Dasiel Oscar Borroto Escuela | Neuroscience | Research Excellence Award

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Dr. Dasiel Oscar Borroto Escuela | Neuroscience | Research Excellence Award 

University of Malaga | Spain

Dr. Dasiel Oscar Borroto Escuela is an internationally recognized neuroscientist whose research has fundamentally advanced the understanding of G protein–coupled receptor (GPCR) heteroreceptor complexes and their role in brain function and disease. His work focuses on elucidating how alterations in GPCR heteroreceptor complexes and their allosteric receptor–receptor interactions contribute to the pathogenesis of neuropsychiatric and neurodegenerative disorders, including major depression, addiction, and Parkinson’s disease. Dr. Borroto Escuela is a pioneer in the discovery and characterization of GPCR–GPCR and GPCR–RTK interactions in the central nervous system, providing compelling molecular evidence that these complexes constitute critical integrative signaling units underlying learning, memory, and brain plasticity. His seminal publications in Biological Psychiatry, Molecular Psychiatry, Neuropsychopharmacology, and Trends in Pharmacological Sciences have reshaped prevailing neurotransmitter hypotheses by introducing receptor heterocomplex dynamics as key determinants of disease vulnerability and therapeutic response. A major contribution of his work is the proposal that changes in the density and allosteric interactions of GPCR heterocomplexes represent a shared molecular mechanism linking psychiatric and neurodegenerative disorders. He has notably extended the serotonin hypothesis of depression by integrating molecular dynamics within serotonin receptor heterocomplexes, identifying new targets for antidepressant intervention. Dr. Borroto Escuela has also developed and refined cutting-edge methodologies, including the establishment and optimization of in situ proximity ligation assay (PLA) techniques, enabling the in-brain visualization of GPCR heteroreceptor complexes—a methodological breakthrough that has become foundational in the field. His characterization of heteromer interface interactions, such as the D2R–A2AR heterodimer, has opened new avenues for drug development using small interfering peptides. Currently, as an EMERGIA Fellow at the University of Málaga, Dr. Borroto Escuela leads the Receptomics & Brain Disease Lab, while simultaneously directing the GPCR Laboratory at Karolinska Institutet. He has secured competitive funding from prestigious Spanish and Swedish agencies and foundations and has produced over 180 peer-reviewed publications, with more than 5,000 citations and an h-index exceeding 40. Beyond research, he is deeply committed to scientific leadership, serving as editor and editorial board member for leading journals, evaluator for international funding agencies, supervisor of over 60 students, and an invited speaker at more than 40 international conferences. His career reflects sustained excellence, innovation, and global impact in neuroscience and neuropsychopharmacology.

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Featured Publications

Rakib Miah | Neuroscience | Best Researcher Award

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Mr. Rakib Miah | Neuroscience | Best Researcher Award

Mr. Rakib Miah | University of Colorado Anschutz Medical Campus | United States

Mr. Rakib Miah is a dedicated biomedical researcher with expertise in biochemistry, molecular biology, and neuroscience, currently working at the University of Colorado Anschutz Medical Campus. His career has been defined by a commitment to understanding the molecular mechanisms of human diseases, with a strong focus on extracellular vesicles, ion-channel physiology, neuropathic pain, and molecular imaging. He has gained international recognition through his scientific contributions, publications, and research involvement in both laboratory and clinical studies. His academic and professional journey spans Bangladesh and the United States, reflecting a global perspective and scientific adaptability. Md. Rakib’s collaborative research efforts have advanced knowledge in cancer biology, cardiovascular health, metabolic disorders, and neuroscience. He combines strong technical expertise with leadership experience, mentoring undergraduate students and actively participating in scientific communities. His research aims to contribute toward the development of therapeutic solutions that address pressing global health challenges.

Profile

Orcid

Education

Mr. Rakib Miah pursued his academic career with distinction in biochemistry and molecular biology, building a strong foundation in biomedical sciences. He obtained his Bachelor of Science in Biochemistry and Molecular Biology from Shahjalal University of Science and Technology (SUST), Bangladesh, where he studied metabolic disorders and public health issues. He continued at SUST for his first master’s degree in Biochemistry and Molecular Biology, completing a thesis on the relationship between serum xanthine oxidase and hypertension. He later pursued his second master’s degree in Chemistry and Biochemistry at the University of Denver, United States, where his research focused on tetherin gene regulation, exosome secretion, and cancer biology under the mentorship of Professor Michelle Knowles. His advanced academic training provided him with hands-on experience in molecular biology, protein expression, immunofluorescence, and imaging. His education represents a balance of clinical insight and experimental expertise, preparing him to contribute to biomedical research innovation globally.

Professional Experience

Mr. Rakib Miah has demonstrated excellence across multiple scientific environments, from academic research to pharmaceutical quality control. At the University of Colorado Anschutz Medical Campus, he is working in the Department of Anesthesiology, where he performs cutting-edge experiments on animal models, patch-clamp electrophysiology, and preclinical drug trials targeting neuropathic pain. At the University of Denver, he contributed as a Graduate Research Assistant, conducting advanced work in mammalian cell culture, exosome isolation, protein purification, and fluorescence microscopy. Previously, at Beximco Pharmaceuticals Ltd., a leading US-FDA-approved pharmaceutical company, he served as a Quality Control Officer, gaining experience in analytical chemistry, HPLC, UV-Vis spectrophotometry, and certification processes. His early research internship at the National Institute of Biotechnology in Bangladesh introduced him to advanced molecular techniques, shaping his career in biomedical sciences. His professional trajectory illustrates an exceptional combination of laboratory precision, clinical research involvement, and interdisciplinary collaboration aimed at impactful scientific outcomes.

Research Interests

Mr. Rakib Miah’s research interests lie at the intersection of molecular biology, neurobiology, and translational medicine. His work focuses on unraveling cellular and molecular pathways in human diseases, with particular emphasis on exosomes and extracellular vesicles, which serve as biomarkers and mediators of intercellular communication. He is deeply interested in cancer biology, especially how tetherin protein regulation impacts exocytosis and cellular signaling in lung cancer cells. Additionally, his current projects explore ion-channel physiology, patch-clamp electrophysiology, and nociceptive activity in preclinical models, aiming to develop therapeutic approaches for neuropathic pain. His research extends into metabolic disorders, including hypertension, diabetes, and chronic kidney disease, providing valuable insights into population health. With expertise in microscopy, image analysis, and protein biochemistry, he combines advanced imaging with molecular techniques to link fundamental biology to clinical applications. His long-term goal is to translate laboratory discoveries into therapies for neurodegenerative, metabolic, and cancer-related conditions.

Awards & Recognitions

Mr. Rakib Miah has received multiple scholarships, fellowships, and recognitions for his academic excellence and research contributions. He was awarded the prestigious Graduate Dean’s Fellowship at the University of Denver to support his studies and research in molecular biology and exosome regulation. In Bangladesh, he was honored with the National Science and Technology Fellowship as a promising young researcher, recognizing his outstanding potential in biomedical sciences. His earlier achievements include merit-based scholarships from Dutch-Bangla Bank Foundation and Eastern Bank for his consistent academic performance during higher education. He has also won competitive awards at the school and college level, establishing his early commitment to academic excellence. His recognition extends to scientific events, where he presented research posters at international conferences organized by the National Young Academy of Bangladesh. These awards reflect his strong academic foundation, consistent research excellence, and his ability to inspire confidence as a young scientist with global potential.

Publication Top Notes

Pulsed radiofrequency of lumbar dorsal root ganglion versus epidural neuroplasty for lumbar radicular pain: a systematic review and network meta-analysis

Journal: Regional Anesthesia & Pain Medicine
Authors: Ji-Hoon Park, Jae Ni Jang, Soyoon Park, Young-Soon Choi, Dae Kyun Ryu, Rakib Miah, Sukhee Park


Association between hyperuricemia and chronic kidney disease: a cross-sectional study in Bangladeshi adults

Journal: BMC Endocrine Disorders
Authors: Zitu Barman, Mahmudul Hasan, Rakib Miah, Ananya Dutta Mou, Jaasia Momtahena Hafsa, Aporajita Das Trisha, Firoz Mahmud, Nurshad Ali


The association between elevated lipid profile and liver enzymes: a study on Bangladeshi adults

Journal: Scientific Reports
Authors: Rakib Miah, Rahanuma Raihanu Kathak, Abu Hasan Sumon, Noyan Hossain Molla, Mahmudul Hasan, Humaira Rashid Tuba, Ahsan Habib, Nurshad Ali


Association of serum xanthine oxidase levels with hypertension: a study on Bangladeshi adults

Journal: Scientific Reports
Authors: Rakib Miah, Khandaker Atkia Fariha, Sabrina Amita Sony, Shamim Ahmed, Mahmudul Hasan, Ananya Dutta Mou, Zitu Barman, Akibul Hasan, Nayan Chandra Mohanto, Nurshad Ali


Assessment of the relationship between serum xanthine oxidase levels and type 2 diabetes: a cross-sectional study

Journal: Scientific Reports
Authors: Mahmudul Hasan, Khandaker Atkia Fariha, Zitu Barman, Ananya Dutta Mou, Rakib Miah, Ahsan Habib, Humaira Rashid Tuba, Nurshad Ali

Conclusion

Mr. Rakib Miah is a highly promising biomedical researcher whose academic achievements, professional experiences, and scientific contributions demonstrate a consistent trajectory toward impactful research. His multidisciplinary expertise—from molecular biology and protein expression to neuroscience and metabolic health—reflects his ability to address complex scientific questions across diverse domains. His awards and scholarships highlight his recognition as a capable and innovative researcher with global relevance. The breadth of his publications across high-impact journals establishes him as an emerging scholar contributing to translational medicine and public health. His active involvement in mentorship, scientific societies, and humanitarian initiatives further showcases his leadership potential and social responsibility. With his strong commitment to discovery and problem-solving, Mr. Rakib Miah embodies the qualities of a researcher who is not only advancing science but also inspiring future directions in molecular medicine, neuroscience, and public health. He is an exceptional candidate for research recognition and awards.

yinglu Song | Neuroscience | Strategic Business-Science Pioneer Award

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Dr. yinglu Song | Neuroscience | Strategic Business-Science Pioneer Award

Dr. yinglu Song South | China University of Technology | China

Dr. Song Yinglu, originally from Nanning, Guangxi, is a passionate and talented postgraduate researcher specializing in Control Engineering and AI applications. A graduate student at the University of Science and Technology Beijing, he consistently demonstrates excellence in academics, innovation, and hands-on engineering. With a deep-rooted interest in smart sensing, machine vision, and embedded systems, Song has actively led and participated in multiple cross-disciplinary research projects with real-world applications. His profile reflects a combination of technical proficiency, creativity, and leadership, highlighted by his patent portfolio and national awards. Beyond academics, he is actively involved in volunteerism and student affairs. Through self-driven initiatives and collaboration with research institutions and enterprises, he strives to make meaningful contributions to engineering and intelligent systems. Known for his resilience and enthusiasm, Song Yinglu is well-positioned to become a transformative force in technology and applied research, making him an exceptional candidate for the Best Young Researcher Award.

Profile

scopus

Education

Dr. Song Yinglu pursued his Master’s in Electronic Information (Control Engineering) at the University of Science and Technology Beijing (Project 211), where he ranked 8th out of 22 students and completed a rigorous curriculum including Machine Learning, Pattern Recognition, Data Mining, and Artificial Intelligence. Prior to this, he earned his Bachelor’s degree in Measurement & Control Technology and Instrumentation from Guangxi University of Science and Technology, ranking 10th out of 86 peers. His academic foundation is grounded in both software and hardware principles—ranging from analog and digital electronics to microcontrollers and system design. These qualifications have equipped him with a robust analytical mindset and technical expertise. His academic choices reflect a progressive journey toward automation and AI-driven systems. This strong educational background underpins his research efforts in control systems, signal processing, and intelligent sensing, and provides the foundation for his work in academia, industry, and national innovation platforms.

Experience

Dr. Song’s experience is rich in research, development, and real-world engineering deployment. He has led pioneering projects like “Contactless Driver Status Detection Using WiFi Channel State Information” using tools such as MATLAB, Python, Linux, and LSTM models to detect driver fatigue and health. At Sinoma Science & Technology, he collaborated on machine vision systems for wind turbine blade manufacturing, enhancing defect detection capabilities. His internship at SenseTime Technology involved intelligent vending systems using computer vision, while his engineering tenure at Shenzhen Futae Hong focused on PCB testing and hardware troubleshooting. In campus life, he played a leadership role in organizing national-level competitions and technical workshops, managing student records, and supporting graduate entrance evaluations. Across roles, Song has demonstrated hands-on capabilities, team collaboration, and a practical mindset, complementing his academic rigor. His field adaptability, combined with extensive development skills and systematic thinking, defines him as a well-rounded and accomplished young technologist.

Research Interests

Dr. Song Yinglu’s research interests span across wireless sensing, machine vision, and embedded systems, with a specific focus on smart detection using WiFi CSI, driver safety monitoring, and industrial quality control. He is particularly interested in applying deep learning techniques like LSTM and AI to enhance non-contact human monitoring systems, offering safer and more efficient solutions in transportation and healthcare. His machine vision work addresses automation in manufacturing processes—like detecting glue application issues in wind turbine blades. He also has experience with environmental sensing, as seen in his early innovation projects involving unmanned boats and CAN bus-based safety systems. Combining signal processing with AI and embedded technologies, he seeks to bridge real-world sensing challenges with intelligent computing frameworks. His research goal is to develop intuitive, low-cost intelligent systems for real-time human-machine interaction and environmental monitoring, driving future advancements in IoT, automation, and smart cities.

Awards & Recognition

Dr. Song has consistently earned accolades throughout his academic and professional journey. Notably, he received National Third Prize (×2) in the COMAP Mathematical Contest in Modeling and Provincial Third Prizes (×2) in the National Undergraduate Electronic Design Competition. His innovative project on unmanned water quality detection won the Guangxi Bronze Medal at the China International “Internet+” Innovation & Entrepreneurship Competition. He also earned multiple Academic Scholarships, Science and Technology Excellence Awards, and was recognized as an Outstanding Class Leader (×3). As a team leader and core member, he has played pivotal roles in numerous award-winning projects in both university and enterprise settings. His involvement in various competitions displays not only technical skill but also effective team leadership, project management, and innovative thinking. These awards are testaments to his high potential, ingenuity, and consistency—making him a standout candidate for competitive national and international research honors.

Publications Top Notes

Design of an Intelligent Fish Tank Control System Based on IoT

A Method for Enhanced WiFi CSI-Based Human Breathing Signal Detection

In-Car Environment Monitoring and Safety Control System Based on CAN

A Robot Vision Positioning Device

Defect Detection System for Natural Gas Pipelines

Conclusion

Dr. Song Yinglu is a forward-thinking, high-achieving researcher whose academic background, technical prowess, and innovative mindset make him an ideal nominee for the Best Young Researcher Award. His excellence spans theoretical learning, hands-on engineering, team leadership, and real-world problem-solving. With contributions ranging from AI-powered detection systems to embedded hardware development, he bridges the gap between academia and industry. His work has been recognized by multiple institutions and published in scholarly formats, with granted patents reflecting practical innovation. Moreover, his commitment to student leadership, volunteering, and science communication further highlights his all-around capability. Song Yinglu represents the next generation of global researchers, and his multi-disciplinary approach promises impactful contributions to science, technology, and society. Awarding him would not only recognize his achievements but also encourage a future of excellence in AI and engineering innovation.