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.

Yuchun Wang | Neurotechnology | Best Researcher Award

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Ms. Yuchun Wang | Neurotechnology | Best Researcher Award

Ms. Yuchun Wang, Fudan University, China.

Yu Chun Wang is an emerging scholar from the Department of Rehabilitation Medicine at Huashan Hospital, Fudan University, with a strong academic foundation and a clear research direction. Their work revolves around neurological rehabilitation and the rapidly evolving field of brain-computer interfaces (BCI). With a multidisciplinary approach, Yu Chun integrates neuroscience, rehabilitation techniques, and cutting-edge technology to address the needs of individuals recovering from neurological impairments. Though still early in their academic journey, Yu Chun is already contributing to high-quality research, fostering collaborations, and preparing to lead innovative projects that bridge clinical rehabilitation and intelligent systems.

Profile

Orcid

🎓 Early Academic Pursuits

Yu Chun Wang began their academic journey at the esteemed Fudan University, where they enrolled in the Department of Rehabilitation Medicine at Huashan Hospital. With a strong interest in human recovery and assistive technology, Yu Chun immersed themselves in foundational studies that emphasized neurophysiology, biomedical sciences, and rehabilitation techniques. From the outset, they demonstrated an analytical mind and a passion for exploring innovative solutions to neurological challenges, setting the stage for a research-focused career.

🧠 Professional Endeavors in Neurological Rehabilitation

Currently positioned as a student-researcher, Yu Chun Wang has dedicated their academic life to advancing the field of neurological rehabilitation. At Huashan Hospital, their role involves deep engagement with real-world clinical settings, working alongside experts in neurology and rehabilitation. Their work primarily focuses on enhancing patient recovery through the integration of modern therapeutic interventions and monitoring neuroplasticity in patients recovering from brain injuries.

🧬 Contributions and Research Focus

Yu Chun’s research journey centers around two compelling fields: neurological rehabilitation and brain-computer interface (BCI) systems. With a growing expertise in neuro-rehabilitation technologies, they aim to bridge the gap between cognitive recovery and artificial intelligence. Their innovative explorations delve into how BCI can transform therapeutic outcomes, empowering individuals with neuro-disorders through intelligent, responsive systems that adapt to brain activity and stimulate recovery.

📚 Academic Footprints and Publications

While Yu Chun is in the early stages of their scholarly journey, their commitment to publishing in high-impact journals indexed by SCI and Scopus is evident. Their academic work, though emerging, has begun making its mark in interdisciplinary forums focused on neural engineering and rehabilitation sciences. These publications are paving the way for greater academic discourse in merging digital systems with patient care strategies.

🤝 Collaborations and Industry Interaction

Yu Chun Wang actively seeks collaborative networks within the medical and engineering sectors. Their current projects involve interdisciplinary collaboration, including clinical therapists, software developers, and neuroscientists. Although industry consultancy and patents are still developing areas, Yu Chun’s research has laid the groundwork for future partnerships aimed at developing therapeutic technologies for real-time rehabilitation assessment.

🏅 Accolades and Recognition

As a young researcher, Yu Chun’s contributions have been recognized within their academic institution and by their peers in scientific circles. Participation in research competitions and early recognition for innovative proposals in brain-computer interface models speak volumes about their potential. The Department of Rehabilitation Medicine supports and acknowledges Yu Chun’s promising role in the field’s evolution.

🔭 Legacy and Future Contributions

With a vision to transform rehabilitation through intelligent systems, Yu Chun Wang aspires to lead groundbreaking research that improves the quality of life for patients with neurological impairments. They aim to contribute to the development of non-invasive BCI tools that integrate with clinical workflows, offering efficient and patient-centric recovery models. Their journey is just beginning, yet the foundation laid speaks of a future filled with impactful innovations and global collaborations.

Publication

  • Title: Advances in Brain Computer Interface for Amyotrophic Lateral Sclerosis Communication
    Author(s): Yuchun Wang
    Year: 2024 (assumed)

 

  • Title: Soft Magnetoelasticity for Mechanical Energy Harvesting
    Author(s): Yuchun Wang, Minyan Ge, Shumao Xu
    Year: 2024 (assumed)

 

  • Title: Water-responsive Contraction for Shape-adaptive Bioelectronics
    Author(s): Yuchun Wang, Minyan Ge, Shumao Xu
    Year: 2024 (assumed)

 

✅ Conclusion

Yu Chun Wang represents the next generation of medical researchers who combine scientific curiosity with technological vision. With a focus on patient-centered innovation and a drive to improve neurological rehabilitation outcomes through brain-computer interface research, their future in academic and applied science is bright. As they continue to grow in experience and scholarly achievement, Yu Chun is poised to make lasting contributions to the global healthcare and rehabilitation community.

 

 

İlyas UÇAR | Neuroimaging | Trailblazer in Neuroscience Award

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Assoc.Prof.Dr. Ilyas UÇAR | Neuroimaging | Trailblazer in Neuroscience Award

Assoc. Prof. Dr. Ilyas UÇAR,  Erciyes University, Turkey.

İlyas Uçar is a dedicated academic and researcher specializing in anatomical sciences, particularly in developmental anatomy and teratology. His academic journey began with a Bachelor’s degree in Physiotherapy and Rehabilitation, followed by a Master’s and Ph.D. in Anatomy (Medicine) from Erciyes University. His research has focused on the effects of pharmaceutical agents such as Interferon and Paracetamol on embryonic and fetal development, shedding light on critical concerns regarding drug safety during pregnancy. As an Associate Professor, he has contributed to academia through teaching, mentorship, and interdisciplinary research, earning recognition for his impactful work. His studies have influenced medical guidelines and inspired  further research into prenatal health.

Profile

Google Scholar

Orcid

📚 Early Academic Pursuits

İlyas Uçar embarked on his academic journey with a deep-rooted interest in health sciences, particularly in the intricate mechanisms of human anatomy. He earned his Bachelor’s degree in Physiotherapy and Rehabilitation from Abant İzzet Baysal University in 2007, where he developed a strong foundation in musculoskeletal function and rehabilitation techniques. His passion for understanding the human body at a deeper level led him to pursue postgraduate studies, marking the beginning of an extensive academic exploration.

His pursuit of higher education continued at Erciyes University, where he completed his Master’s degree in Anatomy (Medicine) in 2014. Under the guidance of Doç. Dr. Tolga Ertekin, he conducted groundbreaking research on the effects of Interferon beta-1a (IFNβ-1A) and Interferon beta-1b (IFNβ-1B) on in vitro embryonic development. This study not only refined his expertise in developmental anatomy but also set the stage for his future contributions to teratology and embryological research.

🏥 Professional Endeavors

With a strong academic foundation, İlyas Uçar transitioned into professional academia, where he merged his passion for teaching with his commitment to scientific discovery. His doctoral studies at Erciyes University’s Institute of Health Sciences were a significant milestone, culminating in his Ph.D. in Anatomy (Medicine) in 2018. His dissertation, supervised by Prof. Dr. Erdoğan Unur, explored the potential teratogenic effects of paracetamol on fetal bone development, shedding light on critical concerns regarding prenatal medication exposure.

Following his doctoral achievements, he took on an active role in academia, mentoring students and engaging in interdisciplinary research. His teaching methods, rooted in both theoretical knowledge and practical application, have made a lasting impact on students specializing in anatomy and health sciences.

🔬 Contributions and Research Focus

İlyas Uçar’s research focuses on developmental anatomy, particularly the impact of pharmaceutical agents on embryonic and fetal growth. His studies on interferons and paracetamol have contributed valuable insights into the possible risks associated with commonly used medications during pregnancy. Through meticulous experimental methodologies, he has explored the implications of these substances on skeletal formation, paving the way for further advancements in medical safety guidelines.

In addition to his work in teratology, he has delved into the broader aspects of anatomical sciences, bridging the gap between clinical applications and fundamental research. His interdisciplinary approach has fostered collaborations with medical professionals, physiologists, and pharmacologists, further enriching the field of health sciences.

🏅 Accolades and Recognition

Throughout his career, İlyas Uçar has earned recognition for his dedication to research and education. His scholarly contributions have been acknowledged in scientific circles, with his research findings being cited in academic discussions on embryology and anatomy. His work has not only contributed to medical literature but has also influenced guidelines on drug safety during pregnancy.

As an esteemed faculty member, he has played a pivotal role in shaping the academic curriculum, ensuring that students receive a well-rounded education in anatomical sciences. His ability to inspire and guide young researchers has cemented his reputation as a mentor and leader in his field.

🌍 Impact and Influence

The influence of İlyas Uçar extends beyond the lecture halls and research laboratories. His findings have raised awareness about the importance of cautious pharmaceutical use during pregnancy, prompting further investigations into the long-term effects of medications on fetal development. His work continues to serve as a reference point for medical researchers, policymakers, and healthcare professionals seeking to enhance patient safety.His collaborations with medical institutions and research centers have facilitated knowledge exchange, ensuring that his discoveries have practical implications in clinical and pharmacological settings. By addressing critical questions in developmental anatomy, he has contributed to the broader understanding of how external factors influence human growth and development.

Publication

  • Effect of respiratory muscle training on pulmonary function and aerobic endurance in soccer players
    T. Ozmen, G.Y. Gunes, I. Ucar, H. Dogan, T.U. Gafuroglu – 2017

 

  • The effect of kinesio taping versus stretching techniques on muscle soreness, and flexibility during recovery from Nordic hamstring exercise
    T. Ozmen, G.Y. Gunes, H. Dogan, I. Ucar, M. Willems – 2017

 

  • The relationship between muscle size, obesity, body fat ratio, pain, and disability in individuals with and without nonspecific low back pain
    I. Ucar, C. Kararti, I. Cüce, E. Veziroğlu, A. Özüdoğru, F.A. Koçak, Y. Dadalı – 2021

 

  • Is scoliosis related to mastication muscle asymmetry and temporomandibular disorders? A cross-sectional study
    I. Ucar, S. Batin, M. Arik, A. Payas, E. Kurtoğlu, C. Kararti, T. Seber, et al. – 2022

 

  • Is the integration problem in the sensorimotor system the cause of adolescent idiopathic scoliosis?
    A. Payas, S. Batin, E. Kurtoğlu, M. Arik, T. Seber, I. Ucar, E. Unur – 2023

 

  • Analysis of changes in brain morphological structure of Taekwondo athletes by diffusion tensor imaging
    E. Kurtoğlu, A. Payas, S. Düz, M. Arik, I. Ucar, T.T. Tokmak, M.F. Erbay, N. Acer, et al. – 2023

 

  • The role of pineal gland volume in the development of scoliosis
    S. Batin, Y. Ekinci, K. Gürbüz, A. Payas, E. Kurtoğlu, I. Ucar, T. Seber, M. Arik, et al. – 2023

 

  • Masseter muscle thickness and elasticity in bruxism after exercise treatment: A comparison trial
    I. Ucar, C. Kararti, Y. Dadali, A. Özüdoğru, M. Okçu – 2022

 

  • The potential teratogenic effects of interferon beta-1a and interferon beta-1b on in vitro embryonic development
    I. Ucar, T. Ertekin, M. Nisari, D. Ceylan, Ö. Al, H. Ülger – 2016

 

  • Morphometric evaluation of acetabulum
    G.B. Uzun, M. Değermenci, I. Ucar, A. Arslan, M. Nisari – 2020

🔍 Conclusion

İlyas Uçar’s contributions to anatomical sciences extend beyond theoretical research, making a tangible impact on medical education and drug safety. His investigations into embryonic development have deepened the understanding of teratogenic risks, guiding both researchers and healthcare professionals. With a commitment to advancing knowledge through interdisciplinary collaboration, he continues to shape the future of anatomical and medical research. His legacy lies not only in his scientific discoveries but also in his role as an educator and mentor, ensuring that future generations carry forward his passion for medical science.