Professor Yajuan Sun is a distinguished mathematician at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), specializing in geometric numerical methods for differential equations with applications in plasma physics, molecular dynamics, and soliton theory. With a Ph.D. from CAS and over two decades of academic excellence, she has led 14 major research projects, including national and international collaborations such as the ITER fusion project. Her 49+ peer-reviewed publications in top-tier journals, mentorship of numerous graduate students, and global academic engagements—spanning the UK, USA, Singapore, and Australia—reflect her influential contributions to both theory and applied science. Her innovative algorithms have been used in major fusion reactor simulations and were shortlisted for the ACM Gordon Bell Prize. Prof. Sun exemplifies leadership, innovation, and global impact in computational mathematics.

Professional Profile

Scopus Profile | ORCID Profile 

Education

Professor Yajuan Sun holds a Ph.D. in Mathematics from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), where she developed variational integrators under the guidance of Prof. Mengzhao Qin. Prior to that, she earned her M.S. in Mathematics from Inner Mongolia University, where she focused on nonlinear parabolic equations. Her academic journey began with a B.S. in Mathematics from Inner Mongolia Normal University. Her early research laid the foundation for a lifelong specialization in numerical methods and geometric integrators. These academic credentials from top Chinese institutions shaped her deep understanding of both theoretical and computational mathematics, enabling her to build a globally recognized career in numerical analysis, with a focus on preserving geometric structures in the solutions of differential equations.

Experience

Professor Sun’s academic career spans over two decades at the Chinese Academy of Sciences, where she currently serves as a Professor at the Academy of Mathematics and Systems Science. She began as a Postdoctoral Researcher and has steadily advanced through roles as Assistant and Associate Professor. Internationally, she has been a Visiting Scholar at prestigious institutions including the Isaac Newton Institute (UK), UCSD (USA), and the National University of Singapore. Her collaborations span Europe, Oceania, and Asia, reflecting a robust international presence. She has supervised numerous graduate and visiting students, served as a referee for reputed journals, and contributed to a range of scientific platforms. Her sustained dedication and interdisciplinary work have made her a key contributor to applied and theoretical research within global scientific communities.

Research Interest

Professor Yajuan Sun’s research lies in geometric numerical integration, focusing on the development of algorithms that preserve intrinsic structures in differential equations—such as symplectic, volume-preserving, and energy-conserving properties. She explores advanced numerical techniques for both ODEs and PDEs, using variational principles, Hamiltonian systems, and generating functions. Her work applies to complex systems such as plasma dynamics, molecular simulations, and electromagnetic field modeling. She integrates finite element methods with geometric approaches to solve large-scale, stiff problems arising from science and engineering. Her ongoing interests include adaptive schemes, multisymplectic theory, and numerical stability. The elegance of preserving physical laws in simulations is at the heart of her research, contributing both to theoretical advancement and real-world scientific modeling in fusion energy and particle dynamics.

Award and Honor

Professor Sun has received notable honors, including the Excellent Achievement Award in Natural Science and funding from the K.C. Wong Education Foundation for Excellent Female Scientists. She has led or participated in prestigious projects funded by the National Natural Science Foundation of China, the ITER Project, and international programs like the Royal Society’s cost-share exchange. Her work was integral to a simulation shortlisted for the ACM Gordon Bell Prize, one of the highest recognitions in high-performance computing. These accolades reflect her pioneering role in computational mathematics, the global relevance of her research, and her impact as a female leader in STEM. Her sustained excellence across theory, application, and mentorship has earned her respect in both Chinese and international scientific circles.

Research Skill

Professor Yajuan Sun excels in designing structure-preserving numerical algorithms for large-scale systems modeled by differential equations. She is proficient in symplectic and multisymplectic integrators, generating function techniques, Runge–Kutta methods, and volume-preserving schemes. Her computational expertise extends to adaptive time-stepping, Hamiltonian splitting, and hybrid solvers used in plasma and electromagnetic field modeling. She integrates theoretical rigor with practical algorithm design, validated through real-world simulations such as those of fusion reactors (EAST, CFETR). Her collaborative work across mathematics and physics showcases her ability to bridge domains using high-level programming, numerical modeling, and mathematical physics. She also reviews and edits scientific publications, mentors graduate research, and contributes to algorithmic theory in cutting-edge computational science.

Publication Top Notes

  • Title: Contact-PIC Numerical Methods for Simulating Vlasov–Poisson–Fokker–Planck Problem
    Authors: Yajuan Sun
    Year: 2022

  • Title: Numerical Analysis for a Class of Variational Integrators
    Authors: Yajuan Sun, et al.
    Year: 2025

  • Title: Geometric Integration for the Linear-Gradient System
    Authors: Yajuan Sun, et al.
    Year: 2025

  • Title: Hamiltonian Particle-in-Cell Methods for Vlasov–Poisson Equations
    Authors: Yajuan Sun, et al.
    Year: 2022
    Citations: 7

Conclusion

Professor Yajuan Sun stands out as a leading mathematician whose research bridges theoretical innovation and practical scientific impact. With an outstanding academic record, influential publications, and significant research grants, she has made enduring contributions to geometric numerical methods and their application in plasma physics and beyond. Her ability to integrate structure-preserving algorithms into simulations of complex physical systems has driven advancements in computational modeling. Through global collaborations, student mentorship, and editorial service, she contributes actively to the scientific community. With ongoing research in adaptive and energy-conserving numerical methods, Professor Sun is poised to further influence the future of scientific computing, making her an exemplary candidate for the Best Researcher Award and a role model in the mathematical sciences.

Sedaghat Shahmorad Moghanlou | Applied Mathematics | Best Researcher Award

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Prof. Sedaghat Shahmorad Moghanlou | Applied Mathematics | Best Researcher Award

Applied Math. Department at University of Tabriz, Iran

Prof. Sedaghat Shahmorad 🎓, a distinguished scholar in Applied Mathematics at the University of Tabriz 🇮🇷, specializes in numerical analysis, particularly integro-differential equations. With over two decades of academic experience 🧠, he has significantly contributed to the field through extensive teaching, research, and leadership. He has supervised numerous M.Sc. and Ph.D. theses 🎓📚 and authored multiple scholarly books and impactful journal articles 📖📝. His work on the Tau method and approximation techniques has earned recognition in computational mathematics 🧮. As Head of the Applied Mathematics Department and former Dean, he has demonstrated strong administrative and academic leadership 👨‍🏫📊. Prof. Shahmorad’s dedication to advancing numerical methods and mentoring future mathematicians makes him a highly deserving candidate for the Best Researcher Award 🏆🔬.

Professional Profile 

Education 🎓📘

Prof. Sedaghat Shahmorad earned his B.Sc. in Applied Mathematics from the University of Tabriz 🇮🇷, followed by an M.Sc. and Ph.D. in Numerical Analysis from the same institution. His academic journey has been marked by excellence in mathematical modeling and computational theory 📊. With a solid foundation in numerical methods and integro-differential equations, he developed deep expertise in solving complex mathematical problems 💡. Throughout his academic training, Prof. Shahmorad received high honors, standing out for his analytical acumen and innovation 🧠. His commitment to lifelong learning and scholarly development has shaped a distinguished academic and research career, reinforcing his role as a leading expert in numerical mathematics 📐🔍.

Professional Experience 👨‍🏫🏢

Prof. Shahmorad brings over two decades of academic and leadership experience in Applied Mathematics at the University of Tabriz 🎓. He has served as the Head of the Department of Applied Mathematics and formerly as the Dean of the Faculty of Mathematical Sciences 🏛️. In addition to his teaching duties, he has led multiple research projects, supervised numerous postgraduate students, and contributed to curriculum development 📚. His strong leadership and mentorship have made a lasting impact on the academic community 👥. He has also participated in editorial boards, conferences, and international collaborations 🌐. His professional trajectory reflects his deep commitment to both teaching and research excellence, making him a vital contributor to the advancement of numerical mathematics 🔬📈.

Research Interest 🔍📐

Prof. Shahmorad’s research focuses on numerical analysis, especially the development of efficient methods for solving integro-differential and delay differential equations 🔢. He is renowned for his work on Tau methods, spectral techniques, and high-order approximation algorithms, which have broad applications in engineering, physics, and applied sciences ⚙️🌌. His studies aim to bridge theoretical rigor with computational feasibility, providing tools for real-world problem-solving 💻📊. He also explores fractional calculus, integral transforms, and mathematical modeling of dynamic systems. His interdisciplinary research contributes significantly to advancing both applied and pure mathematical domains 📘🧪. Prof. Shahmorad’s innovative methodologies continue to influence emerging trends in computational mathematics and inspire the next generation of researchers around the globe 🌍.

Award and Honor 🏆🎖️

Prof. Sedaghat Shahmorad has received multiple awards and honors recognizing his academic excellence, innovative research, and outstanding mentorship 🏅📚. Notably, he has been acknowledged as a Top Researcher at the University of Tabriz and by national science organizations in Iran 🇮🇷. His contributions to numerical mathematics, especially in solving integro-differential equations, have earned accolades from peer-reviewed journals and international conference bodies 🧾🌟. He has also received honors for excellence in teaching and student supervision, highlighting his role as a mentor par excellence 👨‍🏫🌱. These awards are a testament to his impactful research output, dedication to knowledge dissemination, and continued service to the academic community 🎓🧠.

Research Skill 🧠💻

Prof. Shahmorad possesses advanced skills in mathematical modeling, numerical simulations, and algorithm development. He is proficient in implementing spectral and collocation methods, particularly the Tau method, to tackle complex integro-differential systems with precision 🔢📈. His expertise extends to fractional differential equations, delay systems, and applied analysis using computational tools like MATLAB and Mathematica 🖥️⚙️. With a strong command over linear algebra, integral transforms, and functional analysis, he develops robust algorithms that are widely cited and applied in science and engineering 🔍📚. His problem-solving approach blends theoretical insight with computational strategy, fostering innovation and practical applications in numerical mathematics 📘🚀.

Publications Top Note 📝

  • Title: Solving a class of auto-convolution Volterra integral equations via differential transform method
    Authors: Sedaghat Shahmorad, et al.
    Year: 2025
    Source: Journal of Mathematical Modeling

  • Title: Approximate solution of multi-term fractional differential equations via a block-by-block method
    Authors: Sedaghat Shahmorad, et al.
    Year: 2025
    Citations: 1
    Source: Journal of Computational and Applied Mathematics

  • Title: Convergence analysis of Jacobi spectral tau-collocation method in solving a system of weakly singular Volterra integral equations
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Citations: 1
    Source: Mathematics and Computers in Simulation

  • Title: Theoretical and numerical analysis of a first-kind linear Volterra functional integral equation with weakly singular kernel and vanishing delay
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Citations: 1
    Source: Numerical Algorithms

  • Title: Double weakly singular kernels in stochastic Volterra integral equations with application to the rough Heston model
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Source: Applied Mathematics and Computation

  • Title: Existence, uniqueness and blow-up of solutions for generalized auto-convolution Volterra integral equations
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Source: Applied Mathematics and Computation

  • Title: The application of fuzzy transform method to the initial value problems of linear differential–algebraic equations
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Source: Mathematical Sciences

  • Title: Solving fractional differential equations using cubic Hermit spline functions
    Authors: Sedaghat Shahmorad, et al.
    Year: 2024
    Source: Filomat (Open Access)

  • Title: Solving 2D-integro-differential problems with nonlocal boundary conditions via a matrix formulated approach
    Authors: Sedaghat Shahmorad, et al.
    Year: 2023
    Citations: 1
    Source: Mathematics and Computers in Simulation

  • Title: Review of recursive and operational approaches of the Tau method with a new extension
    Authors: Sedaghat Shahmorad, et al.
    Year: 2023
    Source: Computational and Applied Mathematics

Conclusion ✨📜

Prof. Sedaghat Shahmorad stands as a prominent figure in numerical analysis, combining deep theoretical knowledge with computational expertise 🌐📊. His dedication to teaching, mentoring, and advancing numerical methodologies has significantly shaped the field and inspired scholars across disciplines 🧠🎓. With a rich portfolio of research, leadership roles, and academic honors, he exemplifies excellence in mathematics and its real-world applications 🧾🏅. His work not only contributes to scientific understanding but also provides tools for innovation across technology and engineering sectors 🧬⚙️. As a visionary academic and skilled researcher, Prof. Shahmorad continues to influence future directions in computational and applied mathematics with distinction 🌟📘.

Misha Urooj Khan | Applied Mathematics | Best Researcher Award

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Prof. Misha Urooj Khan | Applied Mathematics | Best Researcher Award

AM (Tech) at CERN, Pakistan

Prof. Misha Urooj Khan is an accomplished electronics engineer and researcher whose multifaceted expertise spans embedded systems, quantum computing, AI/ML, and cybersecurity. 🎓 With a master’s degree focused on FPGA-based real-time SLAM and extensive experience at CERN, NCP, COMSATS, and UET, she has authored 10 journal papers, 17 conference articles, and earned 658 citations. 💡 Her work includes groundbreaking innovations like drone-resistant cryptography, AI-driven healthcare devices (USteth, ThalaScreen), and predictive analytics for disaster management. 🛰️ As an inventor on a patented drone-detection system and mentor to numerous interns and students across global institutions, she demonstrates strong leadership and social impact. 🌍 Recognized with awards and competitive startup funding, Prof. Khan’s strategic vision and interdisciplinary contributions make her a standout candidate for the Best Researcher Award. 🏆

Professional Profile

📚 Education

Professor Misha Urooj Khan holds a Master’s degree in Electronics Engineering from the University of Engineering & Technology Taxila (2019–2022), specializing in real-time FPGA-based Simultaneous Localization and Mapping (SLAM). She earned her B.Sc. in Electronics Engineering (2015–2019) from the same institution, focusing on embedded systems, FPGA design, and neural networks, and implemented an automatic wheezing detection system for her thesis. With a solid grounding in both hardware and software design, she developed strong analytical and technical skills in digital design, signal processing, and machine learning. Her rigorous academic training laid the foundation for her multidisciplinary research career, enabling seamless integration of theory and application across quantum computing, AI-enhanced embedded systems, cyber‑physical systems, and robotics. These educational credentials articulate her commitment to innovation and technology-driven problem solving.

💼 Professional Experience

Professor Khan’s career spans internationally recognized institutions such as CERN, NCP, COMSATS, UET, and King Fahd University. As a Software Developer for CERN’s CMS experiment (2024–2025), she developed database schemas, business logic, and automated migrations, contributing to high-performance scientific computing environments. At Open Quantum Initiative and NCP (2023–2026), she implemented quantum machine learning, error mitigation techniques, sensor-fusion robotics, and AI-driven predictive systems. Her research at COMSATS (2022) focused on intelligent UAV detection using edge devices. Earlier roles included designing biomedical signal-processing systems and embedded real-time detection boards (UET Taxila, 2018–2022). Recently, at King Fahd University, she’s spearheading lightweight, quantum-resistant cybersecurity protocols for drones. Across each role, she has demonstrated exceptional technical proficiency, leadership in mentoring interns, and impactful contributions to system deployment, publication, and product innovation.

🔬 Research Interests

Professor Khan’s research spans quantum computing, artificial intelligence, embedded systems, and cybersecurity—integrating these domains to solve complex real-world problems. Within quantum computing, she investigates noise modeling, error mitigation, quantum machine learning (QSVM, QNN, VQC), and oracle‑based functions on IBM quantum processors. Her AI/ML projects include domain-generalized image translation frameworks like R2TGenNet and T2RGenNet, predictive fault‑diagnosis for rotary equipment, YOLO-based object detection, and AI‑enhanced decision support. In embedded systems, she specializes in FPGA‑based SLAM, real‑time sensor fusion (LiDAR, RGB/depth cameras, IMU), and custom hardware for biomedical signal acquisition. Her current interest lies in quantum‑resistant cryptographic protocols tailored for UAV communication systems. She is passionate about bridging quantum‑AI with cybersecurity to enable secure, intelligent, and autonomous applications across healthcare, robotics, disaster response, and aerospace.

🏅 Awards and Honors

Professor Khan has earned recognition across academia, innovation, and professional excellence. She holds 658 citations (2025) and was awarded 2nd place for her presentation on “Noise Modeling and Error Mitigation on Quantum Computers” at ICTP Trieste, March 2024. Other distinctions include runner-up in the PMNIA startup pitching (June 2023), Best Presenter shields at IBCAST’23 and IEEC’21, and funding awards for USteth and ThalaScreen prototypes (2022). Her startup PAK‑AeroSafe qualified at regional and national levels and achieved runner-up status at Hackathon’23 (February 2023). Academic engagement includes first positions in university fairs (2019), community science awards since 2012, and multiple national scholastic honors. These accolades highlight her consistent excellence in research, presentation, innovation, and community engagement.

🛠️ Research Skills

Professor Khan possesses a versatile and comprehensive set of skills across computing, hardware design, and data science. She is adept in FPGA/embedded system design (Verilog/VHDL), real‑time algorithm development, and robotics navigation with ROS and Jetson hardware. Her ML proficiency spans classic and deep learning (SVM, KNN, RF, YOLOv5-v11, VGG16/19, GANs, Autoencoder), and she designs bespoke frameworks (R2TGenNet, T2RGenNet). In quantum research, she handles noise modeling, quantum gate design, error mitigation, oracle functions, and algorithm implementation on IBM quantum simulators and hardware. She also excels in sensor fusion (LiDAR/IMU/RGB/Depth), GUI creation, digital signal processing, and AI-based healthcare tools. Her programming languages include Python, Qiskit, MATLAB, and Linux-based deployment, complemented by strong skills in mentoring, proposal writing, and cross-disciplinary collaboration.

Publications Top Notes 📝

  • Title: A comparative survey of lidar-slam and lidar based sensor technologies
    Authors: MU Khan, SAA Zaidi, A Ishtiaq, SUR Bukhari, S Samer, A Farman
    Year: 2021
    Citations: 156
    Source: Mohammad Ali Jinnah University International Conference on Computing

  • Title: Artificial neural network-based cardiovascular disease prediction using spectral features
    Authors: MU Khan, S Samer, MD Alshehri, NK Baloch, H Khan, F Hussain, SW Kim, et al.
    Year: 2022
    Citations: 39
    Source: Computers and Electrical Engineering 101, Article 108094

  • Title: Classification of eye diseases and detection of cataract using digital fundus imaging (DFI) and inception-V4 deep learning model
    Authors: A Raza, MU Khan, Z Saeed, S Samer, A Mobeen, A Samer
    Year: 2021
    Citations: 34
    Source: 2021 International Conference on Frontiers of Information Technology (FIT)

  • Title: Safespace mfnet: Precise and efficient multifeature drone detection network
    Authors: MU Khan, M Dil, MZ Alam, FA Orakazi, AM Almasoud, Z Kaleem, C Yuen
    Year: 2023
    Citations: 33
    Source: IEEE Transactions on Vehicular Technology 73(3), 3106-3118

  • Title: Spectral analysis of lung sounds for classification of asthma and pneumonia wheezing
    Authors: SZH Naqvi, M Arooj, S Aziz, MU Khan, MA Choudhary
    Year: 2020
    Citations: 31
    Source: 2020 International Conference on Electrical, Communication, and Computer

  • Title: Supervised machine learning based fast hand gesture recognition and classification using electromyography (EMG) signals
    Authors: MU Khan, H Khan, M Muneeb, Z Abbasi, UB Abbasi, NK Baloch
    Year: 2021
    Citations: 29
    Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

  • Title: A review of system on chip (SoC) applications in Internet of Things (IoT) and medical
    Authors: A Ishtiaq, MU Khan, SZ Ali, K Habib, S Samer, E Hafeez
    Year: 2021
    Citations: 28
    Source: ICAME21, International Conference on Advances in Mechanical Engineering

  • Title: Identification of leaf diseases in potato crop using Deep Convolutional Neural Networks (DCNNs)
    Authors: Z Saeed, MU Khan, A Raza, N Sajjad, S Naz, A Salal
    Year: 2021
    Citations: 23
    Source: 16th International Conference on Emerging Technologies (ICET)

  • Title: Classification of Multi-Class Cardiovascular Disorders using Ensemble Classifier and Impulsive Domain Analysis
    Authors: MU Khan, SZZ Ali, A Ishtiaq, K Habib, T Gul, A Samer
    Year: 2021
    Citations: 22
    Source: Mohammad Ali Jinnah University International Conference on Computing

  • Title: Automated system design for classification of chronic lung viruses using non-linear dynamic system features and k-nearest neighbour
    Authors: MU Khan, A Farman, AU Rehman, N Israr, MZH Ali, ZA Gulshan
    Year: 2021
    Citations: 22
    Source: Mohammad Ali Jinnah University International Conference on Computing

  • Title: Embedded system design for real-time detection of asthmatic diseases using lung sounds in cepstral domain
    Authors: MU Khan, A Mobeen, S Samer, A Samer
    Year: 2021
    Citations: 22
    Source: 6th International Electrical Engineering Conference (IEEC)

  • Title: Stability enhancement of commercial Boeing aircraft with integration of PID controller
    Authors: AU Rehman, MU Khan, MZH Ali, MS Shah, MF Ullah, M Ayub
    Year: 2021
    Citations: 21
    Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

  • Title: Classification of pulmonary viruses X-ray and detection of COVID-19 based on invariant of inception-V3 deep learning model
    Authors: Z Saeed, MU Khan, A Raza, H Khan, J Javed, A Arshad
    Year: 2021
    Citations: 19
    Source: 2021 International Conference on Computing, Electronic and Electrical

  • Title: Classification of phonocardiography based heart auscultations while listening to Tilawat-e-Quran and music using vibrational mode decomposition
    Authors: MU Khan, S Samer, A Samer, A Mobeen, A Arshad, H Khan
    Year: 2021
    Citations: 18
    Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)

  • Title: MSF-GhostNet: Computationally-Efficient YOLO for Detecting Drones in Low-Light Conditions
    Authors: M Misbah, MU Khan, Z Kaleem, A Muqaibel, MZ Alam, R Liu, C Yuen
    Year: 2024
    Citations: 5
    Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

  • Title: Multi-Sensor Fusion for Remote Sensing of Metallic and Non-metallic Object Classification in Complex Soil Environments and at Different Depths
    Authors: MU Khan, MA Kamran, WR Khan, MM Ibrahim, MU Ali, SW Lee
    Year: 2024
    Citations: 5
    Source: IEEE Transactions on Geoscience and Remote Sensing

  • Title: Mathematical Modelling and Implementation of 2DOF Standard, Parallel & Series PID Controllers
    Authors: AU Rehman, MU Khan, MT Rehman, W Shehzad, S Zaman, MW Khan
    Year: 2021
    Citations: 5
    Source: 6th International Multi-Topic ICT Conference (IMTIC)

  • Title: Diabetes Prediction Using an Optimized Variational Quantum Classifier
    Authors: WR Khan, MA Kamran, MU Khan, MM Ibrahim, KS Kim, MU Ali
    Year: 2025
    Citations: 4
    Source: International Journal of Intelligent Systems 2025 (1), Article 1351522

  • Title: Deep Learning Empowered Fast and Accurate Multiclass UAV Detection in Challenging Weather Conditions
    Authors: MU Khan, M Dil, M Misbah, FA Orakazi, MZ Alam, Z Kaleem
    Year: 2022
    Citations: 4
    Source: Conference Publication

  • Title: Brain Tumor Detection Based on Magnetic Resonance Imaging Analysis Using Segmentation, Thresholding and Morphological Operations
    Authors: MU Khan, H Khan, A Arshad, NK Baloch, A Shaheen, F Tariq
    Year: 2021
    Citations: 3
    Source: 6th International Multi-Topic ICT Conference (IMTIC)

  • Title: SMSAT: A Multimodal Acoustic Dataset and Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation
    Authors: A Suleman, Y Alkhrijah, MU Khan, H Khan, MAHA Faiz, MA Alawad, et al.
    Year: 2025
    Source: arXiv preprint arXiv:2505.00839

  • Title: Migration of CADI to Fence
    Authors: M Imran, MU Khan, RMA Shad, A Samantas, A Pfeiffer, J Closier
    Year: 2025

✅ Conclusion

Professor Misha Urooj Khan exemplifies a visionary researcher whose interdisciplinary breadth and leadership set her apart. With robust academic credentials, global professional experience at centers like CERN and NCP, and impactful publications and patents, she drives innovation in quantum-AI, embedded systems, robotics, and cybersecurity. Her product-oriented mindset—evident in startups like USteth and PAK‑AeroSafe—coupled with her mentoring of junior researchers, underscores both strategic vision and social impact. Her consistent accolades and scholarly presence (658 citations) affirm her research quality and influence. Combining groundbreaking technical achievements, real-world applications, and academic excellence, Professor Khan stands as a compelling candidate for top-tier research distinctions and awards.

Prantik Roy Chowdhury | Computational Mathematics | Best Researcher Award

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Dr. Prantik Roy Chowdhury | Computational Mathematics | Best Researcher Award

Post-Doctoral Associate at University of Minnesota-Duluth, United States

Dr. Prantik Roy Chowdhury is a distinguished researcher in mechanical engineering, specializing in PEM fuel cell technology 🔋, heat transfer and thermodynamics 🔥, and biomaterials 🧬. He completed his Ph.D. from North Dakota State University (NDSU) with a perfect GPA of 4.0 🎓. As a Postdoctoral Associate at the University of Minnesota-Duluth, he advances research in biofluids and thermo-fluid sciences. Dr. Chowdhury’s extensive experience includes both experimental and numerical studies in energy systems and materials science, with a focus on developing next-generation fuel cell technologies and biomedical applications. His contributions are evidenced by high-impact publications 📚, conference presentations 🎤, and hands-on leadership in laboratory and classroom settings. Dr. Chowdhury exemplifies academic excellence, innovation, and dedication, making him a strong contender for the Best Researcher Award 🏆.

Professional Profile 

Education 📚🎓

Dr. Prantik Roy Chowdhury holds a Ph.D. in Mechanical Engineering from North Dakota State University (NDSU), achieving a stellar GPA of 4.0 🌟. His academic journey began with a Bachelor of Technology (B.Tech.) from West Bengal University of Technology, where he excelled in Mechanical Engineering fundamentals. Passionate about research, he pursued advanced studies in PEM fuel cells, heat transfer, and thermofluids, building a solid theoretical foundation and hands-on laboratory skills 🔬. At NDSU, he conducted pioneering work in fuel cell technology, contributing significantly to the field’s academic and industrial advancement. Dr. Chowdhury’s educational background reflects his commitment to continuous learning and professional growth, positioning him as a leader in engineering research and innovation 🛠️.

Professional Experience 🛠️🏢

Dr. Prantik Roy Chowdhury is currently a Postdoctoral Associate at the University of Minnesota-Duluth, where he leads projects on biofluids and thermo-fluid sciences 🔬💡. Prior to this, he served as a Research Assistant at North Dakota State University, contributing significantly to PEM fuel cell technology and thermal management systems 🔋🔥. His work integrates experimental and numerical methods, demonstrating a strong interdisciplinary approach. He has also engaged in mentoring undergraduate and graduate students, fostering academic growth and research skills 📖👥. Dr. Chowdhury’s diverse experiences across top-tier institutions and collaborative research environments have honed his abilities to manage complex projects, publish impactful papers 📑, and secure funding opportunities, highlighting his leadership in the mechanical engineering domain 🚀.

Research Interest 🔬💡

Dr. Prantik Roy Chowdhury’s research interests span PEM fuel cells, heat transfer, thermofluids, and biomaterials 🧪🔥🧬. His work focuses on advancing the efficiency and durability of fuel cell systems through innovative material design and thermal management solutions. He is particularly passionate about exploring microfluidic applications in biofluids, developing sustainable energy systems, and integrating computational and experimental approaches to solve real-world engineering challenges 🌍🛠️. Dr. Chowdhury is also interested in interdisciplinary research that connects mechanical engineering with biomedical engineering, aiming to bridge gaps between energy and health technologies. His dedication to cutting-edge research has led to multiple high-impact publications and conference presentations, shaping the future of sustainable energy and bioengineering 🚀📚.

Award and Honor 🏆🎖️

Dr. Prantik Roy Chowdhury’s academic and professional excellence has been recognized with prestigious awards and honors 🌟. Notably, he earned the Graduate Research Fellowship at North Dakota State University for his outstanding contributions to PEM fuel cell research 🔬. His exceptional academic performance, including a perfect GPA of 4.0, was consistently recognized through merit-based scholarships and research assistantships 📖🏅. Dr. Chowdhury has also been invited to present at leading conferences, showcasing his innovative work on energy systems and biomaterials 📢💼. These honors underscore his commitment to academic excellence and his leadership in the field. His accolades reflect a career dedicated to innovation, knowledge dissemination, and impactful research that addresses global challenges 🌍🔋.

Research Skill 🔧📊

Dr. Prantik Roy Chowdhury demonstrates a broad and deep skill set in mechanical engineering research 🔬⚙️. His expertise spans computational fluid dynamics (CFD), thermal analysis, and numerical simulations, essential for optimizing PEM fuel cell and biofluid systems 🧪🖥️. He is proficient in laboratory-based experimentation, integrating hands-on testing with advanced diagnostic techniques 🔍🛠️. Dr. Chowdhury is skilled in multi-physics modeling, finite element analysis (FEA), and data analytics, enabling him to bridge theoretical concepts with practical engineering solutions 📊💡. He excels at writing high-impact publications, grant proposals, and mentoring students, reflecting his leadership in research and education 📚👥. His multifaceted skills position him as a transformative researcher in sustainable energy and biomaterials 🛤️🚀.

Publications Top Notes📝

• Bone marrow stromal cells interaction with titanium; Effects of composition and surface modification

  • Authors: MK Duvvuru, W Han, PR Chowdhury, S Vahabzadeh, F Sciammarella, et al.

  • Year: 2019

  • Citations: 20

  • Source: PLoS One 14 (5), e0216087

• Comparative and sensitivity analysis of operating conditions on the performance of a high temperature PEM fuel cell

  • Authors: PR Chowdhury, AC Gladen

  • Year: 2024

  • Citations: 6

  • Source: International Journal of Hydrogen Energy 50, 1239-1256

• Deposition of magnesium on surface-modified titanium for biomedical applications

  • Authors: PR Chowdhury, S Vahabzadeh

  • Year: 2022

  • Citations: 2

  • Source: Journal of Materials Research 37 (16), 2635-2644

• Surface Modification of Titanium for Orthopedic and Drug Delivery Applications

  • Authors: PR Chowdhury

  • Year: 2020

  • Citations: 1

  • Source: Northern Illinois University

• Regulation of Osteogenic and Angiogenic Markers in Alkali-Treated Titanium for Hard Tissue Engineering Applications

  • Authors: PR Chowdhury, D Kling, MR Markiewicz, P Bothwell, S Vahabzadeh

  • Year: 2024

  • Source: Journal of Oral Implantology 50 (6), 636-643

• Design of Flow Fields for High-Temperature PEM Fuel Cells Using Computational Fluid Dynamics

  • Authors: PR Chowdhury, AC Gladen

  • Year: 2024

  • Source: Energies 17 (19), 4898

• Design and Parametric Study to Improve the Performance of High Temperature Proton Exchange Membrane Fuel Cell

  • Authors: PR Chowdhury

  • Year: 2024

  • Source: North Dakota State University

• Impact of Temperature and Ethanol Concentration on High Temperature Direct Ethanol-Based Proton Exchange Membrane Fuel Cell

  • Authors: PR Chowdhury, AC Gladen

  • Year: 2023

  • Source: Energy Sustainability 87189, V001T07A001

• Design and Fabrication of a Robotic Arm for Interior Wall Painting

  • Authors: SCB Nwomey Subayer, Prantik Roy Chowdhury, Anik Samadder

  • Year: 2015

  • Source: ICMERE2015

• Development of a Microcontroller-based Data Acquisition System to Capture Analog Signals

  • Authors: PRC Kazi Afzalur Rahman

  • Year: 2014

  • Source: ICMERE2013

Conclusion 🌟📝

Dr. Prantik Roy Chowdhury exemplifies the qualities of a visionary researcher and dedicated educator in mechanical engineering 🔬🌍. His robust educational background, impactful research, and professional achievements position him at the forefront of energy systems and biomaterials innovation ⚡️🧬. With a commitment to interdisciplinary collaboration and real-world problem-solving, Dr. Chowdhury drives progress in fuel cell technology, thermal management, and biomedical applications 🔋🔥. His impressive portfolio of awards and high-impact publications underscores his influence in the scientific community 📚🏅. As a Postdoctoral Associate, he continues to inspire excellence and foster academic growth among students and peers. Dr. Chowdhury is a strong contender for the Best Researcher Award, embodying excellence, dedication, and innovation 🏆✨.

Hee Sun Choi | Analysis (Real, Complex, Functional) | Best Researcher Award

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Assist. Prof. Dr. Hee Sun Choi | Analysis (Real, Complex, Functional) | Best Researcher Award

Assistant Professor at The Hong Kong Polytechnic University, Hong Kong

Dr. Hee Sun (Sunny) Choi is an accomplished academic and researcher specializing in urban design, spatial cognition, and human-centered urban planning 🌆. With degrees from prestigious institutions like the University of Oxford and University College London, he currently serves as an Assistant Professor at The Hong Kong Polytechnic University 🎓. Dr. Choi leads groundbreaking research projects, including those focused on vertical urbanism and cognitive assessments of urban spaces 🌍. His work is supported by various grants, reflecting the real-world impact and value of his research 🏙️. Notable publications include a book on spatial cognition in vertical environments and articles in leading journals, such as Cities and Journal of Urban Design 📚. As a Principal Investigator, Dr. Choi is driving innovation in urban sustainability, regeneration, and human-centric design 🌿. His work is shaping the future of urban living, bridging academic excellence with practical solutions for cities of tomorrow 🔍.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓

Dr. Hee Sun (Sunny) Choi’s academic journey reflects his dedication to urban studies and design 🌍. He holds a Ph.D. from the University of Oxford Brookes and an M.Phil. from University College London, both prestigious institutions in the UK 🎓. Additionally, he earned his MA from the Architectural Association School of Architecture in London and holds two bachelor’s degrees from Swinburne University and the Royal Melbourne Institute of Technology in Australia 🇦🇺. His diverse educational background laid the foundation for his exploration of spatial cognition and human-centered design in urban environments 🏙️.

Professional Experience 🗺️

Dr. Choi has held numerous academic positions globally, showcasing his leadership in urban design and planning 👩‍🏫. He is currently an Assistant Professor at The Hong Kong Polytechnic University, where he continues to influence the next generation of urban designers 🏫. Previously, he served as a lecturer at the University of Hong Kong and Xian-Jiaotong Liverpool University, as well as an adjunct professor at the Polytechnic University of Hong Kong 🗺️. His global experience enriches his teaching and research, focusing on human-centered urban design 🌿.

Research Interests 🏙️

Dr. Choi’s research interests lie at the intersection of urban design, spatial cognition, and human-centered planning 🌆. His work focuses on understanding how people interact with and experience urban environments, particularly vertical and dense spaces 🏙️. He explores the cognitive and emotional aspects of urbanism, aiming to develop guidelines that create more sustainable and human-friendly cities 🌍. His ongoing projects involve cutting-edge studies in AI-aided urbanism, smart cities, and the emotional value of walkability 🚶‍♀️.

Awards and Honors 🏆

Dr. Choi’s exceptional contributions to urban design and planning have earned him numerous accolades and research grants 🏆. He has received substantial funding from prestigious organizations, including the Hong Kong Art Development Council, NEOM Inc., and UGC for his innovative projects on urban cognition, human-centric design, and sustainability 🌿. His research is also recognized in top academic journals, where he continues to push the boundaries of urban studies and design ✨. His work has significantly impacted urban design theory and practice 🌍.

Conclusion

Dr. Hee Sun (Sunny) Choi is a distinguished academic whose work bridges the gap between urban design, technology, and human experience 🌆. With a global academic background and a wealth of research funding, he continues to lead innovative studies that shape the future of urban living 🌍. His dedication to understanding spatial cognition and human-centered design is paving the way for smarter, more sustainable cities 🌿. Through his teaching, research, and leadership, Dr. Choi is making an enduring impact on the field of urban studies 🏙️.

Publications Top Notes

  • Title: Loan-to-value ratio as a macroprudential tool-Hong Kong’s experience and cross-country evidence
    Authors: T Wong, T Fong, K Li, H Choi
    Year: 2011
    Cited by: 271
    Source: Systemic Risk, Basel III, Financial Stability and Regulation

  • Title: Developing a wetland-type classification system in the Republic of Korea
    Authors: KG Kim, MY Park, HS Choi
    Year: 2006
    Cited by: 28
    Source: Landscape and Ecological Engineering 2, 93-110

  • Title: Phase II study of preoperative chemoradiation (CRT) with cetuximab, irinotecan and capecitabine in patients with locally advanced resectable rectal cancer
    Authors: YS Hong, DY Kim, KS Lee, SB Lim, HS Choi, SY Jeong, JH Kim, SA Im, …
    Year: 2007
    Cited by: 22
    Source: Journal of Clinical Oncology 25 (18_suppl), 4045-4045

  • Title: Local identity in the form-production process, using as a case study the multifunctional administrative city project (Sejong) in South Korea
    Authors: HS Choi, A Reeve
    Year: 2015
    Cited by: 19
    Source: Urban Design International 20, 66-78

  • Title: Assessing the sustenance and evolution of social and cultural contexts within sustainable urban development, using as a case the MAC in South Korea
    Authors: HS Choi, KH Ahn
    Year: 2013
    Cited by: 18
    Source: Sustainable Cities and Society 6, 51-56

  • Title: Outcomes of colorectal anastomoses during pelvic exenteration for gynaecological malignancy
    Authors: SW Lim, SB Lim, JY Park, SY Park, HS Choi, SY Jeong
    Year: 2008
    Cited by: 14
    Source: Journal of British Surgery 95 (6), 770-773

  • Title: Place identity in 21st century architecture in South Korea
    Authors: HSS Choi
    Year: 2011
    Cited by: 12
    Source: ArchNet-IJAR: International Journal of Architectural Research 5 (3), 116

  • Title: Phase II trial of irinotecan and capecitabine in patients with advanced colorectal cancer (ACRC)
    Authors: JB Ahn, KH Jung, YS Park, YH Kim, HJ Chang, DK Sohn, SB Lim, …
    Year: 2005
    Cited by: 12
    Source: Journal of Clinical Oncology 23 (16_suppl), 3714-3714

  • Title: Pneumatosis cystoides coli of the ascending colon: colonoscopic and CT colonographic features
    Authors: BN Kim, JY Jeong, DK Sohn, KS Han, CW Hong, HJ Chang, SB Lim, …
    Year: 2007
    Cited by: 10
    Source: Endoscopy 39 (S 1), E73-E74

  • Title: How are public spaces sustaining cultural identities in the context of China’s increasingly globally focused urban developments: using a case study of Putuo in Shanghai
    Authors: HS Choi
    Year: 2016
    Cited by: 8
    Source: Journal of Architecture and Urbanism 40 (3), 198-205

  • Title: Endoscopic treatment of completely occluding anastomotic web using incision and ballooning after dye injection
    Authors: JW Park, DK Sohn, KS Han, CW Hong, HJ Chang, KH Jung, DY Kim, …
    Year: 2007
    Cited by: 7
    Source: Endoscopy 39 (S 1), E102-E103

  • Title: Occurrence and control of seed-borne plant viruses in Korea
    Authors: JW Park, JU Cheon, HS Choi
    Year: 2001
    Cited by: 7
    Source: Crop Prot Res Rural Development Administration, 194-218

  • Title: Urban Marginality in Hong Kong’s Global Diaspora
    Authors: HS Choi, HS Choi, Farrow
    Year: 2019
    Cited by: 6
    Source: Springer International Publishing

  • Title: The negotiated public realm in the contemporary city: hybrid walkable urban networks of Hong Kong
    Authors: ARMC Hee Sun Choi, Gerhard Bruyns
    Year: 2023
    Cited by: 5
    Source: City, Territory and Architecture 10 (10)

  • Title: Spatial cognition and three-dimensional vertical urban design guidelines—Cognitive measurement and modelling for human centre design
    Authors: HS Choi, G Bruyns, W Zhang, T Cheng, S Sharma
    Year: 2023
    Cited by: 4
    Source: Urban Science 7 (4), 125

  • Title: Human cognition and emotions for human-centred design in vertical interior urban spaces
    Authors: HS Choi, G Bruyns, T Cheng, W Zhang, S Sharma
    Year: 2025
    Cited by: 3
    Source: Journal of Urban Design 30 (1), 114-137

  • Title: New Forms of Place-Making and Public Space in Contemporary Urban Development in Seoul, South Korea
    Authors: HSS Choi
    Year: 2017
    Cited by: 3
    Source: Current Urban Studies 5 (03), 332

  • Title: The impact of Hi-Technology navigation systems on the reading of the five elements of urban design, using the case of the Central District of Hong Kong
    Authors: HSS Choi, X Yang
    Year: 2022
    Cited by: 2
    Source: Current Urban Studies 10 (3), 451-466

  • Title: Understanding the impact of economic migrants and landless farmers on mass-produced housing and community space in China, using the case of Zhangjing, Suzhou
    Authors: HS Choi, A Reeve
    Year: 2018
    Cited by: 2
    Source: International Journal of Urban Sustainable Development 10 (1), 60-78

  • Title: RETRACTED ARTICLE: How can SLCA influence change to a product’s life cycle and who listens to the impacts of an SLCA?
    Authors: HS Choi
    Year: 2016
    Cited by: 2
    Source: Environment, Development and Sustainability 18 (2), 615-615

  • Title: Uncovering the drivers of intent to use the metaverse: diverse experiences in sustainability education
    Authors: HSS Choi, PYP Wong, JD Shen, MLL Francisco, A Nurgissayeva
    Year: 2025
    Cited by: 1
    Source: Discover Sustainability 6 (1), 152

  • Title: Evolving research method in three-dimensional and volumetric urban morphology of a highly dense city: assessing public and quasi-public space typologies
    Authors: HSS Choi, G Bruyns, T Cheng, J Xie
    Year: 2024
    Cited by: 1
    Source: Journal of Architecture and Urbanism 48 (1), 25–38

  • Title: Re-thinking the Hong Kong Tramway as a Rooted but Future Orientated Form of Sustainable Transportation
    Authors: HSS Choi, M Cui
    Year: 2019
    Cited by: 1*
    Source: Urbanie and Urbanus, 50

  • Title: Can the Social Life of Small Urban Spaces Benefit the Urban Marginalities?
    Authors: HS Choi, HS Choi
    Year: 2019
    Cited by: 1
    Source: Urban Marginality in Hong Kong’s Global Diaspora, 45-71

  • Title: Which gene is a dominant predictor of response during FOLFOX chemotherapy for the treatment of metastatic colorectal cancer, MTHFR or XRCC1 gene?
    Authors: DY Kim, YB Kim, HS Choi, JM Kim, K Suh
    Year: 2006
    Cited by: 1
    Source: ANNALS OF SURGICAL ONCOLOGY 13 (2), 7-7

 

Boris Kryzhanovsky | Applied Mathematics | Best Researcher Award

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Prof. Dr. Boris Kryzhanovsky | Applied Mathematics | Best Researcher Award

Chief researcher at Scientific Research Institute for System Analysis of the National Research Center “Kurchatov Institute”, Russia

Dr. Boris Kryzhanovsky is a distinguished researcher with over five decades of experience in the fields of quantum electrodynamics, laser physics, and mathematical methods in neural networks, statistical physics, and nanotechnology. He graduated from Yerevan State University in 1971 and has since contributed significantly to scientific advancements. His work includes pioneering research in nonstationary four-wave mixing, the development of vector neural networks with large memory, and innovative methods for calculating partition functions of spin systems. Dr. Kryzhanovsky has published over 200 articles in renowned journals and holds an h-index of 19, reflecting the impact of his research. He is also the Editor-in-Chief of Optical Memory and Neural Networks and a Corresponding Member of the Russian Academy of Sciences. His leadership and extensive collaboration with international scientific communities further underscore his prominent role in advancing research in his fields of expertise.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Boris Kryzhanovsky completed his education at Yerevan State University, Armenia, where he graduated from the Physical Department in 1971. His academic foundation laid the groundwork for a distinguished career in scientific research. Throughout his career, Dr. Kryzhanovsky has maintained a strong commitment to advancing his knowledge in complex scientific fields, particularly in quantum electrodynamics, laser physics, and mathematical methods applied to neural networks and statistical physics. His early training at one of Armenia’s most prestigious universities provided him with the critical thinking and theoretical skills that have shaped his extensive body of work in these areas.

Professional Experience

Dr. Kryzhanovsky’s professional career spans over five decades, starting as a scientific researcher at the Institute for Physical Research in Armenia (1971-1991). He later worked at the Institute for Optical-Neuron Technologies RAS (1996-2006) and currently holds a chief researcher position at the Scientific Research Institute for System Analysis RAS. His career has seen significant contributions to the fields of neural networks and statistical physics, with leadership roles including Editor-in-Chief of Optical Memory and Neural Networks. Dr. Kryzhanovsky’s work is widely recognized for its deep theoretical insights and practical applications in various scientific domains.

Research Interests

Dr. Kryzhanovsky’s research interests are diverse, encompassing neural networks, statistical physics, and nanotechnology. He has made groundbreaking contributions in developing mathematical methods for the analysis of neural networks, especially focusing on vector neural networks with large memory for recognizing noisy patterns. Additionally, his work on the theory of nonstationary processes in quantum electrodynamics and the development of methods for calculating partition functions of spin systems highlights his interdisciplinary approach. His research also explores nanotechnology, particularly in relation to statistical mechanics, contributing to advances in both theoretical and applied physics.

Awards and Honors

Dr. Kryzhanovsky has received numerous honors throughout his career, underpinned by his significant contributions to scientific research. He is a Corresponding Member of the Russian Academy of Sciences and holds leadership positions in various academic and scientific societies. His work is frequently cited, reflected in his impressive h-index of 19 on Google Scholar, and he has authored over 200 journal articles in reputable SCI and Scopus-indexed publications. His professional standing and achievements are also evident from his role as Editor-in-Chief of Optical Memory and Neural Networks, further cementing his reputation in the scientific community.

Conclusion

Dr. Boris Kryzhanovsky is a highly respected researcher whose contributions to quantum electrodynamics, laser physics, neural networks, and statistical physics have had a profound impact on both theoretical and applied sciences. His academic background, coupled with extensive professional experience, has led to groundbreaking research that continues to shape the direction of several scientific fields. With a remarkable publication record and leadership roles within the scientific community, Dr. Kryzhanovsky remains a key figure in advancing knowledge and innovation. His achievements and dedication to research make him a standout in his field, deserving recognition for his substantial contributions to science.

Publications Top Noted

 

 

 

Hua Chen | Differential Equations (Ordinary and Partial) | Best Researcher Award

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Prof. Dr. Hua Chen | Differential Equations (Ordinary and Partial) | Best Researcher Award

Distinguished Professor in Mathematics at Wuhan University, China

Dr. Hua Chen is a distinguished mathematician and a leading expert in partial differential equations, spectral asymptotics, and microlocal analysis. Born in 1956 in Wuhan, China, he earned his Ph.D. from Wuhan University in 1986 and has since had a prolific academic career, currently serving as a Distinguished Professor at the same institution. With extensive research contributions spanning over four decades, Dr. Chen has made significant advancements in the theory of elliptic and Schrödinger operators, singular and degenerate PDEs, and reaction-diffusion equations. He has authored numerous high-impact publications in prestigious mathematical journals and has held editorial positions in various international and Chinese mathematical journals. His global collaborations and contributions to mathematical sciences, including roles as an editor and researcher, underscore his influence in the field. Dr. Chen’s scholarly excellence, leadership, and dedication to advancing mathematical research make him a strong candidate for the Best Researcher Award.

Professional Profile 

Scopus Profile

Education

Dr. Hua Chen received his Ph.D. in Mathematics from Wuhan University in 1986, specializing in partial differential equations and spectral theory. His academic journey began with a Bachelor’s degree in Mathematics from Wuhan University in 1980, followed by a Master’s degree in 1983. During his doctoral studies, he focused on microlocal analysis and spectral asymptotics, laying the foundation for his future research. Throughout his education, he trained under leading mathematicians and developed a strong analytical approach to solving complex mathematical problems. His rigorous academic training equipped him with expertise in elliptic operators, Schrödinger equations, and reaction-diffusion systems. Dr. Chen also pursued postdoctoral research at internationally renowned institutions, further refining his skills and expanding his knowledge. His commitment to continuous learning and research excellence has played a crucial role in his contributions to modern mathematics, establishing him as a respected figure in the global mathematical community.

Professional Experience

Dr. Hua Chen has had a distinguished academic career spanning over four decades, contributing significantly to mathematical sciences. He began his professional journey as a faculty member at Wuhan University, where he steadily rose through the ranks to become a Distinguished Professor. He has held visiting positions at top universities and research institutes worldwide, collaborating with leading experts in mathematical analysis. Dr. Chen has served as an advisor to numerous Ph.D. students, mentoring the next generation of mathematicians. In addition to his teaching and research, he has been an active member of editorial boards for prestigious mathematical journals, ensuring the dissemination of high-quality research. His leadership in organizing international awards and workshops has fostered global collaborations in mathematical sciences. Through his extensive professional experience, Dr. Chen has established himself as a prominent figure in the field of partial differential equations and spectral theory, making lasting contributions to mathematical research.

Research Interest

Dr. Hua Chen’s research interests lie at the intersection of partial differential equations, spectral asymptotics, and microlocal analysis. His work focuses on the theoretical and applied aspects of elliptic operators, Schrödinger equations, and singular and degenerate differential equations. He has made significant contributions to the understanding of reaction-diffusion systems, which have applications in physics, engineering, and mathematical biology. His research delves into eigenvalue problems, spectral geometry, and mathematical physics, providing new insights into fundamental mathematical structures. Dr. Chen’s studies on the behavior of solutions to PDEs under various boundary conditions have influenced modern approaches to differential operators and functional analysis. His interdisciplinary approach integrates pure and applied mathematics, bridging theoretical frameworks with real-world applications. His pioneering work in these areas has led to numerous high-impact publications, advancing the frontiers of mathematical knowledge and inspiring further research in differential equations and spectral analysis.

Awards and Honors

Dr. Hua Chen has received numerous accolades in recognition of his outstanding contributions to mathematics. He has been honored with prestigious national and international awards for his groundbreaking research in partial differential equations and spectral theory. Among his notable achievements, he has been a recipient of the National Science Fund for Distinguished Young Scholars in China, acknowledging his excellence in mathematical research. He has also been elected as a fellow of leading mathematical societies and has received distinguished professorships from renowned institutions. His research contributions have earned him invitations as a keynote speaker at major international awards, further highlighting his influence in the field. In addition to these honors, Dr. Chen has played a pivotal role in advancing mathematical sciences through his editorial and advisory positions in academic journals and research committees. His accolades reflect his dedication to advancing mathematical knowledge and his impact on the global research community.

Conclusion

Dr. Hua Chen is a highly accomplished mathematician whose contributions to partial differential equations, spectral theory, and microlocal analysis have significantly influenced the field. With a strong academic foundation from Wuhan University, he has built an illustrious career as a researcher, educator, and mentor. His extensive body of work, spanning fundamental theoretical developments and applied mathematical studies, has earned him global recognition. Dr. Chen’s leadership in research collaborations, journal editorial roles, and award organizations underscores his commitment to fostering mathematical innovation. His numerous awards and honors further affirm his excellence and influence in mathematical sciences. Through his dedication to advancing mathematical research, mentoring young scholars, and contributing to academic institutions, Dr. Chen has left a lasting impact on the global mathematical community. His outstanding career and remarkable contributions make him a deserving candidate for prestigious research awards and recognition in the field of mathematics.

Publications Top Noted

  • Liouville theorem for Lane-Emden equation of Baouendi-Grushin operators

    • Authors: Hua Chen, Xin Liao
    • Year: 2025
    • Citations: 0
    • Source: Journal of Differential Equations

  • GLOBAL CLASSICAL SOLUTIONS AND STABILIZATION FOR A CLASS OF COMPETITION MODELS WITH DENSITY-DEPENDENT MOTILITY

    • Authors: Hua Chen, Wenbin Lyu, Bo Mao
    • Year: 2025
    • Citations: 0
    • Source: Discrete and Continuous Dynamical Systems

  • Dirichlet problem for a class of nonlinear degenerate elliptic operators with critical growth and logarithmic perturbation

    • Authors: Hua Chen, Xin Liao, Ming Zhang
    • Year: 2024
    • Citations: 1
    • Source: Calculus of Variations and Partial Differential Equations

  • Multiplicity of solutions for the semilinear subelliptic Dirichlet problem

    • Authors: Hua Chen, Hongge Chen, Jinning Li, Xin Liao
    • Year: 2024
    • Citations: 1
    • Source: Science China Mathematics

  • Breast Cancer Prediction Based on Differential Privacy and Logistic Regression Optimization Model

    • Authors: Hua Chen, Nan Wang, Yuan Zhou, Mengdi Tang, Guangxing Cai
    • Year: 2023
    • Citations: 1
    • Source: Applied Sciences (Switzerland)

  • An Improved Density Peak Clustering Algorithm Based on Chebyshev Inequality and Differential Privacy

    • Authors: Hua Chen, Yuan Zhou, Kehui Mei, Mengdi Tang, Guangxing Cai
    • Year: 2023
    • Citations: 5
    • Source: Applied Sciences (Switzerland)

  • Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy

    • Authors: Hua Chen, Kehui Mei, Yuan Zhou, Nan Wang, Guangxing Cai
    • Year: 2023
    • Citations: 3
    • Source: IEEE Access

  • A Density Peaking Clustering Algorithm for Differential Privacy Preservation

    • Authors: Hua Chen, Kehui Mei, Yuan Zhou, Mengdi Tang, Guangxing Cai
    • Year: 2023
    • Citations: 6
    • Source: IEEE Access

  • A New Density Peak Clustering Algorithm With Adaptive Clustering Center Based on Differential Privacy

    • Authors: Hua Chen, Yuan Zhou, Kehui Mei, Nan Wang, Guangxing Cai
    • Year: 2023
    • Citations: 8
    • Source: IEEE Access

Halima Bensmail | Applied Mathematics | Best Researcher Award

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Prof. Dr. Halima Bensmail | Applied Mathematics | Best Researcher Award

Principal scientist at Qatar Computing Research Institute, Qatar

Dr. Halima Bensmail is a distinguished Principal Scientist at the Qatar Computing Research Institute, specializing in machine learning, bioinformatics, biostatistics, and statistical modeling. With a Ph.D. in Statistics (Summa Cum Laude) from the University Pierre & Marie Curie, she has made significant contributions to Bayesian inference, multivariate analysis, and precision medicine. She has an impressive research record with an H-index of 31, i10-index of 54, and around 140 publications in prestigious journals such as Nature Communications, JASA, and IEEE TNNLS. As the founder of the Statistical Machine Learning and Bioinformatics group at QCRI, she has led groundbreaking projects, including the development of open-source data-driven tools like the PRISQ pre-diabetes screening model and MCLUST clustering algorithm. With extensive academic experience in the USA, France, and the Netherlands, she has mentored numerous postdocs and students, shaping the next generation of researchers. Her expertise and leadership make her a key figure in data science and precision health.

Professional Profile 

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Education

Dr. Halima Bensmail holds a Ph.D. in Statistical Machine Learning (Summa Cum Laude) from the University Pierre & Marie Curie (Paris 6), where she specialized in Bayesian inference, spectral decomposition, and mixture models. Her thesis focused on deterministic and Bayesian model-based clustering and classification for data science applications. Prior to that, she earned an M.S. in Machine Learning from the same university, with a focus on probability, financial modeling, and stochastic processes. She also holds a Bachelor’s degree in Applied Mathematics and Statistics from the University Mohammed V in Morocco, where she gained expertise in numerical analysis, stochastic processes, topology, and mathematical programming. Throughout her academic journey, she was mentored by esteemed professors and developed a strong foundation in theoretical and applied statistics. Her educational background has laid the groundwork for her pioneering research in machine learning, bioinformatics, and data-driven modeling for real-world applications.

Professional Experience

Dr. Bensmail is currently a Principal Scientist at the Qatar Computing Research Institute (QCRI), where she leads research in bioinformatics, statistical machine learning, and artificial intelligence. She also serves as a Full Professor in the College of Science and Engineering at Hamad Bin Khalifa University and a Visiting Full Professor at Texas A&M University at Qatar. Previously, she held tenured faculty positions at Virginia Medical School and the University of Tennessee, where she contributed significantly to public health and business administration research. She has also worked as a Research Scientist at the University of Leiden, a scientist at the Fred Hutchinson Cancer Research Center, and a postdoctoral researcher at the University of Washington. With decades of experience across academia and research institutions in the U.S., Europe, and the Middle East, she has built expertise in developing statistical and AI-driven solutions for biomedical and computational challenges.

Research Interests

Dr. Bensmail’s research spans statistical machine learning, bioinformatics, and precision medicine. She has developed novel clustering algorithms, such as an advanced Bayesian clustering model implemented in the MCLUST package, and statistical methods for analyzing Next-Generation Sequencing (NGS) data. She is also interested in computational biology, specifically protein-protein interactions, protein solubility, and structural biology. Her work includes dimensionality reduction techniques like nonnegative matrix factorization and discriminative sparse coding for domain adaptation. In the field of precision medicine, she has designed PRISQ, a statistical model for pre-diabetes screening. Her broader interests include Bayesian statistics, functional data analysis, information theory, and high-dimensional data modeling. With a strong focus on developing real-world data-driven tools, she actively contributes to statistical methodologies that enhance decision-making in medicine, genomics, and artificial intelligence applications.

Awards and Honors

Dr. Bensmail has received numerous accolades for her contributions to machine learning, bioinformatics, and statistical modeling. Her work has been widely recognized, with over 140 peer-reviewed publications and an H-index of 31, demonstrating the impact of her research. She has secured research grants and led major projects in AI-driven healthcare solutions. Her contributions to the field have been acknowledged through invitations to serve as a keynote speaker at international awards and as an editorial board member for high-impact journals. She has also been instrumental in mentoring young researchers, postdoctoral fellows, and doctoral students, fostering the next generation of scientists in AI, statistics, and bioinformatics. Additionally, her work on statistical methods for precision medicine and biomedical informatics has gained international recognition, positioning her as a leading expert in the field of data science for healthcare and computational biology.

Conclusion

Dr. Halima Bensmail is a pioneering researcher in machine learning, statistical modeling, and bioinformatics, with a career spanning leading institutions in the U.S., Europe, and the Middle East. Her contributions to clustering algorithms, high-dimensional data analysis, and precision medicine have made a lasting impact on the fields of AI and computational biology. As a mentor and leader, she has shaped numerous young scientists and postdocs, driving innovation in data science applications. With a robust publication record, influential research projects, and a dedication to developing real-world AI-driven solutions, she stands as a leading figure in statistical machine learning. Her expertise and contributions continue to push the boundaries of knowledge in bioinformatics, artificial intelligence, and healthcare analytics, making her a strong candidate for prestigious research awards and recognition in scientific communities worldwide.

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LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

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Dr. LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

Dr. Lin-Tian Luh is a distinguished mathematician specializing in radial basis functions, approximation theory, numerical mathematics, and topology. With a Ph.D. from the University of Göttingen, he has made significant contributions to the field, particularly in developing error bounds for high-dimensional interpolation and advancing the choice theory of shape parameters. Over his academic career at Providence University, where he served as a lecturer, associate professor, and full professor, he has been instrumental in enhancing research environments and collaborating internationally, notably with Professor R. Schaback. Dr. Luh has published extensively in high-impact journals, presented at major awards worldwide, and held editorial roles in reputable mathematical journals. His groundbreaking work on shape parameter selection has gained international recognition, solving longstanding challenges in the field. Honored multiple times for research excellence, he continues to push the boundaries of numerical analysis and computational mathematics, making profound impacts on scientific advancements.

Professional Profile 

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Education

Dr. Lin-Tian Luh obtained his Ph.D. in Mathematics from the University of Göttingen, Germany, where he studied under leading experts in numerical analysis and approximation theory. His doctoral research focused on radial basis functions and their applications in high-dimensional interpolation. Prior to his Ph.D., he completed his undergraduate and master’s studies in Taiwan, building a strong foundation in pure and applied mathematics. Throughout his academic journey, he demonstrated exceptional analytical skills and a deep passion for solving complex mathematical problems. His international education provided him with a broad perspective, allowing him to integrate diverse mathematical techniques into his research. Exposure to rigorous mathematical training at Göttingen further refined his expertise in error estimation and shape parameter selection. His academic achievements laid the groundwork for a successful career in both theoretical and applied mathematics, enabling him to contribute significantly to the advancement of numerical methods in scientific computation.

Professional Experience

Dr. Lin-Tian Luh has had a distinguished academic career, spanning decades of research, teaching, and mentorship. He began as a lecturer at Providence University in Taiwan, where he quickly established himself as an authority in numerical mathematics. Rising through the ranks to associate professor and later full professor, he played a pivotal role in shaping the university’s mathematics curriculum and fostering a strong research environment. He has collaborated extensively with international scholars, including Professor R. Schaback, contributing to groundbreaking advancements in radial basis function interpolation. Dr. Luh has also held visiting research positions at prestigious institutions, further strengthening his global academic impact. His dedication to teaching has inspired numerous students to pursue research in computational mathematics. Beyond academia, he has served on editorial boards of leading mathematical journals and as a reviewer for high-impact publications, solidifying his reputation as a key figure in numerical analysis and approximation theory.

Research Interest

Dr. Lin-Tian Luh’s research interests lie in numerical analysis, radial basis function (RBF) interpolation, approximation theory, and topology. He has made substantial contributions to high-dimensional interpolation techniques, particularly in error estimation and shape parameter selection for RBF methods. His work on developing optimal strategies for shape parameter choice has addressed longstanding challenges in computational mathematics, influencing applications in engineering, data science, and machine learning. He is also deeply engaged in the theoretical aspects of approximation theory, exploring new methods to improve the efficiency and accuracy of numerical algorithms. Dr. Luh’s research extends into applied topology, where he investigates connections between geometric structures and computational models. His interdisciplinary approach has led to collaborations across various fields, reinforcing the importance of mathematical theory in real-world problem-solving. With numerous publications in top-tier journals, his work continues to shape the evolving landscape of numerical mathematics and scientific computation.

Awards and Honors

Dr. Lin-Tian Luh has received multiple accolades for his exceptional contributions to mathematics, particularly in numerical analysis and approximation theory. He has been recognized by prestigious mathematical societies and institutions for his pioneering work in radial basis function interpolation. His research on shape parameter selection has earned international acclaim, leading to invitations as a keynote speaker at major mathematical awards. Dr. Luh has also been honored with excellence in research awards from Providence University, where his work has significantly advanced the institution’s academic reputation. In addition, he has received grants and fellowships supporting his innovative research, further validating his impact in the field. His editorial contributions to leading mathematical journals have also been acknowledged, highlighting his influence in shaping contemporary numerical mathematics. These honors reflect his dedication, originality, and profound impact on both theoretical and applied mathematics, reinforcing his legacy as a leader in computational and approximation theory.

Conclusion

Dr. Lin-Tian Luh is a renowned mathematician whose work in numerical analysis, radial basis function interpolation, and approximation theory has significantly influenced the field. With a strong educational background from the University of Göttingen and an illustrious academic career at Providence University, he has played a crucial role in advancing research and mentoring future generations of mathematicians. His collaborations with international scholars and contributions to high-dimensional interpolation techniques have provided groundbreaking insights into shape parameter selection and error estimation. Recognized globally for his research excellence, he has received multiple awards and honors, further establishing his prominence in mathematical sciences. Dr. Luh’s work continues to inspire and drive progress in numerical computation, bridging theoretical advancements with practical applications. His dedication to expanding mathematical knowledge and fostering innovation ensures that his contributions will have a lasting impact on the field, shaping the future of approximation theory and scientific computing.

Publications Top Noted

  • The Shape Parameter in the Shifted Surface Spline—A Sharp and Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2024
    • Source: Mathematics (MDPI)

  • Solving Poisson Equations by the MN-Curve Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • The Shape Parameter in the Shifted Surface Spline—An Easily Accessible Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameter—A Purely Scattered Data Approach

    • Author: Lin-Tian Luh
    • Year: 2020
    • Source: Engineering Analysis with Boundary Elements (EABE)

  • The Choice of the Shape Parameter–A Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2019
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Mystery of the Shape Parameter III

    • Author: Lin-Tian Luh
    • Year: 2016
    • Source: Applied and Computational Harmonic Analysis (Elsevier)

  • The Mystery of the Shape Parameter IV

    • Author: Lin-Tian Luh
    • Year: 2014
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function II

    • Author: Lin-Tian Luh
    • Year: 2013
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Computers and Mathematics with Applications (Elsevier)

  • The Shape Parameter in the Shifted Surface Spline III

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • Evenly Spaced Data Points and Radial Basis Functions

    • Author: Lin-Tian Luh
    • Year: 2011
    • Source: WIT Transactions on Modelling and Simulation

  • The Crucial Constants in the Exponential-Type Error Estimates for Gaussian Interpolation

    • Author: Lin-Tian Luh
    • Year: 2008
    • Source: Analysis in Theory and Applications

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation (Preprint)

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Multidisciplinary Digital Publishing Institute (MDPI Preprints)