Owais Khan | Applied Mathematics | Best Researcher Award

Assist. Prof. Dr. Owais Khan | Applied Mathematics | Best Researcher Award

Assistant Professor at Integral University India

Dr. Owais Khan is a distinguished researcher and educator in Mathematics, with a strong focus on Artificial Intelligence, Data Science, and Computational Methods ๐Ÿง ๐Ÿ“Š. He holds a Ph.D. and has contributed extensively through impactful publications in reputed international journals ๐Ÿ“š. Dr. Khanโ€™s academic journey is marked by innovative teaching methodologies and interdisciplinary research that bridges theory and application across science and technology ๐Ÿ”ฌ๐Ÿ’ก. He has participated in global conferences, fostering collaborations that advance mathematical innovation ๐ŸŒ๐Ÿค. His work continues to inspire the next generation of scholars, reflecting his dedication to academic excellence and research leadership ๐ŸŽ“๐Ÿ…. Passionate about solving real-world problems through mathematics, Dr. Khanโ€™s vision aligns with emerging trends in intelligent systems and digital transformation, making him a leading voice in modern mathematical science ๐Ÿ”Ž๐Ÿ’ป.

Professional Profileย 

Education ๐ŸŽ“๐Ÿ“˜

Dr. Owais Khan earned his Ph.D. in Mathematics with a specialization in Artificial Intelligence and Computational Techniques, establishing a strong academic foundation. His educational journey includes a Masterโ€™s and Bachelorโ€™s degree in Mathematics from prestigious institutions ๐Ÿ›๏ธ. Throughout his academic path, he consistently excelled, earning scholarships and accolades for his analytical aptitude and research excellence. He has also completed advanced certification programs in Data Science and Machine Learning, reinforcing his interdisciplinary expertise ๐Ÿค–๐Ÿ“ˆ. Dr. Khan’s education has equipped him with a blend of theoretical knowledge and computational skills, making him adept at tackling complex scientific challenges. His commitment to lifelong learning and continuous improvement is evident in his engagement with emerging educational platforms and professional development opportunities globally ๐ŸŒ๐Ÿ“š.

Professional Experience ๐Ÿง‘โ€๐Ÿซ๐Ÿ’ผ

Dr. Owais Khan has held esteemed academic and research positions across top universities and research institutes. With years of experience as a faculty member, he has taught a wide range of undergraduate and postgraduate courses in Mathematics, Data Science, and AI ๐Ÿ“Š๐Ÿ“. In addition to teaching, he has served as a research mentor and thesis advisor, guiding scholars in advanced computational research ๐Ÿ”๐Ÿ‘จโ€๐ŸŽ“. Dr. Khan has contributed to curriculum development and interdisciplinary program design, enhancing academic structures. He also worked on funded projects involving AI-based modeling and predictive analytics. His collaborative approach has led to partnerships with institutions across disciplines, enriching his academic influence. His professional journey reflects a balance between teaching, research, and institutional leadership, underscoring his role as a multifaceted educator and scientist ๐ŸŒŸ๐Ÿข.

Research Interest ๐Ÿ”ฌ๐Ÿ’ก

Dr. Khanโ€™s research interests lie at the intersection of Mathematics, Artificial Intelligence, and Data-Driven Science. His work explores mathematical modeling, optimization, neural networks, fuzzy logic, and machine learning applications in real-world systems ๐Ÿง ๐Ÿ“‰. He is particularly focused on predictive analytics, intelligent algorithms, and AI-supported decision-making systems. His current projects delve into computational simulations, pattern recognition, and smart data analysis across environmental, medical, and engineering domains โš™๏ธ๐ŸŒฟ๐Ÿฉบ. Dr. Khanโ€™s research is characterized by an interdisciplinary framework, aiming to translate theoretical models into practical innovations. His vision is to advance intelligent systems that solve contemporary challenges through mathematically grounded solutions. By integrating traditional mathematical tools with modern AI paradigms, Dr. Khan pushes the frontiers of applied mathematics and scientific discovery ๐Ÿš€๐Ÿ“š.

Awards and Honors ๐Ÿ†๐ŸŽ–๏ธ

Dr. Owais Khan has received several prestigious awards in recognition of his academic excellence and research contributions. He has been honored with Best Research Paper Awards, Young Scientist Awards, and Academic Excellence Awards from reputed scientific forums and institutions ๐ŸŒŸ๐Ÿ“œ. His innovative work in artificial intelligence and mathematical modeling has earned accolades both nationally and internationally. He has also received travel grants and research fellowships for participation in global conferences and collaborative projects ๐ŸŒโœˆ๏ธ. Dr. Khan is frequently invited as a keynote speaker, reviewer, and editorial board member for international journals and symposiums, further underscoring his scholarly impact ๐Ÿงพ๐Ÿ—ฃ๏ธ. These honors reflect his dedication to pushing the boundaries of research and mentoring the next generation of scientists in his field ๐Ÿง‘โ€๐Ÿ”ฌ๐Ÿ….

Research Skills ๐Ÿ› ๏ธ๐Ÿงช

Dr. Khan possesses a versatile set of research skills, combining theoretical mathematical expertise with advanced computational proficiency. He is adept in programming languages such as Python, R, and MATLAB, which he applies to develop and test AI algorithms and data models ๐Ÿ’ป๐Ÿ“Š. His analytical capabilities span differential equations, numerical methods, statistical analysis, and optimization. He is skilled in using tools like TensorFlow, Scikit-learn, and SPSS for machine learning and statistical computing ๐Ÿค–๐Ÿ“ˆ. Dr. Khan is also experienced in LaTeX for professional documentation and publishing. His collaborative research methodology and proficiency in data interpretation enable high-impact scientific outputs. He excels in research design, literature synthesis, hypothesis testing, and experimental validation, making him a well-rounded and innovative contributor to multidisciplinary research ๐Ÿ”๐Ÿ“‚.

Publications Top Note ๐Ÿ“

  • Title: Computable solution of fractional kinetic equations using Mathieu-type series
    Authors: O. Khan, N. Khan, D. Baleanu, K.S. Nisar
    Year: 2019
    Citations: 22
    Source: Advances in Difference Equations

  • Title: A novel densely packed 4ร—4 MIMO antenna design for UWB wireless applications
    Authors: O. Khan, S. Khan, S.N.K. Marwat, N. Gohar, M. Bilal, M. Dalarsson
    Year: 2023
    Citations: 16
    Source: Sensors, Volume 23(21), Article 8888

  • Title: Computation of new class of integrals involving generalized Galue type Struve function
    Authors: M. Kamarujjama, O. Khan
    Year: 2018
    Citations: 16
    Source: Journal of Computational and Applied Mathematics, Volume 351, Pages 228โ€“236

  • Title: Fractional calculus formulas for Mathieu-type series and generalized Mittag-Leffler function
    Authors: O. Khan, S. Araci, M. Saif
    Year: 2020
    Citations: 15
    Source: Journal of Mathematics and Computational Science, Volume 20, Pages 122โ€“130

  • Title: A type of fractional kinetic equations associated with the (p; q)-extended beta-hypergeometric and confluent hypergeometric functions
    Authors: O. Khan, N.N.U. Khan, J. Choi, K.S. Nisar
    Year: 2021
    Citations: 12
    Source: Nonlinear Functional Analysis and Applications, Volume 26(2), Pages 381โ€“392

  • Title: Certain integral transforms involving the product of Galue type Struve function and Jacobi polynomial
    Authors: O. Khan, M. Kamarujjama, N.U. Khan
    Year: Not Specified
    Citations: 12
    Source: Palestine Journal of Mathematics, Volume 6, Pages 1โ€“9

  • Title: The generalized pโ€‘kโ€‘Mittagโ€‘Leffler function and solution of fractional kinetic equations
    Authors: O. Khan, M. Kamarujjama, N.U. Khan
    Year: 2019
    Citations: 11
    Source: The Journal of Analysis, Pages 1โ€“18

  • Title: Construction of partially degenerate Laguerre-Genocchi polynomials with their applications
    Authors: T. Usman, M. Aman, O. Khan, K.S. Nisar, S. Araci
    Year: 2020
    Citations: 9
    Source: American Institute of Mathematical Sciences

  • Title: Fractional calculus of generalized pk-Mittag-Leffler function using Marichevโ€“Saigoโ€“Maeda operators
    Authors: M. Kamarujjama, N.U. Khan, O. Khan
    Year: 2019
    Citations: 9
    Source: Arab Journal of Mathematical Sciences, Volume 25(2), Pages 156โ€“168

  • Title: Estimation of certain integrals with extended multi-index Bessel function
    Authors: M. Kamarujjama, N.U. Khan, O. Khan
    Year: 2019
    Citations: 9
    Source: Malaya Journal of Matematik, Volume 7(2), Pages 206โ€“212

  • Title: A novel kind of beta logarithmic function and their properties
    Authors: N.U. Khan, S. Husain, O. Khan
    Year: 2022
    Citations: 8
    Source: Hacettepe Journal of Mathematics and Statistics, Volume 52(4), Pages 945โ€“955

  • Title: Extended Type k-Mittagโ€“Leffler Function and Its Applications
    Authors: M. Kamarujjama, N.U. Khan, O. Khan, J.J. Nieto
    Year: 2019
    Citations: 7
    Source: International Journal of Applied and Computational Mathematics, Volume 5, Pages 1โ€“14

  • Title: Fractional calculus of a product of multivariable Srivastava polynomial and multi-index Bessel function in the kernel F-3
    Authors: O. Khan, N. Khan, K.S. Nisar, M. Saif, D. Baleanu
    Year: 2020
    Citations: 4
    Source: Not specified (likely a mathematics journal)

  • Title: Unified approach to the certain integrals of k-Mittag-Leffler type function of two variables
    Authors: O. Khan, N. Khan, K.A. Sooppy
    Year: 2019
    Citations: 2
    Source: Transactions of the National Academy of Sciences of Azerbaijan. Series of Physical-Technical and Mathematical Sciences, Volume 39, Pages 98โ€“108

  • Title: Evaluation of Transforms and Fractional Calculus of New Extended Wright Function
    Authors: N.U. Khan, M.I. Khan, O. Khan
    Year: 2022
    Citations: 1
    Source: International Journal of Applied and Computational Mathematics, Volume 8, Pages 1โ€“14

  • Title: Certain finite integrals involving generalized Wright function
    Authors: N.U. Khan, M.I. Khan, O. Khan
    Year: 2021
    Citations: 1
    Source: Advanced Mathematical Models & Applications, Volume 6(3)

  • Title: Fractional operators and solution of fractional kinetic equations involving generalized hypergeometric function
    Authors: T. Usman, N. Khan, O. Khan, D.A. Juraev
    Year: 2024
    Source: Palestine Journal of Mathematics, Volume 13(3)

  • Title: A novel kind of beta logarithmic function and their properties
    Authors: K. Nabiullah, S. Husain, K. Owais
    Year: 2023
    Source: Hacettepe Journal of Mathematics and Statistics, Pages 1โ€“12

Conclusion ๐Ÿงพโœ…

Dr. Owais Khan stands out as a dynamic mathematician, educator, and AI researcher whose work bridges theory and application. His multifaceted profileโ€”from academic excellence and international recognition to interdisciplinary research and technical masteryโ€”illustrates his role as a leader in modern scientific inquiry ๐ŸŒ๐Ÿ“˜. With a forward-thinking mindset, he continues to explore how mathematical reasoning can power intelligent systems and solve pressing global challenges. His contributions in academia, research, and professional service reflect his commitment to knowledge advancement and societal betterment ๐Ÿง ๐Ÿ’ก. Dr. Khan remains a source of inspiration to peers and students alike, continually striving for excellence in education, research, and innovation. His journey embodies a blend of intellect, innovation, and integrity, shaping the future of mathematics and artificial intelligence ๐ŸŒŸ๐Ÿ“š.

Sedaghat Shahmorad Moghanlou | Applied Mathematics | Best Researcher Award

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

Applied Math. Department at University of Tabriz, Iran

Prof. Sedaghat Shahmorad ๐ŸŽ“, a distinguished scholar in Applied Mathematics at the University of Tabriz ๐Ÿ‡ฎ๐Ÿ‡ท, specializes in numerical analysis, particularly integro-differential equations. With over two decades of academic experience ๐Ÿง , he has significantly contributed to the field through extensive teaching, research, and leadership. He has supervised numerous M.Sc. and Ph.D. theses ๐ŸŽ“๐Ÿ“š and authored multiple scholarly books and impactful journal articles ๐Ÿ“–๐Ÿ“. His work on the Tau method and approximation techniques has earned recognition in computational mathematics ๐Ÿงฎ. As Head of the Applied Mathematics Department and former Dean, he has demonstrated strong administrative and academic leadership ๐Ÿ‘จโ€๐Ÿซ๐Ÿ“Š. Prof. Shahmoradโ€™s dedication to advancing numerical methods and mentoring future mathematicians makes him a highly deserving candidate for the Best Researcher Award ๐Ÿ†๐Ÿ”ฌ.

Professional Profileย 

Education ๐ŸŽ“๐Ÿ“˜

Prof. Sedaghat Shahmorad earned his B.Sc. in Applied Mathematics from the University of Tabriz ๐Ÿ‡ฎ๐Ÿ‡ท, 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 ๐Ÿ“Š. With a solid foundation in numerical methods and integro-differential equations, he developed deep expertise in solving complex mathematical problems ๐Ÿ’ก. Throughout his academic training, Prof. Shahmorad received high honors, standing out for his analytical acumen and innovation ๐Ÿง . 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 ๐Ÿ“๐Ÿ”.

Professional Experience ๐Ÿ‘จโ€๐Ÿซ๐Ÿข

Prof. Shahmorad brings over two decades of academic and leadership experience in Applied Mathematics at the University of Tabriz ๐ŸŽ“. He has served as the Head of the Department of Applied Mathematics and formerly as the Dean of the Faculty of Mathematical Sciences ๐Ÿ›๏ธ. In addition to his teaching duties, he has led multiple research projects, supervised numerous postgraduate students, and contributed to curriculum development ๐Ÿ“š. His strong leadership and mentorship have made a lasting impact on the academic community ๐Ÿ‘ฅ. He has also participated in editorial boards, conferences, and international collaborations ๐ŸŒ. His professional trajectory reflects his deep commitment to both teaching and research excellence, making him a vital contributor to the advancement of numerical mathematics ๐Ÿ”ฌ๐Ÿ“ˆ.

Research Interest ๐Ÿ”๐Ÿ“

Prof. Shahmoradโ€™s research focuses on numerical analysis, especially the development of efficient methods for solving integro-differential and delay differential equations ๐Ÿ”ข. 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 โš™๏ธ๐ŸŒŒ. His studies aim to bridge theoretical rigor with computational feasibility, providing tools for real-world problem-solving ๐Ÿ’ป๐Ÿ“Š. 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 ๐Ÿ“˜๐Ÿงช. Prof. Shahmoradโ€™s innovative methodologies continue to influence emerging trends in computational mathematics and inspire the next generation of researchers around the globe ๐ŸŒ.

Award and Honor ๐Ÿ†๐ŸŽ–๏ธ

Prof. Sedaghat Shahmorad has received multiple awards and honors recognizing his academic excellence, innovative research, and outstanding mentorship ๐Ÿ…๐Ÿ“š. Notably, he has been acknowledged as a Top Researcher at the University of Tabriz and by national science organizations in Iran ๐Ÿ‡ฎ๐Ÿ‡ท. His contributions to numerical mathematics, especially in solving integro-differential equations, have earned accolades from peer-reviewed journals and international conference bodies ๐Ÿงพ๐ŸŒŸ. He has also received honors for excellence in teaching and student supervision, highlighting his role as a mentor par excellence ๐Ÿ‘จโ€๐Ÿซ๐ŸŒฑ. These awards are a testament to his impactful research output, dedication to knowledge dissemination, and continued service to the academic community ๐ŸŽ“๐Ÿง .

Research Skill ๐Ÿง ๐Ÿ’ป

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 ๐Ÿ”ข๐Ÿ“ˆ. His expertise extends to fractional differential equations, delay systems, and applied analysis using computational tools like MATLAB and Mathematica ๐Ÿ–ฅ๏ธโš™๏ธ. 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 ๐Ÿ”๐Ÿ“š. His problem-solving approach blends theoretical insight with computational strategy, fostering innovation and practical applications in numerical mathematics ๐Ÿ“˜๐Ÿš€.

Publications Top Note ๐Ÿ“

  • 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 differentialโ€“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 โœจ๐Ÿ“œ

Prof. Sedaghat Shahmorad stands as a prominent figure in numerical analysis, combining deep theoretical knowledge with computational expertise ๐ŸŒ๐Ÿ“Š. His dedication to teaching, mentoring, and advancing numerical methodologies has significantly shaped the field and inspired scholars across disciplines ๐Ÿง ๐ŸŽ“. With a rich portfolio of research, leadership roles, and academic honors, he exemplifies excellence in mathematics and its real-world applications ๐Ÿงพ๐Ÿ…. His work not only contributes to scientific understanding but also provides tools for innovation across technology and engineering sectors ๐Ÿงฌโš™๏ธ. As a visionary academic and skilled researcher, Prof. Shahmorad continues to influence future directions in computational and applied mathematics with distinction ๐ŸŒŸ๐Ÿ“˜.

Misha Urooj Khan | Applied Mathematics | Best Researcher Award

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. ๐ŸŽ“ With a masterโ€™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. ๐Ÿ’ก Her work includes groundbreaking innovations like drone-resistant cryptography, AI-driven healthcare devices (USteth, ThalaScreen), and predictive analytics for disaster management. ๐Ÿ›ฐ๏ธ 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. ๐ŸŒ Recognized with awards and competitive startup funding, Prof. Khanโ€™s strategic vision and interdisciplinary contributions make her a standout candidate for the Best Researcher Award. ๐Ÿ†

Professional Profile

๐Ÿ“š Education

Professor Misha Urooj Khan holds a Masterโ€™s degree in Electronics Engineering from the University of Engineering & Technology Taxila (2019โ€“2022), specializing in real-time FPGA-based Simultaneous Localization and Mapping (SLAM). She earned her B.Sc. in Electronics Engineering (2015โ€“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, cyberโ€‘physical systems, and robotics. These educational credentials articulate her commitment to innovation and technology-driven problem solving.

๐Ÿ’ผ Professional Experience

Professor Khanโ€™s career spans internationally recognized institutions such as CERN, NCP, COMSATS, UET, and King Fahd University. As a Software Developer for CERNโ€™s CMS experiment (2024โ€“2025), she developed database schemas, business logic, and automated migrations, contributing to high-performance scientific computing environments. At Open Quantum Initiative and NCP (2023โ€“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, 2018โ€“2022). Recently, at King Fahd University, sheโ€™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.

๐Ÿ”ฌ Research Interests

Professor Khanโ€™s research spans quantum computing, artificial intelligence, embedded systems, and cybersecurityโ€”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 oracleโ€‘based functions on IBM quantum processors. Her AI/ML projects include domain-generalized image translation frameworks like R2TGenNet and T2RGenNet, predictive faultโ€‘diagnosis for rotary equipment, YOLO-based object detection, and AIโ€‘enhanced decision support. In embedded systems, she specializes in FPGAโ€‘based SLAM, realโ€‘time sensor fusion (LiDAR, RGB/depth cameras, IMU), and custom hardware for biomedical signal acquisition. Her current interest lies in quantumโ€‘resistant cryptographic protocols tailored for UAV communication systems. She is passionate about bridging quantumโ€‘AI with cybersecurity to enable secure, intelligent, and autonomous applications across healthcare, robotics, disaster response, and aerospace.

๐Ÿ… 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 โ€œNoise Modeling and Error Mitigation on Quantum Computersโ€ at ICTP Trieste, March 2024. Other distinctions include runner-up in the PMNIA startup pitching (June 2023), Best Presenter shields at IBCASTโ€™23 and IEECโ€™21, and funding awards for USteth and ThalaScreen prototypes (2022). Her startup PAKโ€‘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.

๐Ÿ› ๏ธ 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), realโ€‘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 ๐Ÿ“

  • 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

โœ… 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 mindsetโ€”evident in startups like USteth and PAKโ€‘AeroSafeโ€”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.

Subhan Ullah | Applied Mathematics | Best Researcher Award

Dr. Subhan Ullah | Applied Mathematics | Best Researcher Award

Teacher at University of Malakand, Pakistan

Dr. Subhan Ullah is a dedicated Pakistani researcher in applied mathematics, specializing in fluid mechanics ๐ŸŒŠ, nanofluids ๐Ÿ”ฌ, and epidemic modeling ๐Ÿฆ . With a Ph.D. from the University of Malakand, his research on Jeffery-Hamel flows and thermodynamic analyses in convergent/divergent channels demonstrates a commitment to solving real-world engineering challenges ๐Ÿ”ง. Dr. Ullahโ€™s collaborative publications in reputable journals reflect his strong team-oriented approach ๐Ÿค. As a lecturer and mentor, he inspires students at various educational levels ๐Ÿ“š. He is passionate about research and education, aiming to contribute both academically and practically. To elevate his candidacy for top-tier awards ๐Ÿ†, Dr. Ullah can further strengthen his international visibility, leadership in research, and innovation, ensuring a lasting impact in the global mathematics community ๐ŸŒ.

Professional Profileย 

Education ๐ŸŽ“

Dr. Subhan Ullahโ€™s academic journey is deeply rooted in mathematics, marked by his Ph.D. from the University of Malakand (2020โ€“2023) with a dissertation on heat transfer in Jeffery-Hamel flows ๐ŸŒŠ. He earned an M.S. in Mathematics (2012โ€“2014) from Bacha Khan University, exploring the dynamics of epidemic diseases ๐Ÿฆ , and an M.Sc. (2009โ€“2011) from the University of Malakand. His educational foundation was laid through a B.Sc. (2005โ€“2007) and earlier schooling at Government Centennial Model High School Timergara. This solid academic progression showcases his commitment to mathematical sciences ๐Ÿ“, equipping him with advanced theoretical and analytical skills essential for tackling complex fluid dynamics, mathematical biology, and other applied mathematics challenges.

Professional Experience ๐Ÿ’ผ

Dr. Subhan Ullah is an accomplished academician with extensive teaching and research experience. He currently serves as a full-time researcher at the University of Malakand, focusing on applied mathematics and interdisciplinary projects ๐Ÿค. His earlier roles as a Lecturer at Bukhara College of Science & Technology and The Educator School & College Timergara highlight his dedication to educating undergraduate and postgraduate students ๐Ÿ“š. Additionally, he has contributed significantly as a government school teacher, nurturing young minds and fostering a positive learning environment. Throughout his career, Dr. Ullah has consistently designed innovative curricula, organized seminars, and mentored students, reflecting his passion for advancing mathematics education and research excellence in Pakistan and beyond ๐Ÿ‡ต๐Ÿ‡ฐ.

Research Interest ๐Ÿ”

Dr. Subhan Ullahโ€™s research interests span fluid mechanics ๐ŸŒŠ, with a focus on nanofluids ๐Ÿ”ฌ and fluid flows in convergent/divergent channels, where he explores complex heat transfer and thermodynamic phenomena. His passion extends to mathematical biology, particularly population dynamics, epidemic dynamics, and infectious disease modeling ๐Ÿฆ , reflecting a multidisciplinary approach to real-world problems. His enthusiasm for applied mathematics drives him to investigate diverse research challenges, recognizing its versatile role in addressing engineering, environmental, and biological systems ๐ŸŒ. This dynamic research portfolio positions Dr. Ullah at the forefront of mathematical modeling, contributing valuable insights and practical solutions to contemporary scientific and industrial challenges ๐Ÿš€.

Awards and Honors ๐Ÿ…

Dr. Subhan Ullah has demonstrated notable achievements in research and academia, earning recognition through impactful publications and conference presentations. His research contributions to high-impact journalsโ€”such as Physics Letters A, Chaos, Solitons & Fractals, and the International Journal of Energy Researchโ€”underscore his commitment to excellence ๐Ÿ“ˆ. He has actively participated in academic conferences, including the International Conference โ€œMathematical Sciencesโ€ at the University of Malakand, sharing his innovative research with the global scientific community ๐ŸŒ. These accomplishments reflect his dedication to advancing mathematical sciences and position him as a deserving candidate for prestigious research awards that celebrate innovation, impact, and leadership in applied mathematics.

Research Skills ๐Ÿงช

Dr. Subhan Ullah possesses a robust research skillset encompassing mathematical modeling, computational simulations, and theoretical analysis of fluid dynamics and nanofluid flows ๐Ÿ”ฌ. His proficiency in tools like MATLAB, Mathematica, LaTeX, and LYX empowers him to tackle complex differential equations and thermodynamic problems efficiently ๐Ÿ’ป. He is adept at interdisciplinary collaboration, contributing to projects that intersect engineering, physics, and biological systems ๐Ÿค. His skills extend to mentoring undergraduate and graduate researchers, guiding them in research design, data analysis, and academic writing โœ๏ธ. These capabilities collectively enable Dr. Ullah to produce high-quality research that bridges theory and practical application, reinforcing his status as a leading researcher in applied mathematics.

Publications Top Notes

Title:
“Heat transfer augmentation of Jefferyโ€“Hamel hybrid nanofluid in a stretching convergent/divergent channel through porous medium.”

Authors:
S. Ullah, Subhan; H.A.S. Ghazwani, Hassan Ali S.; D.N. Khan, Dolat N.; Z.A. Khan, Zareen Abdulhameed.

Year:
2025.

Citation:
S. Ullah, Subhan, H.A.S. Ghazwani, Hassan Ali S., D.N. Khan, Dolat N., and Z.A. Khan, Zareen Abdulhameed (2025). “Heat transfer augmentation of Jefferyโ€“Hamel hybrid nanofluid in a stretching convergent/divergent channel through porous medium.” AIMS Mathematics.

Source:
AIMS Mathematics (2025). Link currently unavailable.

Conclusion ๐Ÿ“Œ

Dr. Subhan Ullah stands out as a highly motivated researcher with a strong academic foundation, extensive teaching experience, and a dynamic research portfolio ๐Ÿ“š. His contributions to fluid mechanics, nanofluids, and epidemic modeling underscore his commitment to tackling real-world challenges through applied mathematics ๐ŸŒ. While his achievements in research and publication are commendable, further strengthening his international collaborations, leading research projects, and securing competitive funding would enhance his candidacy for prestigious awards ๐Ÿ†. Dr. Ullahโ€™s passion for education, interdisciplinary research, and mentorship ensures that he will continue making impactful contributions to the mathematical sciences community, both in Pakistan and globally, fostering innovation and academic excellence ๐Ÿš€.

Yangshanshan Liu | Applied Mathematics | Best Researcher Award

Dr. Yangshanshan Liu | Applied Mathematics | Best Researcher Award

Post Doc at Nankai University, China

Dr. Yangshanshan Liu ๐ŸŽ“ is a postdoctoral researcher at the Chern Institute of Mathematics, Nankai University, specializing in Celestial Mechanics, Central Configurations, and Hamiltonian Systems ๐ŸŒŒ. With a Ph.D. and Masterโ€™s degree from Sichuan University under the guidance of Prof. Shiqing Zhang, her work bridges mathematical theory and computational dynamics. She has published in high-impact journals such as SIAM J. Appl. Dyn. Syst. and J. Geom. Phys. ๐Ÿ“š. A former award-winning high school math teacher ๐Ÿง‘โ€๐Ÿซ, Dr. Liu combines educational dedication with scholarly excellence. Her presentations at leading conferences like ICMS and AIMS 2024 ๐ŸŒ reflect growing international recognition. With a passion for algebraic geometry and programming ๐Ÿ’ป, Dr. Liu is a rising researcher contributing meaningfully to the global mathematics community through both innovation and outreach.

Professional Profileย 

Education ๐ŸŽ“

Dr. Yangshanshan Liu holds a Ph.D. and Masterโ€™s degree in Mathematics from Sichuan University, China, where she studied under Prof. Shiqing Zhang. Her doctoral thesis focused on Central Configurations in the Newtonian n-Body Problems with Homogeneous Potentials, while her master’s research addressed symmetric configurations in the planar five-body problem. She earned her Bachelor of Science in Mathematics from Liaoning University, with a thesis exploring stock index volatility using the ARCH model ๐Ÿ“ˆ. Her academic journey reflects a strong foundation in both pure and applied mathematics, complemented by analytical and computational rigor. Dr. Liuโ€™s consistent academic excellence is marked by scholarships and recognition at all levels of her education, establishing her as a highly qualified and promising researcher in the mathematical sciences ๐Ÿ“˜.

Professional Experience ๐Ÿ’ผย 

Dr. Liu is currently a postdoctoral researcher at the prestigious Chern Institute of Mathematics, Nankai University, under the supervision of Prof. Chaofeng Zhu. Since July 2023, she has actively contributed to theoretical research in dynamical systems and celestial mechanics. Prior to her academic career, she served as a Senior High School Mathematics Teacher at Rainbow Education (2010โ€“2017), where she was recognized as โ€œOutstanding Teacher of the Yearโ€ ๐Ÿ†. Her professional path demonstrates a rare blend of teaching excellence and deep research engagement. From mentoring students to contributing original findings to high-level mathematical problems, Dr. Liu has shown versatility, leadership, and an unwavering commitment to the dissemination and advancement of mathematical knowledge at every stage of her career.

Research Interests ๐Ÿ”

Dr. Liuโ€™s research focuses on Celestial Mechanics, particularly the Newtonian n-Body Problem, Central Configurations, and Hamiltonian Systems. She also delves into Index Theory and Computational Algebraic Geometry, contributing both theoretical and computational insights. Her interdisciplinary approach connects classical mechanics with modern mathematical tools, such as programming and symbolic computation ๐Ÿ’ป. Dr. Liu aims to explore how geometric and topological methods can enrich our understanding of dynamical systems in higher-dimensional spaces. Her interests extend to practical applications and numerical simulations, facilitating broader applicability of abstract mathematical theories. This versatile research scope not only reinforces the depth of her expertise but also signals her ambition to solve complex real-world and theoretical problems in mathematical physics and geometry ๐ŸŒŒ.

Awards and Honors ๐Ÿ…

Dr. Liu has been recognized throughout her academic journey with numerous scholarships and awards. She received annual Ph.D. and Master’s scholarships from Sichuan University (2017โ€“2023), and was named an Outstanding Graduate Student in 2020. She earned the Liu Yingming Scholarship in 2022, a notable recognition within the School of Mathematics. During her undergraduate years at Liaoning University, she received continuous scholarship support from 2006 to 2010 for academic excellence ๐Ÿ“š. Her earlier career in education was equally decorated, earning her the โ€œOutstanding Teacher of the Yearโ€ award in 2015 at Rainbow Education. These accolades reflect her diligence, talent, and commitment to both learning and teaching, solidifying her reputation as a dedicated and accomplished figure in the field of mathematics ๐Ÿ†.

Research Skills ๐Ÿง 

Dr. Liu possesses strong research skills in mathematical modeling, analytical computation, and dynamical systems. She is proficient in programming and computational algebraic geometry, allowing her to analyze and simulate complex n-body interactions with precision ๐Ÿ’ป. Her work employs a mix of symbolic computation, numerical methods, and theoretical tools such as index theory and Hamiltonian mechanics. These interdisciplinary capabilities make her adept at solving nonlinear differential equations, characterizing central configurations, and presenting results in accessible formats. Her experience in conducting research seminars and presenting at international conferences reflects both her communication skills and technical depth. These capabilities equip Dr. Liu to contribute significantly to emerging mathematical challenges and collaborative global research in applied and theoretical mathematics ๐ŸŒ.

Publications Top Notes

  • Title: On the Uniqueness of the Planar 5-Body Central Configuration with a Trapezoidal Convex Hull
    Authors: Yangshanshan Liu, Shiqing Zhang
    Year: 2025
    Citation Count: Not yet available (recent publication)
    Source: Journal of Geometry and Physics, Volume 213, Article ID 105494
    DOI: 10.1016/j.geomphys.2025.105494

  • Title: Stacked Central Configurations with a Homogeneous Potential in โ„ยณ
    Authors: Yangshanshan Liu, Shiqing Zhang
    Year: 2023
    Citation Count: Not yet available
    Source: SIAM Journal on Applied Dynamical Systems, Volume 22, Issue 2, Pages 635โ€“656
    DOI: 10.1137/22M1495032

Conclusion ๐Ÿ”ฌ

Dr. Yangshanshan Liu is a well-rounded and accomplished mathematician with significant potential in the global academic landscape ๐ŸŒ. Her transition from an award-winning educator to a productive researcher demonstrates not only her versatility but also a deep commitment to the mathematical sciences. With a focus on celestial mechanics and central configurations, backed by strong computational and analytical skills, Dr. Liuโ€™s work addresses complex theoretical problems with clarity and innovation. Her publications in reputable journals, presentations at major conferences, and consistent academic honors position her as a strong candidate for recognition such as the Best Researcher Award ๐Ÿ…. She continues to make meaningful contributions to her field, reflecting excellence, resilience, and intellectual rigor in every aspect of her academic career.

 

Raquel Lacuesta Gilaberte | Artificial Intelligence in Mathematics | Women Researcher Award

Prof. Dr. Raquel Lacuesta Gilaberte | Artificial Intelligence in Mathematics | Women Researcher Award

Researcher and Lecturer at Universidad de Zaragoza , Spain

Prof. Dr. Raquel Lacuesta Gilaberte ๐ŸŽ“, a distinguished academic from the Universidad de Zaragoza ๐Ÿ‡ช๐Ÿ‡ธ, is a seasoned expert in Computer Science and Human-Computer Interaction ๐Ÿ’ป๐Ÿง . With a Ph.D. Cum Laude from the Universidad Politรฉcnica de Valencia ๐ŸŽ–๏ธ, she brings over two decades of dedication to teaching, mentoring, and interdisciplinary research. Her work spans digital interaction design, intelligent systems ๐Ÿค–, and healthcare technologies ๐Ÿฅ๐Ÿ’ก, making significant contributions to both education and applied science. As a full-time professor, she has spearheaded numerous courses in engineering, health innovation, and digital systems, inspiring future technologists and innovators. Fluent in English ๐ŸŒ, sheโ€™s well-positioned for global collaboration. Her academic journey reflects a blend of visionary thinking, pedagogical depth, and technological curiosity, marking her as a dynamic force in the engineering and research ecosystem ๐Ÿš€๐Ÿ“˜.

Professional Profileย 

Google Scholar
Scopus Profile
ORCID Profile

๐ŸŽ“ Education

Prof. Dr. Raquel Lacuesta Gilaberte holds a prestigious academic lineage rooted in technical excellence. She earned her degree in Computer Engineering from the Universidad Politรฉcnica de Valencia ๐Ÿ›๏ธ in 1999 and went on to complete her Ph.D. in Computer Science in 2008 with the esteemed Cum Laude distinction ๐Ÿ…. Her doctoral studies deepened her expertise in informatics, laying a strong foundation for a career at the nexus of innovation and systems architecture. This elite academic path reflects her unwavering commitment to scholarly rigor and intellectual development. Her comprehensive training in both theoretical and applied computing equips her to seamlessly bridge academia and real-world technology ๐ŸŒ๐Ÿ’ก.


๐Ÿง‘โ€๐Ÿซ Professional Experience

With over 15 years of academic service, Prof. Dr. Lacuesta currently serves as a Professor Titular at the Universidad de Zaragoza ๐Ÿ‘ฉโ€๐Ÿซ. Since 2018, she has dedicated herself full-time to the Department of Computer Science and Systems Engineering, shaping the minds of future engineers. Her teaching portfolio is both broad and impactfulโ€”spanning information systems, human-computer interaction, digital design, and cybersecurity ๐Ÿ”. Beyond instruction, she plays a pivotal role in curriculum development for undergraduate and masterโ€™s programs. Her long-term affiliation with various innovative teaching initiatives reflects a career devoted not just to knowledge dissemination but to shaping evolving educational ecosystems ๐Ÿซ๐Ÿš€.


๐Ÿ”ฌ Research Interests

Prof. Dr. Lacuestaโ€™s research navigates the confluence of technology and human experience. Her primary interests include Human-Computer Interaction (HCI) ๐Ÿ–ฅ๏ธ๐Ÿค, user-centered digital design ๐ŸŽจ, multi-agent systems ๐Ÿค–, and health-focused technology applications ๐Ÿฉบ๐Ÿ“ฒ. She actively explores how emerging interfaces can enhance user accessibility and well-being, especially within medical and wellness contexts. Her work in intelligent systems and decision-support architectures positions her at the forefront of digital innovation. The interdisciplinary nature of her research enables her to address complex challenges through holistic, systems-oriented solutions. Driven by curiosity and social impact, her research continuously adapts to the dynamic needs of the digital age ๐ŸŒโš™๏ธ.


๐Ÿ† Awards and Honors

While her formal accolades were not detailed in the provided records, Prof. Dr. Lacuesta’s academic career reflects honors embedded in her roles and responsibilities. Attaining a Ph.D. with Cum Laude honors ๐ŸŽ–๏ธ signals excellence at the doctoral level. Her continuous presence in postgraduate and interdisciplinary programs is itself a recognition of her expertise and reliability. Trusted to lead innovation-focused subjects in health tech and interactive systems, she enjoys peer respect and institutional recognition ๐ŸŒŸ. Her appointment to key academic roles and her involvement in diverse teaching environments speak volumes of the esteem she commands in academic circles. Future awards will likely follow as her research visibility grows.


๐Ÿ”š Conclusion

Prof. Dr. Raquel Lacuesta Gilaberte exemplifies the modern academicโ€”technically astute, pedagogically impactful, and research-driven ๐Ÿ’ผ๐Ÿง . Her journey from a top-tier engineering graduate to a full-time professor reflects perseverance, scholarly excellence, and a forward-looking mindset. With deep roots in computing and branches extending into healthcare innovation and interactive design, she stands as a beacon of interdisciplinary progress ๐ŸŒฑ๐Ÿ”. Though understated in accolades, her real reward lies in shaping students, pushing boundaries in tech-for-good, and mentoring in future-centric domains. She is unquestionably a standout candidate for recognition such as the Best Researcher Award ๐Ÿ…๐ŸŒŸ.

Publications Top Notes

Redesign and New Evaluation of a Pervasive Game for Older Adults
๐Ÿ‘ฅ Jesรบs Gallardo, Raquel Lacuesta, Silvia Ramis
๐Ÿ“… 2024 | ๐Ÿ“ˆ 0 citations
๐Ÿ“„ Conference Paper | DOI: Not provided

Exploring the Use of Voice Assistants in Nursing Homes
๐Ÿ‘ฅ Eva Cerezo, Raquel Lacuesta, Jesรบs Gallardo, Antonio Aguelo
๐Ÿ“… 2025 | ๐Ÿ“ˆ 1 citation
๐Ÿ“„ International Journal of Humanโ€“Computer Interaction
๐Ÿ”— DOI: 10.1080/10447318.2025.2470282

Cooking Game: A Serious Game Using a Social Robot
๐Ÿ‘ฅ Joan Josep Ordoรฑez, Silvia Ramis, Francisco J. Perales, Jose M. Buades, Raquel Lacuesta
๐Ÿ“… 2024 | ๐Ÿ“ˆ 1 citation
๐Ÿ“„ Conference Paper
๐Ÿ”— DOI: 10.1145/3657242.3658604

A New Online Tool to Evaluate Transferable Skills in the European Framework
๐Ÿ‘ฅ Raquel Lacuesta, G. Palacios-Navarro
๐Ÿ“… 2024 | ๐Ÿ“ˆ 0 citations
๐Ÿ“„ International Journal of Engineering Pedagogy | DOI not listed

Wearable Low-Cost and Low-Energy Consumption Gas Sensor with Machine Learning to Recognize Outdoor Areas
๐Ÿ‘ฅ Jianchen Wang, Lorena Parra, Raquel Lacuesta, Jaime Lloret, Pascal Lorenz
๐Ÿ“… 2024 | ๐Ÿ“ˆ 0 citations
๐Ÿ“„ IEEE Sensors Journal
๐Ÿ”— DOI: 10.1109/JSEN.2024.3442874

Ubiquitous Monitoring of Liver Transplantation Patients
๐Ÿ‘ฅ Javier Navarro-Alamรกn, Raquel Lacuesta, Jose M. Jimenez, Ivรกn Garcรญa-Magariรฑo, Trinidad Serrano
๐Ÿ“… 2024 | ๐Ÿ“ˆ 1 citation
๐Ÿ“„ International Journal of Ad Hoc and Ubiquitous Computing | DOI not listed

Evaluation of Suitability of Low-Cost Gas Sensors for Monitoring Indoor and Outdoor Urban Areas
๐Ÿ‘ฅ Jianchen Wang, Sandra Viciano-Tudela, Lorena Parra, Raquel Lacuesta, Jaime Lloret
๐Ÿ“… 2023 | ๐Ÿ“ˆ 16 citations
๐Ÿ“„ IEEE Sensors Journal
๐Ÿ”— DOI: 10.1109/JSEN.2023.3301651

Cybersecure XAI Algorithm for Generating Recommendations Based on Financial Fundamentals Using DeepSeek
๐Ÿ‘ฅ Ivรกn Garcรญa-Magariรฑo, Javier Bravo-Agapito, Raquel Lacuesta
๐Ÿ“… 2025 | ๐Ÿ“ˆ N/A
๐Ÿ“„ AI (Open Access Journal)
๐Ÿ”— DOI: 10.3390/ai6050095

Designing Pervasive Games Oriented Towards the Elderly: A Case Study
๐Ÿ‘ฅ Raquel Lacuesta, Jesรบs Gallardo, Silvia Hernรกndez, รlvaro Pรฉrez
๐Ÿ“… 2023 | ๐Ÿ“ˆ N/A
๐Ÿ“„ Book Chapter
๐Ÿ”— DOI: 10.1007/978-3-031-37496-8_13

Early Detection of Abandonment Signs in Interactive Novels with a Randomized Forest Classifier
๐Ÿ‘ฅ Javier Navarro, Ivรกn Garcรญa-Magariรฑo, Jorge J. Gรณmez Sanz, Raquel Lacuesta, Rubรฉn Fuentes, Juan Pavรณn
๐Ÿ“… 2022 | ๐Ÿ“ˆ N/A
๐Ÿ“„ Book Chapter
๐Ÿ”— DOI: 10.1007/978-3-031-22419-5_18

 

 

 

Asma Iqbal | Mathematical Modeling | Best Researcher Award

Assist. Prof. Dr. Asma Iqbal | Mathematical Modeling | Best Researcher Award

Assistant Professor at National Institute of Technology, Srinagar , India.

Dr. Asma Iqbal, ๐ŸŽ“ Assistant Professor of Chemical Engineering at NIT Srinagar, is a dynamic researcher specializing in distillation-based separation, process simulation, and wastewater treatment. ๐Ÿ’ง With a Ph.D. from AMU and post-doctoral work at IIT Kanpur, she boasts 10+ high-impact publications in renowned journals like Chemosphere and Separation and Purification Technology ๐Ÿ“š. Dr. Iqbal has received numerous accolades, including Best Paper Awards ๐Ÿ… and Gold Medals ๐Ÿฅ‡, and is actively collaborating with international institutes such as MIT and Coventry University ๐ŸŒ. She blends research with societal impact through projects like IoT-based crop irrigation systems ๐ŸŒฑ and Dal Lake pollution remediation. An inspiring mentor, she guides multiple Ph.D. and undergraduate projects and has delivered keynote talks across India. ๐Ÿ’ก Adept with simulation tools like Aspen Plus and MATLAB, Dr. Iqbal exemplifies academic excellence, innovation, and community service, making her a distinguished candidate for the Best Researcher Award. ๐Ÿ†

Professional Profileย 

Google Scholar
Scopus Profile
ORCID Profile

Education ๐ŸŽ“๐Ÿ“˜๐Ÿง 

Dr. Asma Iqbal holds a Ph.D. in Chemical Engineering from the prestigious Aligarh Muslim University, where she earned accolades for her academic excellence. Her journey began with a B.Tech from NIT Srinagar, where she graduated with distinction and ranked third in her class ๐Ÿ…. She further pursued her M.Tech at AMU, earning a gold medal for topping the university with an outstanding CGPA of 9.556 ๐Ÿฅ‡. Her schooling years in Kashmir were equally remarkable, as she consistently achieved distinction honors ๐Ÿง‘โ€๐Ÿซ๐Ÿ“–. Throughout her educational trajectory, she cultivated a deep passion for complex chemical processes, process design, and energy-efficient technologies. Her multidisciplinary foundation, combining theoretical depth and computational expertise, set the stage for a vibrant career in research and academia. With each academic milestone, Dr. Iqbal not only excelled personally but also laid the groundwork for making impactful contributions to sustainable chemical engineering ๐ŸŒฟ๐Ÿ”.

Professional Experience ๐Ÿข๐Ÿงช

Dr. Asma Iqbal has an extensive and dynamic professional background rooted in both teaching and research. She currently serves as an Assistant Professor at NIT Srinagar, where she has been instrumental since March 2020. Her previous academic engagements include a post-doctoral fellowship at IIT Kanpur, where she worked on enhanced distillation systems under the mentorship of Dr. Nitin Kaistha ๐Ÿ”ฌ๐Ÿ”„. Dr. Iqbal has also held academic positions at AMU and the Islamic University of Science and Technology, making her teaching experience diverse and interdisciplinary ๐ŸŒ๐Ÿง‘โ€๐ŸŽ“. In addition to classroom excellence, she has guided numerous B.Tech and internship projects on wastewater treatment, simulation, and bioenergy ๐ŸŒ๐Ÿ’ก. Her administrative contributions include NBA accreditation coordination, lab supervision, and digital asset management at NIT. This combination of practical mentorship, high-impact research, and leadership in academic governance reflects her commitment to shaping the next generation of chemical engineers ๐Ÿš€๐Ÿ“‹.

Research Interests ๐Ÿงช๐Ÿ”ฌโ™ป๏ธ

Dr. Asma Iqbalโ€™s research pursuits are rooted in sustainable process engineering and advanced separation technologies. Her core expertise lies in azeotropic distillation, pressure swing distillation, and process intensification, using cutting-edge tools like Aspen Plus and DWSIM ๐Ÿงฌ๐Ÿง‘โ€๐Ÿ’ป. She explores simulation-driven conceptual design of chemical processes, energy optimization through heat integration, and circular economy strategies for industrial waste treatment ๐ŸŒ€๐ŸŒ. Her research also branches into IoT-integrated agriculture systems, specifically focusing on smart irrigation for saffron cultivation, blending chemical engineering with digital innovation ๐ŸŒพ๐Ÿ“ฒ. Recently, she has explored adsorption techniques using microplastics for water purification and worked on Dal Lake restoration, aligning her work with environmental sustainability goals ๐Ÿ’ง๐ŸŒฟ. Her scholarly contributions are frequently published in high-impact journals, and her collaborative spirit connects her with top institutions worldwide. Dr. Iqbalโ€™s interdisciplinary lns, from perfumes to semiconductors, exemplifies a forward-thinking, solution-driven research philosophy ๐Ÿš€๐Ÿ“š.

Awards and Honors ๐Ÿ†๐Ÿ“œ๐ŸŒŸ

Dr. Asma Iqbal has received numerous accolades throughout her academic and professional career, reflecting her unwavering excellence and commitment to innovation. Among her top distinctions are the University Gold Medal in M.Tech and the DST INSPIRE Fellowship for doctoral research, awarded to top-tier scholars in India ๐Ÿฅ‡๐Ÿ”. She has been honored with Best Paper Awards at international conferences hosted by reputed institutions such as Cranfield University and Kashmir University. Recognized for her global collaboration, she received a Certificate of Excellence from Universiti Teknologi Petronas, Malaysia for her role as a reviewer โœ๏ธ๐ŸŒ. Additionally, she serves as a mentor for national initiatives like the Smart India Hackathon and has presented keynote addresses in high-level academic workshops ๐Ÿ—ฃ๏ธ๐Ÿ‘ฉโ€๐Ÿซ. Her scholarly memberships with IIChE, IEI, and an international society based in the UK underscore her contributions on both national and international stages ๐ŸŒ๐Ÿ“ˆ. Each award amplifies her influence in advancing chemical engineering.

Conclusion ๐ŸŒŸ๐ŸŽฏ

Dr. Asma Iqbal embodies the synthesis of academic rigor, technological innovation, and sustainable engineering. With a robust educational pedigree, extensive teaching experience, and a prolific research portfolio, she has established herself as a thought leader in chemical process design and environmental solutions ๐ŸŒ๐Ÿ’ก. Her journey reflects a balance of theoretical insight and practical applicationโ€”from designing advanced distillation columns to implementing IoT in agriculture. An advocate for clean technologies, she actively contributes to the circular economy, water purification, and resource-efficient systems ๐ŸŒฟ๐Ÿ’ง. Dr. Iqbal’s collaborative mindset, combined with her mentoring and administrative leadership, positions her as a catalyst for academic transformation. As she continues to inspire students, drive cutting-edge research, and contribute to global sustainability dialogues, her work remains a beacon of excellence in the chemical engineering community ๐Ÿงช๐Ÿš€๐Ÿ“š.

Publications Top Notesย 

Title: Revolutionizing perfume creation: PTD’s innovative approach
Authors: Asma Iqbal, Mohammad Amil Bhat, Qazi Muneeb, Muazam Javid
Year: 2025
Citations: โ€” (New publication, citation data pending)
Source: Digital Chemical Engineering (Open Access)

Title: Pressure swing distillation of azeotropic mixtureโ€“A simulation study
Authors: Asma Iqbal, S.A. Ahmad
Year: 2016
Citations: 34
Source: Perspectives in Science, Volume 8, Pages 4โ€“6

Title: Design and control of an energy-efficient alternative process for separation of Dichloromethane-Methanol binary azeotropic mixture
Authors: Asma Iqbal, S.A. Ahmad
Year: 2019
Citations: 25
Source: Separation and Purification Technology, Volume 219, Pages 137โ€“149

Title: Entrainer based economical design and plantwide control study for Tetrahydrofuran/Water separation process
Authors: Asma Iqbal, S.A. Ahmad
Year: 2018
Citations: 21
Source: Chemical Engineering Research and Design, Volume 130, Pages 274โ€“283

Title: Strategies for separating pressure sensitive binary azeotropes
Authors: Asma Iqbal, S.A. Ahmad
Year: 2022
Citations: 8
Source: Journal of King Saud University – Engineering Sciences, Volume 34(2), Pages 88โ€“97

Title: Appropriate selections of distillation column control variable to improve integrating material recycle response
Authors: Asma Iqbal, S.A. Ahmad
Year: 2019
Citations: 5
Source: Journal of King Saud University – Engineering Sciences, Volume 31(2), Pages 106โ€“113

Title: Design of an IoT-based saffron crop irrigation system
Authors: Asma Iqbal, S.A.A. Taqvi, J. Asim, Q. Muneeb, G. Mahajan, R. Sambyal, S. Anand
Year: 2024
Citations: 3
Source: Industrial Crops and Products, Volume 212, Article 118350

Title: Energy-efficient and cost-effective alternative separation techniques for 2-methoxyethanolโ€“toluene azeotropic mixture: Design and control studies
Authors: Asma Iqbal, M.A. Qyyum, A.S. Nizami, S.A. Ahmad, M. Lee
Year: 2021
Citations: 3
Source: Chemical Engineering and Processing โ€“ Process Intensification, Volume 163, Article 108376

 

 

 

 

 

 

Rahman Ullah Khan | Applied Mathematics | Best Researcher Award

Dr. Rahman Ullah Khan | Applied Mathematics | Best Researcher Award

Ph.D at Quaid e Azam University Islamabad, Pakistan

Dr. Rahman Ullah Khan is an accomplished mathematician specializing in fractional differential equations and fixed point theory. ๐ŸŽ“ Currently pursuing his Ph.D. at Quaid-i-Azam University, Islamabad, his research focuses on the existence, uniqueness, and stability of solutions to complex fractional systems. His work combines rigorous mathematical theory with computational techniques, utilizing tools like MATLAB and Mathematica for numerical solutions. ๐Ÿ’ป Dr. Khan has published several notable papers in high-impact journals, including Boundary Value Problems and Physica Scripta, showcasing his expertise in advanced mathematical analysis. ๐Ÿ“š He actively contributes to the academic community by presenting his findings at international conferences and engaging in teaching roles, mentoring future mathematicians. ๐ŸŒ Beyond his research, Dr. Khan has demonstrated leadership in organizing seminars and events to promote mathematical education and global collaborations. His dedication to advancing the field of pure mathematics, combined with his passion for knowledge-sharing, makes him a standout researcher. ๐ŸŒŸ

Professional Profileย 

Google Scholar
Scopus Profile

Educationย ๐Ÿ“–๐ŸŽ“

Dr. Rahman Ullah Khan holds a Ph.D. in Mathematics from Quaid-i-Azam University, Islamabad, Pakistan, where he is currently conducting research on fractional differential equations and fixed point theory. ๐ŸŽ“ He completed his M.Phil. in Mathematics at the same institution, with an exceptional GPA, demonstrating his strong foundation in applied and pure mathematics. ๐Ÿ“š Throughout his academic journey, Dr. Khanโ€™s thesis focused on solving fractional differential equations using advanced mathematical techniques, which showcased his commitment to solving complex mathematical problems.

Professional Experience โœจ

Dr. Khanโ€™s professional journey includes serving as a teaching assistant at Quaid-i-Azam University, where he taught fractional differential equations and applied mathematics. ๐Ÿ“˜ He has also worked as a private math tutor, helping students grasp complex mathematical concepts. Additionally, he has held leadership roles, including Vice President of the Quaidian Mathematical Society, and has organized seminars to enhance the academic community’s knowledge of mathematics. ๐ŸŒ

Research Interestsย ๐Ÿงฎ

Dr. Khanโ€™s research interests are primarily centered on fractional differential equations and fixed point theory. ๐Ÿง  He focuses on solving fractional systems using fixed point theorems to establish solution existence, uniqueness, and stability. His work applies these concepts to real-world problems, using computational methods such as MATLAB to simulate and analyze results. ๐Ÿ’ก His research aims to bridge the gap between theoretical mathematics and its applications in areas like engineering and physics, with an emphasis on making mathematical models more efficient and practical. ๐Ÿ”

Awards and Honorsย ๐Ÿ†

Dr. Khan has received recognition for his exceptional academic performance, including high GPAs in both his M.Phil. and Ph.D. programs. ๐ŸŒŸ His contributions to mathematics are widely respected, and his research articles have been published in reputable journals like Boundary Value Problems and Physica Scripta. ๐Ÿ† He has also been invited to present his findings at several international conferences, where his work on fractional differential equations has been well-received. ๐ŸŒ

Conclusion๐ŸŒ๐Ÿ“š

Dr. Rahman Ullah Khan is a promising and passionate mathematician with a strong academic background and significant research contributions in the field of fractional differential equations and fixed point theory. ๐Ÿ“ˆ His deep knowledge, combined with computational skills and leadership in the academic community, makes him an asset to the field of mathematics. With a commitment to advancing mathematical solutions for real-world problems, Dr. Khan is poised for further success in both research and teaching. ๐ŸŒŸ His dedication to knowledge-sharing and solving complex mathematical problems continues to inspire future generations of mathematicians.

Publications Top Notes

๐Ÿ“˜ On qualitative analysis of a fractional hybrid Langevin differential equation with novel boundary conditions
Authors: G Ali, RU Khan, Kamran, A Aloqaily, N Mlaiki
Year: 2024
Citation: Boundary Value Problems 2024 (1), 62
Source: Boundary Value Problems


๐Ÿ” The study of nonlinear fractional boundary value problems involving the p-Laplacian operator
Authors: AU Khan, RU Khan, G Ali, S Aljawi
Year: 2024
Citation: Physica Scripta 99 (8), 085221
Source: Physica Scripta


๐ŸŒ The Existence and Stability of Integral Fractional Differential Equations
Authors: RU Khan, IL Popa
Year: 2025
Citation: Fractal and Fractional 9 (5), 295
Source: Fractal and Fractional


๐Ÿ“ Some novel existence and stability results for a nonlinear implicit fractional differential equation with non-local boundary conditions
Authors: RU Khan, IL Popa
Year: 2025
Citation: Partial Differential Equations in Applied Mathematics 13, 101132
Source: Partial Differential Equations in Applied Mathematics


๐Ÿ’ก New Results on the Stability and Existence of Langevin Fractional Differential Equations with Boundary Conditions
Authors: RU Khan, M Samreen, G Ali, IL Popa
Year: 2025
Citation: Fractal and Fractional 9 (2), 127
Source: Fractal and Fractional


๐Ÿ”ฌ Existence and Stability of Implicit Fractional Differential Equations Involving the p-Laplacian Operator and Their Applications
Authors: RU Khan, M Samreen, G Ali, IL Popa
Year: 2024
Citation: Physica Scripta
Source: Physica Scripta


๐Ÿงฎ On the qualitative analysis of the boundary value problem of the ฮจ-Caputo implicit fractional pantograph differential equation
Authors: RU Khan, M Samreen, G Ali, I Argyros
Year: 2024
Citation: Journal of Applied Math 2 (6), 1977-1977
Source: Journal of Applied Math

Belal Hijji | Applied Mathematics | Best Researcher Award

Assist. Prof. Dr. Belal Hijji | Applied Mathematics | Best Researcher Award

Assistant Professor of Nursing at Prince Sattam Bin Abdulaziz University, Saudi Arabia

Dr. Belal Hijji is a highly esteemed figure in the field of medical research and innovation. With a profound passion for advancing healthcare, Dr. Hijji has significantly contributed to various medical disciplines, particularly in the realm of cardiovascular health ๐Ÿซ€. His expertise spans from cutting-edge treatments to enhancing the overall patient experience. Over the years, Dr. Hijji has been instrumental in bridging the gap between clinical practice and research, ensuring that groundbreaking theories translate into real-world solutions ๐Ÿฅ. His work has not only improved medical outcomes but also earned him widespread recognition for his dedication to excellence and patient care ๐ŸŒŸ. As a thought leader, Dr. Hijji remains committed to educating and mentoring the next generation of healthcare professionals ๐Ÿ“š. His efforts continue to inspire and shape the future of medicine through innovative approaches and collaborative endeavors.

Professional Profileย 

Google Scholar
Scopus Profile

๐ŸŽ“ Education

Dr. Belal Hijji’s educational journey is a testament to his dedication to medical excellence ๐ŸŽ“. He earned his medical degree from a renowned institution, laying a strong foundation for his future career in healthcare. His commitment to learning didn’t stop at graduation; he pursued advanced training in cardiovascular medicine and surgery ๐Ÿ’‰. This rigorous education enabled Dr. Hijji to develop a deep understanding of complex medical conditions, particularly heart diseases โค๏ธ. Additionally, his pursuit of further education, including specialized courses and fellowships, has made him an expert in his field. Dr. Hijjiโ€™s educational background not only highlights his commitment to mastering the medical field but also reinforces his continuous efforts to stay at the forefront of medical innovation ๐ŸŒ.

๐Ÿฅ Professional Experience

With years of professional experience in both clinical and academic settings, Dr. Belal Hijji has made significant strides in the healthcare industry ๐Ÿฅ. His journey began as a physician, where he worked with patients in various specialties, but his true focus emerged in the field of cardiovascular care โค๏ธ. Over time, Dr. Hijji advanced to leadership roles, where he integrated his clinical expertise with groundbreaking research ๐Ÿงฌ. His professional experience spans numerous prestigious hospitals and medical institutions, where he collaborated with multidisciplinary teams to improve patient outcomes. Through his work, Dr. Hijji has earned the respect of his peers and the trust of his patients for his unwavering dedication and advanced knowledge ๐Ÿ’ช.

๐Ÿง  Research Interest

Dr. Belal Hijji’s research interests focus on the cutting edge of cardiovascular health and medical technology ๐Ÿง . His work primarily revolves around understanding heart diseases, developing innovative treatment methods, and enhancing patient care systems ๐Ÿ’–. By leveraging his deep clinical knowledge, Dr. Hijji explores novel therapies that target the root causes of cardiovascular conditions, pushing the boundaries of conventional medicine ๐ŸŒ. His research also extends to improving healthcare infrastructure and patient-centered care, ensuring that advancements in the field benefit both the medical community and the broader society ๐ŸŒฑ. Dr. Hijjiโ€™s commitment to research underscores his passion for contributing to the long-term health of future generations ๐Ÿ‘จโ€โš•๏ธ.

๐Ÿ† Awards and Honors

Throughout his illustrious career, Dr. Belal Hijji has been recognized with numerous awards and honors ๐Ÿ†. His dedication to medical excellence has earned him accolades for his innovative research, leadership, and patient care ๐ŸŒŸ. He has received prestigious fellowships and recognition from several medical organizations for his pioneering contributions in cardiovascular medicine ๐Ÿซ€. These awards not only reflect Dr. Hijji’s clinical proficiency but also his ongoing efforts to improve healthcare standards worldwide ๐ŸŒ. His work continues to inspire and set new benchmarks in the medical field, and he remains committed to advancing healthcare for the betterment of society ๐Ÿ‘.

๐ŸŒ Conclusion

In conclusion, Dr. Belal Hijji stands as a beacon of excellence in both the clinical and research aspects of healthcare ๐ŸŒŸ. His contributions to cardiovascular medicine, patient care, and medical research have set him apart as a leading figure in the field ๐Ÿฉบ. Through his education, experience, and innovative research, Dr. Hijji has continually demonstrated a passion for improving medical practices and patient outcomes ๐Ÿ’ฏ. His awards and honors reflect his commitment to advancing medicine, and his work remains a valuable resource for healthcare professionals and patients alike. Dr. Hijji’s legacy is one of compassion, dedication, and groundbreaking achievement in the world of medicine ๐ŸŒ.

Publications Top Notes

๐Ÿฉธ Knowledge of blood transfusion among nurses
Authors: B Hijji, K Parahoo, MM Hussein, O Barr
Year: 2013
Citations: 129
Source: Journal of Clinical Nursing, 22 (17-18), 2536-2550
๐Ÿ“š๐Ÿ’‰๐Ÿ‘ฉโ€โš•๏ธ


๐Ÿ’‰ Measuring knowledge of blood transfusion: A survey of Jordanian nurses
Authors: BM Hijji, AE Oweis, RS Dabbour
Year: 2012
Citations: 98
Source: American International Journal of Contemporary Research, 2 (10), 77-94
๐Ÿ‡ฏ๐Ÿ‡ด๐Ÿ’‰๐Ÿ“Š


๐Ÿฉธ Nursesโ€™ practice of blood transfusion in the United Arab Emirates: an observational study
Authors: B Hijji, K Parahoo, MM Hossain, O Barr, S Murray
Year: 2010
Citations: 67
Source: Journal of Clinical Nursing, 19 (23-24), 3347-3357
๐Ÿ‡ฆ๐Ÿ‡ช๐Ÿ’‰๐Ÿ‘ฉโ€โš•๏ธ


โŒ Flaws of multiple choice questions in teacher-constructed nursing examinations: A pilot descriptive study
Authors: BM Hijji
Year: 2017
Citations: 28
Source: Journal of Nursing Education, 56 (8), 490-496
๐Ÿ“‹โŒ๐Ÿ“


๐Ÿฆท Trained nursesโ€™ knowledge and practice of oral care on three wards in acute care hospital in Abu Dhabi, UAE
Authors: H Belal
Year: 2003
Citations: 9
Source: Online Brazilian Journal of Nursing, 2 (3), 11-22
๐Ÿ‡ฆ๐Ÿ‡ช๐Ÿฆท๐Ÿ‘ฉโ€โš•๏ธ


๐Ÿ“ Item Analysis of the Modified Version of the Routine Blood Transfusion Knowledge Questionnaire
Authors: BMH Hijji
Year: 2021
Citations: 1
Source: Journal of Nursing Measurement
๐Ÿ“Š๐Ÿ’‰๐Ÿ“


๐Ÿ’‰ Knowledge and practice of blood transfusion: A survey of nurses in Abu Dhabi, United Arab Emirates
Authors: BM Hijji
Year: 2007
Citations: 1
Source: University of Ulster
๐Ÿ‡ฆ๐Ÿ‡ช๐Ÿ’‰๐Ÿ“š

Abbas Khlaif | Applied Mathematics | Best Researcher Award

Dr. Abbas Khlaif | Applied Mathematics | Best Researcher Award

Lecture at Department of Mathematics and Computer Applications, College of Sciences, Al-Nahrain University, Jadriya, Baghdad, Iraq

Dr. Abbas Ibrahim Khlaif is an accomplished mathematician from Iraq, specializing in Numerical Analysis, Partial Fractional Differential Equations, Fuzzy Sets, and Delay Differential Equations. He holds a Ph.D. in Mathematics from Sousse University, Tunisia (2025), and has an extensive teaching career at institutions like Al-Nahrain University and the College of Peace University. His research, particularly in solving fuzzy variable-order fractional partial differential equations, has been published in prestigious journals, advancing both theoretical and applied mathematics. ๐Ÿงฎ๐Ÿ“š Dr. Khlaif has earned several certificates of appreciation for his academic contributions and leadership, reflecting his commitment to excellence. His expertise in complex mathematical concepts has earned him recognition in seminars and conferences worldwide. ๐ŸŒ๐Ÿ’ก As an educator, he inspires students in advanced mathematics courses and has shown leadership in managing academic departments. With his innovative approach and dedication, Dr. Khlaif is poised to make a lasting impact on the mathematical community. ๐ŸŽ“

Professional Profile

Google Scholar
ORCID Profile

๐ŸŽ“ Education: A Journey of Mathematical Mastery

Dr. Abbas Ibrahim Khlaif‘s academic path is nothing short of inspiring. Starting with a Master’s in Mathematics and Computer Applications from Al-Nahrain University, he set the foundation for his groundbreaking work in Fractional Calculus and Fuzzy Set Theory. His curiosity and dedication led him to pursue a Ph.D. in Mathematics at Sousse University, Tunisia, where he explored the complexities of Fractional Differential Equations. Throughout his studies, Dr. Khlaif never shied away from taking on challenging conceptsโ€”he embraced them! This pursuit of knowledge is not just a career but a lifelong passion that fuels his research and innovation. His solid foundation in theory and application sets him apart as a leader in his field. ๐ŸŽ“๐Ÿ“š

๐Ÿซ Professional Experience: Inspiring Minds, Leading Change

Dr. Khlaifโ€™s career is a remarkable blend of teaching brilliance and leadership prowess. As a Lecturer at Al-Nahrain University, he nurtures future mathematicians, guiding them through the intricate beauty of Differential Equations and Complex Analysis. What sets Dr. Khlaif apart is his ability to make complex subjects accessible, often using real-world examples to show students the power of mathematics. His leadership experience as the Head of the Department of Air Conditioning and Refrigeration Engineering at College of Peace University speaks volumes about his versatility. He combines academic excellence with strong management skills, helping shape academic programs that foster innovation. ๐ŸŒŸ๐Ÿ’ก

๐Ÿ”ฌ Research Interests: Solving the Worldโ€™s Complex Problems

Dr. Abbas Khlaifโ€™s research interests push the boundaries of what is possible in applied mathematics. His focus on Fractional Differential Equations and Fuzzy Sets is not just academicโ€”itโ€™s transformative. Using advanced methods like the Homotopy Analysis Method, Dr. Khlaif explores new approaches to solve delay differential equations and variable-order fractional partial differential equations. This work is crucial for solving complex problems in fields such as engineering, biomedicine, and technology. His innovative techniques are revolutionizing how we approach dynamic systems with uncertainty and complexity, showing that mathematics is not only theoretical but also immensely practical. ๐Ÿ”ฌ๐ŸŒ

๐Ÿ† Awards and Honors: A Testimony to Excellence

Dr. Khlaifโ€™s impact on the academic world hasnโ€™t gone unnoticed. His contributions have been recognized with multiple certificates of appreciation from the Minister of Higher Education, the President of Al-Nahrain University, and the Dean of the Faculty of Science. These awards are not just pieces of paperโ€”they represent his commitment to excellence in both teaching and research. They reflect the hard work heโ€™s invested in advancing the field of mathematics. These recognitions arenโ€™t just milestones in his careerโ€”theyโ€™re a badge of honor, proving that Dr. Khlaif is truly a force to be reckoned with in the world of applied mathematics. ๐Ÿ†๐ŸŽ–

๐ŸŒ Conclusion: A Visionary on the Rise

The future of mathematics is brighter thanks to researchers like Dr. Abbas Ibrahim Khlaif. His innovative work in Fractional Calculus and Fuzzy Sets is not just theoryโ€”itโ€™s about solving real-world problems and transforming industries. As a lecturer and leader, Dr. Khlaif continues to inspire and guide the next generation of thinkers. His awards and recognition are just the beginning of what promises to be an extraordinary journey ahead. His contributions to mathematics have already left a lasting mark, and there is no doubt that he will continue to shape the future of the field with bold ideas and innovative research. ๐ŸŒ๐Ÿ”ญ

Publications Top Notes

Title: Adomian Decomposition Method for Solving Delay Differential Equations of Fractional Order
Authors: OH Mohammed, AI Khlaif
Year: 2014
Cited By: 23 ๐Ÿ“š
Source: Structure 12 (13), 14-15 ๐Ÿ“ฐ


Title: Homotopy Analysis Method for Solving Delay Differential Equations of Fractional Order
Authors: OH Mohammed, IK Abbas
Year: 2014
Cited By: 7 ๐Ÿ“š
Source: Mathematical Theory and Modeling 4 (14), 48-56 ๐Ÿ“ฐ


Title: Conformable Variational Iteration Method for Solving Fuzzy Variable-Order Fractional Partial Differential Equations with Proportional Delay
Authors: AI Khlaif, OH Mohammed, M Feki
Year: 2025
Source: Partial Differential Equations in Applied Mathematics 13, 101064 ๐Ÿ“ฐ


Title: A Modified Method for Solving Delay Fuzzy Variable-Order Fractional Partial Differential Equations
Authors: AI Khlaif, OH Mohammed, M Feki
Year: 2024
Source: Communications in Mathematical Biology and Neuroscience 2024, Article ID 114 ๐Ÿ“ฐ


Title: Homotopy Analysis Method for Solving Fuzzy Variableโ€“Order Fractional Partial Differential Equations with Proportional Delay
Authors: AI Khlaif, OH Mohammed, M Feki
Year: 2024
Source: Journal of Applied Science and Engineering 28 (7), 1601-1611 ๐Ÿ“ฐ