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

 

šŸŽ“ Early Academic Pursuits

Vikram Singh Kardamā€™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.

šŸ§‘ā€šŸ« 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.

šŸ”¬ Contributions and Research Focus

Currently pursuing his Ph.D. in Signal Processing at Delhi Technological University, Vikram Singh Kardamā€™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 systemā€™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.

šŸ… Accolades and Recognition

A noteworthy milestone in Vikramā€™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.

šŸ“š Impact and Influence

In his role as an Assistant Professor, Vikram Singh Kardam has significantly influenced his studentsā€™ 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.

šŸŒ 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.

šŸ§  Vision and Intellect

At the core of Vikram Singh Kardamā€™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 ā€“ 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

 

 

āœ… 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, Vikramā€™s legacy is one of innovation, dedication, and impactful mentorship in the evolving landscape of technology and education.

Baoshun Shi | Metal artifact reduction| Best Researcher Award

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Assoc.Prof.Dr. Baoshun Shi | Metal artifact reduction| Best Researcher Award

Assoc. Prof. Dr.Ā  Baoshun Shi,Ā  Yanshan University,Ā  China.

Baoshun Shi is an esteemed researcher and academic in medical imaging, specializing in CT/MRI reconstruction, deep dictionary learning, and computational imaging. His academic journey from Yanshan University to his current role as an Associate Professor has been marked by groundbreaking research and mentorship. His work has significantly contributed to medical diagnostics, receiving recognition through prestigious grants and impactful publications. His innovations continue to shape the future of medical imaging technologies.

Profile

Google Scholar

 

Early Academic Pursuits āœØ

Baoshun Shi embarked on his academic journey with a deep fascination for electronic science and technology. His rigorous training at Yanshan University laid a strong foundation for his expertise in imaging sciences. Under the mentorship of Prof. Qiusheng Lian, he pursued both his Masterā€™s and Ph.D. degrees from 2012 to 2017, immersing himself in advanced research on electronic imaging and computational techniques. His early studies revolved around the intricacies of image reconstruction and enhancement, which would later define his contributions to medical imaging and deep learning methodologies.

Professional Endeavors šŸŽ“

After completing his doctorate, Baoshun Shi transitioned into academia as a Lecturer at the School of Information Science and Engineering at Yanshan University in 2017. His passion for research and education quickly propelled him to the position of Associate Professor in 2021. In this role, he has been instrumental in shaping the next generation of scholars while spearheading groundbreaking studies in medical imaging. His dedication to academic excellence is evident in his mentorship and continuous efforts to push the boundaries of imaging technology.

Contributions and Research Focus šŸŒ

Baoshun Shiā€™s research is centered on revolutionizing medical imaging through advanced computational models. His work spans multiple domains, including CT/MRI reconstruction, medical image analysis, deep dictionary learning, and compressed imaging. He has extensively explored imaging inverse problems, leveraging deep learning and model-driven approaches to enhance diagnostic accuracy and efficiency. His innovative methodologies in sparse-view CT reconstruction and metal artifact reduction have significantly contributed to the evolution of medical imaging solutions, making them more precise and accessible.

Accolades and Recognition šŸ†

Recognized for his pioneering work, Baoshun Shi has secured prestigious research grants and accolades. As the Principal Investigator, he has led multiple national and provincial research projects, including grants from the National Natural Science Foundation of China and the Hebei Natural Science Foundation. His projects, focused on deep dictionary learning and unsupervised imaging techniques, have earned him a distinguished reputation in the field of medical imaging. His contributions are acknowledged not only through research funding but also through the impact his findings have had on computational imaging advancements.

Impact and Influence šŸ”„

Baoshun Shiā€™s research has had far-reaching implications, transforming the landscape of medical imaging and computational diagnostics. His deep-learning-driven approaches have set new benchmarks in image reconstruction, enabling more accurate and efficient analysis of CT and MRI scans. His work has been instrumental in reducing imaging artifacts, improving resolution, and optimizing sparse-view imaging, thereby enhancing diagnostic capabilities. His influence extends beyond research papers, as his findings are being implemented in real-world medical applications, benefiting both practitioners and patients alike.

Legacy and Future Contributions šŸŒŸ

As a thought leader in medical imaging and computational science, Baoshun Shi continues to shape the future of imaging technologies. His ongoing research in deep dictionary networks and unsupervised learning models aims to push the boundaries of what is possible in diagnostic imaging. With an unwavering commitment to scientific advancement, he strives to develop cutting-edge solutions that will further enhance medical diagnostics, making them more efficient and accessible. His legacy is one of innovation, mentorship, and transformative contributions to the field of imaging science, paving the way for future breakthroughs.

 

Publication

  • Research advances on dictionary learning models, algorithms and applications ā€“ QS Lian, BS Shi, SZ Chen (2015)

 

  • Constrained phase retrieval: when alternating projection meets regularization ā€“ B Shi, Q Lian, X Huang, N An (2018)

 

  • Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method ā€“ B Shi, Q Lian, H Chang (2020)

 

  • Multiā€scale crossā€path concatenation residual network for Poisson denoising ā€“ Y Su, Q Lian, X Zhang, B Shi, X Fan (2019)

 

  • Compressed sensing MRI based on the hybrid regularization by denoising and the epigraph projection ā€“ L Qiusheng, F Xiaoyu, S Baoshun, Z Xiaohua (2020)

 

  • Compressed sensing MRI with phase noise disturbance based on adaptive tight frame and total variation ā€“ F Xiaoyu, L Qiusheng, S Baoshun (2017)

 

  • Provable general bounded denoisers for snapshot compressive imaging with convergence guarantee ā€“ B Shi, Y Wang, D Li (2023)

 

  • FASPR: A fast sparse phase retrieval algorithm via the epigraph concept ā€“ B Shi, S Chen, Y Tian, X Fan, Q Lian (2018)

 

  • PPR: Plug-and-play regularization model for solving nonlinear imaging inverse problems ā€“ B Shi, Q Lian, X Fan (2019)

 

  • Transfer orthogonal sparsifying transform learning for phase retrieval ā€“ Q Lian, B Shi, S Chen (2017)

 

Conclusion šŸ“

Baoshun Shiā€™s contributions to medical imaging and computational diagnostics have been transformative. His expertise in deep learning, imaging inverse problems, and artifact reduction has paved the way for more accurate and efficient diagnostic methods. As he continues to push the boundaries of scientific discovery, his legacy remains one of innovation and impact, ensuring that medical imaging evolves to better serve the healthcare industry and patients worldwide.

Zewen Cheng | Clinical Medicine | Young Scientist Award

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Dr. Zewen Cheng | Clinical Medicine | Young Scientist Award

Dr. Zewen Cheng, Suzhou Hospital of Integrated Traditional Chinese and Western Medicine,Ā  China.

Zewen Chengā€™s career is a testament to his dedication to thoracic surgery, combining expertise in both Western and Traditional Chinese medicine. His academic excellence, professional experience, and research contributions highlight his unwavering commitment to advancing patient care. As a skilled surgeon and educator, he continues to make a significant impact in the medical community. Moving forward, his focus on innovation and mentorship will ensure that his contributions leave a lasting mark on the field of thoracic surgery, inspiring future generations of medical professionals.

Profile

Scopus

 

šŸŽ“ Early Academic Pursuits

Zewen Cheng embarked on his medical journey with a passion for thoracic surgery, earning a Master of Medicine in Thoracic Surgery from Soochow University in Suzhou, China. Graduating in 2019, he dedicated himself to mastering the complexities of thoracic diseases, developing a strong foundation in both clinical and surgical practices. His academic years were marked by rigorous training and an unwavering commitment to patient care, setting the stage for his future contributions to the medical field.

šŸ„ Professional Endeavors

After completing his degree, Zewen Cheng undertook a comprehensive three-year residency at The First Affiliated Hospital of Soochow University. From July 2019 to June 2022, he refined his expertise in thoracic surgery, gaining invaluable hands-on experience in clinical diagnostics, patient management, and surgical procedures. His tenure in the residency program enabled him to work closely with senior specialists, tackling complex cases and honing his skills. In September 2022, he advanced to the role of Attending Physician at Suzhou Hospital of Integrated Traditional Chinese and Western Medicine, where he seamlessly integrates Western and Traditional Chinese medical treatments to provide holistic patient care.

šŸ”¬ Contributions and Research Focus

Zewen Cheng is deeply invested in the evolving landscape of thoracic surgery. His research interests span innovative surgical techniques, minimally invasive procedures, and the integration of Traditional Chinese Medicine (TCM) in thoracic disease management. With proficiency in data analysis software such as R and SPSS, he actively contributes to medical research, utilizing statistical methodologies to enhance clinical decision-making. His work emphasizes the importance of interdisciplinary approaches in improving patient outcomes and advancing the field of thoracic surgery.

šŸ† Accolades and Recognition

Throughout his medical career, Zewen Cheng has been recognized for his dedication and expertise in thoracic surgery. Successfully completing the standardized residency training at The First Affiliated Hospital of Soochow University, he demonstrated exceptional skill and commitment to surgical excellence. His fluency in Medical English (CET-6) has enabled him to collaborate effectively with international medical professionals, further expanding his impact within the global medical community.

šŸ’Ŗ Impact and Influence

As an Attending Physician, Zewen Cheng plays a crucial role in supervising and training junior doctors, fostering the next generation of thoracic surgeons. His ability to blend traditional and modern medical practices ensures that patients receive comprehensive treatment tailored to their specific needs. His contributions extend beyond direct patient care, as he actively participates in multidisciplinary teams, shaping the future of thoracic surgery through collaborative innovation and knowledge sharing.

šŸŒŸ Legacy and Future Contributions

With a strong foundation in both clinical practice and research, Zewen Cheng aspires to push the boundaries of thoracic surgery through continuous learning and innovation. His commitment to integrating Traditional Chinese Medicine with contemporary surgical techniques presents new avenues for patient care and treatment efficacy. Looking ahead, he envisions contributing to groundbreaking research, refining surgical methodologies, and mentoring future medical professionals, leaving a lasting legacy in the field of thoracic surgery.

 

Publication

Title: Exploring the Causal Relationship Between Frailty and Chronic Obstructive Pulmonary Disease: Insights From Bidirectional Mendelian Randomization and Mediation Analysis
Authors: Zewen Cheng, Jian Wu, Chun Xu, Xiaokun Yan
Year: 2025

 

šŸ† Conclusion

Zewen Cheng is a strong candidate for the Young Scientist Award, given his clinical expertise, innovative approach to medicine, and commitment to training future surgeons. Strengthening his research impact and expanding international collaborations would further solidify his position as a leading young scientist in thoracic surgery.

 

 

Kiran Solingapuram Sai | Neuroimaging | Best Researcher Award

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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 Universityā€™s Mallinckrodt Institute of Radiology focused on radiotracer development.

Profile

Orcid

 

āœØ 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.

šŸŒ Professional Endeavors

Dr. Saiā€™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.

āš›ļø 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.

šŸ† Accolades and Recognition

Dr. Saiā€™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.

šŸ”¬ 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.

šŸ’” Legacy and Future Contributions

Dr. Saiā€™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 Saiā€™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

  1. 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

 

  1. The Ī²-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

 

  1. 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

 

  1. 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

 

  1. 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

 

  1. 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.