Sathiyataj Thambiayya | Mathematical Physics | Best Researcher Award

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Assist. Prof. Dr. Sathiyataj Thambiayya | Mathematical Physics | Best Researcher Award

Assistant Professor, UCSI University, Malaysia

Dr. Sathiyaraj Thambiayya is an Assistant Professor in the Institute of Actuarial Science and Data Analytics at UCSI University, Kuala Lumpur, Malaysia. He holds a Ph.D. in Mathematics from The Gandhigram Rural Institute, India. With over six years of teaching and research experience, Dr. Sathiyaraj specializes in control systems, fractional calculus, stochastic processes, and artificial intelligence applications in dynamic systems. He has worked as a Post-Doctoral Research Fellow at Guizhou University, China, and has been selected for the prestigious National Post-Doctoral Fellowship by the Science and Engineering Research Board (SERB), Government of India. Dr. Sathiyaraj’s research contributions have been recognized globally, with a total research impact factor of 67.10 and a focus on applying advanced mathematics to real-world challenges such as healthcare and AI systems. He is currently leading several funded research projects and is actively involved in postgraduate supervision.

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Education

Dr. Sathiyaraj Thambiayya completed his Ph.D. in Mathematics from the Department of Mathematics at The Gandhigram Rural Institute, India (2015–2017). Before that, he earned a Master of Philosophy in Mathematics from St. Joseph’s College, Trichy, India (2011–2012) and a Master of Science in Mathematics from the same institution (2009–2011). He holds a Bachelor of Education in Mathematics from Tamil Nadu Teachers Education, Chennai, India (2008–2009), and a Bachelor of Science in Mathematics from AVVM Sri Pushpam College, Thanjavur, India (2005–2008). Additionally, he completed his Higher Secondary School at Govt. High School, Thanjavur, India (2003–2005). His academic journey highlights his consistent focus on mathematics and its application to real-world problems, particularly in control systems, stochastic processes, and fractional calculus.

Experience

Dr. Sathiyaraj Thambiayya has extensive academic experience in teaching and research. He currently serves as an Assistant Professor at the Institute of Actuarial Science and Data Analytics at UCSI University, Malaysia, where he has been employed since January 2024. Previously, he worked as a Lecturer in the same institute (2021–2023). His earlier academic experience includes a role as a Guest Faculty at The Gandhigram Rural Institute, India (2017–2018), and as an Assistant Professor in Mathematics at Oxford Engineering College, Trichy, India (2012–2013). Dr. Sathiyaraj has contributed significantly to research during his Post-Doctoral Fellowship at Guizhou University, China (2018–2021), and under the SERB Fellowship at IIT Kanpur, India (2021). His teaching and research have revolved around advanced mathematics, stochastic systems, AI, and control theory, with a particular emphasis on healthcare applications and machine learning.

Awards and Honors

Dr. Sathiyaraj Thambiayya has received several prestigious awards throughout his career. In December 2021, he was selected for the National Post-Doctoral Fellowship (NPDF) by the Science and Engineering Research Board (SERB), Government of India, which he carried out under the mentorship of Prof. Dhirendra Bahuguna at the Indian Institute of Technology Kanpur. This fellowship recognizes his excellence in mathematical research. In December 2013, Dr. Sathiyaraj was awarded the Senior Research Fellow by the Council of Scientific and Industrial Research (CSIR), New Delhi, India, which facilitated the completion of his Ph.D. degree. These honors reflect his exceptional academic and research contributions, particularly in the areas of stochastic processes, fractional calculus, and dynamic systems, positioning him as a leading researcher in applied mathematics and control theory.

Research Focus

Dr. Sathiyaraj Thambiayya’s research focuses on several advanced topics in applied mathematics, with particular emphasis on control systems, stochastic processes, fractional calculus, and machine learning applications for dynamic systems. His research interests include approximate controllability, optimal control, and the development of AI-based solutions for complex systems. His expertise lies in analyzing the qualitative behavior of dynamical systems, including fractional-order systems and stochastic differential equations. He has applied these methods to real-world problems, including the use of AI for the automated detection of diabetic retinopathy and the modeling of complex stochastic systems. His ongoing research explores the intersection of AI, control theory, and fractional calculus, particularly in dynamic and uncertain environments. Through these efforts, Dr. Sathiyaraj aims to develop innovative mathematical tools and techniques for tackling complex problems in engineering, healthcare, and other fields.

Publication Top Notes

  1. Controllability and optimal control for a class of time-delayed fractional stochastic integro-differential systems 📝🔧
  2. Ulam’s stability of Hilfer fractional stochastic differential systems 🧮🔍
  3. Controllability of stochastic nonlinear oscillating delay systems driven by the Rosenblatt distribution 🔄🌐
  4. ABC Fractional Derivative for the Alcohol Drinking Model using Two‐Scale Fractal Dimension 🍻📊
  5. Controllability of fractional higher order stochastic integrodifferential systems with fractional Brownian motion 🏗️🔢
  6. Null controllability results for stochastic delay systems with delayed perturbation of matrices 🕒📉
  7. Relative controllability of a stochastic system using fractional delayed sine and cosine matrices 🔢📏
  8. The controllability of fractional damped stochastic integrodifferential systems ⚙️📉
  9. Synchronization of butterfly fractional order chaotic system 🦋🌀
  10. Controllability of Hilfer fractional stochastic system with multiple delays and Poisson jumps 🔄🧮

 

 

Xinyi Zhao | Biology and Life Sciences | Young Scientist Award

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Mr. Xinyi Zhao | Biology and Life Sciences | Young Scientist Award

Current PhD student, Technological University, Ireland

Zhao Xinyi is a PhD candidate in Food Science at Technological University of Dublin (TU Dublin), Ireland. With a background in Materials Science and Engineering from Zhengzhou University, China, Xinyi has cultivated a strong foundation in nanotechnology, biomedical research, and food safety. Throughout their academic career, they have focused on innovative detection methods for bacterial pathogens, with a particular emphasis on gold nanoparticles. Xinyi has actively contributed to various international conferences and collaborated on high-impact publications. Their work continues to push boundaries in both research and practical applications, making them a prominent figure in their field. Additionally, Xinyi has gained valuable work experience in industry, having held multiple roles at Zhengzhou Tianyi Co., Ltd, where they worked as a mold designer, sales manager, and translator. Fluent in Chinese and English, Xinyi is well-positioned for global scientific collaboration and advancement.

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Education

Xinyi Zhao holds a Bachelor’s degree in Materials Science and Engineering from Zhengzhou University, China, where they built a solid foundation in materials science, focusing on nanomaterials and polymer-based systems. They are currently pursuing a Doctor of Philosophy (PhD) in Food Science at Technological University of Dublin, Ireland, expected to complete in 2025. Their academic work bridges the fields of food science and nanotechnology, investigating innovative detection methods for pathogens and other contaminants. As part of their research, Xinyi has worked with advanced tools like UV-vis, atomic force microscopes, and electrochemical biosensors, alongside gaining expertise in computational tools such as MATLAB, C programming, and various data analysis software. Their educational journey has included a blend of hands-on lab work, theoretical learning, and academic collaboration, preparing them for impactful contributions in both academia and industry. Xinyi’s research focus lies in enhancing detection systems and applying nanotechnology in food safety and biomedical applications.

Experience

Xinyi Zhao has developed a diverse and multi-disciplinary professional background. As a PhD candidate at Technological University of Dublin, Xinyi serves as a Lab Demonstrator, where they assist in educating undergraduate students and providing guidance on complex lab experiments in food science and biotechnology. Additionally, Xinyi has gained significant industrial experience, working for six years at Zhengzhou Tianyi Co., Ltd in various roles, including mold designer, sales manager, and translator. These positions allowed Xinyi to develop a practical understanding of engineering processes and client interactions, while also contributing to the company’s growth and product development. Xinyi’s work across both academic and industrial sectors has provided a broad range of skills, from hands-on laboratory techniques to project management and team collaboration. This blend of experience in both research and industry equips Xinyi to solve real-world problems and bring scientific innovations into practical applications.

Research Focus

Xinyi Zhao’s current research focuses on developing novel detection technologies for bacterial pathogens using gold nanoparticles. This work has significant applications in food safety, where rapid and accurate pathogen detection is crucial. Xinyi’s research leverages cutting-edge nanomaterials to create highly sensitive and efficient biosensors, providing advancements in diagnostics. The use of gold nanoparticles is particularly exciting due to their unique properties, which allow them to interact with biological markers and offer real-time detection. Previous research by Xinyi at Zhengzhou University explored the aggregation behavior of conjugated polymers, which deepened their understanding of polymeric materials and their potential applications in biomedical devices. Additionally, Xinyi is exploring the synergistic effects of curcumin and piperine-loaded nanogels for targeted cancer treatment, demonstrating a strong commitment to both food safety and healthcare applications. Their interdisciplinary research exemplifies a holistic approach to solving pressing challenges in health and food industries.

Publication Top Notes

  • Enhanced Anticancer Response of Curcumin- and Piperine-Loaded Lignin-g-p (NIPAM-co-DMAEMA) Gold Nanogels against U-251 MG Glioblastoma Multiforme 🧬
  • A Stochastic Distribution System Planning Method Considering Regulation Services and Energy Storage Degradation 🔋
  • Design and Development of Magnetic Iron Core Gold Nanoparticle-Based Fluorescent Multiplex Assay to Detect Salmonella 🦠
  • Hydrogel on a Smart Nanomaterial Interface to Carry Therapeutics for Digitalized Glioma Treatment 💊
  • Limits of Detection of Mycotoxins by Laminar Flow Strips: A Review 📚
  • Review of Detection Limits for Various Techniques for Bacterial Detection in Food Samples 🥗
  • Limits of Detection Analysis of Advanced Technologies for Bacterial Detection in Food Samples: Review & Future Perspective 🔍
  • Synergistic Anticancer Response of Curcumin and Piperine Loaded Lignin-gp (NIPAM-co-DMAEMA) Gold Nanogels Against Glioblastoma Multiforme 🧪

 

 

Rupali Goyal | Natural Language Processing | Best Researcher Award

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Dr. Rupali Goyal | Natural Language Processing | Best Researcher Award

Assistant Professor, Amity University, India

Rupali Goyal is an Assistant Professor at Amity University, Mohali, Punjab, specializing in Natural Language Processing (NLP) and Artificial Intelligence. She holds a Ph.D. in Computer Science and Engineering from Thapar Institute of Engineering and Technology, Patiala, where her research focused on NLP. She has a track record of publishing in high-impact journals and conferences, with six published papers in the fields of language modeling, text summarization, and question-answering systems. Rupali is passionate about advancing AI technologies and mentoring students while contributing to interdisciplinary research projects. Her work has real-world applications, particularly in the domains of education, information retrieval, and conversational AI. Rupali’s academic excellence and dedication to innovation make her a promising figure in the NLP and AI research community.

Profile

Education

Rupali Goyal holds a Doctor of Philosophy (Ph.D.) in Computer Science and Engineering from Thapar Institute of Engineering and Technology, Patiala, Punjab, India. Her doctoral research was focused on Natural Language Processing (NLP), where she specialized in developing context-aware models for automated question answering and text summarization. Before her Ph.D., she completed a Master’s degree in Computer Science, where she developed a strong foundation in algorithms, programming, and AI techniques. Rupali qualified for the Graduate Aptitude Test in Engineering (GATE) and the University Grants Commission National Eligibility Test (UGC-NET), further enhancing her academic credentials. Her academic journey has been characterized by a commitment to both theoretical and applied research in AI and NLP. Throughout her career, she has continuously pursued knowledge and skill enhancement to stay at the forefront of technological advancements in the field of AI.

Experience

Rupali Goyal currently serves as an Assistant Professor at Amity University, Mohali, Punjab, India, where she teaches courses on Artificial Intelligence, Natural Language Processing, and Computer Science. In addition to her teaching responsibilities, Rupali is deeply involved in research activities, particularly in the development of advanced models for question-answering systems and text summarization. She has published six papers in prestigious journals and conferences, contributing to the academic discourse on NLP and AI. Rupali has also played an active role in mentoring students, guiding them in their academic and research projects. She has collaborated on various interdisciplinary research initiatives, aiming to address practical challenges in fields such as education, information retrieval, and conversational AI. Her ongoing research focuses on creating more efficient and context-aware NLP models. She has a proven ability to bridge the gap between academia and real-world applications through her innovative research.

Research Focus

Rupali Goyal’s research is centered around Natural Language Processing (NLP), with a specific focus on developing models for question-answering systems, text summarization, and language modeling. Her work aims to improve the accuracy and efficiency of NLP applications in real-world scenarios, such as education, conversational AI, and information retrieval. Rupali has contributed to advancements in extractive and abstractive summarization methods and automated question generation, enhancing semantic understanding and context-aware responses. One of her key research interests is developing generative AI models that can produce more human-like responses while considering context and domain-specific requirements. Her goal is to make NLP models more reliable, scalable, and adaptable to various applications. Rupali has a strong commitment to innovation and research that contributes to the advancement of AI technologies. Her work is highly interdisciplinary, collaborating across fields to push the boundaries of what is possible in NLP and AI.

Publication Top Notes

  • Deep learning based question generation using T5 transformer 🧠📚
  • Automated question and answer generation from texts using text-to-text transformers 🤖💬
  • A Systematic survey on automated text generation tools and techniques 📑🔍
  • Data Mining: Techniques, Applications and Issues 🔎💾
  • Apriori based algorithms and their comparisons 🔢📊
  • QFAS-KE: Query focused answer summarization using keyword extraction 📝🔑

 

Frank Boateng | Management | Best Researcher Award

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Dr. Frank Boateng | Management | Best Researcher Award

Vice Dean, University of Mines and Technology, Ghana

Dr. Frank Boateng is a seasoned academic and professional from Ghana, with extensive experience in management, finance, and consulting. Holding a Ph.D. in Management from Walden University, USA, his research interests focus on corporate governance, sustainable development, and risk v. He is a Senior Lecturer at the University of Mines and Technology (UMaT), Ghana, where he teaches a range of subjects in finance, business ethics, and strategic management. Dr. Boateng is also a Fellow of the Chartered Management Institute (CMI), UK, and a member of several international professional bodies. His work spans various industries and has earned him global recognition, including numerous merit awards and citations in top academic journals.

Profile

Education 🎓📚

Dr. Frank Boateng has earned prestigious academic qualifications, including a Ph.D. in Management from Walden University, USA (2017), an M.Phil. in Business Consulting & Enterprise Risk Management from Kwame Nkrumah University of Science and Technology (2015), and an MBA in Finance from the University of Leicester, UK (2009). He also holds a BSc in Business Administration (Accounting) from Central University, Accra, Ghana (2006). His broad educational background has shaped his extensive expertise in the areas of management, finance, and business consulting. Through his academic journey, Dr. Boateng has gained a diverse and comprehensive understanding of the intersection between management practices and emerging global business trends, enabling him to contribute significantly to both academia and industry.

Experience 💼📈

Dr. Frank Boateng’s academic career spans over a decade, beginning with his appointment as a Lecturer in 2017 and advancing to Senior Lecturer at the University of Mines and Technology (UMaT) in 2021. He has taught a wide array of courses, including Corporate Governance, Financial Management, Risk Management, and Strategic Management, at both undergraduate and postgraduate levels. Dr. Boateng has also contributed to the development of numerous academic programs and curricula in the management domain. With a focus on real-world applications, his teaching is deeply informed by his research, ensuring that his students are equipped with the skills and knowledge needed to excel in the dynamic global business environment.

Research Focus 🔬🌱

Dr. Boateng’s research focuses on several key areas within management, finance, and business consulting, with an emphasis on corporate governance, sustainable development, and risk management. He explores how businesses in developing economies can adopt effective governance structures, enhance sustainability practices, and mitigate risks associated with economic growth and infrastructure development. Additionally, he investigates the role of environmental factors in shaping business strategies and policy decisions. Dr. Boateng’s work contributes to understanding the complex relationships between business, policy, and society, particularly in the African context, and provides valuable insights for both academia and industry.

Publications 📑

  1. Reinvestigating the pollution haven hypothesis: the nexus between foreign direct investments and environmental quality in G-20 countries 🌍
  2. The impact of infrastructure development on economic growth in sub-Saharan Africa with special focus on Ghana 📊
  3. Long-run equilibrium relationship between energy consumption and CO2 emissions: a dynamic heterogeneous analysis on North Africa ⚡
  4. Exploring strategies to reduce moral hazard and adverse selection of Ghanaian public–private partnership (PPP) construction projects 🔨
  5. Perceptions of flexible work arrangements in selected African countries during the coronavirus pandemic 🦠
  6. Rethinking Education System for the Fourth Industrial Revolution 🤖
  7. Impact of tax reforms on revenue mobilisation in developing economies: Empirical evidence from Ghana 💰
  8. Financial flows and environmental quality in ECOWAS member states: accounting for residual cross-sectional dependence and slope heterogeneity 🌱
  9. Segmentation of quantity surveying professional services for focus strategy and diversification 📐
  10. Bank sustainability, climate change initiatives and financial performance: The role of corporate governance 🌍

 

 

Allahyar Geramy | Dental Biomechanics | Best Researcher Award

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Prof. Allahyar Geramy | Dental Biomechanics | Best Researcher Award

Professor, Tehran University of Medical Sciences, Iran

Dr. Allahyar Geramy, DDS, MSc, is a distinguished orthodontist and academic, holding prominent positions in the field of dental medicine. Born on July 20, 1966, in Kermanshah, Iran, Dr. Geramy is a Professor in the Department of Orthodontics at Tehran University of Medical Sciences. With extensive experience and contributions in orthodontics, he has earned his recognition as a researcher, educator, and clinician. He has published widely in dental biomechanics, particularly focusing on orthodontic tooth movements, finite element analysis, and implant-supported restorations. His career has been marked by numerous roles, including Associate Editor of the Iranian Journal of Orthodontics and Vice-Dean in research affairs at TUMS. His research and clinical work continue to influence the orthodontic community globally.

Profile

Education

Dr. Geramy’s educational journey began at the Alborz High School in Tehran, where he excelled, earning his High School Diploma in 1983. He pursued his dental studies at Tehran University of Medical Sciences, where he earned his DDS degree in 1989. Dr. Geramy furthered his expertise by completing a post-graduate training program in Orthodontics at Tehran University of Medical Sciences from 1991 to 1995, where he specialized in orthodontics and advanced dental practices. This solid foundation in academic and clinical training set the stage for his future contributions to the field of orthodontics. Over the years, Dr. Geramy has also participated in numerous workshops on medical education, research, and orthodontic treatment methodologies, further refining his skills and knowledge. His ongoing pursuit of excellence in dental education and research continues to shape his career today.

Experience

Dr. Allahyar Geramy has accumulated over three decades of experience in the field of orthodontics. He began his academic career as an Assistant Professor of Orthodontics at Shiraz University of Medical Sciences from 1995 to 2003. During this period, he also served as a Visiting Lecturer at Yazd University of Medical Sciences. In 2004, Dr. Geramy joined Tehran University of Medical Sciences, where he has held roles ranging from Assistant Professor to Associate Professor and, later, a full Professor in the Department of Orthodontics. His leadership experience includes serving as the Head of the Department of Orthodontics at TUMS from 2017 to 2021 and Coordinator for post-graduate studies at the university from 2003 to 2017. Dr. Geramy’s extensive clinical experience includes supervising dental students, providing patient care, and contributing to orthodontic research and practice in various hospitals across Iran.

Awards and Honors

Dr. Allahyar Geramy’s outstanding academic and professional contributions have earned him multiple prestigious awards and honors. In 1983, he received his High School Diploma with high grades, and later, he was selected for inclusion in several editions of Who’s Who in the World and Who’s Who in Medicine and Healthcare. In 2000, Dr. Geramy was named the pioneer researcher of Shiraz University of Medical Sciences. He also earned the third prize at the 11th Razi International Research Festival in 2005. His recognition as a leading figure in orthodontics and dental biomechanics is a testament to his dedication to advancing the field. His clinical excellence, groundbreaking research, and tireless commitment to dental education have made him a respected and highly influential figure in the global orthodontic community.

Research Focus

Dr. Allahyar Geramy’s research interests are centered around dental biomechanics, particularly the application of finite element analysis (FEA) in orthodontics. His work focuses on understanding the stresses and forces acting on teeth and the surrounding tissues during orthodontic treatment. His pioneering research on alveolar bone resorption, implant-supported restorations, and orthodontic tooth movements has garnered significant attention in the field. Dr. Geramy has explored the impact of orthodontic forces on the periodontal membrane and bone remodeling, contributing to a deeper understanding of tooth movement and retention. His work on implant-assisted restorations, especially the stress distribution around implants and the impact of various treatments on dental health, has been instrumental in advancing the field of orthodontics. Through his research, Dr. Geramy continues to bridge the gap between theoretical knowledge and clinical application, making significant strides in orthodontic care and dental research.

Publication Top Notes

📚 Alveolar bone resorption and the center of resistance modification (3-D analysis by means of the finite element method)
📚 Finite element analysis of three designs of an implant-supported molar crown
📚 Initial stress produced in the periodontal membrane by orthodontic loads in the presence of varying loss of alveolar bone: a three-dimensional finite element analysis
📚 Non-adult dental age assessment: correspondence analysis and linear regression versus Bayesian predictions
📚 Abfraction: 3D analysis by means of the finite element method
📚 Secondary trauma from occlusion: three-dimensional analysis using the finite element method
📚 Influence of implant position on stress distribution in implant-assisted distal extension removable partial dentures: a 3D finite element analysis
📚 The effect of vertical bracket positioning on torque and the resultant stress in the periodontal ligament—a finite element study
📚 The effects of splinting periodontally compromised removable partial denture abutments on bone stresses: a three-dimensional finite element study
📚 Displacement and force distribution of splinted and tilted mandibular anterior teeth under occlusal loads: an in silico 3D finite element analysis
📚 Stress distribution around maxillary anterior implant as a factor of labial bone thickness and occlusal load angles: a 3D finite element analysis

Md Salim Shekh | Mathematical physics | Best Researcher Award

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Dr. Md Salim Shekh | Mathematical physics | Best Researcher Award

Assistant professor, S. P. M. Science and Gilani Arts Commerce College, India

Dr. Md. Salim Md. Harun Shekh is a distinguished academician and researcher in the field of Mathematics, with an emphasis on Cosmology and Gravitation. Holding an M.Sc. in Mathematics, Ph.D. in Mathematics, and D.Sc. in Mathematical Physics, he has been an Assistant Professor at several prestigious institutions, including S.P.M Science and Gilani Arts and Commerce College in Yavatmal, India. Dr. Shekh’s profound contributions to research have earned him recognition as a Fellow of the Royal Astronomical Society in London. Additionally, he is associated with the Inter-University Centre for Astronomy and Astrophysics (IUCAA) and has co-investigated international research projects. Ranked among the World’s Top 2% Scientists, his research primarily focuses on General Relativity, Dark Energy, and Cosmology. Dr. Shekh’s expertise in these domains, combined with his extensive teaching experience, makes him a notable figure in the academic community.

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Education

Dr. Md. Salim Md. Harun Shekh’s educational journey is distinguished by his unwavering dedication to Mathematics and Mathematical Physics. He earned his Ph.D. in Mathematics in 2019 from Sant Gadge Baba Amravati University, Amravati, after completing his M.Sc. in Mathematics in 2011 from the same institution. He obtained his B.Sc. in Mathematics in 2009 from S.P.M. Gilani College, Ghatanji, and his HSC in 2005 from the same college. With an impressive academic record, he also earned a prestigious MS-CIT certification with a remarkable 96% in 2007. His profound knowledge and extensive academic background are reflected in his research contributions and his role as an Assistant Professor at various colleges. His academic excellence, both in theoretical knowledge and practical application, has been a driving force behind his research and teaching endeavors, establishing him as a leading scholar in the field of Mathematical Physics.

Experience

Dr. Md. Salim Md. Harun Shekh brings over 13 years of dedicated teaching experience in Mathematics, making substantial contributions to academia through his role as an Assistant Professor. He is currently serving as an Assistant Professor at S.P.M Science and Gilani Arts and Commerce College, Ghatanji, Yavatmal, Maharashtra. Prior to this, Dr. Shekh has worked for four years at Jawaharlal Darda Institute of Engineering & Technology and five years at Dr. Bhausaheb Nandurkar College of Engineering & Technology, both in Yavatmal. His expertise spans across various mathematical domains, particularly in Cosmology, Gravitation, and General Relativity, with remarkable student outcomes under his guidance. Dr. Shekh has not only made contributions in the classroom but has also participated in numerous national and international research presentations, conferences, and workshops, reflecting his commitment to the field. His innovative teaching methods and passion for quality education have made him a beloved figure among students and faculty alike.

Research Focus

Dr. Md. Salim Md. Harun Shekh’s research primarily revolves around the intricate aspects of Cosmology, General Relativity, and Gravitation. He delves into topics such as Dark Energy, Dark Matter, Scalar-Tensor Theories of Gravitation, and Modified Theories of Gravity. His work aims to develop and analyze cosmological models of the universe with a special focus on the late-time acceleration of the universe, holographic dark energy, and the dynamic nature of gravitation theories. Dr. Shekh’s research interests extend to understanding the anisotropic nature of space-time in various gravity theories, including f(Q) gravity and f(T) gravity. His extensive publications in renowned international journals highlight his ability to combine mathematical rigor with observational cosmology. As an associate at IUCAA and a Fellow of the Royal Astronomical Society, his contributions continue to push the boundaries of understanding in the intersection of mathematics, physics, and cosmology, with significant implications for future studies in the field.

Publication Top Notes

  • Anisotropic nature of space–time in fQ gravity 📚🪐
  • Models of holographic dark energy in f(Q) gravity 🌌🔭
  • Cosmic acceleration and energy conditions in symmetric teleparallel f(Q) gravity 🌠💫
  • Late-time acceleration in f(Q) gravity: Analysis and constraints in an anisotropic background 🌍⚡
  • Thermodynamical aspects of Bianchi type-I Universe in quadratic form of f(Q) gravity and observational constraints 🔬🌟
  • Plane Symmetric Dark Energy Models in the Form of Wet Dark Fluid in f(R,T) Gravity 🌑💧
  • Dark energy cosmological model in a modified theory of gravity 🪐🌑
  • Observational constraints in accelerated emergent f(Q) gravity model 🌌🔭
  • Quintessence Universe and cosmic acceleration in f(Q, T) gravity 🌠⚡
  • Holographic dark energy in Gauss-Bonnet gravity with Granda-Oliveros cut-off 🌙📖
  • Dynamical analysis with thermodynamic aspects of anisotropic dark energy bounce cosmological model in f(R, G) gravity 🌍💫

 

 

 

Umar Islam | Computer Science | Best Researcher Award

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Mr. Umar Islam | Computer Science | Best Researcher Award

Senior Lecturer, IQRA National University Swat Campus, Pakistan

Mr. Umar Islam is a passionate and accomplished educator and researcher in the field of Computer Science, currently serving as a Lecturer at Iqra National University (INU) Swat Campus, Pakistan. With an impressive academic background spanning 18 years in Computer Science, Mr. Islam has become a recognized expert in AI, machine learning, blockchain security, IoT, bioinformatics, and financial analytics. His work has been published in over 15 research articles, including several in top-tier journals. A dedicated researcher, he focuses on real-time AI solutions, particularly in healthcare and cybersecurity. Mr. Islam is also a committed mentor, providing supervision and guidance to students in advanced topics such as Python programming, machine learning, and AI applications. His contributions to the academic community and his research endeavors demonstrate his commitment to pushing the boundaries of knowledge and solving real-world problems.

Profile

Education

Mr. Umar Islam has an extensive academic journey, earning 18 years of education in Computer Science. His academic path began with a Bachelor’s degree in Computer Science, followed by a Master’s degree, where he built the foundation of his knowledge in various aspects of computing. Mr. Islam’s thirst for knowledge and his passion for research led him to pursue advanced studies in areas like AI, machine learning, IoT, and cybersecurity, with a strong focus on applying these technologies to solve real-world challenges. His educational journey has equipped him with the skills to lead cutting-edge research projects and to innovate in fields like bioinformatics and financial analytics. Currently, he is working toward a PhD, which will further deepen his understanding and expertise in these areas. Through his education, Mr. Islam has gained a comprehensive understanding of theoretical and applied Computer Science, which he integrates into both his teaching and research.

Experience

With six years of teaching experience at the higher education level, Mr. Umar Islam has played a pivotal role in shaping the future of numerous students at Iqra National University (INU) Swat Campus. As a lecturer, he has delivered comprehensive lessons in Computer Science topics such as AI, machine learning, and cybersecurity. His commitment to academic excellence is reflected in his success as a supervisor, guiding students through complex topics like Python programming, e-learning analytics, and AI-driven applications. In addition to teaching, Mr. Islam has gained four years of extensive research experience, with a focus on AI applications in healthcare, cybersecurity, and blockchain security. He has led multiple research projects, producing groundbreaking results, and has contributed significantly to the academic community with over 15 published research articles. His academic experience extends beyond teaching, positioning him as a thought leader in his field.

Research Focus

Mr. Umar Islam’s research is deeply focused on the intersection of artificial intelligence (AI), cybersecurity, healthcare, and financial analytics. One of his key research areas includes AI-driven solutions in healthcare, particularly the development of federated learning-based intrusion detection systems and epileptic seizure prediction models. He is also actively exploring AI in cybersecurity, specifically in blockchain security, to mitigate data tampering risks. His work in financial analytics uses AI and machine learning to predict market trends, including cryptocurrency values, demonstrating his interdisciplinary approach to solving real-world problems. In addition to these topics, Mr. Islam is involved in pioneering research in IoT security and bioinformatics. His research aims to address key global challenges such as healthcare delivery, data security, and economic stability through cutting-edge AI applications. His innovative contributions to various fields have resulted in multiple published articles in prestigious journals, demonstrating the far-reaching impact of his work.

Publication Top Notes

  • Detection of distributed denial of service (DDoS) attacks in IoT-based monitoring system of banking sector using machine learning models 🌐🔐📊
  • IOTA-Based Mobile Crowd Sensing: Detection of Fake Sensing Using Logit-Boosted Machine Learning Algorithms 🤖📱💡
  • Real-time detection schemes for memory DoS (M-DoS) attacks on cloud computing applications ☁️💻🛡️
  • Detection of renal cell hydronephrosis in ultrasound kidney images: a study on the efficacy of deep convolutional neural networks 🏥🧠📸
  • A novel anomaly detection system on the internet of railways using extended neural networks 🚆🔍⚙️
  • NeuroHealth guardian: A novel hybrid approach for precision brain stroke prediction and healthcare analytics 🧠💓📈
  • An intelligent approach for preserving the privacy and security of a smart home based on IoT using LogitBoost techniques 🏠🔐💡
  • Enhancing Economic Stability with Innovative Crude Oil Price Prediction and Policy Uncertainty Mitigation in USD Energy Stock Markets 💰📊📉
  • Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data 💾🔎👨‍💻
  • Empowering global ethereum price prediction with EtherVoyant: a state-of-the-art time series forecasting model ⛓️💹🔮

 

 

 

Dr. SERGEY NIKITENKO | Sonochemistry | Chemical Engineering Award

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Dr. SERGEY NIKITENKO | Sonochemistry | Chemical Engineering Award

Director of research, CNRS, France

Sergey I. Nikitenko is a distinguished Director of Research at CNRS and leads the Laboratory of Sonochemistry (LSFC) at the Marcoule Institute for Separation Chemistry (ICSM), France. With a Ph.D. in Chemistry from Moscow State University, he has published over 145 peer-reviewed papers, 4 book chapters, and holds 4 patents. His scientific contributions have focused on sonochemistry, sonoluminescence, nanomaterials, actinide chemistry, and catalysis. Sergey is an editorial board member of leading journals such as Ultrasonics Sonochemistry, Heliyon, Catalysts, and Frontiers of Chemistry. He is also a board member of the European Society of Sonochemistry and has held numerous research positions, securing multiple national and international grants. His work has influenced both academia and industry, particularly in the fields of carbon-free energy and remediation technologies.

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Education

Sergey I. Nikitenko received his Ph.D. in Chemistry from Moscow State University, Russia, where his research laid the foundation for his future groundbreaking work in sonochemistry and materials science. Throughout his academic career, Nikitenko’s research has consistently bridged theoretical chemistry with practical, industrial applications. After completing his Ph.D., he continued his research journey at various institutions before joining the French CNRS in 2005. Nikitenko’s vast experience and passion for scientific advancement have led him to contribute significantly to the development of innovative technologies in the fields of sonochemistry, catalysis, and nanomaterials. He has collaborated extensively with prominent research institutions across Europe and internationally, building a solid reputation as a leading figure in his field. His commitment to advancing scientific knowledge continues to shape the landscape of research in chemistry and materials science today.

Experience

Sergey I. Nikitenko has an extensive career in research and academia, serving as the Director of Research at CNRS and head of the Laboratory of Sonochemistry (LSFC) at ICSM. His expertise spans sonochemistry, actinide chemistry, catalysis, and the development of carbon-free energy technologies. Nikitenko has successfully coordinated and participated in several large-scale research projects, including the ANR-2010-BLAN-0810 NEQSON project, and the PEPR ECOCHEM project, among others. With over 145 peer-reviewed publications and multiple patents, his work focuses on understanding the mechanisms of sonochemical reactions and their applications in various fields, including energy production and environmental remediation. Nikitenko also holds editorial roles in several high-impact journals, helping guide the future of sonochemistry and catalysis research. As a collaborative leader, he has built strong ties with research groups and industry partners, contributing to numerous innovations in his field.

Research Focus

Sergey I. Nikitenko’s research is centered around sonochemistry, sonoluminescence, nanomaterials, and actinide chemistry. He is particularly known for his pioneering work on the mechanisms of sonochemical reactions, employing tools such as sonoluminescence spectroscopy to study cavitation and plasma formation in liquid environments. His research has led to the development of novel methods for the synthesis of functional nanomaterials, including Ti@TiO2 and NiTi@TiO2/Ni nanoparticles, which exhibit strong photothermal activity. Nikitenko’s work in actinide chemistry has also made significant strides, especially with the first-ever synthesis of salt-free nanocolloids of PuO2. His interest in photocatalysis and green hydrogen production further solidifies his position as a leader in sustainable energy research. Additionally, he has been involved in cutting-edge collaborations to advance sonochemical technologies for PFAS remediation and theranostic applications in oncology, positioning his research as both innovative and highly impactful in multiple scientific domains.

Publication Top Notes

  1. Speciation of rare-earth metal complexes in ionic liquids: a multiple-technique approach 🔬
  2. PET/MRI in head and neck cancer: initial experience 🧠
  3. Influence of gamma irradiation on hydrophobic room-temperature ionic liquids [BuMeIm] PF6 and BuMeIm2N 💡
  4. Spectroscopic and Electrochemical Studies of U(IV)−Hexachloro Complexes in Hydrophobic Room-Temperature Ionic Liquids ⚛️
  5. Effect of operational conditions on sonoluminescence and kinetics of H2O2 formation during the sonolysis of water 🌊
  6. Photothermal Hydrogen Production Using Noble-Metal-Free Ti@TiO2 Core–Shell Nanoparticles 🌞
  7. Comparative study of sonochemical reactors with different geometry using thermal and chemical probes 🔬
  8. Acoustic cavitation at the water− glass interface 🌐
  9. Effect of ultrasonic frequency on the mechanism of formic acid sonolysis 🧪
  10. Formation of higher chloride complexes of Np (IV) and Pu (IV) in water-stable room-temperature ionic liquid 💧

 

 

 

Wenxuan Xu | Optical Fiber Communication | Best Researcher Award

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Mr. Wenxuan Xu | Optical Fiber Communication | Best Researcher Award

Student, Beijing Jiaotong University, China

Wenxuan Xu is a PhD candidate in engineering at Beijing Jiaotong University, specializing in optical fiber communication. He has a master’s degree in the same field and has published extensively in high-impact journals. His research focuses on few-mode erbium-doped fiber amplifiers (FM-EDFA) for long-distance communication, mode power management, and signal quality improvement. His work has been widely recognized, with multiple publications in journals such as Optics Express and J. Opt. Soc. Am. B. He has also been involved in numerous research projects funded by the National Natural Science Foundation of China. Wenxuan’s innovative approach to addressing the challenges of fiber optic communication has made a significant contribution to the field.

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Education

Wenxuan Xu completed his undergraduate studies and earned a master’s degree in engineering from Beijing Jiaotong University. Currently pursuing his PhD in optical fiber communication at the same institution, he is focused on researching key technologies for long-distance transmission, including few-mode fiber amplifiers and mode management. Throughout his academic journey, Wenxuan has gained in-depth knowledge in fiber optics, contributing to various groundbreaking research initiatives in the field. His academic background is complemented by his ongoing commitment to advancing fiber optic communication, particularly addressing amplifier issues for long-distance transmission and the development of new theoretical frameworks. He has demonstrated strong technical and research skills, underpinned by a deep understanding of the challenges and innovations in optical fiber communication.

Experience

Wenxuan Xu has participated in over 10 research projects, collaborating with experts in optical fiber communication to address critical challenges in long-distance transmission. His experience spans theoretical research, experimental verification, and the design of new technologies aimed at enhancing communication systems. His primary research focus has been on few-mode erbium-doped fiber amplifiers (FM-EDFA), investigating their role in balancing channel power in multi-mode fibers, improving amplifier tolerance, and optimizing signal quality. In addition to academic work, Wenxuan has been involved in industry-sponsored projects funded by the National Natural Science Foundation of China, gaining valuable practical experience. He has co-authored numerous research papers, with a significant portion of his work published in high-impact journals. His contributions have helped drive advancements in fiber optic technologies, with particular emphasis on improving amplifier performance and signal transmission quality.

Research Focus

Wenxuan Xu’s research is centered on optical fiber communication, specifically focusing on improving long-distance transmission using few-mode erbium-doped fiber amplifiers (FM-EDFA). His work involves the study of key challenges, such as balancing channel power across different modes, addressing modal loss differences, and improving amplifier performance. A major area of his research is mode decomposition, mode recognition, and power equalization for fiber amplifiers, particularly in the context of hybrid pumped FM-EDFA. Wenxuan has also contributed to the development of innovative methods to overcome the challenges of mode mixing, enhance signal quality, and improve the efficiency of optical systems. His research has led to the creation of theoretical frameworks, which are verified through experimental approaches. By advancing these technologies, Wenxuan aims to improve the reliability and performance of fiber optic communication systems, making them more efficient for long-distance and high-capacity applications.

Publication Top Notes

  1. Gain equalization of few-mode fiber amplifier based on particle swarm optimization (Proc. SPIE, 2022) 🖥️📊
  2. Long-distance modal power equalization with hybrid pumped FM-EDFA (J. Opt. Soc. Am. B, 2023) 🌐💡
  3. A Multi-Layer Erbium-Doped Air-Hole-Assisted Few-Mode Fiber with Ultra-Low Differential Modal Gain (Photonics, 2022) 📡🔬
  4. High-performance mode decomposition using physics- and data-driven deep learning (Optics Express, 2022) 🤖🔍
  5. Accurate mode decomposition with the combination of the matrix analytic and the SPGD algorithm (J. Opt. Soc. Am. B, 2022) 🔧💻
  6. Effect of gain saturation on mode capacity of EDFA (Optical Fiber Technology, 2022) ⚡📈

 

 

Salvador Gonzalez | Skin Cancer Prevention | Best Researcher Award

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Prof. Salvador Gonzalez | Skin Cancer Prevention | Best Researcher Award

Clinician/Researcher, Alcalá University, Spain

Dr. Salvador González is an accredited Full Professor at the Quality and Accreditation Evaluation National Agency (ANECA) and an Associate Professor in Medicine at Universidad de Alcalá, Madrid, Spain. He also serves as an advisor in the Dermatology Department at Hospital Ramón y Cajal, Madrid. Dr. González has a remarkable career in dermatology and medical research, having held prestigious academic and clinical positions worldwide. He has taught at renowned institutions such as Harvard Medical School, Memorial Sloan-Kettering Cancer Center, and Universidad de Alcalá. His dedication to advancing dermatology spans clinical practice, teaching, and groundbreaking research. He has been instrumental in photodynamic therapy (PDT), reflectance confocal microscopy, and skin cancer prevention. His expertise has earned him global recognition and a multitude of awards, making him a leading figure in dermatology.

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Education

Dr. Salvador González’s academic journey began at the Universidad de Málaga, Spain, where he earned his MD in 1982. His specialization in dermatology was pursued at the Dermatology Department of the same university from 1982 to 1985. He furthered his education with a Diploma in Public Health from the National Health Institute, Madrid, in 1986, and later obtained his Ph.D. in Medicine (Cellular Biology, with a focus on dermatology) from the University of Málaga in 1990. His advanced studies laid the groundwork for his extensive work in medical research and dermatology. Throughout his career, Dr. González has continually expanded his academic horizons through positions at prestigious institutions such as Harvard Medical School, Massachusetts General Hospital, and Memorial Sloan-Kettering Cancer Center, earning global recognition for his expertise in dermatology and his research in skin cancer and innovative medical technologies.

Experience

Dr. Salvador González has an illustrious career spanning over three decades. From 1985 to 1993, he worked as a Clinical Dermatologist for the Penitentiary Health and National Health System in Málaga, Spain. He then pursued significant research in the U.S. as a Beca de Investigación at the Wellman Laboratories of Photomedicine at Massachusetts General Hospital (MGH) from 1993 to 1995. Dr. González’s academic roles include serving as a Dermatology Professor at Harvard Medical School from 1997 to 2000. His academic journey further included being an Assistant Biochemist at MGH, Boston, and an Associate Scientist at Memorial Sloan-Kettering Cancer Center, New York, from 2003 to 2017. He is currently an advisor to the Dermatology Department at Hospital Ramón y Cajal, Madrid, Spain. Dr. González has also held leadership positions in various biopharmaceutical companies, contributing significantly to medical advancements in dermatology, particularly skin cancer and photomedicine.

Awards and Honors

Dr. Salvador González has received numerous prestigious awards and honors throughout his career. In 1999, he was awarded the Alexander A. Fisher Bronze Award by the American Society of Contact Dermatitis. He was named an Honorary Member of the Dermatology Mexican Society and the International Plastic Dermatology Society in 1999 and 2000. He received two Research Awards from The Skin Cancer Foundation in 2000 and 2001. In 2004, Dr. González became an Honorary Member of the Dermatology Academy of Saudi Arabia. His distinguished career has also led to global recognition, including being selected for “Who’s Who” in the USA and being awarded the Melilla’s Year Citizen Award (2005). Notable honors include the 2014 Khosrow Montaz Memorial Lectureship Award from Massachusetts General Hospital, the 2015 Gold Medal from Forum Europe for his contributions to medicine, and the Presidential Citation from the American Academy of Dermatology in 2017 for his work on Reflectance Confocal Microscopy.

Research Focus

Dr. Salvador González’s research focus lies primarily in dermatology, with an emphasis on skin cancer prevention, photodynamic therapy (PDT), and reflectance confocal microscopy. His work has significantly advanced the understanding of basal cell carcinoma, Bowen’s disease, and cutaneous squamous cell carcinoma, particularly in terms of their response to PDT. He has also explored the effects of personalized photoprotection and the impact of blue light on retinal pigment epithelial cells. Dr. González’s research has led to breakthroughs in the clinical application of PDT and new insights into the molecular markers that affect treatment responses. His commitment to advancing non-invasive diagnostic tools, like reflectance confocal microscopy, has revolutionized skin cancer detection. Dr. González continues to lead studies that bridge the gap between basic dermatological science and clinical practice, with a long-term goal of improving patient outcomes and advancing personalized treatments in dermatology.

Publication

  1. Analysis of Tumoral, Stromal, and Glycolytic Markers in the Response of Basal Cell Carcinoma and Bowen Disease to Photodynamic Therapy in Real Life
  2. Personalized Photoprotection: Expert Consensus and Recommendations From a Delphi Study Among Dermatologists
  3. Comparative Response to PDT with Methyl-Aminolevulinate and Temoporfin in Cutaneous and Oral Squamous Cell Carcinoma Cells
  4. The Effect of Fernblock® in Preventing Blue-Light-Induced Oxidative Stress and Cellular Damage in Retinal Pigment Epithelial Cells
  5. Application of Dermoscopy and Reflectance Confocal Microscopy in Vivo in the Evaluation of Nevi in Children
  6. New Trends on Personalized Sunscreens
  7. Reflectance Confocal Microscopy Terminology in Spanish: A Delphi Consensus Study
  8. International Expert Recommendations on Image Acquisition for In Vivo Reflectance Confocal Microscopy of Cutaneous Tumors
  9. The m-TORC1 Inhibitor Sirolimus Increases the Effectiveness of Photodynamic Therapy in the Treatment of Cutaneous Squamous Cell Carcinoma, Impairing NRF2 Antioxidant Signaling
  10. Conventional PDT Versus One PDT Session Plus 3% Diclofenac Gel for Severe Skin Field Cancerization of the Face and Scalp: Randomized Controlled Trial Assessing Clinical and Histological Response