Xuming Zhang | Biomedical Engineering | Best Researcher Award

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Dr. Xuming Zhang | Biomedical Engineering | Best Researcher Award

Dr at Huazhong University of Science and Technology, China.

Xuming Zhang is an Associate Professor in the Department of Biomedical Engineering at Huazhong University of Science and Technology. Born on November 21, 1976, he specializes in medical image processing, AI for medical diagnosis, surgical guidance, and surgical robots. He earned his Ph.D. in Biomedical Engineering from Shanghai Jiaotong University and completed postdoctoral research at UC Davis and Huazhong University. Dr. Zhang has led significant research projects, including early prostate cancer diagnosis and real-time 3D ultrasound-MR image registration. His work has earned him multiple awards, including the Hubei Science and Technology Progress Award.

 

Profile

 

Scopus

 

šŸŽ“ EducationĀ 

Ph.D. in Biomedical Engineering, Shanghai Jiaotong University (2001.3-2005.11) Tutor: Academician Binshi Xu. Master’s in Biomedical Engineering, Wuhan University of Technology (1998.9-2001.2). Bachelor’s in Biomedical Engineering, Wuhan University of Technology (1994.9-1998.6)

šŸ§‘ā€šŸ« Professional Experience

2008.1-2009.1: Post-doctoral Fellow, Department of Mechanical and Aeronautical Engineering, University of California at Davis. 2006.1-2008.1: Post-doctoral Fellow, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology
Tutor: Academician Youlun Xiong

šŸ“Š Research Projects šŸ“Š

Research on Early Prostate Cancer Diagnosis Technology National Key Research and Development Program, 2020.10-2023.09, Ā„8.82 million. Real-time Accurate Registration of 3D Ultrasound and MR Images for Prostate Targeted Biopsy Based on Deep Learning Sponsored by National Natural Science Foundation of China, 2019.01-2022.12, Ā„0.57 million. Research and Development of Surgery Planning and Navigation System Based on CT-3D Ultrasound Fusion National Key Research and Development Program, 2017.12-2020.11, Ā„1.53 million. Nondestructive Testing of Quality Status of Retired Products Based on the Combination of Electromagnetic Ultrasound and Eddy Current 863 Project, 2013.01-2015.12, Ā„0.4 million. Research on Non-local Elastic Registration of Prostate Ultrasound and PET Images for Prostate Biopsy Wuhan Science and Technology Bureau Project, 2015.03-2016.12, Ā„0.15 million. Multi-DOF Prostate Biopsy Robot Enterprise Project, 2016.03-2019.03, Ā„1.5 million. Research and Development of High-Frequency Composite Ultrasonic Scanning Probe Microscopy National Major Instrument Project, 2013.10-2017.09, Ā„4.4949 million. Research and Development of 3D Ultrasonic System for the Diagnosis and Treatment of Urinary Diseases National Science and Technology Support Program, 2012.01-2014.12, Ā„5.506 million Key Technologies of Real-Time Three-Dimensional Ultrasound Imaging International Science and Technology Cooperation Project, 2013.04-2016.03, Ā„4.75 million

šŸ† AwardsĀ 

Innovation and Application of Key Technologies in Diagnosis and Treatment of Renal Cancer First Prize, Hubei Science and Technology Progress Award (Rank: 4th). Innovation and Application of Key Technologies in Diagnosis and Treatment of Renal Cancer Third Prize, Chinese Medical Science and Technology Award (Rank: 4th)

Publication:šŸ“

1. A temporal enhanced semi-supervised training framework for needle segmentation in 3D ultrasound images

  • Authors: Wen, M.; Shcherbakov, P.; Xu, Y.; Yuan, L.; Zhang, X.
  • Journal: Physics in Medicine and Biology
  • Volume: 69
  • Issue: 11
  • Article: 115023
  • Access: Open Access
  • Citations: 0

 

 

2. CIRF: Coupled Image Reconstruction and Fusion Strategy for Deep Learning Based Multi-Modal Image Fusion

  • Authors: Zheng, J.; Xiao, J.; Wang, Y.; Zhang, X.
  • Journal: Sensors
  • Volume: 24
  • Issue: 11
  • Article: 3545
  • Access: Open Access
  • Citations: 0

 

 

3. Robust Semi-Supervised 3D Medical Image Segmentation With Diverse Joint-Task Learning and Decoupled Inter-Student Learning

  • Authors: Zhou, Q.; Yu, B.; Xiao, F.; Wang, Z.; Zhang, X.
  • Journal: IEEE Transactions on Medical Imaging
  • Volume: 43
  • Issue: 6
  • Pages: 2317-2331
  • Citations: 0

 

4. TransVFS: A spatio-temporal localā€“global transformer for vision-based force sensing during ultrasound-guided prostate biopsy

  • Authors: Wang, Y.; Ye, Z.; Wen, M.; Liang, H.; Zhang, X.
  • Journal: Medical Image Analysis
  • Volume: 94
  • Article: 103130
  • Citations: 1

 

5. SPCTNet: A Series-Parallel CNN and Transformer Network for 3D Medical Image Segmentation

  • Authors: Yu, B.; Zhou, Q.; Zhang, X.
  • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume: 14473
  • Pages: 376-387
  • Citations: 0

 

6. Short-term and long-term memory self-attention network for segmentation of tumours in 3D medical images

  • Authors: Wen, M.; Zhou, Q.; Tao, B.; Xu, Y.; Zhang, X.
  • Journal: CAAI Transactions on Intelligence Technology
  • Volume: 8
  • Issue: 4
  • Pages: 1524-1537
  • Access: Open Access
  • Citations: 7

 

7. Free form deformation and symmetry constraint-based multi-modal brain image registration using generative adversarial nets

  • Authors: Zhu, X.; Ding, M.; Zhang, X.
  • Journal: CAAI Transactions on Intelligence Technology
  • Volume: 8
  • Issue: 4
  • Pages: 1492-1506
  • Access: Open Access
  • Citations: 2

 

8. F-DARTS: Foveated Differentiable Architecture Search Based Multimodal Medical Image Fusion

  • Authors: Ye, S.; Wang, T.; Ding, M.; Zhang, X.
  • Journal: IEEE Transactions on Medical Imaging
  • Volume: 42
  • Issue: 11
  • Pages: 3348-3361
  • Citations: 3

 

 

9. Medical Image Classification Using Light-Weight CNN With Spiking Cortical Model Based Attention Module

  • Authors: Zhou, Q.; Huang, Z.; Ding, M.; Zhang, X.
  • Journal: IEEE Journal of Biomedical and Health Informatics
  • Volume: 27
  • Issue: 4
  • Pages: 1991-2002
  • Citations: 13

 

 

10. Self-supervised transformer based non-local means despeckling of optical coherence tomography images

  • Authors: Zhou, Q.; Wen, M.; Yu, B.; Ding, M.; Zhang, X.
  • Journal: Biomedical Signal Processing and Control
  • Volume: 80
  • Article: 104348
  • Access: Open Access
  • Citations: 8

 

 

 

Sheeba Malik | computational biology | Young Scientist Award

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Ā Dr. Sheeba Malik | computational biology | Young Scientist Award

Dr at University of Tennessee United States

I am a post-doctoral research associate at the University of Tennessee, Knoxville, jointly working at Oak Ridge National Laboratory. My expertise lies in modeling membranes in solution using GROMACS software. My research encompasses understanding dynamic and structural changes in membranes under various conditions, such as phase transitions, hydration changes, temperature variations, chain lengths, different salt concentrations, and solvents. I have experience in coding with MATLAB, Fortran, Mathematica, and shell scripting. I earned my Ph.D. from the Indian Institute of Technology, Jodhpur, where I developed in-house code for analysis. I have published 8 peer-reviewed articles, with 5 as the first author, focusing on phase transitions of bi-layers with biological and industrial significance.

profile:

Scholar

Orcid

šŸ”¬ Research Expertise

Computational chemistry for soft and bio-molecules, Phase transition of bi-layers, Structure and dynamics of super-cooled systems, Statistical physics, Biomass pre-treatment, Molecular dynamic simulation, Coding

šŸ’¼ Employment History

Postdoctoral Research Associate University of Tennessee/Oak Ridge National Laboratory, TN, USA May 2023 ā€“ Present Advisor: Prof. Jeremy C. Smith, Molecular Simulations of Bacterial Extracts under Co-solvent Stress, Probing anomalous diffusion in frequency space upon phase transition of bilayers, Dynamical Influences on THF (Co-solvent) Phase Separation in Biomass for Bioenergy Applications. Senior Research Fellow
IIT Jodhpur, INDIA July 2022 ā€“ March 2023, Investigated the thermodynamics of interfacial water using dual-scale simulation to correlate with bilayer phase transition. Junior Research Fellow NCERT, INDIA, July 2016 ā€“ November 2016. Research Trainee, IIT Delhi, INDIA
August 2015 ā€“ March 2016 Studied self-assembly of organic molecules using AMBER Determined curvature of minor and major grooves

šŸŽ“ Education

Ph.D. in Chemistry Indian Institute of Technology, Jodhpur, INDIA July 2017 ā€“ July 2022 Thesis: Dynamical Heterogeneity of Interface Water upon Membrane Phase Transitions. M.Sc. in Chemistry (H) Indian Institute of Technology, Delhi, INDIA July 2013 ā€“ July 2015. B.Sc. in Chemistry (H)
University of Delhi, INDIA July 2010 ā€“ June 2013

šŸ… Grants and Awards

Advanced computing and data resource (ACCESS) supported by NSF PI: Sheeba Malik, Co-PI: Jeremy Smith and Micholas Smith, 02/19/2024 ā€“ 09/30/2025, Project: Dynamical Influences on Co-solvent Phase Separation in Biomass for Bioenergy Applications, PI: Jonathan Nickels, University of Cincinnati, Co-PI: Sheeba Malik, Jeremy Smith, and Micholas Smith, 04/23/2024 ā€“ 09/30/2025, Project: Combinatorial effects of ABE fermentation products on lipid membrane structure and organization. Senior Research Fellowship by MHRD, July 2019 ā€“ July 2022. Junior Research Fellowship by MHRD July 2017 ā€“ June 2020. MCM Scholarship by IIT Delhi July 2013 ā€“ June 2015. Qualified Exams: GATE – CY: 2017, 2018 IIT JAM: 2013

šŸ“š Skills

Molecular Dynamic Simulation, GROMACS, Amber, CHARMM-GUI, VMD, MATLAB, Fortran, Shell script, Python, LaTeX/Overleaf, Grace, NWChem, Gaussian-09, Molden, ChemDraw, PyMOL, UCSF Chimera, Inkscape, GIMP

Publication:šŸ“

  • Title: Heterogeneity in structure and dynamics of water near bilayers using TIP3P and TIP4P/2005 water models
    • Authors: A Srivastava, S Malik, A Debnath
    • Journal: Chemical Physics
    • Year: 2019
    • Volume: 525
    • Pages: 110396
    • Citations: 20

 

  • Title: Dehydration induced dynamical heterogeneity and ordering mechanism of lipid bilayers
    • Authors: S Malik, A Debnath
    • Journal: The Journal of Chemical Physics
    • Year: 2021
    • Volume: 154 (17)
    • Pages: 174904
    • Citations: 15

 

  • Title: A comparative study on DMSO-induced modulation of the structural and dynamical properties of model bilayer membranes
    • Authors: S Kundu, S Malik, M Ghosh, S Nandi, A Pyne, A Debnath, N Sarkar
    • Journal: Langmuir
    • Year: 2021
    • Volume: 37 (6)
    • Pages: 2065-2078
    • Citations: 12

 

  • Title: Modulation of membrane fluidity to control interfacial water structure and dynamics in saturated and unsaturated phospholipid vesicles
    • Authors: D Mondal, S Malik, P Banerjee, N Kundu, A Debnath, N Sarkar
    • Journal: Langmuir
    • Year: 2020
    • Volume: 36 (41)
    • Pages: 12423-12434
    • Citations: 9

 

  • Title: Dynamic coupling of a hydration layer to a fluid phospholipid membrane: Intermittency and multiple time-scale relaxations
    • Authors: A Srivastava, S Malik, S Karmakar, A Debnath
    • Journal: Physical Chemistry Chemical Physics
    • Year: 2020
    • Volume: 22 (37)
    • Pages: 21158-21168
    • Citations: 8

 

  • Title: Relaxation time scales of interfacial water upon fluid to ripple to gel phase transitions of bilayers
    • Authors: S Malik, S Karmakar, A Debnath
    • Journal: The Journal of Chemical Physics
    • Year: 2023
    • Volume: 158 (11)
    • Pages: 114503
    • Citations: 4

 

  • Title: Structural changes of interfacial water upon fluid-ripple-gel phase transitions of bilayers
    • Authors: S Malik, A Debnath
    • Journal: Chemical Physics Letters
    • Year: 2022
    • Volume: 799
    • Pages: 139613
    • Citations: 4

 

  • Title: Quantifying dynamical heterogeneity length scales of interface water across model membrane phase transitions
    • Authors: S Malik, S Karmakar, A Debnath
    • Journal: The Journal of Chemical Physics
    • Year: 2023
    • Volume: 158 (9)
    • Pages: 091103
    • Citations: 3

 

sushma P | Biotechnology | Best Researcher Award

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Dr. sushma P | Biotechnology | Best Researcher Award

Dr at Techno College of Engineering Agartala India

Dr. Sushma P is an accomplished ICMR Senior Research Fellow at JSS Academy of Higher Education & Research, Mysuru, specializing in bioinformatics and drug discovery. With a strong foundation in statistical computing and bioinformatics tools like R, she excels in analyzing complex datasets. Her expertise extends to molecular modeling and dynamics simulations for structure-based drug design. Dr. Sushma P has received accolades including Best Paper and Poster Presentations at prestigious conferences. She holds research grants, including an ICMR-SRF, focusing on Alzheimer’s disease therapeutics. Her ability to communicate technical findings and her dedication to innovative research underscore her contributions to biomedical science.

profile:

 

Scholar

 

šŸŽ“ Education:

Ph.D. in Life Sciences (Synopsis Submitted) JSS Higher Education and Research, Mysuru, Karnataka, INDIA July 2019 – Present. M.Sc. in Bioinformatics JSS Higher Education and Research, Mysuru, Karnataka, INDIA July 2017 – May 2019 CGPA: 9.33 (Secured 2nd Rank). B.Sc. in Biotechnology JSS Academy of Higher Education and Research, Mysuru, Karnataka, INDIA July 2014 – May 2017 CGPA: 9.04 (Secured 2nd Rank)

šŸ”¬ Skills & Expertise:

Proficient in analyzing and interpreting complex data sets using bioinformatics tools. Statistical computing using Excel, SPSS, and R software; familiarity with basic statistical methodologies. Hands-on experience with molecular modeling, molecular dynamics simulations, and structure-based drug design. Freelance work in research, literature review, book chapters, and thesis writing. Basic programming skills in C, Python, and PERL. Strong interpersonal skills for effective communication with technical and non-technical audiences.

šŸ” Research Experience:

ICMR-Senior Research Fellowship Indian Council for Medical Research, Delhi, India November 2022 – Present. JSS University Research Fellowship JSS Academy of Higher Education and Research, Mysuru, Karnataka, INDIA February 2021 – January 2022. Karnataka Ph.D. Fellowship Backward Classes Welfare Department, Karnataka State Government July 2019 – January 2021

šŸ† Awards & Achievements:

Best Paper Presentation at Annual KVRSS Research Awards (September 2023)., Young Women Scientist at International Conference on MAESASS-2023 (June 2023)., Best Poster Presentation at International Conference on MAESASS-2023 (June 2023)., Best Poster Presentation at IEEE B-HTC 2023 (March 2023).

šŸŽ“ Research Grants Awarded:

ICMR-SRF (18.64 Lakhs) for 3 years (from November 2022) Project: Identification of Novel Therapeutic Lead Molecules through Green Chemistry Approach against AĪ² induced mice model of Alzheimerā€™s Disease. JSS AHER Grant (0.25 Lakhs) for 1 year (October 2020 – October 2021) Project: A prospective study of synergistic effect of combination therapy of FDA approved drugs and in silico characterization against Alzheimerā€™s disease.

Publication:šŸ“

    • Title: IoT for promoting agriculture 4.0: a review from the perspective of weather monitoring, yield prediction, security of WSN protocols, and hardware cost analysis
      Authors: P Majumdar, S Mitra, D Bhattacharya
      Journal: Journal of Biosystems Engineering
      Year: 2021
      Volume: 46
      Issue: 4
      Pages: 440-461
      Citations: 21
    • Title: Application of green IoT in agriculture 4.0 and beyond: Requirements, challenges and research trends in the era of 5G, LPWANs and Internet of UAV Things
      Authors: P Majumdar, D Bhattacharya, S Mitra, B Bhushan
      Journal: Wireless Personal Communications
      Year: 2023
      Volume: 131
      Issue: 3
      Pages: 1767-1816
      Citations: 13
    • Title: IoT and machine learningā€based approaches for real time environment parameters monitoring in agriculture: an empirical review
      Authors: P Majumdar, S Mitra
      Book: Agricultural Informatics: Automation Using the IoT and Machine Learning
      Year: 2021
      Pages: 89-115
      Citations: 9
    • Title: Detection of Inflammation from temperature profile using Arthritis knee joint Datasets
      Authors: P Majumdar, K Das, N Nath, MK Bhowmik
      Conference: 2018 IEEE International Conference on Healthcare Informatics (ICHI)
      Year: 2018
      Pages: 409-411
      Citations: 7
    • Title: Prediction of evapotranspiration and soil moisture in different rice growth stages through improved salp swarm based feature optimization and ensembled machine learning algorithm
      Authors: P Majumdar, D Bhattacharya, S Mitra
      Journal: Theoretical and Applied Climatology
      Year: 2023
      Volume: 153
      Issue: 1
      Pages: 649-673
      Citations: 4
    • Title: Demand prediction of rice growth stage-wise irrigation water requirement and fertilizer using Bayesian genetic algorithm and random forest for yield enhancement
      Authors: P Majumdar, D Bhattacharya, S Mitra, R Solgi, D Oliva, B Bhusan
      Journal: Paddy and Water Environment
      Year: 2023
      Volume: 21
      Issue: 2
      Pages: 275-293
      Citations: 4
    • Title: Honey badger algorithm using lens opposition based learning and local search algorithm
      Authors: P Majumdar, S Mitra, D Bhattacharya
      Journal: Evolving Systems
      Year: 2024
      Volume: 15
      Issue: 2
      Pages: 335-360
      Citations: 2
    • Title: Support Vector Machines for the Classification of Remote Sensing Images: A Review
      Authors: P Majumdar, S Dey, S Bardhan, S Mitra
      Book: Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0
      Year: 2022
      Citations: 2

Annesha Chakraborty| Bioinformatics | Women Researcher Award

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Ā Dr. Annesha Chakraborty | Bioinformatics | Women Researcher Award

Ā Dr. SASTRA DEEMED UNIVERSITY

šŸ‘©ā€šŸ”¬ A highly motivated Ph.D. candidate at SASTRA Deemed University, specializing in Bioinformatics and Biomolecular Crystallography, with hands-on experience in molecular docking, dynamics, and laboratory techniques. Possessing an M.Sc. in Microbiology and B.Sc. (Hons.) in Microbiology, Chemistry, and Botany, I excel in research and academic achievements. As a Research Intern at MEAB LAB and Lab Tech. Intern at Suraksha Diagnostic Pvt. Ltd., I contributed to multiple publications and gained expertise in DNA/RNA extraction and PCR. Currently engaged in molecular dynamics studies on COVID Mpro, biomass production, and A.baumanniiā€™s efflux pump research. Passionate about advancing scientific knowledge and addressing real-world challenges.šŸŒŸ

 

Profile

Orcid

Scholar

 

šŸŽ“ Education

Doctor of Philosophy (2023-Ongoing) SASTRA Deemed University, India Bioinformatics Center and Biomolecular Crystallography Lab, under the supervision of Dr. S. Thamotharan and co-supervision of Dr. Vigneshwer R. Currently pursuing research funded by DBT-govt. of India. M.Sc in Microbiology (2020-2022) Grade: A+ (80%) [Ranked 4th] B.Sc (Hons.) in Microbiology (2017-2020) Optional subjects: Chemistry and Botany Grade: B+ 12th (High School) (2015-2017) Science stream

šŸ”¬ Key Skills

  • Molecular Docking
  • Molecular Dynamics
  • Schrodinger
  • Pymol
  • MegaAUTODOCK
  • Agarose Gel Electrophoresis
  • ELISA
  • qPCR
  • RT-PCR
  • Flow Cytometry
  • Online tools for nucleic acid or protein sequence-based analysis (Expasy, Clustal Omega, NCBI)

šŸ’¼ Work Experience

Research Intern at MEAB LAB (08/2021-09/2022) JIS University (Hybrid mode) Responsibilities: Worked on current research projects with PhD scholars as a Project Associate Intern. Co-authored 3 review articles and 1 book chapter, and contributed to 3 research projects. Previously worked here for Master’s thesis paper. Lab Tech Intern at Suraksha Diagnostic Pvt. Ltd. (12.08.2022-24.08.2022) Responsibilities: Conducted DNA and RNA extraction for PCR to detect HLA, hepatitis B, hepatitis C, and Covid-19 virus. Performed RT-PCR and real-time PCR to detect RNA and DNA viruses.

Publications Top Notes šŸ“

  1. Title: Lignocellulolytic Microbial Systems and its Importance in Dye Decolourization: A Review

 

  1. Title: Microbial electrolysis cells for effective biohydrogen biogenesis from biowastes

 

  1. Title: Algae educed industrial enzymes production: a sustainable way forward?
    • Book: Industrial Microbiology
    • ISBN: 978-93-5461-997-7
    • Publisher: Astral International Pvt. Ltd. (Scopus)