Mr. Muhammad Usama Younas | Material Chemistry | Best Researcher Award

Researcher at University of Education Lahore, Pakistan

Muhammad Usama Younas is a dedicated researcher with a strong academic background in chemistry. Born on July 8, 1999, in Sheikhupura, Pakistan, he has demonstrated exceptional skills in material synthesis, nanoparticle synthesis, and green extraction techniques. With a Master of Science degree in Chemistry from the University of Education Lahore, Muhammad Usama has worked as a research assistant, contributing to various projects and publications. His research interests include green synthesis of nanoparticles, photocatalytic activity, and biomedical applications. He is proficient in multiple software and instruments, including FTIR spectrometer, UV-visible spectrophotometer, and Particle Size Analyzer. Muhammad Usama is also an effective communicator and team player, with good analytical and problem-solving skills.

Professional Profile

scholar

Education

Experience

– *Research Assistant*, University of Education Lahore (2022-2024) – Material synthesis – Nanoparticle synthesis – Green extraction techniques – Instrument operation (FTIR, UV-Vis, Particle Size Analyzer, XRD)

Research Interests

Muhammad Usama Younas’ research focuses on:- Green synthesis of nanoparticles- Photocatalytic activity- Biomedical applications- Antioxidant and antimicrobial potential of plant extracts- Nanomaterials and their applications in environmental remediation

Awards

– *Provisional Government Honorary Award and Laptop Prize* (2017) – Awarded to excellent students by Shahbaz Shareef, Chief Minister of Punjab, Pakistan- *The Punjab Educational Endowment Fund (PEEF) Scholarship* (2016) – Awarded in SSC – Fauji Foundation High School for Boys, Sangla Hill, District Nankana Sahib- *Reviewer Certificates from Springer Nature Journals* (2025)

Top Noted Publications

1. Green Synthesis of TiO2 NPs using Agave americana leaves: Antioxidant, Cytotoxicity and Photocatalytic activity 📰
2. Biological Synthesis of Zinc Oxide Nanoparticles using NARC G1 Garlic Extract, their Photocatalytic Activity for Dye Degradation and Antioxidant Activity of Extract 🌟
3. Nature’s Nano-Factories: Pistacia khinjuk-Mediated FeNPs with improved Biomedical and Environmental Capabilities 🌿
4. Adsorptive Elimination of Recalcitrant Metallic Contaminants from Aqueous Effluents Employing a CuO‐Encapsulated Hydrogel Nanocomposite Supported by Cassia Nodosa‐Derived Biochar 💡
5. Exploring the Therapeutic Potential of Colocasia esculenta Leaves: A Study on Antioxidant, Antimicrobial and Thrombolytic Activities 🌸
6. Nutrapharmaceutical Attributes of Different Aerial Parts of Commiphora wighti 🌿
7. In vitro study of antioxidants and antimicrobial potential of Moringa oleifera leaves as a green food preservative in chicken burger

Prof. Yang Xiao | Tongji University | Best Researcher Award

Associate Professo at Jilin University, China

Xiao Y. is a prominent researcher specializing in lithium-ion batteries, thermal runaway safety, and mechanical energy storage. With numerous impactful publications in top-tier journals, Xiao contributes extensively to advancing battery safety, uncertainty quantification for autonomous systems, and flame-retardant electrolyte designs.

Professional Profiles:

💼 Experience:

Lead Researcher at Energy Storage Innovation Lab, focusing on thermal runaway and safety mechanisms for lithium-ion batteries.Published extensively in journals like Advanced Science, IEEE Access, and Chemical Engineering Journal.Collaborated on innovative solutions for autonomous vehicles and battery thermal management.

Machine Learning in Battery Estimation: This covers methods and theoretical developments for estimating the state of charge (SOC) and state of health (SOH) of batteries in electric vehicles.

Thermal Runaway Safety: Papers exploring the triggers, consequences, and mitigation methods for thermal runaway in lithium-ion batteries.

Battery Thermal Management: Reviews discussing strategies to enhance thermal management systems for EV batteries.

Mechanical Abuse and Battery Safety: Reviews analyzing mechanical abuse-related thermal runaway models across different scales.

Monte Carlo Dropout in Autonomous Vehicles: A paper on leveraging Monte Carlo dropout for real-time uncertainty quantification in object detection, with applications in autonomous vehicles.

Conclusion

The candidate demonstrates significant potential and achievements for the Best Researcher Award in Engineering at Jilin University. Their educational background, focused expertise in intelligent electric vehicles, and contributions to a nationally funded project underline their research capabilities and innovative approach. To further strengthen their candidacy, focusing on high-impact publications, securing PI roles, and fostering international collaborations will solidify their standing as a leading researcher.