SUSAM BORAL | Computational Nanotechnology | Best Researcher Award

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Dr. SUSAM BORAL | Computational Nanotechnology | Best Researcher Award

Research Fellow at Trinity College Dublin, Ireland.

📌 Dr. Susam Boral is a Research Fellow at Trinity College Dublin, specializing in mathematical modeling, wave interactions, and hydroelasticity. He earned his Ph.D. in Hydroelasticity from IIT Kharagpur (2022) and has held research positions at Harbin Engineering University and IIT Kharagpur. His expertise includes two-point boundary value problems, dissipative nonlinear Schrödinger equations, and potential flow analysis. Dr. Boral has organized international workshops, collaborated with esteemed institutions like Cambridge University and the University of Newcastle, and published extensively in high-impact journals.

Professional Profile:

Google Scholar

Education 🎓

  • đź“Ť Executive PG Certification in Data Science & AI – IIT Roorkee & Intellipaat (2024–Present)
  • đź“Ť Ph.D. in Hydroelasticity – IIT Kharagpur (2022)
  • đź“Ť M.Sc. in Applied Mathematics – University of Calcutta (2018)
  • đź“Ť B.Sc. in Mathematics (Hons.) – University of Calcutta (2016)

Experience 🏆

  • 🔬 Research Fellow, Trinity College Dublin, Ireland (Nov 2024 – Present)
  • 🏗️ Postdoctoral Fellow, Harbin Engineering University, China (June 2023 – Oct 2024)
  • 🔍 Research Associate, IIT Kharagpur, India (March 2023)

Professional Development & Achievements đź“š

  • 🏅 CSIR Senior Research Fellowship, India (2020–2022)
  • 🏅 CSIR Junior Research Fellowship, India (2018–2020)
  • 🏆 First Rank in M.Sc. & B.Sc. Mathematics, University of Calcutta
  • 🌍 Visiting Researcher, Isaac Newton Institute, Cambridge University (2023)
  • 🌏 SPARC Visiting Scholar, University of Newcastle, Australia (2020)
  • 🎓 Workshop Organizer, International Workshop on Mathematics of Sea Ice and Ice Sheets (MOSSI) (2023–2024)

Publication Top Notes

📖 The role of viscoelastic foundation on flexural gravity wave blocking in shallow water –📑 16 citations | 📅 2021

🌊 Bragg scattering of long flexural gravity waves by an array of submerged trenches and the analysis of blocking dynamics –  📑 15 citations | 📅 2021

🧊 Bragg scattering of flexural-gravity waves by a series of polynyas in the context of blocking dynamics – 📑 12 citations | 📅 2023

🌊 Time-dependent flexural gravity wave scattering due to uneven bottom in the paradigm of blocking dynamics – 📑 9 citations | 📅 2023

🔍 Gravity wave interaction with an articulated submerged plate resting on a Winkler foundation – 📑 9 citations | 📅 2022

Assist. Prof. Dr. Maryam Yazdi | Computational Nanotechnology | Best Researcher Award

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Assist. Prof. Dr. Maryam Yazdi | Computational Nanotechnology | Best Researcher Award

Assist. Prof. Dr. Maryam Yazdi, Ialamic Azad University of Malard, Iran

Maryam Yazdi is an Assistant Professor at the Islamic Azad University of Malard, Tehran, Iran. With a background in Mathematics, she has contributed significantly to the fields of equilibrium problems, fixed-point theory, and optimization. Her research has been widely published in various renowned academic journals, and she is committed to advancing mathematical methods with practical applications. Maryam is known for her dedication to teaching and research, bridging theoretical concepts with real-world solutions.

Professional Profile:

Scopus

Orcid

Suitability for the Best Researcher Award:

Maryam Yazdi is an outstanding candidate for the Best Researcher Award due to her significant contributions to the field of mathematics, specifically in areas related to variational inequalities, equilibrium problems, and fixed-point problems. Her extensive academic and professional background, alongside a remarkable publication record, showcases her dedication to advancing mathematical theories and methods.

🎓Education:

Maryam Yazdi holds a Ph.D. in Mathematics from Imam Khomeini International University, Qazvin, Iran (2012). She also completed her MS (2005) and BS (2003) in Mathematics at the same institution, Imam Khomeini International University, and Iran University of Science and Technology, Tehran, respectively. Her academic background has been the foundation of her extensive research and teaching career.

🏢Experience:

Since 2014, Dr. Yazdi has been an Assistant Professor at the Islamic Azad University of Malard, where she teaches and mentors students in advanced mathematical theories. Prior to this, she worked in various academic roles, contributing to the research and development of mathematical methods for equilibrium and fixed-point problems. Her expertise also extends to supervising graduate research projects.

🏅Awards and Honors:

Dr. Yazdi has earned recognition for her outstanding contributions to mathematical research. She has received several accolades, including awards for her publications and her innovative approaches to solving equilibrium and fixed-point problems. These honors reflect her significant impact on the field of Mathematics.

🔬Research Focus:

Maryam Yazdi’s research primarily focuses on iterative methods, equilibrium problems, and fixed-point theory in the context of non-expansive mappings and variational inequalities. She aims to develop new mathematical techniques to address complex optimization problems, with applications in computational mathematics and optimization theory. Her work on viscosity approximation methods and hybrid iterative methods is highly regarded.

Publication Top Notes:

  • “A Hybrid Viscosity Approximation Method for a Common Solution of a General System of Variational Inequalities, an Equilibrium Problem, and Fixed Point Problems”
    • Citations: 2
  • “A Viscosity Approximation Method for Solving General System of Variational Inequalities, Generalized Mixed Equilibrium Problems and Fixed Point Problems”
    • Citations: 1
  • “Strong Convergence Theorem for a General System of Variational Inequalities, Equilibrium Problems, and Fixed Point Problems”
    • Citations: 2
  • “Coefficient Bounds for a Subclass of Harmonic Mappings Convex in One Direction”
    • Citations: 1
  • “A New Extragradient Method for Equilibrium, Split Feasibility, and Fixed Point Problems”
    • Citations: 6

 

 

 

 

Dr. Kim Hyunjoo | Computational Nanotechnology | Women Researcher Award

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Dr. Kim Hyunjoo | Computational Nanotechnology | Women Researcher Award

Dr. Kim Hyunjoo, Hanyang Universiy, South Korea

Hyunjoo Kim is a seasoned Software Engineer with over 13 years of experience in developing scalable web applications and a strong focus on AI software. Currently serving as the CEO of METAMIX, she leads AI software innovations, building on her previous roles at IBM Korea and Korea Link. Hyunjoo holds a Ph.D. in Computer Software from Hanyang University, where her research focuses on AI and IoT, including enhancing anomaly detection in maritime IoT data. Her expertise extends to natural language processing and knowledge distillation, with several publications in leading journals. Her interests include explainable AI (XAI) and data analytics.

Professional Profile:

Orcid

Suitability For Women Researcher Award

Hyunjoo Kim’s profile as a software engineer with over 13 years of experience and an academic background in computer software makes her a strong candidate for various technical and innovation-focused awards. However, based on her qualifications, she may not align perfectly with the objectives of a Research for Women Researcher Awards that typically focus on women excelling in scientific research across various fields, particularly with demonstrated impacts on broader societal issues or contributions to scientific knowledge, often in non-technical fields like life sciences, environmental science, etc.

🎓Education:

Hyunjoo Kim is pursuing her Ph.D. in Computer Software at Hanyang University, Seoul, Korea, with a research focus on enhancing anomaly detection in maritime IoT time series data using synthetic outliers, expected to be completed by February 2025. She also holds an M.S. in Computer Software from Hanyang University, completed in 2002, and a B.S. in Mathematics from the same institution’s Ansan campus, earned in 2000.

🏢Work Experience:

Hyunjoo Kim is currently the CEO of METAMIX, based in Seoul, Korea, where she has been leading AI software innovations and driving the company’s growth since March 2022. Prior to this, she worked as a Software Engineer at IBM Korea / KLAB from 2008 to 2012, where she developed scalable software solutions and collaborated on AI-focused projects. Earlier in her career, from 2002 to 2008, she gained foundational experience as a Junior Software Developer at Korea Link, contributing to early-stage development projects.

Publication Top Notes:

Title: Enhancing Anomaly Detection in Maritime Operational IoT Time Series Data with Synthetic Outliers

 

 

Mr. Yunpeng Xiong | Computational Nanotechnology Awards | Best Researcher Award

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Mr. Yunpeng Xiong | Computational Nanotechnology Awards | Best Researcher Award

Mr. Yunpeng Xiong | Computational Nanotechnology Awards | Best Researcher Award

Yunpeng Xiong is a 24-year-old software engineering graduate from Nanchang Institute of Technology and a current master’s student in Cybersecurity at Hainan Normal University. He is a dedicated and responsible individual with a strong team spirit and the ability to handle significant work pressure. Yunpeng has a solid academic background, having achieved high scores in courses like WEB front-end development and Python programming, and holds an English proficiency of CET-6 (475). He has been recognized as an excellent class leader and Communist Youth League cadre and has mid-level certification in computer proficiency. Yunpeng has participated in several scientific competitions and projects, including a takeaway backend sales management system and a library management system, utilizing technologies like SpringBoot, MySQL, MyBatis, and Vue. Currently, he is working on a research paper proposing a hybrid neural network model for ticket text classification based on BERT, BiLSTM, and CNN.

Professional Profile:

Orcid

🎓Education:

Yunpeng Xiong is currently pursuing a Master’s in Cybersecurity at Hainan Normal University, where he is engaged in research on a hybrid neural network model (BERT-BiLSTM-CNN) for ticket text classification. He completed his Bachelor’s in Software Engineering at Nanchang Institute of Technology, where he excelled in courses such as WEB front-end development and Python programming, achieving high scores, including a 92 in WEB front-end development.

🏢Work Experience:

Yunpeng Xiong has served as a Class Leader and Event Organizer, where he planned and managed various school and college-level activities. His project experience includes developing a Takeaway Backend Sales Management System (May 2021 – September 2021), where he was responsible for project setup, database design and implementation, and backend management system development, utilizing technologies such as SpringBoot, MySQL, and MyBatis Plus. He also worked on a Library Management System (February 2022 – May 2022), handling project setup, database design, backend system development, and front-end webpage creation using ElementUI and Axios. This project employed technologies like SpringBoot, MySQL, MyBatis, Vue, and ElementUI.

🏆Awards and Achievements:

Yunpeng Xiong has been recognized as an Excellent Class Leader and an Outstanding Communist Youth League Cadre. He has achieved mid-level certification in computer proficiency and has participated in scientific competitions, earning accolades such as the Network Technology Challenge award.

Publication Top Notes:

Title: Research on the Classification of Work Orders based on BERT and Feature Fusion