Sandip Kaledhonka | Biomedical and Healthcare Applications | Research Excellence Award

Assoc. Prof. Dr. Sandip Kaledhonka | Biomedical and Healthcare Applications | Research Excellence Award

Associate professor | Indian Institute of Technology Bombay | India 

Dr. Sandip Kaledhonka is an accomplished structural biologist whose research focuses on time-resolved cryogenic electron microscopy (cryo-EM), ribosome dynamics, and molecular mechanisms underlying protein synthesis. With 38 published research documents 775 citations, an h-index of 10, and an i10-index of 10, he has established a strong global research presence through high-impact publications and sustained collaborations with leading scientists across structural biology biophysics and molecular microbiology.Dr. Kaledhonkar’s research has significantly advanced the understanding of dynamic events in translation initiation, elongation, termination, and ribosome recycling. His landmark work Late steps in bacterial translation initiation visualized using time-resolved cryo-EM published in Nature revealed critical structural intermediates that define the kinetics of ribosomal assembly. He has also contributed foundational methods including the widely used microfluidic spraying-plunging technique for ultrafast sample preparation enabling real-time visualization of rapid biochemical reactions.A notable aspect of his research is the integration of mixing-spraying microfluidics with high-resolution cryo-EM an approach that has provided unprecedented insights into transient conformations of biological macromolecules. His studies on ribosome subunit association release-factor activation and ribosome recycling published in journals such as Structure and Biophysical Journalhave shaped current understanding of translation control and fidelity. His contributions extend to photobiology with influential work on photoactive yellow protein (PYP) focusing on chromophore isomerization protonation hydrogen bonding networks and signaling kinetics.Beyond ribosome biology Dr. Kaledhonkar has collaborated on impactful multidisciplinary research including bacteriophage characterization microbial biofilm reduction structural components of jumbo phages and mechanisms of innate antimicrobial defense involving AAA-ATPases. His recent works further explore methodological innovations in cryo-EM pose estimation extracellular vesicle isolation and enzyme conformational regulation highlighting his broad scientific influence.He has co-authored publications with leading researchers such as Joachim Frank Ziao Fu Bo Chen Måns Ehrenberg and Robert A. Grassucci underscoring a strong record of international collaboration. With expertise spanning structural dynamics microfluidics and time-resolved structural biology Dr. Kaledhonkar’s research continues to contribute to the global advancement of molecular and biomedical sciences offering foundational knowledge that drives future therapeutic and biotechnological innovations.

Profiles:  Googlescholar | Scopus

Featured Publications

1. Horst, M. A., Stalcup, T. P., Kaledhonkar, S., Kumauchi, M., Hara, M., & Xie, A. (2009). Locked chromophore analogs reveal that photoactive yellow protein regulates biofilm formation in the deep sea bacterium Idiomarina loihiensis. Journal of the American Chemical Society, 131(47), 17443–17451. Cited By : 61

2. Kaledhonkar, S., Fu, Z., White, H., & Frank, J. (2018). Time-resolved cryo-electron microscopy using a microfluidic chip. In Protein Complex Assembly: Methods and Protocols (pp. 59–71). Humana Press. Cited By : 52

3. Kumauchi, M., Kaledhonkar, S., Philip, A. F., Wycoff, J., Hara, M., Li, Y., & Xie, A. (2010). A conserved helical capping hydrogen bond in PAS domains controls signaling kinetics in the superfamily prototype photoactive yellow protein. Journal of the American Chemical Society, 132(44), 15820–15830. Cited By : 12

4. Das, S., & Kaledhonkar, S. (2024). Physiochemical characterization of a potential Klebsiella phage MKP-1 and analysis of its application in reducing biofilm formation. Frontiers in Microbiology, 15, 1397447. Cited By : 3

5. Ghosh, S., Roy, S., Baid, N., Das, U. K., Rakshit, S., Sanghavi, P., Hajra, D., Das, S., … & (include remaining authors if available). (2025). Host AAA-ATPase VCP/p97 lyses ubiquitinated intracellular bacteria as an innate antimicrobial defence. Nature Microbiology, 1–16. Cited By : 2

Dr. Kaledhonkar’s pioneering time-resolved cryo-EM work reveals molecular events in real time, advancing fundamental understanding of translation mechanisms. His innovations in microfluidic methodology continue to transform structural biology and accelerate discoveries in molecular medicine.

Shenglin Wang | Biomedical and Healthcare Applications | Young Scientist Award

Dr. Shenglin Wang | Biomedical and Healthcare Applications | Young Scientist Award

Clinician-Scientist | Fujian Medical University | China

Dr. Shenglin Wang is a biomedical researcher whose work focuses on tumor biology, cancer metastasis, and molecular mechanisms underlying osteosarcoma, chondrosarcoma, and lung cancer bone lesions. He completed a Post-doctoral Fellowship at Fujian Medical University where he advanced single-cell sequencing, tumor microenvironment profiling, and molecular pathology research. In 2025, he joined The First Affiliated Hospital of Fujian Medical University as a Physician, continuing to integrate clinical oncology with translational cancer research.Over the last five years, Dr. Wang has secured three competitive research grants as Principal Investigator or Co-Investigator. His ongoing NSFC project  investigates SOX18-mediated endothelial senescence and HBEGF secretion in non-small cell lung cancer bone metastasis, aiming to define novel therapeutic targets within the senescent vascular niche. He also leads a provincial project exploring HMGA2-regulated ferroptosis resistance in chondrosarcoma, contributing to the understanding of tumor progression and cell death mechanisms. His completed NSFC project, focused on aptamer-based electrochemical sensing for rapid detection of circulating tumor cells, reflects his multidisciplinary approach combining bioengineering with oncology.Dr. Wang has authored 33 peer-reviewed publications, accumulating 651 citations, with an h-index of 11, demonstrating sustained research productivity and academic impact. His representative articles include studies in Cell Proliferation, Frontiers in Immunology, and Acta Biochimica et Biophysica Sinica, covering topics such as single-cell transcriptomics of metastatic bone microenvironments, immune regulatory networks in thyroid carcinoma, and STAT3/EGFR signaling in osteosarcoma drug resistance. His collaborative work spans more than 60 co-authors, highlighting strong interdisciplinary engagement.Collectively, Dr. Wang’s research advances understanding of tumor microenvironment remodeling, therapeutic resistance, and metastasis-associated cell senescence. His contributions support the development of precision oncology strategies and have broad implications for improving diagnostic, prognostic, and therapeutic outcomes in bone-related malignancies.

Profiles:  Scopus | ResearchGate

Featured Publications

1. Author(s). (2025). The integrin α2–osteoclast axis: A key driver of bone destruction and therapeutic target in osteosarcoma. Journal of Translational Medicine.

2. Author(s). (2021). Corrigendum: Stattic sensitizes osteosarcoma cells to epidermal growth factor receptor inhibitors via blocking the interleukin 6-induced STAT3 pathway. Acta Biochimica et Biophysica Sinica, 53(12), 1670–1680.

3. Author(s). (2025). Single-cell transcriptomic analysis of the senescent microenvironment in bone metastasis. Cell Proliferation, 58(1), e13743. Cited By : 5

The nominee’s work advances precision oncology by uncovering key molecular and microenvironmental mechanisms that drive tumor progression, therapeutic resistance, and bone metastasis, enabling the development of more effective diagnostic and therapeutic strategies. By integrating single-cell analytics, molecular signaling research, and translational innovation, the nominee contributes to improved cancer outcomes and supports global efforts toward personalized, mechanism-driven cancer care.

Mrs. Deepthi S | Medical Image Analysis | Best Researcher Award

Publications

Gradient Propagation Based DenseNet121 with ResNet50 Feature Extraction for Lymphoma Classification

  • Author: Srinivasan, D.; Kalaiarasan, C.
    Journal: Journal of The Institution of Engineers (India): Series B
    Year: 2024

Non Hodgkin’s Lymphoma Classification using Improved Predator Optimization Based Densenet121 Model

  • Author: Deepthi S; Dr. M. Chandrasekhar
    Journal: Journal of Electrical Systems
    Year: 2024

Harnessing ResNet50 and DenseNet201 for Enhanced Lymphoma Diagnosis via Feature Extraction

  • Author: Deepthi S; Dr. M. Chandrasekhar
    Journal: Frontiers in Health Informatics
    Year: 2024

An efficient face image retrieval system based on attribute sparse codewords

  • Author: Deepthi S
    Journal: International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)
    Year: 2016

Dr. Yijie Ning | Medical Image Analysis | Best Researcher Award

Dr. Yijie Ning | Medical Image Analysis | Best Researcher Award

Doctorate at the First Hospital of Shanxi Medical University, China

👨‍🎓 Profiles

Scopus

Publications

NIR-II imaging-based detection of early changes in lower limb perfusion in type 2 diabetes patients without peripheral artery disease

  • Author: Yijie Ning, Jie Hu, Yikun Zhu, Ruijing Zhang, Honglin Dong, et al.
    Journal: Diabetes Research and Clinical Practice
    Year: 2025

Prof. Krishan Kumar | Medical Image Analysis | Best Researcher Award

Publications

Enhancing Transparency and Trust in Brain Tumor Diagnosis: An In-Depth Analysis of Deep Learning and Explainable AI Techniques

  • Authors: Krishan Kumar, Kiran Jyoti
    Journal: Preprint
    Year: 2025

Machine Learning for Brain Tumor Classification: Evaluating Feature Extraction and Algorithm Efficiency

  • Authors: Krishan Kumar, Kiran Jyoti
    Journal: Discover Artificial Intelligence
    Year: 2024

Explainable AI in Brain Tumor Diagnosis: A Critical Review of ML and DL Techniques

  • Authors: Krishan Kumar, Kiran Jyoti
    Journal: Preprint
    Year: 2024

Recent Advancements in Grad-CAM and Variants: Enhancing Brain Tumor Detection, Segmentation, and Classification

  • Authors: Krishan Kumar, Kiran Jyoti
    Journal: Preprint
    Year: 2024

A Comparative Analysis of Static and Dynamic Java Bytecode Watermarking Algorithms

  • Authors: Krishan Kumar, Prabhpreet Kaur
    Journal: Advances in Intelligent Systems and Computing
    Year: 2019

Prof. Zhitao Xiao | Medical Image Analysis | Best Researcher Award

Prof. Zhitao Xiao | Medical Image Analysis | Best Researcher Award

School of Life Sciences of Tiangong University, China

👨‍🎓 Profiles

Scopus

Orcid

Publications

MSTNet: Multi-scale spatial-aware transformer with multi-instance learning for diabetic retinopathy classification

  • Author: X. Wei, Xin; Y. Liu, Yanbei; F. Zhang, Fang; X. Cao, Xiangyu; Z. Xiao, Zhitao
    Journal: Medical Image Analysis
    Year: 2025

A Deep Learning-Based Modeling Method for Phase-Free Near-Field Scanning Measurement

  • Author: S. Zhao, Shuli; J. Wu, Jianfei; Y. Song, Yang; L. Chen, Ledong; Z. Xiao, Zhitao
    Journal: IEEE Transactions on Antennas and Propagation
    Year: 2025

Stripe Pooling and Vessel-Constraint Network for Fundus Image Artery /Vein Classification

  • Author: Z. Xiao, Zhitao; X. Peng, Xinwen; Y. Liu, Yanbei; F. Zhang, Fang; W. Wang, Wen
    Journal: Chinese Journal of Biomedical Engineering
    Year: 2024

Diabetic Retinopathy Segmentation Using Dense Dilated Attention Pyramid and Multi-Scale Features

  • Author: Z. Wang, Zhilu; Y. Chi, Yue; Y. Zhou, Yatong; Z. Xiao, Zhitao; S. Wang, Shaoqi
    Journal: Chinese Journal of Medical Physics
    Year: 2024

AGT: Enhancing Many-Body Interactions in Material Property Prediction

  • Author: L. Geng, Lei; Y. Niu, Yaxi; Z. Xiao, Zhitao; H. Yin, Huaqing
    Journal: Computational Materials Science
    Year: 2024

Ms. Yang Yuan | Medical Image Analysis | Best Researcher Award

Ms. Yang Yuan | Medical Image Analysis | Best Researcher Award

Chongqing University of Technology, China

👨‍🎓 Profiles

Scopus

Orcid

Publications

Stochastic Augmented-Based Dual-Teaching for Semi-Supervised Medical Image Segmentation

  • Authors: H. Liu, Y. Yuan, P. Ren, C. Song, F. Luo.
    Journal: Computers, Materials & Continua
    Year: 2025

Prof Dr. Yunyoung Nam | Medical Image Analysis | Best Researcher Award

Publications

A Novel Approach for High-Resolution Coastal Areas and Land Use Recognition from Remote Sensing Images based on Multimodal Network-Level Fusion of SRAN3 and Lightweight Four Encoders ViT

  • Authors: M.K. Bhatti, Muhammad Kashif; M.A. Khan, Muhammad Attique; S. Shaheen, Saima; S.A. Algamdi, Shabbab Ali; Y. Nam, Yunyoung
    Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    Year: 2025

Analysis of Near-Fall Detection Method Utilizing Dynamic Motion Images and Transfer Learning

  • Authors: J. Kim, Jungyeon; N. Mat, Nab; C. Kim, Chomyong; S. Jeon, Seob; Y. Nam, Yunyoung
    Journal: IEEE Access
    Year: 2025

Cooperative PPG/ECG Wearable System for Atrial Fibrillation Diagnosis

  • Authors: Y. Lee, Yonbin; S. Lee, Soyoung; S. Kim, Sang-kyu; Y. Nam, Yunyoung; J. Lee, Jinseok
    Journal: IEEE Sensors Journal
    Year: 2025

Energy-Efficient Discrete Cosine Transform Architecture Using Reversible Logic for IoT-Enabled Consumer Electronics

  • Authors: M. Awais, Muhammad; W. Khan, Wilayat; T. Akram, Tallha; Y. Nam, Yunyoung
    Journal: IEEE Access
    Year: 2025

Reliable Autism Spectrum Disorder Diagnosis for Pediatrics Using Machine Learning and Explainable AI

  • Authors: I. Jeon, Insoo; M. Kim, Minjoong; D. So, Dayeong; J. Kim, Joungmin; J. Moon, Jihoon
    Journal: Diagnostics
    Year: 2024

Dr. Sajid Ullah Khan | Medical Image Analysis | Best Researcher Award

Dr. Sajid Ullah Khan | Medical Image Analysis | Best Researcher Award

Doctorate at Prince Sattam Bin Abdulaziz University, Saudi Arabia

👨‍🎓 Profiles

Scopus

Orcid

Google Scholar

Publications

Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism

  • Authors: Naveed Saif, Sajid Ullah Khan, Imrab Shaheen, Faiz Abdullah ALotaibi, Mrim M Alnfiai, Mohammad Arif
  • Journal: Computers in Human Behavior
  • Year: 2024

Energy-efficient routing protocols for UWSNs: A comprehensive review of taxonomy, challenges, opportunities, future research directions, and machine learning perspectives

  • Authors: Sajid Ullah Khan, Zahid Ulalh Khan, Mohammed Alkhowaiter, Javed Khan, Shahid Ullah
  • Journal: Journal of King Saud University-Computer and Information Sciences
  • Year: 2024

Multimodal medical image fusion towards future research: A review

  • Authors: Sajid Ullah Khan, Mir Ahmad Khan, Muhammad Azhar, Faheem Khan, Youngmoon Lee, Muhammad Javed
  • Journal: Journal of King Saud University-Computer and Information Sciences
  • Year: 2023

Historical text image enhancement using image scaling and generative adversarial networks

  • Authors: Sajid Ullah Khan, Imdad Ullah, Faheem Khan, Youngmoon Lee, Shahid Ullah
  • Journal: Sensors
  • Year: 2023

A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19)

  • Authors: Sajid Ullah Khan, Imdad Ullah, Najeeb Ullah, Sajid Shah, Mohammed El Affendi, Bumshik Lee
  • Journal: Scientific Reports
  • Year: 2023

Mr. Shuhuan Wang | Medical Image Analysis | Best Researcher Award

Mr. Shuhuan Wang | Medical Image Analysis | Best Researcher Award

Shuhuan Wang at Northeastern University, China

👨‍🎓 Profiles

Scopus

Orcid

Google Scholar

Publications

DP-CLAM: A weakly supervised benign-malignant classification study based on dual-angle scanning ultrasound images of thyroid nodules

  • Authors: Wang, S., Zhang, S., Liao, L., Huang, L., Ma, H.
  • Journal: Medical Engineering and Physics
  • Year: 2025

A model fusion method based DAT-DenseNet for classification and diagnosis of aortic dissection

  • Authors: He, L., Wang, S., Liu, R., Ma, H., Wang, X.
  • Journal: Physical and Engineering Sciences in Medicine
  • Year: 2024

SRT: Swin-residual transformer for benign and malignant nodules classification in thyroid ultrasound images

  • Authors: Huang, L., Xu, Y., Wang, S., Sang, L., Ma, H.
  • Journal: Medical Engineering and Physics
  • Year: 2024

DPAM-PSPNet: Ultrasonic image segmentation of thyroid nodule based on dual-path attention mechanism

  • Authors: Wang, S., Li, Z., Liao, L., Huang, L., Ma, H.
  • Journal: Physics in Medicine and Biology
  • Year: 2023