Abdul Majeed | Material Sciences | Best Researcher Award

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Dr. Abdul Majeed | Material Sciences | Best Researcher Award

Dr. Abdul Majeed is a dynamic educator, researcher, and science communicator with 6 years of teaching and 11 years of research experience in materials science, blending experimental and theoretical expertise in nanomaterials, complex oxides, and magnetic materials. As an Assistant Professor at The Islamia University of Bahawalpur, he is dedicated to mentoring students and delivering engaging, hands-on physics instruction. His exceptional communication, organizational, and multi-tasking skills complement his academic contributions, fostering a collaborative learning environment and promoting scientific inquiry. Known for simplifying complex scientific concepts, Dr. Majeed is committed to knowledge dissemination, community engagement, and pursuing innovative research for societal benefit.

Profile

Education 🎓

Dr. Majeed earned his Ph.D. in Physics from the University of Malakand, focusing on the effects of cation substitution in hexagonal nanoferrites, preceded by an M.Phil. in Physics from The Islamia University of Bahawalpur on rare-earth doped nanocrystallites, and a BS in Physics from Islamia College University, Peshawar. His education encompasses solid theoretical foundations in materials science, magnetism, quantum mechanics, and computational physics. He is proficient in synthesis techniques like sol-gel auto-combustion, micro-emulsion, and ultrasound-assisted methods, and skilled in material characterization techniques including XRD, SEM, TEM, VSM, UV-Vis, FTIR, and impedance analysis. Dr. Majeed also completed a diploma in English Language, enhancing his academic and professional communication

Experience 👨‍🏫

Dr. Majeed is currently serving as an Assistant Professor in the Department of Physics at The Islamia University of Bahawalpur since March 2021, teaching undergraduate and MPhil-level physics courses, supervising research students, and coordinating academic and student affairs. Previously, he taught Physics and Mathematics at the Government Higher Secondary School Rehanpur, where he also held the role of Chief Proctor. He has over 11 years of research experience in materials science, particularly in synthesizing and characterizing complex oxide nanomaterials. He actively contributes to administrative duties including BS program coordination, LMS management, and student affairs leadership, reflecting his multifaceted involvement in academia and institutional development.

Awards & Recognitions 🏅

Dr. Abdul Majeed has received recognition for his impactful research through multiple publications in reputed journals such as Ceramics International, Journal of Alloys and Compounds, and Materials Science in Semiconductor Processing. His work is widely cited in the field of microwave absorption materials and magnetic oxides. He actively collaborates with international scholars and contributes to high-impact studies, particularly in experimental and computational material sciences. His academic excellence is reflected in his outstanding academic grades (CGPA above 3.5 in all degrees) and his leadership in teaching, coordination, and student mentorship roles. His visibility on platforms like Google Scholar and ResearchGate underscores his scholarly influence and engagement.

Research Interests 🔬

Dr. Abdul Majeed’s research centers on the synthesis, characterization, and modeling of nanostructured materials, including hexagonal ferrites, multiferroics, dielectric materials, and graphene-ferrite composites, for applications in high-frequency electronics, energy storage, and microwave absorption. His work bridges experimental physics with computational simulations, including DFT-based studies using WIEN2k, exploring the electronic, optical, magnetic, and structural behavior of advanced materials. He specializes in sol-gel, co-precipitation, and ultrasound-assisted synthesis methods and uses a variety of advanced characterization tools. His current projects explore co-substituted magnetic oxides, rare-earth doping effects, and smart materials for energy and sensor technologies.

Publications

Guadalupe Gabriel Flores-Rojas | Smart polymers | Best Researcher Award

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Dr. Guadalupe Gabriel Flores-Rojas | Smart polymers | Best Researcher Award

Guadalupe Gabriel Flores Rojas is a highly accomplished chemical scientist with expertise in synthesizing materials with antimicrobial and photophysical properties. With a PhD in Chemical Sciences from UNAM, his research spans enzyme immobilization, nanomaterials, dendritic polymers, and drug delivery systems. He has contributed significantly to radiation-induced polymerization, organometallic chemistry, and environmental remediation. Dr. Flores Rojas has held postdoctoral fellowships at top Mexican research institutions and currently serves at the University Center for Exact Sciences and Engineering (UDG). His prolific publication record and editorial roles demonstrate his commitment to advancing polymer science, nanotechnology, and bioactive materials.

Profile

Education 🎓

Guadalupe Gabriel Flores Rojas earned a PhD in Chemical Sciences from UNAM’s Institute of Nuclear Sciences (2014–2018), with a thesis on antimicrobial biomaterials for enzyme immobilization. He completed an MSc in Chemistry at UNAM’s Institute of Chemistry (2010–2012), focusing on Pd(II) catalysts for C–C coupling. He holds a bachelor’s in Industrial Chemistry with a macromolecules specialization from UNAM’s Cuautitlán campus (2006–2010), where he synthesized dendrimers for photonic applications. Earlier, he obtained his Chemical Technician diploma and a Microcomputer Operation diploma from CETIS No. 32 (2003–2006), building a strong foundation in analytical techniques and computer literacy for scientific applications.

Experience 👨‍🏫

Dr. Flores Rojas currently holds a postdoctoral fellowship at UDG, focusing on antimicrobial polymeric materials and nanoparticle-loaded systems for wastewater treatment. He previously worked at UNAM’s Materials Research Institute (2018–2020), designing dendritic photophysical compounds, and at the Institute of Nuclear Sciences (2018), synthesizing biopolymeric materials for controlled drug delivery via gamma radiation. His experience includes evaluating polymer mechanics, SEM/AFM imaging, EPR/NMR/MS spectroscopy, and supervising students. Earlier, he taught mathematics at CETIS No. 32 (2008), demonstrating strong analytical instruction skills. Across roles, he contributes as a journal reviewer, guest editor, and mentor while publishing extensively in international journals.

Awards & Recognitions 🏅

Dr. Flores Rojas has received recognition through prestigious postdoctoral fellowships from Mexico’s top institutions including UNAM and UDG. He serves as a guest editor at MDPI’s Polymers journal and actively reviews for international journals, reflecting peer recognition of his expertise. His leadership roles in scientific conferences like POLYMAT 2019 and his involvement in editorial contributions highlight his professional reputation. With over 15 indexed publications in high-impact journals such as Polymers, Cellulose, Macromol, and Inorganica Chimica Acta, his contributions to materials science, drug delivery, and nanotechnology have earned acclaim from the global scientific community and research peers.

Research Interests 🔬

Dr. Flores Rojas’s research centers on the synthesis and engineering of advanced materials with antimicrobial and photophysical properties. He explores gamma radiation and chemical polymerization to develop functionalized biomaterials, nanocomposites, and dendritic compounds for drug delivery, environmental cleanup, and energy transfer. His work on enzyme immobilization, organometallic catalysis, and core-shell nanoparticles integrates polymer chemistry with biomedical and environmental applications. He actively investigates biocompatibility, mechanical behavior, and surface morphology of polymers. With a multidisciplinary approach, he aims to develop smart, responsive materials for industrial, clinical, and energy-based innovations, contributing to sustainable and efficient material science solutions.

Publications

Mingshuna Shun Jiang | Intelligent Sensors and Detection Technology | Best Researcher Award

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Prof. Mingshuna Shun Jiang | Intelligent Sensors and Detection Technology | Best Researcher Award

Mingshun Jiang is a professor at the School of Control Science and Engineering, Shandong University 🎓. He is a doctoral supervisor and a young expert of Mount Taishan Scholars 🌟. He serves as the director of the Shandong Engineering Research Center for Intelligent Sensor and Detection Technology 🔬 and deputy director of the Institute of Intelligent Perception 🏛️. His research primarily focuses on intelligent sensors and detection technologies, with over 20 funded projects, including the National Natural Science Foundation and the National Key R&D Program 🏆. He has authored 60+ high-level academic papers in renowned journals 📑. His innovative contributions aim at monitoring complex structural states in high-end equipment 🚀. With extensive industry collaborations, his work has applications in aerospace, rail transit, and military technology 🛰️🚆.

Profile

Education 🎓

Mingshun Jiang earned his doctoral degree in Control Science and Engineering from Shandong University 🎓. His academic journey focused on developing intelligent sensor systems and detection methodologies 📡. His research expertise was cultivated through interdisciplinary learning, integrating control science, artificial intelligence, and structural health monitoring 🤖. His doctoral research emphasized advanced ultrasonic-guided wave detection and probabilistic diagnostic imaging techniques 🏗️. Jiang’s educational background provided him with expertise in designing smart sensor networks, optimizing detection mechanisms, and enhancing structural health monitoring systems ⚙️. With strong mathematical and engineering foundations, he developed novel algorithms for real-time damage localization and predictive maintenance 📊. His continuous learning and research efforts have been instrumental in bridging technological gaps in aerospace, rail transit, and high-end industrial applications 🚆✈️.

Experience 👨‍🏫

Mingshun Jiang has extensive research and academic experience, currently serving as a professor at Shandong University 🏛️. He has led over 20 major research projects, including the National Natural Science Foundation and National Key R&D Program 🌍. As the director of the Shandong Engineering Research Center, he focuses on intelligent sensor development and detection technologies 🔍. His research has been successfully applied in aerospace, rail transit, and high-end industrial monitoring 🚀🚆. He has supervised numerous doctoral students and collaborated with various enterprises on engineering solutions 🏗️. Jiang has also played a key role in technical verification and real-world applications of his research findings 📡. His leadership in academia and industry-driven research has established him as a leading expert in intelligent perception and structural health monitoring 🏆.

Awards & Recognitions 🏅

Mingshun Jiang has received multiple prestigious recognitions, including being a young expert of Mount Taishan Scholars in Shandong Province 🌟. His work has been supported by national and provincial funding agencies, highlighting his contributions to intelligent sensor technology 🏆. He has been awarded numerous grants under the National Natural Science Foundation and National Key R&D Program 🎖️. Jiang’s research achievements have been recognized through invited talks at leading academic conferences and industry collaborations 🤝. He has served as an executive director of the China Inspection and Testing Society, further solidifying his reputation in the field 🔬. His high-impact publications in top-tier journals have earned him accolades for innovation and research excellence 📑. Jiang continues to receive recognition for his contributions to the monitoring of complex structural states in high-end equipment 🚀.

Research Interests 🔬

Mingshun Jiang’s research focuses on intelligent sensors, structural health monitoring, and detection technology 📡. His work integrates artificial intelligence, probabilistic diagnostic imaging, and ultrasonic-guided wave techniques for real-time damage localization and predictive maintenance 🏗️. Jiang has developed innovative methodologies for monitoring key structural indicators such as boundary loads, damage detection, and component failures 🚆. His research aims to bridge the gap between technological innovation and application in aerospace, rail transit, and industrial monitoring 🛰️. His team has successfully engineered high-end monitoring systems that have undergone technical validation and real-world implementation 🔍. Jiang’s expertise extends to developing smart sensing layers for structural health monitoring, contributing to safer and more efficient industrial systems ⚙️. Through his interdisciplinary research, he continues to advance intelligent perception systems for next-generation monitoring applications 🚀.

Publications 
  • Ruijie Song, Lingyu Sun, Yumeng Gao, Juntao Wei, Chang Peng, Longqing Fan andMingshun Jiang*. Unsupervised temperature-compensated damage localization method based on damage to baseline autoencoder and delay-based probabilistic imaging. Mechanical Systems and Signal Processing, 230: 112649, 2025.
  • Hong Zhang ,Feiyu Teng , Juntao Wei , Shanshan Lv , Lei Zhang , Faye Zhang  and Mingshun Jiang*. Damage Location Method of Pipeline Structure by Ultrasonic Guided Wave Based on Probability Fusion.  IEEE Transactions on Instrumentation and Measurement, 73, 9504914, 2024.
  • . LingyuSun , Juntao Wei , Chang Peng , Wei Hao , Feiyu Teng , Longqing Fan , Lei Zhang , Qingmei Sui  and Mingshun Jiang. Ultrasonic guided wave-based probabilistic diagnostic imaging method with Single-Path-Scattering sparse reconstruction for Multi-Damage detection in composite structures.  Mechanical Systems and Signal Processing, 223, 111858, 2024.
  • XiaoshuQin , Shanshan Lv , Changhang Xu , Jing Xie , Lei Jia , Qingmei Sui  and Mingshun Jiang*. Implications of liquid impurities filled in breaking cracks on nonlinear acoustic modulation response: Mechanisms, phenomena and potential applications.  Mechanical Systems and Signal Processing, 200, 110550, 2023.
  • Shanshan Lv , Juntao Wei  and Mingshun Jiang*. Damage localization method for plate-like composite structure based on valid path optimization and search point matching.  Mechanical Systems and Signal Processing, 182, 109562, 2023.

Yangyang Ju | Smart gas sensor | Young Scientist Award

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Ms. Yangyang Ju | Smart gas sensor | Young Scientist Award

Yangyang Ju is an Assistant Professor at the Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology. She earned her Ph.D. in Physics and Mathematics from Tomsk Polytechnic University, Russia, in 2019, following her graduation from Jilin University in 2013. Her research focuses on nanomaterials, optoelectronic and gas-sensitive materials, smart gas sensors, and the stability of halide perovskite materials. She has led multiple research projects, including those funded by the National Natural Science Foundation of China and the Beijing Foreign High-level Young Talent Program. With 14 published articles in indexed journals and two patented oxygen sensors, her contributions to material science are significant. She collaborates with global research teams, including ITMO in Russia, and serves as a special issue editor for Materials. She is also a member of the Chinese Institute of Electronics.

Profile

Education 🎓

Yangyang Ju completed her undergraduate studies at Jilin University in 2013. She pursued her Ph.D. in Physics and Mathematics at Tomsk Polytechnic University, Russia, completing it in 2019. Her doctoral research focused on the development and stability of halide perovskite materials for optoelectronic applications. She later conducted postdoctoral research at the Beijing Institute of Technology, where she expanded her expertise in gas-sensitive nanomaterials and smart sensors. Through various academic and industrial collaborations, she has gained in-depth knowledge of material science, sensor technology, and advanced nanomaterials. Her education laid the foundation for her innovative work in trace gas sensors and perovskite-based devices. With a strong interdisciplinary background, she integrates physics, chemistry, and engineering principles to develop cutting-edge materials for environmental and industrial applications.

Experience 👨‍🏫

Yangyang Ju is currently an Assistant Professor at the Beijing Institute of Technology’s Advanced Research Institute of Multidisciplinary Science. She has led multiple national and international research projects, including grants from the National Natural Science Foundation of China and the Beijing Foreign High-level Young Talent Program. As a Principal Investigator, she has successfully managed projects focusing on perovskite materials and gas sensors. Previously, she collaborated with ITMO University in Russia, where she worked on phase purity control in quasi-2D PeLEDs, leading to multiple indexed publications. Additionally, she has held key roles in technology development projects with Zhijing Technology (Beijing) Co., Ltd. Her work has led to two patents on oxygen detection devices. She also serves as a special issue editor for Materials and is a professional member of the Chinese Institute of Electronics.

Research Interests 🔬

Yangyang Ju specializes in trace gas sensors, metal halide perovskites, gas-sensitive materials, and nanomaterials. Her research explores the stability of halide perovskites under different environmental conditions, focusing on their applications in optoelectronics and gas sensing. She has contributed significantly to understanding the impact of oxygen concentration on the fluorescence of 2D tin-based perovskites, leading to the development of fiber-optic trace oxygen sensors with high sensitivityhttps://cognitivescientist.org/?p=12953&preview=true. Her work has been published in Matter, Advanced Functional Materials, and Advanced Science. She has also collaborated with ITMO University in Russia to optimize phase purity control in quasi-2D PeLEDs. Her studies on perovskite-oxygen interactions have provided critical insights into material stability and sensor applications. Through national and international collaborations, she continues to advance research on smart gas sensors and high-performance nanomaterials for industrial and environmental monitoring.

Awards & Recognitions 🏅

Yangyang Ju has received several prestigious awards, including funding from the Beijing Foreign High-level Young Talent Program (2024) and the Young Faculty Startup Program of Beijing Institute of Technology. She was also awarded grants by the National Natural Science Foundation of China for her pioneering research in gas-sensitive materials and nanotechnology. Her work in material stability and sensor development has been recognized through national and international collaborations, including a cooperative exchange project with the Fundamental Research Foundation of Belarus. She has received recognition for her outstanding contributions to perovskite research and gas sensor development, leading to multiple high-impact journal publications. Her patents on oxygen detection devices further demonstrate her innovation in applied material sciences.

Publications 

  • Catalytic Sensor-Based Software-Algorithmic System for the Detection and Quantification of Combustible Gases in Complex Mixtures

    Sensors and Actuators A: Physical
    2025-03 | Journal article
    DOI: 10.1016/j.sna.2025.116458
    CONTRIBUTORS: Tatiana Osipova; Alexander Baranov; Haowen Zhang; Ivan Ivanov; Yangyang Ju

  • Response of Catalytic Hydrogen Sensors at Low and Negative Ambient Temperatures

    IEEE Sensors Letters
    2023-12 | Journal article
    DOI: 10.1109/LSENS.2023.3331376
    CONTRIBUTORS: Vladislav Talipov; Alexander Baranov; Ivan Ivanov; Yangyang Ju

  • Color‐Stable Two‐Dimensional Tin‐Based Perovskite Light‐Emitting Diodes: Passivation Effects of Diphenylphosphine Oxide Derivatives

    Advanced Functional Materials
    2023-07 | Journal article
    DOI: 10.1002/adfm.202301304
    CONTRIBUTORS: Chenhui Wang; Siqi Cui; Yangyang Ju; Yu Chen; Shuai Chang; Haizheng Zhong

  • Fast-Response Oxygen Optical Fiber Sensor based on PEA<sub>2</sub>SnI<sub>4</sub> Perovskite with Extremely Low Limit of Detection

    Advanced Science
    2022 | Journal article
    DOI: 10.1002/advs.202104708

 

Partha Sengupta | Structural Health Monitoring | Best Researcher Award

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Dr.Partha Sengupta | Structural Health Monitoring | Best Researcher Award

 

AECOM,India

Profile

Education

He holds a Ph.D. in Civil Engineering from the Indian Institute of Engineering Science and Technology (IIEST), Shibpur (2018–2023), with a perfect CGPA of 10/10. His doctoral research focused on “Finite Element Model Updating of Structures in Bayesian Framework and Enhanced Model Reduction Techniques.” Prior to this, he completed his M.Tech in Civil Engineering from IIEST, Shibpur (2014–2016), earning a CGPA of 9.03/10, with a thesis on the “Application of Ground Penetrating Radar in Concrete Evaluation, Pavement Profile, and Utility Detection.” He obtained his B.Tech in Civil Engineering from West Bengal University of Technology (2010–2014) with a CGPA of 9.02/10.

Professional Experience

Dr. Partha Sengupta conducts research in Structural Health Monitoring, focusing on model updating within a Bayesian framework using an enhanced model reduction technique with incomplete modal and time history response data. His work involves developing an iterative model reduction technique in the frequency domain by eliminating stiffness terms from the transformation equation, effectively mapping the full model and predicting its dynamic responses. The modified equation depends on measured modal responses and invariant mass matrices, eliminating the need for repeated evaluations of stiffness terms typically required in structural health monitoring (SHM) updating algorithms. Furthermore, this model reduction approach is integrated with a sub-structuring scheme, making it applicable to large finite element models. Additionally, Dr. Sengupta has developed an improved Bayesian model updating technique within the Transitional Markov Chain Monte Carlo (TMCMC) framework in the frequency domain, incorporating modifications to enhance the TMCMC algorithm.

AWARDS & ACHIEVEMENTS:

He received the Professor Amiya K. Basu Research Award in Structural Dynamics from the Department of Civil Engineering, IIEST Shibpur, and an additional monthly stipend of ₹10,000 from MHRD in 2022, along with his institute fellowship. He was also awarded the Best Paper Award in “Control and Health Monitoring” at the International Conference on Materials, Mechanics, and Structures (ICMMS 2020) in Kozhikode, India. As a reviewer, he has contributed to the G20 C20 International Conference on Interdisciplinary Approaches in Civil Engineering for Sustainable Development, published by Springer Nature, as well as Engineering Structures and Computer Methods in Applied Mechanics and Engineering, prestigious SCI journals published by Elsevier. Additionally, he received the Ministry of Human Resource and Development (MHRD) Institute Fellowship for pursuing his Ph.D. and M.Tech, having qualified GATE 2014 with a 99 percentile.

Publications