Shivam Srivastava | Material Science | Young Scientist Award

Mr. Shivam Srivastava | Material Science | Young Scientist Award

Research scholor at Dr Shakuntala Misra National Rehabilitation University Lucknow, India.

πŸ”¬ Shivam Srivastava is a dedicated researcher specializing in Material Science, currently pursuing a Ph.D. in Physics at Dr. Shakuntala Misra National Rehabilitation University, Lucknow (Thesis submission in progress). With an M.Sc. in Physics from Lucknow University (2021, 79%) and a B.Sc. in PCM from CSJM University, Kanpur (2019, 64%), he has built a strong academic foundation. His research focuses on thermoelastic properties, high-pressure analysis, and nanomaterials, with several publications in reputed journals. Proficient in XRD, SEM, FTIR, and computational tools, he actively contributes to advancing materials science.

Professional Profile:

Scopus

Suitability for Young Scientist Award – Shivam Srivastava

Shivam Srivastava is an emerging researcher in Material Science, making significant contributions to thermoelastic properties, high-pressure analysis, and nanomaterials. His expertise in computational modeling and experimental techniques such as XRD, SEM, and FTIR strengthens his research. His publications in reputed journals, coupled with active participation in national and international conferences, demonstrate his commitment to advancing material science. With a strong academic background, technical skills, and innovative research, he is a promising candidate for the Young Scientist Award.

Education & Experience

πŸ“š Education:

  • πŸŽ“ Ph.D. in Physics – Dr. Shakuntala Misra National Rehabilitation University, Lucknow (Thesis Submitted)

  • πŸŽ“ M.Sc. in Physics – Lucknow University (2021, 79%)

  • πŸŽ“ B.Sc. in PCM – CSJM University, Kanpur (2019, 64%)

  • 🏫 12th (PCM, Hindi, English) – UP Board (2016, 96%)

  • 🏫 10th (Science, Math, Computer, Hindi, English) – UP Board (2014, 86%)

πŸ›  Technical Experience:

  • πŸ— Experimental Techniques: XRD, SEM, FTIR, EDS

  • πŸ’» Software Proficiency: Gaussian, BURAI, Origin, MS Office

  • 🌎 Languages Known: English, Hindi

Professional Development

πŸ“– Shivam Srivastava actively engages in computational modeling and experimental research in material science. His expertise spans thermoelastic properties, high-pressure behavior, and nanomaterials, contributing significantly to energy storage and industrial applications. He has published multiple high-impact research papers, focusing on carbon nanotubes, lithium-ion battery materials, and molecular crystals. He stays updated with advanced computational techniques and regularly participates in national and international research forums. With strong analytical skills and hands-on experience in experimental physics and software simulations, he aims to drive innovative material research for future technological advancements.

Research Focus

πŸ”¬ Shivam Srivastava’s research primarily revolves around Material Science, with a specific focus on nanomaterials, elastic properties, and high-pressure studies. His work explores thermoelastic properties of carbon nanotubes, GrΓΌneisen pa

rameter analysis for carbides and bromides, and high-pressure behavior of lithium-based materials used in energy storage. Utilizing equations of state and computational methods, he investigates structural and mechanical properties of materials under extreme conditions. His research aims to enhance the efficiency of energy storage materials, improve mechanical stability in industrial applications, and develop new materials with optimized properties for technological advancements.

Awards & Honors

πŸ… Academic Excellence: Consistently ranked among top performers in M.Sc. and B.Sc.
πŸ“œ Research Publications: Published in reputed journals with high impact factors.
πŸ† Scholarship & Recognition: Recognized for outstanding research contributions in Material Science.
🎀 Conference Participation: Actively presented research at national and international platforms.
πŸ’‘ Innovation in Research: Contributed to new theoretical models in elastic properties and nanomaterials.

Publication Top Notes

πŸ”¬ Dimensional Effect on Phonon Frequency Vibrations of Nanostructured Materials

Mr. Peter Adeyemo | Materials science | Young Scientist Award

Mr. Peter Adeyemo | Materials science | Young Scientist Award

Mr. Peter Adeyemo, Federal University of Agriculture, Abeokuta, Nigeria

Peter Adeyemo πŸŽ“ is an accomplished physicist from the Federal University of Agriculture, Abeokuta (FUNAAB), Nigeria. With a Bachelor of Science in Physics, he graduated with distinction, earning a top rank in his class. His research interests lie in experimental condensed matter physics, quantum materials science, and quantum information science. Peter has contributed significantly to computational modeling and machine learning, specifically in predicting phase transitions in the Ising model. In addition to his research, he has a strong background in teaching, software engineering, and leadership, making him a well-rounded academic and researcher. πŸŒŸπŸ”¬

Professional Profile:

Scopus

Suitability for the Young Scientist Award

Peter Adeyemo is an excellent candidate for the Young Scientist Award due to his outstanding academic achievements, innovative research, and contributions to computational and experimental physics.

Education and Experience

πŸŽ“ Education

  • B.Sc. in Physics, Federal University Of Agriculture, Abeokuta (FUNAAB), Nigeria (April 2019 – December 2023)
    • GPA: 4.72/5.00, Class Rank: 2/110
    • Thesis: Machine Learning-assisted prediction of phase transitions in two-dimensional Ising model.

πŸ’Ό Experience

  • Graduate Research Assistant, Dr. P.O Adebambo’s group, FUNAAB (March 2024 – Present)
  • Graduate Research Assistant, Prof. A.O Mustapha’s group, FUNAAB (March 2023 – November 2023)
  • Graduate Research Assistant, Dr. S.A Ganiyu’s group, FUNAAB (March 2024 – Present)
  • Tutor, Deeper Life Campus Fellowship, FUNAAB (2021–2023)
  • Software Engineering Intern, TedPrime Hub, Abeokuta (March 2022–September 2022)

Professional Development

Peter Adeyemo πŸ’‘ is an emerging scholar who has quickly developed expertise in quantum materials science and machine learning. His graduate research assistantships at FUNAAB have allowed him to explore computational physics, working with algorithms to predict phase transitions. In addition, his internship at TedPrime Hub provided hands-on experience in software engineering, where he led the development of a computer-based testing application. His teaching experience further bolstered his academic profile, guiding students in physics and calculus. Peter continues to advance his career with certifications in cloud computing and deep learning. 🌍🧠

Research Focus

Peter Adeyemo’s research focuses on experimental condensed matter physics πŸ§ͺ, with particular emphasis on quantum materials science and quantum information science. He is dedicated to utilizing machine learning algorithms and computational techniques to study phase transitions in systems like the Ising model. His work in quantum materials includes understanding electronic and thermoelectric properties of novel materials, often using first-principles calculations. Additionally, Peter applies computational tools like Quantum Espresso and deep learning frameworks to predict material behaviors, pushing the boundaries of both materials science and quantum computing. 🌌πŸ–₯️

Awards and Honors

πŸ… Petroleum Development Funds In-country Scholar: Awarded to top-tier STEM students in Nigeria (February 2023)
πŸ₯‡ First Runner-up: Inter-varsity Physics Contest, University of Ibadan (September 2021)
πŸŽ“ Best Student: Electromagnetism, X-ray Crystallography, Structural Analysis, Classical Mechanics, Nuclear Physics (December 2023)
πŸ† Dean’s Honor Award: Outstanding academic performance (2021–2023)
πŸŽ– Senate Prize: First Class Honours Award (December 2023)

Publication Top Notes:

  • πŸ“œ Structural, Electronic and Thermoelectric Properties of NiScBi and PdScBi Half-Heusler Alloys from First Principles
  • πŸ“œ Influence of Substrate Temperature and Deposition Time in Energy Band Gap Characteristic of Lead Sulfide Thin Film  – Cited by: 1 πŸ“‰

 

 

Dr. Mohsin Ali | Materials | Best Researcher Award

Dr. Mohsin Ali | Materials | Best Researcher Award

Dr. Mohsin Ali, Southeast University Nanjing, China

Dr. Mohsin Ali is an accomplished researcher in civil engineering at the School of Civil Engineering, Southeast University, Nanjing, China. With a focus on concrete materials, durability performance, and sustainable construction techniques, Dr. Ali has contributed extensively to advancing innovative solutions in reinforced concrete, nanomaterials, and fracture analysis. His impactful work is reflected through numerous open-access publications in esteemed journals, highlighting his expertise in predictive modeling, advanced simulation techniques, and the utilization of eco-friendly cementitious materials. Dr. Ali remains committed to fostering sustainable and resilient infrastructure for the future. πŸ—οΈπŸ”¬

Professional Profile:

Scopus

Summary of Suitability for the Best Researcher Award

Dr. Mohsin Ali is highly suitable for a Best Researcher Award based on his exemplary contributions and achievements in the field of civil engineering, particularly in sustainable construction materials, durability performance, and innovative modeling techniques

Education & Experience πŸŽ“πŸ’Ό

  • πŸŽ“ Ph.D. in Civil Engineering – Southeast University, Nanjing, China
  • πŸŽ“ M.S. in Structural Engineering – University of Engineering and Technology, Pakistan
  • πŸ‘¨β€πŸ« Assistant Professor – Department of Civil Engineering, Pakistan
  • πŸ”¬ Researcher – Southeast University, focusing on advanced simulation, sustainable materials, and fracture mechanics

Professional Development πŸ“ˆπŸ”§

Dr. Mohsin Ali actively engages in interdisciplinary research, collaborating internationally on cutting-edge civil engineering projects. He specializes in:

  • 🌱 Eco-friendly cementitious materials like wheat straw ash and banana leaf ash to enhance concrete durability.
  • πŸ› οΈ Predictive modeling techniques (e.g., genetic programming) for improving structural resilience and optimization.
  • 🌐 Advanced numerical simulations involving hybrid nanofluid flows and Cattaneo-Christov heat flux models.
  • πŸ“Š Fracture analysis and mechanical characterization of concrete using finite element modeling.

His professional development is marked by a commitment to sustainability, durability, and innovative engineering solutions. πŸš€πŸ—οΈ

Research Focus πŸ”πŸ§ͺ

Dr. Ali’s research centers on:

  • 🌱 Sustainable Concrete Solutions – Utilizing waste materials such as silica fume, wheat straw ash, and banana leaf ash for eco-friendly and durable concrete.
  • πŸ§ͺ Advanced Materials – Application of nanomaterials like titanium dioxide in concrete for improved mechanical properties.
  • πŸ”¬ Predictive and Numerical Modeling – Genetic programming, RSM optimizations, and numerical techniques for fracture and wear analysis.
  • πŸ—οΈ Structural Durability – Corrosion resistance in reinforced concrete and performance against environmental attacks (e.g., sulphate and acid).
    His contributions address critical challenges in modern infrastructure sustainability. πŸŒπŸ”§

Awards & Honors πŸ†πŸŽ–οΈ

  • πŸ† Research Excellence Award – Southeast University, Nanjing
  • πŸ₯‡ Best Paper Award – International Conference on Sustainable Infrastructure
  • πŸ… Outstanding Reviewer Recognition – Leading Civil Engineering Journals
  • πŸŽ–οΈ Research Grant Recipient – National Science Foundation for Eco-material Studies
  • πŸ“œ Prestigious Fellowships – Recognized for collaborative work on fracture mechanics

Publication Top Notes:

πŸ“ Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms
πŸ”— Cited by: 14
πŸ“ Effect of banana tree leaves ash as cementitious material on the durability of concrete against sulphate and acid attacks
πŸ”— Cited by: 4
πŸ“ Effect of silica fume on fracture analysis, durability performance and embodied carbon of fiber-reinforced self-healed concrete
πŸ”— Cited by: 7
πŸ“ Effect of wheat straw ash as cementitious material on the mechanical characteristics and embodied carbon of concrete reinforced with coir fiber
πŸ”— Cited by: 8
πŸ“ Effect of titanium dioxide as nanomaterials on mechanical and durability properties of rubberised concrete by applying RSM modelling and optimizations
πŸ”— Cited by: 8