Raghavendran Prabakaran | Mathematics | Young Scientist Award

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Raghavendran Prabakaran | Mathematics | Young Scientist Award

 Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology|India

Dr. Prabakaran Raghavendran is a dynamic researcher in Mathematics, specializing in fractional differential equations, control theory, and their applications in artificial intelligence and cryptography. Currently pursuing a Ph.D. at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, he has already made significant contributions with over 60 publications, 12 patents, and several interdisciplinary collaborations. His work integrates deep mathematical theory with practical AI applications, evident from his internships at Symbiosis International University focusing on BCI-based cognitive enhancement and AI in energy forecasting. With a strong publication track in top-tier journals (Q1, WoS, Scopus), he is recognized for his novel mathematical transforms like the R-, A-, P-, and V-Transforms. His research impacts span cybersecurity, healthcare, robotics, and neuroscience. Dr. Raghavendran’s academic excellence, innovative research, and commitment to interdisciplinary advancement mark him as a rising leader in applied mathematics and AI-integrated systems.

Publication Profile

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Education

Dr. Prabakaran Raghavendran’s academic journey reflects consistent excellence. He is currently pursuing a Ph.D. in Mathematics at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, with a dissertation on fractional integro-differential systems applied in AI and cryptography (synopsis submitted in July 2025). He earned his M.Sc. in Mathematics (2022) from the same university with a remarkable CGPA . He completed his undergraduate B.Sc. in Mathematics from Loyola College, Chennai.. His foundational schooling at Velammal Matric Hr. Sec. School resulted in outstanding scores . Throughout his academic tenure, Dr. Raghavendran has shown a strong inclination toward advanced mathematics and computational applications, preparing him for an impactful research career in emerging scientific areas that bridge pure mathematics and modern technology.

Experience

Dr. Raghavendran has gained valuable research experience through prestigious internships and active collaborations. He served as a Project Intern at the Symbiosis Institute of Digital and Telecom Management under two separate projects. From December 2024 to March 2025, he worked on AI applications in energy forecasting and neuroscience, contributing to funded research supported by DSIR. From April 2025 to April 2026, he took part in a project focused on BCI-based cognitive development using AI, involving model development, data collection, and co-authoring research papers. These internships involved interdisciplinary teamwork, technical presentations, and publication development. Beyond internships, he maintains active collaboration with global researchers, including Prof. Dumitru Baleanu and several Indian and international scholars. His experience includes not only research publication but also innovation, evidenced by his 12 Indian patents in transformative mathematics and signal processing applications. His work spans education, signal processing, cryptography, and AI-integrated systems.

Honors and Awards

Dr. Prabakaran Raghavendran has garnered several honors reflecting his academic and research excellence. Notably, he has published 12 patents across diverse innovations such as the P-, A-, Y-, S-, and V-Transforms, aimed at revolutionizing signal processing, cryptography, and intelligent robotics. His research has been recognized through full APC support during internships at Symbiosis International University and collaborative efforts with global researchers. His impressive research metrics include 219 citations (Google Scholar), h-index 9, and 355+ RG Score, showcasing his growing influence in applied mathematics and AI. He also contributed to Springer and IGI Global publications, indicating international academic recognition. He was selected for DSIR-funded research internships and is a consistent contributor to Q1/SCIE-indexed journals. These achievements mark him as an emerging thought leader in mathematical modeling, AI-based forecasting, neural networks, and fractional calculus with real-world applications.

Research Focus

Dr. Raghavendran’s research focus lies at the intersection of Fractional Differential Equations, Control Theory, Integral Transforms, and Artificial Intelligence, particularly with applications in Cryptography, Neuroscience, and Signal Processing. His doctoral work explores Impulsive Neutral Fractional Volterra-Fredholm Integro-Differential Systems with state-dependent delay and its controllability, stability, and existence analysis, incorporating AI tools. He has developed novel mathematical tools like the R-, A-, V-, P-, S-, H-, Y-, and K-Transforms to solve complex integro-differential equations and enhance cryptographic security and robotics applications. His interests also span Artificial Neural Networks, Fuzzy Analysis, Cryptocurrency forecasting, and AI-based healthcare diagnostics. His interdisciplinary approach blends theory and computational applications, evident from publications in domains such as chemical process modeling, railway safety systems, energy forecasting, and disease prognosis. Dr. Raghavendran’s aim is to develop robust mathematical methodologies to solve real-world problems in intelligent systems, making mathematics more adaptive, applicable, and forward-thinking.

Publications

  • Neural Network Framework for Controllability of Fractional Volterra Fredholm Equations

  •  AI-Driven Controllability of Impulsive Fractional Systems with Delay

  •  Predictive Modelling of Chemical Processes with Machine Learning Synergy

  •  Solving Fractional Differential Equations with Ramadan Group Transform & ML

  •  Existence and Stability of Fractional Volterra-Fredholm Systems with Delay

  •  Stability of Volterra-Fredholm Equations with Delay using New Techniques

Luisa Morales Maure | Mathematics | Innovative Research Award

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Luisa Morales Maure | Mathematics | Innovative Research Award

Universidad de Panama|Panama

Dr. Luisa Mabel Morales Maure is a renowned Panamanian mathematics educator and researcher with a strong international footprint in educational innovation, curriculum development, and pedagogical strategies. Holding a Ph.D. in Didactics of Mathematics and Experimental Sciences from the Universitat de Barcelona (Cum Laude), she has led national and international initiatives to improve mathematics education, teacher training, and policy impact. Currently a key member of Panama’s National Research System (SNI) and Director of Admissions at APANAC, she has collaborated extensively with academic and scientific bodies across Europe and Latin America. She is also the founder and coordinator of GIEM-21, a mathematics education research group. A frequent speaker and published scholar, her work bridges scientific research with societal challenges in education. Her dedication was recognized in 2024 with the honorary title Cavaliere dell’Ordine della Stella d’Italia, conferred by the President of Italy. She exemplifies the fusion of academic excellence and social commitment.

Publication Profile

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Education

Dr. Morales Maure has a robust academic background in mathematics and pedagogy. She earned her Ph.D. in Didactics of Mathematics and Experimental Sciences from Universitat de Barcelona, receiving Cum Laude honors. Prior to that, she obtained a Master of Science in Mathematics and its Didactics from Universidad Autónoma del Estado de Hidalgo, Mexico.  she completed postgraduate studies in Higher Education Teaching at the Universidad de Panamá, and holds a Bachelor’s degree in Mathematics from the same institution. Her international academic scope expanded with the completion of the International Diploma in Women and Leadership from IESE Business School in Barcelona, Spain. This diverse and interdisciplinary training has empowered her to lead cross-national research collaborations and develop effective, inclusive educational methodologies that improve teaching practices and student outcomes across multiple educational levels in Latin America and beyond.

Experience

Dr. Morales Maure brings over two decades of academic and professional experience in mathematics education, research, and teacher training. she has been a recognized researcher within Panama’s National Research System (SNI), leading several funded educational innovation projects. She currently serves as Director of Admissions for the Panamanian Association for the Advancement of Science (APANAC) and previously presided over its XIX National Science and Technology Congress. She founded and coordinates the GIEM-21 research group at Universidad de Panamá. Dr. Morales has participated in prestigious international exchanges in Italy and worked on collaborative research in Chile and Spain. Her academic roles include lecturer across diverse faculties including Economics, Medicine, Informatics, and Education. She is also a recognized trainer and speaker, conducting teacher development programs and seminars on mathematical thinking, digital pedagogy, and didactic suitability. Her experience reflects a deep commitment to evidence-based reforms and sustainable education policy advancements.

Honors and Awards

Dr. Luisa Mabel Morales Maure has received multiple awards in recognition of her significant contributions to mathematics education. Most notably. she was conferred the prestigious title Cavaliere dell’Ordine della Stella d’Italia by the President of the Italian Republic, honoring her international impact on education. she earned Panama’s New Researchers Award from SENACYT, acknowledging her early promise in educational research. Her projects funded by institutions such as SENACYT, ANID Chile, and the Ministry of Education of Spain have consistently been recognized for innovation and policy impact. She has also been selected multiple times for Panama’s National Research System (SNI), reaching Level I for consecutive terms. Her leadership roles in APANAC and organization of national science congresses further solidify her standing in the scientific community. Through her academic excellence and dedication, she has become a driving force for educational reform in Latin America.

Research Focus

Dr. Morales Maure’s research focuses on mathematics education, didactical analysis, and teacher training methodologies. She specializes in the use of mathematical modeling, lesson study, and didactic suitability frameworks to improve teaching practices and student learning outcomes. Her work integrates data analysis, program evaluation, and curriculum innovation, aiming to align pedagogy with equity, inclusion, and sustainable development goals. She has contributed extensively to the design and evaluation of diploma programs, teacher reflection tools, and hybrid learning methodologies in Latin America. Her research also involves bibliometric studies on technological integration in education and meta-analyses of quality indicators in mathematics teaching. Actively collaborating with international researchers from Spain, Chile, and Brazil, Dr. Morales Maure’s studies are widely published in indexed journals and policy-related platforms. Her mission is to bridge theory with practice to shape inclusive, culturally responsive, and future-ready mathematics education systems.

Publications

Fortalecimiento del conocimiento didáctico matemático en maestros de primaria en Panamá – Formación Universitaria.
Evaluating didactic strategies for teaching mathematics: A Policy-Driven approach to gender equity in Panama’s education system – Journal of Infrastructure, Policy and Development.
School dropout, lag and repetition: strategies for inclusive and sustainable education in the framework of public policies – Edelweiss Applied Science and Technology.
Tendencias en la Investigación sobre Conocimiento Didáctico y Tecnología en la Educación Matemática: Un Estudio Bibliométrico – REDIMAT.
XIX Congreso de la Asociación Panameña para el Avance de la Ciencia (APANAC): Panamá Hub de las Ciencias – HALAC.

Zhiwen Hou | Mathematics | Best Researcher Award

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Zhiwen Hou | Mathematics | Best Researcher Award

Mr. Zhiwen Hou Chongqing University, China

Z. Hou is an emerging expert in electrical engineering and sustainable energy systems, currently pursuing a Ph.D. in Electrical Engineering at the University of Cincinnati. With a dual undergraduate degree in Electrical Engineering and Business Administration from Chongqing University, Hou combines technical precision with strategic insight to develop intelligent, low-carbon energy solutions. Their research integrates machine learning with grid forecasting, energy optimization, and smart load management, aiming to revolutionize the transition toward sustainable power systems. Hou has worked as an Algorithm Engineer at Sichuan Energy Internet Research Institute, Tsinghua University, and as a Research Assistant at Chongqing University, contributing to advanced simulation and optimization of manufacturing and energy systems. Their international academic exposure at the University of Oxford and University of Cambridge reflects a commitment to global collaboration and interdisciplinary innovation. An active scholar and reviewer, Hou is recognized for publishing in reputable journals and contributing to practical applications of energy technologies.

Publication Profile

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Education

Z. Hou is currently completing a Ph.D. in Electrical Engineering at the University of Cincinnati (2021–2025), focusing on intelligent energy systems and low-carbon technology transitions. This research bridges engineering innovation with economic viability to advance smart grid sustainability. Hou earned a dual bachelor’s degree in Electrical Engineering and Business Administration from Chongqing University (2014–2018), where their academic foundation fused technical and managerial perspectives. Their undergraduate focus emphasized creating practical, data-driven solutions for energy challenges through a combination of engineering methodologies and business analytics. Hou also participated in high-profile international academic programs. At the University of Oxford, they completed the “New Frontiers of Science” course, engaging in advanced studies across engineering and computer science. At the University of Cambridge, they took part in the “Big Data and Financial Technology” program, gaining insights into analytics-driven financial systems. This diverse educational background empowers Hou to integrate technical depth with business strategy.

Experience

Z. Hou has rich interdisciplinary professional experience in smart energy systems, AI optimization, and manufacturing logistics. As a Research Assistant at Chongqing University (2022–2023), Hou developed discrete manufacturing simulations using Tecnomatix and Matlab, enhancing AGV logistics planning and operational efficiency through machine learning. They also contributed as an author and peer reviewer for journals under Springer Nature. Prior to that, Hou served as an Algorithm Engineer at the Sichuan Energy Internet Research Institute, Tsinghua University (2018–2021), where they led research on new power systems for the Guangzhou Power Supply Bureau. Their role included data-driven electricity price prediction, system performance modeling, and managing renewable integration into power grids. Hou’s technical leadership in developing smart storage and energy management strategies demonstrated a strong ability to align innovations with industry goals. Their work has consistently fused engineering, AI, and analytics to address complex energy challenges, with a focus on sustainability and system resilience.

Awards and Honors

While formal award titles are not listed, Z. Hou has earned professional recognition through academic publications in high-impact, peer-reviewed journals, including Sustainability and Energy Reports—both indexed in JCR with significant impact factors. As first and corresponding author on several publications, Hou has demonstrated academic leadership and deep subject matter expertise. They have also served as a peer reviewer for journals under the Springer Nature group, contributing expert insights to evaluate and improve submissions on topics such as logistics optimization and manufacturing systems. These responsibilities are typically entrusted to seasoned researchers and highlight Hou’s recognized competency in both academia and industry. Furthermore, Hou’s selection to participate in academic enrichment programs at the University of Oxford and University of Cambridge reflects their outstanding academic performance and commitment to global research excellence. These experiences showcase their intellectual versatility, international engagement, and leadership in the fields of electrical engineering and sustainable energy systems.

Research Focus

Z. Hou’s research focuses on the intersection of electrical engineering, machine learning, and sustainable energy systems. Their Ph.D. work at the University of Cincinnati targets the development of intelligent power load forecasting models using advanced neural networks and hybrid machine learning methods. Hou seeks to optimize smart grid operations by accounting for real-time variables and frequency-domain dynamics, which improve data imputation and decision-making under uncertainty. Their work explores integrating low-carbon technologies with economic frameworks, ensuring practical and scalable deployment of renewable resources. Through previous roles, Hou contributed to the design and integration of renewable energy systems and analyzed virtual power plant efficiency using regression analysis. In manufacturing contexts, Hou optimized logistics using Tecnomatix and Matlab, linking energy strategies with process improvement. This holistic approach combines technical innovation with strategic management, empowering energy and industrial systems to become smarter, greener, and more cost-effective—supporting the global transition toward sustainable and resilient infrastructure.

Publication Top Notes

  • 🧠 Enhancing smart grid sustainability: using advanced hybrid machine learning techniques… – Sustainability, 2024.

  • 🔁 Short-term power load forecast using OOA-optimized bidirectional LSTM with spectral attention… – Energy Reports, 2024.

  • 🌱 Green transition and financial resilience: exploring the intricate dynamics between corporate low-carbon behavior… – Global NEST Journal, 2024.

  • ⛵ Establishment of second-hand sailboats price prediction model based on random forest… – IEEE ICDSCA, 2023.

  • ⚡ Research on grid reactive power and voltage partition control method based on regional boundary decoupling… – IEEE ICEDCS, 2022.