Adel Wadiyan | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Adel Wadiyan | Applied Mathematics | Best Researcher Award

Associate Professor at Qassim University, Saudi Arabia

Dr. Adel Mefleh O. Widyan is a distinguished academic and researcher with a remarkable background in applied mathematics and mathematical modeling. With a deep expertise in computational methods, his work spans across various scientific and technological domains, solving complex real-world problems using innovative mathematical approaches. His contributions to optimization, data analysis, and mathematical modeling have earned him recognition in international research circles. 🌍📊 Dr. Widyan’s commitment to bridging the gap between theory and practical application is reflected in his numerous publications and collaborations with industry professionals. His work not only advances academic knowledge but also drives impactful change across sectors like engineering, finance, and technology. 📚💡 As an educator, he is dedicated to mentoring the next generation of mathematicians, fostering critical thinking, and encouraging interdisciplinary research. Dr. Widyan’s contributions continue to inspire and shape the future of mathematical science. 🚀🎓

Professional Profile

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Education 🎓📘

Dr. Adel Mefleh O. Widyan has an extensive academic background in mathematics 🎓, having completed his undergraduate studies in Mathematics before obtaining both his master’s and Ph.D. in Applied Mathematics. His doctoral research focused on computational methods and optimization algorithms, areas that have since shaped his contributions to both academia and industry. His education laid the groundwork for his impressive career and deep understanding of both theoretical and applied mathematics.

🏫 Professional Experience

Dr. Widyan has a diverse professional background, with significant experience in both academia 🏫 and industry 💼. Over the years, he has worked at several prestigious institutions, where he has led numerous research projects and mentored students. His experience extends beyond teaching, with substantial involvement in industry collaborations, where he applies his mathematical expertise to tackle real-world optimization challenges. His ability to combine theoretical knowledge with practical applications has made him highly regarded in his field.

🔢 Research Interests

Dr. Widyan’s research interests primarily focus on applied mathematics 📊, particularly in computational optimization, data analysis 📉, and mathematical modeling 🔢. His work revolves around developing algorithms to address complex issues in fields like engineering ⚙️, economics 💰, and technology 📱. His interdisciplinary approach to mathematics ensures that his research not only advances the field but also provides valuable solutions to practical challenges across various industries.

🏆 Awards and Honors

Throughout his career, Dr. Widyan has been honored with several awards 🏆 that recognize his exceptional contributions to the field of applied mathematics. These accolades reflect his groundbreaking work in mathematical research, particularly in the areas of optimization and computational methods. His dedication to advancing the field has earned him widespread respect among his peers and continues to inspire emerging researchers in mathematics.

🌍 Conclusion

Dr. Adel Mefleh O. Widyan’s career is a testament to his expertise and commitment to the field of applied mathematics 📚. Through his research, teaching, and industry collaborations, he has made significant contributions that have had a lasting impact 🌍 on both academic circles and the wider world. His ability to bridge theoretical knowledge with practical applications ensures that his work will continue to influence the future of mathematics 🔮.

Publications Top Notes

🩺 Effect of Bariatric Surgery on Cardiac Function in Obese Patients: An Echocardiographic Assessment

  • Authors: Mansur S. Alqunai, Bandar S. Assakran, Adel M. Widyan, Annie Suresh, …

  • Year: 2022

  • Citations: 3

  • Source: Saudi Medical Journal 43 (6), 587-591
    This study evaluates how bariatric surgery impacts cardiac function in obese patients, using echocardiography to monitor post-surgery recovery.

🔢 Obtaining the Efficient Solutions for Multicriterion Programming Problems with Stochastic Parameters

  • Authors: A Widyan

  • Year: 2016

  • Citations: 3

  • Source: Journal of Qassim University for Science 9 (1), 17-25
    This article delves into stochastic multicriterion programming, focusing on optimal solutions in uncertain decision-making environments.

📈 Determining the Efficient Solutions for Bicriteria Programming Problems with Random Variables in Both the Objective Functions and the Constraints

  • Authors: BI Bayoumi, AA El-Sawy, NL Baseley, IK Yousef, AM Widyan

  • Year: 2005

  • Citations: 3

  • Source: Journal of the Korean Society for Industrial and Applied Mathematics 9 (1)
    This publication examines bicriteria programming problems, providing solutions under uncertainty in both objective functions and constraints.

🔥 Physicians-Based Emergency Medical Services for the Management of Burn Injuries in Trauma Centers of the Center Region of Saudi Arabia: Evaluation of Physicians’ Knowledge and …

  • Authors: HT Alhomaidan, Z Rasheed, MM Alsudais, AM AlMutairi, KA Alzaben, …

  • Year: 2021

  • Citations: 2

  • Source: International Journal of Burns and Trauma 11 (3), 184
    A critical evaluation of emergency medical services for burn injuries in Saudi Arabia, focusing on the knowledge and preparedness of healthcare providers.

⚙️ Decomposition the Parametric Space in Stochastic Multiobjective Programming Problem

  • Authors: AM Widyan

  • Year: 2017

  • Citations: 2

  • Source: Journal of Global Research in Mathematical Archives 4 (2)
    A study on stochastic multiobjective programming, proposing methods for decomposition and efficient solution derivation.

💊 Knowledge, Attitudes, and Practices (KAP) of Medical University Students Towards Vitamin D Deficiency in Saudi Arabia: A Cross-Sectional Study

  • Authors: A Elghazaly, A Widyan, S Alsahali, M Alshammari, M Farooqui, …

  • Year: 2024

  • Citations: 1

  • Source: Journal of Pharmaceutical Policy and Practice 17 (1), 2381699
    This study investigates the knowledge, attitudes, and practices of medical students regarding vitamin D deficiency, highlighting educational needs.

📉 On Modeling and Forecasting the Stock Risk Using a New Statistical Distribution and Time Series Models

  • Authors: HA Lelin Yan, Weihong Zhou, Omalsad Hamood Odhah, Adel M. Widyan, Hamiden …

  • Year: 2025

  • Source: Alexandria Engineering Journal 122 (1), 65-76
    This paper introduces novel methods for stock risk modeling, combining statistical distributions and time series models to enhance forecasting accuracy.

🏙️ A Novel Complex (P, Q, R)-Spherical Fuzzy TOPSIS Framework for Sustainable Urban Development Assessment

  • Authors: M Rahim, SZ Khan, AM Widyan, A Almutairi, HAEW Khalifa

  • Year: 2025

  • Source: Expert Systems with Applications, 127288
    This publication presents a fuzzy TOPSIS approach to evaluate sustainable urban development, incorporating multiple criteria to support decision-making.

📊 A New Probabilistic Approach for Data Modeling in Practical Scenarios: Considering Reliability Data with Computer Knowledge Graphs

  • Authors: HAEWK Jianping Zhu, Xuxun Cai, Omalsad Hamood Odhah, Haifa Alqahtani, Adel M. Widyan

  • Year: 2025

  • Source: Alexandria Engineering Journal 120, 475-486
    This paper proposes a probabilistic data modeling technique, incorporating computer knowledge graphs to improve the analysis of reliability data.

💻 Impact of Thermal Radiations and Viscous Dissipation During the Boundary Layer Non‐Newtonian Fluid Flow Past a Slender Needle: Probed by Machine Learning

  • Authors: H Yao, A Ullah, Ikramullah, AM Widyan, A Althobaiti, HAEW Khalifa

  • Year: 2025

  • Source: ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte …
    This article investigates the effects of thermal radiations and viscous dissipation in non-Newtonian fluid flow, with the aid of machine learning algorithms.

📖 Effects of Ramadan Fasting on the Symptoms of Chronic Heart Failure

  • Authors: RM Abazid, HH Khalaf, HI Sakr, NA Altorbak, HS Alenzi, ZM Awad, …

  • Year: 2018

  • Citations: 48

  • Source: Saudi Medical Journal 39 (4), 395
    This study explores the effects of Ramadan fasting on the symptoms of chronic heart failure, offering insights into cardiovascular health during fasting.

🫀 Relation Between Epicardial Fat and Subclinical Atherosclerosis in Asymptomatic Individuals

  • Authors: RM Abazid, OA Smettei, MO Kattea, S Sayed, H Saqqah, AM Widyan, …

  • Year: 2017

  • Citations: 43

  • Source: Journal of Thoracic Imaging 32 (6), 378-382
    This paper uncovers the relationship between epicardial fat and subclinical atherosclerosis, providing valuable data for early cardiovascular disease prevention.

🥗 Dietary Assessment and Patient-Perspective Reasons for Poor Adherence to Diet and Exercise Post Bariatric Surgery

  • Authors: BS Assakran, AM Widyan, NA Alhumaidan, FA Alharbi, MA Alhnaya, …

  • Year: 2020

  • Citations: 14

  • Source: BMC Research Notes 13, 1-7
    This research assesses bariatric surgery patients’ dietary habits and highlights barriers to maintaining a healthy lifestyle after surgery.

💭 Incidence of Delirium in the Critical Care Unit and Risk Factors in the Central Region, Saudi Arabia

  • Authors: Rami M. Abazid, Shaima A. Al-Harbi, Abdulaziz S. Allihimy, Dawood A, …

  • Year: 2021

  • Citations: 7

  • Source: Saudi Medical Journal 42 (4), 445-448
    This study sheds light on the incidence of delirium in critical care units and identifies risk factors, crucial for improving patient care in intensive settings.

🏠 Public Awareness Regarding Household Drug Storage, Qassim Region, Saudi Arabia: A Cross-Sectional Study

  • Authors: SAM Abir Elghazaly, Ghada Ben Salah, Nada Ibrahim, Saud Alsahali, Adel M. Widyan, …

  • Year: 2023

  • Citations: 4

  • Source: Risk Management and Healthcare Policy 16 (1), 271-277
    The study focuses on household drug storage practices, aiming to raise public awareness about the importance of proper medication management.

🔄 Recurrent Inguinal Hernia Post-Laparoscopic Repair: A Retrospective Single-Center Study in Qassim Region, Saudi Arabia

  • Authors: BS Assakran, AM Widyan, AS Al-lihimy, AA Aljabali, MA Al-Enizi, …

  • Year: 2021

  • Citations: 4

  • Source: The Cureus Journal of Medical Science 13 (3)
    This paper investigates recurrent inguinal hernia following laparoscopic repair, providing critical data for improving surgical outcomes.

📦 Chance Constrained Approach for Treating Multicriterion Inventory Model with Random Variables in the Constraints

  • Authors: AM Widyan

  • Year: 2020

  • Citations: 4

  • Source: Journal of Statistics Applications & Probability 9 (2), 207-213
    A mathematical approach to inventory management, exploring stochastic parameters and their effect on decision-making in supply chain management.

Sabah Kausar | Applied Mathematics | Young Scientist Award

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Dr. Sabah Kausar | Applied Mathematics | Young Scientist Award

University of Gujrat, Pakistan

Dr. Sabah Kausar is a dedicated physicist and researcher specializing in nanomaterials, photocatalysis, and environmental sustainability. With an MPhil in Physics from the University of Gujrat, her research focuses on synthesizing and characterizing advanced nanocomposites for applications in water purification, antimicrobial treatments, and food preservation. She has expertise in XRD, SEM, FTIR, PL, UV-Vis spectroscopy, and EDX, demonstrating a strong technical background. Her publications on Ag-doped BiVO₄ and BiVO₄/ZnO nanocomposites highlight significant advancements in photocatalytic degradation and extended shelf life of fruits. Passionate about interdisciplinary research, Dr. Kausar’s work bridges nanotechnology, environmental science, and material physics. She aspires to expand her contributions through international collaborations, high-impact publications, and practical industrial applications. With a keen focus on sustainability and innovation, she is a promising young scientist making impactful contributions to applied physics and nanotechnology.

Professional Profile 

Education

Dr. Sabah Kausar holds an MPhil in Physics from the University of Gujrat, where she conducted pioneering research on nanomaterials and their photocatalytic and antimicrobial properties. Her thesis focused on the synthesis and characterization of BiVO₄-based nanocomposites for enhancing the shelf life of fruits and environmental remediation. Prior to her MPhil, she earned a BS (Honors) in Physics, where she developed a strong foundation in experimental, numerical, and conceptual physics. Her academic journey has been marked by excellence in material physics, spectroscopy, and nanotechnology applications. Additionally, she is currently pursuing a Bachelor of Education (BEd), reinforcing her ability to contribute to academia. With a solid educational background, she has developed expertise in advanced characterization techniques such as XRD, SEM, FTIR, PL, and UV-Vis spectroscopy, which are essential for analyzing the structural, optical, and morphological properties of nanomaterials.

Professional Experience

Dr. Sabah Kausar is an emerging scientist with expertise in photocatalytic nanomaterials, environmental physics, and material characterization. During her MPhil research, she synthesized and tested Ag-doped BiVO₄ and BiVO₄/ZnO nanocomposites to improve photocatalytic activity and antimicrobial performance. Her research has practical implications in water purification, environmental remediation, and food preservation. She has collaborated with interdisciplinary teams to analyze nanoparticle efficiency using XRD, SEM, FTIR, and UV-Vis spectroscopy. She has also contributed to scientific literature through high-impact publications focusing on nanotechnology-based solutions for sustainability. As a physicist, she excels in team collaboration, research execution, and analytical problem-solving. Beyond research, her pursuit of a BEd degree equips her with academic and teaching skills, enhancing her ability to mentor and educate future scientists. With a passion for advancing nanomaterials for environmental and biomedical applications, she is poised to make significant contributions to applied physics and sustainable technology.

Research Interest

Dr. Sabah Kausar’s research interests lie in nanotechnology, photocatalysis, environmental sustainability, and antimicrobial nanomaterials. She focuses on synthesizing and characterizing functional nanocomposites for applications in water purification, energy harvesting, and food preservation. Her expertise extends to advanced material characterization techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), photoluminescence spectroscopy (PL), and UV-Vis analysis, which she employs to explore optical, structural, and chemical properties of materials. She is particularly interested in the development of eco-friendly nanomaterials to combat water pollution and food spoilage. Her work on TiO₂/BiVO₄ nanocomposites for dye and antibiotic degradation has demonstrated significant potential for environmental applications. Additionally, she is keen on interdisciplinary research collaborations to bridge the gap between material science, environmental physics, and biomedicine. With a strong foundation in experimental physics and nanotechnology, she aspires to contribute to cutting-edge advancements in sustainable science and clean energy.

Awards and Honors

Dr. Sabah Kausar has earned recognition for her innovative contributions to nanotechnology and environmental sustainability. Her MPhil research on BiVO₄-based nanomaterials has been widely acknowledged for its practical implications in photocatalysis, antimicrobial applications, and food preservation. She has presented her work at national and international awards, showcasing her expertise in material characterization and sustainable nanotechnology. Additionally, her high-impact publications in peer-reviewed journals reflect her strong research capabilities and commitment to scientific advancement. Her ability to bridge physics, chemistry, and environmental science has positioned her as a promising researcher. As she continues to develop innovative nanomaterials for real-world applications, she remains committed to academic excellence and collaborative research projects. With her growing contributions to scientific knowledge and sustainability-focused solutions, she is a strong candidate for Young Scientist Awards and similar recognitions in the fields of nanotechnology, applied physics, and environmental research.

Conclusion

Dr. Sabah Kausar is a rising physicist and nanotechnology researcher committed to solving environmental and sustainability challenges through innovative material science. With a strong academic background, hands-on research experience, and a passion for applied physics, she has contributed to the development of photocatalytic and antimicrobial nanomaterials. Her work has significant implications for clean energy, water purification, and food preservation, demonstrating the power of interdisciplinary scientific advancements. As a young scientist, she continues to explore new frontiers in nanotechnology, with a focus on sustainable applications. Her ability to integrate material characterization, experimental physics, and environmental research makes her a promising scientific leader. With continued collaborations, high-impact research, and academic contributions, she is well-positioned to make lasting contributions in physics, nanotechnology, and sustainability science.

Publications Top Noted

 

Halima Bensmail | Applied Mathematics | Best Researcher Award

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

Principal scientist at Qatar Computing Research Institute, Qatar

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

Professional Profile 

Google Scholar
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Education

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

Professional Experience

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

Research Interests

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

Awards and Honors

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

Conclusion

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

Publications Top Noted

 

Aviv Gibali | Applied Mathematics | Best Researcher Award

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Prof. Aviv Gibali | Applied Mathematics | Best Researcher Award

Researcher at Holon Institute of Technology, Israel

Dr. Aviv Gibali is a distinguished mathematician and researcher specializing in applied mathematics, optimization, and variational inequalities. He holds a Ph.D. from the Technion – Israel Institute of Technology and has completed postdoctoral studies at the Fraunhofer Institute for Industrial Mathematics in Germany. Currently serving as the Head of the Department of Applied Mathematics at HIT – Holon Institute of Technology, he has previously held leadership roles at ORT Braude College of Engineering. Dr. Gibali has made significant contributions through numerous scholarly publications, award presentations, and editorial positions in prestigious journals. His expertise spans optimization algorithms, superiorization techniques, and mathematical modeling with applications in science and engineering. Actively engaged in international collaborations and academic committees, he has also received multiple awards for his impactful research. His dedication to advancing mathematical methodologies and their real-world applications establishes him as a leading figure in the field.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Aviv Gibali holds a strong academic background in mathematics, with degrees from prestigious institutions. He earned his Ph.D. in Mathematics from the Technion – Israel Institute of Technology in 2012, where his doctoral research focused on algorithms for solving variational inequalities and their applications under the supervision of Prof. Simeon Reich and Prof. Yair Censor. Prior to that, he completed his M.Sc. in Mathematics at the University of Haifa in 2008, working on iterative algorithms for solving variational inequality problems under the guidance of Prof. Yair Censor. His academic journey began with a B.Sc. in Mathematics from the University of Haifa in 2005. Following his Ph.D., Dr. Gibali pursued postdoctoral research in optimization at the Fraunhofer Institute for Industrial Mathematics (ITWM) in Kaiserslautern, Germany, from 2012 to 2014. His educational foundation has equipped him with deep expertise in mathematical modeling, optimization, and computational algorithms.

Professional Experience

Dr. Aviv Gibali is an accomplished mathematician and researcher specializing in optimization, variational inequalities, and applied mathematics. He currently serves as the Head of the Department of Applied Mathematics at HIT – Holon Institute of Technology and holds the rank of Associate Professor. Previously, he was an Associate Professor and Head of the Mathematics Department at ORT Braude College of Engineering. Dr. Gibali completed his Ph.D. at The Technion – Israel Institute of Technology and pursued postdoctoral research at the Fraunhofer Institute for Industrial Mathematics in Germany. His extensive academic contributions include serving as an associate editor for multiple prestigious journals, organizing international awards, and collaborating with leading institutions worldwide. With numerous invited talks, scientific visits, and interdisciplinary research projects, he has significantly advanced the field of mathematical optimization. His expertise spans theoretical advancements and industrial applications, earning him multiple awards and recognition in applied and computational mathematics.

Research Interest

Dr. Aviv Gibali’s research interests lie at the intersection of applied mathematics, optimization, and computational methods, with a strong focus on projection algorithms, variational inequalities, and convex feasibility problems. His work spans both theoretical advancements and real-world applications, particularly in industrial mathematics, medical imaging, radiation therapy planning, and data science. He has made significant contributions to superiorization techniques, an innovative approach to improving iterative algorithms for constrained optimization problems. Dr. Gibali is also actively engaged in developing and analyzing numerical algorithms for large-scale optimization, leveraging mathematical modeling to solve complex problems in engineering, machine learning, and healthcare. His interdisciplinary collaborations with international research institutions and industry partners enhance the practical impact of his studies. With a keen interest in mathematical education, he also contributes to innovative pedagogical methods, fostering a new generation of researchers in applied and computational mathematics.

Award and Honor

Dr. Aviv Gibali, a distinguished mathematician and researcher, has been widely recognized for his outstanding contributions to applied mathematics and optimization. He has received numerous accolades, including the prestigious Fourth Most Cited Article Award from Optimization Methods and Software in 2021, highlighting the impact of his research. In 2020, he secured First Prize in the Hackathon on Free Writing Home Exams, organized by Tel-Aviv University and Shenkar, demonstrating his innovative approach to education. His scholarly excellence has also been acknowledged through esteemed fellowships such as the Mathematics for Industry Network’s Short-Term Scientific Mission (2018) in Germany and the Austria-Israel Academic Network Innsbruck (AIANI) Fellowship (2017). With an extensive academic career, editorial roles in leading journals, and significant contributions to industrial mathematics, Dr. Gibali’s work continues to shape the field, earning him widespread recognition and respect within the global mathematical community.

Conclusion

Dr. Aviv Gibali is a distinguished researcher in applied mathematics, with a prolific academic career spanning optimization, variational inequalities, and superiorization techniques. His extensive contributions include over a decade of impactful research, international collaborations, editorial roles in leading mathematical journals, and leadership positions in academia. As an associate professor and head of the Department of Applied Mathematics at HIT – Holon Institute of Technology, Dr. Gibali has played a pivotal role in advancing mathematical research and fostering industry-academic partnerships. His numerous scientific visits, award organizations, and editorial engagements reflect his dedication to global knowledge dissemination. Recognized with prestigious awards and citations, he has demonstrated excellence in both theoretical advancements and real-world applications. While his achievements are remarkable, continued exploration of interdisciplinary applications and mentorship initiatives could further enhance his academic influence. Dr. Gibali’s scholarly impact and leadership make him a highly deserving candidate for the Best Researcher Award.

Publications Top Noted

  • Multidimensional Evolution Effects on Non-Cooperative Strategic Games
    Authors: Shipra Singh, Aviv Gibali, Simeon Reich
    Year: 2024
    Source: Mathematics
  • Resolvent-Free Method for Solving Monotone Inclusions
    Authors: Yan Tang, Aviv Gibali
    Year: 2023
    Source: Axioms
  • Special Issue “Symmetry in Optimization and Control with Real-World Applications”
    Authors: Kok Lay Teo, Aviv Gibali, Yong Wu
    Year: 2022
    Source: Symmetry
  • New Self-Adaptive Inertial-Like Proximal Point Methods for the Split Common Null Point Problem
    Authors: Yan Tang, Yeyu Zhang, Aviv Gibali
    Year: 2021
    Source: Symmetry
  • Multi-Time Generalized Nash Equilibria with Dynamic Flow Applications
    Authors: Shipra Singh, Aviv Gibali, Simeon Reich
    Year: 2021
    Source: Mathematics
  • An Analytic and Numerical Investigation of a Differential Game
    Authors: Aviv Gibali, Oleg Kelis
    Year: 2021
    Source: Axioms
  • Projected-Reflected Subgradient-Extragradient Method and Its Real-World Applications
    Authors: Aviv Gibali, O.S. Iyiola, Lanre Akinyemi, Yekini
    Year: 2021
    Source: Symmetry
  • A Symmetric FBF Method for Solving Monotone Inclusions
    Authors: Aviv Gibali, Yekini
    Year: 2020
    Source: Symmetry
  • Inertial Krasnoselskii–Mann Method in Banach Spaces
    Authors: Yekini Shehu, Aviv Gibali
    Year: 2020
    Source: Mathematics

 

Navneet Kumar Lamba | Applied Mathematics | Best Researcher Award | 2055

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Assist. Prof. Dr. Navneet Kumar Lamba | Applied Mathematics | Best Researcher Award

 Assistant Professor at Shri Lemdeo Patil Mahavidyalaya, Mandhal India

Dr. Navneet Kumar Lamba is an accomplished mathematician and researcher, currently serving as an Assistant Professor in the Department of Mathematics at Shri Lemdeo Patil Mahavidyalaya, Mandhal. With over 13 years of teaching and research experience, he specializes in Operations Research, Mathematical Modeling, Optimization Problems, and Solid Mechanics. He has published 60 research papers in peer-reviewed, Scopus, and Web of Science journals, authored 9 books, and contributed 3 book chapters. His research on infectious disease modeling, particularly COVID-19, has been widely recognized. He has received prestigious accolades, including the Research Excellence Award-2021 (UK) and multiple Best Paper Awards. Dr. Lamba has successfully supervised Ph.D. scholars and plays a key role in various academic committees. An active member of multiple professional bodies, he has also organized national awards. His commitment to research and academia makes him a distinguished scholar in the field of Computational Mathematics.

Professional Profile 

Scopus Profile
ORCID Profile 

Education

Dr. Navneet Kumar Lamba holds a Ph.D. in Mathematics from R.T.M. Nagpur University, awarded in 2013, demonstrating his expertise in advanced mathematical research. He earned his Master of Science (M.Sc.) in Mathematics from the same university in 2007, securing the 3rd Merit position at the university level with an impressive 67.7%. His Bachelor of Science (B.Sc.) degree, with a focus on Physics, Chemistry, and Mathematics, was completed at D.A.V. College, Jalandhar, under Guru Nanak Dev University, Amritsar, in 2005 with 63.5% (First Division). His early education includes Higher Secondary (XII) from St. Thomas School, Jalandhar (CBSE, New Delhi), where he scored 60.5%, and Secondary Education (X) from Bright Buds School, Jaipur (Rajasthan Board) with 59.33%. His strong academic foundation, coupled with continuous research and teaching excellence, has contributed significantly to his standing as a distinguished mathematician and educator.

Professional Experience

Dr. Navneet Kumar Lamba is a distinguished academician and researcher with over 13 years and 2 months of experience in teaching and research. Currently serving as an Assistant Professor and Head of the Department of Mathematics at Shri Lemdeo Patil Mahavidyalaya, Mandhal, he has made significant contributions to the fields of Operations Research, Mathematical Modeling, and Solid Mechanics. His professional journey includes teaching positions at Dronacharya College of Engineering, Gurugram, Priyadarshini Institute of Engineering & Technology, Nagpur, and Nagarjuna Institute of Engineering, Technology, and Management, Nagpur. He has guided Ph.D. scholars, authored 9 books and 60+ research papers, and actively participates in academic leadership roles such as IQAC Cell, Research & Development Cell, and Teacher Guardian Scheme. His work has earned him multiple accolades, including the Research Excellence Award-2021 and Best Paper Awards (2021, 2023), solidifying his reputation as a leading researcher in applied mathematics.

Research Interest

Dr. Navneet Kumar Lamba’s research interests span a broad spectrum of fundamental and applied mathematics, focusing primarily on Operations Research, Mathematical Modeling, Optimization Problems, and Solid Mechanics. His work in linear programming and algorithmic methodologies has contributed to developing efficient problem-solving techniques. He has also made significant strides in boundary value problems, applied modeling of infectious diseases, and thermal stress analysis in solid mechanics, particularly in studying memory-dependent thermoelastic responses. His recent research delves into the fractional-order heat conduction models, hygrothermal effects in materials, and thermosensitive structures. Additionally, Dr. Lamba has explored the mathematical modeling of COVID-19 transmission dynamics, providing valuable insights into epidemiological trends. With over 60 research publications in Scopus, Web of Science, and UGC Care-listed journals, his work continues to impact both theoretical and applied aspects of mathematics. His research aims to bridge gaps between mathematical theory and real-world applications, fostering innovation and problem-solving in diverse domains.

Award and Honor

Dr. Navneet Kumar Lamba has been recognized for his outstanding contributions to research and academia with several prestigious awards and honors. He received the Research Excellence Award-2021 from the National Health Service England (UK) and Chintamani Mahavidyalaya, acknowledging his significant research in mathematics and its applications. His exceptional scholarly work has also earned him Best Paper Awards in 2021 and 2023 at the International Conference on Advancement in Science, Technology, and Management. With a distinguished academic career spanning over 13 years, Dr. Lamba has authored 60 research papers in reputed peer-reviewed journals, 9 books, and 3 book chapters, further cementing his position as a leading researcher in mathematics. Additionally, he has guided Ph.D. scholars, actively participated in national and international awards, and contributed to institutional development through key academic committees. His dedication to mathematical research, teaching, and mentorship has earned him widespread recognition in the academic community.

Conclusion

Dr. Navneet Kumar Lamba is a distinguished academician and researcher with over 13 years of experience in mathematics, specializing in operations research, mathematical modeling, and optimization problems. His impressive portfolio includes 60 peer-reviewed research papers, 9 authored books, and multiple accolades such as the Research Excellence Award-2021 and Best Paper Awards in 2021 and 2023. As an Assistant Professor and Head of Department, he has contributed significantly to academia through research supervision, professional memberships, and leadership roles in various academic committees. His work on infectious disease modeling, particularly COVID-19, highlights his commitment to applied research. While his contributions are exemplary, further enhancements in citation impact, global collaborations, and research grants would strengthen his research influence. Overall, Dr. Lamba’s dedication to research, teaching, and academic leadership makes him a strong contender for the Best Researcher Award, recognizing his invaluable contributions to mathematics and scientific advancements.

Publications Top Noted

  • A Sustainable Inventory Model with Advertisement Effort for Imperfect Quality Items under Learning in Fuzzy Monsoon Demand
    • Authors: Alamri, O.A.; Lamba, N.K.; Jayaswal, M.K.; Mittal, M.
    • Year: 2024
  • Memory Dependent Response in an Infinitely Long Thermoelastic Solid Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2024
  • Quasi-static Thermal Response of a Circular Plate due to the Influence of Memory-dependent Derivatives
    • Authors: Lamba, N.K.
    • Year: 2024
  • Thermal Characteristics of a Multilayered Annular Disk with Thermosensitive Features using a Fractional-order Heat Conduction Model
    • Authors: Lamba, N.K.; Manthena, V.R.; Bhad, P.P.; Srinivas, V.B.; Abouelregal, A.E.
    • Year: 2024
  • Thermal Stresses Associated with a Thermosensitive Multilayered Disc Analysed Due to Point Heating
    • Authors: Srinivas, V.B.; Manthena, V.R.; Warbhe, S.D.; Kedar, G.D.; Lamba, N.K.
    • Year: 2024
  • Memory-based Thermoelastic Modelling of an Annular Disc under Heating and Cooling Processes
    • Authors: Lamba, N.K.; Varhadpande, I.; Murty, V.R.K.
    • Year: 2024
  • Impact of Memory-dependent Response of a Thermoelastic Thick Solid Cylinder
    • Authors: Lamba, N.K.
    • Year: 2023
  • Hygrothermoelastic Response of a Finite Hollow Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2022
  • Memory Impact of Hygrothermal Effect in a Hollow Cylinder by Theory of Uncoupled-Coupled Heat and Moisture
    • Authors: Verma, J.; Lamba, N.K.; Deshmukh, K.C.
    • Year: 2022
  • Thermosensitive Response of a Functionally Graded Cylinder with Fractional Order Derivative
    • Authors: Lamba, N.K.
    • Year: 2022
  • A Comparative Study of COVID-19 Pandemic in Rajasthan, India
    • Authors: Jayaswal, M.K.; Lamba, N.K.; Yadav, R.; Mittal, M.
    • Year: 2021
  • Impact of COVID-19: A Mathematical Model
    • Authors: Warbhe, S.D.; Lamba, N.K.; Deshmukh, K.C.
    • Year: 2021
  • Mathematical Modelling of COVID-19 in Pregnant Women and Newly Borns
    • Authors: Lamba, N.K.; Warbhe, S.D.; Deshmukh, K.C.
    • Year: 2021
  • Hygrothermoelastic Response of a Finite Solid Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2020
  • Thermal Behavior of a Finite Hollow Cylinder in Context of Fractional Thermoelasticity with Convection Boundary Conditions
    • Authors: Kumar, N.; Kamdi, D.B.
    • Year: 2020