Shujaat Ali Shah | Analysis (Real, Complex, Functional) | Best Researcher Award

Assist. Prof. Dr. Shujaat Ali Shah | Analysis (Real, Complex, Functional) | Best Researcher Award

Assistant Professor at Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah, Pakistan

Dr. Shujaat Ali Shah is an accomplished researcher in Applied Mathematics, specializing in Complex Analysis, Geometric Function Theory, Special Functions, and Semigroup Theory. With over 16 years of academic experience, he serves as an Assistant Professor at Quaid-i-Awam University of Engineering, Science, and Technology, Nawabshah, Pakistan. He has published more than 30 peer-reviewed research papers in reputable journals such as Mathematics, AIMS Mathematics, and Turkish Journal of Mathematics, showcasing his expertise and commitment to advancing mathematical research. His work spans diverse areas, including fuzzy functions, q-calculus, and differential subordination, with significant international collaborations. Dr. Shah’s contributions to mathematical modeling and applied mathematics highlight his innovative approach. While his research impact is substantial, further engagement in high-impact publications, research grants, and global recognition could enhance his academic influence. His dedication and consistent research output position him as a strong candidate for prestigious research awards in mathematics.

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Education

Dr. Shujaat Ali Shah holds a Doctor of Philosophy (PhD) in Mathematics from COMSATS University Islamabad, where he conducted advanced research on linear operators in geometric function theory from 2016 to 2020. Prior to this, he earned his Master of Philosophy (M.Phil.) in Mathematics from Quaid-i-Azam University Islamabad (2009–2011), focusing on Γ-semigroups and their mathematical properties. His academic journey began with a Master of Science (M.Sc.) in Mathematics from the same institution (2006–2008), equipping him with a strong foundation in mathematical theories and analytical techniques. Through his studies, he specialized in complex analysis, geometric function theory, special functions, and semigroup theory, making significant contributions to these areas. His education has been instrumental in shaping his career as a dedicated researcher and professor, fostering a deep understanding of applied and theoretical mathematics while driving impactful research in the field.

Professional Experience

Dr. Shujaat Ali Shah is an accomplished academic with over 16 years of experience in teaching and research in mathematics. He currently serves as an Assistant Professor in the Department of Mathematics and Statistics at Quaid-i-Awam University of Engineering, Science, and Technology, Nawabshah, Pakistan. Previously, he worked as a Lecturer at the same institution and also held teaching positions at the Institute of Business Administration, Sukkur, and Govt. Degree College, Doulat Pur. His expertise spans Complex Analysis, Geometric Function Theory, Special Functions, and Semigroup Theory, contributing to both undergraduate and postgraduate education. Dr. Shah has actively participated in research supervision, curriculum development, and academic training programs, enhancing the learning experience for students. He has also attended ICT teaching training programs, demonstrating his commitment to professional growth. His extensive teaching career, coupled with his prolific research contributions, makes him a distinguished figure in the field of applied mathematics.

Research Interest

Dr. Shujaat Ali Shah’s research interests lie in the fields of Complex Analysis, Geometric Function Theory, Special Functions, and Semigroup Theory, with a strong focus on analytical methods and mathematical modeling. His work explores coefficient estimates, fuzzy functions, differential subordination, and convexity properties in function theory, contributing to the development of new mathematical frameworks. He has extensively investigated q-calculus, multiplier operators, and generalizations of close-to-convex functions, advancing knowledge in applied and theoretical mathematics. His research also extends to the study of harmonic functions, fuzzy differential equations, and analytic function subclasses, bridging pure and applied mathematical approaches. Through international collaborations and interdisciplinary studies, he continuously explores innovative methods to solve complex mathematical problems, particularly those relevant to engineering, physics, and computational sciences. With a robust publication record, Dr. Shah remains dedicated to expanding mathematical frontiers and fostering advancements in contemporary mathematical research.

Award and Honor

Dr. Shujaat Ali Shah is a distinguished researcher in applied mathematics, recognized for his significant contributions to complex analysis, geometric function theory, and special functions. With over 30 peer-reviewed publications in reputable journals such as Mathematics, AIMS Mathematics, and Turkish Journal of Mathematics, he has established himself as a leading academic in his field. His research collaborations span multiple countries, including Romania, Saudi Arabia, Egypt, and Spain, showcasing his global impact. Dr. Shah has been honored for his dedication to mathematical sciences through his role as an Assistant Professor at Quaid-i-Awam University and his extensive teaching and research experience of over 16 years. His scholarly work has earned him invitations to collaborate on international research projects, contributing to the advancement of applied mathematics. His recognition in academia continues to grow, solidifying his reputation as an influential mathematician dedicated to solving complex mathematical problems and mentoring future researchers.

Conclusion

Dr. Shujaat Ali Shah is a highly accomplished researcher in applied mathematics, with a strong focus on complex analysis, geometric function theory, and mathematical modeling. His extensive publication record in reputable international journals, coupled with collaborations across multiple countries, highlights his global research impact. With over 16 years of academic and research experience, he has consistently contributed to advancing mathematical knowledge through innovative studies on fuzzy functions, q-calculus, and differential subordination. While his research output and collaborations are commendable, further enhancing citation impact, securing research grants, and engaging in applied industrial projects could elevate his recognition to a higher level. His expertise, dedication, and consistent contributions make him a strong contender for the Best Researcher Award in Applied Mathematics. With a focus on expanding the real-world applications of his work and increasing scholarly influence, Dr. Shah has the potential to achieve even greater recognition in the global mathematical research community.

Publications Top Noted

  • Study on the q-analogue of a certain family of linear operators
    Authors: SA Shah, KI Noor
    Year: 2019
    Citations: 55

  • On fuzzy spiral-like functions associated with the family of linear operators
    Authors: AF Azzam, SA Shah, A Cătaș, LI Cotîrlă
    Year: 2023
    Citations: 10

  • On fuzzy differential subordination associated with q-difference operator
    Authors: SA Shah, EE Ali, A Catas, AM Albalahi
    Year: 2023
    Citations: 10

  • Inclusion results for the class of fuzzy α-convex functions
    Authors: SA Shah, EE Ali, AA Maitlo, T Abdeljawad, AM Albalahi
    Year: 2022
    Citations: 9

  • Fuzzy differential subordination and superordination results for q-analogue of multiplier transformation
    Authors: AA Lupas, SA Shah, LF Iambor
    Year: 2023
    Citations: 6

  • A Study of Spiral‐Like Harmonic Functions Associated with Quantum Calculus
    Authors: SA Shah, LI Cotirla, A Catas, C Dubau, G Cheregi
    Year: 2022
    Citations: 6

  • On q-Mocanu type functions associated with q-Ruscheweyh derivative operator
    Authors: KI Noor, SA Shah
    Year: 2020
    Citations: 6

  • Applications of q-calculus multiplier operators and subordination for the study of particular analytic function subclasses
    Authors: EE Ali, GI Oros, SA Shah, AM Albalahi
    Year: 2023
    Citations: 6

  • On new subclass of harmonic univalent functions associated with modified q-operator
    Authors: SA Shah, AA Maitlo, MA Soomro, KI Noor
    Year: 2021
    Citations: 4

  • On fuzzy differential subordination associated with -difference operator
    Authors: SA Shah, EE Ali, A Catas, AM Albalahi
    Year: 2023
    Citations: 4

  • Application of Srivastava-Attiya Operator to the Generalization of Mocanu Functions
    Authors: KI Noor, SA Shah
    Year: 2019
    Citations: 3

  • Study of the fuzzy q-spiral-like functions associated with the generalized linear operator
    Authors: AA Azzam, D Breaz, SA Shah, LI Cotirla
    Year: 2023
    Citations: 2

  • On generalized gamma-Bazilevic functions
    Authors: KI Noor, SA Shah, A Saliu
    Year: 2021
    Citations: 2

  • Study of the q-spiral-like functions of complex order
    Authors: KI Noor, SA Shah
    Year: 2021
    Citations: 2

  • On certain generalized Bazilevic type functions associated with conic regions
    Authors: KI Noor, SA Shah
    Year: 2020
    Citations: 2

  • Study of Generalized q‐Close‐to‐Convex Functions Related to Parabolic Domain
    Authors: KI Noor, AA Lupas, SA Shah, AM Sibih, S Abdel-Khalek
    Year: 2023
    Citations: 1

  • Some Inclusion and Radius Problems of Certain Subclasses of Analytic Functions
    Authors: KI Noor, M Kamran, SA Shah
    Year: 2021
    Citations: 1

  • Applications of certain operators to the classes of analytic functions related to the generalized Janowski functions
    Authors: KI Noor, SA Shah
    Year: 2020
    Citations: 1

Huaiqing Zuo | Pure Mathematics | Best Researcher Award

Prof. Huaiqing Zuo | Pure Mathematics | Best Researcher Award

Associate Head at Math. department of Tsinghua U, China

Dr. Huaiqing Zuo is a distinguished mathematician specializing in algebraic geometry and singularity theory. He earned his Ph.D. from the University of Illinois at Chicago in 2012, under the guidance of Stephen S.-T. Yau, with a dissertation on the coordinate-free characterization of isolated homogeneous singularities. Currently, Dr. Zuo serves as a professor in the Department of Mathematical Sciences at Tsinghua University, where he also holds leadership roles as Associate Head and Director of the Teaching Committee. His research has been widely recognized, earning him accolades such as the ICCM Best Paper Award Silver Award in 2017 and the Tsinghua University Faculty Excellence Award in 2023. Dr. Zuo has an extensive publication record, with numerous articles in high-impact journals, and has delivered invited talks at prestigious awards worldwide. His contributions have significantly advanced the understanding of isolated singularities and derivation Lie algebras, establishing him as a leading figure in his field.

Professional Profile 

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Education

Dr. Huaiqing Zuo’s educational journey reflects a profound dedication to mathematics. He earned his Bachelor of Arts in Pure Mathematics from Guangzhou University in 2002, graduating with high honors. He then pursued a Ph.D. in Pure Mathematics at East China Normal University, completing it in 2010. During this period, he was an exchange student at the University of Illinois at Chicago (UIC) from 2007 to 2008, collaborating with Professor Stephen S.-T. Yau. Following this, Dr. Zuo obtained a Master of Science in Pure Mathematics from UIC in 2010. He continued at UIC as a Ph.D. candidate in Pure Mathematics, focusing on algebraic geometry, singularity theory, and coding theory. Throughout his doctoral studies, he served as a teaching assistant for various calculus courses, further honing his expertise and pedagogical skills.

Professional Experience

Dr. Huaiqing Zuo is a distinguished mathematician specializing in algebraic geometry and singularity theory. He earned his Ph.D. in Pure Mathematics from the University of Illinois at Chicago in 2012, under the guidance of Professor Stephen S.-T. Yau. Following his doctoral studies, Dr. Zuo joined Tsinghua University, where he has progressed through academic ranks: Assistant Professor (2013–2018), Associate Professor (2018–2023), and currently serves as a Professor since June 2023. In addition to his research and teaching roles, he has held significant administrative positions, including Associate Head of the Department of Mathematical Sciences and Director of the Teaching Committee since April 2024. Dr. Zuo’s contributions to the field are evidenced by numerous publications in high-impact journals and invitations to speak at international awards. His work has been recognized with several awards, such as the ICCM Best Paper Award Silver Award in 2017 and the Tsinghua University Faculty Excellence Award in 2023. Beyond his research, Dr. Zuo is committed to academic leadership and mentorship, having supervised multiple doctoral theses and actively participating in the academic community at Tsinghua University.

Research Interest

Dr. Huaiqing Zuo’s research interests encompass both pure and applied mathematics, with a particular focus on singularity theory, algebraic geometry, and coding theory. His work in singularity theory involves the study of spaces that are not well-behaved, such as those with points where mathematical objects are not defined or are not smooth. In algebraic geometry, he investigates the properties of geometric structures that are defined as solutions to systems of polynomial equations. Additionally, Dr. Zuo has explored coding theory, which involves the design of error-correcting codes for reliable data transmission and storage. His diverse research portfolio reflects a commitment to advancing mathematical understanding across these interconnected domains.

Award and Honor

Dr. Huaiqing Zuo has been recognized for his exceptional contributions to mathematics through several prestigious awards and honors. In 2017, he received the ICCM Best Paper Award Silver Award, along with three Distinguished Paper Awards from the same institution, underscoring the high quality and impact of his research. His excellence in academia was further acknowledged by Tsinghua University, where he was honored with the Faculty Excellence Award in 2023 and named Excellent Doctoral Thesis Supervisor in 2024, reflecting his dedication to both research and mentorship. Additionally, Dr. Zuo’s work has garnered significant attention in the mathematical community, with multiple papers being listed among ESI’s Most Cited Papers in 2023 and an Editor’s Pick by the Journal of Mathematical Physics in the same year, highlighting the influence and relevance of his scholarly contributions.

Conclusion

Dr. Huaiqing Zuo is a distinguished mathematician specializing in algebraic geometry and singularity theory. He earned his Ph.D. from the University of Illinois at Chicago in 2012, under the guidance of Professor Stephen S.-T. Yau. Currently, Dr. Zuo serves as a professor in the Department of Mathematical Sciences at Tsinghua University, where he also holds leadership positions, including Associate Head and Director of the Teaching Committee. His research has been widely recognized, earning him accolades such as the ICCM Best Paper Award Silver Award in 2017 and the Tsinghua University Faculty Excellence Award in 2023. Dr. Zuo has delivered numerous invited talks at prestigious institutions and awards, reflecting his standing in the mathematical community. His extensive publication record includes articles in high-impact journals, underscoring his significant contributions to his field. Dr. Zuo’s blend of research excellence, leadership, and dedication to education positions him as a leading figure in contemporary mathematics.

Publications Top Noted

  • The weights of isolated curve singularities are determined by Hodge ideals
    • Authors: Yang Wang, Stephen Yau, Huaiqing Zuo
    • Year: 2025
    • Source: Pacific Journal of Mathematics (PJM)
  • Normal surface singularities of small degrees
    • Authors: Stephen Yau, Hao Zuo, Huaiqing Zuo
    • Year: 2024
    • Source: Journal of the Mathematical Society of Japan
  • On the Nakai conjecture for some singularities
    • Authors: Xiao Zida, Stephen Yau, Qiwei Zhu, Huaiqing Zuo
    • Year: 2024
    • Source: Annali della Scuola Normale Superiore di Pisa, Classe di Scienze
  • Spectrum and Hertling conjectures for trimodal singularities
    • Authors: Quan Shi, Yang Wang, Huaiqing Zuo
    • Year: 2024
    • Source: Proceedings of the Steklov Institute of Mathematics
  • Three-dimensional rational isolated complete intersection singularities
    • Authors: Bingyi Chen, Stephen Yau, Huaiqing Zuo
    • Year: 2023
    • Source: Handbook of Geometry and Topology of Singularities
  • Various derivation Lie algebras of isolated singularities
    • Authors: Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2023
    • Source: Handbook of Geometry and Topology of Singularities
  • Modules of differential operators of (k, s)-th Tjurina algebras of singularities
    • Authors: Siyong Tao, Huaiqing Zuo
    • Year: 2024
    • Source: Forum Mathematica
  • Recent results on non-existence of negative weight derivations for weighted homogeneous isolated singularities
    • Authors: Bingyi Chen, Hao Chen, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2022
    • Source: ICCM Notice
  • On jet closures of singularities
    • Authors: Yifan Chen, Huaiqing Zuo
    • Year: 2025
    • Source: Sbornik Mathematics
  • Three types of derivation Lie algebras of isolated hypersurface singularities
    • Authors: Naveed Hussain, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2025
    • Source: Rendiconti del Circolo Matematico di Palermo
  • On variation of complex structures and variation of new Lie algebras arising from singularities
    • Authors: Bingyi Chen, Naveed Hussain, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2024
    • Source: Proceedings of the 8th International Consortium of Chinese Mathematicians
  • On T-maps and ideals of antiderivatives of hypersurface singularities
    • Authors: Quan Shi, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2024
    • Source: Izvestiya: Mathematics
  • Hodge moduli algebras and complete invariants of singularities
    • Authors: Guorui Ma, Yang Wang, Stephen S.-T. Yau, Huaiqing Zuo
    • Year: 2024
    • Source: Asian Journal of Mathematics
  • A characterization and solvability of quasihomogeneous singularities
    • Authors: Guorui Ma, Stephen Yau, Qiwei Zhu, Huaiqing Zuo
    • Year: 2024
    • Source: Pacific Journal of Mathematics
  • Sharp lower estimations for invariants associated with the ideal of antiderivatives of singularities
    • Authors: Naveed Hussain, Quan Shi, Huaiqing Zuo
    • Year: 2024
    • Source: Bulletin of the Iranian Mathematical Society

 

 

Maryam Alkandari | Pure Mathematics | Best Researcher Award

Dr. Maryam Alkandari | Pure Mathematics | Best Researcher Award

 Associate Prof at Kuwait University, Kuwait

Dr. Maryam Mohammad Alkandari is an esteemed Associate Professor in the Department of Mathematics at Kuwait University, specializing in algebraic geometric coding theory, fractional calculus, and applied mathematics. She earned her Ph.D. from Imperial College London in 2003 and has since made significant contributions to mathematical research. With over 18 high-impact publications in renowned journals and a Springer Nature book, her work spans differential equations, operational calculus, and mathematical modeling. She has led seven major research projects, receiving multiple grants and awards. Dr. Alkandari is also dedicated to education, contributing to mathematics pedagogy and autism research. She has presented at international awards and collaborated on interdisciplinary projects. Her research continues to influence pure and applied mathematics, with potential for industrial applications. With a strong academic foundation and impactful contributions, she stands as a leading researcher in her field, making her an excellent candidate for prestigious research awards.

Professional Profile 

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Education

Dr. Maryam Mohammad Alkandari holds a Ph.D. in Algebraic Geometric Coding Theory from Imperial College London, UK, awarded in 2003. Alongside her doctorate, she earned a Diploma in Algebra from Imperial College the same year. She previously completed her M.S. in Pure Mathematics in 1997 and a B.S. in Mathematics in 1994, both from Kuwait University. Her doctoral research, titled “Decoding Partial Geometric Codes,” focused on advanced algebraic structures and coding theory, demonstrating her expertise in mathematical problem-solving. Over the years, she has expanded her research into applied mathematics, fractional calculus, and mathematical modeling. With a strong foundation in pure and applied mathematics, Dr. Alkandari has significantly contributed to her field through research, teaching, and mentorship. Her academic journey reflects a commitment to innovation, interdisciplinary studies, and advancing mathematical knowledge in both theoretical and practical applications.

Professional Experience

Dr. Maryam Mohammad Alkandari is an accomplished mathematician and Associate Professor at Kuwait University with over two decades of academic and research experience. She specializes in applied mathematics, algebraic geometric coding theory, and fractional calculus. Since earning her Ph.D. from Imperial College London in 2003, she has held key academic positions, contributing significantly to mathematical research and education. As a principal investigator, she has led multiple funded projects, including studies on fractional calculus, operational methods, and mathematical modeling. Dr. Alkandari has published extensively in high-impact journals and authored a book with Springer Nature Switzerland. She actively participates in international awards and collaborates on interdisciplinary research, including mathematics education and autism studies. Her mentorship, leadership in research, and commitment to advancing mathematical sciences have earned her prestigious grants and recognition. Dr. Alkandari continues to push the boundaries of mathematical applications, making significant contributions to both academia and industry.

Research Interest

Dr. Maryam Mohammad Alkandari’s research interests lie in applied mathematics, fractional calculus, algebraic geometric coding theory, and differential equations, with a strong focus on both theoretical advancements and practical applications. Her work extensively explores operational calculus, algebraic structures, and numerical methods for solving complex mathematical problems. She has made significant contributions to fractional differential equations, oscillation theory, and integral transforms, with applications in engineering, physics, and mathematical modeling. Dr. Alkandari is also interested in mathematics education and pedagogical approaches, particularly the integration of technology in learning and teaching methodologies. Her interdisciplinary research extends to mathematical models in autism education, demonstrating the societal impact of her work. Additionally, she is involved in research projects that explore novel mathematical techniques in oil production and refining. Through her prolific publications, funded research projects, and international collaborations, Dr. Alkandari continues to push the boundaries of applied mathematics and its real-world applications.

Award and Honor

Dr. Maryam Mohammad Alkandari has received numerous awards and honors in recognition of her outstanding contributions to applied mathematics, fractional calculus, and algebraic geometric coding theory. She has been the Principal Investigator (PI) on seven major research projects funded by Kuwait University, including groundbreaking studies on operational methods in fractional calculus and mathematical modeling in oil production. Her excellence in research has been acknowledged through multiple grant awards, including the prestigious Project Award for Operational Method in Fractional Calculus (SM01/17, SM01/20). Additionally, she has been honored with unfunded rewarded papers from Kuwait University’s Research Sector, highlighting her influential publications in top-tier journals. Dr. Alkandari has presented her work at international awards in Turkey, Taiwan, and Kuwait, further solidifying her global academic reputation. With her extensive contributions to research, education, and mentorship, she continues to be a leading figure in applied mathematics, earning well-deserved recognition and respect in the field.

Conclusion

Dr. Maryam Mohammad Alkandari is an accomplished researcher and academic in applied mathematics, specializing in algebraic geometric coding theory, fractional calculus, and differential equations. With a Ph.D. from Imperial College London and over two decades of experience at Kuwait University, she has made significant contributions through numerous high-impact publications, funded research projects, and international award presentations. Her work spans theoretical advancements and practical applications, including innovative mathematical methods in education and autism research. Recognized with multiple research grants and awards, she has demonstrated leadership in interdisciplinary studies and academic mentorship. While her research impact is commendable, further international collaborations, industry applications, and editorial leadership could elevate her global influence. Dr. Alkandari’s dedication to advancing mathematical sciences and her contributions to education make her a strong candidate for prestigious research awards, positioning her as a leading figure in applied mathematics with the potential to make lasting global contributions.

Publications Top Noted

  • Operational Calculus for the General Fractional Derivatives of Arbitrary Order
    • Authors: M. Al-Kandari, L.A.M. Hanna, Y. Luchko
    • Year: 2022
    • Citations: 18
  • Operational Method for Solving Fractional Differential Equations with the Left-and Right-Hand Sided Erdélyi-Kober Fractional Derivatives
    • Authors: L.A.M. Hanna, M. Al-Kandari, Y. Luchko
    • Year: 2020
    • Citations: 16
  • A Fuzzy-Statistical Tolerance Interval from Residuals of Crisp Linear Regression Models
    • Authors: M. Al-Kandari, K. Adjenughwure, K. Papadopoulos
    • Year: 2020
    • Citations: 13
  • Half-Linear Differential Equations of Fourth Order: Oscillation Criteria of Solutions
    • Authors: O. Bazighifan, K.S. Al-Ghafri, M. Al-Kandari, F. Ghanim, F. Mofarreh
    • Year: 2022
    • Citations: 7
  • Delay Differential Equations of Fourth-Order: Oscillation and Asymptotic Properties of Solutions
    • Authors: O. Bazighifan, M. Al-Kandari, K.S. Al-Ghafri, F. Ghanim, S. Askar, G.I. Oros
    • Year: 2021
    • Citations: 7
  • Calculus 1 College Students’ Concept of Function
    • Authors: A.H. Alajmi, M.M. Al-Kandari
    • Year: 2022
    • Citations: 5
  • New Criteria for Oscillation of Half-Linear Differential Equations with p-Laplacian-like Operators
    • Authors: O. Bazighifan, F. Ghanim, J. Awrejcewicz, K.S. Al-Ghafri, M. Al-Kandari
    • Year: 2021
    • Citations: 4
  • Enhancing Kuwaiti Teachers’ Technology-Assisted Mathematics Teaching Practices
    • Authors: M. Soliman, Z. Lavicza, T. Prodromou, M. Al-Kandari, T. Houghton
    • Year: 2019
    • Citations: 4
  • Some Oscillation Results for Even-Order Differential Equations with Neutral Term
    • Authors: M. Al-Kandari, O. Bazighifan
    • Year: 2021
    • Citations: 3
  • On an Extension of the Mikusiński Type Operational Calculus for the Caputo Fractional Derivative
    • Authors: M. Al-Kandari, L.A.M. Hanna, Y. Luchko
    • Year: 2021
    • Citations: 3
  • A Convolution Family in the Dimovski Sense for the Composed Erdélyi-Kober Fractional Integrals
    • Authors: M. Al-Kandari, L.A.M. Hanna, Y.F. Luchko
    • Year: 2019
    • Citations: 3
  • Operational Calculus for the 1st Level General Fractional Derivatives and its Applications
    • Authors: M. Al-Kandari, Y. Luchko
    • Year: 2024
    • Citations: 2
  • A New Modification of an Iterative Method Based on Inverse Polynomial for Solving Cauchy Problems
    • Authors: A.H. Ali, O. Alabdali, M.T. Yaseen, M. Al-Kandari, O. Bazighifan
    • Year: 2023
    • Citations: 1

 

 

Muhammad Nasim Aftab | Applied Mathematics | Best Researcher Award

Prof. Muhammad Nasim Aftab | Applied Mathematics | Best Researcher Award

Lecturer at Punjab group of colleges, Okara campus Pakistan

Muhammad Nasim Aftab is a dedicated mathematician and researcher specializing in Quantum Calculus, Integral Inequalities, and Algebra. He holds an MS in Mathematics from COMSATS University, Lahore, with a GPA of 3.62/4.00, and an M.Sc. in Mathematics from University of Education, Lahore. His research contributions include multiple publications in reputed journals, such as AIMS Mathematics, Mathematics, and the Journal of Inequalities and Applications, with several additional manuscripts under review. He has been a lecturer at Punjab Group of Colleges, Okara Campus, since 2014, teaching a wide range of mathematical subjects. His expertise extends to LaTeX, MATLAB, and Python, enhancing his computational research skills. Passionate about academia, he actively engages in problem-solving and mathematical innovations. While his work is commendable, furthering international collaborations, high-impact journal publications, and award participation could elevate his research impact. His dedication to mathematics and education makes him a strong contender for research excellence awards.

Professional Profile 

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Education

Muhammad Nasim Aftab holds a strong academic background in Mathematics, with both MS and MSc degrees in the field. He earned his Master of Science (MSc) in Mathematics from the University of Education, Lahore (Okara Campus) in 2016, securing a 3.40/4.00 GPA. His coursework covered advanced topics, including Real Analysis, Complex Analysis, Functional Analysis, Numerical Analysis, Differential Geometry, and Graph Theory. Pursuing further specialization, he completed his MS in Mathematics from COMSATS University, Islamabad (Lahore Campus) in 2021, achieving a 3.62/4.00 GPA. His MS thesis, titled “Cohen-Macaulayness in Codimension for Line Simplicial Complexes,” focused on algebraic and combinatorial aspects of simplicial complexes. Throughout his education, he excelled in subjects like Graph Theory, Fuzzy Logic, Fixed Point Theory, Mathematical Analysis, and Topology. His academic journey reflects a deep commitment to mathematical research, analytical thinking, and problem-solving, making him a strong researcher in the field.

Professional Experience

Muhammad Nasim Aftab has been serving as a Lecturer in Mathematics at Punjab Group of Colleges, Okara Campus, since 2014, where he has taught a diverse range of mathematical subjects, including Calculus, Abstract Algebra, Linear Algebra, Graph Theory, Number Theory, Differential Equations, and Mathematical Analysis. His extensive teaching experience spans both undergraduate and intermediate levels, reflecting his strong command over mathematical concepts and pedagogy. In addition to his teaching responsibilities, he has been actively engaged in research, publishing papers in reputed journals on topics such as Quantum Calculus, Integral Inequalities, and Algebra. His ability to integrate advanced mathematical theories with real-world applications showcases his expertise and dedication to the field. Furthermore, his proficiency in LaTeX, MATLAB, and Python enhances his ability to conduct numerical simulations and research-driven computations. His commitment to academia, research, and innovation makes him a valuable contributor to the field of mathematics.

Research Interest

Muhammad Nasim Aftab’s research interests lie in the fields of Quantum Calculus, Integral Inequalities, Algebra, and Graph Theory, with a strong focus on Symmetric Quantum Calculus and its Applications. His work explores Cohen-Macaulayness in Codimension for Line Simplicial Complexes, advancing algebraic topology and combinatorial mathematics. He is particularly interested in developing new mathematical inequalities in quantum and post-quantum settings, contributing to the theoretical foundations of applied mathematics. His recent research on symmetric Hahn calculus, Z-transforms in quantum calculus, and post-quantum integral inequalities highlights his dedication to expanding mathematical frameworks. Additionally, he is keen on exploring the interplay between advanced algebraic structures and real-world applications, particularly in optimization, numerical analysis, and cryptographic systems. With a strong background in functional analysis, topology, and differential geometry, he aims to contribute innovative solutions to complex mathematical problems while fostering interdisciplinary research collaborations.

Award and Honor

Muhammad Nasim Aftab has demonstrated exceptional dedication to the field of Mathematics, earning recognition for his contributions to Quantum Calculus, Integral Inequalities, and Algebra. As a lecturer at Punjab Group of Colleges, he has played a pivotal role in shaping young mathematical minds. His academic excellence, reflected in his MS in Mathematics with a 3.62/4.00 GPA from COMSATS University, has laid a strong foundation for his research career. His contributions to high-impact journals such as AIMS Mathematics, Mathematics, and the Journal of Inequalities and Applications highlight his research prowess, while multiple manuscripts under review further demonstrate his active engagement in advancing mathematical knowledge. Under the mentorship of Dr. Saad Ihsan Butt, he has published groundbreaking work on symmetric quantum inequalities. His proficiency in LaTeX, MATLAB, and Python adds a computational edge to his expertise. With a strong research portfolio and commitment to academia, he is a deserving candidate for prestigious awards and honors.

Conclusion

Muhammad Nasim Aftab is a dedicated researcher in mathematics with a strong academic background, evidenced by his MS in Mathematics from COMSATS University and a commendable research portfolio in Quantum Calculus, Integral Inequalities, and Graph Theory. His publications in reputable journals, along with multiple submitted manuscripts, highlight his commitment to advancing mathematical sciences. As a lecturer at Punjab Group of Colleges since 2014, he has significantly contributed to mathematics education, shaping the next generation of scholars. His proficiency in LaTeX, MATLAB, and Python enhances his computational research capabilities. While his research contributions are impressive, expanding collaborations, targeting high-impact journals, and increasing participation in international awards could further solidify his reputation. Pursuing a Ph.D. would also elevate his expertise and professional standing. Overall, his dedication to mathematical research and education makes him a strong candidate for recognition, and he holds great potential for further contributions to the field.

Publications Top Noted

  • Title: Some Hermite-Hadamard and Midpoint Type Inequalities in Symmetric Quantum Calculus
    • Authors: S.I. Butt, M.N. Aftab, H.A. Nabwey, S. Etemad
    • Year: 2024
    • Citations: 5
  • Title: Symmetric Quantum Inequalities on Finite Rectangular Plane
    • Authors: S.I. Butt, M.N. Aftab, Y. Seol
    • Year: 2024
    • Citations: 3
  • Title: Novel Notions of Symmetric Hahn Calculus and Related Inequalities
    • Authors: S.I. Butt, M.N. Aftab, A. Fahad, Y. Wang, B.B. Mohsin
    • Year: 2024
  • Title: Cohen-Macaulayness in Codimension for Line Simplicial Complexes
    • Authors: M.N. Aftab
    • Year: 2021

 

 

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

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

 Assistant Professor at Shri Lemdeo Patil Mahavidyalaya, Mandhal India

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

Professional Profile 

Scopus Profile
ORCID Profile 

Education

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

Professional Experience

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

Research Interest

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

Award and Honor

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

Conclusion

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

Publications Top Noted

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

B. Meenakshi Sundaram | Computational Mathematics | Best Researcher Award

Dr. B. Meenakshi Sundaram | Computational Mathematics | Best Researcher Award

Professor at T. John Group of Institutions India

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with over 25 years of experience in teaching, research, and administration across India and the UAE. He has made significant contributions to computer science, specializing in machine learning, IoT, cloud security, and semantic web mining. With 25+ publications in SCOPUS and IEEE-indexed journals and presentations at 20+ international awards, his research has garnered global recognition. He actively supervises PhD scholars and has mentored over 100 undergraduate and postgraduate research projects. As a curriculum developer, he has aligned academic programs with national and international standards. He holds key research identifiers, including a Scopus ID and an h-index of 4. His expertise extends to industry collaborations, technical writing, and consultancy services. While enhancing high-impact research and funded projects could further strengthen his profile, his vast academic and research contributions make him a strong contender for the Best Researcher Award.

Professional Profile:

Google Scholar
ORCID Profile 

Education:

Prof. Dr. B. Meenakshi Sundaram holds a Ph.D. in Computer Science from Bharathiar University, Coimbatore (2017), showcasing his expertise in advanced computing research. He earned his M.Tech in Information Technology (2009) from Manonmaniam Sundaranar University, securing First Class with Distinction. His academic journey began with a B.Sc. in Physics with Electronics (1996) and an M.Sc. in Computer Science (1998), both from Madurai Kamaraj University, where he excelled with distinction. Additionally, he pursued an M.Phil in Computer Science (2006) to deepen his research acumen. Beyond formal degrees, he has completed specialized professional certifications, including NPTEL courses from IIT Kharagpur and IIT Madras, as well as industry-relevant training from Infosys, Wipro, and IBM. His diverse educational background, spanning core science, engineering, and computing disciplines, has enabled him to make significant contributions to academia, research, and curriculum development at both national and international levels.

Professional Experience:

Prof. Dr. B. Meenakshi Sundaram has over 25 years of extensive experience in teaching, research, and academic administration across India and the UAE. He has served as a Professor, Associate Professor, Academic Program Manager, and Exam Controller at prestigious institutions, including New Horizon College of Engineering, Karunya University, and Syscoms College, Abu Dhabi. His expertise lies in curriculum development, faculty enrichment, industry-academic collaboration, and research supervision. He has played a key role in designing and aligning Bachelors and Masters programs with national and international accreditation standards. As a researcher, he has supervised PhD scholars, guided 100+ postgraduate and undergraduate research projects, and published 25+ research papers in SCOPUS and IEEE-indexed journals. He has also been actively involved in consultancy services, technical writing, and faculty training programs. With a strong commitment to academic excellence, he continues to contribute to cutting-edge research in computer science, artificial intelligence, and cloud computing.

Research Interest:

Prof. Dr. B. Meenakshi Sundaram’s research interests encompass a wide range of cutting-edge areas in computer science, artificial intelligence, and cybersecurity. His work primarily focuses on semantic web mining, machine learning, IoT, cloud security, and data analytics, addressing critical challenges in intelligent systems and computational frameworks. He has made significant contributions to ontology-based information retrieval, cloud integration, and security frameworks, with an emphasis on developing efficient and scalable solutions for real-world applications. His research also extends to imbalanced data classification, deep learning, and digital innovation in education, exploring novel methodologies to enhance computational intelligence and cybersecurity mechanisms. With a strong commitment to interdisciplinary research, he actively engages in AI-driven enterprise security, intelligent decision-making systems, and web service optimizations, aiming to bridge the gap between academia and industry. His research efforts contribute to advancing smart computing, digital transformation, and next-generation AI technologies.

Award and Honor:

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with a remarkable career spanning over 25 years in teaching, research, and administration. His contributions to computer science, particularly in machine learning, IoT, cloud security, and semantic web mining, have earned him recognition in national and international forums. He has published 25+ research papers in reputed SCOPUS and IEEE-indexed journals, presented at 20+ awards, and actively mentors PhD scholars and postgraduate students. As a professional member of IEEE and Institution of Engineers (India), he has contributed to global research collaborations and curriculum development initiatives. He has received certifications from IIT Madras, IIT Kharagpur, and other reputed institutions, further showcasing his dedication to academic excellence. His significant contributions to academia, research supervision, and international collaborations make him a highly deserving candidate for prestigious awards in research and innovation.

Conclusion:

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with 25 years of experience in teaching, research, and administration. His extensive contributions to computer science, particularly in semantic web mining, IoT, and cloud security, are reflected in his 25+ publications in reputed journals, including SCOPUS and IEEE-indexed papers. As a mentor, he has guided numerous research scholars and postgraduate students, fostering academic excellence. His involvement in curriculum development, international collaborations, and industry-academia partnerships further solidifies his impact on higher education. While his research credentials are strong, expanding high-impact publications, securing funded projects, and increasing citation metrics can enhance his global research standing. Nevertheless, his academic leadership, interdisciplinary research, and commitment to knowledge dissemination make him a highly deserving candidate for the Best Researcher Award. His dedication to innovation and scholarly excellence continues to shape the future of computing and technology-driven education.

Publications Top Noted:

  • Face recognition based automated remote proctoring platform
    • Authors: N Sasikala, BM Sundaram, VN Kumar, J Sumanth, S Hrithik
    • Year: 2022
    • Citations: 7
  • Survey of latest technologies on Decentralized applications using Blockchain
    • Authors: N Sasikala, BM Sundaram, S Biswas, AS Nikhil, VS Rohith
    • Year: 2022
    • Citations: 6
  • Disaster relief compensation computational framework
    • Authors: BM Sundaram, B Rajalakshmi, BA Singh, RS Kumar, R Arsha
    • Year: 2022
    • Citations: 6
  • More Accurate Organ Recipient Identification Using Survey Informatics of New Age Technologies
    • Authors: BM Sundaram
    • Year: 2021
    • Citations: 6
  • Fall detection among elderly using deep learning
    • Authors: BM Sundaram, B Rajalakshmi, RK Mandal, S Nair, SS Choudhary
    • Year: 2023
    • Citations: 4
  • An Analysis on Security Threats in Cloud Computing
    • Authors: AP Nirmala, R Prema, BM Sundaram
    • Year: 2019
    • Citations: 4
  • A Roadmap to Application Integration using IoT Cloud Platform
    • Authors: DT Dr. BM Sundaram
    • Year: 2020
    • Citations: 3
  • Cross Domain Composition of Web Service Workflows using a Provenance Ontology with an automated Re-planning
    • Authors: BM Sundaram, D Manimegalai
    • Year: 2015
    • Citations: 3
  • Semantic Interoperable EHR mapping with syndromic surveillance to anticipate regional outbreak
    • Authors: BM Sundaram
    • Year: 2020
    • Citations: 2
  • Fuzzy-XDDS: A Fuzzy Based Cross-Domain Services Matchmaker for Semantic Web Services
    • Authors: BM Sundaram, D Manimegalai
    • Year: 2015
    • Citations: 2
  • AirGuard AI: Revolutionizing Air Cargo Inspection through Pygame and YOLOv8 Simulation
    • Authors: BM Sundaram, B Rajalakshmi, A Saxena, B Vasumati
    • Year: 2024
    • Citations: 1
  • Deep learning implemented communication system for the auditory and verbally challenged
    • Authors: B Chempavathy, BM Sundaram, A Shaynam, A Goswami, S Bindya
    • Year: 2023
    • Citations: 1
  • Malware Exposed: An In-Depth Analysis of its Behavior and Threats
    • Authors: C Anand, S Korada, S Raksha, BM Sundaram, B Rajalakshmi
    • Year: 2023
    • Citations: 1
  • Modeling crime prediction using ML
    • Authors: BM Sundaram, B Rajalakshmi, B Anusha, MK Bindu, BL Keerthi
    • Year: 2022
    • Citations: 1
  • Cardiovascular disease detection using machine learning-a survey
    • Authors: BM Sundaram, B Rajalakshmi, Eshwar, Tanith, L Emmanuel
    • Year: 2022
    • Citations: 1
  • A holistic redesign of web elements using CATWOE analysis
    • Authors: R Jayakumar, BM Sundaram, MA Sankaridevi
    • Year: 2019
    • Citations: 1
  • Dual Tree Complex Wavelet based Regularized Deconvolution for Medical Images
    • Authors: R Murugesan, V Thavavel, BM Sundaram
    • Year: 2007
    • Citations: 1
  • Smart City Traffic Management
    • Authors: BM Sundaram, JG Chowdary, R Gonela, B Rajalakshmi
    • Year: 2024
    • Citations: 1
  • Retinal Authentication for E-Voting
    • Authors: LS Hanne, BM Sundaram, M Rakshitha, V Kishore, A Meenakshi
    • Year: 2024
    • Citations: 1
  • DRS-UNET: A Deep Learning Approach for Diabetic Retinopathy Detection and Segmentation from Fundus Images
    • Authors: RS Gound, BM Sundaram, SK BV, PA Azmat, MNU Habib, A Garg
    • Year: 2023
    • Citations: 1