Ishrat Mahjabeen | Tumor Biomarkers | Best Scholar Award

Dr. Ishrat Mahjabeen | Tumor Biomarkers | Best Scholar Award

Academician/Research Scholar |COMSATS University Islamabad, Pakistan

Dr. Ishrat Mahjabeen is an accomplished molecular biologist and cancer geneticist currently serving as Associate Professor at COMSATS University Islamabad, with extensive expertise in head and neck cancer, gene regulation, and microRNA biology. She earned her PhD in Cancer Genetics from COMSATS and recently completed a prestigious Fulbright Postdoctoral Fellowship at Brown University, USA. Dr. Mahjabeen has over two decades of research and academic experience, contributing significantly to molecular oncology through her work on base excision repair pathway genes, miRNA dysregulation, and genetic polymorphisms. She has also been an active educator, having supervised numerous undergraduate and graduate students and taught a variety of bioscience courses. Her scholarly contributions include a Springer book chapter and multiple international conference presentations. With a deep commitment to cancer research and academic mentorship, she continues to shape the future of biomedical science in Pakistan and beyond through her innovative work and international collaborations.

Profile

🎓 Education

Dr. Ishrat Mahjabeen holds a diverse academic background rooted in biological sciences. She earned her Postdoctoral Research Fellowship (2023–2024) from Brown University, USA, through the esteemed Fulbright Scholarship Program. Her PhD in Cancer Genetics was awarded by COMSATS Institute of Information Technology Islamabad in 2013, where she conducted a thesis on deregulated base excision repair pathway genes and microRNAs in head and neck cancer. Prior to her doctorate, she completed her M.Phil. in Developmental Biology from Quaid-e-Azam University in 2006, focusing on methylcobalamin’s role in sciatic nerve regeneration in rabbits. Her academic journey began with an MSc in Zoology from the University of Arid Agriculture Rawalpindi in 2003, where she explored the impact of temperature on arthropod populations. This strong foundation across developmental biology, zoology, and cancer genetics has equipped her with a multi-dimensional understanding of complex biological systems, enabling her significant contributions to cancer research and biosciences education.

🧪 Experience

Dr. Ishrat Mahjabeen has over 20 years of rich research and academic experience in biosciences and molecular oncology. Since May 2024, she has been serving as Associate Professor at COMSATS University Islamabad, where she previously held the positions of Assistant Professor (2017–2024) and Senior Scientific Officer (2014–2017). Her academic journey began with research fellowships at leading institutions, including the Center for Molecular Biology of Oral Diseases at the University of Illinois at Chicago, Quaid-e-Azam University, and PMAS Arid Agriculture University. She also contributed as an honorary lecturer in Talagang. As a committed educator, she has supervised over 140 students across BS, MS, and PhD levels and has taught advanced courses in molecular biology, research techniques, and biochemistry. Her leadership in academia is marked by dedication to translational cancer research, curriculum development, and capacity building in the life sciences, fostering innovation and scientific rigor among emerging researchers.

🏅 Awards and Honors

Dr. Ishrat Mahjabeen has been honored with the prestigious Fulbright Postdoctoral Research Fellowship (2023–2024) at Brown University, USA—an international recognition of her excellence in cancer genetics research. Her academic achievements and research impact have earned her continued faculty promotions within COMSATS University Islamabad, reflecting her contributions to teaching, student mentorship, and scientific leadership. She has received recognition for her work through invited talks and presentations at notable global scientific platforms, including the American Association of Extracellular Vesicles (AAEV 2023) in Boston and multiple international conferences in Turkey and Pakistan. Her chapter contribution in a Springer book on head and neck cancer highlights her thought leadership in molecular oncology. These accolades underscore her pioneering work in cancer biology, particularly in miRNA and gene regulation research, as well as her role in fostering academic excellence and collaborative innovation across borders.

🔬 Research Focus

Dr. Ishrat Mahjabeen’s research centers on molecular oncology with a focus on genetic and epigenetic mechanisms underlying cancer development, particularly head and neck cancers. Her PhD work explored deregulated base excision repair pathway genes and the role of microRNAs in tumor progression. She investigates how miRNA dysregulation, gene polymorphisms, and checkpoint kinase alterations contribute to tumorigenesis, with significant emphasis on gliomas, gastric cancer, and H. pylori-associated pathogenesis. Dr. Mahjabeen is also involved in studying exosomal miRNAs and their functional targets, aiming to identify biomarkers and therapeutic targets. Her translational research approach integrates molecular biology with bioinformatics to unravel cancer pathways and personalize treatment strategies. Her postdoctoral research at Brown University further broadened her scope, allowing global collaborations and access to advanced genomic tools. She remains committed to bridging basic research and clinical relevance to improve early cancer diagnostics and targeted therapies in low-resource healthcare settings.

Conclusion

Dr. Ishrat Mahjabeen stands out as a dynamic academic and cancer researcher, combining excellence in teaching, mentorship, and cutting-edge molecular oncology. Her global exposure, leadership in translational research, and unwavering commitment to biosciences make her an asset to the scientific community.

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Publications

Do Gun Kim | Environmental Engineering | Best Researcher Award

Prof Dr. Do Gun Kim | Environmental Engineering | Best Researcher Award

Associate Professor | Sunchon National University, South korea

Dr. Do Gun Kim is an accomplished environmental engineer and Associate Professor at Sunchon National University, Republic of Korea. With over two decades of academic, research, and industry experience, his expertise spans advanced water, wastewater, and groundwater treatment technologies. Dr. Kim began his career in the private sector with Kavotech and Ssangyong Engineering before transitioning to academia, holding key positions at JEI University and Kyung Hee University. He earned his B.S. from the University of Seoul and both his M.S. and Ph.D. from KAIST in Environmental Engineering. Dr. Kim has published extensively, with over 80 peer-reviewed articles and multiple patents to his name. His research emphasizes physico-chemical treatment processes, innovative materials for pollution remediation, and non-point source pollution management. He is recognized for blending theoretical knowledge with practical applications to address environmental challenges in water quality and sustainable engineering.

Profile

🎓 Education

Dr. Kim holds a Ph.D. in Environmental Engineering from Korea Advanced Institute of Science and Technology (KAIST), completed in August 2010, where his research focused on advanced water treatment technologies. Prior to his doctorate, he earned a Master of Science degree in Environmental Engineering from KAIST in February 1996, where he developed his foundation in physico-chemical treatment processes. His academic journey began with a Bachelor of Science in Environmental Engineering from the University of Seoul, which he completed in February 1993. Throughout his educational career, Dr. Kim has demonstrated a consistent commitment to addressing complex environmental challenges, particularly in the areas of pollution control and sustainable resource management. His academic background is further strengthened by two national engineering licenses in water pollution control and noise and vibration mitigation, awarded by the Human Resources Development Service of Korea. These qualifications support his applied and interdisciplinary approach to environmental research and teaching.

🧪 Experience

Dr. Do Gun Kim is currently an Associate Professor in the Department of Environmental Engineering at Sunchon National University since July 2020. Before this, he served as a Research Professor and Postdoctoral Researcher at Kyung Hee University (2010–2020), contributing to advanced civil and environmental engineering research. He also briefly worked as an Assistant Professor at JEI University in 2016, teaching environment and health courses. Dr. Kim’s professional experience includes significant time in the private sector with companies like SIB Co., Ltd. (2009–2010), Kavotech Co., Ltd. (2003–2008), and Ssangyong Engineering & Construction Co., Ltd. (until 2002), where he worked in R&D on environmental technologies. His well-rounded background bridges both academia and industry, providing him with practical insight into environmental systems, engineering design, and pollution control. These roles have shaped his approach to research, integrating laboratory innovation with real-world environmental problem-solving.

🏅 Awards and Honors

Dr. Do Gun Kim’s academic and research excellence is reflected in his extensive publication record, with 67 international and 14 domestic journal articles, alongside 7 Korean patents and 1 PCT international patent. His innovative work in environmental engineering has contributed significantly to the advancement of water treatment technologies and pollution reduction strategies. He holds two national-level professional engineering certifications—one in water pollution technology and another in noise and vibration—issued by the Human Resources Development Service of Korea. These certifications validate his technical expertise and professional contributions to environmental management. While specific named awards are not listed, Dr. Kim’s sustained funding, prolific publications, and patents underscore his recognition and impact in the field. His roles at top Korean institutions such as KAIST, Kyung Hee University, and Sunchon National University reflect the esteem in which he is held by academic and professional communities.

🔬 Research Focus

Dr. Kim’s research is centered on advanced physico-chemical processes for water, wastewater, and groundwater treatment. He focuses on key mechanisms like adsorption, catalysis, coagulation, filtration, and advanced oxidation processes to enhance contaminant removal efficiency. His work places strong emphasis on innovative materials, including carbon-based adsorbents, nano-metallic particles, and hybrid composites tailored for environmental remediation. Additionally, Dr. Kim actively investigates methods for reducing non-point source pollution, which poses significant challenges in urban and agricultural runoff management. His integrated approach combines theoretical modeling, lab-scale experimentation, and pilot-scale application. Through interdisciplinary collaboration, he aims to develop sustainable, cost-effective, and scalable solutions for improving water quality and environmental health. His projects often explore synergies between material science, environmental chemistry, and civil engineering, thereby pushing the boundaries of traditional water treatment paradigms. This multi-dimensional focus enhances resilience and sustainability in water resource management systems.

Conclusion

Dr. Do Gun Kim is a dedicated environmental engineer whose multifaceted career integrates academic research, industry experience, and innovative water treatment solutions, making him a leading figure in sustainable environmental technologies.

Publications

Jatinder kaur | Nano | Best Researcher Award

Dr. Jatinder kaur | Nano | Best Researcher Award

Associate Professor | Chandigarh Engineering College, Chandigarh Group of Colleges Jhanjeri, India

Dr. Jatinder Kaur is an accomplished Assistant Professor with over 12 years of experience in engineering education and research. Holding a Ph.D., her work focuses on Image Processing and Machine Learning, guiding M.Tech theses and B.Tech projects while also securing a 2-lakh grant for VAANI-AICTE. She has earned numerous recognitions including certificates of appreciation, best teacher awards, and sports achievements, reflecting her diverse capabilities. Dr. Kaur is an active participant in national and international conferences, serving as a session chair and workshop coordinator. Her professional memberships include SCRS, IAENG, EDEN, and AUN Research Lab. She remains engaged in continuous professional development through FDPs and workshops on AI, IoT, VLSI, NEP, and curriculum design. Her research output includes impactful publications in IEEE, Springer, and reputed journals. With a passion for teaching and innovation, she contributes significantly to academic and student development.

Profile

🎓 Education

Education (150 words): Dr. Jatinder Kaur holds a Ph.D. in engineering, with her research focused on areas including Image Processing, Machine Learning, Neural Networks, and Embedded Systems. Her academic path has been complemented by various certifications and training in advanced technologies such as VLSI Design, Deep Learning, AI, LaTeX, and IoT. She has actively participated in numerous Faculty Development Programs (FDPs), including those conducted by NITTTR, AICTE, and IIT Bombay’s Spoken Tutorial. Her academic exposure also spans standardization, research methodology, curriculum development, and national education policy implementation. Through continuous learning and contributions to professional development workshops, Dr. Kaur has ensured her educational foundation remains dynamic and aligned with the evolving needs of technical education. Her holistic educational background supports both her classroom teaching and advanced research pursuits, positioning her as a forward-thinking academician deeply invested in continuous improvement and excellence in education delivery.

🧪 Experience

With over 12 years of teaching and research experience, Dr. Jatinder Kaur has made significant contributions in academic institutions such as CGC, Jhanjeri. She has mentored numerous B.Tech and M.Tech students, demonstrating her commitment to knowledge dissemination and applied learning. Beyond classroom instruction, she has taken active roles in academic coordination, session chairing in international conferences like IEEE GCAT 2023, and has led key initiatives such as FOSS training coordination in collaboration with IIT Bombay. Her teaching excellence has been recognized with multiple appreciation letters and faculty awards, including Best Teacher and Excellence Certificates. Dr. Kaur has consistently aligned with institutional goals, from curriculum planning to enhancing university results, and has been a dynamic contributor in organizing and participating in national-level workshops and technical events. Her multifaceted role as educator, coordinator, and researcher underscores a deep-rooted dedication to academic excellence and student success.

🏅 Awards and Honors

Dr. Jatinder Kaur has received several awards and accolades recognizing her excellence in teaching, research, and extracurricular involvement. She was honored as Best Teacher in 2015 by CGC Jhanjeri and received Certificates of Excellence for academic results in 2014 and 2015. She has also been appreciated for anchoring cultural events, such as the NCC cultural night in 2010. Dr. Kaur received a certificate of appreciation as a Session Chair at the 4th Global Conference for Advancement in Technology (GCAT), IEEE 2023. Her contributions as a primary evaluator in Toycathon 2021 were acknowledged by the Ministry of Education’s Innovation Cell. She also earned letters of appreciation for her coordination efforts in FOSS training with IIT Bombay and for excellent student results at PTU. Additionally, she demonstrated her versatility by winning 1st position in Badminton during the Faculty Sports Fiesta 2023. These achievements reflect her all-rounded commitment to academics and campus life.

🔬 Research Focus

Dr. Jatinder Kaur’s research interests lie in Image Processing, Machine Learning, Sign Language Recognition, Neural Networks, and VLSI Design. She has authored impactful research papers in leading journals and conferences including IEEE, Springer, and Elsevier, covering topics such as mango disease analysis using hybrid models, optical behavior in nanoglass materials, network security, and sustainable construction. She has conducted scientometric reviews on trending technologies and contributed to interdisciplinary studies like borophene nanocomposites and electric vehicles. Her work often blends theoretical modeling with real-world applications, such as aiding sensory-impaired individuals through gesture recognition systems. Dr. Kaur’s publications demonstrate strong collaboration with researchers from diverse fields and institutions, enhancing the quality and breadth of her work. Her commitment to bridging the gap between academic research and societal benefit is evident through her focus on innovative technologies that serve practical needs, all while guiding postgraduate research and participating in collaborative academic networks.

Conclusion

Dr. Jatinder Kaur is a dynamic academician dedicated to research, teaching, and innovation, with over 12 years of impactful experience. Her excellence in Image Processing and Machine Learning is reflected through successful student mentorship, funded projects, scholarly publications, and awards. As an active contributor to academic and professional forums, she remains committed to evolving with modern education and technological trends. Her continued efforts to foster academic excellence, collaborative research, and student-centered teaching make her a valuable asset to the academic community and an inspiring mentor to future engineers.

Publications

Yingna Le | Research on the Mechanism of Action of Active Ingredients in Traditional Chinese Medicine | Best Researcher Award

Dr. Yingna Le | Research on the Mechanism of Action of Active Ingredients in Traditional Chinese Medicine | Best Researcher Award

PhD Candidate| Nanchang Medical College, china

Dr. Yingna Le is a Lecturer in Pharmacy at Nanchang Medical College’s School of Pharmacy, where she specializes in pharmacognosy and the authentication of Chinese medicinal materials. With a strong foundation in Chinese Materia Medica from Yunnan and Jiangxi Universities of Traditional Chinese Medicine, she combines traditional knowledge with modern scientific research. Dr. Le actively investigates the molecular mechanisms behind active ingredients in Traditional Chinese Medicine (TCM), contributing to national and provincial research projects. Her work includes the study of hawthorn leaf flavonoids and kidney stone treatments through the lens of network pharmacology and gut-liver axis analysis. She has published in core Chinese and international journals, developed flipped classroom models, and innovated WeChat-based educational tools. A member of several professional societies, she is committed to advancing TCM education and research. Her interdisciplinary approach integrates experimental design, pharmacognosy, and data analysis to enrich teaching and contribute to the scientific community.

Profile

🎓 Education

Dr. Yingna Le holds both Bachelor’s and Master’s degrees in Chinese Materia Medica. She earned her B.S. from Yunnan University of Traditional Chinese Medicine in 2007, where she developed a strong understanding of traditional pharmacognosy and the foundational principles of Chinese medicine. She then pursued her M.S. from Jiangxi University of Traditional Chinese Medicine (2008–2011), deepening her expertise in medicinal material authentication and TCM pharmacology. Her postgraduate studies provided her with skills in microscopic identification, phytochemical analysis, and TCM theory, setting the stage for her research and teaching career. This rigorous academic background enabled her to bridge the gap between traditional practices and contemporary scientific methods. Her educational journey laid the groundwork for her future roles in academia and research, where she continues to explore the integration of modern pharmacological techniques with ancient herbal wisdom. Dr. Le’s academic path demonstrates her dedication to excellence and innovation in the field of TCM.

🧪 Experience

Dr. Yingna Le currently serves as a Lecturer in the School of Pharmacy at Nanchang Medical College (2021–present), where she teaches Pharmacognosy and the Authentication of Chinese Medicinal Materials. Prior to this, she was a Teaching Assistant at the Jiangxi University of TCM Science and Technology College (2018–2021), where she began integrating innovative teaching strategies into traditional Chinese medicine education. Her academic career is marked by a dedication to improving teaching quality through flipped classrooms and the application of digital platforms like WeChat for student engagement and evaluation. In addition to teaching, Dr. Le has played pivotal roles in research, particularly as Principal Investigator and Co-Investigator on national and provincial research grants. She has completed five interdisciplinary projects between 2020 and 2022 and actively contributes to academic publications. Her blend of instructional innovation and research acumen makes her a respected figure in both educational and scientific circles in TCM.

🏅 Awards and Honors

Dr. Yingna Le has earned recognition through competitive research funding and influential academic appointments. She is the Principal Investigator of a Jiangxi Provincial Education Department grant for studying Lygodium japonicum’s mechanisms against kidney stones, and a Co-Investigator on a prestigious National Natural Science Foundation of China (NSFC) grant examining hawthorn leaf flavonoids in cardiovascular treatment. While specific award titles are not listed, her success in securing these high-level grants reflects her scientific credibility and innovation. Additionally, her involvement in five interdisciplinary education reform and material science projects (2020–2022) with substantial budgets highlights her leadership and collaborative spirit. Dr. Le also holds committee roles in key professional societies, including the TCM Processing Committee of the Jiangxi Pharmaceutical Association and the Digital Healthcare & Simulation Medicine Society of Jiangxi Province. These roles further affirm her status as a trusted contributor to the advancement of pharmacy education and research in Traditional Chinese Medicine.

🔬 Research Focus

Dr. Yingna Le’s research centers on uncovering the mechanisms of action of active ingredients in Traditional Chinese Medicine using modern pharmacological approaches. Her work focuses on compounds such as hawthorn leaf flavonoids and their effects on cardiovascular health, particularly unstable plaques, through the LXR-α mediated modulation of iron-lipid metabolism in the gut-liver axis. She also investigates the therapeutic potential of Lygodium japonicum in kidney stone treatment via network pharmacology. Dr. Le employs a range of methodologies including phytochemical analysis, molecular mechanism studies, and pharmacognostic techniques. Her research approach integrates traditional herbal knowledge with systems biology to bridge classical TCM theory with modern biomedical science. She has a strong interest in interdisciplinary collaboration and has led or contributed to numerous research projects across pharmacology, education reform, and material science. Her contributions aim to validate and modernize the application of traditional remedies in contemporary clinical settings, making her work both culturally relevant and scientifically impactful.

Conclusion

Dr. Yingna Le blends traditional Chinese medical expertise with modern research to advance pharmacognosy and medicinal authentication. Through dedicated teaching, impactful research, and innovative education methods, she contributes significantly to TCM modernization.

Publications

Milena Živković | Artificial Intelligence in Medicine | Best Researcher Award

Ms. Milena Živković | Artificial Intelligence in Medicine | Best Researcher Award

Research Associate| University of Kragujevac, Faculty of Science, Serbia

Milena Živković is a Research Associate at the University of Kragujevac, Faculty of Science, Serbia, with a background in physics and a research focus on the integration of artificial intelligence into medical physics and science education. Her expertise lies in AI-supported educational systems, Monte Carlo simulations in radiotherapy, and environmental radioactivity. With over 38 published papers, her work bridges physics, machine learning, and curriculum innovation. Milena is recognized for her mentorship of gifted students, contribution to interdisciplinary AI-based learning models, and international collaborations with researchers in Europe and the Middle East. She has co-authored dosimetric simulation software for cancer treatment optimization and earned accolades such as Best Oral Presentation Awards at international conferences. As an active member of the Serbian and German Physical Societies, she fosters science communication through national outreach projects and educational initiatives. Her contributions span both academic excellence and impactful community-based science promotion efforts.

Profile

🎓 Education

Milena Živković earned her formal education in physics, culminating in specialized research focused on medical physics, radiation dosimetry, and educational technology. She has completed advanced academic training in English for Academic Communication and Python programming, including Stanford’s “Code in Place.” She holds a Cambridge English Certificate and multiple certificates from the University of Kragujevac in academic writing and pedagogy. Her achievements during her student years include receiving the Annual Award for Best Student from 2015 to 2019, reflecting both academic excellence and extracurricular engagement. Additionally, she has participated in numerous interdisciplinary workshops, competitions, and science communication events, contributing to both her intellectual and pedagogical growth. With a strong foundation in applied physics, her academic journey has been characterized by the seamless integration of theoretical knowledge and practical research, which she continues to expand through post-academic training, conference participation, and interdisciplinary research collaboration with clinical and educational institutions.

🧪 Experience

Milena Živković has significant experience as a Research Associate at the University of Kragujevac, where she combines artificial intelligence with physics education and medical applications. Her research includes machine learning models for radiation dosimetry, classification systems in physics education, and anomaly detection in environmental radioactivity. She serves as a section editor and reviewer for journals like Imaging and Radiation Research and Radiation Science and Technology. Milena is also a contributor to national gifted education programs, curriculum development initiatives, and AI-assisted learning models. She has collaborated with international institutions, including projects with the Clinical Center Kragujevac and partners from Iraq, enhancing the practical application of her research. She has guided STEM projects for youth and mentored students in high school competitions. Her book on Monte Carlo simulations is used in academic and clinical contexts. Her scientific outreach projects further amplify her impact across the academic, educational, and public spheres.

🏅 Awards and Honors

Milena Živković has been the recipient of numerous awards recognizing both academic and community contributions. She received the Best Researcher Award at the University of Kragujevac in 2023 and multiple Best Oral Presentation Awards at international conferences in gynecology, women’s health, and ophthalmology. She also won the Bridge of Mathematics First Place Projects (2023, 2024), highlighting innovative physics education. From 2015 to 2019, she was honored with the Annual Best Student Award and continues to receive high praise for promoting science through projects funded by Serbia’s Center for the Promotion of Science. These include thematic campaigns like Brian May and the Queen of Physics, Our Air = Our Health, and Work + Active = Radioactive. Additionally, she holds advanced training certifications in pedagogy, communication, academic writing, and programming. Her dedication to science communication, youth mentorship, and educational innovation has made her a strong contender for the Young Scientist or Best Researcher Award.

🔬 Research Focus

Milena Živković’s research sits at the intersection of artificial intelligence, medical physics, and education technology. She focuses on developing machine learning-based models for radiation dose analysis, anomaly detection in environmental radioactivity, and AI-assisted problem classification in physics education. Her contributions to the FOTELP-VOX Monte Carlo platform enable precision 3D dose distribution modeling, now applied in clinical settings. She also investigates the ecological effects of radionuclide transfer and food safety. Milena’s interdisciplinary work includes collaborations with philosophers, clinicians, educators, and AI developers to improve curriculum delivery and treatment outcomes. She actively integrates AI into educational strategies to support gifted students and has co-authored software tools used in radiotherapy optimization. Her studies are not only technical but are aimed at real-world impact—ensuring safer radiation practices, informed public health strategies, and accessible science education. Her research promotes knowledge translation, making complex physics applicable to both education and healthcare.

Conclusion

Milena Živković exemplifies a new generation of researchers merging artificial intelligence with applied physics to transform education, healthcare, and science communication. Through interdisciplinary projects, academic excellence, and outreach initiatives, she continues to redefine how science serves society while mentoring future innovators and advancing clinical safety and educational equity.

Publications
  • FOTELP-VOX-OA: Enhancing radiotherapy planning precision with particle transport simulations and Optimization Algorithms

    Computer Methods and Programs in Biomedicine
    2025-08 | Journal article
    CONTRIBUTORS: Milena Zivkovic; Filip Andric; Marina Svicevic; Dragana Krstic; Lazar Krstic; Bogdan Pirkovic; Tatjana Miladinovic; Mohamed El Amin Aichouche
  • FOTELP-VOX 2024: Comprehensive overview of its capabilities and applications

    Nuclear Technology and Radiation Protection
    2024 | Journal article
    CONTRIBUTORS: Milena Zivkovic, P.; Tatjana Miladinovic, B.; Zeljko Cimbaljevic, M.; Mohamed Aichouche, E.A.; Bogdan Pirkovic, A.; Dragana Krstic, Z.
  • Radionuclide contamination in agricultural and urban ecosystems: A study of soil, plant, and milk samples

    Kragujevac Journal of Science
    2024 | Journal article
    CONTRIBUTORS: Mohamed Aichouche, E.A.; Mihajlo Petrović, V.; Milena Živković, P.; Dragana Krstić, Ž.; Snežana Branković, R.
  • Development of DynamicMC for PHITS Monte Carlo package

    Radiation Protection Dosimetry
    2023-11-13 | Journal article
    Part of ISSN: 0144-8420
    Part of ISSN: 1742-3406
    CONTRIBUTORS: Hiroshi Watabe; Tatsuhiko Sato; Kwan Ngok Yu; Milena Zivkovic; Dragana Krstic; Dragoslav Nikezic; Kyeong Min Kim; Taiga Yamaya; Naoki Kawachi; Hiroki Tanaka et al.

Alihossein saberi | Male infertility | Outstanding Scientist Award

Dr. Alihossein saberi | male infertility | Outstanding Scientist Award

professor| Ahwaz Jundishapour University of  Medical Sciences, Iran

Dr. Alihossein Saberi is an accomplished molecular geneticist and Associate Professor at Ahvaz Jundishapur University of Medical Sciences. With a career spanning over three decades, he has held several academic and administrative positions, including Head of the Department of Medical Genetics. He earned his PhD in Molecular Medicine from Kyoto University, Japan, following a master’s in Radiation Biology from Tarbiat Modarres University, Iran. Dr. Saberi has taught and mentored extensively in molecular biology, genetics, and radiation biology. He has authored numerous research articles and textbooks, contributing significantly to the field of molecular genetics, particularly in cancer genomics, male infertility, and genetic disorders. He remains deeply involved in collaborative international research. Dr. Saberi is known for integrating teaching, administration, and impactful research to advance medical genetics education and practice in Iran and beyond.

Profile

🎓 Education

Dr. Saberi earned his PhD in Molecular Medicine from the Graduate School of Medicine at Kyoto University, Japan, between 2004 and 2007. Prior to this, he underwent a research traineeship at the same institution from 2003 to 2004. He completed his Master of Science in Radiation Biology in 1992 at Tarbiat Modarres University, Tehran, Iran, where he gained strong foundational knowledge in biomedical sciences. His education trajectory reflects a continuous focus on molecular and cellular biology, particularly genetic mechanisms underlying human health and disease. His exposure to international research environments has significantly shaped his academic and professional outlook, equipping him with advanced techniques in gene expression, molecular diagnostics, and cancer genomics. These academic qualifications have been central to his role in establishing and leading educational and research initiatives in medical genetics in Iran, enhancing both curriculum development and translational research in the domain of human genetics.

🧪 Experience

Dr. Saberi began his academic career in 1992 as a lecturer at Ahvaz Jundishapur University of Medical Sciences, advancing to Assistant Professor (2007–2013), Associate Professor (since 2013), and Head of the Department of Medical Genetics (since 2014). He also served as Deputy of Educational Affairs (1998–1999) and Dean of the Paramedical Faculty (1999–2003), showcasing his administrative leadership. Over the years, he has taught various core subjects such as Molecular Biology, Medical Genetics, and Radiation Biology. His teaching spans over 30 years and is supported by a strong research portfolio and international collaborations. His leadership has led to the development of molecular genetics curricula and enhanced the university’s role in medical genetics research and diagnostics. His blend of academic, research, and administrative roles reflects a holistic contribution to the medical education and healthcare system in Iran, making him a key figure in advancing genetics education and clinical research in the region.

🏅 Awards and Honors

Dr. Alihossein Saberi’s professional excellence is recognized through his appointment as Head of the Department of Medical Genetics and his pivotal role in curriculum reform and academic leadership at Ahvaz Jundishapur University of Medical Sciences. Although specific awards are not listed, his career progression—from lecturer to associate professor and departmental head—underscores recognition of his academic contributions. His participation in international collaborations and co-authorship of high-impact publications in renowned journals such as Genetics in Medicine, Clinical Genitourinary Cancer, and International Journal of Biological Macromolecules reflects international recognition and scientific credibility. Authoring textbooks in Persian further demonstrates his commitment to knowledge dissemination in the native language. His contributions to both education and research continue to position him as a respected expert in the Iranian academic community and an influential collaborator on global genetic research projects, often cited for his work in oncology, neurogenetics, and reproductive genetics.

🔬 Research Focus

Dr. Saberi’s research focuses on molecular genetics with special emphasis on cancer biology, reproductive genetics, and genetic basis of neurodevelopmental disorders. He explores the regulatory role of microRNAs, gene polymorphisms, and novel genetic markers in disease susceptibility and progression. Recent studies include investigations on microRNA-32 in prostate cancer, FSHB polymorphisms in male infertility, and co-delivery of gene therapies in hepatocellular carcinoma. His participation in multi-institutional genomic projects has led to groundbreaking findings in INPP4A-related neurodevelopmental disorders and biallelic mutations in ZBTB11 and MED27 genes. Using bioinformatics and translational genetics approaches, he aims to bridge the gap between molecular insights and clinical applications. He also explores the genetic basis of recurrent implantation failure and precision medicine in oncology. His collaborative work with international consortia highlights his commitment to global research excellence in human genetics, positioning him as a significant contributor to personalized medicine and molecular diagnostics.

Conclusion

Dr. Alihossein Saberi is a leading molecular geneticist whose work spans academia, research, and administration, with a legacy of advancing genetic medicine education and research in Iran through decades of dedicated service, innovation, and collaboration.

Publications
  • Gold nanoparticles in combination with megavoltage radiation energy increased radiosensitization and apoptosis in colon cancer HT-29 cells

    International Journal of Radiation Biology
    2017 | Journal article

    EID:

    2-s2.0-84994131604

    CONTRIBUTORS: Saberi, A.; Shahbazi-Gahrouei, D.; Abbasian, M.; Fesharaki, M.; Baharlouei, A.; Arab-Bafrani, Z.
  • Impact of prolonged fraction delivery time modelling stereotactic body radiation therapy with high dose hypofractionation on the killing of cultured ACHN renal cell carcinoma cell line

    Journal of Biomedical Physics and Engineering
    2017 | Journal article

    EID:

    2-s2.0-85029830802

    CONTRIBUTORS: Khorramizadeh, M.; Saberi, A.; Tahmasebi-birgani, M.; Shokrani, P.; Amouhedari, A.
  • The first report of a 290-bp deletion in β-globin gene in the south of Iran

    Iranian Biomedical Journal
    2017 | Journal article

    EID:

    2-s2.0-85012202227

    CONTRIBUTORS: Hamid, M.; Nejad, L.D.; Shariati, G.; Galehdari, H.; Saberi, A.; Mohammadi-Anaei, M.

Mariana Pinho | Social Psychology | Best Researcher Award

Dr. Mariana Pinho | Social Psychology | Best Researcher Award

Researcher| University of Aveiro, Portugal

Dr. Mariana Lobo Pinho is an accomplished psychologist and researcher currently serving as an Auxiliary Researcher at the University of Aveiro, Portugal, and a Visiting Research Fellow at the University of Lincoln, UK. With a PhD in Psychology from the University of Lincoln, she has established a rich academic and professional career focused on equality, diversity, inclusion, and gender studies. Her multidisciplinary work bridges psychology, policy, and social justice, contributing to numerous EU-funded and national projects. Dr. Pinho has collaborated with prestigious institutions such as the European Institute for Gender Equality and the Royal Society of Chemistry. She is the Principal Investigator of a major study on climate anxiety funded by La Caixa Foundation and has published extensively in peer-reviewed journals on family roles, identity, and environmental psychology. Her expertise spans both qualitative and quantitative research, making her a leading voice in the study of gender, work, and social transformation.

Profile

🎓 Education

Dr. Mariana Pinho has a comprehensive academic background rooted in psychology. She began her studies with a Bachelor of Science in Psychology at the University of Porto (2007–2010), followed by a Master of Science in Clinical and Health Psychology at the same institution (2010–2012). These formative years built her expertise in clinical approaches, mental health, and human behavior. She then pursued her doctoral studies in the UK, earning a PhD in Psychology from the University of Lincoln (2013–2017). During her PhD, she conducted extensive research on gender identity, work-family dynamics, and social norms, supported by a faculty bursary. Her academic training reflects a deep integration of psychological theory, applied research, and cross-cultural analysis, enabling her to lead studies that intersect clinical psychology with broader societal challenges. This rich educational trajectory laid the foundation for her international career in research, education, and policy consultation.

🧪 Experience

Dr. Mariana Pinho’s professional journey spans academic research, consultancy, and public policy across Europe. Since 2023, she has worked as an Auxiliary Researcher at CESAM, University of Aveiro, and as a Visiting Research Fellow at the Eleanor Glanville Institute, University of Lincoln. Previously, she held roles as Senior and Research Fellow at the same institute (2019–2023), where she led pioneering studies on equality and climate psychology. She has served as a consultant and national expert for the European Institute for Gender Equality, and conducted policy and evaluation research for various EU bodies. Earlier, she held research positions in Lithuania, including at Mykolas Romeris University and the Public Policy and Management Institute. Mariana has also worked in industry (Western Union) and provided psychology internships in Portugal’s National Health Service. Her multifaceted experience demonstrates her ability to translate academic insight into impactful, real-world applications in equality, inclusion, and environmental resilience.

🏅 Awards and Honors

Dr. Mariana Pinho has received notable recognition throughout her academic and professional career. Early on, she was awarded an Integrated Master’s Scholarship from the Portuguese Government, recognizing her as one of the top 10 students in her cohort. During her doctoral studies, she earned a competitive PhD Scholarship Faculty Bursary from the University of Lincoln. Her contributions to psychology and social research have earned her nominations for prestigious international awards such as the International Cognitive Scientist Awards. In 2023, her leadership in socially impactful research led to several high-profile projects, including funding from La Caixa Foundation and the Royal Society of Chemistry. Her reputation as a gender and inclusion expert has led to consultancy roles for the European Commission and recognition by the British Psychological Society. These accolades highlight her sustained excellence and influence in the fields of gender equality, environmental psychology, and inclusive policy development.

🔬 Research Focus

Dr. Mariana Pinho’s research centers on the intersection of social psychology, gender, family dynamics, and environmental behavior. She explores how identities—such as parental and work roles—shape and are shaped by social norms, particularly in contexts of gender non-conformity and role reversal. Her recent studies delve into climate change anxiety and its influence on pro-environmental behavior, with a focus on psychological gender disparities. She also investigates perceptions of fairness, inclusion, and psychological safety in academic and professional settings. Her research utilizes both qualitative and quantitative methodologies, bridging individual experience with structural analysis. Through projects funded by the European Commission, Royal Society of Chemistry, and La Caixa Foundation, she has contributed to key discourses on gender equality, caregiving roles, and emotional responses to environmental crises. Her work not only advances theoretical understanding but also informs inclusive policies and practices in higher education, research environments, and public health.

Conclusion

Dr. Mariana Pinho exemplifies the integration of academic rigor and societal impact through her work on gender, inclusion, and environmental psychology. Her cross-disciplinary approach enables her to address pressing global challenges with nuanced, evidence-based insights.

Publications
  • Climate Anxiety: a mechanism for change?

    2024-01 to present | Grant
    ‘la Caixa’ Foundation (Barcelona, ES)
    GRANT_NUMBER:
  • BARRIERS WITHIN BARRIERS − MINORITIES WITHIN MINORITIES: the challenges for LGBTQ+ inclusion in the UK-US STEM landscape through an intersectional lens

    2023 to 2023 | Grant
    Royal Society of Chemistry (Lincoln, GB)
  • Building Networks and Partnerships to Enable Transformational Change in Inclusive Policy and Practice Across Businesses, Organisations and Government

    2023 to 2023 | Grant
    Research England (Lincoln, GB)
  • Post-graduate Psychology Trainee Experiences of Racism

    2023 to 2023 | Grant
    British Psychological Society (Lincoln, GB)

 

Marta Comes Carsí | Psychiatry and ophthalmology | Women Researcher Award

Mrs. Marta Comes Carsí | Psychiatry and ophthalmology | Women Researcher Award

Hospital Clínico Universitario de Valencia, Spain

Mrs. Marta Comes Carsí is a Spanish ophthalmologist from Valencia with extensive clinical and academic expertise in visual sciences, retina, and ocular pathologies. Born on November 12, 1992, she currently serves as a Facultativo Especialista in Ophthalmology at the Hospital Clínico Universitario de Valencia. Her medical career is marked by specialized training across top hospitals in Spain, including Barcelona and Valencia, and advanced postgraduate studies in retina, uveitis, and clinical ophthalmology. With multiple master’s degrees and international certifications from the European Board of Ophthalmology and the International Council of Ophthalmology, Mrs. Comes Carsí combines a strong academic foundation with practical excellence. Her research explores structural and functional alterations of the retina, especially in psychiatric conditions, and has been published in prestigious ophthalmological journals. Fluent in English and Catalan, she actively contributes to continuing medical education and integrates evidence-based practices in clinical care.

Profile

🎓 Education

Mrs. Marta Comes Carsí obtained her medical degree from the Universitat de València in 2016, laying a strong foundation for her specialization in ophthalmology. She then completed a Master’s in Clinical Medicine at Universidad Camilo José Cela (2017), followed by multiple postgraduate degrees at Universidad Tecnológica de las Islas Canarias in Retina and Uveitis, Clinical Ophthalmology, and Ocular Pathologies (2024). She earned the European Board of Ophthalmology Diploma (EBO) and multiple certifications from the International Council of Ophthalmology (ICO) in Clinical Ophthalmology, Visual Sciences, and Optics. Her extensive additional training includes accredited university courses in surgical techniques, pediatric glaucoma, corneal diseases, and ocular inflammation. This multidisciplinary academic background equips her with the knowledge to manage complex ocular conditions and to contribute significantly to academic research and clinical teaching. Her education reflects a continuous commitment to staying updated with evolving practices and innovations in visual science and eye health.

🧪 Experience

Mrs. Marta Comes Carsí has accumulated a wide range of clinical experience through her progressive roles in leading Spanish medical institutions. She began her residency at Hospital Clínico y Provincial de Barcelona in 2017 and continued at the Hospital Clínico Universitario de Valencia from 2020 to 2024. Her dedication and expertise earned her a permanent position as a Facultativo Especialista in Ophthalmology at the same Valencia hospital, where she now works part-time. Mrs. Comes Carsí’s clinical work spans general ophthalmology, retinal pathologies, anterior segment imaging, and pediatric ocular disorders. Her experience also includes performing ophthalmologic surgeries and diagnosing complex visual system disorders. She actively participates in scientific and academic programs, blending patient care with educational involvement. Her clinical background, enriched with hands-on training and high-level certifications, reflects a comprehensive and evolving practice in visual health, making her a reliable clinician, researcher, and educator in the field of ophthalmology.

🏅 Awards and Honors

Mrs. Marta Comes Carsí’s commitment to academic and clinical excellence has been recognized through several prestigious achievements. She was awarded the European Board of Ophthalmology (EBO) Diploma in 2024, a significant credential demonstrating her advanced expertise across European standards. Additionally, she earned certifications from the International Council of Ophthalmology in Clinical Ophthalmology, Visual Sciences, and Optics—honors that underscore her global standing in ophthalmic education. Her dedication to continuing education is evident in her completion of specialized university-accredited courses in glaucoma, surgical ophthalmology, corneal diseases, and pediatric pathologies. These honors signify her commitment to lifelong learning and delivering the highest standards of care in ophthalmology. Her active involvement in continuing education programs and international evaluations confirms her drive for excellence and positions her as a highly respected ophthalmologist committed to best practices, academic advancement, and patient-centered care.

🔬 Research Focus

Mrs. Marta Comes Carsí’s research primarily focuses on the intersection of ophthalmology and systemic or neuropsychiatric conditions, particularly studying structural and functional retinal changes. Her recent work includes investigations into visual function and retinal morphology in patients with bipolar disorder, indicating a multidisciplinary approach that integrates psychiatry and ophthalmology. She also contributes to anterior segment imaging studies, such as iris abnormalities using optical coherence tomography (OCT). Her publications, appearing in Archivos de la Sociedad Española de Oftalmología, highlight her emphasis on evidence-based clinical advancements. Mrs. Comes Carsí applies her research findings to refine diagnostic accuracy and therapeutic approaches in complex ocular pathologies. Her focus on retinal diagnostics and systemic ocular manifestations supports the advancement of personalized ophthalmic care. By combining advanced imaging, clinical insight, and inter-disciplinary research, she is contributing to a broader understanding of ocular biomarkers relevant to both ophthalmology and systemic disease diagnosis.

Conclusion

Mrs. Marta Comes Carsí exemplifies the integration of clinical expertise, academic rigor, and research innovation in modern ophthalmology. With a solid educational foundation, diverse hospital experience, and internationally recognized certifications, she advances patient care while contributing to scientific understanding of ocular diseases. Her work stands at the forefront of visual science and clinical excellence.

Publications
  • Marta Comes Carsí; Delia Hernández Pérez; Antonio Miguel Duch Samper. Subretinal hemorrhages
    with subfoveal involvement after blunt ocular trauma, in a patient with pseudoxanthoma elasticum and
    angioid streaks. Archivos de la Sociedad Española de Oftalmología (English Edition). 99 – 9, pp. 412.
    Elsevier BV, 22/06/2024. DOI: 10.1016/j.oftale.2024.05.013. Epub 2024 Jun 22.>. ISSN 2173-5794

  • Marta Comes Carsí; Noemí Ruiz Del Río; Antonio Miguel Duch Samper. Myopic macular pit with
    scleral dehiscence in highly myopic patient. Archivos de la Sociedad Española de Oftalmología
    (English Edition). Elsevier BV, 20/07/2024. DOI: 10.1016/j.oftale.2024.07.008>. ISSN 2173-5794
  • Marta Comes Carsí; Elena Gracia Rovira; Laura Manfreda Domínguez; Vicente Tomás Pérez
    Torregrosa; John Paul Liscombe Sepúlveda; Antonio Miguel Duch Samper. Oclusión combinada de
    vena central de la retina y arteria ciliorretiniana en dos pacientes jóvenes. Archivos de la Sociedad
    Espanola de Oftalmologia. Elsevier BV, 19/08/2024. https://doi.org/10.1016/j.oftal.2024.08.006.>.
    ISSN 0365-6691
  • Noemí Ruiz Del Río; Marta Comes Carsí; Leyre Sanz Gallen. Roséola sifilítica iridiana. Utilidad de la
    tomografía de coherencia óptica de segmento anterior. Archivos de la Sociedad Espanola de
    Oftalmologia. Elsevier BV, 24/08/2024. https://doi.org/10.1016/j.oftal.2024.08.004>. ISSN 0365-6691
  • Marta Comes Carsi; José Miguel Vilaplana Mora; Laura Manfreda Domínguez; Carlos Cañete
    Nicolás; Antonio Miguel Duch Samper. Alteraciones en la función visual y en la estructura retiniana
    de los pacientes con trastorno bipolar. Archivos de la sociedad española de oftalmología. (España):
    elsevier, 05/2025. <https://doi.org/10.1016/j.oftal.2025.03.007>.
  • Marta Comes Carsí; Sergio Alfredo Maugard Tepper; Antonio Miguel Duch Samper. Mamilaciones
    de iris bilaterales. Imagen de tomografía de coherencia óptica del segmento anterior.ARCHIVOS DE
    LA sociedad española de oftalmología. 04/2025.<https://doi.org/10.1016/j.oftal.2024.11.005>.
  • Marta Comes Carsí; Sergio Alfredo MAUGARD TEPPER; Amparo Lanuza García; Antonio Miguel
    Duch Samper. Orbital abscess surgery in a patient with odontogenic pansinusitis. Acta
    ophthalmologica. 100 – S275, pp. 1755 -3768. John Wiley & Sons, 20/12/2022.
    https://doi.org/10.1111/j.1755-3768.2022.0267>. ISSN 1755-375X

 

Zihan Liu | Computational Modeling | Young Scientist Award

Mr. Zihan Liu | Computational Modeling | Young Scientist Award

Ph. D. Candidate | Villanova University, United States

Zihan Liu is a Ph.D. candidate in Mechanical Engineering at Villanova University, specializing in nonlinear dynamics and machine learning. His interdisciplinary research focuses on integrating physics-based modeling with neural networks to enhance diagnostic and predictive capabilities in complex mechanical systems. With a solid academic background from Harbin Engineering University, he has developed dynamic modeling solutions for systems like electromagnetic bearings and underwater robotics. Liu has co-authored multiple high-impact journal articles and presented his work at prestigious international conferences such as NODYCON and PHM Society. He is also an accomplished teaching assistant, supporting courses in Machine Learning, Vibration, and Nonlinear Dynamics. In addition to his technical expertise, Liu demonstrates strong communication skills and a passion for teaching. Beyond academia, he enjoys calligraphy, playing the bamboo flute, hiking, and cooking. His career trajectory reflects a unique blend of engineering innovation, deep analytical thinking, and creative exploration across mechanical and data-driven domains.

Profile

Scopus

🎓 Education

Zihan Liu began his academic journey at Harbin Engineering University, earning a B.Eng. in Machine Design & Manufacturing and Automation (2012–2016) with a thesis on underwater robot attitude control. He continued at the same university for his M.Eng. in Mechanical Engineering (2016–2019), where his thesis focused on controller design for electromagnetic bearings in flywheel energy storage systems. Currently, he is pursuing a Ph.D. in Mechanical Engineering at Villanova University (2019–present). His doctoral research integrates nonlinear dynamic information with machine learning for advanced system modeling, aiming to create hybrid data-driven and physics-informed approaches for fault detection and dynamic analysis. His educational path has been marked by a continuous focus on advanced mechanical systems, modeling, and diagnostics, underpinned by strong theoretical grounding and practical application. His progression from foundational engineering principles to cutting-edge machine learning integration highlights his commitment to innovation and academic rigor in mechanical systems engineering.

🧪 Experience

Zihan Liu has rich academic and research experience centered on dynamic systems, diagnostics, and intelligent modeling. At Villanova University, he served as a teaching assistant for Machine Learning (2023), Vibration (2023), and Nonlinear Dynamics (2024), instructing programming modules and supporting coursework. He has collaborated on several high-level research projects focusing on rotating dynamics, nonlinear systems, and electro-hydraulic servo valve diagnostics. Liu has presented at notable conferences like NODYCON (2021, 2023) and the PHM Society (2023), where he also became a finalist in the Three Minute Thesis Competition. He has authored and co-authored papers published or under review in top-tier journals such as Knowledge-Based Systems, Environmental Modelling & Software, and Mechanical Systems and Signal Processing. His software proficiency includes Abaqus, SolidWorks, Python, Matlab, and more, showcasing his technical versatility. This diverse experience underscores his capability in both theoretical research and applied system diagnostics across mechanical and mechatronic domains.

🏅 Awards and Honors

Zihan Liu has earned recognition for his research and communication skills. In 2023, he was a Finalist in the Three Minute Thesis Competition, highlighting his ability to convey complex ideas succinctly. His paper presentations at top conferences like NODYCON and the PHM Society Annual Conference reflect high academic impact and peer acknowledgment. Several of his co-authored papers are accepted or under peer review in leading journals, signifying rigorous and innovative research in physics-informed machine learning and mechanical diagnostics. His role as a teaching assistant across courses like Machine Learning, Vibration, and Nonlinear Dynamics at Villanova University also attests to his academic excellence and instructional abilities. Moreover, Liu has contributed to research featured in multi-disciplinary collaborations, including environmental modeling, indicating cross-domain appreciation of his skills. These accolades and experiences collectively demonstrate his excellence in research communication, technical instruction, and interdisciplinary collaboration within engineering and computational sciences.

🔬 Research Focus

Zihan Liu’s research sits at the intersection of mechanical dynamics and machine learning, with a particular emphasis on physics-infused neural networks for system modeling, diagnostics, and prognostics. His doctoral work at Villanova University explores integrating nonlinear dynamic data with machine learning to develop hybrid adaptive models that preserve physical insights while enhancing data-driven accuracy. Key focus areas include rotating dynamics, vibration analysis, fault detection, and signal decomposition techniques like POD and SOD for early crack detection in gear-train systems. He has proposed Hamiltonian and Routhian neural network models for rigid disk systems and investigated uncertainty quantification in parameter estimation. His work extends into fluid-mechanical system diagnostics, such as fault identification in electro-hydraulic servo valves. Liu’s interdisciplinary approach bridges mechanical engineering with AI, offering new methodologies for modeling complex systems efficiently and accurately. This fusion of physics-based features and data science defines his research trajectory toward intelligent, explainable system modeling.

Conclusion

Zihan Liu is a promising candidate for the Young Scientist Award. His impactful research at the intersection of physics, machine learning, and mechanical systems, combined with solid communication and academic contributions, makes him a deserving nominee with significant potential for future leadership in his field.

Publications
  • Title: Hybrid Adaptive Modeling using Neural Networks Trained with Physics-Based Features
    Year: Accepted
    Authors: Zihan Liu, Prashant N. Kambali, C. Nataraj

  • Title: Exploiting POD and SOD Methods for Diagnostic of Multiple Defects in Gear Train Systems
    Year: Under Reviewing
    Authors: Zihan Liu, T. Haj Mohamad, Shahab Ilbeigi, C. Nataraj

  • Title: Using Diagnostic Signal to Extract Dynamics-based Features for Fault Identification in Electro-Hydraulic Servo Valves
    Year: Under Reviewing
    Authors: Zihan Liu, Prashant N. Kambali, C. Nataraj

  • Title: Spatiotemporal Flood Depth and Velocity Dynamics Using a Convolutional Neural Network Within a Sequential Deep-Learning Framework
    Year: 2025
    Authors: Mohamed M. Fathi, Zihan Liu, Anjali M. Fernandes, Michael T. Hren, Dennis O. Terry, C. Nataraj, Virginia Smith

  • Title: An Integrated Deep Learning Framework Enables Rapid Spatiotemporal Morphodynamic Predictions Toward Long-Term Simulations
    Year: Under Reviewing
    Authors: Mohamed M. Fathi, Zihan Liu, Anjali M. Fernandes, Michael T. Hren, Dennis O. Terry, C. Nataraj, Virginia Smith

  • Title: Hamiltonian Neural Network Model of Rigid Disk Rotating System with Damping and Unbalance
    Year: Under Preparation
    Authors: Zihan Liu, Prashant N. Kambali, C. Nataraj

  • Title: Exploring Gyroscopic Effect of Rigid Disk Rotating System by Routhian Neural Network
    Year: Under Preparation
    Authors: Zihan Liu, Prashant N. Kambali, C. Nataraj

 

Alfonso Alfaro-Rodriguez | Parkinson anda Pain | Best Research Article Award

Prof. Dr. Alfonso Alfaro-Rodriguez | Parkinson anda Pain | Best Research Article Award

Departament of Basic Neuroscience, Mexico

Dr. Alfonso Alfaro-Rodríguez is a distinguished neuroscientist and Head of Department at the Instituto Nacional de Rehabilitación-Neurociencias, specializing in neurochemistry, neuropharmacology, and neurophysiology, with over 130 scientific publications and significant contributions to cellular and molecular neuroscience.

Profile

Orcid

🎓 Education

Dr. Alfaro-Rodríguez holds a Ph.D. in Neuroscience and has undergone specialized training in neurochemistry, neuropharmacology, and molecular biology techniques, equipping him with advanced expertise in diagnostics, cell culture, and neurobiological research methods.

🧪 Experience

He currently leads a department at the Instituto Nacional de Rehabilitación-Neurociencias, has authored 130 scientific articles, 2 books, and 39 book chapters, and has presented at over 180 national and international congresses, demonstrating extensive leadership in neuroscience research and clinical diagnostics.

🏅 Awards and Honors

Dr. Alfaro-Rodríguez is a highly recognized expert in his field, with a strong publication record and numerous invitations to present at global conferences, reflecting his authority in neuroscience; his professional profiles are featured in Scopus, ORCID, and Google Scholar.

🔬 Research Focus

His research focuses on neurochemistry, neuropharmacology, and neuromics, with applications in diagnostics and neurorehabilitation; he is skilled in PCR, immunochemistry, electrophoresis, Western blotting, and cancer biology as applied to neurological conditions.

Conclusion

Given his prolific research contributions, interdisciplinary expertise, and leadership role, Dr. Alfonso Alfaro-Rodríguez is a highly suitable nominee for the Best Research Article Award. With minor enhancements in outreach and impact presentation, his candidacy would be even more compelling for high-level recognition.

Publications