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

Manijeh Beigi | Medical Physics | Best Researcher Award

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Dr. Manijeh Beigi | Medical Physics | Best Researcher Award

Dr. Manijeh Beigi is an Assistant Professor in the Radiation Oncology Department at Iran University of Medical Sciences. She specializes in dosimetry, radiotherapy treatment planning, and quality audits, with a focus on using machine learning for radiomics and dosiomics analysis. Dr. Beigi earned her Ph.D. in Medical Physics from Tehran University of Medical Sciences in 2018, where she researched the application of Diffusion Tensor Imaging (DTI) in radiotherapy planning. With over a decade of experience in radiotherapy physics, she has worked in multiple hospitals, including Imam Hosein, Haft-e-Tir, and Pardis Niloo Cancer Center. She is actively involved in research on predicting radiotherapy toxicity and advanced MR imaging applications. Dr. Beigi has mentored numerous students, contributed to high-impact journals, and presented at international conferences. Her research aims to enhance radiotherapy precision and patient safety through cutting-edge imaging and AI-driven models. 🎓🔬

Profile

Education 🎓

Dr. Manijeh Beigi holds a Ph.D. in Medical Physics (2018) from Tehran University of Medical Sciences, where she developed automated clinical target volume determination for glioma treatment using multiparametric MRI. She completed her M.Sc. in Medical Physics (2010) at Tarbiat Modares University, focusing on radiotherapy dosimetry and quality audits in Varian linear accelerators. Her coursework covered key topics such as radiotherapy physics, radiobiology, MRI, CT, and PET physics, statistical methods, and treatment planning. Throughout her academic journey, she has specialized in advanced imaging techniques, radiomics, and AI-based predictive modeling for radiotherapy applications. Dr. Beigi’s education has provided her with strong expertise in medical physics, treatment planning optimization, and quality assurance, positioning her as a leader in radiation oncology research and innovation. 📚

Experience 👨‍🏫

Dr. Manijeh Beigi has been an Assistant Professor at Iran University of Medical Sciences since 2020, where she focuses on radiotherapy physics, treatment planning, and quality assurance. Previously, she worked as a Radiotherapy Physicist at Imam Hosein Hospital (2010-2016), Haft-e-Tir Hospital (2016-Present), and Pardis Niloo Cancer Center (2019-2021), specializing in 3D conformal radiotherapy, IMRT planning, machine QA, and dosimetry. She was also a Research Assistant (2012-2018) at Tehran University of Medical Sciences, collaborating on quantitative MRI and spectroscopy research. Dr. Beigi has significant experience in mentoring students, managing research projects, and implementing AI-driven radiotherapy solutions. Her work integrates imaging and machine learning to optimize treatment efficacy and minimize patient toxicity. 💼🔬

Research Interests 🔬

Dr. Manijeh Beigi’s research centers on dosimetry, radiotherapy quality audits, and the application of machine learning in radiomics and dosiomics. She explores AI-driven models to predict radiotherapy toxicity and optimize treatment planning. Her work integrates advanced MRI techniques, such as Diffusion Tensor Imaging (DTI), to enhance clinical target volume delineation for gliomas and other cancers. She investigates imaging biomarkers to assess radiation-induced damage and improve treatment precision. Additionally, Dr. Beigi is actively involved in multi-disciplinary research collaborations, utilizing deep learning for medical image analysis. Her contributions aim to advance radiation oncology by improving accuracy, reducing side effects, and personalizing treatment plans. 🧬📡

Dr. Manijeh Beigi has received several accolades for her contributions to medical physics and radiotherapy research. She has been recognized for her work in AI-driven radiomics and dosiomics at international conferences, including ESTRO and AAPM. Her research on glioma segmentation using DTI and radiotherapy toxicity prediction has been published in top-tier journals. She has also been awarded grants for her studies on advanced MRI applications in radiotherapy planning. Additionally, Dr. Beigi has played a key role in multi-institutional research collaborations, earning recognition for her leadership in medical imaging and quality assurance. 🏆🎖️

Publications 📚

Hongjun JIN | Nuclear Medicine Molecular Imaging | Interdisciplinary Innovation Prize

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Prof Dr.  Hongjun JIN | Nuclear Medicine Molecular Imaging | Interdisciplinary Innovation Prize

: Sun Yat-sen University Fifth Affiliated Hospital, china

Profile

Education

Dr. Hongjun Jin is a Principal Investigator in Nuclear Medicine and a Doctoral Supervisor of Molecular Medicine at Sun Yat-sen University. He earned his PhD in Biochemistry from Texas A&M University in 2007, following a BS in Radiochemistry from Lanzhou University in 1994 and a BMed in Chinese Medicine from Beijing University of Chinese Medicine in 1997. He completed his postdoctoral training at PNNL from 2008 to 2012 and served as a radiology instructor at Washington University in St. Louis from 2012 to 2017. Since 2017, he has led the PET and radiochemical laboratory at his institute, having been recruited through Sun Yat-sen University’s “Hundred Talents Program.”

Research and Innovations:

1) General Research Fund for National Sciences Foundation of China (NSFC), 82372004,
“F-18 labelled PET probe targeting P2X7 receptor for Evaluation of Treatment for AD”
01/01/2024-12/31/2027￥480,000,
2) Key R&D project, 0007/2022/AKP, Macao S&T Fund (FDCT),“R&D of an Integrated
Molecular probe for Targeted TNFR2 New Tumor Diagnosis and
Treatment”,01/01/2024-12/31/2027,￥2,400,000 (out of ￥120,000,000)
3) Guangdong Provincial Enterprise Joint Fund, 2021A1515220004, Guangdong Province
“PET/MRI Neuromolecular Imaging Quantitative Study of New Drug Targeting Sigma1

Research Project

  • 1) Outstanding Foreign Young Scientist Talent Program, RFIS, 82150610508 NSF-CN，
    “ Establishment and drug evaluation of acetylcholinergic and dopaminergic
    neuromolecular probes (18F VAT and 18F-DTBZ) PET brain imaging quantitative
    system for Parkinson’s disease” 2022/01-2022/12，￥400,000
  • General Research Fund for NSFC, 81871382, “F-18 labelled PET probe targeting P2X7
    receptor for early detection of AD”01/01/2019-12/31/2022￥570,000
  • SYSU “Hundred Talent “Starting Fund (Period I)” SYSU-FA10/01/2017-09/30/2022
    ￥2,500,000
  • National Key R&D Program for Precision Medicine, 2018YFC0910601 Real-time, highdimensional, multi-modality imaging co-registration and theronoastic strategies for
    oesophageal squamous-cell carcinomas10/01/2018-12/31/2020￥1,272,500 (out of
    ￥19,230,000)
  • Sun Yat-sen University Military Industry Cultivation Project, 89000-18843403 SYSU
    “Key Technologies of Molecular Imaging of Immune Dysfunction in Microgravity
    Environment”, 2019/08-2021/12￥1,890,00
  • Researchers Initiate Clinical Research Project (IIT) Award, SYSU-FAH”A single-center,
    open, prospective assessment of the diagnostic significance of 18F-FDG PET/CT
    dynamic imaging and gene sequencing in detecting metastatic lesions of non-small cell
    lung cancer”,2020/10-2021/09￥50,000
  • COVID-19 infection prevention and control emergency S&T, ZH22036302200036PWC,
    Zhuhai City”Specific Targeting S- protein of SARS-CoV-2 PET molecular imaging
    probe”2020/08-2021/09,￥70,000

Citation Index:

Google Scholar Citations: 8684 (total) 7943 (since 2020)
h-index 26(total) 20 (since 2020)
i10-index 52(total) 39(since 2020)

Publications