VIKRAM SINGH KARDAM | Neuroinformatics | Best Researcher Award

Published on 07/05/2025 by Neuroscientists

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.

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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.

Janine Hicks | Emerging Areas in Neuroscience |

Published on 06/05/2025 by Neuroscientists

Dr. Janine Hicks | Emerging Areas in Neuroscience | Best Researcher Award

Dr. Janine Hicks, University of KwaZulu-Natal, South Africa.

Janine Louise Hicks is a distinguished South African academic and human rights advocate with over 30 years of experience in law, gender justice, and community development. Her academic journey includes degrees from the University of Cape Town, UNISA, Sussex University, and the University of KwaZulu-Natal, culminating in a Ph.D. focused on participatory development and social change. Currently a Senior Lecturer in Law at UKZN, she has played pivotal roles in both academia and civil society, offering expert legal and policy insights on gender equality, legislative reform, and international development frameworks. Janine has represented South Africa in global gender forums and contributed extensively to the analysis of state compliance with international gender conventions. Her leadership on non-profit boards and her participation in key policy spaces highlight her enduring commitment to transforming legal and social systems for marginalized communities.

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🎓 Early Academic Pursuits

Janine Louise Hicks embarked on her academic journey with a strong foundation in the humanities, earning a Bachelor of Arts degree from the University of Cape Town between 1987 and 1989. Driven by a passion for justice and human rights, she pursued a Bachelor of Laws (LLB) from UNISA, completing it in 1994. Her interest in development, social justice, and participatory governance led her to the University of Natal, where she further enriched her legal education from 1995 to 1996. Committed to understanding grassroots development, Janine advanced her studies internationally, obtaining an MA in Participation, Development and Social Change from the Institute of Development Studies at Sussex University in the UK in 2005. Her academic journey culminated in a Ph.D. from the University of KwaZulu-Natal (2019–2021), reflecting her commitment to scholarly inquiry in gender and development.

👩‍🏫 Professional Endeavors

Janine Hicks’s professional path spans more than three decades in the fields of social justice, community development, and human rights. Currently serving as a Senior Lecturer in the School of Law at the University of KwaZulu-Natal, she has spent the last eight years mentoring future leaders in law and justice. Her work has been rooted in providing legal insights and academic leadership while bridging theory and practice. Janine’s career also encompasses substantial experience with non-profit and civil society organizations, where she has held leadership roles on several boards, ensuring that gender and participatory approaches remain central to institutional mandates and development strategies.

📚 Contributions and Research Focus

Janine’s research has focused intensively on the intersections of gender, law, and development, particularly in assessing and enhancing state mechanisms for gender equality. Her work delves into policy and legislative analysis, gender mainstreaming in public planning, and aligning national frameworks with international gender justice protocols. She has contributed significantly to the evaluation of state compliance with global and regional gender conventions, provided critical reports to Parliament, and engaged in global forums such as the United Nations Commission on the Status of Women. Through her research and advocacy, she has offered comprehensive recommendations to bridge gender gaps in policy and practice, shaping institutional transformation in South Africa and beyond.

🏅 Accolades and Recognition

While Janine does not list formal professional memberships, her influence is evident in the high-level positions she has held within civil society. She has served as Chairperson of the Board of Trustees at The Valley Trust, Chairperson of the Board of Directors at the Community Law and Rural Development Centre, and Chairperson of Agenda Feminist Media—testaments to the trust placed in her leadership and strategic vision. Her commitment to justice and equality has made her a respected voice in policy circles and advocacy spaces, especially in the fields of gender rights and participatory development.

🌍 Impact and Influence

Janine’s work has created a lasting impact on the formulation and reform of gender-sensitive legislation, as well as on the capacity of institutions to respond to the needs of marginalized communities. Her gender analysis has shaped development programs, contributed to institutional frameworks, and ensured that women’s voices are amplified in governance processes. Her advisory role at the Denis Hurley Centre reflects her continued influence on public interest law and social equity programming. She has also played a vital role in international dialogue, influencing negotiation and resolution processes at global platforms.

🔍 Legacy and Future Contributions

As an educator, Janine is cultivating a new generation of legal scholars and social justice advocates. Her legacy lies not only in the research she has produced and the reforms she has helped shape, but also in her role as a mentor and thought leader in feminist legal education. Looking ahead, Janine is poised to continue her impactful research and policy engagement, furthering academic discourse around gender justice and participatory governance in both South African and international contexts.

💡 Vision for Inclusive Development

At the heart of Janine Hicks’s work is a vision for an inclusive and equitable society, driven by participation, transparency, and gender justice. Her multidisciplinary expertise—spanning law, development, and social change—positions her as a champion for rights-based development. Whether through academic research, civil society leadership, or international advocacy, Janine continues to be a vital force in ensuring that the principles of justice and equality are upheld in law and lived in practice.

Publication

Title: Community development and engagement with local governance in South Africa
Authors: I Buccus, D Hemson, J Hicks, L Piper
Year: 2008

Title: Public participation and local governance
Authors: I Buccus, D Hemson, J Hicks, L Piper
Year: 2007

Title: Crafting new democratic spaces: participatory policy-making in KwaZulu-Natal, South Africa
Authors: J Hicks, I Buccus
Year: 2008

Title: Strengthening women’s participation in local governance: Lessons and strategies
Author: J Hicks
Year: 2011

Title: Assessing the effectiveness of community based involvement
Author: J Hicks
Year: 2006

Title: Democratisation with inclusion: revisiting the role of ward committees
Authors: I Buccus, J Hicks
Year: 2008

Title: South Africa: Expanding into
Authors: D Budlender, J Hicks, L Vetten
Year: 2002

Title: Bringing women into local governance: a review of enabling mechanisms in South Africa
Author: J Hicks
Year: 2011

Title: Civil society and participatory policy making in South Africa: Gaps and opportunities
Authors: I Buccus, J Hicks
Year: 2011

Title: ‘The wages are low but they are better than nothing’: The Dilemma of Decent Work and Job Creation in South Africa
Authors: M Williams, E Webster, K von Holdt, N Southern, R Southall, K Skinner, …
Year: 2011

✅ Conclusion

Janine Hicks’s career reflects a powerful blend of scholarship, advocacy, and leadership. Her deep-rooted expertise in gender and development, combined with her legal acumen, has positioned her as a vital contributor to South Africa’s democratic and feminist legal discourse. Through education, research, and civic engagement, she continues to shape more inclusive policies and empower future changemakers. Her legacy is one of courage, compassion, and commitment to social justice—an inspiring model for interdisciplinary and impactful work in human rights and development.

Jiwei Nie | Emerging Areas in Neuroscience | Best Researcher Award

Published on 30/04/2025 by Neuroscientists

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.

Jun Liu | Neuroimaging | Best Researcher Award

Published on 26/04/2025 by Neuroscientists

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.

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Profile

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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.

Zhong Suyu | Neuroimaging | Best Researcher Award

Published on 26/03/2025 by Neuroscientists

Assoc. Prof. Dr. Zhong Suyu | Neuroimaging | Best Researcher Award

Assoc. Prof. Dr. Zhong Suyu, Beijing University of Posts and Telecommunications, China.

Zhong Suyu is a distinguished scholar at the intersection of artificial intelligence and cognitive neuroscience. With an academic foundation in biomedical engineering and a Ph.D. in Cognitive Neuroscience from Beijing Normal University, they have dedicated their career to exploring AI-driven brain research. Their postdoctoral work and current role as an Associate Professor at the Beijing University of Posts and Telecommunications have positioned them as a leading expert in brain-computer interfaces, neural signal processing, and machine learning applications in cognitive studies. Through groundbreaking research, impactful publications, and mentorship, they continue to shape the future of AI-integrated neuroscience.

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Early Academic Pursuits 🎓

Zhong Suyu’s academic journey began with a deep-rooted passion for the intersection of medicine, engineering, and neuroscience. They earned a Bachelor’s degree in Biomedical Engineering from Capital Medical University in 2006, laying the groundwork for their future research. Eager to expand their expertise, they pursued a Master’s degree at Beijing University of Aeronautics and Astronautics, delving further into biomedical engineering and honing their skills in medical technology. The pinnacle of their academic training came with a Ph.D. in Cognitive Neuroscience from Beijing Normal University in 2016, where they explored the intricate relationship between human cognition and artificial intelligence.

Professional Endeavors 🏛️

Following the completion of their doctorate, Zhong Suyu embarked on an enriching postdoctoral journey at Beijing Normal University from 2016 to 2020. This period was instrumental in refining their research focus and contributing to groundbreaking studies. Their commitment to academic excellence led them to Beijing University of Posts and Telecommunications, where they assumed the role of Associate Professor in the School of Artificial Intelligence in 2023. In this capacity, they have been at the forefront of AI-driven neuroscience, guiding students and conducting pioneering research in the field.

Contributions and Research Focus 🔬

At the heart of Zhong Suyu’s work lies an innovative approach to integrating artificial intelligence with cognitive neuroscience. Their research explores brain-computer interfaces, neural signal processing, and machine learning applications in cognitive studies. By bridging AI with human cognition, they aim to unlock new possibilities in medical diagnostics, brain function analysis, and human-machine interaction. Their interdisciplinary contributions have positioned them as a thought leader in the evolution of AI-driven neurological studies.

Accolades and Recognition 🏆

Zhong Suyu’s dedication to research and education has earned them notable recognition in the scientific community. Their work has been published in prestigious journals, and they have been invited to speak at international conferences on artificial intelligence and neuroscience. Whether through peer-reviewed studies or academic symposiums, their influence continues to grow, marking them as a distinguished scholar in their domain.

Impact and Influence 🌍

Beyond academic circles, Zhong Suyu’s research has profound real-world applications. Their insights into AI-powered cognitive analysis have the potential to revolutionize mental health assessments, neurological disorder treatments, and adaptive learning systems. As an educator, they inspire a new generation of researchers, fostering curiosity and innovation among students eager to explore the vast possibilities of AI and neuroscience.

Legacy and Future Contributions 🚀

With an unwavering commitment to advancing artificial intelligence and cognitive science, Zhong Suyu’s legacy is one of transformation and discovery. As they continue to push the boundaries of human-machine integration, their future research is poised to shape the next era of intelligent systems. Through continued collaborations, technological advancements, and mentorship, they remain a driving force in redefining the synergy between artificial intelligence and the human brain.

Publication

PANDA: a pipeline toolbox for analyzing brain diffusion images
Z Cui, S Zhong, P Xu, Y He, G Gong – 2013

Developmental changes in topological asymmetry between hemispheric brain white matter networks from adolescence to young adulthood
S Zhong, Y He, H Shu, G Gong – 2017

The abnormality of topological asymmetry between hemispheric brain white matter networks in Alzheimer’s disease and mild cognitive impairment
C Yang, S Zhong, X Zhou, L Wei, L Wang, S Nie – 2017

A significant risk factor for poststroke depression: the depression-related subnetwork
S Yang, P Hua, X Shang, Z Cui, S Zhong, G Gong, GW Humphreys – 2015

Convergence and divergence across construction methods for human brain white matter networks: an assessment based on individual differences
S Zhong, Y He, G Gong – 2015

The white matter structural network underlying human tool use and tool understanding
Y Bi, Z Han, S Zhong, Y Ma, G Gong, R Huang, L Song, Y Fang, Y He – 2015

Deficiency of brain structural sub‐network underlying post‐ischaemic stroke apathy
S Yang, P Hua, X Shang, Z Cui, S Zhong, G Gong, G William Humphreys – 2015

The semantic anatomical network: Evidence from healthy and brain‐damaged patient populations
Y Fang, Z Han, S Zhong, G Gong, L Song, F Liu, R Huang, X Du, R Sun – 2015

Conclusion 🌟

Zhong Suyu’s journey is a testament to the power of interdisciplinary research in advancing both artificial intelligence and human cognition. Their work not only contributes to academic knowledge but also has the potential to revolutionize medical diagnostics, mental health assessments, and human-machine interactions. As they continue to push the frontiers of AI and neuroscience, their legacy will inspire future researchers and redefine the possibilities of intelligent systems in cognitive sciences.

Kiran Solingapuram Sai | Neuroimaging | Best Researcher Award

Published on 22/02/2025 by Neuroscientists

Dr. Kiran Solingapuram Sai | Neuroimaging | Best Researcher Award

Dr. Kiran Solingapuram Sai, Wake Forest School of Medicine, United States.

Dr. Kiran K. Solingapuram Sai, PhD, is an Associate Professor with tenure in the Department of Radiology at Wake Forest School of Medicine. He holds a Ph.D. in Organic Chemistry from Northern Illinois University and has extensive research experience in radiopharmaceutical chemistry. His postdoctoral training at Washington University’s Mallinckrodt Institute of Radiology focused on radiotracer development.

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✨ Early Academic Pursuits

Dr. Kiran K. Solingapuram Sai embarked on his academic journey with a strong foundation in chemistry, earning a Bachelor of Science degree in Chemistry, Biochemistry, and Microbiology from Osmania University, Hyderabad, India, in 2001. His passion for organic chemistry led him to pursue a Master of Science in the same field at Osmania University, where he honed his expertise in chemical synthesis and molecular interactions. Determined to explore the depths of organic chemistry, he pursued his Ph.D. at Northern Illinois University, DeKalb, IL, under the mentorship of Dr. Douglas A. Klumpp. During this period, his research focused on synthetic methodologies and organic reaction mechanisms, paving the way for his future contributions to medicinal and radiopharmaceutical chemistry.

🌐 Professional Endeavors

Dr. Sai’s professional journey commenced with a prestigious postdoctoral research associate position at the Mallinckrodt Institute of Radiology at Washington University in St. Louis, MO, where he worked under the guidance of Dr. Robert H. Mach. During his tenure from 2010 to 2013, he delved into the complexities of radiochemistry, developing novel radiotracers and exploring their applications in medical imaging. This experience laid the groundwork for his career in radiopharmaceutical sciences. In 2014, he joined Wake Forest School of Medicine as a Research Instructor and Chief Radiochemist, marking the beginning of his significant contributions to translational imaging and radiopharmaceutical production.

⚛️ Contributions and Research Focus

At Wake Forest School of Medicine, Dr. Sai played a pivotal role in the Department of Radiology and the Clinical Translational Science Institute (CTSI). He specialized in managing clinical and research-based radiopharmaceutical production at the Wake Forest PET Research Center. As a cyclotron manager and coordinator, he oversaw the synthesis and quality control of radiotracers essential for PET imaging. His expertise extended to the development and implementation of cGMP-approved protocols for C-11 and F-18 radiopharmaceutical production, ensuring the highest standards of safety and efficacy. His research focuses on advancing PET imaging techniques, exploring new radiotracers for diagnostic and therapeutic applications, and improving imaging biomarker development.

🏆 Accolades and Recognition

Dr. Sai’s dedication to radiochemistry and molecular imaging has earned him recognition in the scientific community. His work has been instrumental in developing radiopharmaceuticals for neurological and oncological imaging, contributing significantly to early disease detection and targeted therapy. His contributions have been acknowledged through numerous research grants, collaborative projects, and publications in high-impact scientific journals. His commitment to excellence and innovation has positioned him as a leading figure in the field of radiopharmaceutical sciences.

🔬 Impact and Influence

Beyond his research and technical expertise, Dr. Sai has mentored budding scientists and researchers in the field of radiochemistry and imaging sciences. His guidance has helped shape the next generation of radiopharmaceutical experts, fostering a culture of innovation and scientific curiosity. His role in translational imaging programs has bridged the gap between basic research and clinical applications, directly impacting patient care by improving diagnostic imaging techniques.

💡 Legacy and Future Contributions

Dr. Sai’s work continues to inspire advancements in molecular imaging and radiopharmaceutical development. As an Associate Professor with tenure at Wake Forest School of Medicine, he remains dedicated to pushing the boundaries of radiochemistry, developing cutting-edge imaging agents, and enhancing the precision of diagnostic medicine. His legacy in the field is defined by his unwavering commitment to scientific discovery, translational research, and the continuous pursuit of excellence in radiopharmaceutical sciences.Dr. Kiran K. Solingapuram Sai’s contributions to the field of radiopharmaceutical chemistry stand as a testament to his dedication, innovation, and impact on medical imaging and healthcare. His journey from a passionate chemistry student to a distinguished professor and researcher highlights the transformative power of science in shaping the future of medicine.

Publication

Radiation-induced brain injury in non-human primates: A dual tracer PET study with [11C]MPC-6827 and [11C]PiB
- Authors: Naresh Damuka, George W. Schaaf, Mack Miller, Caleb Bradley, Bhuvanachandra Bhoopal, Ivan Krizan, Krishna K. Gollapelli, Christopher T. Whitlow, J. Mark Cline, Kiran K. Solingapuram Sai
- Year: 2025

The β-Secretase 1 Enzyme as a Novel Therapeutic Target for Prostate Cancer
- Authors: Hilal A. Rather, Sameh Almousa, Ashish Kumar, Mitu Sharma, Isabel Pennington, Susy Kim, Yixin Su, Yangen He, Abdollah R. Ghara, Kiran Kumar Solingapuram Sai et al.
- Year: 2023

Development and Optimization of 11C-Labeled Radiotracers: A Review of the Modern Quality Control Design Process
- Authors: Paul Josef Myburgh, Kiran Kumar Solingapuram Sai
- Year: 2023

Binding Parameters of [11C]MPC-6827, a Microtubule-Imaging PET Radiopharmaceutical in Rodents
- Authors: Avinash H. Bansode, Bhuvanachandra Bhoopal, Krishna Kumar Gollapelli, Naresh Damuka, Ivan Krizan, Mack Miller, Suzanne Craft, Akiva Mintz, Kiran Kumar Solingapuram Sai
- Year: 2023

PET Imaging of [11C]MPC-6827, a Microtubule-Based Radiotracer in Non-Human Primate Brains
- Authors: Naresh Damuka, Paul W. Czoty, Ashley T. Davis, Michael Nader, Susan H. Nader, Suzanne Craft, Shannon L. Macauley, Lindsey K. Galbo Thomma, Phillip M. Epperly, Christopher T. Whitlow et al.
- Year: 2020

One-pot synthesis of novel tert-butyl-4-substituted phenyl-1H-1,2,3-triazolo piperazine/piperidine carboxylates, potential GPR119 agonists
- Authors: Nagaraju Bashetti, J.V. Shanmukha Kumar, Naresh Varma Seelam, B. Prasanna, Akiva Mintz, Naresh Damuka, Sriram Devanathan, Kiran Kumar Solingapuram Sai
- Year: 2019

Conclusion

Dr. Kiran K. Solingapuram Sai has established himself as a leading expert in radiopharmaceutical sciences, contributing significantly to translational imaging research. His work in PET radiopharmaceutical production and quality assurance underscores his role in advancing medical imaging techniques. His academic and research contributions make him a valuable asset in the field of radiology and molecular imaging.

Rasoul Sabetahd | Systems Neuroscience | Best Researcher Award

Published on 28/12/2024 by Neuroscientists

Dr. Rasoul Sabetahd | Systems Neuroscience | Best Researcher Award

Dr. Rasoul Sabetahd, Islamic Azad University, Iran.

Dr. Rasoul Sabetahd, a distinguished civil engineer and academic, has dedicated his career to advancing the field of civil engineering through teaching, research, and practical contributions. As a faculty member at the Department of Civil Engineering, Sofian Branch, Islamic Azad University, Iran, he has played a transformative role in fostering innovation, mentoring future engineers, and addressing the pressing challenges of modern infrastructure. His work, rooted in sustainability and resilience, has left a profound impact on academia and the engineering industry alike.

profile

Orcid

🌱 Early Academic Pursuits

Dr. Rasoul Sabetahd embarked on his academic journey with an enduring passion for civil engineering. He pursued his foundational studies in this field, demonstrating exceptional aptitude and dedication. His formative years were marked by a deep curiosity about structural systems and an eagerness to contribute to the advancement of infrastructure development. These early academic experiences laid the groundwork for his future scholarly achievements.

🏗️ Professional Endeavors

As a prominent member of the Department of Civil Engineering at the Sofian Branch of Islamic Azad University, Iran, Dr. Sabetahd has played a pivotal role in shaping the academic and professional landscape of civil engineering. His career is characterized by a commitment to teaching, mentoring, and equipping students with the practical and theoretical knowledge necessary for addressing modern engineering challenges. He has also collaborated with industry professionals to bridge the gap between academia and practical applications.

📚 Contributions and Research Focus

Dr. Sabetahd’s research has focused on groundbreaking advancements in civil engineering, including sustainable construction techniques, innovative materials, and structural resilience. Through meticulous studies and publications, he has enriched the academic discourse in civil engineering, providing valuable insights that have been widely acknowledged by peers. His work is deeply rooted in addressing contemporary engineering challenges, contributing significantly to the betterment of urban development and infrastructure planning.

🏆 Accolades and Recognition

Dr. Sabetahd’s dedication and expertise have earned him numerous accolades in the field of civil engineering. His research contributions and commitment to education have been recognized at national and international levels, bringing prestige to his institution and inspiring his colleagues and students. These honors reflect his influence as a leader in his domain.

🌍 Impact and Influence

The impact of Dr. Sabetahd’s work extends far beyond academia. His innovations and methodologies have been adopted in various real-world projects, demonstrating their practical value. As a mentor and educator, he has shaped the careers of countless students who now contribute to the field globally. His ability to blend research with practical applications has solidified his reputation as a transformative figure in civil engineering.

🔗 Legacy and Future Contributions

Dr. Sabetahd’s legacy is defined by his unwavering dedication to advancing civil engineering. Looking ahead, he aims to continue contributing to the field through innovative research, fostering new talent, and promoting sustainable engineering practices. His vision for the future involves not only addressing current challenges but also anticipating the needs of future generations.This biography celebrates the remarkable journey of Dr. Rasoul Sabetahd, highlighting his contributions and the lasting impact he has made in civil engineering.

📚 Publications

Development of an Adaptive Chaotic Fuzzy Neural Network Controller for Mitigating Seismic Response in a Structure Equipped with an Active Tuned Mass Damper
- Authors: Rasoul Sabetahd, Ommegolsoum Jafarzadeh
- Year: 2025

A Multiple Model Type-3 Fuzzy Control for Offshore Wind Turbines Using the Active Rotary Inertia Driver (ARID)
- Authors: Chunwei Zhang, Meihua Liu, Zhihu Liu, Rasoul Sabetahd, Hamid Taghavifar, Ardashir Mohammadzadeh
- Year: 2024

Design of a Novel Intelligent Adaptive Fractional-Order Proportional-Integral-Derivative Controller for Mitigation of Seismic Vibrations of a Building Equipped with an Active Tuned Mass Damper
- Authors: Ommegolsoum Jafarzadeh, Rasoul Sabetahd, Seyyed Arash Mousavi Ghasemi, Seyed Mehdi Zahrai
- Year: 2024

Design of an Online Adaptive Fractional-Order Proportional-Integral-Derivative Controller to Reduce the Seismic Response of the 20-Story Benchmark Building Equipped with an Active Control System
- Authors: Ommegolsoum Jafarzadeh, Seyyed Arash Mousavi Ghasemi, Seyed Mehdi Zahrai, Rasoul Sabetahd, Ardashir Mohammadzadeh, Ramin Vafaei Poursorkhabi, Vasudevan Rajamohan
- Year: 2024

Response Attenuation of a Structure Equipped with ATMD under Seismic Excitations Using Methods of Online Simple Adaptive Controller and Online Adaptive Type-2 Neural-Fuzzy Controller
- Authors: Rasoul Sabetahd, Seyed Arash Mousavi Ghasemi, Ramin Vafaei Poursorkhabi, Ardashir Mohammadzadeh, Yousef Zandi
- Year: 2022

Evaluation of Pall Friction Damper Performance in Near-Fault Earthquakes by Using Nonlinear Time History Analysis
- Authors: Jafarzadeh, K., Lotfollahi-Yaghin, M.A., Sabetahd, R.
- Year: 2012

Conclusion

Dr. Sabetahd’s journey exemplifies the fusion of academic excellence, professional dedication, and impactful research. Through his efforts, he has not only contributed to the growth of civil engineering but also inspired a new generation of engineers to pursue excellence. His legacy, defined by a commitment to progress and innovation, ensures his enduring influence in the field. As he continues his work, Dr. Sabetahd remains a beacon of inspiration, shaping the future of civil engineering.