Yuanyuan QIN | Medical Image Analysis | Best Researcher Award

Dr . Yuanyuan QIN | Medical Image Analysis | Best Researcher Award

Associate Chief Physician, Associate Professor at  Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology , China

Dr. Yuanyuan Qin is a distinguished Associate Chief Physician and Associate Professor in the Department of Radiology at Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology. With a strong foundation in clinical radiology and advanced neuroimaging, she has dedicated her career to investigating brain disorders such as Alzheimer’s disease, Parkinson’s disease, and post-COVID neurological changes. Her research integrates multimodal imaging techniques with cognitive neuroscience and machine learning, emphasizing non-invasive diagnostic innovations. A recipient of national research funding and provincial awards, Dr. Qin has published extensively in leading international journals, with several high-impact and highly cited articles. She has also demonstrated leadership in academic teaching through the adoption of blended learning methodologies. Her interdisciplinary expertise, clinical insights, and research productivity make her a recognized contributor to the fields of radiology and neuroscience, with ongoing work focused on understanding neural mechanisms underlying cognitive decline and aging-related diseases.

Professional Profile 

Education🎓

Dr. Yuanyuan Qin pursued her advanced medical education at Huazhong University of Science and Technology, completing a prestigious Combined Master-PhD program between 2008 and 2013. Her doctoral training emphasized advanced neuroimaging techniques, with research exploring structural and functional brain alterations in neurodegenerative conditions. During her PhD, she was selected for a one-year joint PhD training program at the esteemed Johns Hopkins University in the United States (2011–2012), where she gained international exposure to state-of-the-art imaging methodologies and collaborative research environments. Her interdisciplinary education integrated clinical radiology, neuroscience, and data-driven analysis, laying a strong foundation for her later research on cognitive disorders and aging. This cross-institutional and cross-national academic background not only enriched her scientific expertise but also cultivated her capacity to approach radiological challenges from both a clinical and research perspective. Her academic training continues to inform her innovative work in diagnostic imaging and cognitive neurodegeneration.

Professional Experience📝

Dr. Yuanyuan Qin has built a progressive and impactful professional career in radiology at Tongji Hospital. Starting in 2013 as a Resident Physician, she rapidly advanced through roles as an Attending Physician (2014–2019), Associate Chief Physician (2019–2020), and ultimately to Associate Professor (2020–present). Throughout her career, she has been deeply engaged in clinical diagnostics, medical imaging interpretation, and mentoring medical students and interns. Her dual roles in academic and clinical settings have allowed her to integrate patient-centered care with research-led innovation. Dr. Qin’s experience spans routine radiological evaluations to complex imaging studies in patients with neurological and neurodegenerative conditions. She has actively contributed to improving radiology internship training programs through digital platforms and 3D simulation tools. Her leadership within the department is recognized not only in her clinical acumen but also in fostering collaborative research projects and guiding junior physicians and researchers in translational imaging studies.

Research Interest🔎

Dr. Yuanyuan Qin’s research interests lie at the intersection of neuroimaging, cognitive neuroscience, and clinical radiology. Her primary focus is on understanding the neural mechanisms of neurodegenerative diseases, particularly Alzheimer’s and Parkinson’s, through advanced magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), and functional connectivity analysis. She is also deeply interested in the application of repetitive transcranial magnetic stimulation (rTMS) combined with cognitive training as a therapeutic and diagnostic tool. Recently, her research has extended into the neurological impacts of COVID-19, exploring long-term cerebral microstructure changes in asymptomatic patients. Her work frequently integrates artificial intelligence, deep learning, and image quantification methods to improve diagnostic precision. Dr. Qin is committed to developing non-invasive imaging biomarkers that can track disease progression and predict cognitive decline. Her interdisciplinary approach bridges clinical needs with technological advancement, contributing valuable insights into early detection and intervention strategies for aging-related cognitive disorders.

Award and Honor🏆

Dr. Yuanyuan Qin has been widely recognized for her academic excellence and scientific contributions. Notably, she received the First Prize in the 2019 Hubei Provincial Science and Technology Progress Award for her innovative work on the integration of structural and functional MRI in brain development and aging-related diseases. In teaching, she earned the Second Prize in the 2020 Young Teacher Teaching Competition at Huazhong University of Science and Technology, highlighting her commitment to educational innovation. As a principal investigator, she has secured multiple competitive grants, including a General Program and a Youth Project from the National Natural Science Foundation of China (NSFC). Her work has garnered national attention and peer acknowledgment, with multiple publications cited widely in top-tier journals. Her research article in the Journal of Clinical Investigation is listed as a Highly Cited Article, further validating her impact in the fields of radiology and neuroscience.

Research Skill🔬

Dr. Yuanyuan Qin possesses a robust portfolio of research skills, especially in neuroimaging analysis, multimodal MRI, and diffusion tensor imaging (DTI). She has extensive expertise in image processing platforms such as 3D-Slicer, FSL, and SPM, along with experience in deep learning algorithms for radiological quantification. Her technical strengths extend to designing and conducting longitudinal studies, particularly in evaluating cognitive interventions like rTMS paired with cognitive training in Alzheimer’s patients. She demonstrates proficiency in integrating clinical data with imaging outcomes to derive meaningful correlations for disease diagnosis and prognosis. Additionally, she has contributed to the development of automated MRI quantification pipelines, including those for Parkinsonism index assessment. Her interdisciplinary methods often incorporate statistical modeling, functional connectivity analysis, and AI-based imaging biomarker discovery. These research capabilities position her as a key contributor in translating complex neuroimaging insights into real-world clinical applications.

Conclusion💡

Dr. Yuanyuan Qin is highly suitable for the Best Researcher Award based on her exceptional track record in neuroimaging research, consistent national-level funding, scientific leadership in Alzheimer’s and Parkinson’s research, and significant contributions to radiological education and practice. Her trajectory exemplifies a balance between academic rigor, innovation, and clinical relevance.

Publications Top Noted✍

  1. Title: Surface-Based Vertexwise Analysis of Morphometry and Microstructural Integrity for White Matter Tracts in Diffusion Tensor Imaging: With Application to the Corpus Callosum in Alzheimer’s Disease
    Authors: Tang, Xiaoying; Qin, Yuanyuan; Zhu, Wenzhen; Miller, Michael I.
    Year: 2017
    Citation: Human Brain Mapping, DOI: 10.1002/hbm.23491

  2. Title: Atlas-based deep gray matter and white matter analysis in Alzheimer’s disease: diffusion abnormality and correlation with cognitive function
    Authors: Qin Yuanyuan; Zhang Shun; Guo Linying; Zhang Min; Zhu Wenzhen
    Year: 2016
    Citation: Chinese Journal of Radiology, WOSUID: CSCD:5699935

  3. Title: Shape and diffusion tensor imaging based integrative analysis of the hippocampus and the amygdala in Alzheimer’s disease
    Authors: Tang, Xiaoying; Qin, Yuanyuan; Wu, Jiong; Zhang, Min; Zhu, Wenzhen; Miller, Michael I.
    Year: 2016
    Citation: Magnetic Resonance Imaging, DOI: 10.1016/j.mri.2016.05.001

  4. Title: Simulating the Evolution of Functional Brain Networks in Alzheimer’s Disease: Exploring Disease Dynamics from the Perspective of Global Activity
    Authors: Li, Wei; Wang, Miao; Zhu, Wenzhen; Qin, Yuanyuan; Huang, Yue; Chen, Xi
    Year: 2016
    Citation: Scientific Reports, DOI: 10.1038/srep34156

  5. Title: Frequency-specific Alterations of Large-scale Functional Brain Networks in Patients with Alzheimer’s Disease
    Authors: Qin, Yuan-Yuan; Li, Ya-Peng; Zhang, Shun; Xiong, Ying; Guo, Lin-Ying; Yang, Shi-Qi; Yao, Yi-Hao; Li, Wei; Zhu, Wen-Zhen
    Year: 2015
    Citation: Chinese Medical Journal, DOI: 10.4103/0366-6999.151654

  6. Title: Frequency-specific Alterations of Large-scale Functional Brain Networks in Patients with Alzheimer’s Disease (Correction)
    Authors: Qin, Y. Y.; Li, Y. P.; Zhang, S.; Xiong, Y.; Guo, L. Y.; Yang, S. Q.
    Year: 2015
    Citation: Chinese Medical Journal, DOI: 10.4103/0366-6999.156150

  7. Title: An Efficient Approach for Differentiating Alzheimer’s Disease from Normal Elderly Based on Multicenter MRI Using Gray-Level Invariant Features
    Authors: Li, Muwei; Oishi, Kenichi; He, Xiaohai; Qin, Yuanyuan; Gao, Fei; Mori, Susumu
    Year: 2014
    Citation: PLOS ONE, DOI: 10.1371/journal.pone.0105563

  8. Title: Discriminative Analysis of Multivariate Features from Structural MRI and Diffusion Tensor Images
    Authors: Li, Muwei; Qin, Yuanyuan; Gao, Fei; Zhu, Wenzhen; He, Xiaohai
    Year: 2014
    Citation: Magnetic Resonance Imaging, DOI: 10.1016/j.mri.2014.05.008

  9. Title: Exploring the Functional Brain Network of Alzheimer’s Disease: Based on the Computational Experiment
    Authors: Li, YaPeng; Qin, Yuanyuan; Chen, Xi; Li, Wei
    Year: 2013
    Citation: PLOS ONE, DOI: 10.1371/journal.pone.0073186

  10. Title: Gross Feature Recognition of Anatomical Images Based on Atlas Grid (GAIA)
    Authors: Qin, Yuan-Yuan; Hsu, Johnny T.; Yoshida, Shoko; Faria, Andreia V.; Oishi, Kumiko; et al.
    Year: 2013
    Citation: NeuroImage: Clinical, DOI: 10.1016/j.nicl.2013.08.006

  11. Title: In vivo Quantitative Whole-brain Diffusion Tensor Imaging Analysis of APP/PS1 Transgenic Mice
    Authors: Qin, Yuan-Yuan; Li, Mu-Wei; Zhang, Shun; Zhang, Yan; Zhao, Ling-Yun; et al.
    Year: 2013
    Citation: Neuroradiology, DOI: 10.1007/s00234-013-1195-0

  12. Title: The Functional Brain Network Changes of Alzheimer’s Disease
    Authors: Li YaPeng; Qin YuanYuan; Li Wei
    Year: 2013
    Citation: Chinese Journal of Medical Physics, WOSUID: CSCD:5004621

  13. Title: Voxel-Based Diffusion Tensor Imaging of an APP/PS1 Mouse Model of Alzheimer’s Disease
    Authors: Shu, Xiaogang; Qin, Yuan-Yuan; Zhang, Shun; Jiang, Jing-Jing; Zhang, Yan; et al.
    Year: 2013
    Citation: Molecular Neurobiology, DOI: 10.1007/s12035-013-8418-6

  14. Title: Stromal Cell-Derived Factor 1 Alpha Decreases Beta-Amyloid Deposition in Alzheimer’s Disease Mouse Model
    Authors: Wang, Qi; Xu, Yi; Chen, Jin-Cao; Qin, Yuan-Yuan; Liu, Mao; et al.
    Year: 2012
    Citation: Brain Research, DOI: 10.1016/j.brainres.2012.04.011

 

Bharati Chaudhari | Edge Detection | Best Researcher Award

Ms . Bharati Chaudhari | Edge Detection | Best Researcher Award

Assitstant Professor at Maharashtra Institute of Technology, Chh. Sambhajinagar, India

Ms. Bharati Prakash Chaudhari is an experienced academician and researcher with over 18 years of teaching experience in computer science and engineering. Currently serving as an Assistant Professor at MIT, Aurangabad, she has consistently demonstrated a strong commitment to research and education. Her expertise spans image processing, machine learning, and digital system development, with active contributions to both academic research and industry-oriented projects. She has authored multiple research papers in international journals and conferences, including Scopus-indexed publications and IEEE proceedings. Additionally, her involvement in intellectual property development through several copyrights underscores her original contributions to technical education. Ms. Chaudhari continues to pursue her Ph.D. in Computer Science and Engineering at Dr. Babasaheb Ambedkar Marathwada University, reflecting her dedication to academic growth. Her work bridges theoretical knowledge with practical application, particularly through collaborations with industry for digital tool development. She is a proactive, skilled, and forward-looking researcher shaping the field of computer engineering.

Professional Profile 

Education🎓

Ms. Bharati Prakash Chaudhari holds a Master of Engineering degree in Computer Science and Engineering from Government College of Engineering, Aurangabad, affiliated with Dr. Babasaheb Ambedkar Marathwada University (Dr. B.A.M.U.), where she graduated in 2010 with distinction, scoring 81.25%. She earned her Bachelor of Engineering in Computer Engineering from K.K. Wagh College of Engineering, Nashik under Pune University in 2003, securing first-class marks with 62.2%. Currently, she is pursuing her Ph.D. in Computer Science and Engineering from Dr. B.A.M.U., Aurangabad. Her academic background showcases a steady progression through well-regarded institutions and reflects a continuous pursuit of advanced knowledge in her domain. Her postgraduate studies have equipped her with a solid foundation in algorithm development, computational models, and system-level design. The ongoing doctoral research further strengthens her analytical and research capabilities, positioning her to contribute meaningfully to emerging trends in machine learning and image processing.

Professional Experience📝

Ms. Bharati Prakash Chaudhari has over 18 years of professional academic experience in engineering education. She began her teaching career in February 2003 at MIT IT College, Cidco, Aurangabad, serving as a Lecturer for over three years. Since July 2006, she has been affiliated with MIT, Aurangabad, initially as a Lecturer and later redesignated as an Assistant Professor. Throughout her tenure, she has taught various core subjects in computer science and engineering and actively engaged in curriculum development and mentoring students. Her long-standing commitment to teaching is complemented by her involvement in research, project guidance, and departmental responsibilities. She has also contributed to industry-academic collaboration through participation in projects like digital tool development for transformer design, under GIZ–MASSIA initiatives. Ms. Chaudhari’s experience demonstrates not only her academic dedication but also her ability to integrate applied engineering practices into her educational approach, enhancing student learning and research culture.

Research Interest🔎

Ms. Bharati Prakash Chaudhari’s research interests center around Image Processing, Machine Learning, and Optimization Algorithms, with a keen focus on applying intelligent computing methods to solve practical problems in healthcare and security. Her recent work on edge detection using Ant Colony Optimization for medical images illustrates her interest in bio-medical image analysis. She also explores areas such as reversible data hiding, digital watermarking, and encrypted image processing—topics that are critical to data security and digital forensics. Her Ph.D. research and publications reflect an effort to integrate biologically inspired algorithms into traditional image processing techniques. Moreover, she has shown a consistent interest in enhancing data representation, pattern recognition, and system intelligence. Through hybrid algorithm development and advanced segmentation techniques, Ms. Chaudhari aims to push the boundaries of image understanding and machine learning applications, particularly in domains where accurate visual interpretation is crucial, such as diagnostics, surveillance, and automation.

Award and Honor🏆

Ms. Bharati Prakash Chaudhari has been recognized for her scholarly contributions through multiple Intellectual Property Rights (IPRs) registrations, including copyrights on algorithmic learning materials and applied computer science concepts such as Dijkstra’s Algorithm, Histogram Equalization, and Finite Automata Design. These IPRs reflect her dedication to developing high-quality, original educational content and research outputs. While formal academic awards are not explicitly listed, her achievements in publishing papers in Scopus-indexed journals and prestigious conferences like IEEE and Elsevier Procedia signify academic excellence. Her active involvement in applied research projects, such as the Digital Tool Development for Transformer Design under a government-industry partnership (GIZ-MASSIA), further underscores her practical impact. Through these achievements, she has earned peer recognition within academic and industrial circles. Her participation in international events and successful collaborations with senior researchers demonstrate her growing reputation as a capable and emerging researcher in the field of computer engineering.

Research Skill🔬

Ms. Bharati Prakash Chaudhari possesses strong research skills across multiple domains of computer science, particularly in image analysis, optimization algorithms, and machine learning models. She is proficient in applying Ant Colony Optimization, ICA (Independent Component Analysis), and encryption-based data hiding techniques for real-world problems. Her skill set includes the ability to design experimental methodologies, simulate and validate results, and interpret complex datasets for image processing tasks. She is adept at using MATLAB and other relevant software tools for developing and testing algorithms. Additionally, she is capable of translating conceptual ideas into practical implementations, as evident in her industry collaboration for transformer design automation. Her copyright registrations for algorithmic content reflect her strength in educational research and tool development. With a foundation in both academic writing and hands-on experimentation, Ms. Chaudhari’s research competencies bridge theoretical understanding and applied problem-solving—making her a valuable contributor to innovation-driven computing research.

Conclusion💡

Ms. Bharati Prakash Chaudhari is a strong candidate for the Best Researcher Award, especially given her longevity in academia, publication record, IPRs, and participation in reputed conferences. However, to be a top-tier awardee, finalizing her Ph.D. and enhancing her presence in globally ranked journals, along with measurable citation metrics, would make her profile even more competitive.

Publications Top Noted✍

  • Title: Hepatoprotective activity of Hydroalcoholic extract of Momordica charantia Linn. leaves against Carbon tetrachloride induced Hepatopathy in Rats
    Authors: KRB, Chaudhari BP, VJ Chaware, YR Joshi
    Year: 2009
    Citations: 45

  • Title: Protective effect of the aqueous extract of Momordica charantia leaves on gentamicin induced nephrotoxicity in rats
    Authors: KRB, VJ Chaware, BP Chaudhary, MK Vaishnav
    Year: 2011
    Citations: 20

  • Title: Protective effect of the aqueous extract of Phaseolus radiatus seeds on gentamicin induced nephrotoxicity in rats
    Authors: VJ Chaware
    Year: 2012
    Citations: 16

  • Title: Quality by design (QbD) concept review in pharmaceuticals
    Authors: K Jagtap, B Chaudhari, V Redasani
    Year: 2022
    Citations: 11

  • Title: Development and validation of spectrophotometric method for simultaneous estimation of meclizine hydrochloride and pyridoxine hydrochloride in tablet dosage form
    Authors: SA Shinde, ZM Sayyed, BP Chaudhari, VJ Chaware, KR Biyani
    Year: 2016
    Citations: 10

  • Title: Development and validation of UV-spectrophotometric method for simultaneous estimation of amlodipine besylate and hydrochlorothiazide in combined dosage form
    Authors: Z Sayyed, S Shinde, V Chaware, B Chaudhari, K Biyani
    Year: 2015
    Citations: 9

  • Title: A cross-sectional prescription audit database for anti-anginal drugs with impact of essential drug list and standard treatment guidelines on prescription pattern in Nasik city
    Authors: V Chaudhari, B Chaudhari, A Khairnar
    Year: 2011
    Citations: 7

  • Title: Approaches of digital image watermarking using ICA
    Authors: BP Chaudhari, AK Gulve
    Year: 2010
    Citations: 7

  • Title: A Review on in situ Gel of Gastro Retentive Drug Delivery System
    Authors: BV Aiwale, BP Chaudhari, AB Velhal, VK Redasani
    Year: 2022
    Citations: 6

  • Title: Image segmentation using hybrid ant colony optimization: A review
    Authors: B Chaudhari, P Shetiye, A Gulve
    Year: 2021
    Citations: 6

  • Title: A Review on Diverging approaches to Fabricate Polymeric Nanoparticles
    Authors: S Deshmukh, B Chaudhari, A Velhal, V Redasani
    Year: 2022
    Citations: 5

  • Title: A Validated RP-HPLC Method for Simultaneous Estimation of Tizanidine and Nimesulide in Bulk and Pharmaceutical Formulation
    Authors: KD Bharatee Chaudhari
    Year: 2020
    Citations: 5

  • Title: Pharmacosome as a Vesicular Drug Delivery System
    Authors: RR Shinde, BP Chaudhari, AB Velhal, VK Redasani
    Year: 2022
    Citations: 4

  • Title: Influence of Newly Synthesized Superdisintegrant on Dissolution Rate Enhancement of Carbamazepine using Liquisolid Compact Technique
    Authors: GV Raut, PB Chaudhari, KV Redasani
    Year: 2022
    Citations: 4

  • Title: Development and validation of UV-spectrophotometric method for simultaneous estimation of spironolactone and hydrochlorothiazide in pharmaceutical formulation
    Authors: Z Sayyed, S Shinde, V Chaware, B Chaudhari, M Zuber, M Sayyed
    Year: 2015
    Citations: 4

  • Title: A compendious review on biodegradable polymeric nanoparticles
    Authors: S Deshmukh, B Chaudhari, A Velhal, V Redasani
    Year: 2022
    Citations: 3

  • Title: Cleaning Validation in Pharmaceutical Industry
    Authors: P Khalate, B Chaudhari, V Redasani
    Year: 2022
    Citations: 2

  • Title: A Novel Tool for Controlled Delivery: Transdermal Drug Delivery System
    Authors: AV Panval, BP Chaudhari, AB Velhal, VK Redasani
    Year: 2022
    Citations: 2

  • Title: A Review on Pharmaceutical Regulatory Authority of India, USA, UK, Australia
    Authors: AA Shinde, AS Gurav, BP Chaudhari, VK Redasani
    Year: 2024
    Citations: 1

  • Title: Review on Colon Targeted Drug Delivery System
    Authors: NB Waghmode, SV Dhanje, BP Chaudhari, VK Redasani
    Year: 2024
    Citations: 1