Congbo Cai | Neurotechnology | Best Researcher Award

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Prof. Dr. Congbo Cai | Neurotechnology | Best Researcher Award

Prof. Dr. Congbo Cai | Xiamen University | China

Professor Congbo Cai is a distinguished researcher at the School of Electronic Science and Technology, Xiamen University, specializing in advanced Magnetic Resonance Imaging (MRI) technology development. His research encompasses ultra-fast imaging, multi-parametric quantitative MRI, deep learning reconstruction, novel neuroimaging techniques, and quantitative medical image analysis. He has led and contributed to numerous high-impact projects, including national key R&D programs, NSFC key projects, and international cooperative projects, with funding totaling several million yuan. His innovations include pioneering high-entropy encoding and overlapping-echo designs, enabling rapid, high-fidelity MRI mapping, and integrating physics-informed deep learning for enhanced image reconstruction and clinical applications. Professor Cai has published over 80 papers in leading journals such as NeuroImage, IEEE Transactions on Medical Imaging, and Medical Image Analysis. He holds 12 patents and serves on editorial boards, including Health and Metabolism, and as a guest editor for Frontiers in Neuroscience. His professional contributions extend to active membership and leadership roles in major MRI societies. His work has garnered significant academic recognition, with a citation count exceeding 2,300 across 872 documents, an h-index of 25, and an i10-index of 55. Professor Cai’s research continues to advance MRI science, bridging cutting-edge technology and clinical translation.

Profiles: Scopus | Google Scholar | Research Gate | Linked In

Featured publications

  • Author(s). (2018). Accelerating multi-slice spatiotemporally encoded MRI with simultaneous echo refocusing. Journal of Magnetic Resonance.

  • Author(s). (2018). Single-shot T2 mapping using overlapping-echo detachment planar imaging and a deep convolutional neural network. Magnetic Resonance in Medicine.

  • Author(s). (2018). Referenceless distortion correction of gradient-echo echo-planar imaging under inhomogeneous magnetic fields based on a deep convolutional neural network. Computers in Biology and Medicine.

  • Author(s). (2018). Weighted total variation using split Bregman fast quantitative susceptibility mapping reconstruction method. Chinese Physics B.

  • Author(s). (2018). Simultaneous single- and multi-contrast super-resolution for brain MRI images based on a convolutional neural network. Computers in Biology and Medicine.

  • Author(s). (2018). Motion-tolerant diffusion mapping based on single-shot overlapping-echo detachment (OLED) planar imaging. Magnetic Resonance in Medicine.

VIKRAM SINGH KARDAM | Neuroinformatics | Best Researcher Award

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Mr. VIKRAM SINGH KARDAM | Neuroinformatics | Best Researcher Award

Mr. VIKRAM SINGH KARDAM, DTU DELHI, India.

Vikram Singh Kardam is a dedicated researcher and academician specializing in signal processing, currently pursuing his Ph.D. at Delhi Technological University (DTU). With a strong educational foundation, including an M.Tech in Signal Processing and Digital Design, and a B.Tech in Electronics and Communication Engineering, he has consistently demonstrated academic excellence. Vikram has diverse professional experience, having worked both in industry and academia, including roles as a Project Engineer and Assistant Professor. His innovative M.Tech thesis on real-time iris recognition highlights his ability to apply advanced concepts to practical challenges in biometric security. Proficient in multiple programming languages and known for his problem-solving attitude, he blends technical skill with teaching acumen, influencing students and peers alike. His GATE rank and contributions to student development further underscore his commitment to excellence in engineering and education.

Profile

Scopus

 

🎓 Early Academic Pursuits

Vikram Singh Kardam’s academic journey began with a solid foundation in science and technology. He completed his 10th and 12th education from Government Inter College, Agra, achieving commendable marks that laid the groundwork for his future in engineering. His higher education commenced at the University Institute of Engineering and Technology, CSJM University, Kanpur, where he earned his Bachelor of Technology in Electronics and Communication Engineering in 2007 with a respectable score of 73.2%. Driven by a passion for advanced studies, he pursued a Master of Technology in Signal Processing and Digital Design from Delhi Technological University (DTU), securing a CGPA of 8.06 in 2017. His academic path reflects not only consistent effort but also a dedication to the field of signal processing.

🧑‍🏫 Professional Endeavors

Vikram embarked on his professional career with diverse roles that bridged academia and industry. He served as a Project Engineer at ITI Limited, Delhi, and as a Lab Engineer at Dayalbagh Engineering College, Agra, gaining hands-on experience in real-world engineering environments. His passion for teaching led him to academia, where he worked as an Assistant Professor in reputed institutions such as Galgotias College of Engineering and Technology, Greater Noida, and HMR Institute of Technology and Management, Delhi. With around three years of cumulative teaching experience, he has imparted theoretical knowledge and practical insights in Electronics and Communication Engineering, contributing to the academic development of numerous students.

🔬 Contributions and Research Focus

Currently pursuing his Ph.D. in Signal Processing at Delhi Technological University, Vikram Singh Kardam’s research delves into the intricacies of digital signal processing with real-world applications. His M.Tech thesis, titled “Real Time Iris Recognition”, showcases his innovation in biometric security systems. By integrating iris recognition with eye-blinking detection using a basic webcam, he proposed a novel, low-cost, and more secure method for identity verification. The system’s robustness and its resistance to hacking highlight his ability to merge theoretical concepts with practical utility. His fluency in programming languages such as MATLAB, C, C++, and Python3 supports his technical versatility in algorithm development and simulation.

🏅 Accolades and Recognition

A noteworthy milestone in Vikram’s academic journey is securing an All India Rank of 5334 in the GATE 2021 examination in Electronics and Communication Engineering. This national-level achievement is a testament to his strong grasp of core concepts and problem-solving acumen. Additionally, his academic performances during B.Tech and M.Tech reflect sustained excellence. His thesis project, recognized for its practical application and innovative approach, further enhances his academic reputation.

📚 Impact and Influence

In his role as an Assistant Professor, Vikram Singh Kardam has significantly influenced his students’ academic and professional growth. His commitment to regularly conducting lectures, his focus on ensuring student understanding, and his hands-on approach to lab sessions highlight his dedication to holistic teaching. Beyond knowledge delivery, his empathetic and analytical mindset enables him to mentor students, offer academic guidance, and solve problems effectively. His ability to integrate teaching with research creates an inspiring learning environment.

🌐 Legacy and Future Contributions

Looking forward, Vikram aspires to contribute to both academia and industry through innovative research in signal processing, embedded systems, and biometric technology. His current Ph.D. pursuits are expected to yield impactful contributions to the scientific community, particularly in the areas of real-time data analysis and secure identification systems. With a forward-thinking vision, he aims to blend educational excellence with technological advancement, fostering a new generation of engineers equipped with both critical thinking and creative problem-solving skills.

🧠 Vision and Intellect

At the core of Vikram Singh Kardam’s career is a mindset defined by curiosity, dedication, and the pursuit of knowledge. A quick learner and an effective communicator, he embodies the spirit of modern engineering – adaptive, analytical, and collaborative. His ability to learn and implement complex systems, along with his respect for students and colleagues, reflects not just technical competence but also emotional intelligence. As a lifelong learner and educator, he is poised to make enduring contributions in signal processing and beyond.

Publication

  • Title: BSPKTM-SIFE-WST: Bispectrum based channel selection using set-based-integer-coded fuzzy granular evolutionary algorithm and wavelet scattering transform for motor imagery EEG classification

  • Authors: V.S. Kardam, S. Taran, A. Pandey

  • Year: 2025

 

 

✅ Conclusion

Vikram Singh Kardam stands out as a promising scholar and educator in the field of signal processing. His journey reflects a balance of theoretical rigor, practical implementation, and a passion for continuous learning. With a future-oriented mindset, he is poised to make meaningful contributions to biometric systems, digital design, and the broader engineering community. As he advances through his doctoral research and professional engagements, Vikram’s legacy is one of innovation, dedication, and impactful mentorship in the evolving landscape of technology and education.

Che Ping Cheng | Translational Neuroscience | Best Researcher Award

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Prof. Che Ping Cheng | Translational Neuroscience | Best Researcher Award

Prof. Che Ping Cheng, Wake Forest University School of Medicine, United States.

Dr. Che Ping Cheng, M.D., Ph.D., FAHA, is a distinguished cardiovascular physiologist and internal medicine specialist whose career has been dedicated to advancing the understanding of heart function and failure. From earning his medical degree in China to completing a Ph.D. in Physiology at Wayne State University, and later conducting pivotal postdoctoral research at Wake Forest School of Medicine, Dr. Cheng has consistently pursued excellence in science and education. His research on ventricular mechanics, volume loading, and heart failure has significantly influenced both experimental cardiology and clinical practice. Recognized as a Fellow of the American Heart Association, he is also a dedicated mentor, shaping the next generation of cardiovascular researchers through his academic leadership.

Profile

Scopus

 

🎓 Early Academic Pursuits

Dr. Che Ping Cheng’s journey into medicine and science began in Nanjing, China, where he earned his M.D. degree from Nanjing Railway Medical University in 1977. His early academic path reflected a deep interest in understanding the intricacies of human health, particularly in cardiovascular physiology. Driven by a desire to expand his knowledge and research capabilities, Dr. Cheng pursued his Ph.D. in Physiology at Wayne State University School of Medicine in Detroit, Michigan, completing his degree in 1986. Under the mentorship of Dr. Robert S. Shepard, his doctoral work focused on exploring the mechanisms of cardiovascular response to volume loading in a canine model with tricuspid valvulectomy, setting a strong foundation for his lifelong focus on heart function and disease mechanisms.

🩺 Professional Endeavors

Following his academic training, Dr. Cheng embarked on postdoctoral studies at the Bowman Gray School of Medicine (now part of Wake Forest School of Medicine), where he continued to cultivate his expertise in internal medicine and cardiovascular physiology. Between 1986 and 1988, he served as a Postdoctoral Fellow under the guidance of Dr. William C. Little. His research during this period focused on ventricular dynamics and the physiological factors affecting active ventricular filling, which would later inform his broader work on heart failure and cardiac function. Dr. Cheng has since remained at Wake Forest School of Medicine, where he is currently a distinguished member of the Section on Cardiovascular Medicine.

🧪 Contributions and Research Focus

Dr. Cheng’s career has been characterized by a deep commitment to advancing the understanding of cardiac hemodynamics, ventricular interaction, and heart failure mechanisms. His research has explored how ventricular function responds under altered physiological states, and how these responses inform disease progression and treatment strategies. His early animal model studies have provided critical insights into the interplay between structural and functional changes in the heart, especially in the context of diastolic dysfunction and volume overload conditions. Dr. Cheng has also made significant strides in translating these findings to clinical contexts, influencing how cardiologists approach diagnosis and therapy.

🏅 Accolades and Recognition

Throughout his career, Dr. Cheng has received considerable recognition for his scholarly contributions. He is a Fellow of the American Heart Association (FAHA), an honor that reflects his standing in the field of cardiovascular research and his commitment to scientific excellence. His work has earned the respect of colleagues and institutions alike, leading to numerous invitations to contribute to collaborative projects, serve on peer-review panels, and mentor future generations of cardiovascular researchers.

🌍 Impact and Influence

Dr. Cheng’s work has had a lasting impact on both experimental and clinical cardiology. By elucidating the mechanistic basis of ventricular dysfunction, he has helped shift paradigms in heart failure management, particularly in the areas of ventricular interdependence and preload responsiveness. His research findings are frequently cited in textbooks and high-impact journals, and they continue to inform guidelines for cardiac care and interventions. Through his work at Wake Forest and beyond, Dr. Cheng has played a pivotal role in bridging laboratory discoveries with bedside applications.

👨‍🏫 Legacy and Mentorship

As a respected mentor and educator, Dr. Cheng has dedicated a significant portion of his career to training medical students, residents, and postdoctoral fellows. His mentorship has influenced numerous emerging scholars in cardiovascular medicine, many of whom have gone on to successful academic and clinical careers. His guidance combines a rigorous scientific approach with a deep sense of responsibility to patient care and scientific integrity, shaping a legacy that extends well beyond his own research output.

🔬 Future Contributions and Vision

Looking ahead, Dr. Cheng remains committed to the advancement of cardiovascular research, with a continued focus on uncovering the cellular and mechanical determinants of heart disease. His vision includes fostering collaborative projects that integrate biomedical engineering, imaging, and computational modeling to further understand cardiac performance. With decades of experience and a forward-thinking approach, Dr. Cheng’s future contributions are poised to leave a lasting mark on the field of translational cardiovascular medicine.

Publication

  1. Title: Increased CaMKII activation and contrast changes of cardiac β1-and β3-Adrenergic signaling pathways in a humanized angiotensinogen model of hypertension
    Authors: Sun, Xiaoqiang; Cao, Jing; Chen, Zhe; Ferrario, Carlos M.; Cheng, Cheping
    Year: 2023
    Journal: Heliyon

 

  1. Title: Calmodulin-dependent protein kinase II activation promotes kidney mesangial expansion in streptozotocin-induced diabetic mice
    Authors: Mikhailov, Alexei V.; Liu, Yixi; Cheng, Hengjie; Lin, Jen Jar; Cheng, Cheping
    Year: 2022
    Journal: Heliyon

 

  1. Title: Chronic GPR30 agonist therapy causes restoration of normal cardiac functional performance in a male mouse model of progressive heart failure: Insights into cellular mechanisms
    Authors: Zhang, Xiaowei; Li, Tiankai; Cheng, Hengjie; Groban, Leanne; Cheng, Cheping
    Year: 2021
    Journal: Life Sciences

 

  1. Title: Chronic Ca2+/calmodulin-dependent protein Kinase II inhibition rescues advanced heart failure
    Authors: Liu, Yixi; Shao, Qun; Cheng, Hengjie; Zhao, David Xiao Ming; Cheng, Cheping
    Year: 2021
    Journal: Journal of Pharmacology and Experimental Therapeutics

 

  1. Title: The Angiotensin-(1–12)/Chymase axis as an alternate component of the tissue renin angiotensin system
    Authors: Ferrario, Carlos M.; Groban, Leanne; Wang, Hao; Sun, Xuming; Ahmad, Sarfaraz
    Year: 2021
    Journal: Molecular and Cellular Endocrinology

 

  1. Title: Reversal of angiotensin-(1–12)-caused positive modulation on left ventricular contractile performance in heart failure: Assessment by pressure-volume analysis
    Authors: Li, Tiankai; Zhang, Zhi; Zhang, Xiaowei; Ferrario, Carlos M.; Cheng, Cheping
    Year: 2020
    Journal: International Journal of Cardiology

 

  1. Title: Female Heart Health: Is GPER the Missing Link?
    Authors: Groban, Leanne; Tran, Q. K.; Ferrario, Carlos M.; Wang, Hao; Lindsey, Sarah H.
    Year: (Not specified, but likely 2020 or 2021)
    Journal: (Not specified)

 

🏁 Conclusion

Dr. Cheng’s legacy is one of intellectual rigor, clinical relevance, and mentorship. His work has not only deepened the scientific understanding of cardiac physiology but has also shaped modern approaches to diagnosing and managing heart failure. With a career spanning continents and disciplines, Dr. Cheng continues to be a guiding force in cardiovascular medicine, and his future contributions are anticipated to further advance the frontiers of heart research and patient care.

 

Jun Liu | Neuroimaging | Best Researcher Award

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Prof.Dr. Jun Liu | Neuroimaging | Best Researcher Award

Prof. Dr. Jun Liu,  Department of Radiology, Second Xiangya Hospital of Central South University, China.

Professor Jun Liu is a highly accomplished radiologist and academic leader, serving as the Chief Radiologist and Director of the Radiology Department at the Second Xiangya Hospital, Central South University. With a strong foundation in medical sciences and an early passion for radiology, he has emerged as a national figure in neuroimaging and neuroregeneration research. His professional journey is marked by impactful roles in academic mentorship, hospital administration, and national medical organizations. His research excellence is evident through his leadership in multiple prestigious committees and his contributions to scientific review and innovation. Recognized by both government and medical associations, Professor Liu is a decorated figure, celebrated for his medical service during COVID-19 and his scientific leadership in Hunan Province and beyond.

Profile

Orcid 

Scopus

 

Professor Jun Liu is a highly accomplished radiologist and academic leader, serving as the Chief Radiologist and Director of the Radiology Department at the Second Xiangya Hospital, Central South University. With a strong foundation in medical sciences and an early passion for radiology, he has emerged as a national figure in neuroimaging and neuroregeneration research. His professional journey is marked by impactful roles in academic mentorship, hospital administration, and national medical organizations. His research excellence is evident through his leadership in multiple prestigious committees and his contributions to scientific review and innovation. Recognized by both government and medical associations, Professor Liu is a decorated figure, celebrated for his medical service during COVID-19 and his scientific leadership in Hunan Province and beyond.

Profile

Orcid
Scopus

 

🎓 Early Academic Pursuits


From the very beginning of his academic journey, Professor Jun Liu demonstrated exceptional dedication to the medical sciences. He earned his M.D. and laid a solid foundation in radiology, developing a keen interest in diagnostic imaging and neurological disorders. His academic commitment and intellectual curiosity propelled him toward advanced studies and laid the groundwork for a distinguished career in radiology. As a student and early-career academic, he was recognized for his strong analytical skills and leadership potential, setting the stage for the impactful roles he would later assume in both clinical and academic spheres.

🏥 Professional Endeavors


Professor Jun Liu currently serves as the Chief Radiologist and Director of the Radiology Department at the prestigious Second Xiangya Hospital of Central South University. In this role, he oversees cutting-edge radiological practices while also guiding clinical decision-making with expertise and precision. As a Doctoral Supervisor and Professor, he mentors a new generation of radiologists, integrating academic knowledge with clinical excellence. His influence also extends into organizational leadership as the Secretary of the First Party Branch, showcasing his commitment to institutional development and medical governance.

🔬 Contributions and Research Focus


A pivotal force in radiology, Professor Liu has devoted much of his research to neuroimaging and neuroregeneration. His work as the headman of the Neuroregeneration and Neuroimaging Group under the Chinese Research Hospital Association reflects his influence in shaping national research priorities. As a peer review expert for the National Natural Science Foundation of China, he contributes to the advancement of scientific standards and research integrity. His projects often intersect clinical imaging with neuroscience, allowing for better diagnosis and understanding of neurological diseases.

🏅 Accolades and Recognition


Professor Liu’s contributions have earned him numerous national honors. Notably, he was awarded the Advanced Individual against COVID-19 by the Ministry of Science and Technology of the People’s Republic of China, acknowledging his dedication during a critical period in global health. He received the Outstanding Style Award at the 5th People’s Famous Doctor Ceremony, and has been recognized as a leading talent in the Science and Technology Innovation Program of Hunan Province. His role as leader of 225 subjects in the province showcases his broad expertise and leadership in medical research and education.

🌐 Impact and Influence


Nationally, Professor Liu plays a vital role in shaping radiological standards and neurology practices. As a member of the Neurology Group under the Chinese Society of Radiology and the Chinese Medical Association, his insights influence nationwide healthcare policies and training programs. In Hunan, he is the Director of the Diagnostic Radiology Quality Control Center and President of the Radiologists Branch of the Hunan Medical Doctor Association, where he continues to elevate diagnostic standards and ensure quality in radiological services.

🚀 Innovation and Leadership


Professor Liu stands as a prime example of a “Double Leaders” Party Branch Secretary, a title awarded by the Ministry of Education, symbolizing excellence in both administrative and academic leadership. His involvement in technology-driven projects, particularly those that integrate AI and neuroimaging, highlights his forward-thinking approach to medical diagnostics. He champions the evolution of radiology into a more dynamic and precision-focused discipline, blending traditional expertise with technological innovations.

📘 Legacy and Future Contributions


As Professor Liu continues to mentor doctoral candidates and lead national research groups, his legacy is already visible in the improved radiological practices across China. His work in neuroregeneration and imaging not only enhances clinical outcomes but also pushes the boundaries of what medical imaging can achieve. In the years to come, his continued dedication to education, research, and innovation will undoubtedly shape the future of radiology and contribute to better neurological healthcare nationwide and beyond.

Publication

  • Title: Insulinoma detection on low-dose pancreatic CT perfusion: comparing with conventional contrast-enhanced CT and MRI
    Authors: S. Luo, X. Mei, Y. Shang, … W. Yang, J. Liu
    Year: 2025

 

  • Title: Functions and application of circRNAs in vascular aging and aging-related vascular diseases
    Authors: S. He, B. Huang, F. Xu, … X. Lin, J. Liu
    Year: 2025

 

  • Title: Persistent alterations in gray matter in COVID-19 patients experiencing sleep disturbances: a 3-month longitudinal study
    Authors: K. Zhou, G. Duan, Y. Liu, … J. Yang, D. Deng
    Year: 2025

 

  • Title: Multimodal radiopathological integration for prognosis and prediction of adjuvant chemotherapy benefit in resectable lung adenocarcinoma: A multicentre study
    Authors: H. Lin, J. Hua, Z. Gong, … C. Lu, Z. Liu
    Year: 2025

 

  • Title: Prognostic and predictive values of a multimodal nomogram incorporating tumor and peritumor morphology with immune status in resectable lung adenocarcinoma
    Authors: H. Lin, J. Hua, Y. Wang, … J. Liu, Z. Liu
    Year: 2025

 

  • Title: White matter microstructural alterations are associated with cognitive decline in benzodiazepine use disorders: a multi-shell diffusion magnetic resonance imaging study
    Authors: M. Yi, T. Wang, X. Li, … J. Liu, H. Zhou
    Year: 2025

 

  • Title: Unveiling causal relationships between addiction phenotypes and inflammatory cytokines: insights from bidirectional mendelian randomization and bibliometric analysis
    Authors: S. Cao, L. Yang, X. Wang, … S. Tang, J. Liu
    Year: 2025

 

  • Title: Microstructure changes of the brain preceded glymphatic function changes in young obesity with and without food addiction
    Authors: M. Yi, Z. Yule, W. Song, … J. Liu, H. Zhou
    Year: 2025

 

  • Title: Distinct insula subdivisions of resting-state functional connectivity in individuals with opioid and methamphetamine use disorders
    Authors: W. Yang, X. Wen, Z. Du, … K. Yuan, J. Liu
    Year: 2025

 

  • Title: Unraveling the Diffusion MRI-Based Glymphatic System Alterations in Children with Rolandic Epilepsy
    Authors: Y. Yin, M. Ma, F. Wang, … J. Liu, H. Liu
    Year: 2025

 

✅ Conclusion


Professor Jun Liu’s career embodies the intersection of clinical expertise, scientific innovation, and compassionate leadership. Through decades of dedication, he has transformed radiological practice and training in China, especially in neurological diagnostics. As a scholar, mentor, and administrator, his legacy continues to inspire the next generation of medical professionals. With a focus on advancing neuroimaging techniques and quality standards, Professor Liu stands as a beacon of excellence in modern radiology, with his future contributions set to further shape the landscape of medical diagnostics and research.

Ibrahim Serag | Neuroimaging | Best Researcher Award

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Dr. Ibrahim Serag | Neuroimaging | Best Researcher Award

Dr. Ibrahim Serag, Faculty of Medicine Mansoura university, Egypt.

Dr. Ibrahim Hamdino Ibrahim Serag is a dynamic intern doctor, clinical researcher, and emerging neurosurgical leader based in Mansoura, Egypt. With a stellar academic record from Mansoura University Faculty of Medicine, he has consistently demonstrated excellence both in the classroom and in clinical practice. His focused interest in neurosurgery, along with a profound commitment to medical research, has positioned him at the forefront of Egypt’s next generation of clinician-scientists.

Profile

Google Scholar

 

🧠 Early Academic Pursuits

Dr. Ibrahim Serag embarked on his journey in medicine with an unwavering curiosity for the human brain and its intricate workings. From the very beginning of his academic life at Mansoura University Faculty of Medicine, he stood out for his intellectual commitment and passion for neurosurgery. His dedication translated into academic excellence, earning him an impressive GPA of 3.78 and numerous distinctions across all courses. Early in his studies, he was drawn to the field of neurosurgery, not just for its technical challenges but for its potential to dramatically transform patient lives.

🩺 Professional Endeavors

As an intern doctor, Dr. Serag has been immersed in clinical practice while maintaining strong involvement in academic research. His elective neurosurgical rotation at Mansoura University’s hospital offered him valuable, hands-on experience that further fueled his desire to pursue neurosurgery. His professional path also includes significant leadership roles within NEGIDA Academy, where he serves as both a clinical researcher and course co-instructor, reflecting his dedication to both practice and pedagogy.

🔬 Contributions and Research Focus

Dr. Serag has carved a strong niche in neurosurgical research, particularly within the domains of systematic reviews, meta-analyses, and neuroimaging innovations. With over a dozen publications in high-impact journals and an H-index of 5, he has become a recognized voice in clinical neurology and neurosurgical diagnostics. He leads multiple collaborative research groups under Mansoura Manchester Research Society, Tanta University, and TSRA, focusing on evidence-based medicine and the clinical application of neuroscience. His work often explores the comparative effectiveness of neurosurgical techniques such as drainage, irrigation, and anesthetic modalities in chronic subdural hematomas, as well as neuroprotective agents and AI-assisted diagnostics.

🏆 Accolades and Recognition

Dr. Serag’s work has been acknowledged through multiple prestigious awards, reflecting both the depth and innovation of his research. He was honored with the Best Poster Presentation at the 4th and 5th Annual Research Days at Mansoura University, and also at the Alex Neuroscience Conference (ACN 2024). His academic distinction has earned him travel grants for ISA 2024 and ICCN 2024, affirming his growing reputation on both national and international platforms. Additionally, he received honors from university deans, cementing his place among the top emerging minds in his field.

🌍 Impact and Influence

Beyond personal accomplishments, Dr. Serag’s influence resonates through the many research groups he leads and the countless students and young doctors he mentors. His role as a team leader and course co-instructor at NEGIDA Academy enables him to share knowledge and cultivate a culture of inquiry and innovation among Egypt’s next generation of neurosurgeons. His collaborations extend internationally, where he works with senior academics and clinicians to bridge gaps in neuroclinical research and global healthcare accessibility.

📚 Legacy and Future Contributions

With a vision that goes beyond borders, Dr. Serag is determined to pioneer transformational change in neurosurgical research and practice. His future aspirations are deeply rooted in advancing minimally invasive neurosurgical techniques, expanding AI integration in neurodiagnostics, and fostering multinational research networks. As he seeks a neurosurgical residency, his goal remains steadfast: to blend clinical mastery with scholarly rigor, pushing the boundaries of neurological science for generations to come.

 

Publication

  • Title: Drainage versus no drainage after burr-hole evacuation of chronic subdural hematoma: a systematic review and meta-analysis of 1961 patients
    Authors: A Aljabali, AM Sharkawy, B Jaradat, I Serag, NM Al-Dardery, …
    Year: 2023

 

  • Title: Using artificial intelligence to improve body iron quantification: A scoping review
    Authors: AJ Nashwan, IM Alkhawaldeh, N Shaheen, I Albalkhi, I Serag, K Sarhan, …
    Year: 2023

 

  • Title: An updated systematic review of neuroprotective agents in the treatment of spinal cord injury
    Authors: I Serag, M Abouzid, A Elmoghazy, K Sarhan, SA Alsaad, RG Mohamed
    Year: 2024

 

  • Title: Irrigation versus no irrigation in the treatment of chronic subdural hematoma: An updated systematic review and meta-analysis of 1581 patients
    Authors: A Aljabali, I Serag, S Diab, AZ Alhadeethi, M Abdelhady, IM Alkhawaldeh, …
    Year: 2024

 

  • Title: Local anesthesia with sedation and general anesthesia for the treatment of chronic subdural hematoma: a systematic review and meta-analysis
    Authors: MA Abdelhady, A Aljabali, M Al-Jafari, I Serag, A Elrosasy, A Atia, A Ehab, …
    Year: 2024

 

  • Title: Insights into head and neck cancer research in Egypt: A scoping review
    Authors: MH El din Moawad, MM Shalaby, MA Sadeq, M Al-Jafari, JW A’amar, …
    Year: 2023

 

  • Title: Exploring the mechanisms and therapeutic approaches of mitochondrial dysfunction in Alzheimer’s disease: An educational literature review
    Authors: MHED Moawad, I Serag, IM Alkhawaldeh, A Abbas, A Sharaf, S Alsalah, …
    Year: 2024

 

  • Title: Postoperative elevated bed header position versus supine in the management of chronic subdural hematoma: a systematic review and meta-analysis
    Authors: I Serag, M Abdelhady, AA Awad, A Wageeh, A Shaboub, RH Elhalag, …
    Year: 2024

 

  • Title: Neuro-oncological research output in Africa: a scoping review of primary brain tumors
    Authors: MHE Moawad, M Al-Jafari, AM Taha, JW A’amar, O Alsayed, T Fayad, …
    Year: 2024

 

  • Title: Evaluating the efficacy and safety of platelet-rich plasma injection for erectile dysfunction: a systematic review and meta-analysis of randomized controlled trials
    Authors: M Deabes, MG Deameh, BA Bani Irshid, AH Al Darraji, I Serag, …
    Year: 2024

 

🧩 Conclusion

With a rare blend of clinical ambition, research innovation, and academic leadership, Dr. Ibrahim Serag is well on his path to becoming a transformative figure in neurosurgery. His ongoing contributions to evidence-based medicine, along with his global collaborations and scholarly achievements, underline a future filled with promise. Driven by curiosity and compassion, he aims not only to heal patients but to reshape how brain diseases are diagnosed and treated—leaving a lasting impact on the field of neurosurgery.

Koagne Longpa Tamo Silas | Neuroinformatics | Pioneer Researcher Award

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Mr. Koagne Longpa Tamo Silas | Neuroinformatics | Pioneer Researcher Award

Mr.  Koagne Longpa Tamo Silas, University of Dschang, Cameroon.

Koagne Longpa Tamo Silas is a dedicated researcher in the field of medical physics, specializing in automation, artificial intelligence, and electronic system design. His academic journey from Bamenda State University to Dschang State University reflects his continuous pursuit of knowledge and innovation. His contributions to circuit simulation, embedded systems, and artificial neural networks have established him as a promising figure in medical physics.

Profile

Google Scholar

🎓 Early Academic Pursuits

Born on July 12, 1998, in Mbouda, Cameroon, Koagne Longpa Tamo Silas displayed a keen interest in science and technology from a young age. His passion for physics and engineering led him to pursue higher education at Bamenda State University, where he embarked on an academic journey in Electrical and Power Engineering. His undergraduate studies, from November 2015 to August 2018, laid the foundation for his expertise in electrical systems, automation, and circuit design. Eager to expand his knowledge, he continued his postgraduate studies in the same field at Bamenda State University from September 2018 to July 2020, honing his skills in power engineering and applied electronics.

🚀 Professional Endeavors

Determined to deepen his expertise, Koagne Longpa Tamo Silas transitioned into the field of physics, enrolling as a Ph.D. student at Dschang State University in December 2022. His academic pursuits in the Department of Physics align with his interests in medical physics, where he integrates automation, applied computer science, and electronics to innovate in the field. As a dedicated researcher, he continues to engage with the Faculty of Science at Dschang State University, contributing to the academic and scientific community with his research in medical physics and embedded systems.

🤖 Contributions and Research Focus

Koagne Longpa Tamo Silas has dedicated his research efforts to the intersection of medical physics, automation, and artificial intelligence. His work encompasses Analog Artificial Neural Networks, Embedded Systems, Circuit Simulation, Digital and Analog Electronics, and Microcontroller Programming. His proficiency in tools like Spice Simulation, Cadence Virtuoso, and Electronic Design Automation allows him to design and optimize medical devices and automated systems. His research aims to enhance diagnostic and therapeutic tools in medical physics by leveraging artificial intelligence and embedded systems.

🏆 Accolades and Recognition

Throughout his academic and research career, Koagne Longpa Tamo Silas has garnered recognition for his contributions to medical physics and electronics. His innovative approach to circuit simulation and signal processing has positioned him as a promising researcher in his field. His dedication to advancing medical technologies has earned him the respect of his peers and mentors, as he continues to contribute valuable insights to the scientific community.

🌐 Impact and Influence

Through his academic journey and research, Koagne Longpa Tamo Silas has influenced the way automation and artificial intelligence are integrated into medical physics. His work in digital electronics and microcontroller programming is paving the way for innovative solutions in the medical field. His contributions extend beyond research, as he actively engages with students and researchers, fostering a culture of knowledge-sharing and scientific exploration.

 

Publication

  • A High-Resolution Non-Volatile Floating Gate Transistor Memory Cell for On-Chip Learning in Analog Artificial Neural Networks
    Authors: KLT Silas, DTA Bernard, FT Bernard, L Jean-Pierre, GW Ejuh
    Year: 2025

 

  • Breast Cancer Diagnosis with Machine Learning Using Feed-Forward Multilayer Perceptron Analog Artificial Neural Network
    Authors: B Djimeli-Tsajio Alain, KLT Silas, LT Jean-Pierre, N Thierry, GW Ejuh
    Year: 2024

 

  • Design and Implementation of a Digital Breath Alcohol Detection System with SMS Alert and Vehicle Tracking on Google Map
    Author: KLT Silas
    Year: 2020

 

  • Design and Realization of an Electronic Attendance System Based on RFID with an Automatic Door Unit
    Author: MK Jules
    Year: 2018

 

🎯 Conclusion

With a vision to transform medical physics through automation and AI-driven technologies, Koagne Longpa Tamo Silas is on a path to making significant contributions to healthcare innovation. His passion, dedication, and expertise ensure that his research will continue to shape the future of medical technology, leaving a lasting impact on both academia and practical applications in the field.

 

Hiroshi Yamada | Neuroscience | Excellence in Innovation

Published on by Neuroscientists

Mr. Hiroshi Yamada | Neuroscience | Excellence in Innovation

Mr. Hiroshi Yamada, Medical/Tsukuba, Japan.

H. Yamada, born in Kasugai, Aichi, Japan, has built an impressive academic and professional career in neuroscience. After earning his Bachelor of Science from Tohoku University, he pursued a Master’s degree at Osaka University and later obtained his Ph.D. from Kyoto Prefectural University of Medicine. His research journey took him from postdoctoral studies in Japan to New York University, where he collaborated with renowned neuroscientist Paul W. Glimcher. Returning to Japan, he served as Section Chief at the National Center of Neurology and Psychiatry before joining the University of Tsukuba, where he progressed from Assistant Professor to Associate Professor. His research focuses on neural mechanisms, contributing significantly to neuroscience through both theoretical and practical advancements.

Profile

Google Scholar

🎓 Early Academic Pursuits

H. Yamada’s academic journey reflects a deep-rooted passion for science and medicine. Born on September 9, 1977, in Kasugai, Aichi, Japan, he pursued a Bachelor of Science degree from the Faculty of Science at Tohoku University, graduating in 2000. Driven by a desire to deepen his understanding of human biology, he earned his Master of Arts from the Faculty of Medicine at Osaka University in 2002. His academic pursuits culminated in a Ph.D. from the Graduate School of Kyoto Prefectural University of Medicine in 2005, where he laid the groundwork for his future research in neuroscience.

🧠 Professional Endeavors in Neuroscience

H. Yamada’s professional career began with postdoctoral research at Kyoto Prefectural University of Medicine under the mentorship of Minoru Kimura, focusing on advanced neurological studies. His pursuit of global scientific exposure led him to New York University in 2008, where he worked with renowned neuroscientist Paul W. Glimcher. Upon returning to Japan, Yamada took on a leadership role as Section Chief at the National Center of Neurology and Psychiatry, National Institute of Neuroscience, from 2011. This role was pivotal in shaping his expertise in neurological research, ultimately leading to his tenure as Assistant Professor at the University of Tsukuba in 2013, and later as Associate Professor in 2022.

🔬 Contributions and Research Focus

Throughout his career, H. Yamada has been dedicated to unraveling the complexities of the human brain. His research primarily focuses on neuroscience, exploring neural mechanisms underlying behavior and cognition. At the University of Tsukuba, he has contributed significantly to the understanding of brain functions, merging experimental data with theoretical models to advance the field. His collaborations with international experts have enriched his approach, making his work both diverse and impactful.

🏅 Accolades and Recognition

Yamada’s contributions to neuroscience have earned him recognition within the academic community. His leadership roles and tenured position at the University of Tsukuba reflect his outstanding research and teaching capabilities. His work at prestigious institutions like New York University and the National Center of Neurology and Psychiatry has further solidified his reputation as a respected neuroscientist, contributing to both national and international scientific advancements.

🌍 Impact and Influence

H. Yamada’s research has had a profound impact on the field of neuroscience, influencing both academic circles and clinical practices. His studies on neural behavior have provided insights that bridge the gap between theoretical neuroscience and practical applications, aiding in the development of treatments for neurological disorders. As an educator, he has mentored numerous students, fostering the next generation of neuroscientists.

🚀 Legacy and Future Contributions

Looking ahead, H. Yamada is committed to expanding the horizons of neuroscience through innovative research and global collaborations. His legacy is not only reflected in his published work but also in the students and researchers he has inspired. As he continues his journey at the University of Tsukuba, his focus remains on advancing scientific knowledge and contributing to the global understanding of the human brain.

💡 A Lifelong Dedication to Science

H. Yamada’s life is a testament to the power of curiosity and dedication. From his early academic days in Tohoku to his current role as an Associate Professor, he has consistently pursued excellence in neuroscience. His journey underscores the importance of interdisciplinary research, mentorship, and the relentless quest for knowledge, leaving a lasting mark on the scientific community.

Publication

  • Title: Tonically active neurons in the primate caudate nucleus and putamen differentially encode instructed motivational outcomes of action
    Authors: H. Yamada, N. Matsumoto, M. Kimura
    Year: 2004

 

  • Title: Roles of the lateral habenula and anterior cingulate cortex in negative outcome monitoring and behavioral adjustment in nonhuman primates
    Authors: T. Kawai, H. Yamada, N. Sato, M. Takada, M. Matsumoto
    Year: 2015

 

  • Title: Thirst-dependent risk preferences in monkeys identify a primitive form of wealth
    Authors: H. Yamada, A. Tymula, K. Louie, P.W. Glimcher
    Year: 2013

 

  • Title: Juxtacellular labeling of tonically active neurons and phasically active neurons in the rat striatum
    Authors: H. Inokawa, H. Yamada, N. Matsumoto, M. Muranishi, M. Kimura
    Year: 2010

 

  • Title: Free choice shapes normalized value signals in medial orbitofrontal cortex
    Authors: H. Yamada, K. Louie, A. Tymula, P.W. Glimcher
    Year: 2018

 

  • Title: Tonically active neurons in the striatum encode motivational contexts of action
    Authors: M. Kimura, H. Yamada, N. Matsumoto
    Year: 2003

 

  • Title: Tonic firing mode of midbrain dopamine neurons continuously tracks reward values changing moment-by-moment
    Authors: Y. Wang, O. Toyoshima, J. Kunimatsu, H. Yamada, M. Matsumoto
    Year: 2021

 

  • Title: Roles of centromedian parafascicular nuclei of thalamus and cholinergic interneurons in the dorsal striatum in associative learning of environmental events
    Authors: K. Yamanaka, Y. Hori, T. Minamimoto, H. Yamada, N. Matsumoto, et al.
    Year: 2018

 

  • Title: Inactivation of the putamen selectively impairs reward history-based action selection
    Authors: M. Muranishi, H. Inokawa, H. Yamada, Y. Ueda, N. Matsumoto, M. Nakagawa, et al.
    Year: 2011

 

  • Title: Goal-directed, serial and synchronous activation of neurons in the primate striatum
    Authors: M. Kimura, N. Matsumoto, K. Okahashi, Y. Ueda, T. Satoh, T. Minamimoto, et al.
    Year: 2003

 

Conclusion

H. Yamada’s career is a reflection of his dedication to advancing the understanding of the human brain. His academic achievements, leadership roles, and research contributions have left a lasting impact on the neuroscience community. As he continues his work at the University of Tsukuba, his legacy is defined not only by his scientific discoveries but also by his mentorship and influence on future generations of researchers. His journey stands as an inspiring example of the pursuit of knowledge and the transformative power of science.

Samira Jafari | Brain Mapping | Best Researcher Award

Published on by Neuroscientists

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.