Muhammad Nasir Abrar | Mathematics | Best Researcher Award

Posted on 08/10/202408/10/2024 by Shen Awards

Muhammad Nasir Abrar | Mathematics | Best Researcher Award

Dr Muhammad Nasir Abrar, National University of Sciences and Technology, Pakistan

Dr. Muhammad Nasir Abrar, here’s a structured format that highlights his qualifications, achievements, and contributions suitable for the Best Researcher Award

Publication Profile👤

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Current Position

Assistant Professor, Department of Civil Engineering, National University of Sciences and Technology (September 2021 – Present).

Dr. Abrar is a distinguished academic with extensive experience in teaching and research. His current role as an Assistant Professor at NUST allows him to influence the next generation of civil engineers through courses such as Fluid Dynamics and Numerical Methods.

Previous Experience

Assistant Professor (Visiting Faculty), Department of Software Engineering, COMSATS University, Islamabad (January 2021 – August 2021).
Lecturer, Department of Mathematics, Capital University of Science and Technology (November 2017 – November 2020).
Deputy-Director, Quality Enhancement Cell, NUST (October 2021 – September 2022).

Dr. Abrar has actively participated in various academic administrative roles, contributing to the quality enhancement of educational programs.

Educational Background

PhD in Mathematics, Capital University of Science and Technology (2014 – 2020).
Thesis: Entropy Generation Analysis of Peristalsis Fluid Models.
MPhil in Mathematics, COMSATS Institute of Information Technology (2012 – 2014).
Thesis: Heat Generation and Absorption in a Non-Newtonian Nanofluid.

Dr. Abrar’s strong foundation in mathematics complements his research in engineering, positioning him uniquely at the intersection of both fields.

Research Directions

Dr. Abrar specializes in various research areas, including:

Dusty Flows
Ternary Nanofluid
Second Law Analysis of Thermodynamics
Newtonian and Non-Newtonian Fluid Models

His contributions in these areas are pivotal for advancing knowledge in fluid mechanics and thermodynamics.

Professional Contributions

Dr. Abrar serves as an ISI Journal Reviewer for multiple reputable journals, including Acta Mechanica and Physics Letter B, ensuring the quality and integrity of published research in his field.

Conclusion

Dr. Muhammad Nasir Abrar’s diverse experience, robust educational background, impactful research contributions, and commitment to academic excellence make him a strong candidate for the Best Researcher Award.

Okechukwu Obulezi | Mathematics | Best Researcher Award

Posted on 30/09/202430/09/2024 by Shen Awards

Dr. Okechukwu Obulezi | Mathematics | Best Researcher Award

Lecturer at Nnamdi Azikiwe University, Awka, Nigeria.

Okechukwu Jeremiah Obulezi, M.Sc., is a dedicated academic and researcher specializing in Probability Distributions and Machine Learning Models, with applications in survival analysis, competing risks, and acceptance sampling. He is currently a Lecturer I in the Statistics Department at Nnamdi Azikiwe University, Awka, Nigeria, where he has progressed through various academic roles since 2019. Obulezi holds a Master’s degree in Statistics from the same institution and is pursuing a Ph.D. in the same field. His research contributions include multiple published journal articles, focusing on topics such as statistical modeling and estimation techniques. He actively participates in academic leadership roles, serving as a reviewer for several reputable journals. Obulezi is also involved in student advising and departmental coordination, reflecting his commitment to both teaching and research excellence. His expertise positions him as a strong candidate for recognition in the Best Researcher Award.

Profile:

Scopus Profile

Education

Okechukwu Jeremiah Obulezi holds a robust educational background in statistics, anchored by his ongoing Ph.D. studies at Nnamdi Azikiwe University, where he focuses on advancing statistical methodologies. He earned his Master of Science (M.Sc) in Statistics from the same institution in 2016, with a thesis titled “BIC-Based Relative Influence Measure for Outlier Detection and Variable Selection in Regression Analysis.” Before this, he completed a Postgraduate Diploma (PGD) in Statistics at Nnamdi Azikiwe University in 2012, exploring “Discriminant Analysis of the Nigerian Fixed Assets.” His foundational education includes a Higher National Diploma (HND) in Statistics from Abia State Polytechnic, where he conducted a project on “Discriminant Analysis of the Performance of Secondary School Students.” Obulezi’s academic journey illustrates a consistent commitment to mastering statistical concepts and their practical applications, establishing a strong foundation for his research and teaching endeavors.

Professional Experiences

Okechukwu Jeremiah Obulezi, M.Sc., is a dedicated academic with a robust professional background in statistics. Currently serving as a Lecturer I in the Statistics Department at Nnamdi Azikiwe University, Awka, Nigeria, he has progressed through various academic roles, including Lecturer II and Assistant Lecturer since 2019. Prior to this, he contributed to Abia State Polytechnic, where he served as a Senior Instructor and Instructor I in the Statistics Department from 2011 to 2019. Okechukwu’s responsibilities at Nnamdi Azikiwe University encompass teaching courses such as Biostatistics and Statistical Applications, along with mentoring undergraduate students as their level adviser. He actively participates in various academic committees, including the University Water Board Committee and the Faculty ICT Committee, showcasing his commitment to enhancing the academic environment. His continuous engagement in research and peer review further highlights his dedication to advancing statistical knowledge and education.

Research Interests

Okechukwu Jeremiah Obulezi, M.Sc, has a strong research focus on probability distributions and machine learning models, particularly their applications in survival analysis, competing risks, acceptance sampling, optimum sampling, and handling masked data and censoring schemes. His work is characterized by the integration of statistical theory and practical applications, aiming to enhance the reliability and efficiency of statistical models in real-world scenarios. With an emphasis on optimizing models for financial volatility and developing new statistical distributions, Obulezi’s research contributes significantly to the fields of statistics and data science. His expertise also extends to biostatistics and various statistical methodologies, positioning him as a key figure in advancing innovative approaches within the statistical community. Through his academic endeavors, he strives to address complex challenges in statistical modeling, ultimately benefiting both academic research and industry applications.

Research skills

Okechukwu Jeremiah Obulezi possesses a robust skill set that enhances his research capabilities, particularly in the fields of statistics and machine learning. His expertise in probability distributions and their applications to survival analysis, competing risks, and acceptance sampling underscores his strong analytical skills. Obulezi has demonstrated proficiency in developing and optimizing statistical models, as evident in his published work on GARCH models for financial volatility. His experience in handling complex data sets, including those with missing data and censoring schemes, reflects his adeptness in statistical programming and data analysis. Furthermore, his involvement as a reviewer for various reputable journals showcases his critical thinking and attention to detail. Obulezi’s commitment to continuous learning is evidenced by his ongoing Ph.D. studies, further solidifying his position as a knowledgeable and skilled researcher in his field. Overall, his combination of technical skills and practical experience positions him well for impactful contributions to academic research.

Award And Recognition

Okechukwu Jeremiah Obulezi has made significant contributions to the field of statistics, particularly in probability distributions and machine learning models, earning recognition for his innovative research and teaching excellence. His publications in esteemed journals, such as the Alexandria Engineering Journal and Scientific African, highlight his expertise in survival analysis and acceptance sampling. As a reviewer for several reputable academic journals, he actively contributes to the scientific community by ensuring the quality and integrity of published research. His commitment to academic leadership is evident through his roles as a seminar coordinator and undergraduate advisor at Nnamdi Azikiwe University, where he fosters student development. Furthermore, his ongoing Ph.D. studies and participation in various research committees exemplify his dedication to advancing statistical methodologies and applications, making him a commendable candidate for the Best Researcher Award.

Conclusion

Okechukwu Jeremiah Obulezi is a strong candidate for the Best Researcher Award due to his diverse research interests, extensive publication record, and dedication to teaching and academic leadership. While there are opportunities for growth, such as enhancing collaboration networks and securing research funding, his commitment to advancing statistical knowledge and mentoring future statisticians positions him as a valuable asset to the academic community. Awarding him this honor would recognize his contributions and motivate further excellence in his ongoing research endeavors.

Publication Top Notes

Sine generalized family of distributions: Properties, estimation, simulations and applications
- Authors: Oramulu, D.O., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
- Year: 2024
- Journal: Alexandria Engineering Journal
- Volume/Issue/Page: 109, pp. 532–552
A more flexible Lomax distribution: Characterization, estimation, group acceptance sampling plan and applications
- Authors: Ekemezie, D.-F.N., Alghamdi, F.M., Aljohani, H.M., El-Raouf, M.M.A., Obulezi, O.J.
- Year: 2024
- Journal: Alexandria Engineering Journal
- Volume/Issue/Page: 109, pp. 520–531
Group acceptance sampling plan based on truncated life tests for Type-I heavy-tailed Rayleigh distribution
- Authors: Nwankwo, M.P., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
- Year: 2024
- Journal: Heliyon
- Volume/Issue/Page: 10(19), e38150
Group acceptance sampling plans for type-I heavy-tailed exponential distribution based on truncated life tests
- Authors: Nwankwo, B.C., Obiora-Ilouno, H.O., Almulhim, F.A., SidAhmed Mustafa, M., Obulezi, O.J.
- Year: 2024
- Journal: AIP Advances
- Volume/Issue/Page: 14(3), 035310
New Lifetime Distribution with Applications to Single Acceptance Sampling Plan and Scenarios of Increasing Hazard Rates
- Authors: Chinedu, E.Q., Chukwudum, Q.C., Alsadat, N., Almetwally, E.M., Tolba, A.H.
- Year: 2023
- Journal: Symmetry
- Volume/Issue/Page: 15(10), 1881
A New Distribution for Modeling Data with Increasing Hazard Rate: A Case of COVID-19 Pandemic and Vinyl Chloride Data
- Authors: Tolba, A.H., Onyekwere, C.K., El-Saeed, A.R., Alohali, H., Obulezi, O.J.
- Year: 2023
- Journal: Sustainability (Switzerland)
- Volume/Issue/Page: 15(17), 12782

Domenico Russo | Hematology | Best Researcher Award

Posted on 25/09/202425/09/2024 by Shen Awards

Prof Dr. Domenico Russo | Hematology | Best Researcher Award

Full Professor of Haematology, Head of Chair of Haematology, and Director of Unit Blood Diseases and Bone Marrow Transplantation at Department of Clinical and Experimental Sciences, University of Brescia; Department of Oncology, ASST-Spedali Civili of Brescia, Italy

Prof. Dr. Domenico Russo is a distinguished haematologist currently serving as a Full Professor and Head of the Chair of Haematology in the Department of Clinical and Experimental Sciences at the University of Brescia. He also holds the position of Director of the Blood Diseases and Bone Marrow Transplantation Unit at ASST-Spedali Civili of Brescia. With an M.D. from the University of Bologna and extensive training in haematology, Dr. Russo has contributed significantly to the field, authoring over 500 peer-reviewed scientific articles. His research focuses on chronic myeloid leukaemia, acute leukaemias, and CAR-T cell therapy, among other areas. A prominent figure in academia and clinical practice, he has played vital roles in various research councils and has coordinated numerous PhD programs. His leadership and innovative research have earned him recognition as a leading expert in haematology and oncology.

Profile:

Scopus Profile

Education

Prof. Dr. Domenico Russo obtained his Medical Degree (M.D.) from the University of Bologna in 1982. He completed his Residency Training in Haematology in 1985, followed by postdoctoral research at the Institute of Haematology “L. e A. Seràgnoli” at Bologna University in 1989. His commitment to advancing his expertise in the field led him to pursue further research as a Research Fellow at the Laboratory of Cellular Kinetics at the Hotel Dieu Hospital in Paris from 1991 to 1993. These educational experiences have provided him with a robust foundation in haematology and clinical research, enabling him to excel in his academic and professional endeavors.

Professional Experiences

Prof. Dr. Domenico Russo has a rich and varied professional background in haematology and oncology. Currently, he serves as a Full Professor and Head of the Chair of Haematology at the University of Brescia, where he has been a faculty member since 2001. He also leads the Blood Diseases and Bone Marrow Transplantation Unit at ASST-Spedali Civili of Brescia, a role he has held since 2004. His previous positions include Assistant Professor at the University of Udine and Associate Professor at the University of Brescia. Additionally, Dr. Russo has served as Director of the Fellowship School of Haematology from 2004 to 2023 and has been instrumental in the coordination of the PhD in Artificial Intelligence in Medicine and Innovation in Clinical Research and Methodology since 2020. He has also been actively involved in various research councils, including the Italian Cooperative Study Group on Chronic Myeloid Leukaemia. Over the years, he has directed numerous clinical trials and research projects, significantly impacting the understanding and treatment of haematological diseases.

Research Interests

Prof. Dr. Domenico Russo’s research interests are primarily focused on haematology, particularly in the areas of chronic myeloid leukaemia and acute leukaemias. His work extensively explores the mechanisms of multidrug resistance and the development of novel antitumor drugs. He is also deeply involved in translational molecular biology and genomics, aiming to enhance the understanding of acute and chronic leukaemias. Additionally, Dr. Russo is interested in the advancements of CAR-T cell therapy and regenerative medicine, with a keen focus on improving patient outcomes through innovative therapies. With over 30 years of experience, he has been the principal investigator in numerous national and international research projects, contributing significantly to the field of onco-haematological diseases and advancing therapeutic strategies for patients.

Research skills

Prof. Dr. Domenico Russo possesses a diverse and robust skill set that enhances his contributions to haematology and oncology research. His expertise includes advanced methodologies in cellular kinetics and molecular biology, enabling him to investigate the mechanisms underlying leukaemia and treatment resistance. Dr. Russo is skilled in designing and conducting clinical trials, having led over 60 trials in the past decade, which reflects his proficiency in translating research findings into clinical applications. Additionally, he is adept at coordinating multi-disciplinary research teams, managing budgets, and overseeing complex projects in national and international contexts. His strong analytical skills are complemented by his ability to effectively communicate research findings through numerous peer-reviewed publications and conference presentations, making him a pivotal figure in advancing the field of haematological research.

Award And Recoginition

Prof. Dr. Domenico Russo has received numerous accolades throughout his distinguished career in haematology and oncology. His contributions to the field have been recognized through various awards, reflecting his commitment to advancing cancer research and patient care. Notably, he has been honored for his leadership in the Italian Society of Experimental Haematology, serving as General Secretary and Advisor, which highlights his influence in shaping research agendas and promoting collaboration among scientists. His significant bibliometric achievements, including over 500 peer-reviewed publications and an impressive H-Index, underscore his impact on the scientific community. Furthermore, Dr. Russo’s leadership in clinical trials and research projects funded by national and international bodies showcases his role in pioneering innovative therapies for haematological diseases. His recognition extends to invitations as a speaker and contributor at major conferences, where he shares his expertise and insights with peers, further solidifying his status as a leading researcher in the field.

Conclusion

Given his extensive qualifications, impactful research contributions, and dedication to both teaching and patient care, Prof. Dr. Domenico Russo stands out as a highly deserving candidate for the Best Researcher Award. His career exemplifies a profound commitment to advancing the field of haematology through rigorous research, innovative therapies, and the education of future medical professionals.

Publication Top Notes

Busulfan-fludarabine versus busulfan-cyclophosphamide for allogeneic transplant in acute myeloid leukemia: long-term analysis of GITMO AML-R2 trial
- Authors: Cavallaro, G., Grassi, A., Pavoni, C., Bacigalupo, A., Rambaldi, A.
- Year: 2024
- Citations: 0
A Multicenter Real-life Prospective Study of Axicabtagene Ciloleucel versus Tisagenlecleucel Toxicity and Outcomes in Large B-cell Lymphomas
- Authors: Stella, F., Chiappella, A., Casadei, B., Miceli, R., Corradini, P.
- Year: 2024
- Citations: 0
In Vitro Biocompatibility Assessment of Bioengineered PLA-Hydrogel Core–Shell Scaffolds with Mesenchymal Stromal Cells for Bone Regeneration
- Authors: Re, F., Sartore, L., Pasini, C., Farina, M., Russo, D.
- Year: 2024
- Citations: 0
BCR::ABL1 digital PCR for treatment-free remission prediction in chronic myeloid leukemia patients: An individual participant data meta-analysis
- Authors: Kockerols, C., Valk, P.J.M., Dulucq, S., Cornelissen, J.J., Westerweel, P.E.
- Year: 2024
- Citations: 0
Gelatin-Based Scaffolds with Carrageenan and Chitosan for Soft Tissue Regeneration
- Authors: Pasini, C., Re, F., Trenta, F., Russo, D., Sartore, L.
- Year: 2024
- Citations: 0
Evaluation of Circulating Endothelial Cells as Direct Marker of Endothelial Damage in Allo-Transplant Recipients at High Risk of Hepatic Veno-Occlusive Disease/Sinusoidal Obstruction Syndrome
- Authors: Farina, M., Scaini, M.C., Facchinetti, A., Poggiana, C., Russo, D.
- Year: 2024
- Citations: 0
Nutritional Strategies To Improve VRE Control
- Authors: Morello, E., Roversi, S., Brambilla, G., Caruso, A., Russo, D.
- Year: 2024
- Citations: 0
Impact of comorbidities and body mass index on the outcomes of allogeneic hematopoietic cell transplantation in myelofibrosis: A study on behalf of the Chronic Malignancies Working Party of EBMT
- Authors: Polverelli, N., Bonneville, E.F., de Wreede, L.C., Hernández-Boluda, J.C., McLornan, D.P.
- Year: 2024
- Citations: 4

Muhammad Yousaf | Mathematics | Best Scholar Award

Posted on 25/09/202425/09/2024 by Shen Awards

Dr. Muhammad Yousaf | Mathematics | Best Scholar Award

Lecturer at University of the Punjab lahore, Pakistan.

Dr. Muhammad Yousaf is an accomplished scholar currently pursuing a Ph.D. in Mathematics at the University of the Punjab, Pakistan. His research focuses on celestial objects and modified gravitational theories, with a strong emphasis on mathematical methods in astrophysics and cosmology. Throughout his academic career, Dr. Yousaf has demonstrated excellence, earning a CGPA of 3.73/4.00 in his Ph.D. coursework and 3.47/4.00 in his M.Phil. He has co-authored several impactful research papers published in reputable journals, including Physics of the Dark Universe and the International Journal of Theoretical Physics. His academic interests encompass geometry, general relativity, electromagnetic theory, and mathematical physics. Alongside his research, Dr. Yousaf has contributed to departmental activities and has been honored with multiple merit scholarships and awards for his academic achievements. His dedication to advancing knowledge in theoretical physics marks him as a rising talent in the field.

Profile:

Google Scholar

Education

Dr. Yousaf is currently completing his Ph.D. in Mathematics (2020–2024) from the University of the Punjab, Pakistan, where he achieved an impressive CGPA of 3.73/4.00 in his course work and 3.70/4.00 in his comprehensive exams. His doctoral research focuses on the investigation of celestial objects using advanced mathematical methods, under the supervision of Associate Professors Dr. Muhammad Zaeem-Ul-Haq Bhatti and Dr. Zeeshan Yousaf. Prior to his Ph.D., Dr. Yousaf completed his M.Phil. in Mathematics (2018–2020) with a CGPA of 3.47/4.00, also at the University of the Punjab, under the supervision of Dr. Muhammad Zaeem-Ul-Haq Bhatti.

Professional Experiences

Dr. Muhammad Yousaf has gained valuable professional experience throughout his academic journey, primarily within the Department of Mathematics at the University of the Punjab, Pakistan. He has been actively involved in organizing and leading various events, including serving as the Chief Organizer for the department’s Sports Gala in 2017 and 2019, and as an Organizer in 2022. Additionally, he has demonstrated leadership as a Class Representative for two years, from 2015 to 2017. His administrative contributions reflect his ability to manage and coordinate academic and extracurricular activities, while maintaining a strong focus on his academic pursuits in mathematics and research.

Research Interests

Dr. Muhammad Yousaf’s research interests lie at the intersection of mathematics and theoretical physics, with a particular focus on geometry, the general theory of relativity, and astrophysics. He is deeply engaged in exploring modified gravitational theories and their implications for celestial mechanics and cosmology. His work involves the mathematical modeling of celestial objects and the dynamics of various fluid configurations within the framework of gravitational theories. Additionally, Dr. Yousaf has a keen interest in electromagnetic theory and mathematical physics, enabling him to address complex problems in both theoretical and applied contexts. His multifaceted research aims to contribute to a deeper understanding of the fundamental principles governing the universe.

Research skills

Dr. Muhammad Yousaf possesses a diverse set of research skills honed through his advanced studies in mathematics, with a particular focus on celestial mechanics, gravitational theories, and cosmology. His expertise includes the application of mathematical methods to complex problems in astrophysics, such as investigating celestial objects and the dynamics of fluid configurations in modified gravity. He is proficient in advanced mathematical tools like Mathematica and Maple, which he utilizes for solving intricate problems related to general relativity, electromagnetic theory, and mathematical physics. Additionally, Dr. Yousaf is skilled in using LaTeX for research documentation and scientific communication. His ability to integrate theoretical knowledge with computational techniques allows him to contribute significantly to cutting-edge research in gravitational physics and cosmology.

Award And Recoginition

Dr. Muhammad Yousaf has been recognized for his academic excellence and contributions throughout his academic career. He has received multiple merit scholarships, including the DPC Merit Scholarships for both his M.Phil. and M.Sc. studies at the University of the Punjab, in recognition of his outstanding academic performance. He was also awarded the College 1st Position Merit Scholarship during his B.Sc. at Post Graduate College Layyah and the Peef Merit Scholarship for his F.Sc. by the Government of Punjab. In addition to his academic achievements, Dr. Yousaf has also been recognized for his extracurricular involvement, winning various competitions such as the Carom Board (2018–2020), Relay Race (2015–2017), and Ludo (2015–2017) at the University of the Punjab’s Department of Mathematics. These honors highlight both his academic and extracurricular excellence.

Conclusion

Dr. Muhammad Yousaf’s extensive research, academic excellence, and leadership roles make him an outstanding candidate for the Best Scholar Award. His contributions to the fields of mathematical physics, astrophysics, and modified gravitational theories are significant and align with the criteria for recognition in this prestigious award category.

Publication Top Notes

Stability of Self-Gravitating Anisotropic Fluids in f(R, T) Gravity
Authors: M.Z. Bhatti, Z. Yousaf, M. Yousaf
Journal: Physics of the Dark Universe
Volume: 28
Article Number: 100501
Citations: 81
Year: 2020
Novel Junction Conditions in f(G, T) Modified Gravity
Authors: M.Z. Bhatti, M. Yousaf, Z. Yousaf
Journal: General Relativity and Gravitation
Volume: 55(1)
Article Number: 16
Citations: 29
Year: 2023
Effects of Non-Minimally Coupled f(R, T) Gravity on the Stability of a Self-Gravitating Spherically Symmetric Fluid
Authors: M.Z. Bhatti, Z. Yousaf, M. Yousaf
Journal: International Journal of Geometric Methods in Modern Physics
Volume: 19(08)
Article Number: 2250120
Citations: 25
Year: 2022
Dynamical Analysis for Cylindrical Geometry in Non-Minimally Coupled Gravity
Authors: M.Z. Bhatti, Z. Yousaf, M. Yousaf
Journal: International Journal of Geometric Methods in Modern Physics
Volume: 19(02)
Article Number: 2250018
Citations: 24
Year: 2022
Dynamical Analysis of Charged Fluid Under Nonminimally Coupled Gravity Theory
Authors: M.Z. Bhatti, Z. Yousaf, M. Yousaf, K. Bamba
Journal: International Journal of Modern Physics D
Volume: 31(11)
Article Number: 2240002
Citations: 23
Year: 2022
Stability Analysis of Restricted Non-Static Axial Geometry in f(R, T) Gravity
Authors: M.Z. Bhatti, Z. Yousaf, M. Yousaf
Journal: Chinese Journal of Physics
Volume: 77
Pages: 2617-2638
Citations: 23
Year: 2022
Study of Nonstatic Anisotropic Axial Structures Through Perturbation
Authors: M.Z. Bhatti, Z. Yousaf, M. Yousaf
Journal: International Journal of Modern Physics D
Volume: 31(16)
Article Number: 2250116
Citations: 20
Year: 2022
Cylindrical Wormholes and Electromagnetic Field
Authors: M. Yousaf, M.Z. Bhatti, Z. Yousaf
Journal: Nuclear Physics B
Volume: 995
Article Number: 116328
Citations: 17
Year: 2023
Stability Analysis of Axial Geometry with Anisotropic Background in f(R, T) Gravity
Authors: M.Z. Bhatti, Z. Yousaf, M. Yousaf
Journal: Modern Physics Letters A
Volume: 38(12-13)
Article Number: 2350067
Citations: 13
Year: 2023

H. Asad | Mathematics | Best Scholar Award

Posted on 24/09/2024 by Shen Awards

H. Asad | Mathematics | Best Scholar Award

Lecturer, Lahore Leads University, Pakistan.

Dr. Hamna Asad is an emerging researcher in the field of applied mathematics, with a focus on modified gravitational theories, electromagnetic theory, and cosmology. She has contributed significantly to understanding complex phenomena such as gravastars, hyperbolic fluids, and the effects of electromagnetic fields on gravitational systems. With a number of high-impact journal publications and international conference presentations, Dr. Asad is making notable strides in theoretical physics. Her academic journey has been marked by excellence, both as a student and a researcher, positioning her as a promising figure in the mathematical physics community.

Profile:

Google Scholar

Education

Dr. Hamna Asad is pursuing her Ph.D. in Mathematics at the University of the Punjab, Pakistan, with a major in applied mathematics. Her doctoral research focuses on gravitational modifications, particularly studying hyperbolic fluids and gravitating systems in the context of modified gravity. She completed her M.Phil. in Mathematics in 2020, also from the University of the Punjab, with an impressive CGPA of 3.94/4.00. Prior to that, she earned a Bachelor’s degree in Mathematics, securing 3rd position in her class with a CGPA of 3.87/4.00.

Professional Experiences

In addition to her research work, Dr. Asad has extensive experience in academia. She has served as a teaching faculty member at Lahore Leads University, FAST NUCES, and the Institute of Business and Information Technology (IBIT) at the University of the Punjab. Her teaching roles have allowed her to impart her knowledge of applied mathematics and theoretical physics to both undergraduate and graduate students. Alongside teaching, she has been actively involved in academic discussions and conferences, delivering talks on gravitational theory and fluid dynamics.

Research skills

Dr. Hamna Asad possesses a robust set of research skills that span both theoretical and computational domains in applied mathematics and physics. Her expertise includes advanced problem-solving techniques in gravitational theories, mathematical modeling of fluid dynamics, and analytical approaches to complex systems in modified gravity. She is proficient in using specialized software such as Mathematica and Maple for symbolic computations, simulations, and modeling, enabling her to test hypotheses and develop solutions for complex mathematical problems. Dr. Asad has a keen ability to critically analyze scientific literature, design rigorous research methodologies, and present her findings in a clear and impactful manner. Her collaborative work with international researchers and contributions to high-impact journals showcase her capability to manage large-scale research projects, from inception to publication. Additionally, she excels in synthesizing theoretical insights with practical implications, particularly in the fields of cosmology and astrophysics.

Award And Recoginition

Conclusion

Dr. Hamna Asad has demonstrated exceptional academic prowess and research expertise in applied mathematics and gravitational studies. Her publications, presentations, and honors speak to her strong candidacy for the Best Researcher Award. Although her academic and research experience is currently more concentrated in Pakistan, her potential for international collaboration and interdisciplinary research could further elevate her contribution to the global academic landscape. Overall, she is a strong and deserving candidate for the award, with a promising future ahead.

Publication Top Notes

Gravastars in f (R, T, RμνTμν) gravity
Authors: Z. Yousaf, M.Z. Bhatti, H. Asad
Year: 2020
Citation: Physics of the Dark Universe, 28, 100527 🌌
Electromagnetic effects on anisotropic expansion-free fluid content
Authors: Z. Yousaf, H. Asad, B. Almutairi, A. Malik
Year: 2023
Citation: Communications in Theoretical Physics, 75 (10), 105202 ⚡
Hyperbolically symmetric sources in f (R, T) gravity
Authors: Z. Yousaf, M.Z. Bhatti, H. Asad
Year: 2022
Citation: Annals of Physics, 437, 168753 📚
Hyperbolically symmetric static charged cosmological fluid models
Authors: Z. Yousaf, M.Y. Khlopov, M.Z. Bhatti, H. Asad
Year: 2022
Citation: Monthly Notices of the Royal Astronomical Society, 510 (3), 4100-4109 🌠
A comprehensive analysis of hyperbolical fluids in modified gravity
Authors: Z. Yousaf, M.Z. Bhatti, M. Khlopov, H. Asad
Year: 2022
Citation: Entropy, 24 (2), 150 🔍
Study of Anisotropic Fluid Distributed Hyperbolically in f(R,T,Q) Gravity
Authors: H. Asad, Z. Yousaf
Year: 2022
Citation: Universe, 8 (12), 630 🌌
Electromagnetic effects on cylindrical gravastar-like strings in f(R, T, RσηTση) gravity
Authors: Z. Yousaf, M.Z. Bhatti, H. Asad
Year: 2022
Citation: International Journal of Geometric Methods in Modern Physics, 19 (05), 2250070 ⚛️
Consequences of electric charge on anisotropic hyperbolically symmetric static spacetime
Authors: Z. Yousaf, M.Z. Bhatti, H. Asad
Year: 2022
Citation: Physica Scripta, 97 (5), 055304 ⚡
Significance of Charge on the Dynamics of Hyperbolically Distributed Fluids
Authors: Z. Yousaf, G.G.L. Nashed, M.Z. Bhatti, H. Asad
Year: 2022
Citation: Universe, 8 (6), 337 🔋
Matter–curvature gravity modification and the formation of cylindrical isotropic systems
Authors: Z. Yousaf, M.Z. Bhatti, H. Asad
Year: 2022
Citation: Pramana, 96 (2), 111 📐
Evolution of non-static fluid for irreversible gravitational radiation in Palatini F (R) gravity
Authors: H. Asad, M. Yousaf, B. Almutairi, L. Zahid, A.S. Khan
Year: 2024
Citation: Physics of the Dark Universe, 101666 🌌
Analytical models of hyperbolical gravitational sources
Authors: Z. Yousaf, M.Z. Bhatti, H. Asad
Year: 2023
Citation: International Journal of Modern Physics D, 32 (13), 2350089 📊
Study of Anisotropic Fluid Distributed Hyperbolically in f (R, T, Q) Gravity
Authors: H. Asad, Z. Yousaf
Year: 2022
Citation: Universe, 2022, 8, 630 📄

Rizwan Gul | Mathematics | Best Researcher Award

Posted on 22/08/202422/08/2024 by Shen Awards

Dr. Rizwan Gul | Mathematics | Best Researcher Award

Research Scholar at Quaid-i-Azam University, Islamabad, Pakistan.

Rizwan Gul is a Ph.D. candidate in Pure Mathematics at Quaid-i-Azam University, Islamabad, Pakistan. He has an M.Phil. and a BS in Mathematics from the same institution and Kohat University of Science & Technology, respectively. His research interests include fuzzy algebraic structures, decision-making theory, soft and rough sets, and their applications. Rizwan has published extensively in ISI-listed journals with high impact factors, focusing on advanced mathematical models such as (α, β)-multi-granulation bipolar fuzzified rough sets and their applications in decision-making. He has also contributed to the field of algebraic cryptography. His work has been recognized with several awards, including a merit scholarship and a distinction award. Proficient in multiple programming and mathematical tools, Rizwan is actively involved in reviewing for international journals and has presented his research at various conferences. His contributions to mathematics demonstrate a strong foundation and innovative approach in his field.

Profile

Education🎓

Rizwan Gul has a strong academic background in Mathematics, culminating in a Ph.D. in Pure Mathematics from Quaid-i-Azam University, Islamabad, which he is expected to complete between 2020 and 2024. His doctoral research focuses on advanced topics such as (α, β)-Multi-Granulation Bipolar Fuzzified Rough Sets and their applications in decision-making. Prior to his Ph.D., Rizwan earned an M.Phil. in Pure Mathematics from the same institution between 2018 and 2020, where he conducted significant research on Modified Rough Bipolar Soft Sets. His academic journey began with a Bachelor of Science in Mathematics from Kohat University of Science & Technology, Kohat, completed between 2013 and 2017. During his undergraduate studies, he developed a strong foundation in mathematical theories, culminating in his thesis on Quivers and Path Algebras of Finite Connected Acyclic Quivers. His consistent academic excellence is evident through the distinctions and merit scholarships he received throughout his studies.

Professional Experience 🏢

Rizwan Gul is currently associated with the Department of Mathematics at Quaid-i-Azam University, Islamabad, where he is pursuing his Ph.D. in Pure Mathematics. His academic journey at Quaid-i-Azam University also includes completing an M.Phil. in Pure Mathematics, during which he contributed significantly to research in fuzzy algebraic structures, decision-making theory, and soft sets. Rizwan has an impressive portfolio of research publications, many of which are listed in high-impact ISI journals. His expertise extends to refereeing and reviewing for reputable journals like the Journal of Intelligent & Fuzzy Systems and Computational and Applied Mathematics. Throughout his academic career, he has delivered seminars and participated in workshops and conferences that further enriched his knowledge and research skills. Rizwan’s professional experience is marked by a strong foundation in mathematical theory and its applications, particularly in the areas of fuzzy sets and their hybrid structures.

Research Interests 🔬

Rizwan Gul’s research interests lie in the field of pure mathematics, with a particular focus on fuzzy algebraic structures, decision-making theory, and their applications. His work explores fuzzy sets and their generalizations, such as rough sets, soft sets, and their hybrid algebraic structures. Rizwan is deeply engaged in the study of aggregation operators and algebraic cryptography, contributing to the development of advanced mathematical models that address complex decision-making problems. His research includes the application of these mathematical frameworks to multi-criteria group decision-making, providing innovative solutions to challenges in various fields. Through his work, Rizwan aims to push the boundaries of mathematical theory while offering practical tools for real-world problems, particularly in the realm of decision-making under uncertainty. His contributions are published in high-impact journals, reflecting the significance and relevance of his research in the mathematical community.

Award and Honors

Rizwan Gul has demonstrated exceptional academic and research prowess, earning several accolades throughout his career. Notably, he received a Merit Scholarship during his BS studies at Kohat University of Science & Technology (KUST), Pakistan, in recognition of his outstanding performance in the final four semesters. His academic excellence also earned him a Silver Medal distinction from KUST, further solidifying his status as a top-performing student. In 2016, he was awarded a merit-based laptop under the Prime Minister’s Laptop Scheme, highlighting his academic achievements at the national level. These honors underscore his dedication to his studies and his contributions to the field of mathematics, particularly in areas such as fuzzy algebraic structures and decision-making theories. Rizwan Gul’s consistent recognition for academic excellence is a testament to his hard work and his potential for making significant contributions to mathematical research.

Research Skills

Rizwan Gul possesses a robust set of research skills, particularly in the field of Pure Mathematics, with a focus on fuzzy algebraic structures, decision-making theory, and their hybrid applications. His expertise spans various advanced mathematical concepts, including rough sets, soft sets, and their generalizations. He has demonstrated proficiency in mathematical modeling, especially in the development and application of bipolar fuzzified rough sets in decision-making. Rizwan is adept at using computational tools such as AMS-LaTeX, Maple, Matlab, and Mathematica, which enhances his ability to solve complex mathematical problems and present his findings effectively. His research contributions are well-documented in numerous ISI-listed journals with significant impact factors, reflecting his ability to conduct high-quality research. Moreover, his experience in reviewing and refereeing for reputable journals further underscores his analytical skills and deep understanding of contemporary mathematical research trends. These skills collectively position him as a capable and innovative researcher in his field.

Conclusion

Rizwan Gul is a strong candidate for the Research for Best Researcher Award, with a robust academic background, significant research contributions, and a strong publication record in high-impact journals. His research is highly specialized and has potential applications in decision-making and cryptography, which are important fields in both theoretical and applied mathematics. To further enhance his profile, Rizwan should consider increasing his international presence, expanding the interdisciplinary applications of his research, and participating in teaching or mentoring roles. Overall, his current achievements make him a competitive nominee for this award.

Publications Top Notes 📚

Modified Rough Bipolar Soft Sets
- Authors: M Shabir, R Gul
- Journal: Journal of Intelligent & Fuzzy Systems
- Year: 2020
- Citations: 21
- Volume: 39 (3), Pages 4259-4283
Roughness of a Set by -Indiscernibility of Bipolar Fuzzy Relation
- Authors: R Gul, M Shabir
- Journal: Computational and Applied Mathematics
- Year: 2020
- Citations: 20
- Volume: 39 (3), Page 160
Medical Decision-Making Techniques Based on Bipolar Soft Information
- Authors: N Malik, M Shabir, TM Al-shami, R Gul, A Mhemdi
- Journal: AIMS Math
- Year: 2023
- Citations: 8
- Volume: 8 (8), Pages 18185-18205
A Novel Approach Toward Roughness of Bipolar Soft Sets and Their Applications in MCGDM
- Authors: R Gul, M Shabir, M Naz, M Aslam
- Journal: IEEE Access
- Year: 2021
- Citations: 8
- Volume: 9, Pages 135102-135120
Rough Bipolar Fuzzy Ideals in Semigroups
- Authors: N Malik, M Shabir, TM Al-shami, R Gul, M Arar, M Hosny
- Journal: Complex & Intelligent Systems
- Year: 2023
- Citations: 7
- Volume: 9 (6), Pages 7197-7212
Multigranulation Modified Rough Bipolar Soft Sets and Their Applications in Decision-Making
- Authors: R Gul, M Shabir, M Aslam, S Naz
- Journal: IEEE Access
- Year: 2022
- Citations: 7
- Volume: 10, Pages 46936-46962
A Comprehensive Study on -Bipolar Fuzzified Rough Set Model Based on Bipolar Fuzzy Preference Relation and Corresponding Decision-Making Applications
- Authors: R Gul, M Shabir, M Naeem
- Journal: Computational and Applied Mathematics
- Year: 2023
- Citations: 6
- Volume: 42 (7), Page 310
A Study on Soft Multi-Granulation Rough Sets and Their Applications
- Authors: S Ayub, W Mahmood, M Shabir, ANA Koam, R Gul
- Journal: IEEE Access
- Year: 2022
- Citations: 5
- Volume: 10, Pages 115541-115554
Another Approach to Linear Diophantine Fuzzy Rough Sets on Two Universes and Its Application Towards Decision-Making Problems
- Authors: S Ayub, M Shabir, R Gul
- Journal: Physica Scripta
- Year: 2023
- Citations: 4
- Volume: 98 (10), Article 105240
A Novel Decision-Making Technique Based on T-Rough Bipolar Fuzzy Sets
- Authors: N Malik, M Shabir, TM Al-shami, R Gul, M Arar
- Journal: Journal of Mathematical and Computational Science
- Year: 2024
- Citations: 3
- Volume: 33, Pages 275-289