Arnulfo Luévanos Rojas | Mathematical Engineering | Mathematical Engineering Excellence Award

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Dr. Arnulfo Luévanos Rojas | Mathematical Engineering | Mathematical Engineering Excellence Award

Professor and Researcher at Universidad Autónoma de Coahuila, Mexico

Dr. Arnulfo Luévanos Rojas is a distinguished professor and researcher at Universidad Autónoma de Coahuila, with over 40 years of academic and research experience in mathematical engineering. Holding a PhD in Engineering with a specialization in Planning and Construction Systems, he has made significant contributions to mathematical modeling in structural engineering. He has authored 141 journal articles, 10 books, and served as a guest editor for Mathematics, with an h-index of 20 and over 1,186 citations. His groundbreaking research on beam and footing models has optimized structural design, minimizing cost and improving efficiency. Recognized with prestigious awards such as the Researcher of the Year and inclusion in the World’s Top 2% Scientists List, he has supervised 24 PhD theses and led multiple consultancy projects. His extensive collaborations in international journals and committees further underscore his influence, making him a leading figure in applied and computational mathematics within engineering.

Professional Profile 

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Education

Dr. Arnulfo Luévanos Rojas holds an extensive academic background in engineering and applied mathematics. He earned a degree in Civil Engineering, followed by a Master of Science specializing in Planning and Construction of Works. Further enhancing his expertise, he completed a Master’s in Administration and a specialization in Structural Engineering. His academic journey culminated with a PhD in Engineering, focusing on Planning and Construction Systems, which laid the foundation for his groundbreaking research in mathematical modeling and structural optimization. His multidisciplinary education has equipped him with the knowledge to integrate mathematical theories with real-world engineering applications, particularly in designing efficient and cost-effective structural models. His diverse academic training has enabled him to bridge the gap between engineering practice and advanced mathematical methodologies, making significant contributions to the field of mathematical engineering.

Professional Experience

Dr. Luévanos Rojas has over four decades of academic and research experience in engineering and applied mathematics. He began his teaching career in 1983 and served as a professor until 2006. From 2006 to 2014, he was a professor and researcher at Universidad Juárez del Estado de Durango, where he contributed to engineering education and research. Since 2015, he has been a professor and researcher at Universidad Autónoma de Coahuila, where he continues to make significant advancements in mathematical engineering. Over the years, he has supervised 24 PhD, 17 Master’s, and 24 Bachelor’s theses, demonstrating his strong mentorship and academic leadership. Additionally, he has contributed to four consultancy projects, collaborating with industry partners to apply his mathematical models to real-world engineering problems. His professional experience reflects a commitment to advancing engineering through applied mathematics, research, and education.

Research Interest

Dr. Luévanos Rojas specializes in mathematical models, applied and computational mathematics, optimization methods, and engineering applications. His research focuses on developing innovative mathematical models for structural components, such as beams and footings, considering both bending and shear deformations to enhance structural integrity and cost efficiency. His work addresses critical challenges in engineering by introducing precise and optimized modeling techniques, reducing dependency on trial-and-error methods. Additionally, his research extends to applied mathematics, where he develops advanced computational techniques for structural analysis. His contributions in optimization methods ensure the efficient use of materials and resources in construction projects. Through international collaborations and editorial roles, he continues to advance research in mathematical engineering, integrating computational approaches and theoretical advancements to improve real-world engineering applications.

Awards and Honors

Dr. Luévanos Rojas has received numerous prestigious awards recognizing his outstanding contributions to research and engineering. He was honored with the Benito Juárez Medal, the Best Scientific Article Award, and the Researcher of the Year title, reflecting his excellence in academic and applied research. He has also been acknowledged for his career-long contributions to scientific development, receiving a special mention at the 3rd International Symposium on Technological and Organizational Innovation (SITOI). His inclusion in the World’s Top 2% Scientists List further underscores his impact on global research. Additionally, he has been a member of Mexico’s National System of Researchers (SNI), advancing from Level I (2016-2022) to Level II (2023-2027), a recognition of his growing influence in the academic community. His leadership in international conferences, editorial boards, and professional committees highlights his commitment to advancing mathematical engineering research and education.

Conclusion

Dr. Arnulfo Luévanos Rojas is a highly accomplished researcher and professor whose contributions to mathematical engineering have significantly impacted structural modeling and optimization. His extensive academic background, spanning multiple engineering disciplines, provides a strong foundation for his research. With over 141 journal publications, 10 books, and an impressive citation record, he has established himself as a leading figure in applied and computational mathematics. His research on mathematical models for beams and footings has improved structural efficiency and cost-effectiveness, making a tangible impact on engineering practices. Recognized with multiple national and international awards, he continues to shape the future of mathematical engineering through research, mentorship, and collaboration. His dedication to advancing the field through innovative modeling techniques, industry partnerships, and academic leadership makes him a distinguished expert in mathematical and applied engineering sciences.

Publications Top Notes

  • Title: Optimal Surface in Plan for Hollow Circular Footings Assuming That the Contact Surface with Soil Works Partially Under Compression
    Authors: E.R. Díaz-Gurrola, Eyrán Roberto; A. Luévanos-Rojas, A.; G.J. Montiel-Sánchez, Gloria Josefina; C. Martínez-Aguilar, Carmela
    Year: 2025
    Source: International Journal of Innovative Computing, Information and Control

  • Title: Optimal Cost Design of RC T-Shaped Combined Footings
    Authors: V.M. Moreno-Landeros, Victor Manuel; A. Luévanos-Rojas, A.; G. Santiago-Hurtado, Griselda; A.L. López León, Abraham Leonel; A.E. Landa-Gómez, Aldo Emelio
    Year: 2024
    Source: Buildings

  • Title: Optimal Area for Rectangular Foundation Slabs in Plan Supported on Soil
    Authors: M.I.L. Ávila-García, María Ilce Leticia; A. Luévanos-Rojas, A.; C. Martínez-Aguilar, Carmela; L.L. Gaona-Tamez, Laura Leticia
    Year: 2024
    Source: International Journal of Innovative Computing, Information and Control

  • Title: Optimal Area for a Rectangular Isolated Footing with an Eccentric Column and Partial Ground Compression
    Authors: V.M. Moreno-Landeros, Victor Manuel; A. Luévanos-Rojas, A.; G. Santiago-Hurtado, Griselda; L.D. López León, Luis Daimir; E.R. Díaz-Gurrola, Eyrán Roberto
    Year: 2024
    Source: Applied Sciences (Switzerland)
    Citations: 1

  • Title: Mathematical Modeling for the Optimal Cost Design of Circular Isolated Footings with Eccentric Column
    Authors: A. Luévanos-Rojas, A.; V.M. Moreno-Landeros, Victor Manuel; G. Santiago-Hurtado, Griselda; M.A. Baltazar-Zamora, Miguel Angel; E.R. Díaz-Gurrola, Eyrán Roberto
    Year: 2024
    Source: Mathematics
    Citations: 2

  • Title: Modelling for Mechanical Elements of T-Shaped Cross-Sectional Beams with Straight Haunches: Part II
    Authors: O. Sierra-Andrade, Omar; A. Luévanos-Rojas, A.; B.E. Montano-Pérez, Blanca Estela
    Year: 2024
    Source: International Journal of Innovative Computing, Information and Control

  • Title: Modelling for Mechanical Elements of T-Shaped Cross-Sectional Beams with Straight Haunches: Part I
    Authors: C. Rodríguez-Reyes, Cynthia; A. Luévanos-Rojas, A.; C. Martínez-Aguilar, Carmela
    Year: 2024
    Source: International Journal of Innovative Computing, Information and Control

  • Title: Minimum Cost Design for Circular Isolated Footings with Eccentric Column Taking Into Account That the Surface in Contact with the Ground Works Partially in Compression
    Authors: I. Luévanos-Soto, Inocencio; A. Luévanos-Rojas, A.; V.M. Moreno-Landeros, Victor Manuel; G. Santiago-Hurtado, Griselda
    Year: 2024
    Source: Coupled Systems Mechanics

  • Title: Deflections in Beams of Rectangular Cross Section with Parabolic Haunches Subjected to a Concentrated Load
    Authors: R. Barraza-Saucedo, Rogelio; A. Luévanos-Rojas, A.
    Year: 2024
    Source: Computacion y Sistemas

  • Title: Design of Isolated Footings of Rectangular Form Using a New Model
    Authors: A. Luévanos Rojas, J.G. Faudoa Herrera, R.A. Andrade Vallejo, …
    Year: 2013
    Source: International Journal of Innovative Computing, Information and Control
    Citations: 44

  • Title: Optimal Design for Rectangular Isolated Footings Using the Real Soil Pressure
    Authors: A. Luévanos-Rojas, S. López-Chavarría, M. Medina-Elizondo
    Year: 2017
    Source: Ingeniería e Investigación
    Citations: 38

  • Title: Optimal Dimensioning for the Corner Combined Footings
    Authors: S. López Chavarría, A. Luévanos Rojas, M. Medina Elizondo
    Year: 2017
    Source: Advances in Computational Design
    Citations: 35

  • Title: Design of Isolated Footings of Circular Form Using a New Model
    Authors: A. Luévanos Rojas
    Year: 2014
    Source: Structural Engineering and Mechanics
    Citations: 33

  • Title: Method of Structural Analysis for Statically Indeterminate Beams
    Authors: A. Luévanos Rojas
    Year: 2012
    Source: International Journal of Innovative Computing, Information and Control
    Citations: 32

  • Title: Design of Boundary Combined Footings of Rectangular Shape Using a New Model
    Authors: A. Luévanos Rojas
    Year: 2014
    Source: Dyna
    Citations: 30

  • Title: A Mathematical Model for Dimensioning of Footings Rectangular
    Authors: A. Luévanos Rojas
    Year: 2013
    Source: ICIC Express Letters, Part B, Applications
    Citations: 29

  • Title: Numerical Experimentation with a Human Migration Model
    Authors: V. Kalashnikov, N. Kalashnykova, R. Luévanos Rojas, M. Méndez Muños, …
    Year: 2008
    Source: European Journal of Operational Research
    Citations: 28

  • Title: A New Model for T-Shaped Combined Footings Part I: Optimal Dimensioning
    Authors: A. Luévanos Rojas, S. López Chavarría, M. Medina Elizondo
    Year: 2018
    Source: Geomechanics and Engineering
    Citations: 27

  • Title: Numerical Experimentation for the Optimal Design for Reinforced Concrete Rectangular Combined Footings
    Authors: F. Velázquez Santillán, A. Luévanos Rojas, S. López Chavarría, …
    Year: 2018
    Source: Advances in Computational Design
    Citations: 26

  • Title: Design of Boundary Combined Footings of Trapezoidal Form Using a New Model
    Authors: A. Luévanos Rojas
    Year: 2015
    Source: Structural Engineering and Mechanics
    Citations: 26

 

Muhammad Nasim Aftab | Applied Mathematics | Best Researcher Award

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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 

Google Scholar

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

 

 

Pedro Américo Júnior | Numerical Analysis | Numerical Analysis Research Award

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Prof. Dr. Pedro Américo Júnior | Numerical Analysis | Numerical Analysis Research Award

Professor at PucMinas, Brazil

Pedro Américo Almeida Magalhães Júnior is a distinguished researcher with expertise spanning Electrical Engineering, Computer Science, Civil Engineering, and Mechanical Engineering. He holds multiple degrees, including a Ph.D. in Mechanical Engineering, a master’s in Electrical Engineering, and bachelor’s degrees in Electrical Engineering and Computer Science. His research focuses on numerical analysis, structural analysis, artificial intelligence, software engineering, optical metrology, and mechanical fatigue. As the creator of VCN-Visual Cálculo Numérico, he has contributed to computational advancements in numerical calculations. With extensive experience in academia and industry, he has taught subjects such as artificial intelligence, digital circuits, and computational applications. His work integrates mathematical modeling, engineering principles, and cutting-edge technologies. While his interdisciplinary expertise is impressive, further details on his publication record, research impact, and funding achievements would strengthen his profile for prestigious research awards. His contributions demonstrate innovation, technical depth, and a commitment to advancing engineering and applied mathematics.

Professional Profile 

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Education

Pedro Américo Almeida Magalhães Júnior has a diverse and extensive educational background spanning multiple engineering and computational disciplines. He earned a bachelor’s degree in Electrical Engineering from the Federal University of Minas Gerais (1989) and a bachelor’s degree in Computer Science from the Pontifical Catholic University of Minas Gerais (1989). Further expanding his expertise, he completed a specialization in Civil Engineering at Fundação Educacional Minas Gerais (1993). His academic journey continued with a master’s degree in Electrical Engineering from Pontifical Catholic University of Minas Gerais (2001), where he focused on finite element methods in undergraduate education. He later pursued a Ph.D. in Mechanical Engineering at the same institution (2009), with research centered on the Moiré shadow technique with phase shift using the generalization of the Carré algorithm. This multidisciplinary education has provided him with a strong foundation in numerical analysis, structural engineering, artificial intelligence, and computational methodologies, shaping his contributions to research and academia.

Professional Experience

Pedro Américo Almeida Magalhães Júnior has a diverse and extensive professional background spanning academia, research, and industry. He has worked as a professor at institutions such as Centro Universitário Unihorizontes and Pontifícia Universidade Católica do Paraná, teaching subjects in artificial intelligence, robotics, computer architecture, electrical materials, and numerical analysis. His expertise extends to engineering, where he has contributed to structural analysis, finite element methods, metrology, and computational modeling. He developed the VCN-Visual Cálculo Numérico software, demonstrating his proficiency in numerical computing. Pedro has also held positions in systems development, technology management, and data processing, working with companies like Gama Construtora Ltda and Sid Microelectronics. With a strong multidisciplinary foundation in electrical, mechanical, and civil engineering, as well as computer science, his career reflects a commitment to advancing knowledge in mathematical modeling, experimental mechanics, and industrial applications, reinforcing his contributions to both academia and practical engineering solutions.

Research Interest

Pedro Américo Almeida Magalhães Júnior’s research interests span multiple disciplines, reflecting his strong background in engineering, mathematics, and computational sciences. His work primarily focuses on numerical analysis, structural analysis, differential equations, statistical methods, and finite element modeling, with applications in mechanical and civil engineering. He is particularly interested in developing and refining computational techniques for solving complex mathematical and engineering problems, including optical metrology, mechanical fatigue, and resistance of materials. As the creator of VCN-Visual Cálculo Numérico, he has contributed to advancing numerical computing methodologies. His research also extends to artificial intelligence, software engineering, and industrial process optimization, demonstrating a multidisciplinary approach to solving real-world challenges. Additionally, his expertise in project management and metrology supports applied research in engineering innovation. Through his academic contributions, he aims to bridge the gap between theoretical advancements and practical applications, fostering technological progress in various engineering domains.

Award and Honor

Pedro Américo Almeida Magalhães Júnior has been recognized for his significant contributions to engineering, applied mathematics, and computational sciences. As a CNPq Level 2 Research Productivity Fellow, he has demonstrated excellence in research, innovation, and academia. His multidisciplinary expertise in numerical analysis, structural engineering, artificial intelligence, and computational modeling has earned him respect in the scientific community. The development of VCN-Visual Cálculo Numérico stands as a testament to his contributions to computational tools in engineering and mathematics. His dedication to advancing knowledge is reflected in his roles as a professor and researcher, shaping future generations of engineers and scientists. While specific awards and honors are not detailed in the available information, his extensive academic background, research output, and influence in multiple disciplines highlight his impact. His work continues to shape industry practices and academic methodologies, making him a distinguished figure in applied mathematics and engineering research.

Conclusion

Pedro Américo Almeida Magalhães Júnior is a distinguished researcher with a multidisciplinary background spanning electrical engineering, computer science, mechanical engineering, and civil engineering. His expertise in numerical analysis, structural analysis, artificial intelligence, and software engineering demonstrates a strong foundation in both theoretical and applied research. As the creator of VCN-Visual Cálculo Numérico, he has contributed to computational advancements in numerical calculations. His teaching experience in artificial intelligence, digital circuits, and engineering systems further reflects his commitment to knowledge dissemination. While his diverse expertise strengthens his candidacy for the Best Researcher Award, a more detailed record of high-impact publications, research citations, and funded projects would further reinforce his research influence. Highlighting specific contributions, innovations, and real-world applications of his work would enhance his recognition within the academic community. Overall, Pedro’s broad research scope and technical contributions make him a strong candidate, with opportunities to further solidify his academic impact.

Publications Top Noted

  • Behavior study of prestressed concrete wind-turbine tower in circular cross-section
    JA de Lana, PAAM Júnior, CA Magalhães, ALMA Magalhães, …
    Year: 2021 | Citations: 54
  • Mandibular canine intrusion with the segmented arch technique: A finite element method study
    GM Caballero, OA de Carvalho Filho, BO Hargreaves, HH de Araújo Brito, …
    Year: 2015 | Citations: 43
  • Stress‐Strain Compression of AA6082‐T6 Aluminum Alloy at Room Temperature
    AS Scari, BC Pockszevnicki, J Landre Junior, PAA Magalhães Junior
    Year: 2014 | Citations: 33
  • Study of Diamond-Like Carbon coating application on carbide substrate for cutting tools used in the drilling process of an Al–Si alloy at high cutting speeds
    PS Martins, PAAM Júnior, JRG Carneiro, ECT Ba, VF Vieira
    Year: 2022 | Citations: 32
  • Numerical analysis of the air flow in internal combustion engine intake ducts using Herschel-Quincke tubes
    RS Mazzaro, S de Morais Hanriot, RJ Amorim, PAAM Júnior
    Year: 2020 | Citations: 19
  • Numerical method to digital photoelasticity using plane polariscope
    PAAM Júnior, FG Vieira, CA Magalhães, JS Ribeiro, IG Rios
    Year: 2016 | Citations: 13
  • Analysis of stresses in a tapered roller bearing using three-dimensional photoelasticity and stereolithography
    FG Vieira, AS Scari, PAA Magalhães Júnior, JSR Martins, CA Magalhães
    Year: 2019 | Citations: 12
  • New numerical methods for the photoelastic technique with high accuracy
    C Almeida Magalhaes, P Americo Almeida Magalhaes
    Year: 2012 | Citations: 12
  • Mathematical Model and Programming in VBA Excel for Package Calculation
    JDR Lessa, PFR Lessa, PA Almeida, M Junior, HV Guimarães
    Year: 2016 | Citations: 7
  • Design of lattice wind turbine towers with structural optimization
    P Junior, IG Rios, TS Ferreira, ACDA Júnior, OA De Carvalho Filho, …
    Year: 2014 | Citations: 7
  • Higher-Order Newton-Cotes Formulas
    PAA Magalhaes, CA Magalhaes
    Year: 2010 | Citations: 7
  • New formulas of numerical quadrature using spline interpolation
    PAA Magalhaes, PAAM Junior, CA Magalhaes, ALMA Magalhaes
    Year: 2021 | Citations: 6
  • Structural analysis and structural optimization of self-supporting truss towers to support a large wind turbine
    JPAA MAGALHAES, IG Rios, TS Ferreira, JAC DE ANDRADE, …
    Year: 2014 | Citations: 6
  • Higher-order Newton-Cotes formulas
    PAAM Junior, CA Magalhaes
    Year: 2010 | Citations: 5
  • Generalization of Carre algorithm
    PAAM JUNIOR, PS NETO, CS de Barcellos
    Year: 2009 | Citations: 5
  • Evaluation of the stiffness effect of pipe supports in relation to static and dynamic loads in a flexibility analysis
    PAAM Junior, TM Portela
    Year: 2018 | Citations: 4
  • Separation of isochromatics and isoclinics phasemaps for the photoelastic technique with use phase shifting and a large number of high precision images
    CA Magalhães, PS Neto, A Magalhaes Jr PA, CS de Barcellos
    Year: 2013 | Citations: 4
  • New numerical method for the photoelastic technique
    PAA M Júnior, CA Magalhães, P Smith Neto
    Year: 2012 | Citations: 4
  • Generalization of Carré equation
    PAAM Junior, PS Neto, CS De Barcellos
    Year: 2011 | Citations: 4
  • New Carré equation
    P Magalhaes, P Neto, C Magalhães
    Year: 2010 | Citations: 4

 

 

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

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

 Assistant Professor at Shri Lemdeo Patil Mahavidyalaya, Mandhal India

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

Professional Profile 

Scopus Profile
ORCID Profile 

Education

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

Professional Experience

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

Research Interest

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

Award and Honor

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

Conclusion

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

Publications Top Noted

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

Aleksandar Senić | Mathematical Engineering | Best Researcher Award | 2039

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Mr. Aleksandar Senić | Mathematical Engineering | Best Researcher Award

Assistant Lecturer at Faculty of Civil Engineering, Belgrade, Serbia

Aleksandar Senić is a researcher and expert in risk management for infrastructure projects, specializing in the application of fuzzy logic and machine learning to predict delays and cost overruns. As an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, he actively contributes to research on risk assessment and decision-making optimization. He has authored eight journal papers in indexed databases and a book on infrastructure project management. With over 30 industry projects, he plays a key role in translating research into practical solutions. As Director of the Construction Management Sector at Koridori Srbije, he oversees infrastructure projects worth €5 billion, ensuring efficient execution and risk mitigation. His work on hybrid risk assessment models and clustering risk factors has improved project planning and preventive strategies. Through collaborations with leading researchers, his contributions have gained international recognition, influencing best practices in construction risk management and decision-making in large-scale projects.

Professional Profile

Scopus Profile
ORCID Profile 

Education

Aleksandar Senić holds a strong academic background in civil engineering and risk management. He earned his Bachelor’s and Master’s degrees from the Faculty of Civil Engineering, University of Belgrade, specializing in construction management and infrastructure project risk assessment. His postgraduate research focused on applying fuzzy logic and machine learning techniques to predict delays and cost overruns in large-scale infrastructure projects. He pursued a Ph.D. in Civil Engineering, further advancing his expertise in hybrid risk assessment models integrating artificial intelligence and expert systems for optimizing decision-making in construction. Throughout his academic journey, he actively collaborated with leading researchers, contributing to cutting-edge methodologies in risk quantification and mitigation. His educational foundation, combined with extensive industry exposure, enables him to bridge the gap between theoretical research and practical application, making significant advancements in infrastructure project management. His academic credentials and research output have positioned him as a key contributor to the field of risk management in civil engineering.

Professional Experience

Aleksandar Senić is an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, and a leading expert in risk management for infrastructure projects. With extensive experience in applying fuzzy logic and machine learning, he specializes in predicting delays and cost overruns in large-scale road construction. As the Director of the Construction Management Sector at Koridori Srbije, he oversees the execution of €5 billion infrastructure projects, ensuring efficient delivery and risk mitigation. His expertise extends to industry consultancy, having contributed to over 30 projects focused on risk assessment and preventive strategies. He has authored a book on infrastructure project management and published 8 journal papers in indexed databases. His research, widely cited internationally, integrates hybrid risk assessment models to optimize decision-making. A member of the Serbian Chamber of Engineers, he actively collaborates with leading researchers, advancing best practices in construction risk management and preventive methodologies.

Research Interest

Aleksandar Senić’s research interests focus on advancing risk management methodologies in infrastructure projects through the integration of machine learning, fuzzy logic, and expert-driven models. His work aims to enhance predictive analytics for cost overruns and time extensions in road construction, enabling more efficient project planning and execution. He specializes in hybrid risk assessment models, combining statistical techniques with artificial intelligence to improve decision-making in large-scale infrastructure development. Additionally, his research explores preventive measures in project management, optimizing risk quantification frameworks to minimize uncertainties and enhance project resilience. His contributions also extend to construction project complexity analysis, where he clusters risk factors to prioritize interventions, reducing budget deviations and schedule delays. Through collaborations with leading researchers and industry professionals, he strives to develop innovative strategies for risk mitigation, ensuring sustainable and cost-effective infrastructure development while bridging the gap between academic research and practical engineering applications.

Award and Honor

Aleksandar Senić is a distinguished researcher and industry expert in risk management for infrastructure projects, recognized for his significant contributions to the field of construction engineering. As an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, and Director of the Construction Management Sector at Koridori Srbije, he has played a pivotal role in advancing methodologies for risk assessment, predictive modeling, and decision-making optimization. His research integrates machine learning, fuzzy logic, and expert surveys to enhance risk evaluation, leading to improved efficiency in large-scale infrastructure projects. With numerous publications in high-impact journals, his work has gained international recognition, influencing best practices in risk mitigation. His leadership in managing projects worth €5 billion underscores his practical expertise. Through active collaboration with leading researchers and contributions to industry projects, he continues to shape the future of infrastructure risk management, making him a deserving candidate for prestigious academic and professional honors.

Conclusion

Aleksandar Senić is a distinguished researcher in risk management for infrastructure projects, combining academic expertise with extensive industry experience. His contributions to integrating machine learning and fuzzy logic into risk assessment models have significantly advanced methodologies for predicting delays and cost overruns in large-scale construction projects. As a lecturer at the University of Belgrade and Director at Koridori Srbije, he bridges the gap between research and real-world applications, overseeing infrastructure projects worth €5 billion. With eight journal publications, a book, and collaborations with esteemed researchers, his work has gained international recognition. While his citation index and h-index indicate a growing impact, further engagement in high-impact research, patents, and editorial roles could enhance his profile. His expertise, leadership, and commitment to innovation in construction risk management make him a strong candidate for the Best Researcher Award, reflecting both his scholarly excellence and his contributions to improving infrastructure project outcomes.

Publications Top Noted

  • Prioritization of Preventive Measures: A Multi-Criteria Approach to Risk Mitigation in Road Infrastructure Projects
    • Authors: Aleksandar Senić, Marija Ivanović, Momčilo Dobrodolac, Zoran Stojadinović
    • Year: 2025
  • A Comprehensive Analysis of Road Crashes at Characteristic Infrastructural Locations: Integrating Data, Expert Assessments, and Artificial Intelligence
    • Authors: T. Ivanišević, M. Vujanić, A. Senić, A. Trifunović, S. Čičević
    • Year: 2024
  • Predicting Extension of Time and Increasing Contract Price in Road Infrastructure Projects Using a Sugeno Fuzzy Logic Model
    • Authors: Aleksandar Senić, Momčilo Dobrodolac, Zoran Stojadinović
    • Year: 2024
  • Development of Risk Quantification Models in Road Infrastructure Projects
    • Authors: Aleksandar Senić, Momčilo Dobrodolac, Zoran Stojadinović
    • Year: 2024
  • Evaluating the Road Environment Through the Lens of Professional Drivers: A Traffic Safety Perspective
    • Authors: Aleksandar Senić
    • Year: 2024
  • Early Highway Construction Cost Estimation: Selection of Key Cost Drivers
    • Authors: N. Simić, N. Ivanišević, Ð. Nedeljković, A. Senić, Z. Stojadinović, M. Ivanović
    • Year: 2023
  • Assessment of Concrete Compressive Strength Using Different Maturity Functions: Case Study
    • Authors: Dragan Bojović, Nevena Bašić, Ksenija Janković, Aleksandar Senić
    • Year: 2018
  • Determination of the In Situ Coefficient of Friction and Imperfection of Prestressing Cables
    • Authors: Dragan Bojović, Bojan Aranđelović, Ksenija Janković, Aleksandar Senić, Marko Stojanović
    • Year: 2017
  • Značaj Arhitektonskog Koncepta za Rentabilnost Projekata
    • Authors: Aleksandar Senić
    • Year: 2014

B. Meenakshi Sundaram | Computational Mathematics | Best Researcher Award

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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