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

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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. Vinniotsa Buzoianu Anguiano | Medical Image Analysis | Women Researcher Award

Dr. Vinniotsa Buzoianu Anguiano | Medical Image Analysis | Women Researcher Award

Doctorate at Hospital Nacional de Parapléjicos, Spain

Profiles

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Summary

Dr. Vinnitsa Buzoianu Anguiano is an accomplished postdoctoral researcher at the Hospital Nacional de Parapléjicos in Spain, specializing in neural regeneration and spinal cord injury. Her work integrates natural and health sciences to advance treatments for neural damage.

Education

  • PhD in Animal Production and Health Sciences – Universidad Nacional Autónoma de México, 2019
  • Master’s in Sciences – Universidad Nacional Autónoma de México, 2013
  • Bachelor’s in Biology – Universidad Simón Bolívar, 2007

💼 Professional Experience

Dr. Buzoianu has held several research positions across Mexico and Spain, including junior researcher roles in projects like “Camina” and Universidad Anahuac. Since 2021, she has been contributing to neural regeneration research at the LRNI/Grupo Regeneración Neural.

🔬 Research Interests

Her research focuses on neural regeneration, spinal cord injuries, and innovative therapeutic strategies involving stem cells and biomaterials. She has contributed significantly to peer-reviewed publications and collaborative projects in these areas.

 

Publications

Improved Efficacy of Delayed Treatment with Human Bone Marrow-Derived Stromal Cells Evaluated in Rats with Spinal Cord Injury

  • Authors: Aguado-Garrido, M., García-Rama, C., Romero-Ramírez, L., Kramer, B.W., Mey, J.
  • Journal: International Journal of Molecular Sciences
  • Year: 2024

Use of Cells, Supplements, and Peptides as Therapeutic Strategies for Modulating Inflammation after Spinal Cord Injury: An Update

  • Authors: Garcia, E., Buzoianu-Anguiano, V., Silva-Garcia, R., Doncel-Pérez, E., Ibarra, A.
  • Journal: International Journal of Molecular Sciences
  • Year: 2023

Role of aldynoglia cells in neuroinflammatory and neuroimmune responses after spinal cord injury

  • Authors: Buzoianu-Anguiano, V., Torres-Llacsa, M., Doncel-Pérez, E.
  • Journal: Cells
  • Year: 2021

Recovery of motor function after traumatic spinal cord injury by using plasma-synthesized polypyrrole/iodine application in combination with a mixed rehabilitation scheme

  • Authors: Sánchez-Torres, S., Díaz-Ruíz, A., Ríos, C., Damián-Matsumura, P., Salgado-Ceballos, H.
  • Journal: Journal of Materials Science: Materials in Medicine
  • Year: 2020

Use of a Combination Strategy to Improve Morphological and Functional Recovery in Rats With Chronic Spinal Cord Injury

  • Authors: Rodríguez-Barrera, R., Flores-Romero, A., Buzoianu-Anguiano, V., Juárez-Vignon Whaley, J.J., Ibarra, A.
  • Journal: Frontiers in Neurology
  • Year: 2020

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

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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