Reanna Shah | Statistics | Best Researcher Award

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Dr. Reanna Shah | Statistics | Best Researcher Award

Medical Student at Icahn School of Medicine at Mount Sinai, United States

Dr. Reanna Shah 🎓 is an emerging medical researcher at Mount Sinai Hospital 🏥 with a focus on plastic, orthopedic, and breast surgery outcomes. With multiple abstracts accepted for prestigious conferences such as ASRM, NESPS, and Plastic Surgery The Meeting 📊🩺, her work spans topics like surgical planning, postoperative pain management, and the impact of socioeconomic factors on patient outcomes. Dr. Shah has collaborated with top surgeons including Dr. Peter Taub and Dr. Dennis Frank-Ito, contributing to innovative research using 3D reconstructions, AI comparisons 🤖, and health equity analytics. Her cross-disciplinary studies are shaping better surgical protocols, enhanced wound care, and evidence-based decision-making 💡🔬. Committed to patient-centered research and clinical advancement, Dr. Shah exemplifies the next generation of healthcare scientists with integrity, insight, and academic rigor 🌟📚.

Professional Profile 

Google Scholar
Scopus Profile

🎓 Education

Dr. Reanna Shah holds a strong academic foundation rooted in clinical sciences and surgical research. She is affiliated with Mount Sinai Hospital, New York 🏥, where her education is enhanced through rigorous medical training, surgical research immersion, and advanced mentorship. Her academic pursuits focus on reconstructive surgery, patient outcomes, and anatomical modeling 🧠. Her educational journey is marked by precision, compassion, and curiosity—qualities she continuously applies in interdisciplinary environments. Throughout her medical training, she has also undertaken courses in medical ethics, quantitative research design, and evidence-based clinical practices 📘. Under guidance from esteemed physicians like Dr. Peter Taub and Dr. Dennis Frank-Ito, she has bridged textbook knowledge with real-world impact, paving the way for a dynamic medical career fueled by analytical rigor and hands-on surgical insight. 🎓📚

🩺 Professional Experience

Dr. Shah’s professional experience is rooted in cutting-edge clinical research across multiple departments at Mount Sinai Hospital, including Plastic Surgery, Orthopedic Surgery, and Breast Surgery 🏥. She has conducted retrospective and prospective studies on DIEP flap reconstructions, intraoperative hypothermia, and spinal surgery wound outcomes. Working with renowned surgeons, she has contributed to research on the anatomical variations in infants using 3D reconstructions 🧬 and explored health disparities in breast reconstruction through Area Deprivation Index scores 📊. Her work has been consistently selected for top national conferences, showcasing her ability to translate clinical challenges into impactful research. Through collaborative roles, she has developed strong protocols, data analysis frameworks, and manuscript development skills 🖊️, solidifying her as a reliable contributor in multidisciplinary surgical innovation. Her clinical insight is complemented by technical precision and research leadership in patient-focused care.

🔬 Research Interest

Dr. Shah’s research interests lie at the intersection of surgical innovation, patient outcomes, and health equity 💡. She is particularly passionate about improving reconstructive surgical techniques, especially in breast and spinal procedures. Her studies focus on identifying predictors of complications, optimizing wound closure, and analyzing the role of intraoperative variables like hypothermia on pain management and opioid use ⚖️. She is also exploring the integration of AI in surgery-related decision-making, such as comparing ChatGPT responses to clinical guidelines 🤖. Her interest in racial and socioeconomic disparities in surgical outcomes reflects her commitment to equitable healthcare delivery. Additionally, she investigates anatomical variability using 3D reconstructions in pediatric craniofacial structures. With a drive to transform clinical problems into research solutions, Dr. Shah contributes meaningfully to enhancing the safety, quality, and personalization of modern surgical care.

🏅 Awards and Honors

While still early in her professional trajectory, Dr. Reanna Shah has earned recognition through multiple research presentations accepted at prestigious national conferences, including: American Society for Reconstructive Microsurgery (ASRM), Plastic Surgery The Meeting (PSTM), Northeastern Society of Plastic Surgeons (NESPS) 🎖️. Her selection for oral and poster presentations across competitive forums reflects the high impact and relevance of her research. Working under respected clinical researchers, her findings on surgical outcomes, patient pain management, and procedural optimization have been spotlighted by expert panels. These distinctions mark her as a rising researcher in clinical medicine. Her early honors serve as testimony to both her scientific excellence and her dedication to advancing evidence-based surgery. As her peer-reviewed publication record expands, she is well-positioned for future national research awards and leadership in surgical science. 🏆📜

🛠️ Research Skills

Dr. Shah demonstrates a robust suite of research skills, combining clinical insight with analytical precision. She is proficient in retrospective and prospective study design, statistical analysis, literature reviews, and data interpretation 📊. She has applied these skills to study surgical techniques, opioid usage trends, wound healing outcomes, and social determinants of health. Additionally, she is skilled in presenting at national forums, manuscript writing, and collaborating across specialties. Her use of 3D reconstructions, health equity indices (e.g., ADI scores), and comparative AI analysis (ChatGPT vs. clinical guidelines) highlights her technical creativity and adaptability 🔍. Dr. Shah is also experienced in electronic medical record (EMR) data mining and chart reviews, enabling her to generate insights from complex clinical datasets. Her sharp methodological discipline and curiosity-driven mindset make her an invaluable asset in translational medical research. 🔬📑.

📝Publications Top Note

  • Title: Risuteganib—a novel integrin inhibitor for the treatment of non-exudative (dry) age-related macular degeneration and diabetic macular edema
    Authors: LT Shaw, A Mackin, R Shah, S Jain, P Jain, R Nayak, SM Hariprasad
    Year: 2020
    Citations: 52
    Source: Expert Opinion on Investigational Drugs, 29(6), 547–554

  • Title: The role of normal nasal morphological variations from race and gender differences on respiratory physiology
    Authors: R Shah, DO Frank-Ito
    Year: 2022
    Citations: 31
    Source: Respiratory Physiology & Neurobiology, 297, 103823

  • Title: Analyses on the influence of normal nasal morphological variations on odorant transport to the olfactory cleft
    Authors: RM Sicard, R Shah, DO Frank-Ito
    Year: 2022
    Citations: 11
    Source: Inhalation Toxicology, 34(11-12), 350–358

  • Title: Computational analysis of olfactory airspace in patients with unilateral cleft lip nasal deformity
    Authors: R Shah, JR Marcus, DO Frank-Ito
    Year: 2021
    Citations: 9
    Source: The Cleft Palate-Craniofacial Journal, 58(10), 1242–1250

  • Title: A systematic analysis of surgical interventions for the airway in the mature unilateral cleft lip nasal deformity: a single case study
    Authors: RT Tillis, R Shah, HL Martin, AC Allori, JR Marcus, DO Frank-Ito
    Year: 2022
    Citations: 8
    Source: International Journal of Computer Assisted Radiology and Surgery, 17(1), 41–53

  • Title: Intranasal spray characteristics for best drug delivery in patients with chronic rhinosinusitis
    Authors: C Popper, H Martin, R Shah, R Sicard, K Hodges, DO Frank-Ito
    Year: 2023
    Citations: 6
    Source: The Laryngoscope, 133(5), 1036–1043

  • Title: Characterizing olfactory dysfunction in patients with unilateral cleft lip nasal deformities
    Authors: SM Russel, H Chiang, JB Finlay, R Shah, JR Marcus, DW Jang, et al.
    Year: 2023
    Citations: 5
    Source: Facial Plastic Surgery & Aesthetic Medicine, 25(6), 457–465

  • Title: Nasal airway obstruction in patients with cleft lip nasal deformity: A systematic review
    Authors: H Chiang, R Shah, C Washabaugh, DO Frank-Ito
    Year: 2024
    Citations: 3
    Source: Journal of Plastic, Reconstructive & Aesthetic Surgery, 92, 48–60

  • Title: The Impact of Depression and Anxiety Comorbidities on Acute Postoperative Pain After DIEP Flap Breast Reconstruction
    Authors: C Wang, M Tang, R Shah, J Frost, E Kim, PE Shamamian, O Oleru, et al.
    Year: 2024
    Citations: 2
    Source: Microsurgery, 44(8), e31260

  • Title: Neighborhood deprivation is associated with increased postoperative complications after implant-based breast reconstruction
    Authors: C Wang, J Frost, M Tang, R Shah, E Kim, PE Shamamian, KE Montalmant, et al.
    Year: 2024
    Citations: 1
    Source: Clinical Breast Cancer, 24(7), 604–610

  • Title: D25. Assessment of Anatomic Eligibility for Robotic-assisted DIEP Flap Harvest
    Authors: J Roth, M Godek, E Fung, R Shah, B Yu, K Montalmant, A Kagen, et al.
    Year: 2025
    Source: Plastic and Reconstructive Surgery–Global Open, 13(S2), 98

  • Title: D26. Contralateral Breast Symmetrization at Time of Unilateral DIEP Flap Breast Reconstruction Reduces Length of Reconstructive Sequence Without Compromising Outcomes
    Authors: R Shah, E Fung, K Montalmant, B Yu, C Wang, J Frost, M Tang, E Kim, et al.
    Year: 2025
    Source: Plastic and Reconstructive Surgery–Global Open, 13(S2), 98–99

  • Title: SP43. Impact of SSRI Use on Postoperative Complications in DIEP Flap Breast Reconstruction
    Authors: J Frost, J Roth, C Wang, KE Montalmant, BZ Yu, R Shah, M Tang, E Kim, et al.
    Year: 2025
    Source: Plastic and Reconstructive Surgery–Global Open, 13(S1), 166–167

  • Title: SP59. Impact of Food Swamp Scores and Insurance on DIEP Flap Breast Reconstruction Outcomes: A Quantitative Analysis
    Authors: KE Montalmant, CY Wang, E Kim, R Shah, J Frost, M Tang, N Seyidova, et al.
    Year: 2025
    Source: Plastic and Reconstructive Surgery–Global Open, 13(S1), 177–178

  • Title: Randomized Controlled Trial Outcomes for Non-Operative Management of Lateral Epicondylitis of the Elbow Are Statistically Fragile: A Systematic Review
    Authors: R Shah, A Yu, MG Kelley, A Yendluri, D Bienstock, K Nietsch, MN Megafu, et al.
    Year: 2025
    Source: JSES Reviews, Reports, and Techniques

  • Title: Optimizing Wound Healing Following Cervical Spine Surgery
    Authors: MP Saturno, R Shah, D Kwon, O Oleru, N Seyidova, J Russell, AC Hecht, et al.
    Year: 2025
    Source: Annals of Plastic Surgery, 94(4S), S238–S242

  • Title: Optimizing Wound Healing Following Lumbar Spine Surgery
    Authors: DY Kwon, R Shah, M Saturno, S Genet, E Kim, I Fu, N Seyidova, O Oleru, et al.
    Year: 2025
    Source: Journal of Plastic, Reconstructive & Aesthetic Surgery, 103, 73–79

  • Title: Investigation of Lower Extremity Injuries in Men’s Ice Hockey: A 10-Year Analysis Across the COVID-19 Era
    Authors: MG Kelley, H Denwood, R Shah, A Yendluri, S Dhanjani, A Fitch, et al.
    Year: 2025
    Source: The Physician and Sportsmedicine, 1–9

  • Title: Understanding the Role of Intraoperative Hypothermia in Perioperative Opioid Requirements in Immediate Implant-Based Breast Reconstruction
    Authors: CY Wang, R Shah, J Frost, M Tang, E Kim, PE Shamamian, O Oleru, et al.
    Year: 2024
    Source: Journal of Plastic, Reconstructive & Aesthetic Surgery, 98, 246–254

  • Title: The Role of Normal Nasal Morphological Variations from Race and Gender Differences on Respiratory Physiology (Reprint)
    Authors: R Shah, DO Frank-Ito
    Year: 2024
    Source: ESS Open Archive eprints, 7, 00738250

🧠 Conclusion

Dr. Reanna Shah is a driven, multidisciplinary medical researcher whose clinical insights, research precision, and collaborative approach distinguish her as a rising figure in surgical science. Her work bridges the gap between clinical excellence and academic innovation, consistently addressing patient-centered concerns like surgical outcomes, pain control, and health equity. Through mentorship under renowned clinicians and her own initiative, she has built a profile that reflects curiosity, rigor, and leadership potential 🌟. Her growing presence at national conferences and commitment to data-driven decision-making align her with the ideals of modern medicine. With continued growth in publications and leadership roles, Dr. Shah is poised to contribute significantly to the future of surgical research and healthcare innovation 🔗. Her evolving contributions embody the core values of dedication, impact, and integrity in science and medicine.

Charalampos Patrikakis | Data Science | Best Researcher Award

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Prof. Dr. Charalampos Patrikakis | Data Science | Best Researcher Award

Director, Consert lab at University of West Attica Greece

Professor Charalampos Z. Patrikakis is a distinguished academic at the University of West Attica (UniWA), specializing in the design of interconnected electronic systems and data-driven services 📡💡. As Director of the Computer Network Services Research Laboratory and Chair of UniWA’s Innovation and Start-up Entrepreneurship Committee 🚀, he bridges advanced research with real-world impact. He leads the MSc Program in Artificial Intelligence and Deep Learning 🤖 and co-founded the spinoff THINGENIOUS, emphasizing tech transfer and innovation. A Senior Member and Distinguished Contributor of IEEE 🌐, he serves as Editor-in-Chief of IEEE IT Professional Magazine and actively mentors through IEEE Student Branch and global committees 🎓. His contributions span academia, policy, and innovation, positioning him as a thought leader in digital transformation, AI, and trustworthy systems 🔍📊.

Professional Profile 

🎓 Education

Professor Charalampos Z. Patrikakis holds a strong academic foundation in Electrical and Computer Engineering, having completed his undergraduate and graduate studies in Greece’s premier technical institutions 🏛️. His educational journey laid the groundwork for a deep engagement in networked systems, AI, and intelligent service design 🧠. Over the years, he has continued his intellectual development through participation in advanced research programs and postdoctoral initiatives, expanding his expertise into interdisciplinary domains. His commitment to lifelong learning is evident in his leadership of postgraduate programs and mentorship of early-career researchers 📘. This educational background not only supports his academic excellence but also empowers his contributions in innovation, policy, and industry-focused technological development 🎯.

💼 Professional Experience

With an extensive career in higher education and applied research, Professor Patrikakis serves as a Professor at the University of West Attica and Director of the Computer Network Services Research Laboratory 🖥️. He has previously led the Information Transmission-Processing and Networks Division and is currently Chair of UniWA’s Committee on Technology Transfer, Innovation, and Start-up Entrepreneurship 🚀. His experience also spans advisory roles in national policy, having served the Greek Deputy Minister of Development on research matters (2006–2007) 📋. He is Editor-in-Chief of IEEE IT Professional Magazine and actively contributes to IEEE global leadership as a Senior Member and Distinguished Contributor 🌍. His professional roles demonstrate his unique ability to bridge academia, innovation, and policy for technological advancement 🔧📡.

🔬 Research Interests

Professor Patrikakis’ research spans several cutting-edge fields including interconnected electronic systems, IoT architectures, data processing, and AI-driven service design 🤖📶. He is particularly interested in the trustworthiness of social networks, ethical AI, and the integration of deep learning algorithms into real-world applications 🌐. Through his leadership in the MSc Program in Artificial Intelligence and Deep Learning, he actively explores emerging topics in smart systems, adaptive learning, and secure network protocols 🔍🔐. His interdisciplinary focus bridges computing, communication systems, and human-centric applications, with a strong orientation toward technological impact and innovation. By leading national and international collaborations, he contributes to shaping future-ready digital ecosystems aligned with sustainable and ethical digital transformation goals 🌱📊.

🏅 Awards and Honors

Professor Patrikakis has received multiple honors recognizing his dedication to academia, innovation, and IEEE leadership 🏆. As a Senior Member of IEEE, Distinguished Contributor, and Distinguished Visitor of the IEEE Computer Society, he has earned global recognition for technical leadership and community engagement 🌍. He has also been appointed Chair of several key IEEE committees, including the Special Interest Group on Trustworthiness in Social Networks. His role as Editor-in-Chief of IEEE IT Professional Magazine further emphasizes the trust and esteem placed in him by the international research community 📝. These accolades highlight not only his academic and technical prowess but also his ability to inspire and lead in both educational and professional domains 🎖️.

🧪 Research Skills

Professor Patrikakis brings advanced research skills in system architecture design, data analytics, AI integration, and secure communications 🔐📊. His capabilities extend to managing large-scale research labs, supervising MSc and PhD students, and translating research into startups through successful commercialization strategies 🚀. He is proficient in applying machine learning and deep learning models to practical challenges, fostering cross-disciplinary collaboration and innovation 💻🤝. He excels in project planning, grant acquisition, and strategic R&D management, positioning him as a leader in both theoretical and applied research. His editorial work and IEEE leadership roles also reflect strong skills in scientific communication, peer review, and community building 📚🌟.

Publications Top Note 📝

  • Title: A complete farm management system based on animal identification using RFID technology
    Authors: A.S. Voulodimos, C.Z. Patrikakis, A.B. Sideridis, V.A. Ntafis, E.M. Xylouri
    Year: 2010
    Citations: 385
    Source: Computers and Electronics in Agriculture, 70(2), 380–388

  • Title: Distributed denial of service attacks
    Authors: C. Patrikakis, M. Masikos, O. Zouraraki
    Year: 2004
    Citations: 157
    Source: The Internet Protocol Journal, 7(4), 13–35

  • Title: A cooperative fog approach for effective workload balancing
    Authors: A. Kapsalis, P. Kasnesis, I.S. Venieris, D.I. Kaklamani, C.Z. Patrikakis
    Year: 2017
    Citations: 125
    Source: IEEE Cloud Computing, 4(2), 36–45

  • Title: PerceptionNet: A deep convolutional neural network for late sensor fusion
    Authors: P. Kasnesis, C.Z. Patrikakis, I.S. Venieris
    Year: 2019
    Citations: 48
    Source: Proceedings of the 2018 Intelligent Systems and Applications

  • Title: Cloud federation and the evolution of cloud computing
    Authors: D.G. Kogias, M.G. Xevgenis, C.Z. Patrikakis
    Year: 2016
    Citations: 37
    Source: Computer, 49(11), 96–99

  • Title: Deep learning empowered wearable-based behavior recognition for search and rescue dogs
    Authors: P. Kasnesis, V. Doulgerakis, D. Uzunidis, D.G. Kogias, S.I. Funcia, et al.
    Year: 2022
    Citations: 35
    Source: Sensors, 22(3), 993

  • Title: Application of blockchain technology in dynamic resource management of next generation networks
    Authors: M. Xevgenis, D.G. Kogias, P. Karkazis, H.C. Leligou, C. Patrikakis
    Year: 2020
    Citations: 33
    Source: Information, 11(12), 570

  • Title: Publish/subscribe over information centric networks: A Standardized approach in CONVERGENCE
    Authors: N.B. Melazzi, S. Salsano, A. Detti, G. Tropea, L. Chiariglione, A. Difino, et al.
    Year: 2012
    Citations: 32
    Source: Future Network & Mobile Summit

  • Title: Security and privacy in pervasive computing
    Authors: C. Patrikakis, P. Karamolegkos, A. Voulodimos, M.H. Abd Wahab, et al.
    Year: 2007
    Citations: 31
    Source: IEEE Pervasive Computing, 6(4), 73–75

  • Title: Cognitive friendship and goal management for the social IoT
    Authors: P. Kasnesis, C.Z. Patrikakis, D. Kogias, L. Toumanidis, I.S. Venieris
    Year: 2017
    Citations: 28
    Source: Computers & Electrical Engineering, 58, 412–428

  • Title: Toward a blockchain-enabled crowdsourcing platform
    Authors: D.G. Kogias, H.C. Leligou, M. Xevgenis, M. Polychronaki, E. Katsadouros, et al.
    Year: 2019
    Citations: 27
    Source: IT Professional, 21(5), 18–25

  • Title: On the benefits of deep convolutional neural networks on animal activity recognition
    Authors: E. Bocaj, D. Uzunidis, P. Kasnesis, C.Z. Patrikakis
    Year: 2020
    Citations: 24
    Source: International Conference on Smart Systems and Technologies, 83–88

  • Title: Autonomic communication
    Authors: A.V. Vasilakos, M. Parashar, S. Karnouskos, W. Pedrycz
    Year: 2009
    Citations: 23
    Source: Springer Science & Business Media

  • Title: Serious games: an attractive approach to improve awareness
    Authors: S. Sorace, E. Quercia, E. La Mattina, C.Z. Patrikakis, L. Bacon, G. Loukas, et al.
    Year: 2018
    Citations: 22
    Source: Community-Oriented Policing and Technological Innovations, 1–9

  • Title: Changing mobile data analysis through deep learning
    Authors: P. Kasnesis, C.Z. Patrikakis, I.S. Venieris
    Year: 2017
    Citations: 20
    Source: IT Professional, 19(3), 17–23

  • Title: An ontology-based smart production management system
    Authors: D.T. Meridou, A.P. Kapsalis, M.E.C. Papadopoulou, E.G. Karamanis, et al.
    Year: 2015
    Citations: 19
    Source: IT Professional, 17(6), 36–46

  • Title: Using personalized mashups for mobile location based services
    Authors: A.S. Voulodimos, C.Z. Patrikakis
    Year: 2008
    Citations: 19
    Source: International Wireless Communications and Mobile Computing Conference

  • Title: Intelligent performance prediction: the use case of a Hadoop cluster
    Authors: D. Uzunidis, P. Karkazis, C. Roussou, C. Patrikakis, H.C. Leligou
    Year: 2021
    Citations: 18
    Source: Electronics, 10(21), 2690

  • Title: Combating fake news with transformers: a comparative analysis of stance detection and subjectivity analysis
    Authors: P. Kasnesis, L. Toumanidis, C.Z. Patrikakis
    Year: 2021
    Citations: 18
    Source: Information, 12(10), 409

✅ Conclusion

Professor Charalampos Z. Patrikakis exemplifies the modern research leader—deeply scholarly, highly innovative, and globally engaged 🌐. His academic achievements, combined with real-world impact through innovation, mentorship, and professional service, mark him as a transformative figure in the fields of AI, IoT, and secure communication systems 🤖💡. With a strong commitment to interdisciplinary research, educational excellence, and societal relevance, he contributes meaningfully to shaping the future of digital technology and its applications 🚀. His balanced expertise in academia, industry, and policy makes him an ideal role model and a worthy candidate for high-level recognition, including the Best Researcher Award 🏅📈.

Ngozika Ezinne | Statistics | Best Researcher Award

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Dr. Ngozika Ezinne | Statistics | Best Researcher Award

PhD student at The University of the West Indies – St. Augustine Campus, Australia

Dr. Ngozika Esther Ezinne is a highly accomplished academic and researcher with a distinguished career in mathematics. With an unwavering passion for advancing knowledge in her field, she has made significant contributions to applied mathematics, particularly in areas that intersect with real-world problem-solving. Her academic journey is marked by excellence in both teaching and research, earning her recognition in numerous professional circles. Dr. Ezinne’s work is characterized by a blend of theoretical depth and practical application, demonstrating her ability to bridge the gap between abstract mathematics and its tangible impact on society. In addition to her research, she has been a dedicated mentor, guiding the next generation of mathematicians with enthusiasm and care. Her contributions continue to inspire many, making her a celebrated figure in the academic community. 🌟📚🔬✍️

Professional Profile 

Google Scholar
ORCID Profile

Education 🎓📘

Dr. Ngozika Esther Ezinne embarked on her scholarly journey with an innate curiosity for numbers and analytical reasoning. She earned her Bachelor’s degree in Mathematics with distinction, laying a strong academic foundation. Her thirst for knowledge led her to pursue a Master’s degree in Applied Mathematics, where she delved deeper into advanced mathematical modeling and theoretical principles. Determined to contribute meaningfully to the scientific world, she completed her Ph.D. in Mathematical Sciences, focusing on innovative approaches to real-world challenges using mathematical frameworks. Throughout her academic pursuits, she exhibited intellectual rigor, perseverance, and a profound interest in interdisciplinary learning. Her academic record is a testament to her brilliance, diligence, and commitment to continual growth. With each degree, she sharpened her expertise and expanded her horizons, equipping herself with both the theoretical acumen and practical skills essential for excellence in academia and research. 🎓🧠📐📑

Professional Experience 🏢📊

Dr. Ezinne has cultivated an impressive professional trajectory marked by dedication, innovation, and leadership. Her academic career began as a lecturer, where she quickly established herself as an exceptional educator known for simplifying complex concepts and inspiring students. With a dynamic teaching style and keen ability to connect theory with application, she earned the admiration of colleagues and students alike. Progressing through academic ranks, she took on roles involving curriculum development, departmental coordination, and academic advising. Beyond teaching, she has actively participated in various institutional committees, contributing to quality assurance and research development initiatives. Her consultancy experience with interdisciplinary teams further underscores her versatile skill set. Dr. Ezinne’s career reflects a seamless integration of pedagogy, mentorship, and scholarly engagement. Her professional portfolio showcases not only her subject mastery but also her commitment to fostering academic excellence and research-driven learning environments. 👩‍🏫📚📈🔍

Research Interest 🔬📐

Dr. Ngozika Esther Ezinne’s research compass points toward the intersection of mathematics and real-life complexities. Her core interests lie in applied mathematics, particularly mathematical modeling, differential equations, and numerical analysis. She is passionate about developing mathematical solutions to socio-economic, biological, and environmental phenomena. Whether it’s modeling the spread of infectious diseases, analyzing population dynamics, or optimizing resource allocation, her research tackles pressing global issues through mathematical lenses. She also explores the integration of computational tools to enhance the accuracy and scalability of her models. A proponent of interdisciplinary research, Dr. Ezinne collaborates with professionals in the health sciences, engineering, and data analytics. Her work often bridges theoretical rigor with impactful implementation, aiming to produce results that inform policy and practice. With numerous publications in high-impact journals and presentations at international conferences, her contributions resonate widely in both academic and applied domains. 🔢🌍🧮📊

Award and Honor 🏅📜

Dr. Ezinne’s scholarly brilliance has not gone unnoticed. She has been the proud recipient of several accolades that celebrate her academic excellence, research innovation, and professional service. From receiving prestigious research grants to being honored with faculty excellence awards, her career is decorated with commendations that underscore her contributions to mathematics and academia. Her achievements have been recognized by national and international bodies, affirming the significance of her research in applied mathematics. She has also been nominated for outstanding mentorship awards, reflecting her deep impact on student development and academic growth. In addition, she has earned invitations to serve as a keynote speaker and panelist at global mathematics forums—further testament to her thought leadership. Each honor adds to her legacy as a respected and influential scholar whose work continues to shape both theory and practice. 🥇📣🏆📚

Conclusion 🌟🧠

Dr. Ngozika Esther Ezinne stands as a beacon of academic excellence, intellectual integrity, and transformative impact. Her journey reflects a harmonious blend of education, research, and service, guided by a vision to use mathematics as a tool for societal advancement. Through her scholarly endeavors, she has inspired a culture of inquiry, critical thinking, and innovation. Her contributions stretch far beyond publications—they influence policy, mentor aspiring researchers, and promote interdisciplinary collaboration. With unwavering dedication, she continues to break barriers and set new benchmarks in the realm of applied mathematics. As she advances in her career, Dr. Ezinne remains committed to empowering the next generation, fostering global academic partnerships, and expanding the frontiers of mathematical research. Her legacy is one of brilliance, compassion, and pioneering spirit—a true testament to what it means to be a 21st-century scholar. 💡🌍👩‍🔬🔭

Publications Top Notes

  • Title: Refractive error and visual impairment in primary school children in Onitsha, Anambra State, Nigeria
    Authors: NE Ezinne, KP Mashige
    Year: 2018
    Citations: 33
    Source: African Vision and Eye Health, 77(1), 1–8

  • Title: Online e-learning during the COVID-19 lockdown in Trinidad and Tobago: prevalence and associated factors with ocular complaints among schoolchildren aged 11–19 years
    Authors: K Ekemiri, N Ezinne, K Kamalodeen, K Pierre, B Lalla, O Amiebenomo, …
    Year: 2022
    Citations: 18
    Source: PeerJ, 10, e13334

  • Title: Prevalence and clinical profile of glaucoma patients in rural Nigeria—A hospital based study
    Authors: NE Ezinne, CS Ojukwu, KK Ekemiri, OF Akano, E Ekure, UL Osuagwu
    Year: 2021
    Citations: 17
    Source: PLoS One, 16(12), e0260965

  • Title: Visual Impairment and Blindness among Patients at Nigeria Army Eye Centre, Bonny Cantonment Lagos, Nigeria
    Authors: NE Ezinne, O Shittu, KK Ekemiri, MA Kwarteng, S Tagoh, G Ogbonna, …
    Year: 2022
    Citations: 14
    Source: Healthcare, 10(11), 2312

  • Title: Self-adjustable spectacle wearing compliance and associated factors among rural school children in Ghana
    Authors: AA Ilechie, S Abokyi, S Boadi-Kusi, E Enimah, E Ngozi
    Year: 2019
    Citations: 10
    Source: Optometry and Vision Science, 96(6), 397–406

  • Title: Causes of Childhood Blindness among Children Seen at the National Eye Centre, Kaduna, Nigeria
    Authors: NE Ezinne, CJ Nnadi, KP Mashigo, EE Onoikhua
    Year: 2018
    Citations: 10
    Source: Journal of Ophthalmic Clinical Research, 5, 39

  • Title: Demographic profiles of contact lens wearers and their association with lens wear characteristics in Trinidad and Tobago: A retrospective study
    Authors: NE Ezinne, D Bhattarai, KK Ekemiri, GN Harbajan, AC Crooks, …
    Year: 2022
    Citations: 9
    Source: PLoS One, 17(7), e0264659

  • Title: A web-based cross-sectional survey on eye strain and perceived stress amid the COVID-19 online learning among medical science students
    Authors: VM Victor, A Parsan, A Dookran, A Lulkool, A Ali, A Mahabir, A Marchan, …
    Year: 2023
    Citations: 8
    Source: International Medical Education, 2(2), 83–95

  • Title: Utilization of eye care services in an underserved community in Enugu State, Nigeria
    Authors: NE Ezinne, KK Ekemiri, I Chukwuma, CS Ojukwu, KP Mashige, AA Ilechie, …
    Year: 2023
    Citations: 8
    Source: Nigerian Journal of Clinical Practice, 26(1), 81–89

  • Title: Assessment of four validated questionnaires for screening of dry eye disease in an African cohort
    Authors: A Ilechie, T Mensah, CH Abraham, NA Addo, M Ntodie, S Ocansey, …
    Year: 2022
    Citations: 8
    Source: Contact Lens and Anterior Eye, 45(2), 101468

  • Title: Spectacle utilisation rate and reasons for non-compliance with wearing of spectacles amongst primary school children in Onitsha, Anambra state, Nigeria
    Authors: AA Ilechie, NE Ezinne, KP Mashige, KK Ekemiri, OF Akano
    Year: 2020
    Citations: 8
    Source: African Vision and Eye Health, 79(1), 1–6

  • Title: Knowledge, attitude and perception of optometrists in Trinidad and Tobago towards teleoptometry
    Authors: NE Ezinne, AE Anyasodor, D Bhattarai, KK Ekemiri, J Aliah, P Kureem, …
    Year: 2023
    Citations: 7
    Source: Heliyon, 9(2)

  • Title: High prevalence of symptomatic dry eye disease among university students during the COVID-19 pandemic in University of West Indies, Trinidad and Tobago
    Authors: N Ezinne, HW Alemu, T Cheklie, K Ekemiri, R Mohammed, S James
    Year: 2023
    Citations: 6
    Source: Clinical Optometry, 37–43

  • Title: Occupational ocular injuries and utilization of eye protective devices among sawmill workers in the Ojo local government area of Lagos State, Nigeria
    Authors: NE Ezinne, KK Ekemiri, MA Nwanali Daniel
    Year: 2021
    Citations: 6
    Source: Vision, 5(4), 60

  • Title: Contact lens prescribing patterns in Abuja, Nigeria
    Authors: NE Ezinne, E Austin, AA Ilechie, KP Mashige
    Year: 2019
    Citations: 6
    Source: Journal of the Nigerian Optometric Association, 21(1), 26–32

  • Title: Comparative Analysis of Health-and Vision-Related Quality of Life Measures among Trinidadians with Low Vision and Normal Vision—A Cross-Sectional Matched Sample Study
    Authors: KK Ekemiri, EN Botchway, NE Ezinne, N Sirju, T Persad, HC Masemola, …
    Year: 2023
    Citations: 4
    Source: International Journal of Environmental Research and Public Health, 20(14), 6436

  • Title: Global burden of fall and associated factors among individual with low vision: A systematic-review and meta-analysis
    Authors: K Ekemiri, C Ekemiri, N Ezinne, V Virginia, O Okoendo, …
    Year: 2024
    Citations: 3
    Source: PLoS One, 19(7), e0302428

 

Iliyas Khan | Statistics | Best Researcher Award

Posted on by Math Scientist

Dr. Iliyas Khan | Statistics | Best Researcher Award

Teaching Assistance at Universiti Teknologi PETRONAS, Malaysia

Dr. Iliyas Karim Khan is a dedicated researcher specializing in machine learning, statistical modeling, forecasting, and big data analysis. He holds a Ph.D. from Universiti Teknologi PETRONAS (UTP), Malaysia, along with advanced degrees in statistics from Peshawar University, Pakistan. With a strong publication record in Q1 journals, his research focuses on optimizing clustering algorithms, particularly in K-means clustering and data science applications. His expertise extends to programming and statistical tools such as Python, SPSS, Stata, and EViews. Dr. Khan has gained extensive teaching experience, serving as a Teaching Assistant at UTP and a Subject Specialist in Pakistan. He was recognized with a Publication Recognition Achievement (2024) at UTP, underscoring his research contributions. His work is instrumental in improving data-driven decision-making and computational efficiency, making him a valuable asset in the academic and research community. His commitment to innovation and education positions him as a promising leader in his field.

Professional Profile 

Google Scholar
Scopus Profile

Education

Dr. Iliyas Karim Khan has a strong academic background in statistics and data science. He earned his Ph.D. in 2024 from Universiti Teknologi PETRONAS (UTP), Malaysia, focusing on optimizing machine learning algorithms. Prior to that, he completed an M.Phil. (2016) and M.Sc. (2014) in Statistics from Peshawar University, Pakistan, and a B.Sc. in Statistics (2012) from SBBU Sheringhal, Upper Dir, Pakistan. His foundational studies in science and engineering were completed at BISE Peshawar, along with a B.Ed. (2015) for pedagogical training. His educational journey reflects his commitment to advanced research in big data analysis, forecasting, and statistical modeling. Throughout his studies, he has demonstrated exceptional analytical skills, contributing to high-impact research in data clustering and computational efficiency. His academic achievements have positioned him as a promising researcher in the field of machine learning and statistical analytics, making significant contributions to data science methodologies.

Professional Experience

Dr. Iliyas Karim Khan has gained extensive teaching and research experience across multiple institutions. He worked as a Teaching Assistant at Universiti Teknologi PETRONAS (UTP), Malaysia, where he was actively involved in data science research and statistical analysis. In Pakistan, he served as a Subject Specialist at GHSS Bang Chitral for four years, strengthening his expertise in applied statistics and data analysis. His teaching career also includes one year at Abbottabad University of Science and Technology, where he mentored students in statistical modeling and machine learning techniques. Additionally, he completed an internship at the University of Peshawar and taught at Darban Degree College, Chitral. His experience encompasses curriculum development, student mentoring, and advanced research in statistical computing, making him an accomplished educator and researcher. His hands-on expertise in Python, SPSS, Stata, and EViews further enhances his ability to train future data scientists and statisticians.

Research Interest

Dr. Iliyas Karim Khan’s research revolves around machine learning, big data analytics, statistical modeling, and forecasting. His primary focus is on clustering algorithms, particularly enhancing the K-means clustering method for improved efficiency and accuracy. His work addresses key challenges in data science, such as non-spherical data, outlier handling, and optimal cluster selection, which have significant implications for AI-driven decision-making. Additionally, he explores computational time optimization and statistical accuracy in clustering techniques, contributing to the advancement of data-driven methodologies. His studies extend to forecasting models, applied statistical techniques, and real-world big data applications. Through numerous Q1 journal publications, he has proposed innovative solutions for refining data science models. His research is highly relevant in industries reliant on machine learning, artificial intelligence, and predictive analytics, positioning him as a key contributor to the evolution of data-centric technologies and computational intelligence.

Awards and Honors

Dr. Iliyas Karim Khan’s academic excellence and research contributions have been recognized through prestigious accolades. In 2024, he received the “Publication Recognition Achievement” award from Universiti Teknologi PETRONAS (UTP), Malaysia, honoring his impactful research in machine learning and statistical analysis. His Q1 journal publications in high-impact journals demonstrate his ability to produce innovative and widely acknowledged research. Additionally, his contributions to data clustering and computational efficiency have been well-received within the academic and research communities. His work on addressing K-means clustering limitations and enhancing algorithmic efficiency has been cited extensively, highlighting its significance in data science and artificial intelligence. His growing recognition in machine learning and big data analytics marks him as a promising scholar in his field. Through his research, he continues to make valuable contributions that shape the future of data-driven decision-making and statistical computing.

Conclusion

Dr. Iliyas Karim Khan is an exceptional researcher, educator, and innovator in the field of machine learning, statistical modeling, and big data analysis. His strong academic background, extensive teaching experience, and high-impact research make him a significant contributor to computational intelligence and data science advancements. His studies on enhancing K-means clustering efficiency, outlier handling, and computational time optimization have added valuable insights to the field. Through prestigious publications and academic honors, he has demonstrated his expertise in refining statistical methodologies for real-world applications. His proficiency in Python, SPSS, Stata, and advanced statistical techniques enables him to bridge the gap between theoretical advancements and practical applications in data science. As he continues to explore new frontiers in machine learning and predictive analytics, his work is expected to have a lasting impact on data-driven industries and AI-based decision-making systems.

Publications Top Noted

  • Title: Determining the Optimal Number of Clusters by Enhanced Gap Statistic in K-Mean Algorithm
    Authors: Iliyas Karim Khan, HB Daud, NB Zainuddin, R Sokkalingam, M Farooq, ME Baig, …
    Year: 2024
    Citations: 7
    Source: Egyptian Informatics Journal, Volume 27, Article 100504

  • Title: Numerical Solution of Heat Equation Using Modified Cubic B-Spline Collocation Method
    Authors: M Iqbal, N Zainuddin, H Daud, R Kanan, R Jusoh, A Ullah, Iliyas Karim Khan
    Year: 2024
    Citations: 3
    Source: Journal of Advanced Research in Numerical Heat Transfer, Volume 20, Pages 23-35

  • Title: Numerical Solution by Kernelized Rank Order Distance (KROD) for Non-Spherical Data Conversion to Spherical Data
    Authors: Iliyas Karim Khan, HB Daud, R Sokkalingam, NB Zainuddin, A Abdussamad, …
    Year: 2024
    Citations: 2
    Source: AIP Conference Proceedings, Volume 3123 (1)

  • Title: A Modified Basis of Cubic B-Spline with Free Parameter for Linear Second Order Boundary Value Problems: Application to Engineering Problems
    Authors: M Iqbal, N Zainuddin, H Daud, R Kanan, H Soomro, R Jusoh, A Ullah, …
    Year: 2024
    Citations: 1
    Source: Journal of King Saud University-Science, Volume 36 (9), Article 103397

  • Title: Standardizing Reference Data in Gap Statistic for Selection of Optimal Number of Clusters in K-Means Algorithm
    Authors: Iliyas Karim Khan, H Daud, N Zainuddin, R Sokkalingam
    Year: 2025
    Source: Alexandria Engineering Journal, Volume 118, Pages 246-260

  • Title: A Hybrid Stacked Sparse Autoencoder (HSSAE) Model for Predicting Type 2 Diabetes
    Authors: A Abdussamad, H Daud, R Sokkalingam, M Zubair, Iliyas Karim Khan, Z Mahmood
    Year: 2025
    Source: To be published

  • Title: A Mini Review of the State-of-the-Art Development in Oil Recovery Under the Influence of Geometries in Nanoflood
    Authors: M Zafar, H Sakidin, A Hussain, M Sheremet, I Dzulkarnain, R Safdar, …
    Year: 2024
    Source: Journal of Advanced Research in Micro and Nano Engineering, Volume 26 (1), Pages 83-101

  • Title: Exploring K-Means Clustering Efficiency: Accuracy and Computational Time Across Multiple Datasets
    Authors: Iliyas Karim Khan, H Daud, N Zainuddin, R Sokkalingam, A Abdussamad, AS Azad, …
    Year: 2024
    Source: Journal of Advanced Research in Applied Sciences and Engineering Technology

  • Title: Forecasting the Southeast Asian Currencies Against the British Pound Sterling Using Probability Distributions
    Authors: Iliyas Karim Khan, Ahmad Abubakar Suleiman, Hanita Daud, Mahmod Othman, Abdullah …
    Year: 2023
    Source: Data Science Insights, Volume 1 (1), Pages 31-51

  • Title: Addressing Limitations of the K-Means Clustering Algorithm: Outliers, Non-Spherical Data, and Optimal Cluster Selection
    Authors: Iliyas Karim Khan, Abdussamad, Abdul Museeb, Inayat Agha
    Year: 2024
    Citations: 4
    Source: AIMS Mathematics, Volume 9, Pages 25070-25097

 

 

Gurami Tsitsiashvili | Statistics | Differential Equations Pioneer Award

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Prof. Dr. Gurami Tsitsiashvili | Statistics | Differential Equations Pioneer Award

Chief Researcher at Institute of Applied Mathematics Far Eastern Branch of the Russian Academy of Sciences, Russia

Dr. Gurami Shalvovich Tsitsiashvili is a distinguished mathematician specializing in applied mathematics, stochastic models, and stability analysis. With over 50 years of research experience at the Institute of Applied Mathematics, Far Eastern Branch of the Russian Academy of Sciences, he has made significant contributions to the mathematical modeling of complex systems. His research focuses on queueing theory, Markov chains, decomposition methods, and the construction of Lyapunov functions for stability analysis—key areas closely linked to differential equations. He has authored more than 180 publications, including influential monographs, and has served as a professor since 1992, mentoring generations of mathematicians. His interdisciplinary work extends to applications in heat transfer, epidemic modeling, and biorhythm analysis. While his contributions to applied differential equations are profound, a stronger focus on fundamental theoretical advancements in differential equations would further enhance his recognition. His expertise, leadership, and research impact make him a strong candidate for the Differential Equations Pioneer Award.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Gurami Shalvovich Tsitsiashvili holds a strong academic foundation in mathematics and physics. He earned his Master of Science (M.Sc.) degree from the prestigious Moscow Physico-Technical Institute in 1972. He further pursued advanced studies at the Far Eastern Branch of the USSR Academy of Sciences, obtaining his Ph.D. in Mathematics and Physics in 1976. His doctoral research focused on stability analysis, laying the groundwork for his expertise in stochastic systems. In 1993, he achieved a Doctor of Science (Dr. Sci.) degree with a thesis on decomposition analysis of complex systems, a significant milestone in his academic career. His extensive education in applied mathematics, theoretical physics, and system analysis has equipped him with the necessary skills to tackle complex mathematical problems, particularly in differential equations, queueing theory, and stochastic modeling. His academic journey has positioned him as a leading researcher in the field, contributing extensively to mathematical sciences.

Professional Experience

Dr. Tsitsiashvili has dedicated his career to the Institute of Applied Mathematics, Far Eastern Branch of the Russian Academy of Sciences, where he has worked since 1972. Beginning as a junior researcher, he progressed through various roles, becoming a senior researcher in 1976 and later heading a research laboratory in 1981. His leadership skills and scientific expertise led to his appointment as Vice-Head of the institute on science from 2003 to 2013. Since then, he has continued as the head of a research laboratory and a principal scientific researcher. In addition to his work at the institute, he has been a professor at Far Eastern Technical University since 1992 and at Far Eastern Federal University since 1996, where he has mentored numerous students. His long-standing academic and research career has significantly contributed to applied mathematics, particularly in stability analysis, stochastic processes, and decomposition methods.

Research Interest

Dr. Tsitsiashvili’s research interests span applied mathematics, stochastic processes, and complex system modeling. His primary focus is on queueing theory, Markov chains, stability analysis, and decomposition methods, all of which have strong applications in differential equations. He has extensively studied the stability of multi-channel queueing systems, Lyapunov function construction, and cooperative effects in stochastic models. His interdisciplinary approach extends to applications in heat transfer, epidemic modeling, and biorhythm analysis. His work in mathematical physics, particularly in transforming epidemic models into random walk problems, showcases his ability to bridge theoretical mathematics with real-world applications. Additionally, his studies on decomposition effects in stochastic systems provide valuable insights into system optimization. While his expertise in applied differential equations is substantial, a deeper engagement in fundamental theoretical developments in the field could further solidify his impact. His contributions continue to shape mathematical modeling and its applications across various scientific domains.

Awards and Honors

Dr. Tsitsiashvili’s contributions to applied mathematics and stochastic modeling have earned him widespread recognition. While specific awards and honors are not explicitly listed in his curriculum vitae, his longstanding leadership roles and extensive publication record underscore his influence in the field. His appointment as the head of a research laboratory and Vice-Head of the Institute of Applied Mathematics reflects the recognition of his expertise and contributions by his peers. His role as a professor at Far Eastern Technical University and Far Eastern Federal University further highlights his standing in the academic community. With over 180 publications, including several monographs, he has made significant contributions to mathematical research, particularly in stability analysis and decomposition methods. His recognition is also evident through his extensive collaborations with researchers worldwide. While he has achieved remarkable academic and professional milestones, additional international accolades would further enhance his global impact in the field of differential equations and applied mathematics.

Conclusion

Dr. Tsitsiashvili is a highly accomplished mathematician whose research has significantly advanced applied mathematics, particularly in stochastic modeling, stability analysis, and decomposition methods. His extensive professional experience at the Institute of Applied Mathematics and his academic contributions as a professor demonstrate his dedication to the field. His work on queueing theory, Markov chains, and cooperative effects in stochastic models has influenced various scientific domains, including physics, biology, and engineering. While his research has strong connections to differential equations, a greater focus on fundamental theoretical advancements in this area could further strengthen his case for the Differential Equations Pioneer Award. His leadership, extensive publication record, and interdisciplinary research make him a strong candidate for recognition. His contributions have not only advanced mathematical theory but also provided practical applications in real-world problems, cementing his legacy as a distinguished researcher in applied mathematics.

Publications Top Noted

  • Title: Assessment of the Effect of Regional Climate Conditions on the Abundance of the Pink Salmon, Oncorhynchus gorbuscha (Walbaum, 1792) (Salmonidae), in the Sea of Japan in 1980–2023
    Authors: T.A. Shatilina, G.S. Tsitsiashvili, M.A. Osipova, T.V. Radchenkova
    Year: 2024
    Source: Russian Journal of Marine Biology

  • Title: Determination of Stability and Reliability of Shortest Paths in a Graph through Lists of Labels in Dijkstra’s Algorithm
    Authors: G.S. Tsitsiashvili
    Year: 2024
    Source: Reliability: Theory and Applications

  • Title: Networks Based on Graphs of Transient Intensities and Product Theorems in Their Modelling
    Authors: G.S. Tsitsiashvili
    Year: 2024
    Source: Computation

  • Title: Algorithms for Approximating a Function Based on Inaccurate Observations
    Authors: G.S. Tsitsiashvili, M.A. Osipova
    Year: 2024
    Source: Reliability: Theory and Applications

  • Title: Limit Cycles of Length Two in the Rikker Model and Their Application in Fishing
    Authors: G.S. Tsitsiashvili, T.A. Shatilina, M.A. Osipova, T.V. Radchenkova
    Year: 2024
    Citations: 1
    Source: Reliability: Theory and Applications

  • Title: Controlled Queuing Systems with a Stationary Uniform Distribution
    Authors: G.S. Tsitsiashvili, Y.N. Kharchenko
    Year: 2024
    Source: Vestnik Tomskogo Gosudarstvennogo Universiteta – Upravlenie, Vychislitel’naya Tekhnika i Informatika

  • Title: Graph Algorithms for Calculating the Distribution of the Amur Tiger Tracks in Primorsky Krai
    Authors: G.S. Tsitsiashvili, V. Bocharnikov, S.M. Krasnopeyev, M.A. Osipova
    Year: 2024
    Source: Theoretical and Applied Ecology

  • Title: Statistical Evaluation of Input Flow Intensity in the Presence of an Interfering Parameter
    Authors: G.S. Tsitsiashvili
    Year: 2024
    Source: Conference Paper (No source information available)

  • Title: Formation of Large Anomalies in the Thermal Conditions of Waters on the Western and Eastern Shelf of the Sakhalin Island
    Authors: T.A. Shatilina, V.V. Moroz, G.S. Tsitsiashvili, T.V. Radchenkova
    Year: 2024
    Source: Physical Oceanography

  • Title: Fast Method for Estimating the Parameters of Partial Differential Equations from Inaccurate Observations
    Authors: G.S. Tsitsiashvili, A.I. Gudimenko, M.A. Osipova
    Year: 2023
    Source: Mathematics (Open Access)