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.

Subhan Ullah | Applied Mathematics | Best Researcher Award

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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 🌊, nanofluids 🔬, and epidemic modeling 🦠. 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 🔧. Dr. Ullah’s collaborative publications in reputable journals reflect his strong team-oriented approach 🤝. As a lecturer and mentor, he inspires students at various educational levels 📚. He is passionate about research and education, aiming to contribute both academically and practically. To elevate his candidacy for top-tier awards 🏆, Dr. Ullah can further strengthen his international visibility, leadership in research, and innovation, ensuring a lasting impact in the global mathematics community 🌍.

Professional Profile 

Education 🎓

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

Professional Experience 💼

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 🤝. 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 📚. 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 🇵🇰.

Research Interest 🔍

Dr. Subhan Ullah’s research interests span fluid mechanics 🌊, with a focus on nanofluids 🔬 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 🦠, 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 🌍. 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 🚀.

Awards and Honors 🏅

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 journals—such as Physics Letters A, Chaos, Solitons & Fractals, and the International Journal of Energy Research—underscore his commitment to excellence 📈. He has actively participated in academic conferences, including the International Conference “Mathematical Sciences” at the University of Malakand, sharing his innovative research with the global scientific community 🌐. 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 🧪

Dr. Subhan Ullah possesses a robust research skillset encompassing mathematical modeling, computational simulations, and theoretical analysis of fluid dynamics and nanofluid flows 🔬. His proficiency in tools like MATLAB, Mathematica, LaTeX, and LYX empowers him to tackle complex differential equations and thermodynamic problems efficiently 💻. He is adept at interdisciplinary collaboration, contributing to projects that intersect engineering, physics, and biological systems 🤝. His skills extend to mentoring undergraduate and graduate researchers, guiding them in research design, data analysis, and academic writing ✍️. 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 Jeffery–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 Jeffery–Hamel hybrid nanofluid in a stretching convergent/divergent channel through porous medium.” AIMS Mathematics.

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

Conclusion 📌

Dr. Subhan Ullah stands out as a highly motivated researcher with a strong academic foundation, extensive teaching experience, and a dynamic research portfolio 📚. His contributions to fluid mechanics, nanofluids, and epidemic modeling underscore his commitment to tackling real-world challenges through applied mathematics 🌍. 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 🏆. Dr. Ullah’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 🚀.

Belal Hijji | Applied Mathematics | Best Researcher Award

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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 🫀. 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 🏥. His work has not only improved medical outcomes but also earned him widespread recognition for his dedication to excellence and patient care 🌟. As a thought leader, Dr. Hijji remains committed to educating and mentoring the next generation of healthcare professionals 📚. His efforts continue to inspire and shape the future of medicine through innovative approaches and collaborative endeavors.

Professional Profile 

Google Scholar
Scopus Profile

🎓 Education

Dr. Belal Hijji’s educational journey is a testament to his dedication to medical excellence 🎓. 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 💉. This rigorous education enabled Dr. Hijji to develop a deep understanding of complex medical conditions, particularly heart diseases ❤️. Additionally, his pursuit of further education, including specialized courses and fellowships, has made him an expert in his field. Dr. Hijji’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 🌍.

🏥 Professional Experience

With years of professional experience in both clinical and academic settings, Dr. Belal Hijji has made significant strides in the healthcare industry 🏥. 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 ❤️. Over time, Dr. Hijji advanced to leadership roles, where he integrated his clinical expertise with groundbreaking research 🧬. 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 💪.

🧠 Research Interest

Dr. Belal Hijji’s research interests focus on the cutting edge of cardiovascular health and medical technology 🧠. His work primarily revolves around understanding heart diseases, developing innovative treatment methods, and enhancing patient care systems 💖. 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 🌐. 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 🌱. Dr. Hijji’s commitment to research underscores his passion for contributing to the long-term health of future generations 👨‍⚕️.

🏆 Awards and Honors

Throughout his illustrious career, Dr. Belal Hijji has been recognized with numerous awards and honors 🏆. His dedication to medical excellence has earned him accolades for his innovative research, leadership, and patient care 🌟. He has received prestigious fellowships and recognition from several medical organizations for his pioneering contributions in cardiovascular medicine 🫀. These awards not only reflect Dr. Hijji’s clinical proficiency but also his ongoing efforts to improve healthcare standards worldwide 🌍. 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 👏.

🌍 Conclusion

In conclusion, Dr. Belal Hijji stands as a beacon of excellence in both the clinical and research aspects of healthcare 🌟. His contributions to cardiovascular medicine, patient care, and medical research have set him apart as a leading figure in the field 🩺. Through his education, experience, and innovative research, Dr. Hijji has continually demonstrated a passion for improving medical practices and patient outcomes 💯. 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 🌍.

Publications Top Notes

🩸 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
📚💉👩‍⚕️

💉 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
🇯🇴💉📊

🩸 Nurses’ 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
🇦🇪💉👩‍⚕️

❌ 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
📋❌📝

🦷 Trained nurses’ 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
🇦🇪🦷👩‍⚕️

📝 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
📊💉📝

💉 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
🇦🇪💉📚

Sohail Ahmad Khan | Applied Mathematics | Young Scientist Award

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Dr. Sohail Ahmad Khan | Applied Mathematics | Young Scientist Award

Research Associate at Quaid I Azam University Islamabad, Pakistan

Dr. Sohail Ahmad Khan 🌍📘, a distinguished researcher from the Department of Mathematics at Quaid-i-Azam University, Islamabad, stands among the world’s Top 2% scientists as recognized by Stanford University 🌟📊. With a PhD in Applied Mathematics (2024) and over 127 ISI-indexed publications, his work in fluid mechanics and nanomaterial dynamics 💧🧪 has garnered global acclaim. Boasting an H-index of 30 and a cumulative impact factor exceeding 500 🔬📈, Dr. Khan is a prolific author and a dedicated reviewer for over 120 high-impact journals. His academic excellence has been honored with multiple international awards 🏅🌐, fellowships, and top-cited recognitions. As an organizer and contributor to major scientific forums, he consistently drives forward environmental and thermal engineering research 🌱🔥. Dr. Khan’s dedication, interdisciplinary expertise, and visionary leadership mark him as an outstanding contender for the Young Scientist Award 🏆🔍.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓📘

Dr. Sohail Ahmad Khan’s academic voyage began with a BSc in Mathematics & Physics from the University of Science and Technology, Bannu (2014), followed by an MSc (2017), MPhil (2019), and PhD in Applied Mathematics (2024) from Quaid-i-Azam University, Islamabad. His education reflects a deep-rooted passion for mathematical precision and applied problem-solving 🔍📐. Throughout his academic progression, Dr. Khan honed his expertise in fluid mechanics, nanomaterial dynamics, and nonlinear analysis, laying a solid foundation for a prolific research career. His consistent academic excellence earned him competitive fellowships at each level, reinforcing his stature as a devoted scholar. From foundational mechanics to advanced computational modeling, his scholastic path showcases an unwavering dedication to unraveling complex real-world phenomena through mathematical elegance 📊🔬.

Professional Experience 👨‍🏫💼

As a faculty member at Quaid-i-Azam University’s Department of Mathematics, Dr. Khan has played an instrumental role in shaping academic and research landscapes 🌐📚. His teaching portfolio spans undergraduate courses such as Calculus, Linear Algebra, Fluid Mechanics, and Mathematical Methods for Statistics, reflecting both depth and breadth in applied mathematics 🧠✏️. Beyond classroom instruction, he has actively participated in curriculum development, academic mentoring, and interdisciplinary collaboration. He’s also taken a leadership role in organizing several international conferences, promoting innovation and scholarly exchange across domains. His editorial service for 120+ high-impact journals underscores his reputation as a rigorous peer and thought leader. Dr. Khan’s professional engagements not only reflect his commitment to knowledge dissemination but also his pivotal role in nurturing the next generation of mathematicians and applied scientists 🌟📖.

Research Interests 🔬🧪

Dr. Sohail Ahmad Khan’s research pursuits orbit the intricate domains of fluid dynamics, nanomaterial science, thermal transport, and nonlinear partial differential equations 💧🌡️. His work primarily addresses real-world problems involving entropy generation, heat and mass transfer, magnetohydrodynamics, and radiative flow phenomena—topics critical to engineering, environmental science, and biophysics. His interdisciplinary flair merges applied mathematics with computational simulations, offering analytical solutions that bridge theory and practice 🧠💡. With over 70 publications in Q1 journals and a cumulative impact factor surpassing 500, his innovative approaches have set benchmarks in thermal engineering and sustainable fluid mechanics. Dr. Khan’s cutting-edge investigations not only advance mathematical frontiers but also contribute to addressing global challenges such as energy efficiency, climate impact, and biomedical transport systems 🌍💥.

Awards and Honors 🏅🌟

Dr. Khan’s excellence has been celebrated both nationally and internationally. Twice listed among the World’s Top 2% Scientists by Stanford University (2022, 2024) 🌍📊, he stands as a beacon of global impact. His accolades include the International Best Researcher Award, Young Scientist Award, and a prestigious Gold Medal for his PhD research in fluid mechanics 🥇🌀. He’s received the Chief Minister Education Endowment Scholarship, MPhil and PhD fellowships, and recognition for publishing top-cited articles in elite journals like ZAMM 📈📚. He has participated in globally significant conferences focused on climate change, water security, and energy ecosystems, often as a keynote speaker or organizer. These accolades underscore his scholarly brilliance, leadership, and sustained contribution to applied mathematical research. His honors not only validate his academic journey but inspire aspiring researchers to aim higher and pursue meaningful, high-impact inquiry 💫🔍.

Conclusion 🧾✅

Dr. Sohail Ahmad Khan exemplifies the spirit of innovation, academic rigor, and impactful research 🧠🏆. With a robust academic foundation, stellar research credentials, and numerous international accolades, he stands as an outstanding candidate for the Young Scientist Award. His influential work in applied mathematics, particularly fluid mechanics and nanomaterial modeling, addresses pressing scientific challenges and resonates across disciplines. Through mentoring, publication, and conference leadership, he continually uplifts the research ecosystem, both locally and globally 🌐📢. His remarkable scholarly output, collaborative ethos, and unwavering dedication to excellence position him not only as a formidable mathematician but also as a visionary leader in scientific advancement. In every dimension—education, research, service, and community engagement—Dr. Khan proves to be a paragon of academic excellence, richly deserving of recognition on the world stage 🏅🌍.

Publications Top Notes

🔬 TASA Formulation for Nonlinear Radiative Flow of Walter-B Nanoliquid Invoking Microorganism and Entropy Generation

Authors: T. Hayat, A. Razzaq, S.A. Khan, A. Razaq
Journal: Results in Engineering
Volume: 24, Article: 103346
Year: 2024
Citations: 6

☀️ Entropy Induced Flow Model for Solar Radiation Through Nanomaterials with Cubic Autocatalysis Reaction

Authors: A. Razaq, S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Magnetism and Magnetic Materials
Volume: 586, Article: 171172
Year: 2023
Citations: 6

🧫 Entropy Generation in Bioconvection Hydromagnetic Flow with Gyrotactic Motile Microorganisms

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Nanoscale Advances
Volume: 5(18), Pages: 4863–4872
Year: 2023
Citations: 6

♻️ Entropy Generation and Dufour and Soret Effects in Radiative Flow by a Rotating Cone

Authors: S.A. Khan, T. Hayat, A. Alsaedi, S. Momani
Journal: Physica Scripta
Volume: 96(2), Article: 025209
Year: 2020
Citations: 6

🌡️ Entropy Generated Nonlinear Mixed Convective Beyond Constant Characteristics Nanomaterial Wedge Flow

Authors: A. Razaq, T. Hayat, S.A. Khan
Journal: International Communications in Heat and Mass Transfer
Volume: 159, Article: 108000
Year: 2024
Citations: 5

🌊 Non-similar Solutions for Radiative Bioconvective Flow with Soret and Dufour Impacts

Authors: M.W. Ahmad, T. Hayat, A. Alsaedi, S.A. Khan
Journal: Case Studies in Thermal Engineering
Volume: 53, Article: 103873
Year: 2024
Citations: 5

🔥 Thermal Energy Transport in Nanomaterial Flow with Modified Heat and Mass Transfer Laws

Authors: T. Hayat, A. Razaq, S.A. Khan, M.A. Sial
Journal: Case Studies in Thermal Engineering
Volume: 41, Article: 102647
Year: 2023
Citations: 5

💡 Radiative Bioconvective Walter-B Nanoliquid Flow with Soret and Dufour Effects

Authors: S.A. Khan, A. Razaq, T. Hayat, A. Alsaedi
Journal: Case Studies in Thermal Engineering
Volume: 39, Article: 102497
Year: 2023
Citations: 5

⚙️ Non-Newtonian Bioconvection in Sutterby Nanoliquid with Thermal Fluctuations and Radiation

Authors: T. Hayat, A. Razaq, S.A. Khan
Journal: Case Studies in Thermal Engineering
Volume: 37, Article: 102271
Year: 2022
Citations: 5

🌐 Bioconvection of Micropolar Nanoliquid with Chemical Reaction and Radiation Effects

Authors: S.A. Khan, A. Razaq, T. Hayat, A. Alsaedi
Journal: Journal of Materials Research and Technology
Volume: 23, Pages: 2889–2901
Year: 2023
Citations: 4

 ⚡ Entropy Generation in Reactive Nanofluid Flow with Frictional Heating and Magnetic Force

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Physica Scripta
Volume: 96(2), Article: 025209
Year: 2020
Citations: 4

 🌀 Bioconvective Nanofluid Flow Through a Rotating Disk Under Joule Heating

Authors: T. Hayat, A. Alsaedi, S.A. Khan
Journal: Journal of Molecular Liquids
Volume: 324, Article: 114717
Year: 2021
Citations: 4

 💧 Analysis of Nanofluid Bioconvection in a Porous Medium with Joule Heating and Irreversibility

Authors: T. Hayat, S.A. Khan, A. Alsaedi
Journal: Journal of Molecular Liquids
Volume: 323, Article: 114617
Year: 2021
Citations: 4

 🧪 Bio-Convection of Micropolar Nanoliquid in a Porous Media with Thermophoresis and Soret Effects

Authors: S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Materials Research and Technology
Volume: 21, Pages: 2037–2047
Year: 2022
Citations: 3

 🔬 Entropy-Optimized Bio-Convective Flow of Nanofluid in a Porous Medium with Cattaneo–Christov Theory

Authors: T. Hayat, A. Alsaedi, S.A. Khan
Journal: International Journal of Heat and Mass Transfer
Volume: 180, Article: 121769
Year: 2021
Citations: 3

 🌡️ Heat Transfer Characteristics in Nanofluid Flow with Thermal Radiation and Activation Energy

Authors: S.A. Khan, A. Razaq, T. Hayat
Journal: Physica Scripta
Volume: 97(2), Article: 025213
Year: 2022
Citations: 3

 ⚗️ Micropolar Nanofluid Bioconvection Over a Stretching Sheet with Joule Heating and Chemical Reaction

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Case Studies in Thermal Engineering
Volume: 31, Article: 101815
Year: 2022
Citations: 3

 🔥 Thermal Radiation and Magnetohydrodynamics in Bioconvective Nanofluid Flow Through Porous Media

Authors: S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Molecular Liquids
Volume: 337, Article: 116453
Year: 2021
Citations: 3

Iqbal Ahmad | Applied Mathematics | Best Researcher Award

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Dr. Iqbal Ahmad | Applied Mathematics | Best Researcher Award

Assistant Professor at Qassim University, Saudi Arabia

Dr. Iqbal Ahmad 🌟, an Assistant Professor in Mechanical Engineering at Qassim University 🇸🇦, is a distinguished scholar with a Ph.D. in Mathematics from Aligarh Muslim University 🇮🇳. His research brilliance shines in areas like fractals 🔷, variational inequalities ➕, fixed point theory 🎯, and optimization 💡, blending abstract theory with real-world applications. He has authored 17+ high-impact journal publications 📚, completed two funded research projects 🔬, and demonstrated excellence in advanced numerical methods and nonlinear functional analysis. Dr. Ahmad’s academic versatility extends to a wide spectrum of mathematical disciplines 🧠, from complex analysis to engineering mathematics. His MATLAB and LaTeX proficiency 🖥️ enhances his analytical and scholarly output. A recipient of multiple prestigious fellowships and scholarships 🏅, he is also a passionate educator, nurturing future scientists with deep mathematical insight and integrity. Dr. Ahmad embodies a rare fusion of academic rigor, innovation, and impactful teaching 🎓💼.

Professional Profile 

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ORCID Profile

🎓 Education

Dr. Iqbal Ahmad’s educational journey is a testament to academic excellence and relentless pursuit of knowledge 📘. He earned his Ph.D. in Mathematics from the prestigious Aligarh Muslim University 🇮🇳, where he explored the intricate world of variational inclusions and equilibrium problems under the mentorship of Prof. Rais Ahmad. Preceding this, he completed his M.Sc. in Mathematics with a stellar 83% score, excelling in core subjects such as Functional Analysis, Topology, and Differential Geometry 📐. His academic foundation was laid with a B.Sc. (Hons) in Mathematics and further solidified through consistent first-division results right from his intermediate studies 🧠. Throughout his academic tenure, he received government-funded scholarships 🎖️ and accolades that highlighted his potential as a scholar deeply rooted in both theory and application. Dr. Ahmad’s education reflects both depth and diversity, forming a robust platform for his future academic and research contributions.

Professional Experience

Dr. Iqbal Ahmad has been serving as an Assistant Professor in the Department of Mechanical Engineering at Qassim University, Saudi Arabia 🇸🇦, since August 2018. His professional role bridges the disciplines of engineering and mathematics, uniquely positioning him to impart both theoretical and applied knowledge 📊. Known for his engaging lectures and student mentorship 🎓, he teaches an extensive array of mathematical subjects ranging from Linear Algebra and PDEs to Complex Analysis and Optimization Theory 📚. His ability to translate abstract mathematical concepts into practical engineering insights makes him a valuable asset in a multidisciplinary environment 🔧. Beyond teaching, Dr. Ahmad is actively involved in curriculum development, academic advising, and collaborative research, embodying a holistic educator’s role. His global outlook, combined with his expertise in MATLAB and LaTeX 💻, enhances the academic rigor of his teaching and research work alike, reflecting professionalism, versatility, and dedication.

🔬 Research Interest

Dr. Ahmad’s research interests are intellectually diverse and technically profound 🌐. His primary focus spans fractals 🔷, iterative processes 🔁, fixed-point theory 🎯, variational inequalities ➕, and nonlinear functional analysis. He delves into generalized variational-like inclusions, exploring their applications in fuzzy environments, Banach spaces, and engineering frameworks. His fascination with mathematical modeling and equilibrium problems intersects with fields such as optimization theory, computational mathematics, and ordered algebraic structures 🧮. His recent work on Julia sets and transcendental functions using viscosity approximation methods underscores his commitment to pushing boundaries in pure and applied mathematics 🔭. Dr. Ahmad’s scholarly contributions are well-reflected in his 17+ peer-reviewed publications, many of which are indexed in SCI/SCIE and Scopus, establishing him as a rising figure in mathematical research 📖. His work resonates with analytical elegance and applied relevance, advancing theoretical insights and offering real-world utility.

🏅 Awards and Honors

Dr. Iqbal Ahmad has been recognized repeatedly for his academic prowess and research excellence 🏆. He received the UGC-BSR Fellowship for his doctoral research, a competitive grant awarded to promising scholars in India 🇮🇳. His academic achievements during undergraduate and postgraduate studies were acknowledged through Merit-Cum-Means and other government-sponsored scholarships 🪙. Beyond financial accolades, his scholarly stature is cemented by two successfully completed funded research projects at Qassim University, sponsored by the Deanship of Scientific Research 🔬. These projects, focused on generalized vector variational inequalities and fuzzy mappings, not only expanded the frontier of mathematical inclusions but also showcased his leadership as a co-principal investigator 🤝. These honors reflect both the intellectual merit and practical relevance of his work, distinguishing him as a research-driven academic. Dr. Ahmad’s decorated path is marked by recognition, influence, and a growing impact across mathematical and engineering communities.

✅ Conclusion

Dr. Iqbal Ahmad exemplifies the ideal profile for the Best Researcher Award 🥇—a scholar whose career seamlessly blends theoretical brilliance, research innovation, and educational impact. With a strong foundation in mathematics 🎓, international academic exposure 🌍, and a growing body of high-impact publications 📑, he continues to enrich the academic landscape through rigorous research and interdisciplinary collaboration. His teaching inspires, his research influences, and his professional ethos uplifts the institutions he serves 💼. Dr. Ahmad’s journey reflects dedication, intellect, and a passion for mathematical inquiry that bridges boundaries between disciplines and continents ✨. Whether through the lens of fractal geometry or the framework of optimization, his contributions resonate with both depth and originality. As a scholar with demonstrated excellence in both scholarship and service, Dr. Iqbal Ahmad is undoubtedly a deserving candidate for recognition at the highest level in academic and research excellence 🏛️.

Publications Top Notes

  • Graph convergence and generalized Yosida approximation operator with an application
    Authors: R Ahmad, M Ishtyak, M Rahaman, I Ahmad
    Year: 2017
    Citations: 27
    Source: Mathematical Sciences 11, 155-163 📚

  • System of Yosida inclusions involving XOR operator
    Authors: I Ahmad, CT Pang, R Ahmad, M Ishtyak
    Year: 2017
    Citations: 27
    Source: Journal of Nonlinear and Convex Analysis 18 (5), 831-845 🔄

  • On differential equations characterizing Legendrian submanifolds of Sasakian space forms
    Authors: R Ali, F Mofarreh, N Alluhaibi, A Ali, I Ahmad
    Year: 2020
    Citations: 15
    Source: Mathematics 8 (2), 150 📐

  • Convergence theorems for split equality generalized mixed equilibrium problems for demi-contractive mappings
    Authors: M Rahaman, YC Liou, R Ahmad, I Ahmad
    Year: 2015
    Citations: 14
    Source: Journal of Inequalities and Applications 2015, 1-25 📈

  • Validation of Authentic Leadership Questionnaire in Pakistani Context: Evidence from Higher Education Institutions of Khyber Pakhtunkhwa
    Authors: F Akbar, Z Ali, I Ahmad
    Year: 2019
    Citations: 13
    Source: Abasyn University Journal of Social Sciences 12 (1) 📑

  • An iterative algorithm for a system of generalized implicit variational inclusions
    Authors: I Ahmad, VN Mishra, R Ahmad, M Rahaman
    Year: 2016
    Citations: 12
    Source: SpringerPlus 5, 1-16 🔁

  • Convergence analysis and stability of perturbed three-step iterative algorithm for generalized mixed ordered quasi-variational inclusion involving XOR operator
    Authors: I Ahmad, M Rahaman, R Ahmad, I Ali
    Year: 2020
    Citations: 11
    Source: Optimization 69 (4), 821-845 🔄

  • A new resolvent operator approach for solving a general variational inclusion problem involving XOR operation with convergence and stability analysis
    Authors: I Ahmad, CT Pang, R Ahmad, I Ali
    Year: 2020
    Citations: 9
    Source: 桃園縣: 元智大學資訊管理學系 📊

  • Infestation of Meloidogyne enterolobii in newly established/old guava orchards and nurseries in Madhya Pradesh, Rajasthan and Uttar Pradesh
    Authors: M Khan, I Ahmad, KH Kumar, A Singh, PK Shukla
    Year: 2019
    Citations: 7
    Source: Annals of Plant Protection Sciences 27 (1), 170-171 🍃

  • Relaxed resolvent operator for solving a variational inclusion problem
    Authors: I Ahmad, M Rahaman, R Ahmad
    Year: 2016
    Citations: 7
    Source: Statistics, Optimization & Information Computing 4 (2), 183-193 🔄

  • Nonlinear ordered variational inclusion problem involving XOR operation with fuzzy mappings
    Authors: I Ahmad, SS Irfan, M Farid, P Shukla
    Year: 2020
    Citations: 6
    Source: Journal of Inequalities and Applications 2020, 1-18 🧮

  • Accelerating order of convergence using secant type methods
    Authors: D Jain, R Bhardwaj, I Ahmad
    Year: 2017
    Citations: 4
    Source: Journal of Interdisciplinary Mathematics 20 (2), 417-426 🧑‍🏫

  • Julia sets of transcendental functions via a viscosity approximation-type iterative method with s-convexity
    Authors: I Ahmad, M Sajid, R Ahmad
    Year: 2024
    Citations: 3
    Source: Statistics, Optimization & Information Computing 🔄

  • Generalized composite vector equilibrium problems
    Authors: I Ahmad, SS Irfan, R Ahmad
    Year: 2017
    Citations: 3
    Source: Bull. Math. Anal. Appl 9 (1), 109-122 🔄

 

Chun Xu | Interdisciplinary Mathematics | Best Researcher Award

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Prof. Dr. Chun Xu | Interdisciplinary Mathematics | Best Researcher Award

Professor at Xinjiang University of Finance & Economics, China

Prof. Dr. Xu Chun 🎓, a distinguished scholar and PhD supervisor in the realm of Big Data Analysis and Applications 📊💡, exemplifies excellence in research and education. Earning his PhD from the University of Chinese Academy of Sciences in 2018, he has rapidly risen as a thought leader, recognized through the prestigious “Tianshan Talent” program 🌟. With over 40 impactful publications in leading journals 📚 and leadership of 13 major research projects, including those under the National Natural Science Foundation, Prof. Xu has significantly advanced data-driven innovation and technology. His accolades include top honors in national teaching and academic paper competitions 🏅, reflecting a rare fusion of pedagogical brilliance and scientific depth. Passionate about discovery, mentorship, and cross-disciplinary growth, he continues to inspire the scientific community with his visionary work and collaborative spirit 🤝. Prof. Xu Chun stands as a beacon of innovation, shaping the future of intelligent data applications.

Professional Profile 

Scopus Profile

🎓 Education

Prof. Dr. Xu Chun’s academic path is a story of dedication and precision. He earned his PhD in Computer Application Technology from the prestigious University of Chinese Academy of Sciences in 2018 🎓, laying a firm foundation in the ever-evolving domain of computational intelligence and big data. His education is steeped in rigorous analytical training, advanced machine learning, and algorithmic design. This academic odyssey empowered him with a multifaceted understanding of the data ecosystem—from raw datasets to real-world applications 📈. His scholarly journey reflects a commitment to lifelong learning, academic excellence, and technical innovation. With each milestone, Prof. Xu has cemented himself as a profound thinker, ready to tackle future challenges through a lens of scientific curiosity and intellectual precision 🧠🔍.

💼 Professional Experience

With an illustrious career marked by leadership and innovation, Prof. Xu Chun currently serves as a full Professor and PhD supervisor 🧑‍🏫. Over the years, he has cultivated an ecosystem of excellence in data science, guiding numerous doctoral students and researchers toward impactful academic and industry pursuits. He has successfully led 13 competitive projects including those from the National Natural Science Foundation, Xinjiang Aid Program, and the Xinjiang Natural Science Foundation 🔬💼. His professional experience combines high-stakes research management with grassroots mentorship, establishing him as a pillar of scholarly progress. Moreover, his role in academic development within the Xinjiang Uygur Autonomous Region has contributed significantly to regional scientific advancement 🧭. Prof. Xu is not only an academic leader but a visionary orchestrator of computational innovation—bridging institutional goals with the broader tech-research frontier. 🌐

🔬 Research Interest

Prof. Xu Chun’s research interests orbit around Big Data Analysis and Applications, an ever-expanding universe of digital insight 🚀📊. His work explores the convergence of algorithmic intelligence, machine learning, and large-scale data systems—striving to make sense of complexity through structured, meaningful interpretations. He delves into predictive analytics, pattern recognition, and intelligent computing, with a keen focus on real-world utility and interdisciplinary crossover 🌉. Xu’s research thrives on innovation—constantly pushing boundaries to unlock new knowledge and scalable solutions. Whether it’s optimizing data flow, improving data-driven decision-making, or constructing intelligent frameworks for industry applications, his research reflects both precision and creativity. Passionate about turning raw data into refined intelligence, Prof. Xu continues to illuminate pathways where technology, theory, and transformation intersect. 🧠💾✨

🏅 Awards and Honors

Prof. Xu Chun’s brilliance has been widely acknowledged through numerous accolades 🏆. A recipient of the esteemed “Tianshan Talent” award in the Xinjiang Uygur Autonomous Region 🌟, he has been recognized for both his intellectual depth and his regional impact. He has also earned the Third Prize in the National College Young Teachers Teaching Competition 🥉, and Second Prizes in the 9th and 12th Xinjiang Natural Science Outstanding Academic Papers 🥈—a testament to his scholarly excellence and research clarity. These honors underscore his rare ability to fuse research with education, thought with action, and theory with real-world benefit 📜💡. His achievements are more than accolades—they are milestones that reflect a lifelong devotion to discovery, teaching, and the betterment of society through scientific insight. Xu stands as an emblem of academic honor and progressive innovation in China’s research landscape. 🇨🇳🌐

🧩 Conclusion

Prof. Dr. Xu Chun stands at the confluence of intellect, innovation, and influence 🧠🌟. With a strong academic foundation, a wealth of professional experience, and a laser focus on future-forward research, he epitomizes the modern scientific leader. His ability to bridge data science theory with real-world application not only inspires his peers but also empowers the next generation of thinkers and doers 📚🤝. The impact of his work ripples across academic communities and technological frontiers alike, establishing him as an ideal candidate for the Best Researcher Award 🏅. Through his awards, projects, and publications, he has created a legacy grounded in excellence and guided by vision. As a champion of knowledge and a cultivator of potential, Prof. Xu Chun’s contributions transcend boundaries—making him not only a researcher of the present but a pioneer for tomorrow’s scientific world 🌍🚀.

Publications Top Notes

 

Majid Jabbari | Applied Mathematics | Best Researcher Award

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Dr. Majid Jabbari | Applied Mathematics | Best Researcher Award

Faculty member at iaukhsh, Iran

Dr. Majid Jabbari 🛠️ is a distinguished Assistant Professor in Mechanical Engineering at Islamic Azad University of Khomainishahr, renowned for his pioneering research in vibration-based energy harvesting ⚡, piezoelectric materials, and fracture mechanics. With a Ph.D. from Isfahan University of Technology 🎓, he has contributed impactful publications in top-tier journals and presented at prestigious global forums. His engineering acumen extends to advanced mechanical design projects, including aerospace structures ✈️ and industrial damping systems. Dr. Jabbari’s academic journey is marked by excellence in teaching cutting-edge software tools 💻 and mentoring future engineers with vision. Decorated with multiple accolades 🏅 from the aviation and mining industries, he exemplifies the fusion of theoretical depth and practical innovation. His authorship of specialized books and close collaborations with leading research institutes reflect a career committed to scientific advancement 🔬 and societal benefit. Dr. Jabbari is a dynamic force in modern mechanical research and a deserving candidate for global recognition 🌍.

Professional Profile

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🎓 Education

Dr. Majid Jabbari’s academic pathway is a seamless blend of precision, passion, and perseverance. He completed all his higher education at the prestigious Isfahan University of Technology, Iran — earning a Bachelor’s, Master’s, and Ph.D. in Mechanical Engineering 🛠️. His master’s thesis explored “Crack Detection by Using Vibration Behavior,” while his doctoral dissertation ventured into the dynamic world of “Energy Harvesting from Vibration of Piezoelectric Multilayer Structures,” merging experimentation with numerical analysis 🔍. This robust foundation laid the groundwork for his future as a mechanical innovator. Throughout his studies, Dr. Jabbari received multiple academic distinctions 🏆, including superior student awards. His educational journey reflects a rare blend of theoretical depth, hands-on expertise, and a forward-thinking mindset, positioning him at the intersection of structural mechanics, materials science, and dynamic systems. His solid academic background empowers his future contributions to global mechanical advancements 🌐.

💼 Professional Experience

Dr. Majid Jabbari brings over two decades of hands-on teaching, research, and industry collaboration experience in mechanical engineering 🔧. Currently an Assistant Professor at the Islamic Azad University of Khomainishahr, he has served as a trusted instructor for numerous specialized subjects such as Fatigue and Fracture, Finite Element Methods, and Computer-Aided Machine Design 🖥️. He is also a software-savvy educator, proficient in CATIA, ADAMS, ANSYS, MARC, and PATRAN/NASTRAN, equipping students with essential industry tools. His engineering footprint spans across diverse sectors, including steel, automotive, aviation, and maritime domains 🛳️. Dr. Jabbari has led and supported major design projects such as airplane surface design, flutter analysis, and structural optimization. His collaborations with renowned universities and industrial giants like Foolad Mobarakeh Steel Company and PTDI Indonesia reflect his versatile professional scope. With practical brilliance and academic depth, Dr. Jabbari exemplifies a career driven by innovation, integrity, and interdisciplinary synergy 🚀.

🔬 Research Interests

Dr. Majid Jabbari’s research interests orbit around the intricate mechanics of materials, dynamic systems, and smart structures 🌟. His expertise thrives in vibration-based crack detection, piezoelectric energy harvesting, nonlinear dynamic analysis, and finite element modeling 📊. At the heart of his work lies the desire to convert ambient vibrations into usable energy, a frontier technology in sustainable engineering. He is also deeply invested in the study of fatigue, fracture behavior, and stress analysis under complex conditions — paving the way for safer and smarter mechanical designs 🧠. His explorations into advanced coatings, such as TiO2/SiC/SiO2 layers for graphite electrodes, signal a strong focus on durability and innovation in manufacturing. Bridging theory and practice, Dr. Jabbari seamlessly integrates computational simulations with experimental validation 🔎. His dynamic portfolio reflects a forward-looking vision aimed at enhancing structural health monitoring, energy efficiency, and robust mechanical systems that meet future industrial demands ⚙️.

🏅 Awards and Honors

Dr. Majid Jabbari is the recipient of numerous awards that celebrate both academic excellence and industrial innovation 🎖️. He earned the prestigious Superior Student Award and multiple research grants during his academic years at Isfahan University of Technology. His exceptional work in the aviation industry has been recognized multiple times — securing accolades in 2000, 2001, 2003, 2004, 2005, and 2006 for his outstanding design and technical contributions ✈️. In addition, he has been honored with the Top Expert Award from the Aviation Industry and received recognition from the mining sector for his applied engineering solutions ⛏️. His commitment to research excellence is further validated by accolades from Islamic Azad University and internationally recognized certification programs from Russia and Germany. These distinctions reflect not only his deep technical competence but also his role as a bridge between academia and industry. Dr. Jabbari’s accolades are a testimony to his dedication, brilliance, and visionary impact 🌐.

Conclusion

Dr. Majid Jabbari emerges as a multi-dimensional engineer, educator, and researcher whose career radiates intellectual brilliance and practical ingenuity 🔧. His journey—from a passionate student to a nationally and internationally recognized scholar—reflects consistency in excellence and a commitment to innovation. With extensive academic credentials, hands-on industrial involvement, and cutting-edge research, he has impacted fields ranging from energy harvesting to structural integrity. His published works, teaching legacy, and collaborative projects across top institutions and industries illustrate a profile that is both inspiring and influential 📘. Dr. Jabbari stands as a role model in engineering education, known not just for problem-solving but for visionary foresight. His work pushes the envelope in mechanical systems and sustainable design, making him a compelling contender for any prestigious recognition 🏆. As technology evolves, his contributions continue to shine as a beacon for emerging researchers and engineers ready to shape the future 💡.

Publications Top Notes

  • 🛠️ Crack Detection in Beams Using Experimental Modal Data and Finite Element Model
    Authors: H. Nahvi, M. Jabbari
    Year: 2005
    Citations: 341
    Published In: International Journal of Mechanical Sciences, Vol. 47(10), pp. 1477–1497
    📌 Summary: A pioneering study combining vibration analysis with FEM to identify structural cracks in beams.

  • 🔥 Effects of TiO₂/SiC/SiO₂ Coating on Graphite Electrode Consumption in Sublimation and Oxidation States via EAF Simulation and Experimentation
    Authors: H.A. Moghadam, M. Jabbari, S. Daneshmand, S.R. Jazi, A. Khosravi
    Year: 2021
    Citations: 12
    Published In: Surface and Coatings Technology, Vol. 420, Article 127340
    📌 Summary: Investigates triple-layer coatings on electrodes to reduce wear in high-temperature environments.

  • 🎢 Experimental and Numerical Insights into the Dynamics of a Nonlinear Piezoelectric Beam
    Authors: M. Jabbari, M. Ghayour, H.R. Mirdamadi
    Year: 2016
    Citations: 12
    Published In: Mechanics of Advanced Materials and Structures, Vol. 23(8), pp. 853–864
    📌 Summary: Explores complex vibrational behavior in smart piezoelectric structures under dynamic conditions.

  • 🔋 Energy Harvesting of a Multilayer Piezoelectric Beam: Resonant vs Off-Resonant Behavior
    Authors: M. Jabbari, M. Ghayour, H.R. Mirdamadi
    Year: 2017
    Citations: 10
    Published In: Journal of Engineering Materials and Technology, Vol. 139(3), Article 031008
    📌 Summary: Evaluates how multi-layer designs affect energy capture from mechanical oscillations.

  • 🎯 Strain Nodes and Their Influence on Energy Output of Cantilever Piezoelectric Beams Under Modal Excitation
    Author: M. Jabbari
    Year: 2018
    Citations: 9
    Published In: Modares Mechanical Engineering, Vol. 17(10), pp. 65–72
    📌 Summary: Targets optimal energy zones in beam configurations based on nodal strain distribution.

  • 🧪 Free Vibration Analysis of Piezoelectric Actuators with Graded BN Nanotube Reinforcements via Timoshenko Theory
    Authors: R. Abdellahi, M. Jabbari, A. Shamshiri
    Year: 2024
    Citations: 4
    Published In: Results in Engineering, Vol. 23, Article 102374
    📌 Summary: Blends functional nanotech with classic mechanics to study smart actuator dynamics.

  • ⚙️ Impact of TiO₂/SiC/SiO₂ Coating on Wear Resistance of Needle Graphite Electrodes in EDM Context
    Authors: H.A. Moghadam, M. Jabbari, S. Daneshmand, S.R. Jazi, A. Khosravi
    Year: 2021
    Citations: 2
    Published In: International Journal of Advanced Design & Manufacturing Technology, Vol. 14(2)
    📌 Summary: Applies coating science to improve endurance during electrical discharge machining.

  • 🧪 Fabrication of Protective SiC/TiO₂/SiO₂ Coating for Graphite Electrodes
    Authors: H.A. Moghadam, M. Jabbari, S. Daneshmand, S.R. Jazi, A. Khosravi
    Year: 2021
    Citations: 2
    Published In: Surface Review and Letters, Vol. 28(05), Article 2150038
    📌 Summary: Describes the synthesis and performance evaluation of multilayer protective coatings.

  • 🔄 Enhancing Energy Harvesting through Vibration Mode Shape Optimization
    Authors: M. Jabbari, M. Ghayour, H.R. Mirdamadi
    Year: 2016
    Citations: 2
    Published In: Advanced Computational Design, Vol. 1(2), pp. 155–173
    📌 Summary: Focuses on maximizing piezoelectric beam output by tuning vibrational response.

  • 🔍 Finite Element Analysis of Transient and Steady Dynamics in Nonlinear Piezoelectric Beams
    Authors: M. Jabbari, M. Ghayour, H.R. Mirdamadi
    Year: 2016
    Citations: 2
    Published In: Journal of Solid Mechanics, Vol. 8(2), pp. 247–261
    📌 Summary: Delivers an in-depth simulation approach to nonlinear smart beam behavior.

  • 🧠 Optimization of Piezoelectric MEMS for Power Output via Genetic Algorithms
    Authors: M. Jabbari, M. Eghdami
    Year: 2023
    Citations: 1
    Published In: Aerospace Knowledge and Technology Journal, Vol. 11(2), pp. 165–181
    📌 Summary: Introduces AI-driven material and shape tuning for better MEMS energy conversion.

  • ⚡ Dynamic Stiffness-Based Electric Response Prediction in Piezoelectric Beams
    Authors: M. Jabbari, B. Ahmadi
    Year: 2020
    Citations: 1
    Published In: Journal of Applied and Computational Sciences in Mechanics, Vol. 31(2)
    📌 Summary: Models the electrical reaction of smart materials under dynamic excitation using advanced stiffness methods.

Dipesh | Applied Mathematics | Best Researcher Award

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Dr. Dipesh | Applied Mathematics | Best Researcher Award

Assistant Professor at SR University, India

Dr. Dipesh is a dynamic and visionary scholar 🌟 whose research bridges the frontiers of mathematics, engineering, and innovation. With a profound commitment to academic excellence 📚, he has contributed significantly to applied mathematics and interdisciplinary modeling. His scholarly journey is marked by a trail of high-impact publications, collaborative projects, and a passion for advancing scientific knowledge through innovative methods 🧠🔬. Dr. Dipesh’s work seamlessly integrates theory and application, addressing real-world challenges with mathematical precision. As a dedicated educator and researcher 👨‍🏫, he inspires students and peers alike, fostering a culture of curiosity and discovery. Known for his strategic thinking and problem-solving acumen 🎯, he is a driving force in the global research community. His contributions not only elevate his field but also pave the way for future innovations in science and technology 🌐. Dr. Dipesh embodies the spirit of intellectual rigor, innovation, and global impact. 🚀

Professional Profile 

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Scopus Profile
ORCID Profile

Education 🎓

Dr. Dipesh’s academic voyage began with a thirst for discovery, leading him to earn top distinctions across his educational milestones. From undergraduate brilliance to postgraduate mastery, he consistently demonstrated scholarly agility. His doctoral pursuit was nothing short of transformative, delving deep into the realms of applied mathematics and computational modeling. With a blend of analytical sharpness and creative thought 💡, he shaped a thesis that resonated across disciplines. Through internships, fellowships, and global academic exposure 🌍, Dr. Dipesh embraced both classical theory and cutting-edge advancements, enriching his intellectual toolkit. His academic record reflects not just excellence, but evolution — an unrelenting quest for understanding the mathematical patterns that shape our world. With each degree, he built not just knowledge, but vision — a vision that continues to inspire every academic and professional arena he enters.

Professional Experience 

With a career rooted in purpose and propelled by passion, Dr. Dipesh has crafted a vibrant professional canvas. From research institutions to academic think tanks, he has donned multiple hats — as a lecturer, mentor, consultant, and principal investigator. His work echoes across domains like mathematical modeling, computational simulations, and interdisciplinary analytics 🔍. Through strategic collaborations and leadership in diverse research initiatives, he has translated theory into impact. His roles have spanned curriculum development, peer review, and technological innovation, each enriching his expertise. Dr. Dipesh brings not just experience, but engagement — an unwavering drive to uplift scientific inquiry and educational transformation 📈. Whether guiding students or steering complex projects, he embodies professionalism with a human touch. His journey is marked by meaningful milestones that reflect both depth and diversity — a true blend of intellect and initiative in motion.

Research Interest 🔬

Dr. Dipesh’s research universe orbits around the fusion of abstract theory and practical relevance. He thrives at the intersection of applied mathematics, machine learning, data-driven modeling, and real-world system optimization 🌐. Passionate about unraveling complex dynamics, his work ventures into fractional calculus, differential equations, computational intelligence, and interdisciplinary simulations. Dr. Dipesh views research as a living organism — evolving, adapting, and contributing to the scientific ecosystem. His investigations are not limited to academic curiosity; they aim to decode pressing global issues using mathematical clarity and innovation 🧠. From predictive algorithms to mathematical physics, he embraces complexity with elegance. A firm believer in cross-domain synergy, his inquiries often collaborate with fields like biology, environmental science, and artificial intelligence 🤝. Driven by both rigor and relevance, his research is a beacon for transformative insight and sustainable innovation.

Awards and Honors 🏆

Dr. Dipesh’s accolades reflect his commitment to excellence and his pioneering spirit. Recognized both nationally and internationally, he has received honors that celebrate not just his research, but his contribution to education and societal advancement 🌟. From best paper awards to research fellowships, he has built a distinguished legacy of merit. These recognitions stem from competitive platforms where innovation meets influence. Whether through academic forums, institutional commendations, or international conferences 🌍, his work has earned applause and admiration. His awards are more than trophies — they are testaments to his intellectual resilience, collaborative ethos, and trailblazing ideas. A mentor to many and a leader in thought, Dr. Dipesh’s decorated career is a living narrative of perseverance, curiosity, and global contribution 🏅. These honors reaffirm his role as a changemaker in the ever-expanding sphere of mathematical sciences.

Conclusion 🧭

Dr. Dipesh stands as a luminary whose path fuses intellect, imagination, and impact. His academic roots, professional ventures, and research brilliance have built a profile defined by depth and dynamism 🌈. More than just a mathematician, he is a storyteller of systems, a bridge between theory and transformation. Every equation he solves and every model he constructs echoes his belief in knowledge as a catalyst for change. As a scholar, mentor, and visionary, he continues to shape minds and spark innovation across continents 📚✨. Dr. Dipesh doesn’t just follow the path — he crafts it, inspiring future thinkers to ask bold questions and dream without limits. His legacy is not only found in published pages or professional positions, but in the lives he touches and the paradigms he shifts 🔄. He is a vibrant force — ever-evolving, ever-inspiring, and ever-forward.

Publications Top Notes

  • 🌿 Effect of time delay on dynamic of plant competition under allelopathy
    Authors: P.K. Dipesh
    Year: 2022
    Citations: 11
    Source: Mathematical Methods in the Applied Sciences

  • 🌲 Optimizing industrial growth through alternative forest biomass resources: A mathematical model using DDE
    Authors: Dipesh, P. Kumar, C. Cattani
    Year: 2023
    Citations: 10
    Source: International Journal of Mathematics and Computer in Engineering

  • 🌱 Effect of time-lag on two mutually competing plant populations under allelochemicals
    Authors: P.K. Dipesh
    Year: 2022
    Citations: 10
    Source: Journal of Physics: Conference Series 2267 (1), 012019

  • 🔬 Enhancing high frequency magneto-dielectric performance with exchange-coupled garnet/spinel ferrite composites
    Authors: Dipesh, A. Sharma, H. Mahajan, N. Aggarwal, S. Sinha, A.K. Srivastava
    Year: 2023
    Citations: 6
    Source: Nano-Structures & Nano-Objects 36, 101035

  • 🧪 Investigating the impact of toxicity on plant growth dynamics through the zero of a fifth-degree exponential polynomial: A mathematical model using DDE
    Authors: Dipesh, P.K.
    Year: 2023
    Citations: 6
    Source: Chaos, Solitons & Fractals 171, 113457

  • 🌾 Modelling the stimulatory and inhibitory allelopathic effects on competing plant populations
    Authors: Dipesh, P. Kumar
    Year: 2022
    Citations: 6
    Source: AIP Conference Proceedings 2435 (1)

  • 📈 Modeling and analysis of demand-supply dynamics with a collectability factor using DDE in economic growth via the Caputo operator
    Authors: Dipesh, Q. Chen, P. Kumar, H.M. Baskonus
    Year: 2024
    Citations: 5
    Source: AIMS Mathematics 9 (3), 7471–7191

  • 🌿 Sensitivity and Directional Analysis of Two Mutually Competing Plant Population Under Allelopathy Using DDE
    Authors: Dipesh, P. Kumar
    Year: 2023
    Citations: 3
    Source: Mathematics and Computing, 605–620

  • 🌱 Role of Delay on Two Competing Plant Populations Under the Allelopathic Effect
    Authors: Dipesh, P. Kumar
    Year: 2022
    Citations: 2
    Source: Emerging Advancements in Mathematical Sciences, 39–58

  • 💰 Stability Analysis of GDP-National Debt Dynamics using Delay Differential Equation
    Authors: Q. Chen, Dipesh, P. Kumar, H.M. Baskonus
    Year: 2024
    Citations: 1
    Source: Fractals, 2540059

  • 🌿 A novel approach to 6th-order DDEs in toxic plant interactions and soil impact: beyond Newton-Raphson
    Authors: Dipesh, P. Kumar
    Year: 2024
    Citations: 1
    Source: Physica Scripta 99 (6), 065236

  • 🧲 Exchange-coupling enhanced: Tailoring structural and magnetic properties of Dy iron garnet ferrite nanoparticles via La substitution
    Authors: Dipesh, A. Sharma, P. Kumar, J.V. Vas, R. Medwal, A.K. Srivastava
    Year: 2024
    Citations: 1
    Source: Journal of Materials Research, 1–18

  • 📊 On the equilibrium point and Hopf-Bifurcation analysis of GDP-national debt dynamics under delayed investment: A new DDE model
    Authors: Dipesh, Q. Chen, P. Kumar, H.M. Baskonus
    Year: 2024
    Citations: 1
    Source: Alexandria Engineering Journal 91, 510–515

  • 🔍 Unlocking the Potential of Garnet Ferrites: A Comprehensive Review on Properties, Preparation Methods, and Applications
    Authors: A. Sharma, Dipesh
    Year: 2024
    Citations: 1
    Source: Materials Performance and Characterization 13 (1), 1–36

  • 🔋 Status and Prospects of GdIG Garnet Ferrites for Energy Storage Devices: A Review
    Authors: A. Sharma, Dipesh, H. Mahajan, A.K. Srivastava
    Year: 2024
    Citations: 1
    Source: Next Generation Materials for Sustainable Engineering, 174–186

  • 🌲 Delay DDE model of forest biomass and competition between wood‐based and synthetic‐based industries
    Authors: Dipesh, P. Kumar
    Year: 2023
    Citations: 1
    Source: Mathematical Methods in the Applied Sciences

  • 🫀 Modelling the Role of Delay in Blood Flow Dynamics in the Human Body using DDE
    Authors: Dipesh, P. Kumar
    Year: 2025
    Citations: –
    Source: Physica A: Statistical Mechanics and its Applications, 130602

  • 💹 On modeling the impact of delay on stock pricing fluctuations using DDE
    Authors: Y. Wang, Dipesh, P. Kumar, H.M. Baskonus, W. Gao
    Year: 2025
    Citations: –
    Source: Physica A: Statistical Mechanics and its Applications, 130601

  • 🍃 Modeling and analyzing delay in plant responses under toxicity
    Authors: Dipesh, P. Kumar, H.M. Baskonus
    Year: 2025
    Citations: –
    Source: Advances in Computational Methods and Modeling for Science and Engineering

  • 🌱 Effect of time delay on directional and stability analysis of plant competition for allelochemicals study
    Authors: Dipesh, P. Kumar, H.M. Baskonus, A. Ciancio
    Year: 2025
    Citations: –
    Source: Advances in Computational Methods and Modeling for Science and Engineering

 

Daniel Condurache | Mathematical Engineering | Outstanding Contribution Award

Posted on by Math Scientist

Prof. Daniel Condurache | Mathematical Engineering | Outstanding Contribution Award

Professor at Technical University of Iasi, Romania

Prof. Daniel Condurache is a distinguished researcher and academic leader specializing in theoretical mechanics, robotics, orbital mechanics, and mathematical modeling. A Professor and PhD Supervisor at Gheorghe Asachi Technical University of Iași, he has held key leadership positions, including Vice-Rector and Head of Department. He is a Corresponding Member of the Romanian Academy and a Senior Member of IEEE, AIAA, AMS, ASME, and AAS, reflecting his international recognition. With over 100 research articles published in prestigious journals, his work spans integral transformations, Lie algebra, and spaceflight mechanics, earning him H-index scores of 12-18 across research databases. He also serves as an editor and reviewer for multiple scientific journals. His contributions to mechanical engineering, mechatronics, and robotics have shaped both academic and industrial research. While already a leading figure, increased international collaborations and industry applications could further enhance his impact. He is an outstanding candidate for the Best Researcher Award.

Professional Profile

Google Scholar
Scopus Profile
ORCID Profile

Education

Prof. Daniel Condurache holds a Ph.D. in Mechanical Engineering (Magna Cum Laude) from Gheorghe Asachi Technical University of Iași, Romania. He also earned an Engineering degree from the Polytechnic Institute of Iași, Faculty of Electronics and Telecommunications. Additionally, he pursued studies in Mathematics at Alexandru Ioan Cuza University of Iași, Romania, further enhancing his analytical skills. His strong academic foundation in mechanical engineering, robotics, and applied mathematics has significantly contributed to his expertise in kinematics, dynamics, and theoretical mechanics. Over the years, he has continued his research in advanced mathematical modeling, integral transformations, and Lie algebra applications in mechanics. His interdisciplinary education has allowed him to bridge gaps between engineering, physics, and mathematics, leading to groundbreaking contributions in robotics, orbital mechanics, and rigid body dynamics. His academic journey reflects a commitment to continuous learning and innovation in theoretical and applied mechanics.

Professional Experience

Prof. Condurache has had a distinguished academic career spanning over four decades at Gheorghe Asachi Technical University of Iași. He has held multiple leadership positions, including Vice-Rector, Head of the Department of Theoretical Mechanics, and Professor. His teaching portfolio includes Theoretical Mechanics, Modeling and Simulation of Mechanical Systems, and Mathematical Foundations of Robotics. Beyond academia, he has contributed as a Ph.D. supervisor in mechanical engineering, mentoring the next generation of researchers. He has also played a vital role in Romania’s academic and research policies as a member of CNATDCU (Mechanical Engineering, Mechatronics, and Robotics) and CCCDI (Ministry of Research, Innovation, and Digitalization). Additionally, he has served as an editor for academic journals and conference proceedings, reinforcing his influence in the field. His extensive experience across teaching, research, and administration highlights his dedication to advancing both academia and engineering innovation.

Research Interests

Prof. Condurache’s research focuses on higher-order kinematics, rigid body dynamics, orbital mechanics, robotics, and Lie algebra applications in engineering. His work integrates mathematics, physics, and engineering principles to develop innovative models for spacecraft dynamics, robotic manipulators, and multibody systems. He specializes in algebraic and geometric methods in dynamical systems, astrodynamics, dual quaternions, integral transformations, and wavelet analysis. His contributions to rigid body motion parameterization using dual tensors and Cayley transforms have been widely recognized in the academic community. His recent publications explore higher-order kinematics of multibody systems and gravitational interactions in non-inertial reference frames, with applications in celestial mechanics, robotics, and spaceflight mechanics. His interdisciplinary research has significantly advanced the understanding of complex mechanical systems and influenced fields such as aerospace engineering, automation, and computational kinematics.

Awards and Honors

Prof. Condurache’s achievements have earned him numerous accolades, including his election as a Corresponding Member of the Romanian Academy and the Academy of Technical Sciences in Romania. He is a Senior Member of IEEE, AIAA (American Institute of Aeronautics and Astronautics), ASME (American Society of Mechanical Engineers), and AMS (American Mathematical Society), demonstrating his global recognition in the scientific community. He is also a founding member of the Romanian Society of Theoretical and Applied Mechanics and has received multiple awards for his research contributions in mechanical engineering and robotics. His extensive publication record, with over 100 research papers in ISI-indexed journals, and an H-index reflecting significant citations, underscores his influence in the field. His impact extends beyond Romania, with collaborations in international research projects and editorial roles in prestigious scientific journals.

Conclusion

Prof. Daniel Condurache is a highly accomplished researcher, educator, and academic leader with an extensive career in mechanical engineering, robotics, and theoretical mechanics. His contributions to kinematics, multibody systems, and rigid body dynamics have significantly influenced both academic research and industrial applications. As a respected professor and Ph.D. supervisor, he has mentored numerous scholars, shaping the future of mechanical engineering and robotics. His global recognition through memberships in prestigious organizations and editorial contributions reflects his commitment to advancing scientific knowledge. With over four decades of experience, multiple leadership roles, and groundbreaking research, Prof. Condurache stands as a leading figure in modern engineering and applied mathematics. His work continues to push the boundaries of kinematic modeling, spaceflight mechanics, and robotic control, ensuring his lasting impact on both theoretical and applied sciences.

Publications Top Noted

  1. Title: Orthogonal Dual Tensor Method for Solving the AX=XB Sensor Calibration Problem

    • Authors: D. Condurache, A. Burlacu

    • Year: 2016

    • Citations: 107

    • Source: Mechanism and Machine Theory, Vol. 104, pp. 382-404

  2. Title: Dual Tensors-Based Solutions for Rigid Body Motion Parameterization

    • Authors: D. Condurache, A. Burlacu

    • Year: 2014

    • Citations: 74

    • Source: Mechanism and Machine Theory, Vol. 74, pp. 390-412

  3. Title: Relative Spacecraft Motion in a Central Force Field

    • Authors: D. Condurache, V. Martinuşi

    • Year: 2007

    • Citations: 48

    • Source: Journal of Guidance, Control, and Dynamics, Vol. 30 (3), pp. 873-876

  4. Title: Resistivity and Curie Point of Li‐Zn Ferrites

    • Authors: N. Rezlescu, D. Condurache, P. Petrariu, E. Luca

    • Year: 1974

    • Citations: 47

    • Source: Journal of the American Ceramic Society, Vol. 57 (1), pp. 40-40

  5. Title: Foucault Pendulum-Like Problems: A Tensorial Approach

    • Authors: D. Condurache, V. Martinuşi

    • Year: 2008

    • Citations: 45

    • Source: International Journal of Non-Linear Mechanics, Vol. 43 (8), pp. 743-760

  6. Title: Left Atrial Structure and Function are Associated with Cardiovascular Outcomes Independent of Left Ventricular Measures: A UK Biobank CMR Study

    • Authors: Z. Raisi-Estabragh, C. McCracken, D. Condurache, N. Aung, J.D. Vargas, et al.

    • Year: 2022

    • Citations: 41

    • Source: European Heart Journal – Cardiovascular Imaging, Vol. 23 (9), pp. 1191-1200

  7. Title: A Minimal Parameterization of Rigid Body Displacement and Motion Using a Higher-Order Cayley Map by Dual Quaternions

    • Authors: D. Condurache, I. Popa

    • Year: 2023

    • Citations: 2

    • Source: Symmetry, Vol. 15 (11), 2011

  8. Title: An Analysis of Higher-Order Kinematics Formalisms for an Innovative Surgical Parallel Robot

    • Authors: C. Vaida, I. Birlescu, B. Gherman, D. Condurache, D. Chablat, D. Pisla

    • Year: 2025

    • Citations: [Not available]

    • Source: Mechanism and Machine Theory, Vol. 209, 105986

  9. Title: An Overview of Higher-Order Kinematics of Rigid Body and Multibody Systems with Nilpotent Algebra

    • Authors: D. Condurache

    • Year: 2025

    • Citations: [Not available]

    • Source: Mechanism and Machine Theory, Vol. 209, 105959

  10. Title: About a Classical Gravitational Interaction in a General Non-Inertial Reference Frame: Applications on Celestial Mechanics and Astrodynamics

    • Authors: D. Condurache, M. Cojocari, I. Popa

    • Year: 2025

    • Citations: [Not available]

    • Source: Symmetry, Vol. 17 (3), 368

  11. Title: A Closed Form of Higher-Order Cayley Transforms and Generalized Rodrigues Vectors Parameterization of Rigid Motion

    • Authors: D. Condurache, M. Cojocari, I.A. Ciureanu

    • Year: 2024

    • Citations: [Not available]

    • Source: Mathematics, Vol. 13 (1), 114

  1. Title: Dual Lie Algebra Representations of the Rigid Body Motion

    • Authors: D. Condurache, A. Burlacu

    • Year: 2014

    • Citations: 35

    • Source: AIAA/AAS Astrodynamics Specialist Conference, 4347

  1. Title: Advances in Robot Kinematics

    • Authors: J. Lenarcic, C. Galletti

    • Year: 2004

    • Citations: 39

    • Source: Kluwer Academic

 

 

Katlego Sebogodi | Mathematical Modeling | Best Researcher Award

Posted on by Math Scientist

Dr. Katlego Sebogodi | Mathematical Modeling | Best Researcher Award

Lecturer at University of South Africa, South Africa

Dr. Katlego Sebogodi is a distinguished mathematician and educator with a PhD in Mathematics from the University of Witwatersrand. His research focuses on asymmetric topology, modular quasi-metric spaces, fluid mechanics, and AI-driven mathematical modeling. He has published in reputable journals and supervises postgraduate students in advanced mathematical research. With extensive teaching experience at institutions like the University of South Africa and the University of Johannesburg, he has contributed significantly to mathematics education. A recipient of the 2021 UJ Community Engagement Prize and the 2024 Department of Mathematics Educhanger of the Month award, Dr. Sebogodi actively fosters STEM education through his NPO, MATHSCIEMATICS, and authorship of STAR MATHS and STAR PHYSICS study guides. His leadership roles in academic committees, peer review contributions, and participation in national and international awards highlight his commitment to advancing mathematical sciences. His research, mentorship, and outreach efforts make him a strong candidate for the Best Researcher Award.

Professional Profile

 Scopus Profile

Education

Dr. Katlego Sebogodi pursued his academic journey in mathematics with a strong foundation at North-West University, where he earned a BSc in Mathematical Sciences (2012-2013), followed by a BSc Honours in Mathematics and Applied Mathematics (2014). He further specialized with an MSc in Mathematics (2015-2016), focusing on advanced mathematical structures. Driven by a passion for mathematical research, he completed his PhD at the University of Witwatersrand (2018-2019) under the supervision of Prof. Olivier Olela Otafudu. His doctoral research explored topological aspects of modular quasi-metric spaces, contributing to the broader understanding of asymmetric topology and metric structures. His academic progression showcases a commitment to deepening his expertise in mathematical sciences, laying a strong foundation for his subsequent teaching, research, and professional contributions. His educational background is complemented by active participation in mathematical awards and workshops, ensuring continuous engagement with emerging trends in the field.

Professional Experience

Dr. Sebogodi has extensive teaching and academic experience across various institutions. Currently, he is a faculty member at the University of South Africa (2025–present), where he lectures on Pre-Calculus. Previously, he served at the University of Johannesburg (2018–2024), delivering courses such as Multivariable Calculus, Topology, and Linear Algebra. His earlier teaching roles include Sol Plaatje University (2018), North-West University (2015, 2017), and multiple secondary schools, where he facilitated mathematics courses for different levels. Beyond teaching, he has played leadership roles in academic committees, including serving as Head of Community Engagement and Tutor Management at the University of Johannesburg. Additionally, he actively supervises postgraduate research, guiding students in fields such as modular metric spaces, AI applications in fluid mechanics, and mathematical modeling for sustainability. His professional trajectory demonstrates a commitment to advancing mathematical education, mentoring young researchers, and contributing to institutional academic excellence.

Research Interests

Dr. Sebogodi’s research spans multiple domains within mathematics and applied sciences. His primary focus is asymmetric topology, particularly modular quasi-pseudometric spaces, contributing to advancements in non-standard metric structures. Additionally, he explores the intersection of mathematics and technology, with interests in data science, machine learning, and artificial intelligence. His work on fluid mechanics involves utilizing physics-informed neural networks (PINNs) to solve complex mathematical models, including rogue wave phenomena. In biomathematics, he investigates mathematical models for sustainability, crime cycles, and resource management. His interdisciplinary approach enables him to bridge theoretical mathematics with practical applications, fostering collaborations across scientific domains. His research outputs include publications in peer-reviewed journals, award presentations, and ongoing supervision of student projects in AI-driven mathematical modeling. Through his research, Dr. Sebogodi aims to contribute innovative mathematical solutions to real-world problems while expanding the frontiers of modern mathematical sciences.

Awards and Honors

Dr. Sebogodi has been recognized for his outstanding contributions to mathematics and education. In 2021, he received the University of Johannesburg Community Engagement Prize for his dedication to outreach and mentorship in mathematics. His commitment to excellence in teaching earned him the 2024 Department of Mathematics Educhanger of the Month award, acknowledging his role as a transformative educator. Beyond institutional recognition, he has been actively involved in community-driven initiatives, such as authoring the STAR MATHS and STAR PHYSICS study guides for high school students. He is also the founder and CEO of MATHSCIEMATICS, an NPO dedicated to supporting mathematics and science education. His contributions to academic service include refereeing for mathematical journals, organizing awards, and serving on curriculum development committees. These accolades reflect his passion for education, research, and community impact, positioning him as an influential figure in mathematical sciences.

Conclusion

Dr. Katlego Sebogodi exemplifies a distinguished scholar and educator committed to advancing mathematics through research, teaching, and community engagement. His academic journey, from earning a PhD in mathematics to mentoring postgraduate students, highlights his dedication to knowledge creation and dissemination. His expertise in asymmetric topology, data science, and mathematical modeling reflects his ability to bridge theoretical mathematics with real-world applications. Beyond academia, his community outreach initiatives and leadership roles showcase his commitment to empowering students and researchers. Recognized for his excellence in teaching and research, he has received multiple awards for his contributions to education and mathematical sciences. As an active researcher, mentor, and educator, Dr. Sebogodi continues to shape the mathematical landscape, making him a deserving candidate for prestigious research and academic awards. His work serves as an inspiration for the next generation of mathematicians, reinforcing the critical role of mathematical sciences in technological and societal advancements.

Publications Top Noted

Title: A Simple Model of the Draupner Wave Experiment
Authors: G.C. Hocking, E. Nel, A. Markham, S. Ahmedai, N. Freeman
Year: 2025
Citations: 0 (as of now)
Source: Partial Differential Equations in Applied Mathematics