Dr. Zhicheng Zhang | Medical Physics | Best Researcher Award

Publications

Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer

  • Authors: Zepang Sun, Taojun Zhang, M Usman Ahmad, Zixia Zhou, Liang Qiu, Kangneng Zhou, Wenjun Xiong, Jingjing Xie, Zhicheng Zhang, Chuanli Chen, Qingyu Yuan, Yan Chen, Wanying Feng, Yikai Xu, Lequan Yu, Wei Wang, Jiang Yu, Guoxin Li, Yuming Jiang
  • Journal: The Journal of Clinical Investigation
  • Year: 2024

Weakly supervised framework for cancer region detection of hepatocellular carcinoma in whole-slide pathologic images based on multiscale attention convolutional neural network

  • Authors: Songhui Diao, Yinli Tian, Wanming Hu, Jiaxin Hou, Ricardo Lambo, Zhicheng Zhang, Yaoqin Xie, Xiu Nie, Fa Zhang, Daniel Racoceanu, Wenjian Qin
  • Journal: The American journal of pathology
  • Year: 2022

Topological EEG nonlinear dynamics analysis for emotion recognition

  • Authors: Yan Yan, Xuankun Wu, Chengdong Li, Yini He, Zhicheng Zhang, Huihui Li, Ang Li, Lei Wang
  • Journal: IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
  • Year: 2022

Biology-guided deep learning predicts prognosis and cancer immunotherapy response

  • Authors: Yuming Jiang*, Zhicheng Zhang*, Wei Wang*, Weicai Huang*, Chuanli Chen, Sujuan Xi, M Usman Ahmad, Yulan Ren, Shengtian Sang, Jingjing Xie, Jen-Yeu Wang, Wenjun Xiong, Tuanjie Li, Zhen Han, Qingyu Yuan, Yikai Xu, Lei Xing, George A Poultsides, Guoxin Li, Ruijiang Li
  • Journal: Nature Communications
  • Year: 2023

Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study

  • Authors: Yuming Jiang*, Zhicheng Zhang*, Qingyu Yuan*, Wei Wang*, Hongyu Wang, Tuanjie Li, Weicai Huang, Jingjing Xie, Chuanli Chen, Zepang Sun, Jiang Yu, Yikai Xu, George A Poultsides, Lei Xing, Zhiwei Zhou, Guoxin Li, Ruijiang Li
  • Journal: The Lancet Digital Health
  • Year: 2022

Prof Dr. Debahuti Mishra | Medical Image Analysis | Best Researcher Award

Prof Dr. Debahuti Mishra | Medical Image Analysis | Best Researcher Award

Debahuti Mishra at Siksha ‘O’ Anusandhan (Deemed to be) University, India

Profiles

Scopus

Orcid

Academic Background

  • Ph.D. in Computer Science and Engineering: Siksha ‘O’ Anusandhan (Deemed to be) University, Bhubaneswar, Odisha, 2011
  • M.Tech. in Computer Science and Engineering: KIIT (Deemed to be) University, Bhubaneswar, Odisha, 2011 (CGPA: 7.94)
  • B.E. in Computer Science and Engineering: Orissa Engineering College, Utkal University, Bhubaneswar, Odisha, 1994 (68%)
  • +2 Science: B.J.B. College, Bhubaneswar, Odisha, 1990 (52%)
  • HSC: Unit-VI Government Girls’ High School, Bhubaneswar, Odisha, 1988 (84%)

💼 Professional Experience

  • Professor: Since November 18, 2015
  • Associate Professor: August 1, 2011 – November 17, 2015
  • Assistant Professor: March 12, 2008 – July 31, 2011
  • Senior Lecturer: July 17, 2006 – March 11, 2008
  • Lecturer: March 13, 2006 – July 17, 2006
  • Previous roles include positions at Orissa Engineering College, College of Engineering Bhubaneswar, and Azad Institute of Engineering and Technology.

🏅Awards and Recognitions

  • BEST RESEARCHER: Engineers Day, 2018
  • WOMEN ICON: Women’s Day, 2016 by Ever Green Forum, Bhubaneswar

 

Publications

Tumor thickness and depth of invasion in squamous cell carcinoma of tongue as indicators of the loco-regional spread of the disease: A preliminary study

  • Authors: Das, R., Misra, S.R., Mohapatra, S.S.G., Mishra, D., Rai, A.
  • Journal: Journal of Oral Biology and Craniofacial Research
  • Year: 2024

Enhancing Breast Cancer Diagnosis: A Hybrid Approach with Bidirectional LSTM and Variable Size Firefly Algorithm Optimization

  • Authors: Behera, M.P., Sarangi, A., Mishra, D.
  • Journal: International Journal of Electrical and Computer Engineering Systems
  • Year: 2024

Balancing exploration and exploitation: Unleashing the adaptive power of automatic cuckoo search for meta-heuristic optimization

  • Authors: Nayak, S.K., Senapati, B.R., Mishra, D.
  • Journal: Intelligent Decision Technologies
  • Year: 2024

Empirical Forecasting Analysis of Bitcoin Prices: A Comparison of Machine Learning, Deep Learning, and Ensemble Learning Models

  • Authors: Tripathy, N., Satapathy, P., Hota, S., Nayak, S.K., Mishra, D.
  • Journal: International Journal of Electrical and Computer Engineering Systems
  • Year: 2024

CAGTRADE: Predicting Stock Market Price Movement with a CNN-Attention-GRU Model

  • Authors: Friday, I.K., Pati, S.P., Mishra, D., Mallick, P.K., Kumar, S.
  • Journal: Asia-Pacific Financial Markets
  • Year: 2024

Dr. Seyed Hani Hojjati | Medical Image Analysis | Best Researcher Award

Dr. Seyed Hani Hojjati | Medical Image Analysis | Best Researcher Award

Doctorate at Weill Cornell Medicine, United States

Profiles

Scopus

Google Scholar

📋 Summary

Dr. Seyed Hani Hojjati is an accomplished Instructor of Electrical Engineering in the Department of Radiology at Weill Cornell Medicine. With a robust background in mathematics, machine learning, signal processing, and image processing, Dr. Hojjati has significantly contributed to the field of neuroimaging, particularly in Alzheimer’s disease research. His innovative work integrates resting-state functional magnetic resonance imaging (rs-fMRI) to distinguish between healthy individuals and those progressing towards mild cognitive impairment (MCI) and Alzheimer’s Disease (AD). His research has also expanded to include advanced modalities like diffusion tensor imaging (DTI) and positron emission tomography (PET), with the goal of identifying reliable biomarkers for early neuropsychological changes.

Education

  • Ph.D. in Electrical Engineering (2018)
    Babol Noshirvani University of Technology, Babol, Mazandaran, Iran
    Dissertation: Identification of Effective Brain Areas to Predict Alzheimer’s Disease Using Resting-State fMRI and MRI
  • M.Sc. in Electrical Engineering (2013)
    Babol Noshirvani University of Technology, Babol, Mazandaran, Iran
    Dissertation: Energy Efficient Cooperative Spectrum Sensing by Multi-Antenna Sensor Network and Soft Computing Techniques
  • B.Sc. in Electrical Engineering (2011)
    University of Mazandaran, Babolsar, Mazandaran, Iran
    Dissertation: Harmonic Analysis on Relays

💼 Professional Experience

Currently, Dr. Hojjati is an Instructor of Electrical Engineering at Weill Cornell Medicine (WCM) in the Department of Radiology, Brain Health Imaging Institute. His work focuses on the underlying mechanisms of remote associations between amyloid-beta and tau depositions at preclinical stages of Alzheimer’s disease. He has contributed significantly to the harmonization and processing of multimodal imaging data and has played a pivotal role in various NIH-funded research projects. Prior to his current role, he served as a Postdoctoral Associate at WCM, where he designed neuropsychological tasks for fMRI scanners and developed novel preprocessing tools for PET data. Dr. Hojjati also held a Postdoctoral Fellow position at the University of Tennessee Health Science Center, where he focused on multimodal neuroimaging approaches to identify early neuropsychological changes in Alzheimer’s disease.

🏆 Honors and Awards

  • Travel Scholarship, Human Amyloid Imaging (2023)
  • Winter Travel Stipend Award, University of Tennessee Health Science Center (2019)
  • Outstanding Abstract Award, University of Tennessee Health Science Center (2019)
  • Travel Stipend Award, Organization for Human Brain Mapping (2016)
  • Top Student Award, National Elites Foundation (2016)
  • Study Scholarship, Babol Noshirvani University of Technology (2014)

🔬 Research and Skills 

Dr. Hojjati’s research expertise spans multiple neuroimaging modalities, including rs-fMRI, task-fMRI, MRI, PET, and DTI. He is proficient in machine learning, signal processing, and image processing, with a focus on developing innovative techniques for feature integration and selection in multimodal neuroimaging data. His technical skills include programming in Python, MATLAB, and C++, as well as using neuroimaging tools like FreeSurfer, FSL, and SPM. He is also experienced in statistical analysis and neuropsychological test design.

Publications

Reduction in Constitutively Activated Auditory Brainstem Microglia in Aging and Alzheimer’s Disease

  • Authors: Butler, T., Wang, X., Chiang, G., Pascoal, T.A., Rosa-Neto, P.
  • Journal: Journal of Alzheimer’s Disease
  • Year: 2024

Remote Associations Between Tau and Cortical Amyloid-β Are Stage-Dependent

  • Authors: Hojjati, S.H., Chiang, G.C., Butler, T.A., Devanand, D.P., Razlighi, Q.R.
  • Journal: Journal of Alzheimer’s Disease
  • Year: 2024
Seeing Beyond the Symptoms: Biomarkers and Brain Regions Linked to Cognitive Decline in Alzheimer’s Disease
  • Authors: Hojjati, S.H., Babajani-Feremi, A.
  • Journal: Frontiers in Aging Neuroscience
  • Year: 2024

Prediction and Modeling of Neuropsychological Scores in Alzheimer’s Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks

  • Authors: Hojjati, S.H., Babajani-Feremi, A.
  • Journal: Frontiers in Computational Neuroscience
  • Year: 2022

Topographical Overlapping of the Amyloid-β and Tau Pathologies in the Default Mode Network Predicts Alzheimer’s Disease with Higher Specificity

  • Authors: Hojjati, S.H., Feiz, F., Ozoria, S., Razlighi, Q.R.
  • Journal: Journal of Alzheimer’s Disease
  • Year: 2021

Mrs. Samreen Fiza | Medical Image Analysis | Best Researcher Award

Mrs. Samreen Fiza | Medical Image Analysis | Best Researcher Award

Samreen Fiza at Presidency University, India 

Profiles

Scopus

Orcid

Google Scholar

Academic Background:

Dr. Samreen Fiza is a dedicated and accomplished academic professional with over nine years of experience in the field of Electronics and Communication Engineering. Currently serving as an Assistant Professor in the E.C.E Department at the School of Engineering, Presidency University, Bangalore, she has demonstrated excellence in teaching, research, and mentoring. She has published 14 international journal papers, presented 14 papers at international conferences, and has six patents to her name. Dr. Fiza has also been recognized with numerous awards, including the "Teaching Excellence Award" and multiple "Best Paper Awards."

Education:

Dr. Fiza is currently pursuing her Ph.D. at Presidency University, Bangalore, focusing on Image Fusion using Computer Vision and Machine Learning. She completed her MTech in Digital Communication and Networking from Dayananda Sagar College of Engineering, Bangalore, securing a First class with Distinction (82.29%) and earning a University 3rd Rank (Silver Medalist) from VTU Belgaum in 2014. She holds a BTech in Electronics and Communication Engineering from H.K.B.K. College of Engineering, Bangalore, where she also graduated with First class Distinction. Her earlier education includes completing her PUC from St. Anne’s P.U. College and SSLC from St. Mary’s Girls High School, both in Bangalore, Karnataka.

Professional Experience:

Dr. Fiza has a rich professional background, beginning her career as an Assistant Professor in the E.C.E Department at H.K.B.K. College of Engineering, Bangalore, where she worked from March 2015 to May 2018. Since July 2018, she has been serving as an Assistant Professor at Presidency University, Bangalore. In her current role, she has excelled in teaching a wide range of courses, coordinating research and development projects, and guiding undergraduate projects. She has also actively contributed to NAAC and NBA accreditation processes and organized numerous technical workshops, seminars, and industrial visits.

Research Interests:

Dr. Fiza's research interests lie primarily in the fields of Digital Image and Video Processing and Machine Learning. Her ongoing Ph.D. work focuses on Image Fusion using Computer Vision and Machine Learning. She has been actively involved in presenting her research at various national and international conferences and has published multiple papers and book chapters in these areas. Her notable projects include "Plant Disease Classification using DL Techniques for Smart Agriculture" and "Fluorescein Angiography Retinal Image Registration using Coherent Pixel Correspondence."

 Publications:

Multi-focus image fusion using edge discriminative diffusion filter for satellite images
  • Authors: Samreen Fiza, S Safinaz
  • Journal: Multimedia Tools and Applications
  • Year: 2024
Medical image registration with object deviation estimation through motion vectors using octave and level sampling
  • Authors: P Nagarathna, Azra Jeelani, Samreen Fiza, G Tirumala Vasu, Koteswararao Seelam
  • Journal: Automatika
  • Year: 2024
Improved chimp optimization algorithm (ICOA) feature selection and deep neural network framework for internet of things (IOT) based android malware detection
  • Authors: Samreen Fiza, ATA Kishore Kumar, V Sowmya Devi, Ch Niranjan Kumar, Afreen Kubra
  • Journal: Measurement: Sensors
  • Year: 2023
MACHINE LEARNING ALGORITHMS BASED SUBCLINICAL KERATOCONUS DETECTION
  • Authors: Koteswararao Seelam Samreen Fiza, G. Tirumala Vasu, Afreen Kubra, Ata. Kishore Kumar
  • Journal: NeuroQuantology
  • Year: 2022
Exploring Possibilities And Methodologies for Big Data and 5G Convergence
  • Authors: Intekhab Alam, Samreen Fiza, MP Sunil
  • Year: 2023