Jaleel Miyan | Clinical Neuroscience | Best Researcher Award

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Dr. Jaleel Miyan | Clinical Neuroscience | Best Researcher Award

Dr. Jaleel Miyan | The University of Manchester | United Kingdom

Dr. Jaleel Ahmad Miyan is a distinguished British neuroscientist and Senior Lecturer at the Faculty of Biology, Medicine & Health, Division of Neuroscience, University of Manchester, with a long-standing career dedicated to understanding cerebrospinal fluid (CSF) physiology and its role in neurological disorders. As President of the Society for Research into Hydrocephalus & Spina Bifida and a Fellow of both the Higher Education Academy and the Royal Society of Biology, he is recognized internationally for his expertise in cerebral folate metabolism and hydrocephalus research. His principal work focuses on fetal-onset and neonatal hydrocephalus, aiming to develop a non-invasive, non-surgical treatment to address global disparities in care. Miyan has supervised numerous PhD and Masters students, postdoctoral researchers, and technicians, fostering research excellence. He has published over 120 peer-reviewed research papers and reviews, with an h-index of 34, and his work has garnered substantial citations, reflecting his impact in neuroscience. He has served on editorial boards, contributed to major research projects, and secured significant funding for studies on folate metabolism in neurological conditions. Miyan’s scholarship is accessible through his ResearchGate, Orcid, and Google Scholar profiles, showcasing his profound contributions to advancing neuroscience and improving treatments for devastating neurological conditions.

Profiles : Google Scholar | Orcid | Research Gate

Featured Publications

Downing, J. E. G., & Miyan, J. A. (2000). Neural immunoregulation: Emerging roles for nerves in immune homeostasis and disease. Immunology Today, 21(6), 281–289.

Assas, B. M., Pennock, J. I., & Miyan, J. A. (2014). Calcitonin gene-related peptide is a key neurotransmitter in the neuro-immune axis. Frontiers in Neuroscience, 8, 23.

Miyan, J. A., Nabiyouni, M., & Zendah, M. (2003). Development of the brain: A vital role for cerebrospinal fluid. Canadian Journal of Physiology and Pharmacology, 81(4), 317–328.

Gazi, E., Dwyer, J., Lockyer, N. P., Miyan, J., Gardner, P., Hart, C., & Brown, M., et al. (2005). Fixation protocols for subcellular imaging by synchrotron‐based Fourier transform infrared microspectroscopy. Biopolymers: Original Research on Biomolecules, 77(1), 18–30.

Mashayekhi, F., Draper, C. E., Bannister, C. M., Pourghasem, M., & Miyan, J. A., et al. (2002). Deficient cortical development in the hydrocephalic Texas (H‐Tx) rat: A role for CSF. Brain, 125(8), 1859–1874.

Owen‐Lynch, P. J., Draper, C. E., Mashayekhi, F., Bannister, C. M., & Miyan, J. A. (2003). Defective cell cycle control underlies abnormal cortical development in the hydrocephalic Texas rat. Brain, 126(3), 623–631.

Gang Cao | Behavioral Neuroscience | Best Researcher Award

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Mr. Gang Cao | Behavioral Neuroscience | Best Researcher Award

Anhui University of Finance and Economics | China

Gang Cao (Ph.D.) is a Lecturer at the International Business School, Anhui University of Finance and Economics, with academic training in Business Administration and Management Science and Engineering from Shanghai University and Anhui University of Finance and Economics. His research focuses on AI capabilities, entrepreneurship, and innovation, and he has published in leading international journals such as the Journal of Business Research, Management and Organization Review, R&D Management, Plos One, and the International Journal of Conflict Management, as well as in top Chinese journals including Journal of Management Sciences in China and Journal of Economic Management. He has authored and co-authored multiple high-impact studies addressing themes such as entrepreneurial well-being, entrepreneurial failure and reentry, bricolage and disruptive innovation, digital identity change, impression management, and the integration of artificial intelligence with entrepreneurship and business model innovation. His work combines quantitative, qualitative, and computational methodologies, offering both theoretical contributions and practical insights into entrepreneurial behavior and firm evolution. Gang Cao has achieved an h-index of 5, with 11 documents and 102 citations, reflecting his growing academic impact and recognition in the fields of entrepreneurship, innovation management, and digital transformation. Through his interdisciplinary and collaborative research, he continues to advance understanding of the complex dynamics driving entrepreneurial success and organizational performance.

Profiles: Google Scholar

Featured Publications

“Exploring the relationship between entrepreneurial failure and conflict between work and family from the conservation of resources perspective.”

“Entrepreneurial Bricolage and Disruptive Innovation: The Joint Effect of Learning From Failure and Institutional voids.”

“Striking the balance: Configurations of causation and effectuation principles for SME performance.”

Liliana Elena Weimer | Clinical Neuroscience | Best Researcher Award

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Dr. Liliana Elena Weimer | Clinical Neuroscience | Best Researcher Award

Dr.  Liliana Elena Weimer, Center For Global Health Istituto Superiore di Sanita’ Rome, Italy.

Dr. Liliana Elena Weimer is a highly accomplished physician and clinical researcher , where she has risen to the prestigious Level II “First Researcher” position. Her professional focus lies in clinical trials for infectious diseases, particularly HIV and Hepatitis C. She has played a critical role in major national and international research efforts, including collaborations with the U.S. Clinical Trials Group and leadership of the large-scale PITER cohort involving 25,000 HCV patients. She is known not only for her scientific contributions but also for her humanitarian efforts during the COVID-19 emergency. Among her recognitions is the 1st Prize at the 2019 International Congress on Hepatitis C in Seville. Throughout her career, she has exemplified scientific integrity, dedication, and service to public health.

Profile

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🎓 Early Academic Pursuits

Born on December 19, 1965, in Buenos Aires to Italian parents, Dr. Liliana Elena Weimer embraced her dual heritage and committed herself to a life in medicine and research. With Italian citizenship and deep academic determination, she laid the groundwork for her career by studying medicine, ultimately finding her professional home in Italy. Her academic path, though not fully detailed, clearly led her toward a focus on clinical medicine and infectious diseases, with her earliest professional roles marking the beginning of a lifelong engagement in public health and biomedical research. Her intellectual dedication and international roots later became an asset in global research collaborations.

🩺 Professional Endeavors

Dr. Weimer’s distinguished career spans over three decades at the Italian National Institute of Health (ISS), beginning in 1985. Starting as a dedicated clinical physician, she ascended to Level III researcher status by 1990 and continued to grow into higher ranks, culminating in her success in the national Art. 15 competition for the Level II “First Researcher” role in 2022, officially backdated to 2021. Throughout her tenure at ISS, she became a central figure within the Global Health Center in Rome. Known for her tireless commitment, she often described her career not simply as a job but as a “mission,” emphasizing both her personal and professional passion for making a difference in human health.

🧪 Contributions and Research Focus

Specializing in clinical trials, Dr. Weimer has coordinated and participated in numerous groundbreaking studies in HIV and Hepatitis C (HCV). Since the early 1990s, she has collaborated closely with renowned figures such as Prof. Giovanni Rossi, Prof. Stefano Vella, and Prof. Gianni Rezza, contributing to some of the most pivotal HIV antiretroviral therapy trials in history. Her research efforts extended to co-leading and organizing both national and international multicenter clinical trials. Notably, she has been at the forefront of the PITER study, a major nationwide cohort that follows 25,000 patients undergoing HCV treatment—one of the most comprehensive initiatives in Italy in the fight against hepatitis.

🌍 Global Collaborations and Humanitarian Engagement

Her impact extends beyond Italy, thanks to her active involvement with the U.S.-based American Clinical Trials Group on HIV studies. These collaborations have enhanced international understanding and treatment of HIV/AIDS. In addition to her clinical and research commitments, Dr. Weimer also devoted herself to frontline service during the COVID-19 pandemic. Volunteering both with the Civil Protection unit and at Bambino Gesù Children’s Hospital, she demonstrated profound humanitarian values. Her presence during a critical time underscored her belief in serving communities not just from behind a lab desk but also on the ground, directly supporting patients and health systems under strain.

🏅 Accolades and Recognition

Dr. Weimer’s work has been acknowledged at both national and international levels. One of the most prominent recognitions she received was the 1st Prize at the International Congress on Hepatitis C held in Seville in November 2019, a testament to her excellence and influence in the field of infectious disease research. Her achievements are not only measured in accolades but also in the tangible difference her work has made in advancing therapy options and clinical management of chronic viral diseases. Her rise within the ISS and the trust placed in her leadership of major research projects further affirm her standing within the scientific community.

💡 Impact and Influence

Over the course of her extensive career, Dr. Weimer has significantly shaped clinical research strategies in Italy, especially regarding chronic viral infections. Her coordination of thousands of patient cases within structured clinical trials has informed policy decisions and improved treatment protocols nationwide. Her presence at the ISS has also influenced future generations of researchers and clinicians, many of whom benefited from her mentorship, leadership, and example of scientific integrity. Through her rigorous methods and patient-focused approach, she has played a key role in Italy’s standing as a leader in global health research, especially in relation to HIV and HCV.

🔬 Legacy and Future Contributions

Looking forward, Dr. Weimer’s contributions will continue to echo through the fields of virology and clinical medicine. Her involvement in the PITER cohort and other studies has laid down essential groundwork for long-term epidemiological surveillance and patient care strategies. With her appointment as First Researcher, she enters a new chapter of leadership, likely to drive more innovative, patient-centered research initiatives in global health. Her legacy lies not only in her publications or awards but also in the thousands of lives improved by the treatments she helped to test, refine, and implement. The combination of scientific rigor and heartfelt service defines her enduring contribution to modern medicine.

Publication

  • Outcome of sustained virological responders with histologically advanced chronic hepatitis C – TR Morgan, MG Ghany, HY Kim, KK Snow, ML Shiffman, JL De Santo, … – 2010

 

  • Clinical, virologic, histologic, and biochemical outcomes after successful HCV therapy: a 5‐year follow‐up of 150 patients – SL George, BR Bacon, EM Brunt, KL Mihindukulasuriya, J Hoffmann, … – 2009

 

  • Safety and efficacy of simeprevir/sofosbuvir in hepatitis C–infected patients with compensated and decompensated cirrhosis – V Saxena, L Nyberg, M Pauly, A Dasgupta, A Nyberg, B Piasecki, … – 2015

 

  • Slow human immunodeficiency virus type 1 evolution in viral reservoirs in infants treated with effective antiretroviral therapy – D Persaud, SC Ray, J Kajdas, A Ahonkhai, GK Siberry, K Ferguson, … – 2007

 

  • Evaluation of proton pump inhibitor use on treatment outcomes with ledipasvir and sofosbuvir in a real‐world cohort study – EB Tapper, BR Bacon, MP Curry, DT Dieterich, SL Flamm, LE Guest, … – 2016

 

  • Microbial translocation is associated with residual viral replication in HAART-treated HIV+ subjects with< 50 copies/ml HIV-1 RNA – S Baroncelli, CM Galluzzo, MF Pirillo, MG Mancini, LE Weimer, … – 2009

 

  • Predictors of failure with high-flow nasal oxygen therapy in COVID-19 patients with acute respiratory failure: a multicenter observational study – R Mellado-Artigas, LE Mujica, ML Ruiz, BL Ferreyro, F Angriman, E Arruti, … – 2021

 

  • A randomized, double-blind trial on the use of a triple combination including nevirapine, a nonnucleoside reverse transcriptase HIV inhibitor, in antiretroviral-naive patients – M Floridia, R Bucciardini, D Ricciardulli, V Fragola, MF Pirillo, LE Weimer, … – 1999

 

  • Modeling cost‐effectiveness and health gains of a “universal” versus “prioritized” hepatitis C virus treatment policy in a real‐life cohort – LA Kondili, F Romano, FR Rolli, M Ruggeri, S Rosato, MR Brunetto, … – 2017

 

  • Real-life data on potential drug-drug interactions in patients with chronic hepatitis C viral infection undergoing antiviral therapy with interferon-free DAAs in the PITER network – LA Kondili, GB Gaeta, D Ieluzzi, AL Zignego, M Monti, A Gori, A Soria, … – 2017

 

🏁 Conclusion

Dr. Weimer stands as a distinguished figure in the field of global health research, with deep expertise in clinical trials and infectious diseases. Her legacy is marked by landmark contributions to HIV and HCV treatment protocols, influential collaborations, and compassionate public service. Her ongoing work continues to shape public health policy and medical research in Italy and beyond. As she advances in her leadership role at the ISS, her experience, insight, and dedication will remain vital to future innovations in clinical research and global health.

Haoqiang Sun | Systems Neuroscience | Best Researcher Award

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Dr. Haoqiang Sun | Systems Neuroscience | Best Researcher Award

Dr. Haoqiang Sun, Xi’an Jiaotong University, School of Management, China.

Haoqiang Sun is an emerging scholar in Management Science and Engineering, currently pursuing his Ph.D. at Xi’an Jiaotong University, where he is exploring multimodal big data analysis and user-generated content. His academic journey began with a Bachelor’s degree in Information and Computing Science, followed by a Master’s in Resources and Environment. Throughout his studies, Haoqiang has demonstrated a keen interest in data analysis, which has led to his current focus on practical applications in tourism and business. In addition to his research, he serves as a teaching assistant, mentoring students in advanced statistical analysis. His work is funded by prominent national programs, highlighting his potential to make significant contributions to his field.

Profile

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Early Academic Pursuits 🎓

Haoqiang Sun’s academic journey began with a focus on Information and Computing Science, completing his Bachelor’s degree at Xi’an University of Science and Technology, where he achieved a GPA of 2.71/4.00 from 2016 to 2020. His early years as a student laid a strong foundation for his future research in management science and engineering, particularly in data analysis. During his time at Xi’an University, he honed his skills in data processing and computation, which would later shape his research trajectory. His academic curiosity and passion for problem-solving were evident as he progressed into his Master’s studies, earning an M.Sc. in Resources and Environment with a GPA of 3.07/4.00 from 2020 to 2023. These formative years provided him with a solid background in multidisciplinary studies, which were crucial in his later exploration of multimodal data analysis.

Academic Pursuits in Management Science and Engineering 📊

Currently, Haoqiang is a Ph.D. student at Xi’an Jiaotong University, specializing in Management Science and Engineering. Since September 2023, he has been working under the guidance of Professor Shaolong Sun, with an expected completion date of December 2026. His research interests focus on multimodal big data analysis and user-generated content, reflecting a deep interest in understanding the dynamics of digital data in real-world applications. Haoqiang’s academic performance is notable, with a GPA of 3.56/4.00, illustrating his dedication to mastering the complexities of management science. His ongoing research aims to bridge the gap between big data analytics and practical business applications, positioning him as a promising scholar in his field.

Professional Endeavors and Research Contributions 💼

Haoqiang Sun’s professional journey has been marked by his roles as both a researcher and a teaching assistant. As a research assistant at Xi’an Jiaotong University, he has been contributing to significant projects funded by both the National Key R&D Program for Young Scientists and the National Nature Science Foundation. His primary responsibilities involve literature reviews, data collection, and academic writing. These experiences allow him to explore cutting-edge research in multimodal big data analysis, particularly focusing on tourism-related data. Additionally, Haoqiang leads a research project, Multi-modal Data Mining and Analysis of Tourist Attractions (2025–2026), where he is tasked with applying data analytics to understand tourist demand at Xi’an’s popular tourist sites.

Teaching and Mentorship 🎓

In addition to his research, Haoqiang is also committed to the academic development of others. He serves as a full-time teaching assistant for the course Advanced Statistical Analysis at Xi’an Jiaotong University, a role he started in September 2024. As a teaching assistant, Haoqiang provides guidance on study strategies, addresses student queries, and helps foster a deeper understanding of statistical concepts. His work in this capacity reflects his passion for knowledge sharing and his dedication to helping fellow students navigate the complexities of advanced statistical methods, demonstrating his teaching aptitude and communication skills.

Research Focus and Innovation 🔍

Haoqiang’s research focuses on the intersection of multimodal big data analysis and user-generated content. His work is particularly relevant in today’s digital age, where vast amounts of data are produced by online users, and understanding these data flows can lead to meaningful insights for businesses and policymakers alike. His work in tourism, especially in analyzing tourist demand through multimodal data, demonstrates the practical applications of his research. By integrating data from multiple sources, including social media, reviews, and online platforms, Haoqiang seeks to optimize user experiences and improve decision-making processes in various sectors.

Accolades and Recognition 🏆

Despite being early in his academic career, Haoqiang has already earned recognition for his academic achievements. His research contributions, particularly in the realm of data analytics and management science, have positioned him as an emerging scholar with great potential. His supervisor, Professor Shaolong Sun, has commended his work for its rigor and innovation. Haoqiang’s research has been well-received in academic circles, and his involvement in prestigious projects funded by national scientific programs speaks to the quality and relevance of his work.

Future Contributions and Legacy 🌟

Looking ahead, Haoqiang Sun is poised to make significant contributions to the fields of data analysis and management science. His current research, which applies multimodal big data techniques to tourism and user-generated content, is just the beginning of what promises to be a fruitful academic career. Haoqiang’s work has the potential to influence not only the academic community but also industries like tourism, marketing, and data science, where insights into consumer behavior and user interactions are critical. As he continues to explore new methodologies and applications in data analytics, Haoqiang aims to leave a lasting legacy of innovation, bridging the gap between theory and practice in management science.

Publication

 

  • Experimental study on mechanical damage characteristics of water-bearing tar-rich coal under microwave radiation
    Authors: P Yang, P Shan, H Xu, J Chen, Z Li, H Sun
    Year: 2024

 

  • Numerical method for predicting and evaluating the stability of section coal pillars in underground longwall mining
    Authors: P Shan, H Sun, X Lai, J Dai, J Gao, P Yang, W Li, C Li, C Yan
    Year: 2022

 

  • Experiment on accurate identification of thermal image of coal-gangue mixture under a simulated dusky and wet condition
    Authors: SUNH SHAN Pengfei, LI Chenwei, LAI Xingping
    Year: 2024

 

  • Coal-rock interface perception and accurate recognition in heading face under coal dust environment based on machine vision
    Authors: Y ZHANG, L TONG, X LAI, S CAO, B YAN, Y LIU, H SUN, Y YANG, W HE
    Year: 2024

 

  • Evaluation of real-time perception of deformation state of host rocks in coal mine roadways in dusty environment
    Authors: P Shan, C Yan, X Lai, H Sun, C Li, X Chen
    Year: 2023

 

  • Let pictures speak: hotel selection-recommendation method with cognitive image attribute-enhanced knowledge graphs
    Authors: H Sun, H Xu, J Wu, S Sun, S Wang
    Year: 2024

 

  • Beyond Visual Appeal: The Impact of Multisensory Experience of Hotel Marketing and Review Images on Sales
    Authors: H Sun, H Xu, S Sun, H Li, S Wang
    Year: 2025

 

  • A research study of lightweight state perception algorithm based on improved YOLOv5s‐Tiny for fully mechanized top‐coal caving mining
    Authors: PF Shan, T Yang, XC Wu, HQ Sun
    Year: 2024

 

  • Mechanism of short-wall block backfill water-preserved mining based on water-conducting fractures development-heavy metal ions migration
    Authors: Y ZHANG, Y LIU, X LAI, T SONG, L ZHANG, H SUN, P WAN, R ZHAN
    Year: 2023

 

Conclusion

Haoqiang Sun’s academic and professional pursuits reflect his dedication to advancing the field of management science through the innovative use of big data analysis. With a strong foundation in both technical and applied research, he is well-positioned to impact industries like tourism, marketing, and business analytics. As he continues to develop his expertise, Haoqiang’s future contributions are expected to bridge the gap between theoretical research and practical applications, leaving a lasting influence on both academia and industry. His passion for research and teaching further ensures that his academic legacy will inspire future generations of scholars and professionals.

 

Jiwei Nie | Emerging Areas in Neuroscience | Best Researcher Award

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Dr. Jiwei Nie | Emerging Areas in Neuroscience | Best Researcher Award

Dr. Jiwei Nie, Haier Group, China.

Jiwei Nie is an accomplished Chinese researcher specializing in Artificial Intelligence-based Pattern Recognition and Intelligent Detection, with a strong focus on AI large models. His academic journey began with a Bachelor’s in Mechanical Design and Automation and evolved into a deeply integrated path through a Master’s and Ph.D. in Control Science and Engineering at Northeastern University. Throughout his doctoral research, he has made notable contributions to the field of Visual Place Recognition (VPR) for autonomous systems, publishing in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems and IEEE Robotics and Automation Letters. Jiwei’s innovations—especially in lightweight, training-free image descriptors and adaptive texture fusion—have positioned him at the forefront of applied AI in robotics and automation. He has also presented at major international conferences and holds multiple patents.

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🎓 Early Academic Pursuits

 Jiwei Nie displayed a deep interest in engineering and innovation from an early age. His academic journey began at Hebei University of Science and Technology, where he pursued a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation. His strong academic performance earned him first-class honors, and he graduated in July 2018. Motivated to delve deeper into the fusion of machinery and intelligence, he advanced to Northeastern University, completing his Master’s degree in Mechanical and Electronic Engineering by July 2020. Driven by a vision to integrate control systems with intelligent technologies, he enrolled in a PhD program in Control Science and Engineering under a prestigious Integrated Master-PhD track, further solidifying his expertise in the intelligent automation domain.

💼 Professional Endeavors

Jiwei’s professional development has been tightly interwoven with his academic path, where he has continuously applied theoretical insights to practical problems in Artificial Intelligence and Control Systems. As a member of the Communist Party of China, he approaches his work with a strong sense of discipline and public responsibility. His fluency in English, proven by his CET-6 certification, has enabled him to actively contribute to the global research community, engaging in international collaborations and conferences. Alongside his research, Jiwei has contributed to academic circles through mentorship roles and cross-institutional projects, making a significant impact both inside and outside his university.

🤖 Contributions and Research Focus

Jiwei Nie’s research is at the forefront of Artificial Intelligence-based Pattern Recognition and Intelligent Detection, with a special emphasis on AI Large Models. His work focuses on developing lightweight, efficient algorithms for Visual Place Recognition (VPR)—a critical capability for autonomous vehicles and robotic systems. He has pioneered new methods in saliency encoding, feature mixing, and texture fusion, leading to more robust and adaptive AI systems. Through these contributions, he has addressed real-world challenges in long-term navigation and intelligent perception, pushing the boundaries of control science and machine intelligence.

🏆 Accolades and Recognition

During his PhD, Jiwei published multiple high-impact articles in leading SCI-indexed journals. His paper in the IEEE Transactions on Intelligent Transportation Systems, titled “A Training-Free, Lightweight Global Image Descriptor for Long-Term Visual Place Recognition Toward Autonomous Vehicles”, has been particularly well-received and is ranked in Q1. Additional works in IEEE Robotics and Automation Letters have been ranked in Q2, highlighting his innovations such as MixVPR++ and Efficient Saliency Encoding. Furthermore, Jiwei’s presence has been notable at world-class conferences like ICPR, ICRA, and IROS, where he presented his work to a global audience of peers and experts. He also holds several patents, including an invention patent, and continues to submit further manuscripts to top-tier venues.

🌍 Impact and Influence

Jiwei’s research has had a significant influence on the future of intelligent transportation and autonomous systems. His development of training-free VPR models has contributed to making autonomous navigation more scalable and cost-effective, especially in dynamic environments where traditional AI systems fail. His proposed methods are not only academically rigorous but are also computationally efficient, paving the way for real-world deployment. Through his innovation and academic collaborations, he has helped bridge the gap between theoretical AI models and practical engineering applications, which is vital for industries moving toward Industry 4.0 and smart mobility solutions.

🧠 Legacy and Future Contributions

Looking ahead, Jiwei Nie aspires to deepen his research in generalized large AI models, expanding the scalability and generalization abilities of pattern recognition systems across domains beyond transportation—such as smart surveillance, industrial robotics, and medical imaging. His planned future publications and continued patent filings reflect a strong ambition to lead the next generation of intelligent systems research. Jiwei is committed to fostering innovation that aligns with both academic excellence and societal needs, aiming to establish himself as a pioneering researcher and mentor in the evolving field of intelligent detection and AI integration.

🔬 Vision in AI and Control Engineering

Jiwei Nie stands as a rising expert in the convergence of Artificial Intelligence, Control Science, and Robotic Vision, a field essential for the future of smart systems and automation. His deep technical knowledge, coupled with a strategic vision, positions him to contribute not only as a researcher but also as a thought leader in AI-driven engineering. With a career rooted in innovation and societal benefit, his trajectory points toward a legacy of breakthroughs that will influence smart cities, autonomous systems, and global AI research landscapes for years to come.

Publication

  • Title: A survey of extrinsic parameters calibration techniques for autonomous devices
    Authors: J Nie, F Pan, D Xue, L Luo
    Year: 2021

 

  • Title: A training-free, lightweight global image descriptor for long-term visual place recognition toward autonomous vehicles
    Authors: J Nie, JM Feng, D Xue, F Pan, W Liu, J Hu, S Cheng
    Year: 2023

 

  • Title: Forest: A lightweight semantic image descriptor for robust visual place recognition
    Authors: P Hou, J Chen, J Nie, Y Liu, J Zhao
    Year: 2022

 

  • Title: A novel image descriptor with aggregated semantic skeleton representation for long-term visual place recognition
    Authors: J Nie, JM Feng, D Xue, F Pan, W Liu, J Hu, S Cheng
    Year: 2022

 

  • Title: Efficient saliency encoding for visual place recognition: Introducing the lightweight pooling-centric saliency-aware VPR method
    Authors: J Nie, D Xue, F Pan, Z Ning, W Liu, J Hu, S Cheng
    Year: 2024

 

  • Title: 3D semantic scene completion and occupancy prediction for autonomous driving: A survey
    Authors: G Xu, W Liu, Z Ning, Q Zhao, S Cheng, J Nie
    Year: 2023

 

  • Title: A Novel Image Descriptor with Aggregated Semantic Skeleton Representation for Long-term Visual Place Recognition
    Authors: N Jiwei, F Joe-Mei, X Dingyu, P Feng, L Wei, H Jun, C Shuai
    Year: 2022

 

  • Title: Optic Disc and Fovea Localization based on Anatomical Constraints and Heatmaps Regression
    Authors: L Luo, F Pan, D Xue, X Feng, J Nie
    Year: 2021

 

  • Title: A Novel Fractional-Order Discrete Grey Model with Initial Condition Optimization and Its Application
    Authors: Y Liu, F Pan, D Xue, J Nie
    Year: 2021

 

  • Title: EPSA-VPR: A lightweight visual place recognition method with an Efficient Patch Saliency-weighted Aggregator
    Authors: J Nie, Q Zhào, D Xue, F Pan, W Liu
    Year: 2025

 

🔚 Conclusion

With a solid foundation in engineering and control systems and an innovative mindset in artificial intelligence, Jiwei Nie is poised to become a key figure in the evolution of intelligent automation technologies. His work contributes not only to academic theory but also to practical applications that influence the development of autonomous vehicles, intelligent detection systems, and large AI model architectures. As he approaches the completion of his Ph.D. in early 2025, Jiwei is expected to continue pushing technological boundaries, inspiring future advancements in AI research and real-world intelligent systems deployment.

Chen Shoubin | Behavioral Neuroscience | Best Researcher Award

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Dr. Chen Shoubin | Behavioral Neuroscience | Best Researcher Award

Dr. Chen Shoubin, Shenzhen University,  China.

Dr. Shoubin Chen is a forward-thinking Research Fellow at the Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), affiliated with Shenzhen University. With a Ph.D. in Photogrammetry and Remote Sensing, his career has been rooted in the intersection of spatial intelligence, robotics, and AI. From leading national research projects to publishing in reputable journals and securing multiple invention patents, Dr. Chen has made substantial contributions to the field of embodied intelligent robotics. His research emphasizes multi-sensor fusion and autonomous mapping, aiming to give machines human-like spatial perception and decision-making capabilities.

Profile

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📚 Early Academic Pursuits

Shoubin Chen’s academic journey began with a strong foundation in geospatial sciences, culminating in a Ph.D. in Photogrammetry and Remote Sensing in 2020. This prestigious degree was awarded through a rigorous joint training program between Wuhan University and the Finnish Geospatial Research Institute. During his doctoral studies, he developed a deep interest in integrating advanced spatial data techniques with artificial intelligence, laying the groundwork for his future research endeavors. His early academic phase was marked by a commitment to cross-border scientific collaboration and multidisciplinary exploration, which has since defined his research approach.

🧑‍💻 Professional Endeavors

Currently serving as a Research Fellow and graduate supervisor at the Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen) and Shenzhen University, Dr. Chen plays a pivotal role in advancing embodied intelligence within the Spatial Intelligence Team. His responsibilities include mentoring postgraduate students, overseeing cutting-edge research, and steering major national and provincial scientific projects. He has contributed to several national-level initiatives, including two National Natural Science Foundation of China grants, support from the China Postdoctoral Science Foundation, and sub-projects under the National Key Research and Development Program. These experiences have sharpened his expertise in high-precision robotic mapping and autonomous navigation.

🤖 Contributions and Research Focus

Dr. Chen’s primary research focus lies in embodied intelligent robotics, with an emphasis on multi-sensor fusion, robotic perception, and spatial mapping technologies. He is recognized for integrating data from various sensing modalities to improve the autonomy and spatial awareness of robotic systems. His innovations aim to empower robots with human-like spatial understanding, allowing them to operate reliably in complex environments. This research direction is crucial for applications ranging from autonomous vehicles to intelligent service robots, contributing significantly to the frontier of AI-driven robotics.

🏅 Accolades and Recognition

Throughout his academic and professional career, Shoubin Chen has garnered considerable recognition for his scientific excellence. He has published nearly ten high-quality papers as either the first or corresponding author in SCI Q2 journals and CCF B-tier or higher conferences and journals. Moreover, he has applied for over ten invention patents, underscoring his commitment to both theoretical advancement and practical application. His reputation in the academic community is further highlighted by his service as a peer reviewer for prestigious platforms such as the IEEE Internet of Things Journal, Remote Sensing of Environment, IEEE Transactions on Intelligent Vehicles, and ICRA, one of the top robotics conferences globally.

🌐 Impact and Influence

Dr. Chen’s work has had a profound impact on the fields of AI, robotics, and spatial computing. His multi-disciplinary approach has influenced how robots understand and interact with their environments, offering transformative possibilities in smart cities, autonomous transport, and digital mapping. By fusing photogrammetry with robotics and AI, he has contributed to a new paradigm in spatial intelligence that bridges digital perception and physical action. His projects have not only generated academic outputs but have also driven technological innovations with potential for real-world deployment.

🌱 Legacy and Future Contributions

As a mentor, innovator, and research leader, Shoubin Chen continues to inspire the next generation of scientists and engineers in AI and robotics. His forward-looking vision involves deepening the integration of embodied intelligence with environmental understanding, enabling machines to collaborate more intuitively with humans. He is poised to expand his research to include human-robot interaction, sustainable urban intelligence, and smart sensing systems. With a growing portfolio of publications, patents, and mentorship experiences, his contributions are set to leave a lasting legacy in the development of intelligent systems that seamlessly bridge perception and action.

🔬 Vision in Artificial Intelligence and Robotics

Guided by a vision that combines spatial science with artificial cognition, Dr. Chen’s work embodies the future of AI-powered robotics. His pursuit of intelligent, context-aware robotic systems aligns with global goals in automation, smart infrastructure, and digital economy. As AI becomes increasingly pervasive in everyday life, his contributions are steering the technology toward safer, more efficient, and more interactive systems. Through continuous innovation and collaboration, he remains at the forefront of a transformative research frontier that blends engineering precision with visionary thinking.

Publication

  • Title: Exploring embodied multimodal large models: Development, datasets, and future directions
    Authors: S Chen, Z Wu, K Zhang, C Li, B Zhang, F Ma, FR Yu, Q Li
    Year: 2025

 

  • Title: Distributed Robust Communication-Efficient Multi-Robot SLAM Combining Real-Time Intersection and Historical Loop Constraints
    Authors: B Zhang, Z Xiong, J Qiu, S Chen, Y Hu, S Chen
    Year: 2025

 

  • Title: TextGeo-SLAM: A LiDAR SLAM With Text Semantics and Geometric Constraints-Based Loop Closure
    Authors: S Chen, C Li, Q Jiang, X Zhuang, B Zhang, B Zhou, Q Li
    Year: 2024

 

  • Title: ASL-SLAM: A LiDAR SLAM with activity semantics-based loop closure
    Authors: B Zhou, C Li, S Chen, D Xie, M Yu, Q Li
    Year: 2023

 

  • Title: Comparative analysis of SLAM algorithms for mechanical LiDAR and solid-state LiDAR
    Authors: B Zhou, D Xie, S Chen, H Mo, C Li, Q Li
    Year: 2023

 

  • Title: Research on SLAM based on LiDAR/visual fusion (LV-SLAM)
    Authors: C Shoubin
    Year: 2023

 

  • Title: Cooperative smartphone GNSS/PDR for pedestrian navigation
    Authors: C Jiang, Y Chen, C Chen, S Chen, Q Meng, Y Bo, J Hyyppa
    Year: 2022

 

  • Title: Indoor Attitude Estimation Using Equipped Gyroscopes and Depth Sensors
    Authors: Q Shi, Z Song, Z Xiao, S Chen, F Wang
    Year: 2022

 

  • Title: LI-SLAM: Fusing LiDAR and Infrared Camera for Simultaneous Localization and Mapping
    Authors: B Zhou, D Xie, S Chen, C Li, H Mo
    Year: 2022

 

  • Title: NDT-LOAM: A real-time LiDAR odometry and mapping with weighted NDT and LFA
    Authors: S Chen, H Ma, C Jiang, B Zhou, W Xue, Z Xiao, Q Li
    Year: 2021

 

✅ Conclusion

In conclusion, Dr. Shoubin Chen exhibits all the core qualities of a Best Researcher Award recipient: deep scientific insight, proven research leadership, strong publication and patent output, and a visionary approach to solving real-world problems through AI and robotics. While there are opportunities to grow his international footprint, his current accomplishments already place him among the leading young researchers in his field. Based on the evidence of impact, innovation, and research excellence, he is highly suitable for the Best Researcher Award.

Ali Esmaeilzadeh Pilehroud | Clinical Neuroscience | Neuroscience Academic Distinction Award

Published on by Neuroscientists

Dr. Ali Esmaeilzadeh Pilehroud | Clinical Neuroscience | Neuroscience Academic Distinction Award

Dr. Ali Esmaeilzadeh,  Pilehroud Allameh Tabataba’i University, Iran.

Ali Esmaeilzadeh Pilehroud is a distinguished teacher and university professor at Allameh Tabataba’i University in Tehran, specializing in psychology with a strong focus on neuroscience and child cognition. Holding a Ph.D. and an international certificate in psychotherapy for children, he has seamlessly blended academic excellence with practical expertise. His career is marked by significant research projects, multiple influential publications, and a commitment to nurturing future psychologists. His work consistently bridges scientific innovation with educational impact, earning him recognition both nationally and internationally.

Profile

Google Scholar

 

🎓 Early Academic Pursuits

Ali Esmaeilzadeh Pilehroud began his academic journey with a profound passion for understanding the human mind. He earned his Ph.D. in Psychology from the prestigious Allameh Tabataba’i University in Tehran, where his research laid a strong foundation for his future contributions to the fields of psychology and psychotherapy. Additionally, he obtained an international certificate specializing in psychology and psychotherapy for children, reflecting his early commitment to focusing on child development and mental health.

🏛️ Professional Endeavors

Following his academic accomplishments, Ali Esmaeilzadeh Pilehroud embarked on a dual career as a teacher and a university professor at Allameh Tabataba’i University, one of Iran’s leading institutions. His role bridges both education and mentorship, allowing him to mold the minds of future psychologists. His deep involvement in both theoretical and practical aspects of psychology demonstrates his dedication to merging academic excellence with real-world application.

🧠 Contributions and Research Focus

Ali Esmaeilzadeh Pilehroud’s research primarily revolves around neuroscience and child cognition, highlighting his interest in the biological and psychological foundations of development. He has successfully completed two major research projects exploring these domains, contributing valuable insights to the scientific community. His work emphasizes understanding how early neural and cognitive development can be supported through targeted psychological interventions, particularly benefiting children’s growth and mental wellness.

📚 Books and Publications

A testament to his scholarly dedication, Ali Esmaeilzadeh Pilehroud has authored five volumes of academic and professional books, each carrying its own ISBN. These publications enrich the fields of psychology and child development, providing important resources for both students and practicing professionals. His writings are characterized by their accessibility and depth, offering readers a thorough understanding of complex psychological concepts.

🏆 Accolades and Recognition

Throughout his career, Ali Esmaeilzadeh Pilehroud has earned recognition for his contributions to academia and child psychology. His research works have been cited by peers, showcasing their influence and relevance. Additionally, his international certification in psychotherapy further underscores his standing in the global psychology community, distinguishing him as a leader in child-focused psychological practices.

🌍 Impact and Influence

Ali Esmaeilzadeh Pilehroud’s influence extends beyond the classroom and research labs. By integrating neuroscience with child psychology, he has advanced new methods for fostering cognitive development in children. His approach encourages educational reforms and therapeutic practices that are informed by scientific research, ultimately benefiting countless young lives and shaping a more scientifically informed society.

✨ Legacy and Future Contributions

Looking to the future, Ali Esmaeilzadeh Pilehroud remains committed to expanding his research and educational impact. His legacy is built upon a solid foundation of scientific inquiry, educational mentorship, and contributions to child psychotherapy. With plans to pursue further innovative projects, he aims to continue inspiring the next generation of psychologists while deepening the global understanding of child cognition and development.

Publication

  • Title: Lack of association between interleukin-10 gene promoter polymorphisms with HIV susceptibility and progression to AIDS
    Authors: A. Ramezani, E. Kalantar, A. Aghakhani, M. Banifazl, M. Foroughi, et al.
    Year: 2015

 

  • Title: Evaluation of acquired HIV drug resistance among people living with HIV who have taken antiretroviral therapy for 9–15 months in 14 triangular clinics in Iran, 2015–2016
    Authors: M. Mohraz, K. Tayeri, H. Namdari Tabar, Z. Bayat Jozani, L. Sadeghi, et al.
    Year: 2019

 

  • Title: Different Degrees of Immune Recovery Using Antiretroviral Regimens with Vonavir or Zidovudine/Lamivudine/Efavirenz in HIV-Positive Patients Receiving First Line Treatment in Iran
    Authors: L. Sadeghi, S. Moallemi, R.A. Tabatabai, A. Esmaeilzadeh, S. Ahsani-Nasab, et al.
    Year: 2018

 

  • Title: Enhanced immune responses against HIV-1 with Adenovector (gag and tat) prime/protein boost regimen and GM-CSF injection
    Authors: N.H. Rouzbahani, S. Bayanolhagh, M. Gholami, A. Esmaeilzadeh, Z.B. Jozani, et al.
    Year: 2016

 

  • Title: Comparing Theory of Mind and Executive Functions in Obsessive Compulsive Disorder, Schizophrenia, and Normal Individuals
    Authors: نیکجو وکیل آباد, اسمعیل زاده پیله رود (Nikjoo Vakilabad, Esmaeilzadeh Pilerood)
    Year: (Not clear—year not given, but possibly recent.)

 

🖋️ Conclusion

Through a lifelong dedication to psychology, research, and teaching, Ali Esmaeilzadeh Pilehroud has made lasting contributions to child development studies and cognitive neuroscience. His legacy is not only evident in his scholarly books and research projects but also in the lives of the students and professionals he has mentored. Looking ahead, he continues to inspire and innovate, shaping the future of psychological science and fostering better mental health outcomes for children worldwide.

Elissavet Kollia | Developmental Neuroscience |Best Researcher Award

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Ms. Elissavet Kollia | Developmental Neuroscience |Best Researcher Award 

Ms. Elissavet Kollia, National Kapodistrian University of Athens, Greece.

Ms. Elissavet Kollia is a distinguished pediatrician and researcher specializing in pediatric neurology. With an exceptional academic background, she graduated from the Medical School of the Democritus University of Thrace and pursued advanced postgraduate studies in Clinical Pediatrics and Nursing-Research. Her extensive clinical training, from pediatrics specialization to her current role at Konstantopouleio General Hospital “Agia Olga,” has solidified her expertise in child healthcare. Additionally, her research focuses on movement disorders in pediatric patients with early-onset developmental and epileptic encephalopathy, contributing valuable insights to the field. Her dedication extends beyond clinical practice, as seen in her voluntary medical work and commitment to mentoring young professionals.

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🎓 Early Academic Pursuits

From an early age, Elissavet Kollia demonstrated exceptional academic abilities, graduating from the 4th General Lyceum of Agia Paraskevi with an outstanding general grade of “excellent 19.2.” Her passion for medicine led her to the Medical School of the Democritus University of Thrace, where she was admitted in September 2007. With dedication and perseverance, she successfully earned her medical degree in July 2013, achieving a commendable grade of “very good 8.33.” Shortly after, she obtained her license to practice as a doctor in Greece and later in Munich, Germany, reflecting her international medical competence.

🏥 Professional Endeavors

Ms. Kollia’s professional journey has been marked by extensive clinical training and hands-on experience in pediatrics. She began her specialization at the Pediatric Clinic of the General Hospital of Karpenisi from June 2014 to October 2016. Her commitment to healthcare extended beyond hospitals as she served as a rural doctor at the Primary Health Care Center of Agios Nikolaos, Evrytania, actively participating in emergency care at the General Hospital of Karpenisi. Her expertise deepened when she became a scientific associate at the Pediatric Neurology Unit of the First Pediatric Clinic of the National University of Athens. She then pursued her residency in pediatrics at the First University Pediatric Clinic – Children’s Hospital “Agia Sophia” from November 2018 to May 2022, ultimately obtaining her specialty title in June 2022. Currently, she is serving as a pediatrician at the Konstantopouleio General Hospital “Agia Olga,” continuing her mission to provide excellent pediatric care.

📝 Contributions and Research Focus

Ms. Kollia’s dedication to medical research has significantly contributed to the field of pediatric neurology. Her postgraduate studies in “Clinical Pediatrics and Nursing-Research,” completed with an exceptional grade of “Excellent 9.31,” strengthened her academic foundation. Her ongoing doctoral dissertation at the National Kapodistrian University of Athens focuses on movement disorders in pediatric patients with early-onset developmental and epileptic encephalopathy, a field crucial for advancing neurological care in children. Her research efforts have led to an upcoming publication in the European Journal of Paediatric Neurology, further establishing her as a valuable contributor to the scientific community.

🌟 Accolades and Recognition

Ms. Kollia’s unwavering commitment to medicine has been recognized through her outstanding academic achievements and professional milestones. From excelling in her graduate and postgraduate studies to securing prestigious residency and specialization opportunities, she has consistently demonstrated excellence in her field. Her acceptance into renowned institutions and her involvement in vital research projects underline her credibility and expertise in pediatric neurology.

💪 Impact and Influence

Beyond her clinical and academic contributions, Dr. Kollia has actively participated in voluntary medical programs, extending her expertise to underserved populations. She contributed to emergency case observations at the Children’s Hospital “Agia Sophia” and participated in medical landing programs in remote islands, showcasing her dedication to public health. Her influence extends to mentoring young medical professionals, sharing her knowledge, and contributing to the medical community’s growth.

💡 Legacy and Future Contributions

With a passion for advancing pediatric neurology, Dr. Kollia continues to shape the future of medical research and patient care. Her work in understanding movement disorders in children with epileptic encephalopathy holds the potential to improve diagnostic and therapeutic approaches in pediatric neurology. As she progresses in her career, her contributions to both clinical practice and scientific research will undoubtedly leave a lasting impact on the medical community and the lives of the children she treats.

 

Publication

  • Title: The genetic etiology in cerebral palsy mimics: the results from a Greek tertiary care center
    Authors: V Zouvelou, D Yubero, L Apostolakopoulou, E Kokkinou, M Bilanakis, …
    Year: 2019

 

  • Title: MOTOR PHENOTYPING IN A GREEK COHORT OF PATIENTS WITH NEONATAL AND INFANTILE ONSET DEVELOPMENTAL AND EPILEPTIC ENCEPHALOPATHY
    Authors: E Kollia, E Kokkinou, C Outsika, G Koltsida, V Zouvelou, A Vontzalidis, …
    Year: 2025

 

🌟 Conclusion

Ms. Kollia’s journey exemplifies the perfect blend of academic excellence, professional expertise, and compassionate patient care. Through her research and clinical endeavors, she continues to advance the understanding and treatment of pediatric neurological disorders. Her unwavering dedication to improving children’s health positions her as a leading figure in pediatric medicine. With her vision for excellence and continued contributions, she is set to leave a lasting impact on the medical field, inspiring future generations of healthcare professionals.

Alytia Levendosky | Behavioral Neuroscience | Best Researcher Award

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Dr. Alytia Levendosky | Behavioral Neuroscience | Best Researcher Award

Dr. Alytia Levendosky, Michigan State University, United States.

Alytia Akiko Levendosky’s academic journey began with a strong foundation in Biological Anthropology at Harvard-Radcliffe College, where she graduated Magna Cum Laude. Her passion for understanding the complexities of human behavior led her to pursue advanced studies in Clinical Psychology at the University of Michigan, culminating in a Ph.D. in 1995. As a professor at Michigan State University, she has excelled in research and teaching, making significant contributions to the study of mental health, developmental psychology, and human behavior. Her work reflects a balance of intellectual rigor, compassion, and a dedication to advancing the field.

Profile

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Scopus

🌱 Early Academic Pursuits

Alytia Akiko Levendosky began her remarkable academic journey at Harvard-Radcliffe College, where she pursued a Bachelor of Arts in Biological Anthropology, graduating Magna Cum Laude in 1987. Her early fascination with the biological and psychological dimensions of human behavior laid a strong foundation for her future endeavors. Harvard’s intellectually vibrant environment nurtured her curiosity, sparking a lifelong passion for understanding human development and mental health.

🎓 Professional Endeavors in Psychology

After completing her undergraduate studies, Alytia delved deeper into the field of psychology at the University of Michigan, earning her Master’s degree in Clinical Psychology in 1992 and a Ph.D. in 1995. Her doctoral work showcased her commitment to unraveling the complexities of clinical psychology, marking her as a rising star in the discipline. As a faculty member in the Department of Psychology at Michigan State University, she dedicated herself to advancing both research and teaching. Her contributions to the academic community have made her an influential figure in the field.

🧠 Contributions to Research and Understanding

Alytia’s research has primarily focused on clinical psychology, with a particular interest in the interaction between biological and psychological factors in human behavior. Through her work, she has contributed significant insights into mental health, developmental psychology, and behavioral patterns. Her scholarly pursuits reflect a balance of rigorous scientific inquiry and a compassionate understanding of the human condition.

🌟 Accolades and Recognition

Throughout her academic career, Alytia has been celebrated for her intellectual contributions and dedication to teaching. Her ability to inspire students and colleagues alike has earned her a place of respect and admiration in the academic world. Her research achievements and the success of her students speak volumes about her influence as an educator and mentor.

🌍 Impact on Mental Health and Human Development

Alytia’s work has had a profound impact on the study of mental health and human development. By integrating clinical practices with research, she has advanced the understanding of complex psychological phenomena, contributing to improved therapeutic approaches. Her dedication to fostering a deeper comprehension of mental well-being has resonated far beyond the classroom and the research lab.

🔑 Legacy of Knowledge and Insight

Alytia’s enduring legacy lies in her commitment to pushing the boundaries of knowledge in psychology. Her intellectual rigor and empathetic perspective have left an indelible mark on her students, colleagues, and the broader psychological community. The ripple effects of her work continue to influence future generations of psychologists and researchers.

🚀 Future Contributions to Psychology

With her rich background in clinical psychology and her passion for research, Alytia remains poised to make further contributions to the field. Her ongoing efforts to bridge gaps in understanding human behavior promise to drive new discoveries and inspire meaningful progress in mental health care and psychological research.

 

Publications

  • Parenting in battered women: The effects of domestic violence on women and their children
    Authors: AA Levendosky, SA Graham-Bermann
    Year: 2001

 

  • The impact of domestic violence on the maternal-child relationship and preschool-age children’s functioning
    Authors: AA Levendosky, AC Huth-Bocks, DL Shapiro, MA Semel
    Year: 2003

 

  • Resilience among children exposed to domestic violence: The role of risk and protective factors
    Authors: C Martinez-Torteya, G Anne Bogat, A Von Eye, AA Levendosky
    Year: 2009

 

  • Traumatic stress symptoms in children of battered women
    Authors: SA Graham-Bermann, AA Levendosky
    Year: 1998

 

  • Phase-shifting effects of bright morning light as treatment for delayed sleep phase syndrome
    Authors: NE Rosenthal, JR Joseph-Vanderpool, AA Levendosky, SH Johnston, …
    Year: 1990

 

  • Trauma symptoms among infants exposed to intimate partner violence
    Authors: GA Bogat, E DeJonghe, AA Levendosky, WS Davidson, A Von Eye
    Year: 2006

 

  • Domestic violence, maternal parenting, maternal mental health, and infant externalizing behavior
    Authors: AA Levendosky, KL Leahy, GA Bogat, WS Davidson, A Von Eye
    Year: 2006

 

  • Trauma symptoms in preschool-age children exposed to domestic violence
    Authors: AA Levendosky, AC Huth-Bocks, MA Semel, DL Shapiro
    Year: 2002

 

  • Adolescent survivors of childhood sexual abuse: The mediating role of attachment style and coping in psychological and interpersonal functioning
    Authors: DL Shapiro, AA Levendosky
    Year: 1999

 

  • The direct and indirect effects of domestic violence on young children’s intellectual functioning
    Authors: AC Huth-Bocks, AA Levendosky, MA Semel
    Year: 2001

 

🌟 Conclusion

Alytia’s career is a testament to her profound commitment to unraveling the complexities of the human mind and fostering mental well-being. Through her research, teaching, and mentorship, she has inspired countless students and peers, leaving a lasting impact on the field of psychology. As she continues her journey, her contributions promise to shape the future of psychological research, ensuring that her legacy will endure for generations to come.

Samira Jafari | Brain Mapping | Best Researcher Award

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Dr. Samira Jafari | Brain Mapping | Best Researcher Award

Dr Samira Jafari, Kerman university of medical sciences, Iran.

Dr. Samira Jafari, a distinguished Ph.D. in Biostatistics at Kerman University of Medical Sciences, is a leading researcher in biostatistics, machine learning methods, and meta-analysis. With 11 research projects and 11 journal publications in SCI and Scopus-indexed journals, she has made significant contributions to healthcare research, focusing on data-driven solutions. Her work in integrating machine learning with biostatistical models aims to enhance health data analysis, with the potential for improving disease prediction, public health policies, and medical practices.

Profile

Scholar

Early Academic Pursuits: The Foundation of Expertise 📚

Dr. Jafari’s academic journey began with a strong foundation in biostatistics, where she honed her analytical skills and developed a passion for understanding the intricacies of data. During her studies, she was captivated by the potential of machine learning to transform data analysis in healthcare, laying the groundwork for her future endeavors. Her early academic pursuits focused on mastering statistical models and computational techniques, which would become the bedrock of her later research.

Professional Endeavors: Shaping Research Landscape 🧑‍🔬

Since completing her Ph.D., Dr. Jafari has become a key figure in advancing biostatistics research, particularly through her exploration of machine learning applications. At Kerman University of Medical Sciences, she has led numerous research projects, with a total of 11 completed and ongoing studies. Her expertise has contributed to groundbreaking work in applying biostatistics and machine learning methods to analyze large-scale healthcare data. Dr. Jafari’s research provides essential insights that enhance the understanding of disease patterns and contribute to better health outcomes.

Contributions and Research Focus: Bridging Knowledge and Practice 🧠

Dr. Jafari’s research contributions are particularly notable in the integration of machine learning algorithms with biostatistics to improve health data interpretation. Her work includes innovative meta-analytic methods to synthesize complex data and uncover underlying patterns that inform healthcare practices. By combining machine learning with statistical models, she has been able to provide robust solutions for various medical and epidemiological studies. With 11 journal publications in top-tier journals like SCI and Scopus, her research has had a significant impact on advancing statistical methods in biostatistics.

Accolades and Recognition: Scholarly Achievements 🏆

Dr. Jafari’s scholarly achievements have not gone unnoticed. Her work has earned recognition through a citation index of 2, reflecting her contributions to the academic community. Despite the limited citations, her research is highly regarded for its innovative approach to statistical modeling and its potential applications in the field of biostatistics. She has made a lasting impression through her academic rigor, innovative methods, and dedication to enhancing the quality of healthcare research.

Impact and Influence: Leading the Way in Quantitative Healthcare Research 🌍

Dr. Jafari’s work in biostatistics and machine learning has influenced both academic research and practical applications in healthcare. Her innovative approaches to analyzing and interpreting health data have the potential to change how public health research is conducted, improving the accuracy and efficacy of healthcare models. The widespread application of her research is likely to influence future healthcare policy and contribute to the development of more precise, data-driven medical treatments.

Legacy and Future Contributions: A Path to Continued Innovation 🔮

Dr. Jafari’s research journey is far from over. With numerous ongoing projects, she is poised to continue contributing to the field of biostatistics, machine learning, and meta-analysis. As a dedicated researcher, her future work promises to explore new frontiers in data analysis, helping to bridge the gap between complex statistical methods and practical healthcare applications. Dr. Jafari’s contributions will undoubtedly have a lasting impact on the way we analyze medical data, shaping the future of healthcare and biostatistics for years to come.

📚 Publications

  • Title: The best drug supplement for obesity treatment: a systematic review and network meta-analysis
    Authors: N Salari, S Jafari, N Darvishi, E Valipour, M Mohammadi, K Mansouri, …
    Year: 2021

 

  • Title: Classifying patients with lumbar disc herniation and exploring the most effective risk factors for this disease
    Authors: S Jafari, T Dehesh, F Iranmanesh
    Year: 2019

 

  • Title: Diagnosis of borderline personality disorder based on Cyberball social exclusion task and resting-state fMRI: using machine learning approach as an auxiliary tool
    Authors: S Jafari, A Almasi, H Sharini, S Heydari, N Salari
    Year: 2023

 

  • Title: The best surgical treatment for cervical radiculopathy: a systematic review and network meta-analysis
    Authors: A Almasi, S Jafari, L Solouki, N Darvishi
    Year: 2023

 

  • Title: Radiomics-based machine learning for automated detection of Pneumothorax in CT scans
    Authors: H Alimiri Dehbaghi, K Khoshgard, H Sharini, S Jafari Khairabadi, …
    Year: 2024

 

  • Title: Diagnosis of traumatic liver injury on computed tomography using machine learning algorithms and radiomics features: The role of artificial intelligence for rapid diagnosis in …
    Authors: HA Dehbaghi, K Khoshgard, H Sharini, SJ Khairabadi
    Year: 2024

 

  • Title: A assessment of the effects of parental age on the development of autism in children: a systematic review and a meta-analysis
    Authors: T Dehesh, MA Mosleh-Shirazi, S Jafari, E Abolhadi, P Dehesh
    Year: 2024

 

Conclusion

Dr. Samira Jafari stands as a trailblazer in the field of biostatistics and machine learning, making invaluable contributions to healthcare research. Through her innovative integration of machine learning with biostatistical models, she has advanced our understanding of complex health data, paving the way for more accurate predictions and improved healthcare outcomes. With her extensive research experience and a clear commitment to bridging data analysis with real-world medical applications, Dr. Jafari is set to leave a lasting legacy in both academic and healthcare sectors.