Lakshmi Narayan Mishral | Mathematics | Best Researcher Award

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Dr . Lakshmi Narayan Mishral | Mathematics | Best Researcher Award

Assistant Professor Senior Grade 2, Vellore Institute of Technology, Vellore, Tamil Nadu, Vellore, India.

Dr. Lakshmi Narayan Mishra is a distinguished scholar in the field of mathematics, currently serving as a faculty member at the Vellore Institute of Technology, India. With a Ph.D. focused on nonlinear integral equations, his research spans various areas, including neural networks, fractional calculus, and optimization. Dr. Mishra has published extensively, contributing to numerous peer-reviewed journals and focusing on topics such as existence theorems and approximation theory. He has supervised multiple Ph.D. candidates, demonstrating a commitment to fostering the next generation of researchers. His work is recognized for its practical applications in areas like dynamic programming and signal processing. Despite his significant achievements, there are opportunities for Dr. Mishra to enhance his interdisciplinary collaboration and increase his visibility in global academic forums. Overall, his contributions to mathematics and dedication to research and education position him as a strong candidate for the Best Scholar Award.

 

Publication ProfilešŸ‘¤

Current Position

Dr. Lakshmi Narayan Mishra currently serves as a faculty member in the Department of Mathematics at the Vellore Institute of Technology (VIT) in Vellore, Tamil Nadu, India. Since May 2018, he has been involved in both teaching and research, contributing significantly to various areas of mathematics, particularly in neural networks, fractional calculus, and nonlinear analysis. His extensive research background includes a Ph.D. focused on nonlinear integral equations, and he has authored numerous publications in reputable journals. Dr. Mishra is dedicated to advancing mathematical knowledge and mentoring students, supervising several Ph.D. candidates in their research pursuits. He is actively engaged in academic activities and is well-respected in the mathematical community for his expertise and contributions to the field. His commitment to research excellence and education underscores his role as a valuable asset to VIT and the broader academic community.

 

Previous Experience

Dr. Lakshmi Narayan Mishra has a diverse academic background and extensive experience in teaching and research. He began his career as a lecturer at Mody University of Science and Technology, where he taught undergraduate and postgraduate students. Subsequently, he served as an Assistant Professor at Lovely Professional University, engaging in both teaching and research activities. Since May 2018, Dr. Mishra has been a faculty member at the Vellore Institute of Technology, contributing to the Department of Mathematics. In addition to his teaching roles, he has been involved in supervising several Ph.D. candidates, guiding them in their research projects. His previous experience includes working as a research scholar at the National Institute of Technology, Silchar, where he deepened his expertise in nonlinear analysis, approximation theory, and fractional calculus. Dr. Mishra’s broad academic exposure equips him with valuable insights into the evolving landscape of mathematical research and education.

 

Educational Background

Dr. Lakshmi Narayan Mishra has an impressive educational background in mathematics. He completed his Bachelor of Science in 2010 and Master of Science in Mathematics in 2012, both from Dr. Ram Manohar Lohia Avadh University, Ayodhya. He then pursued his Ph.D., focusing on nonlinear integral equations and their applications, which he completed in February 2017 at the National Institute of Technology, Silchar. His doctoral research, titled “On existence and behavior of solutions to some nonlinear integral equations with applications,” showcases his deep understanding of advanced mathematical concepts. Dr. Mishra’s academic journey reflects his dedication to the field, reinforced by various research interests, including neural networks, fractional calculus, and nonlinear analysis. His educational qualifications provide a strong foundation for his ongoing contributions to mathematical research and teaching, positioning him as a prominent figure in his area of expertise.

 

Research Directions

Dr. Lakshmi Narayan Mishra’s research primarily focuses on various advanced topics in mathematics, including neural networks, fractional calculus, and nonlinear integral equations. His work explores the existence and behavior of solutions to nonlinear integral equations, emphasizing applications in fields like dynamic programming and optimization. He also investigates fixed-point theory and approximation theory, contributing significantly to the understanding of numerical solutions in fractional differential equations. Additionally, Dr. Mishra’s research extends to areas such as measure of noncompactness, Banach algebra, and operator theory, which play crucial roles in the analysis of functional equations. His interdisciplinary approach not only enhances theoretical frameworks but also facilitates practical applications in signal processing, image analysis, and optimization problems, showcasing the versatility and relevance of his work in contemporary mathematical research. Through his publications and ongoing Ph.D. supervision, Dr. Mishra continues to inspire and guide emerging scholars in the field.

 

Professional Contributions

Dr. Lakshmi Narayan Mishra has made significant professional contributions in the field of mathematics, particularly in areas such as neural networks, fractional calculus, and nonlinear integral equations. He has published extensively in peer-reviewed journals, with a focus on the existence and behavior of solutions to complex mathematical equations, which has advanced understanding in both theoretical and applied mathematics. Dr. Mishra’s work in approximation theory and functional analysis demonstrates his commitment to tackling challenging problems, leading to innovative solutions that have practical applications in various fields, including dynamic programming and signal processing. As a dedicated educator, he has supervised multiple Ph.D. candidates, fostering the next generation of mathematicians. His involvement in academic collaborations, along with his active participation in conferences and seminars, further underscores his commitment to the mathematical community. Overall, Dr. Mishraā€™s contributions reflect a profound impact on both research and education in mathematics.

Conclusion

Dr. Lakshmi Narayan Mishra is a commendable candidate for the Best Scholar Award, showcasing a robust academic and research background in mathematics. His impressive educational qualifications, culminating in a Ph.D. focused on nonlinear integral equations, reflect his expertise in a diverse range of specializations, including neural networks and fractional calculus. Dr. Mishraā€™s substantial publication record, featuring numerous articles in reputable journals, demonstrates his commitment to advancing mathematical research. His effective supervision of Ph.D. candidates further illustrates his dedication to nurturing the next generation of scholars. While he exhibits significant strengths in research productivity and mentorship, there are opportunities for improvement, such as enhancing interdisciplinary collaborations and seeking external funding for research projects. In conclusion, Dr. Mishraā€™s scholarly contributions and potential for growth make him a deserving candidate for the Best Scholar Award, recognizing his valuable impact on the academic community and the field of mathematics.

 

Publication Top Notes
    1. Attributes of residual neural networks for modeling fractional differential equations
      • Authors: Agarwal, S., Mishra, L.N.
      • Year: 2024
      • Citations: 0
    2. A comprehensive analysis for weakly singular nonlinear functional Volterra integral equations using discretization techniques
      • Authors: Bhat, I.A., Mishra, L.N., Mishra, V.N., Abdel-Aty, M., Qasymeh, M.
      • Year: 2024
      • Citations: 2
    3. A comparative study of discretization techniques for augmented Urysohn type nonlinear functional Volterra integral equations and their convergence analysis
      • Authors: Bhat, I.A., Mishra, L.N.
      • Year: 2024
      • Citations: 6
    4. Convergence analysis of modified SzƔsz operators associated with Hermite polynomials
      • Authors: Kumar, A., Verma, A., Rathour, L., Mishra, L.N., Mishra, V.N.
      • Year: 2024
      • Citations: 2
    5. Precision and efficiency of an interpolation approach to weakly singular integral equations
      • Authors: Bhat, I.A., Mishra, L.N., Mishra, V.N., TunƧ, C., TunƧ, O.
      • Year: 2024
      • Citations: 9
    6. Approximation on bivariate of Durrmeyer operators based on beta function
      • Authors: Raiz, M., Rajawat, R.S., Mishra, L.N., Mishra, V.N.
      • Year: 2024
      • Citations: 4
    7. Analysis of efficient discretization technique for nonlinear integral equations of Hammerstein type
      • Authors: Bhat, I.A., Mishra, L.N., Mishra, V.N., Tunc, C.
      • Year: 2024
      • Citations: 0
    8. Some Approximation Properties Of A Certain Summation Integral Type Operator
      • Authors: Maindola, S., Gairola, A.R., Rathour, L., Mishra, L.N.
      • Year: 2024
      • Citations: 0
    9. Tracing roots and linkages: Harnessing graph theory and social network analysis in genealogical research, based on the kin naming system
      • Authors: Joram, A., Singh, K.R., Mishra, L.N., Rathour, L., Vanav Kumar, A.
      • Year: 2024
      • Citations: 1
    10. Approximation of Periodic Functions by Wavelet Fourier Series
      • Authors: Karanjgaokar, V., Rahatgaonkar, S., Rathour, L., Mishra, L.N., Mishra, V.N.
      • Year: 2024
      • Citations: 0

Sneha Agarwal | Mathematics | Best Researcher Award

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Ms. Sneha Agarwal | Mathematics | Best Researcher Award

Ph.D, Vellore institute of technology, Vellore, India.

Sneha Agarwal, Ph.D., is a promising researcher with a robust academic background, having earned her Ph.D. from VIT University and an M.Sc. in Mathematics from Gurukul Kangri Vishwavidyalaya. She has made notable contributions to the field through her publications on residual neural networks and fractional differential equations, showcasing her expertise in advanced mathematical concepts. Proficient in Python and MATLAB, Sneha demonstrates strong technical skills that are vital for contemporary research. Her strong command of English and Hindi facilitates effective communication in diverse settings. Additionally, qualifying for the GATE exam in Mathematics further highlights her capabilities. While she has a solid foundation, expanding her research topics and engaging more in interdisciplinary collaborations could enhance her academic profile. Overall, Sneha is a strong candidate for the Best Researcher Award, with significant potential for future contributions to the field of mathematics.

Publication ProfilešŸ‘¤

Current Position

Sneha Agarwal is currently positioned as a researcher with a Ph.D. from VIT University, Vellore, where she has demonstrated exceptional expertise in mathematics, particularly in the field of fractional differential equations and neural networks. Her research contributions include published journal articles and presentations at international conferences, showcasing her ability to tackle complex mathematical problems and collaborate effectively with other scholars. In addition to her research, Sneha possesses strong technical skills in programming languages such as Python and MATLAB, which she employs to enhance her research methodologies. With her qualifications, including GATE qualification in Mathematics, she is well-equipped for academic and research roles. Snehaā€™s language proficiency in English and Hindi further enables her to communicate her findings effectively in diverse academic contexts. As she continues to advance her career, her focus on innovative research and collaborative opportunities positions her as a promising contributor to the field of mathematics.

Previous Experience

Sneha Agarwal has a solid foundation in both academic and practical aspects of mathematics and research. She completed her Ph.D. at VIT University, where she focused on advanced mathematical concepts, particularly in modeling fractional differential equations using residual neural networks. During her M.Sc. at Gurukul Kangri Vishwavidyalaya, she excelled academically, achieving an impressive CGPA of 8.61. Her educational journey began with a B.Sc. in Physics, Chemistry, and Mathematics from M.J.P. Rohilkhand University, where she graduated with a commendable percentage. Alongside her studies, Sneha has gained valuable experience in academic research and teaching, demonstrating her ability to convey complex concepts effectively. Her proficiency in programming languages like Python and MATLAB, coupled with her skills in LATEX typesetting, equips her to tackle sophisticated mathematical problems. Additionally, she has been recognized for her academic excellence, notably qualifying for the GATE exam in Mathematics conducted by IIT Kanpur.

Educational Background

Sneha Agarwal has a strong educational background that underpins her research expertise in mathematics. She earned her Ph.D. from VIT University, Vellore, in 2023, where she focused on advanced topics in mathematics, demonstrating her commitment to academic excellence. Prior to her doctoral studies, she completed her Master of Science in Mathematics at Gurukul Kangri Vishwavidyalaya, Haridwar, in 2021, achieving a commendable CGPA of 8.61. This solid foundation in mathematical principles was further reinforced during her Bachelor of Science degree at M.J.P. Rohilkhand University, Bareilly, where she studied Physics, Chemistry, and Mathematics, graduating in 2019 with a percentage of 66.89. Through her educational journey, Sneha has developed a deep understanding of mathematical concepts, preparing her for rigorous research and contributions to the field. Her academic achievements reflect her dedication and capability, making her a promising researcher in mathematics.

Research Directions

Sneha Agarwal’s research directions primarily focus on the application of advanced mathematical techniques in the realm of fractional differential equations and neural networks. Her work explores the characteristics and attributes of residual neural networks, aiming to enhance their effectiveness in modeling complex mathematical phenomena. By investigating the intersection of machine learning and applied mathematics, she seeks to develop innovative solutions for real-world problems. Furthermore, Sneha is interested in expanding her research to include interdisciplinary applications, such as data science and computational mathematics, to address challenges in diverse fields like engineering and physics. She aims to collaborate with experts from different domains, which could lead to novel methodologies and applications of her findings. As she continues to build on her expertise, Sneha’s future research directions are likely to contribute significantly to both theoretical advancements and practical implementations in mathematics and related disciplines.

Professional Contributions

Sneha Agarwal, Ph.D., has made significant professional contributions in the field of mathematics, particularly through her research on residual neural networks and fractional differential equations. Her recent publications, including journal articles and conference proceedings, reflect her deep understanding of complex mathematical concepts and their practical applications. Sneha’s work demonstrates her ability to blend theoretical knowledge with computational techniques, showcasing her proficiency in programming languages such as Python and MATLAB. Additionally, she is skilled in LATEX typesetting, enabling her to present her research findings effectively. Beyond her academic achievements, Sneha has qualified for the GATE exam in Mathematics, underscoring her strong foundational knowledge. Her commitment to academic research, coupled with her teaching experience, positions her as a valuable contributor to both the academic community and the broader field of mathematics. Overall, Sneha’s contributions not only advance mathematical research but also inspire future generations of scholars in the discipline.

Conclusion

Sneha Agarwal emerges as a compelling candidate for the Best Researcher Award, showcasing a strong educational foundation with a recent Ph.D. from VIT University and notable achievements in her research. Her contributions to the field of mathematics, particularly through her work on residual neural networks and fractional differential equations, reflect her ability to tackle complex problems and engage with advanced topics. Proficiency in programming languages like Python and MATLAB, along with her skills in LATEX typesetting, further enhance her research capabilities. While her focus on specific research areas is commendable, expanding her topics of interest and increasing her participation in conferences could bolster her profile. Additionally, engaging in community outreach can demonstrate her commitment to applying research for societal benefit. Overall, Snehaā€™s dedication, technical expertise, and potential for impactful contributions position her as a deserving recipient of the Best Researcher Award.

Publication Top Notes
  • Attributes of residual neural networks for modeling fractional differential equations
    1. Journal: Heliyon
    2. Year: 2024
    3. DOI: 10.1016/j.heliyon.2024.e38332
    4. EID: 2-s2.0-85204805580
    5. ISSN: 2405-8440
    6. Authors: S. Agarwal and L.N. Mishra

 

 

HABIBA | Agricultural and Biological Sciences | Best Researcher Award

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Dr.HABIBA | Agricultural and Biological Sciences | Best Researcher Award

RESEACRCH SCHOLAR,UNIVERSITY OF LUCKNOW, INDIA.

Dr. Habiba Khan is a dedicated researcher in the field of zoology, specializing in cancer biology, with a focus on the effects of phytochemicals on prostate cancer. She has seven years of research experience and recently completed her Ph.D. at the University of Lucknow. Her dissertation, ā€œEffect of promising phytochemicals on proliferation and apoptosis of androgen-sensitive and androgen-insensitive prostate cancer cell lines,ā€ showcases her expertise in this critical area of study. Dr. Khan has a robust skill set that includes cell and tissue culture, molecular biology techniques, and biochemistry assays. She has received multiple accolades, including best oral presentation and best research paper awards in 2024. In addition to her research accomplishments, she serves as a visiting faculty member, highlighting her commitment to education and mentorship. With numerous publications in reputable journals, Dr. Khan is poised to make significant contributions to cancer research and the scientific community.

 

Publication ProfilešŸ‘¤

Current Position

Dr. Habiba Khan is currently a visiting faculty member in the Department of Zoology at the Institute of Advanced Molecular Genetics & Infectious Diseases, University of Lucknow. With a specialization in cancer biology, she is finalizing her Ph.D. degree, focusing on the effects of phytochemicals on prostate cancer cell lines. Her extensive research experience spans over seven years, during which she has developed a diverse skill set, including proficiency in cell culture, molecular biology techniques, and in vivo studies. Dr. Khan has contributed significantly to the field through multiple publications in reputable journals and has been recognized with several awards for her presentations at conferences. Her role as a visiting faculty member demonstrates her commitment to education and mentorship, where she shares her expertise with students pursuing advanced degrees in molecular and human genetics. Dr. Khan is dedicated to advancing her research in cancer biology and making impactful contributions to the scientific community.

 

Previous Experience

Dr. Habiba Khan has accumulated over seven years of extensive research experience, primarily in the field of Zoology with a specialization in Cancer Biology. Her Ph.D. research, titled “Effect of promising phytochemicals on proliferation and apoptosis of androgen-sensitive and androgen-insensitive prostate cancer cell lines,” showcases her focus on critical health issues. In addition to her doctoral work, Dr. Khan served as a visiting faculty member in the M.Sc. Molecular & Human Genetics program at the Institute of Advanced Molecular Genetics & Infectious Diseases at the University of Lucknow. Her expertise spans various advanced techniques, including cell and tissue culture, molecular biology, biochemistry, and histological studies. Throughout her career, she has received multiple awards for her presentations and publications, highlighting her contributions to the field. Dr. Khan’s diverse skill set, coupled with her academic accomplishments, positions her as a valuable asset in both research and education within the scientific community.

 

Educational Background

Dr. Habiba Khan has a solid educational foundation in the field of zoology. She completed her Bachelor of Science (B.Sc.) in Zoology, Botany, and Chemistry from Isabella Thoburn College, Lucknow, in 2012. Building on this, she pursued a Master of Science (M.Sc.) in Zoology at the University of Lucknow, graduating in 2014. Dr. Khan is currently finalizing her Ph.D. in Zoology with a specialization in Cancer Biology, which she is expected to complete in 2024. Her doctoral research focuses on the effects of promising phytochemicals on the proliferation and apoptosis of both androgen-sensitive and androgen-insensitive prostate cancer cell lines. Throughout her academic journey, Dr. Khan has demonstrated a strong commitment to advancing her knowledge and skills, as evidenced by her successful participation in various competitive exams, including the Graduate Aptitude Test in Engineering (GATE) and the CSIR-UGC NET, which she qualified in 2017.

 

Research Directions

Dr. Habiba Khan’s research directions primarily focus on the intersection of cancer biology and phytochemistry, particularly in exploring the therapeutic potential of natural compounds against prostate cancer. Her work emphasizes the investigation of promising phytochemicals, such as 6-Gingerol, for their anti-cancerous and apoptotic properties, aimed at both androgen-sensitive and androgen-insensitive prostate cancer cell lines. Future research endeavors could expand into the molecular mechanisms underlying the efficacy of these compounds, as well as their potential synergistic effects when combined with conventional therapies. Additionally, Dr. Khan may explore the role of dietary polyphenols in cancer prevention, enhancing the understanding of their mechanisms of action. Incorporating advanced techniques like nanotechnology and molecular docking could facilitate the development of novel treatment strategies. Collaborative projects with interdisciplinary teams could also enhance her research scope, allowing for a comprehensive approach to cancer treatment and prevention, ultimately contributing to advancements in oncology and therapeutic methodologies.

 

Professional Contributions

Dr. Habiba Khan has made significant professional contributions to the field of cancer biology, particularly in the study of prostate cancer. With over seven years of research experience, her doctoral dissertation focused on the effects of phytochemicals on cancer cell proliferation and apoptosis, highlighting her commitment to exploring natural compounds for therapeutic use. Dr. Khan has authored several impactful publications in reputable journals, showcasing her findings on anti-cancer agents and molecular targets. Her work has earned her multiple awards, including recognition for the best oral presentation and research paper in 2024. In addition to her research, she has served as a visiting faculty member, imparting knowledge in molecular and human genetics to the next generation of scientists. Through her involvement in conferences and collaborations with esteemed institutions, Dr. Khan actively contributes to advancing cancer research, making her a notable figure in her field and an inspiration to aspiring researchers.

 

Conclusion

Dr. Habiba Khan stands out as an exemplary candidate for the Best Researcher Award due to her extensive background in cancer biology, particularly her focus on the effects of phytochemicals on prostate cancer cell lines. With over seven years of research experience, she has demonstrated proficiency in advanced techniques ranging from cell and tissue culture to molecular biology and biochemistry. Her impressive academic achievements, including multiple awards for her presentations and high-impact publications, reflect her commitment to excellence and innovation in her field. As a visiting faculty member, Dr. Habiba also showcases her ability to mentor and inspire the next generation of scientists. To further enhance her research profile, she could focus on expanding her publication scope, securing research funding, and increasing her outreach efforts. Overall, Dr. Khanā€™s remarkable contributions to science and her potential for future impact make her a deserving recipient of this prestigious award.

 

Publication Top Notes
    1. Structure based docking and biological evaluation towards exploring potential anti-cancerous and apoptotic activity of 6-Gingerol against human prostate carcinoma cells
      • Authors: Khan, H., Azad, I., Arif, Z., Kumar, S., Arshad, M.
      • Year: 2024
      • Citations: 2
    2. Synthesis, crystal structure analysis, computational modelling and evaluation of anti-cervical cancer activity of novel 1,5-dicyclooctyl thiocarbohydrazone
      • Authors: Shukla, S., Trivedi, P., Johnson, D., Banerjee, M., Bishnoi, A.
      • Year: 2024
      • Citations: 0
    3. Elucidating molecular and cellular targets and the antiprostate cancer potentials of promising phytochemicals: a review
      • Authors: Khan, H., Rais, J., Afzal, M., Arshad, M.
      • Year: 2023
      • Citations: 1
    4. The Role of Phytochemicals in Cancer Prevention: A Review with Emphasis on Baicalein, Fisetin, and Biochanin A
      • Authors: Rais, J., Khan, H., Arshad, M.
      • Year: 2023
      • Citations: 2

Smaai RADI | Environmental Science | Best Researcher Award

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Prof .Smaai RADI | Environmental Science | Best Researcher Award

Dean of the Faculty of Sciences, Faculty of Sciences Oujda, Morocco

Prof. Smaail Radi is a distinguished Moroccan academic, currently serving as the Dean of the Faculty of Sciences at Mohamed Premier University of Oujda. He holds a State Doctorate and a Ph.D. in chemistry and has published over 220 articles in top-tier international journals, earning him numerous awards, including the First Prize for Scientific Excellence at his university. Prof. Radi is also the Director of the Laboratory of Applied and Environmental Chemistry and has led various national and international research projects. He is recognized for his expertise, serving as an evaluator for institutions like the National Center for Scientific and Technical Research (CNRST) and Taibah University in Saudi Arabia. Beyond his contributions to chemistry, he has published works in Sufi studies and serves as a supervisor for numerous doctoral theses. His interdisciplinary approach and leadership make him a prominent figure in both scientific and educational communities.

 

Publication ProfilešŸ‘¤

Current Position

Prof. Smaail Radi currently holds the position of Dean of the Faculty of Sciences at Mohamed Premier University in Oujda, Morocco, a role he has held since 2018. In addition, he is the Director of the Laboratory of Applied and Environmental Chemistry, overseeing significant research activities in the field. Prof. Radi serves as an expert for Morocco’s National Center for Scientific and Technical Research (CNRST) and chairs the Scientific Research Commission at Mohamed Premier University. His influence extends beyond his home institution as he acts as an advisor and expert evaluator for academic bodies such as Taibah University in Saudi Arabia and various international scientific journals. His academic career, which began in 1993, includes visiting professorships at prestigious institutions, including the Catholic University of Louvain in Belgium. Prof. Radi’s leadership, extensive research contributions, and expertise in chemistry have positioned him as a prominent figure in the Moroccan and international scientific communities.

 

Previous Experience

Prof. Smaail Radi has an extensive academic and administrative background spanning over three decades. He began his career as a professor at Mohamed Premier University of Oujda in 1993 and has since taken on multiple leadership roles. Currently, he serves as Dean of the Faculty of Sciences in Oujda and Director of the Laboratory of Applied and Environmental Chemistry. He has been responsible for numerous national and international scientific research projects and collaborations. His expertise is recognized beyond Morocco, having held visiting professorships at the Catholic University of Louvain in Belgium (2015-2022) and serving as an accredited expert at Taibah University in Saudi Arabia. Prof. Radi has also made significant contributions as a supervisor of theses, editor-in-chief of scientific journals, and an advisor to the chemical industry. His extensive management experience includes directing various academic councils, research commissions, and university accreditation evaluations, making him a key figure in academic and research leadership.

 

Educational Background

Prof. Smaail Radi has a robust and diverse educational background rooted in Moroccoā€™s leading institutions. He earned his State Doctorate in Chemistry from Mohamed Premier University of Oujda in 1997, following his Doctorate from Cadi Ayyad University of Marrakech in 1993. His doctoral work laid the foundation for his extensive contributions to applied and environmental chemistry. Prior to this, Prof. Radi completed his Diploma of Advanced Studies (DEA) at Cadi Ayyad University in 1990, specializing in scientific research, after obtaining his Bachelor’s degree in 1989 from the same institution. His academic journey began with the Baccalaureate Diploma, which he achieved in 1985. This strong academic formation provided Prof. Radi with the critical skills and knowledge to pursue a career in both teaching and research, ultimately leading to his prestigious roles as a university professor, dean, and director of various scientific projects and laboratories.

 

Research Directions

Prof. Smaail Radiā€™s research is primarily focused on applied and environmental chemistry, with a strong emphasis on addressing contemporary challenges through scientific innovation. His work spans the development of novel materials and chemical processes aimed at environmental sustainability, such as waste treatment and pollution control. He is also deeply involved in the study of chemical interactions at the molecular level, which has implications for both industrial applications and academic research. Furthermore, Prof. Radi has explored interdisciplinary connections, including the intersection of chemistry with Sufi studies, demonstrating a unique approach to blending scientific inquiry with cultural and philosophical perspectives. His leadership in international scientific projects and his supervision of theses in collaboration with institutions like the Catholic University of Louvain highlight his commitment to advancing chemistry through collaboration and education. Prof. Radiā€™s research is characterized by both its practical applications in industry and its contributions to the academic understanding of complex chemical processes.

 

Professional Contributions

Prof. Smaail Radi has made significant contributions to the field of chemistry and academia, notably through his leadership as the Director of the Laboratory of Applied and Environmental Chemistry and as Dean of the Faculty of Sciences at Mohamed Premier University. He has published over 220 articles in leading Q1 international journals, cementing his reputation as a prolific researcher. His work extends beyond chemistry into interdisciplinary fields, including Sufi studies, reflecting his broad intellectual curiosity. Prof. Radi has received numerous prestigious awards, such as the First Prize for Scientific Excellence at Mohamed I University. He has served as an expert evaluator for multiple academic institutions and scientific journals, demonstrating his respected authority in scientific evaluation. In addition to his research, he has supervised numerous doctoral and master’s theses, contributing to the development of future scientists. His contributions extend internationally, with visiting professorships and collaborations across universities, further expanding his global scientific impact.

 

Conclusion

Prof. Smaail Radi is an outstanding candidate for the Best Researcher Award, with a remarkable record of over 220 international publications in top-tier scientific journals, extensive leadership in research projects, and a respected role as a professor and mentor. His contributions span both the natural sciences, particularly in chemistry, and interdisciplinary areas like Sufi studies, showcasing his diverse intellectual range. Prof. Radiā€™s numerous awards, such as the First Prize for Scientific Excellence, highlight the quality and impact of his work. His expertise is sought by prestigious institutions worldwide, reinforcing his standing as a leading figure in his field. While his research is highly esteemed in academic circles, expanding his public outreach and cross-disciplinary collaborations could further enhance his influence. Overall, Prof. Radiā€™s dedication, innovation, and leadership make him highly deserving of this prestigious recognition.

 

Publication Top Notes
    1. “Rapid and selective separation of heavy metal ions from aquatic medium using a bidentate functionalized hybrid material”
      • Authors: Oulmidi, A., Radi, S., Tighadouini, S., Rotaru, A., Garcia, Y.
      • Year: 2025
      • Citations: 0
    2. “Synthesis, structural characterizations, in vitro biological evaluation and computational investigations of pyrazole derivatives as potential antidiabetic and antioxidant agents”
      • Authors: Mortada, S., Karrouchi, K., Hamza, E.H., Masrar, A., Faouzi, M.E.A.
      • Year: 2024
      • Citations: 12
    3. “Progress in the modification of cellulose-based adsorbents for the removal of toxic heavy metal ions”
      • Authors: El Mahdaoui, A., Radi, S., Elidrissi, A., Neves, M.G.P.M.S., Moura, N.M.M.
      • Year: 2024
      • Citations: 0
    4. “Experimental and Computational Investigation of Novel Triazole-Pyrazole Derivative as a Synthetic Corrosion Inhibitor for M-Steel in 1.0M HCl”
      • Authors: Setti, N., Barrahi, A., Elyoussfi, A., Zarrouk, A., Dafali, A.
      • Year: 2024
      • Citations: 0
    5. “High Inhibition for a CoII Tetrazole Bi-pyrazole Dinuclear Complex against Fusarium Oxysporum f. sp. Albedinis”
      • Authors: Bahjou, Y., Radi, S., El Massaoudi, M., Wolff, M., Garcia, Y.
      • Year: 2024
      • Citations: 1
    6. “Synthesis, Crystal Structures, Genotoxicity, and Antifungal and Antibacterial Studies of Ni(II) and Cd(II) Pyrazole Amide Coordination Complexes”
      • Authors: El Mahdaoui, A., Radi, S., Draoui, Y., Robeyns, K., Garcia, Y.
      • Year: 2024
      • Citations: 1
    7. “Unexpected efficient one-pot synthesis, DFT calculations, and docking study of new 4-hydroxy-2H-chromen-2-one derivatives predicted to target SARS-CoV-2 spike protein”
      • Authors: Toubi, Y., Hakmaoui, Y., EL Ajlaoui, R., Lgaz, H., Hammouti, B.
      • Year: 2024
      • Citations: 3
    8. “New triazole-based coordination complexes as antitumor agents against triple negative breast cancer MDA-MB-468 cell line”
      • Authors: Draoui, Y., Radi, S., Bahjou, Y., Rotaru, A., Garcia, Y.
      • Year: 2023
      • Citations: 0
    9. “CuII Pyrazolyl-Benzimidazole Dinuclear Complexes with Remarkable Antioxidant Activity”
      • Authors: Chkirate, K., Ati, G.A., Karrouchi, K., Essassi, E.M., Garcia, Y.
      • Year: 2023
      • Citations: 2
    10. “Coordination Complexes Built from a Ditopic Triazole-Pyrazole Ligand with Antibacterial and Antifungal Performances”
      • Authors: Draoui, Y., Radi, S., El Massaoudi, M., Robeyns, K., Garcia, Y.
      • Year: 2023
      • Citations: 6

     

Syed Anwar | signal processing | Best Researcher Award

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Syed Anwar | signal processing | Best Researcher Award

Principal Investigator at Childrens National Hopsital, United States.

Syed Muhammad Anwar is a distinguished researcher in the fields of medical imaging, deep learning, and computer vision. He is currently a Principal Investigator at the Sheikh Zayed Institute for Pediatric Surgical Innovation at Childrenā€™s National Hospital in Washington, DC, and serves as an Associate Professor at George Washington University. With over two decades of academic and professional experience, Dr. Anwar has co-founded tech ventures and contributed significantly to cutting-edge research in machine learning and medical image analysis. His expertise spans across multiple countries and academic institutions, with an impressive h-index of 38 and over 6,800 citations. A prolific scholar and inventor, he has secured numerous grants and awards for his research contributions in both academia and industry, particularly in the development of healthcare technologies. His leadership roles in education, research, and industry highlight his commitment to innovation and interdisciplinary collaboration in emerging technology fields.

ProfilešŸ‘¤

Scopus

ORCID

EducationšŸ“

Dr. Anwar’s educational background showcases an impressive academic journey through prestigious institutions. He earned his PhD in Electronic and Electrical Engineering from the University of Sheffield, UK, in 2012, where his research focused on detecting neuronal fields using MR imaging. Prior to that, he obtained a distinction in his MS in Data Communications, also from the University of Sheffield. His undergraduate education was completed at the University of Engineering and Technology (UET), Taxila, where he graduated with honors in Computer Engineering, finishing with the second-highest percentage in his class. In 2019-2020, he was awarded a prestigious Fulbright Fellowship at the University of Central Florida, focusing on deep learning for medical image analysis. His diverse and interdisciplinary academic foundation, spanning engineering and medical technology, forms the basis of his expertise in cutting-edge research areas like artificial intelligence, machine learning, and medical image computing.

ExperiencešŸ‘Øā€šŸ«

Dr. Anwarā€™s career spans a wide array of academic and industry positions. Currently, he serves as Principal Investigator at Childrenā€™s National Hospital and Associate Professor at George Washington University. He was previously an Associate Professor at the University of Engineering and Technology, Taxila, where he held numerous administrative and advisory roles. He has also worked internationally, including as a Research Fellow at the University of Surrey, UK, and a Research Associate at the University of Central Florida, USA. Dr. Anwar has extensive experience in the tech industry, having co-founded several companies, including EcoEdge AI and Sense Digital Pvt. Ltd., where he served as CTO. His industrial roles have focused on deep learning, medical imaging, and healthcare solutions. Additionally, he has mentored entrepreneurs and served as an advisor at national incubation centers, underscoring his role as a bridge between academia and industry in technology and innovation.

Research InterestšŸ”¬Ā 

Dr. Anwar’s research interests are deeply rooted in medical image analysis, artificial intelligence, and deep learning. His work primarily focuses on utilizing deep learning models to improve medical diagnostics, especially in fields such as brain tumor segmentation, pediatric health, and cardiac health monitoring. He is particularly interested in applying machine learning techniques to enhance medical imaging technologies, exploring areas like brain-computer interfaces and wearable health technologies. His projects also delve into federated learning for medical imaging security and using AI to predict health outcomes, such as in sickle cell disease management. Throughout his career, Dr. Anwar has sought to bridge the gap between medical science and computational technology, aiming to create innovative, data-driven healthcare solutions. His interdisciplinary research has earned him international recognition, positioning him as a key figure in advancing AI-driven medical applications.

Awards and HonorsšŸ†

Dr. Anwar has received numerous prestigious awards and honors throughout his career. He was a Fulbright Fellow at the University of Central Florida, USA, where he focused on applying deep learning to medical image analysis. He has also been awarded several research grants, including a $220,000 seed grant from IGNITE for his work in fashion retrieval using deep learning and a $1200 grant from NVIDIA for hardware development. His contributions to academia have been widely recognized, with multiple travel grants awarded by the Higher Education Commission of Pakistan for presenting his research at international conferences. Additionally, Dr. Anwar has played a leading role in student mentorship, entrepreneurship, and incubation programs, where he has been recognized as a mentor at national incubation centers and the Pak-US Alumni Network. His leadership roles and innovative research projects have earned him a reputation for academic excellence and contribution to the global research community.

SkillsšŸ› ļø

Dr. Anwar possesses a robust set of technical and leadership skills. His core expertise lies in deep learning, medical image analysis, and artificial intelligence. He is proficient in applying machine learning algorithms to a variety of real-world problems, especially in healthcare technologies. His strong background in software and hardware engineering includes experience with EEG-based systems, brain-computer interfaces, and remote health monitoring. Additionally, Dr. Anwar is skilled in research design, grant writing, and project management, having secured significant funding for his projects. His entrepreneurial abilities are demonstrated through his co-founding of tech startups and his role as CTO, where he has led development teams in creating innovative AI solutions. He also excels in academic mentoring, having supervised multiple PhD students and contributed to curriculum development in machine learning and computer vision at universities.

Conclusion šŸ”Ā 

Dr. Syed Muhammad Anwar is a highly accomplished researcher whose contributions to medical image analysis, deep learning, and AI in healthcare make him a strong candidate for the Best Researcher Award. His distinguished career, which spans academia, industry, and entrepreneurial ventures, highlights his ability to blend research innovation with real-world applications. His extensive publication record, high citation count, and successful leadership in numerous research projects underscore his academic impact. Dr. Anwarā€™s interdisciplinary approach, combining engineering with healthcare solutions, and his ability to secure significant research funding demonstrate his excellence in research and innovation. With a deep commitment to advancing technology for medical applications, Dr. Anwarā€™s work continues to influence both academic research and the practical development of AI-driven healthcare systems.

Publication Top Notes

Title: BPMN extension evaluation for security requirements engineering framework
Authors: Zareen, S., Anwar, S.M.
Year: 2024
Citation Count: 1

Title: Development of a Modular Real-time Shared-control System for a Smart Wheelchair
Authors: Ramaraj, V., Paralikar, A., Lee, E.J., Anwar, S.M., Monfaredi, R.
Year: 2024
Citation Count: 0

Title: An automated framework for pediatric hip surveillance and severity assessment using radiographs
Authors: Lam, V.K., Fischer, E., Jawad, K., Cleary, K., Anwar, S.M.
Year: 2024
Citation Count: 0

Title: Quantitative Metrics for Benchmarking Medical Image Harmonization
Authors: Parida, A., Jiang, Z., Packer, R.J., Anwar, S.M., Linguraru, M.G.
Year: 2024
Citation Count: 0

Title: MR to CT Synthesis Using 3d Latent Diffusion
Authors: Tapp, A., Parida, A., Zhao, C., Anwar, S.M., Linguraru, M.G.
Year: 2024
Citation Count: 0

Title: Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning
Authors: Capellan-Martin, D., Parida, A., Gomez-Valverde, J.J., Ledesma-Carbayo, M.J., Anwar, S.M.
Year: 2024
Citation Count: 0

Title: Early prognostication of overall survival for pediatric diffuse midline gliomas using MRI radiomics and machine learning: A two-center study
Authors: Liu, X., Jiang, Z., Roth, H.R., Bornhorst, M., Linguraru, M.G.
Year: 2024
Citation Count: 0

Title: EEG-Based Emotion Recognition during Mobile Gameplay
Authors: Khan, S.H., Raheel, A., Majid, M., Anwar, S.M., Arsalan, A.
Year: 2024
Citation Count: 0

Title: CHILD FER: DOMAIN-AGNOSTIC FACIAL EXPRESSION RECOGNITION IN CHILDREN USING A SECONDARY IMAGE DIFFUSION MODEL
Authors: Lee, E., Lee, E.-J., Anwar, S.M., Yoo, S.B.
Year: 2024
Citation Count: 0

Title: Self-Supervised Learning for Seizure Classification using ECoG spectrograms
Authors: Lam, V., Oliugbo, C., Parida, A., Linguraru, M.G., Anwar, S.M.
Year: 2024
Citation Count: 0

Laxmi Rathour | Mathematics | Young Scientist Award

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Laxmi Rathour | Mathematics | Young Scientist Award

Research Scholar at National Institute of Technology Mizoram, India.

Laxmi Rathour is an emerging scholar in the field of mathematics, currently serving as a researcher at the National Institute of Technology (NIT), Mizoram. With a strong academic background and a focused research agenda, her expertise lies in both pure and applied mathematics, particularly in areas such as Multi-Attribute Decision Making (MADM), Multi-Criteria Decision Making (MCDM), and Nonlinear Analysis. She is actively involved in research, contributing to journals and collaborating internationally as a reviewer for prestigious publications like Mathematical Reviews (USA) and Zentralblatt Math (Germany). As she continues to pursue her Ph.D., Rathour is deeply engaged in advancing mathematical theory and its practical applications. Her research presence is growing on platforms such as SCOPUS and ResearchGate, and she is quickly establishing herself as a dedicated and impactful researcher in her field, making significant strides in her academic and professional career.

ProfilešŸ‘¤

Scopus

ORCID

EducationšŸ“

Laxmi Rathour holds a Masterā€™s degree in Mathematics from the Indira Gandhi National Tribal University in Amarkantak, Madhya Pradesh, India. She pursued her postgraduate studies from July 2019 to August 2021, during which she developed her foundational knowledge and research skills in various mathematical disciplines. Currently, she is furthering her academic pursuits by working toward a Ph.D., with a focus on advanced mathematical topics such as Meta Heuristic algorithms and Fractional Calculus. Her educational background has provided her with a strong grounding in both theoretical and applied aspects of mathematics, equipping her to explore complex mathematical problems. Rathourā€™s academic journey reflects her dedication to research and her desire to contribute new knowledge to the field of mathematics. Her ongoing Ph.D. studies are expected to deepen her expertise and enhance her impact as a researcher.

ExperiencešŸ‘Øā€šŸ«

Laxmi Rathour has been affiliated with the National Institute of Technology (NIT), Mizoram, since July 2023, where she serves as a researcher in the Department of Mathematics. Her role involves conducting research in specialized areas such as Multi-Objective Transportation Problems (MOTP) and Nonlinear Analysis. Prior to joining NIT, Rathour was actively involved in research during her masterā€™s studies at Indira Gandhi National Tribal University, where she began developing her interests in optimization and decision-making algorithms. Additionally, she has gained experience as a voluntary reviewer for international mathematical publications, enhancing her exposure to global academic standards. This role has provided her with valuable insights into current trends in mathematical research, as well as opportunities to engage with complex theoretical concepts and methodologies, which have contributed to her growth as a researcher.

Research InterestšŸ”¬Ā 

Laxmi Rathour’s research interests lie in a variety of mathematical disciplines, primarily focusing on applied and pure mathematics. Her areas of expertise include Multi-Attribute Decision Making (MADM), Multi-Criteria Decision Making (MCDM), and Multi-Objective Transportation Problems (MOTP), which are important in the context of optimization and decision-making processes. Additionally, she explores Fractional Calculus, Nonlinear Analysis, and Meta Heuristic algorithms. Rathourā€™s work in Fixed Point Theory and Approximation Theory contributes to solving complex mathematical models, with applications in both academic and real-world problems. Her research is oriented toward advancing mathematical theory while also seeking practical applications in optimization and decision-making, making her contributions valuable in a wide range of industries and scientific disciplines.

Awards and HonorsšŸ†

Though specific awards and honors are not explicitly listed, Laxmi Rathourā€™s academic achievements and professional engagements highlight her growing recognition in the field of mathematics. She has earned respect as a reviewer for leading mathematical journals, including Mathematical Reviews (USA) and Zentralblatt Math (Germany). These roles demonstrate her expertise and the recognition she has gained within the global mathematical community. In addition to her reviewer positions, Rathourā€™s research has been published in several national and international journals, further indicating her contributions to her field. As her career progresses, it is likely that she will continue to earn accolades for her research and academic achievements, solidifying her status as an accomplished mathematician.

SkillsšŸ› ļø

Laxmi Rathour possesses a diverse skill set that complements her research in mathematics. Her technical expertise includes proficiency in decision-making algorithms such as MADM and MCDM, as well as optimization techniques involving Multi-Objective Transportation Problems (MOTP). Additionally, she is skilled in using Meta Heuristic algorithms and advanced mathematical methods such as Fractional Calculus and Nonlinear Analysis. These skills are crucial for tackling complex mathematical problems, particularly in the areas of optimization and decision-making. Beyond her technical capabilities, Rathour also has strong analytical and problem-solving abilities, which are essential for conducting high-level research. Her role as a reviewer further underscores her critical thinking and editorial skills, making her a well-rounded researcher with both theoretical and applied mathematical expertise.

Conclusion šŸ”Ā 

Laxmi Rathour is a promising researcher in the field of mathematics, with a particular focus on decision-making algorithms, optimization, and advanced mathematical theories. Her academic journey, which began at Indira Gandhi National Tribal University and continues with her Ph.D. studies, reflects her dedication to expanding her knowledge and contributing to the global body of mathematical research. Her current role at the National Institute of Technology, Mizoram, allows her to further her research in specialized areas while also engaging with the broader academic community through publications and peer-review activities. As she continues to develop her skills and expertise, Rathour is poised to make significant contributions to both the theoretical and applied aspects of mathematics, positioning herself as an influential figure in the field.

Publication Top Notes

A simple and efficient preprocessing step for convex hull problem
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). A simple and efficient preprocessing step for convex hull problem. Discrete Mathematics, Algorithms and Applications. https://doi.org/10.1142/S179383092350091X

Tracing roots and linkages: Harnessing graph theory and social network analysis in genealogical research, based on the kin naming system
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). Tracing roots and linkages: Harnessing graph theory and social network analysis in genealogical research, based on the kin naming system. Discrete Mathematics, Algorithms and Applications. https://doi.org/10.1142/S1793830924500678

On r-dynamic k-coloring of ladder graph families
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). On r-dynamic k-coloring of ladder graph families. Discrete Mathematics, Algorithms and Applications. https://doi.org/10.1142/S1793830924500356

Duality under novel generalizations of the D-Type-I functions for multiple objective nonlinear programming problems
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). Duality under novel generalizations of the D-Type-I functions for multiple objective nonlinear programming problems. Scientific African. https://doi.org/10.1016/j.sciaf.2024.e02067

A Time-Sequential Probabilistic Hesitant Fuzzy Approach to a 3-Dimensional Green Transportation System
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). A Time-Sequential Probabilistic Hesitant Fuzzy Approach to a 3-Dimensional Green Transportation System. In book: Smart Green Innovations for Sustainable Development. https://doi.org/10.1007/978-3-031-56304-1_9

Generalized Rational Type Contraction and Fixed Point Theorems in Partially Ordered Metric Spaces
Author: Laxmi Rathour
Year: 2023
Citation: Rathour, L. (2023). Generalized Rational Type Contraction and Fixed Point Theorems in Partially Ordered Metric Spaces. Journal of Advances in Applied & Computational Mathematics. https://doi.org/10.15377/2409-5761.2023.10.13

Integration of Rational Functions
Author: Laxmi Rathour
Year: 2023
Citation: Rathour, L. (2023). Integration of Rational Functions. Journal of Multidisciplinary Applied Natural Science. https://doi.org/10.47352/jmans.2774-3047.186

Possible directions of increasing the efficiency of the health system through software development
Author: Laxmi Rathour
Year: 2023
Citation: Rathour, L. (2023). Possible directions of increasing the efficiency of the health system through software development. Brazilian Journal of Science. https://doi.org/10.14295/bjs.v3i1.450

A Newton-like Midpoint Method for Solving Equations in Banach Space
Author: Laxmi Rathour
Year: 2023
Citation: Rathour, L. (2023). A Newton-like Midpoint Method for Solving Equations in Banach Space. Foundations. https://doi.org/10.3390/foundations3020014

Coupled Fixed Point Theorems with Rational Type Contractive Condition via C-Class Functions and Inverse Ck-Class Functions
Author: Laxmi Rathour
Year: 2022
Citation: Rathour, L. (2022). Coupled Fixed Point Theorems with Rational Type Contractive Condition via C-Class Functions and Inverse Ck-Class Functions. Symmetry. https://doi.org/10.3390/sym14081663

 

Riaz Hussain | Computational Chemistry | Best Researcher Award

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Dr. Riaz Hussain | Computational Chemistry | Best Researcher Award

Associate Professor at University of Education Lahore, Pakistan

Dr. Riaz Hussain is an Associate Professor of Chemistry at the University of Education Lahore, D. G. Khan Campus, where he has been serving since May 2023. He holds a Ph.D. in Organic Chemistry from the International Center for Chemical and Biological Sciences, University of Karachi. Dr. Hussain has over seven years of research and teaching experience, specializing in Natural Product Chemistry and Synthetic Organic Chemistry. His expertise includes structure elucidation of natural products using advanced spectrometric techniques, particularly 1D and 2D NMR spectroscopy. Dr. Hussain has held research positions at esteemed institutions, including Queenā€™s University in Canada and the H.E.J. Research Institute of Chemistry in Karachi, contributing significantly to the field through innovative research in product development and synthesis of coordination complexes. He is a dedicated educator, passionate about motivating students and integrating chemistry with other life sciences.

ProfilešŸ‘¤

Education

Dr. Riaz Hussain holds a Ph.D. in Organic Chemistry from the International Center for Chemical and Biological Sciences at the H.E.J. Research Institute of Chemistry, University of Karachi, Pakistan, which he completed in 2013. His doctoral dissertation focused on “Phytochemical Investigations on the Constituents of Euphorbia thymifolia and Abutilon pakistanicum & Synthesis and Coordination of Phosphorus 1-Indenylide to Transition Metals.” He was mentored by distinguished advisors, including Prof. Dr. Abdul Malik (S.I.) and Prof. Dr. Michael C. Baird, Interim Head of the Department of Chemistry at Queenā€™s University, Kingston, Canada. Prior to his Ph.D., Dr. Hussain earned a Master of Science degree in Organic Chemistry from The Islamia University Bahawalpur, Pakistan, in 2005, where his dissertation was titled ā€œReduction of Nitroaromatic Compounds Using Hydrated Hydrazine in the Presence of Palladium-Charcoal (Pd/C) Catalyst.ā€ He completed his Bachelor of Science degree with a focus on Chemistry, Zoology, and Botany from Bahauddin Zakariya University, Multan, Pakistan, in 2003.

Professional Experience

Dr. Riaz Hussain is currently serving as an Associate Professor of Chemistry at the Department of Chemistry, University of Education Lahore, D.G. Khan Campus, a position he has held since May 30, 2023. His professional journey includes significant roles that reflect his expertise in natural product chemistry and synthetic organic chemistry. He previously worked as an R&D Chemist at Al Muqarram Insulation Material Industry in Sharjah, U.A.E., from May 2013 to January 2014, where he managed research projects focused on developing new products and improving existing formulations for various applications. Additionally, Dr. Hussain was a Research Fellow at the ICCBS, H.E.J. Research Institute of Chemistry, University of Karachi, from June 2011 to April 2013, concentrating on the isolation and characterization of natural products using advanced chromatographic and spectroscopic techniques. His experience as a Visiting Research Scholar at Queen’s University, Kingston, Canada, from June 2010 to May 2011, further enriched his research background, as he focused on the synthesis and NMR-based characterization of ruthenium coordination complexes. Earlier in his career, he held positions as a Junior Research Fellow and Research Assistant at the ICCBS, where he conducted extensive research on natural products. With over seven years of research and teaching experience, Dr. Hussain is recognized for his innovative approach to integrating chemistry with other life sciences disciplines.

Research Interests

Dr. Riaz Hussain’s research interests primarily lie in the fields of Natural Product Chemistry and Synthetic Organic Chemistry. He possesses extensive hands-on experience in the structure elucidation of natural products utilizing advanced spectrometric techniques, including 1D and 2D NMR spectroscopy. His expertise encompasses the operation of high-field NMR spectrometers (300MHz, 400MHz, 500MHz, and 600MHz) for running various experiments such as 1D 1^{1}H NMR, 13^{13}C NMR, proton-decoupled 31^{31}P NMR, and 2D techniques like COSY, NOESY, HMBC, HMQC, and HSQC. Dr. Hussain’s research also integrates synthetic methodologies with the study of natural products, allowing for innovative approaches to solving complex problems within the life sciences. His previous work includes isolating and characterizing natural products from plants such as Euphorbia thymifolia and Abutilon pakistanicum, as well as developing new synthetic routes for coordination complexes. This interdisciplinary focus positions him at the forefront of research aimed at enhancing the understanding and application of chemical compounds derived from natural sources.

Publication Top Notes

Designing Three-Dimensional (3D) Non-Fullerene Small Molecule Acceptors with Efficient Photovoltaic Parameters

  • Journal: ChemistrySelect
  • Volume: 3 (45), Pages: 12797-12804
  • Year: 2018
  • Citations: 154

First Principles Study of Electronic and Nonlinear Optical Properties of Aā€“Dā€“Ļ€ā€“A and Dā€“Aā€“Dā€“Ļ€ā€“A Configured Compounds Containing Novel Quinolineā€“Carbazole Derivatives

  • Journal: RSC Advances
  • Volume: 10 (37), Pages: 22273-22283
  • Year: 2020
  • Citations: 152

Designing N-Phenylaniline-Triazol Configured Donor Materials with Promising Optoelectronic Properties for High-Efficiency Solar Cells

  • Journal: Computational and Theoretical Chemistry
  • Volume: 1186, Article ID: 112908
  • Year: 2020
  • Citations: 145

Adsorption of Phosgene Gas on Pristine and Copper-Decorated B12N12 Nanocages: A Comparative DFT Study

  • Journal: ACS Omega
  • Volume: 5 (13), Pages: 7641-7650
  • Year: 2020
  • Citations: 144

Designing Triazatruxene-Based Donor Materials with Promising Photovoltaic Parameters for Organic Solar Cells

  • Journal: RSC Advances
  • Volume: 9 (45), Pages: 26402-26418
  • Year: 2019
  • Citations: 130

Conclusion

Dr. Riaz Hussain’s comprehensive experience in both academic and applied chemistry, alongside his innovative research contributions and leadership roles, underscore his candidacy for the Research for Best Researcher Award. His commitment to advancing the field of chemistry, along with his ability to inspire and educate future scientists, positions him as a significant asset to the academic community and the scientific research landscape. His work not only enhances the understanding of natural products but also bridges the gap between theoretical chemistry and practical applications in various industries.

Muhammad Nasir Abrar | Mathematics | Best Researcher Award

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Muhammad Nasir Abrar | Mathematics | Best Researcher Award

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

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

Publication ProfilešŸ‘¤

orcid

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.

Publication Top Notes

Entropy generation due to MHD Falknerā€“Skan flow of Casson fluid over a wedge: A numerical study

Non-Similar Analysis of Darcy-Forchheimer Flow of Ternary Hybrid Nanoparticles Over a Porous Stretching Sheet

Thermal Investigation of Micro-polar Tangent Hyperbolic Flow Using a Hybrid Nanofluid Approach

Numerical simulation of Cattaneoā€“Christov heat flux model in a porous media past a stretching sheet

Effect of Thermal Radiation on Conjugate Natural Convection Flow of a Micropolar Fluid along a Vertical Surface

Conclusion

Dr. Muhammad Nasir Abrarā€™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

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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:

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 ExperiencesĀ 

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 skillsĀ 

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 RecognitionĀ 

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
  1. 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. 532ā€“552
  2. 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. 520ā€“531
  3. 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
  4. 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
  5. 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
  6. 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