Mengting liu | Cell Structure Analysis | Best Researcher Award

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Assoc. Prof. Dr. Mengting liu | Cell Structure Analysis | Best Researcher Award

Assoc. Prof. Dr. Mengting liu, Xi’an Jiaotong University, China

Dr. Mengting Liu is an Associate Professor and Master’s Supervisor at the School of Electrical Engineering, Xi’an Jiaotong University. A promising scholar in advanced battery materials, she has made significant contributions to lithium-sulfur, sodium-ion, and zinc-based battery technologies. Dr. Liu holds a Ph.D. in Condensed Matter Physics from Lanzhou University and completed joint doctoral training at the Georgia Institute of Technology, under the mentorship of Prof. Gleb Yushin. As the principal investigator of several high-profile national projects, her work centers around electrolyte design, interfacial chemistry, and cathode material innovation. Dr. Liu has authored over 50 SCI papers in top-tier journals and holds more than 30 patents, reflecting her innovative contributions to electrochemical energy storage. With an H-index of 24 and successful technological transformations, she stands out as a leading young researcher shaping the future of sustainable energy materials in China and globally.

Publication Profile: 

scopus

✅ Strengths for the Award:

  1. High-Impact Publications

    • Over 50 SCI-indexed papers in world-renowned journals such as J. Am. Chem. Soc., Advanced Materials, Energy & Environmental Science, and Nano Energy.

    • Numerous first-author and corresponding-author contributions, showcasing leadership in research.

  2. Innovation in Battery Technology

    • Pioneer in sodium-ion, lithium-sulfur, and zinc-ion battery materials, particularly focusing on interfacial engineering and electrolyte design.

    • Leads cutting-edge research in cold-environment batteries and high-voltage cathodes.

  3. Recognition and Funding

    • Principal Investigator of multiple National Natural Science Foundation of China (NSFC) projects.

    • Successfully translated 3 technologies into industrial application – indicating practical impact.

  4. Patent and Intellectual Property

    • 30+ patents applied/granted, reflecting a commitment to innovation and intellectual property creation.

  5. Academic Metrics

    • H-index: 24, indicating solid citation impact and relevance in the field.

  6. International Exposure

    • Conducted joint Ph.D. research at Georgia Institute of Technology, under the mentorship of global battery expert Prof. Gleb Yushin.

  7. Mentorship and Leadership

    • Serves as Master’s Supervisor, contributing to the training of the next generation of researchers.

🔧 Areas for Improvement:

  1. Public and Global Recognition

    • While the academic output is outstanding, broader international visibility (e.g., keynote speeches, global consortia participation) could strengthen recognition.

  2. Cross-disciplinary Expansion

    • Exploring AI-driven materials discovery or solid-state battery systems could further diversify her portfolio and enhance future relevance.

  3. Team Expansion and Postdoctoral Supervision

    • Expanding mentorship to include postdoctoral researchers and international collaborators could amplify research output and impact.

📚 Education:

Dr. Mengting Liu earned her Ph.D. in Condensed Matter Physics from Lanzhou University (2015–2021), focusing on electrochemical materials and battery interface design. During her doctoral studies, she was awarded a prestigious national scholarship for joint training at the Georgia Institute of Technology (2018–2020), where she conducted cutting-edge research in the School of Materials Science and Engineering under Prof. Gleb Yushin. Her work there focused on advanced cathode materials for sodium-ion and lithium-sulfur batteries, combining material design, characterization, and performance optimization. Her academic foundation is grounded in interdisciplinary training, bridging physics, chemistry, and materials science. Her research was pivotal in understanding phase transitions, solid–electrolyte interfaces, and novel electrolyte systems, which has set the stage for her postdoctoral and faculty research directions in energy storage. Her academic path reflects a strong alignment with innovation in clean energy technologies and fundamental materials science.

🧪 Experience:

Since November 2021, Dr. Mengting Liu has served as an Assistant Professor (Qingxiao Program A) at Xi’an Jiaotong University’s School of Electrical Engineering. She is actively involved in supervising graduate students and leading independent research in electrochemical energy storage. Prior to this role, she spent over two years at the Georgia Institute of Technology during her doctoral studies, collaborating with international experts and engaging in high-impact research. She has led several major research projects funded by the National Natural Science Foundation of China, focusing on electrolyte structure regulation and cathode performance optimization. Her industrial collaborations have led to three technological transformations and over 30 patents. Dr. Liu’s interdisciplinary background and international exposure have enabled her to contribute extensively to frontier research in lithium-ion, lithium-sulfur, and sodium-ion battery technologies. Her teaching and mentoring roles complement her research, contributing to talent development in the energy storage field.

🔬 Research Focus:

Dr. Mengting Liu’s research is centered on electrochemical energy storage, with a particular focus on sodium-ion, lithium-sulfur, and lithium-ion batteries. Her work involves the design of high-performance cathode materials, such as layered oxides and composite structures, and the development of nonflammable, stable electrolytes that enable long-life and high-temperature battery operation. She is especially recognized for her studies on interfacial engineering, including cathode-electrolyte interphases (CEI) and solid electrolyte interphases (SEI), which are critical to battery safety and longevity. Her recent research expands into entropy-regulated materials and polymer electrolytes to tackle extreme environmental conditions like ultra-low temperatures. With a holistic approach combining material synthesis, mechanism analysis, and performance validation, Dr. Liu aims to develop next-generation batteries with high energy density, long cycle life, and environmental adaptability. Her research is not only academically impactful but also industrially relevant, bridging fundamental science with practical innovation.

📄 Publication Top Notes: 

  1. 🧯 Cation−Anion Regulation in Flame-Retardant Electrolytes for Safe Na-Ion Batteries – J. Am. Chem. Soc. (2025)

  2. 🔥 Nonflammable Sulfone-Based Electrolytes for High-Temp LiNi0.5Mn1.5O4 – ACS Energy Lett. (2024)

  3. ❄️ Inorganic-Rich Interphases via Nonflammable Electrolytes for Low-Temp LiNi0.5Mn1.5O4 – Adv. Funct. Mater. (2024)

  4. ⚡ Tailoring Cathode–Electrolyte Interface for High-Power Lithium–Sulfur Batteries – Nano-Micro Lett. (2025)

  5. 🔋 Wadsley–Roth Structure Engineering for High-Power Li-Ion Batteries – Energy Environ. Sci. (2024)

  6. 🔄 Biphaseto-Monophase Transition in Na0.766+xLixNi0.33-xMn0.5Fe0.1Ti0.07O2 – Carbon Energy (2024)

  7. 🛡️ Zn-Ion Channels with Double-Network Layer for Stable Zinc Anodes – Energy Storage Mater. (2024)

  8. 🔗 In-Situ Polymerized Ether Gel Electrolyte for High-Voltage Li-Metal Batteries – Adv. Funct. Mater. (2024)

  9. 🔧 Reinforced Bimetal Oxide-Based PEO Electrolytes for Stable Interfaces – Adv. Funct. Mater. (2025)

  10. ♻️ Phase-Stable and Air-Stable O3-Type Entropy-Reinforced Na Cathodes – Nano Energy (2025)

🧾 Conclusion:

Dr. Mengting Liu is exceptionally well-qualified for the Best Researcher Award. Her track record reflects a rare blend of deep theoretical knowledge, experimental expertise, and real-world application in the fast-evolving field of energy storage.

With a robust publication portfolio, a leadership role in nationally-funded projects, multiple technological transformations, and strong international training, she has already demonstrated leadership and innovation that align perfectly with the purpose of the award.

Bilal Ahmad MIr | Microbial Cell Biology | Best Researcher Award

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Mr.Bilal Ahmad MIr | Microbial Cell Biology | Best Researcher Award

Mr.Bilal Ahmad MIr | Jeonbuk National University | South Korea

Bilal Ahmad Mir is a dedicated Ph.D. scholar at the NSCL Lab, Jeonbuk National University, South Korea, with a strong focus on artificial intelligence, machine learning, and computational sciences. Born on May 7, 1993, Bilal has a diverse academic and research background encompassing data science, deep learning, computational biology, and chemistry. He combines technical acumen with innovative thinking to solve real-world scientific problems. Fluent in English, Urdu, and Kashmiri, Bilal’s research is published in leading international journals. He is well-versed in programming languages such as Python, R, MATLAB, and Java, and excels in cloud computing technologies. His scholarly contributions span predictive modeling, neural networks, and intelligent systems. His enthusiasm for technological advancements and interdisciplinary research positions him as a strong candidate for prestigious research awards, reflecting both his scientific rigor and passion for discovery.

Publication Profile:

Google Scholar

✅ Strengths for the Award:

  1. Interdisciplinary Expertise:
    Bilal’s work spans artificial intelligence, deep learning, computational biology, and chemistry, reflecting strong interdisciplinary depth. He has applied advanced ML models like CNNs, LSTMs, and GRUs across bioinformatics and synthetic chemistry, showing his adaptability and scientific creativity.

  2. Research Publications:
    He has published in high-impact journals such as Journal of Molecular Biology, Computational Biology and Chemistry, and Sustainability. These works demonstrate novelty and real-world relevance, e.g., sustainable solar energy prediction and enhancer identification in genomics.

  3. Technical Proficiency:
    Bilal is proficient in multiple programming languages (Python, R, MATLAB, Java, etc.) and research tools, which enhances his capability to design, implement, and optimize advanced computational models.

  4. Academic Progression:
    His academic journey from a B.Sc. through MCA to a Ph.D. in South Korea demonstrates commitment to continuous learning and global academic engagement.

  5. Early Research Experience:
    His MCA project on real-time facial recognition using Raspberry Pi and GSM modules showed practical innovation, integrating software and hardware for applied AI.

⚠️ Areas for Improvement:

  1. Citation and Impact Metrics:
    While Bilal has strong publications, more details on citations, h-index, or conference presentations would strengthen his profile for global competitive awards.

  2. Leadership in Projects:
    Future applications should highlight any mentoring, project leadership, or grant involvement, which are important indicators of research independence.

  3. Community Contribution:
    Participation in open-source contributions, academic societies, or organizing workshops/seminars would further showcase his community engagement and outreach efforts.

  4. Formal Language Polishing:
    Refinement in presenting his resume/CV with consistent formatting and professional tone would improve the impression in award submissions.

🎓 Education:

Bilal Ahmad Mir began his academic journey with a B.Sc. in Mathematics, Electronics, and IT from Sri Pratap College, Srinagar, graduating with 60% in 2016. He then pursued an MCA (Master of Computer Applications) at the Islamic University of Science and Technology, Awantipora, where he excelled in courses like algorithms, AI, ML, data structures, and cloud computing, graduating with a CGPA of 7.76/10 in 2019. He is currently enrolled as a Ph.D. scholar at Jeonbuk National University, South Korea, in the Department of Electronics and Information Engineering. His doctoral work at the NSCL Lab integrates deep learning, computational chemistry, and molecular biology, contributing to high-impact publications. His solid academic foundation and continued pursuit of knowledge equip him with the interdisciplinary expertise necessary to tackle complex computational and AI challenges in life sciences and beyond.

🧪 Experience:

Bilal’s academic and research journey spans across domains of intelligent systems, AI, and computational biology. During his MCA, he completed a dissertation on a real-time “Intelligent Face Recognition System” using Raspberry Pi and Eigenface recognition, integrating image processing with GSM modules. As a Ph.D. researcher at NSCL Lab in South Korea, he has been involved in multiple projects focusing on neural networks, such as CNNs, LSTMs, and GRUs, for bioinformatics and organic chemistry applications. His hands-on experience in deep learning, data preprocessing, and predictive modeling has resulted in several peer-reviewed journal publications. He is proficient in Python, MATLAB, R, and Java and is experienced with research tools used for analyzing genetic and chemical data. Bilal’s versatility across both hardware (e.g., Raspberry Pi) and software research platforms positions him as a highly capable and adaptable scientist in the interdisciplinary field of AI-powered scientific research.

🏆 Awards and Honors:

Bilal Ahmad Mir has received multiple accolades that highlight his academic potential and creative engagement in both academic and extracurricular domains. He secured the 1st rank in a national-level quiz competition organized during the Digital India Week in 2015, reflecting his strong grasp of technical knowledge and current affairs. During his post-graduate studies, he was honored with the title of “Mr. Fresher” for the MCA batch of 2016 at the Islamic University of Science and Technology, recognizing his leadership and interpersonal qualities. His growing contribution to impactful scientific research has earned him recognition among academic peers. With peer-reviewed publications in top-tier journals and ongoing contributions to AI-driven biological and chemical modeling, Bilal is on a trajectory of continued academic success. These honors reflect both his intellect and his dedication to continuous learning and innovation, making him a strong contender for prestigious awards such as the Best Researcher Award.

🔬 Research Focus:

Bilal Ahmad Mir’s research focus lies at the confluence of artificial intelligence, deep learning, and life sciences. He applies cutting-edge machine learning techniques—particularly CNNs, LSTMs, and GRUs—to computational biology and chemistry, aiming to solve intricate molecular problems. His key research areas include enhancer identification, RNA modification prediction, and retrosynthetic pathway modeling. Through deep learning architectures and stacked ensemble models, he enhances the accuracy of biological predictions and synthesis pathway generation. His recent work also explores sustainable energy research, applying AI to predict recombination losses in perovskite solar cells. Bilal’s interdisciplinary work is distinguished by its practical application to genomics, cheminformatics, and renewable energy, blending technical rigor with scientific curiosity. His aim is to use AI not only for theoretical insights but also for impactful innovations in healthcare, sustainable energy, and synthetic biology. This makes him a versatile and forward-thinking researcher in the modern AI landscape.

📚 Publication Titles Top Notes:

  1. 🧬 Improving enhancer identification with a multi-classifier stacked ensemble model – Journal of Molecular Biology, 2023

  2. 🔄 Sb-net: Synergizing CNN and LSTM networks for uncovering retrosynthetic pathways in organic synthesis – Computational Biology and Chemistry, 2024

  3. 🔋 Toward Sustainable Solar Energy: Predicting Recombination Losses in Perovskite Solar Cells with Deep Learning – Sustainability, 2025

  4. 🧪 GRU-Based Prediction of RNA 5-Hydroxymethylcytosine Modifications – 정보 및 제어 논문집

🧾 Conclusion:

Bilal Ahmad Mir is a highly promising and emerging researcher in the AI-bioinformatics interface. His dedication to interdisciplinary research, proven publication record, and hands-on approach to complex problems make him a strong candidate for the Best Researcher Award. With ongoing contributions, especially in deep learning for biology and sustainable energy, and with slight enhancements in scientific communication and visibility, he is on a trajectory toward impactful global research leadership.