Dr. Ghulam Murtaza | Image Processing | Best Academic Researcher Award

Dr. Ghulam Murtaza | Image Processing | Best Academic Researcher Award

Doctorate at National University of Modern Languages, Pakistan

๐Ÿ‘จโ€๐ŸŽ“ Profiles

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๐Ÿ“Œ Summary

Dr. Ghulam Murtaza is an Assistant Professor in the Department of Mathematics at the National University of Modern Languages (NUML), Islamabad. His research focuses on developing new mathematical models in cryptography, particularly in elliptic curve and chaotic maps-based cryptosystems. With a passion for innovation, he mentors students and actively contributes to cutting-edge research in mathematical cryptography and machine learning-based cryptosystems.

๐ŸŽ“ Education

  • PhD in Mathematics (2019โ€“2023) โ€“ Quaid-i-Azam University
    Dissertation: Image Cryptosystems Using Elliptic Curve Cryptography

  • MPhil in Mathematics (2015โ€“2017) โ€“ Quaid-i-Azam University
    Dissertation: Learning From Data Using Algebraic Geometry

  • MSc in Mathematics (2013โ€“2015) โ€“ Quaid-i-Azam University

  • BSc in Mathematics & Physics (2010โ€“2012) โ€“ Bahauddin Zakariya University

๐Ÿ‘จโ€๐Ÿซ Professional Experience

  • Assistant Professor โ€“ NUML, Islamabad (2023โ€“Present)

  • Visiting Assistant Professor โ€“ Quaid-i-Azam University (2023)

  • Visiting Lecturer โ€“ Quaid-i-Azam University (2023โ€“2024)

  • Lecturer โ€“ University of Lahore, Pakpattan Campus (2017โ€“2019)

๐Ÿ† Awards & Honors

  • First-class academic record from Matric to MPhil

  • Mrs. Rehmat Shahbuddin Memorial Scholarship (MSc, 2013โ€“2015)

  • Merit Scholarship โ€“ Quaid-i-Azam University

  • Shahbaz Sharif Youth Initiative Laptop Scheme (2012)

๐Ÿ”ฌ Research Interests

  • Elliptic Curve Cryptography

  • Chaotic Maps-Based Cryptography

  • Machine Learning for Cryptosystems

  • Dynamical Systems & Isogeny-Based Cryptography

 

Publications

Efficient Image Encryption Algorithm Based on ECC and Dynamic S-Box

  • Author: Ghulam Murtaza, Umar Hayat
    Journal: Journal of Information Security and Applications
    Year: 2025

Enumerating Discrete Resonant Rossby/Drift Wave Triads and Their Application in Information Security

  • Author: Umar Hayat, Ikram Ullah, Ghulam Murtaza, Naveed Ahmed Azam, Miguel D. Bustamante
    Journal: Mathematics
    Year: 2022

Designing an Efficient and Highly Dynamic Substitution-Box Generator for Block Ciphers Based on Finite Elliptic Curves

  • Author: Ghulam Murtaza, Naveed Ahmed Azam, Umar Hayat, Iqtadar Hussain
    Journal: Security and Communication Networks
    Year: 2021

Prof Dr. Guoping Yan | Biomedical Imaging | Best Researcher Award

Structural reconstruction synthesis of highly luminous water-stable CsPbBr3@CsPb2Br5@DSPE core-shell perovskite nanocrystals for bioimaging, pattering, and LEDs

  • Author: Jiejun Ren, Longyun Liu, Fan Liu, Guoping Yan, Yuhua Wang
    Journal: Journal of Materials Science and Technology
    Year: 2025

Synthesis and property of 1,1,3,3-tetramethylisoindolin-2-yloxyl-containing polythiophene

  • Author: Fan Liu, Yanchun Shen, Guoping Yan
    Journal: Journal of Alloys and Compounds
    Year: 2025

Lead-Doped Cesium Manganese Halide Perovskite Nanocrystals for Light-Emitting Diodes: Room-Temperature Synthesis, Energy Transfer, and Phase Modulating

  • Author: Jiejun Ren, Longyun Liu, Huiping Liu, Guoping Yan, Yuhua Wang
    Journal: ACS Materials Letters
    Year: 2025

Carbonic Anhydrase IX Targeted Polyaspartamide Fluorescent Probes for Tumor Imaging

  • Author: Yu Zhang, Fan Liu, Chuntao Shao, Jun Huang, Guoping Yan
    Journal: International Journal of Nanomedicine
    Year: 2025

Synthesis and Characterization of Sulfonamide-Containing Naphthalimides as Fluorescent Probes

  • Author: Zhiwei Liu, Fan Liu, Chuntao Shao, Guoping Yan, Jiangyu Wu
    Journal: Molecules
    Year: 2024

Mr. Jiahao Nie | Image Processing | Best Researcher Award

Mr. Jiahao Nie | Image Processing | Best Researcher Award

Hangzhou Dianzi University, China

๐Ÿ‘จโ€๐ŸŽ“ Profiles

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๐Ÿ“Œย Summary

Mr. Jiahao Nie is a dedicated Ph.D. candidate at Hangzhou Dianzi University (HDU) and Hanyang University (HYU), specializing in computer vision, 2D image processing, and 3D point cloud processing. Under the guidance of Prof. Zhiwei He and Assoc. Prof. Dong-Kyu Chae, he is actively engaged in cutting-edge research in autonomous driving and object tracking.

๐ŸŽ“ย Education

  • Ph.D. in Electronic Science and Technology (HDU, 2022-2025)
  • Joint Ph.D. in Computer Science (HYU, 2024-2025)
  • B.Eng. in Electronic Information Engineering (HDU, 2020-2022)

๐Ÿ”ฌย Research Interests

His research is primarily focused on computer vision, including 2D image processing, 3D point cloud processing, and object tracking for autonomous driving.

๐Ÿ†Honors & Awards

  • Ph.D. National Scholarship (Rank: 1/75)ย |ย Full Postgraduate Scholarship (2020-2025)
  • First-Class Academic Scholarship (Top 3%)ย |ย National Scholarship for Studying Abroad (2023)

๐Ÿ“‘ Academic Contributions

  • Reviewer for ICCV, CVPR, ICLR, ICML, ECCV, NeurIPS, AAAI, ACM MM
  • Presenter at ICLR (2024), IJCAI (2023), AAAI (2023)

 

Publications

TTSNet: state-of-charge estimation of Li-ion battery in electrical vehicles with temporal transformer-based sequence network

  • Authors: Zhengyi Bao, Jiahao Nie, Huipin Lin, Kejie Gao, Zhiwei He, Mingyu Gao
  • Journal: IEEE Transactions on Vehicular Technology
  • Year: 2024

A fine-grained feature decoupling based multi-source domain adaptation network for rotating machinery fault diagnosis

  • Authors: Xiaorong Zheng, Jiahao Nie, Zhiwei He, Ping Li, Zhekang Dong, Mingyu Gao
  • Journal: Reliability Engineering & System Safety
  • Year: 2024

A progressive multi-source domain adaptation method for bearing fault diagnosis

  • Authors: Xiaorong Zheng, Zhiwei He, Jiahao Nie, Ping Li, Zhekang Dong, Mingyu Gao
  • Journal: Applied Acoustics
  • Year: 2024

Dual-task learning for joint state-of-charge and state-of-energy estimation of lithium-ion battery in electric vehicle

  • Authors: Zhengyi Bao, Jiahao Nie, Huipin Lin, Zhi Li, Kejie Gao, Zhiwei He, Mingyu Gao
  • Journal: IEEE Transactions on Transportation Electrification
  • Year: 2024

TM2B: Transformer-Based Motion-to-Box Network for 3D Single Object Tracking on Point Clouds

  • Authors: Anqi Xu, Jiahao Nie*, Zhiwei He, Xudong Lv
  • Journal: IEEE Robotics and Automation Letters
  • Year: 2024

Dr. Hua Ren | Image Processing | Best Researcher Award

Dr. Hua Ren | Image Processing | Best Researcher Award

Doctorate at Henan Normal University, China

๐Ÿ‘จโ€๐ŸŽ“ Profiles

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๐Ÿ“Œย Summary

Dr. Hua Ren is a dedicated researcher and lecturer specializing in image security, encryption, and data hiding. His expertise lies in visually secure encryption and authentication technologies, contributing significantly to high-impact journals and research projects in these domains.

๐ŸŽ“ย Education

  • Ph.D.ย in Computer Science and Technology, Beijing University of Posts and Telecommunications (2019-2023)
  • Masterโ€™sย in Computer Science and Technology, Henan Normal University (2016-2019)
  • Bachelorโ€™sย in Computer Science and Technology, Henan Normal University (2012-2016)

๐Ÿ’ผย Work & Research Experience

  • Lecturer (2023-Present)ย โ€“ School of Computer and Information Engineering, Henan Normal University
  • Principal Investigatorย โ€“ Henan Science and Technology Research Project on image reversible authentication (2025-2026)

๐Ÿ”ฌย Research Interests

  • Image Security & Encryption
  • Reversible Data Hiding
  • Visual Authentication & Cryptography
  • Digital Image Processing

 

Publications

A novel reversible data hiding method in encrypted images using efficient parametric binary tree labeling

  • Authors: Hua Ren, Zhen Yue, Feng Gu, Ming Li, Tongtong Chen, Guangrong Bai
  • Journal: Knowledge-Based Systems
  • Year: 2024

Multi-scale attention context-aware network for detection and localization of image splicing

  • Authors: Ruyong Ren, Shaozhang Niu, Junfeng Jin, Jiwei Zhang, Hua Ren, Xiaojie Zhao
  • Journal: Applied Intelligence
  • Year: 2023

ERINet: Efficient and robust identification network for image copy-move forgery detection and localization

  • Authors: Ruyong Ren, Shaozhang Niu, Junfeng Jin, Keyang Xiong, Hua Ren
  • Journal: Applied Intelligence
  • Year: 2023

ESRNet: Efficient Search and Recognition Network for Image Manipulation Detection

  • Authors: Ruyong Ren, Shaozhang Niu, Hua Ren, Shubin Zhang, Tengyue Han, Xiaohai Tong
  • Journal: ACM Transactions on Multimedia Computing, Communications, and Applications
  • Year: 2022

Joint encryption and authentication in hybrid domains with hidden double random-phase encoding

  • Authors: Hua Ren, Shaozhang Niu
  • Journal: Multimedia Tools and Applications
  • Year: 2022

Prof. Nema Salem | Image Processing | Best Researcher Award

Prof. Nema Salem | Image Processing | Best Researcher Award

Professor at Effat University, Saudi Arabia

๐Ÿ‘จโ€๐ŸŽ“ Profiles

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๐ŸŽ“ Early Academic Pursuits

Prof. Nema Salemโ€™s academic journey began with a strong foundation in engineering and medical imaging. She earned her B.Sc. with honors in 1987 and later obtained her M.Sc. in 1990 from Alexandria University (AU), Egypt, specializing in mitral valve diagnosis. She further pursued her Ph.D. in “Classification of Breast Tumors by Acutance Measure and Shape Factors” through a joint program between the University of Calgary, Canada, and AU in 1996. Her early research laid the groundwork for advancements in medical diagnostics, particularly in breast cancer detection, setting the stage for a distinguished academic and research career.

๐Ÿ† Professional Endeavors

Prof. Salemโ€™s professional trajectory spans multiple prestigious institutions. Since 1987, she has held progressive academic roles at AU, the Asian Institute of Technology (AIT), Hadramout University in Yemen, and Effat University in Saudi Arabia, where she has been an Assistant Professor since 2008. She has also served as the Chair of the Electrical and Computer Engineering Department at Effat University, contributing to curriculum development and accreditation processes such as NCAAA and ABET. Her leadership extends beyond academia, as she has organized international competitions like the IET GCC Robotics Challenge and the World Robot Olympiad, promoting innovation among young engineers.

๐Ÿ”ฌ Contributions and Research Focus

Prof. Salemโ€™s research portfolio is marked by interdisciplinary contributions in medical imaging, artificial intelligence, control systems, and renewable energy. She has pioneered AI-driven applications, including ECG analysis, skin lesion segmentation, and glaucoma detection, enhancing the accuracy of medical diagnostics. Additionally, she has played a crucial role in renewable energy advancements, optimizing solar power generation and thermoelectric systems. Her expertise in robotics and control engineering is evident in her work on PID and LQR controllers for performance enhancement in automation and energy-efficient designs.

๐ŸŒ Impact and Influence

Prof. Salemโ€™s influence extends beyond her research, as she actively mentors students, supervises masterโ€™s and Ph.D. theses, and collaborates with international researchers. Her dedication to fostering innovation has resulted in students winning prestigious awards, including a bronze medal at the 49th International Exhibition in Geneva. She has also contributed significantly to the academic community through her editorial roles and peer-reviewing for high-impact journals. Her recognition includes the Queen Effat Award for Teaching Excellence (2019-2020, 2022-2023) and a UK Fellowship for teaching excellence, affirming her commitment to quality education and research.

๐Ÿ“š Academic Citations and Publications

Prof. Salemโ€™s research is well-documented in reputable journals and conferences. She has published extensively in IEEE Transactions on Medical Imaging, PLOS ONE, Sensors, and IEEE Access, with a strong presence in high-impact publications. Her work is widely cited, reflecting its significance in medical imaging, artificial intelligence, and renewable energy. Her research contributions are accessible via Google Scholar and the AD Scientific Index 2024, demonstrating her academic reach and influence.

๐Ÿ’ก Technical Skills and Expertise

Prof. Salem possesses a diverse technical skill set, encompassing AI-driven signal and image processing, robotics, logic design, and renewable energy optimization. She has expertise in developing machine learning models for medical diagnostics, implementing control strategies for automation, and designing CMOS-based circuits. Her ability to integrate interdisciplinary approaches has made her a sought-after researcher in multiple domains, from biomedical engineering to energy-efficient systems.

๐Ÿ“– Teaching and Mentorship

With over three decades of teaching experience, Prof. Salem has played a pivotal role in shaping the next generation of engineers. She has designed and delivered courses in signal processing, artificial intelligence, control systems, and electronics. Her student-centered approach has been recognized through multiple teaching awards. She actively engages in student mentorship, encouraging innovative research projects and guiding them to success in international competitions and academic publishing.

๐Ÿ”ฎ Legacy and Future Contributions

Prof. Salemโ€™s legacy is defined by her relentless pursuit of innovation and knowledge dissemination. Her research continues to push the boundaries of technology, particularly in AI-driven healthcare and renewable energy systems. She remains committed to mentoring students, expanding research collaborations, and advancing engineering education. Through her leadership, she aims to drive impactful change in medical diagnostics, sustainable energy, and robotics, ensuring a lasting influence in academia and industry.

 

Publications

Artificially Intelligent Detection of Retinal Pigment Sign Using P3S-Net for Retinitis Pigmentosa Analysis

  • Authors: Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan
    Journal: Results in Engineering
    Year: 2025

Causal Speech Enhancement Using Dynamical-Weighted Loss and Attention Encoder-Decoder Recurrent Neural Network

  • Authors: Fahad Khalil Peracha, Abdullah M. Mutawa, Muhammad Irfan Khattak, Nema Salem, Nasir Saleem
    Journal: PLOS ONE
    Year: 2023

Artificial Intelligence-Based Detection of Human Embryo Components for Assisted Reproduction by In Vitro Fertilization

  • Authors: Abeer Mushtaq, Maria Mumtaz, Ali Raza, Nema Salem, Muhammad Naveed Yasir
    Journal: Sensors
    Year: 2022

Automated Diagnosis of Leukemia: A Comprehensive Review

  • Authors: Afshan Shah, Syed Saud Naqvi, Khuram Naveed, Nema Salem, Mohammad A. U. Khan, Khurram S. Alimgeer
    Journal: IEEE Access
    Year: 2021

DAVS-NET: Dense Aggregation Vessel Segmentation Network for Retinal Vasculature Detection in Fundus Images

  • Authors: Mohsin Raza, Khuram Naveed, Awais Akram, Nema Salem, Amir Afaq, Hussain Ahmad Madni, Mohammad A. U. Khan, Mui-zzud-din
    Journal: PLOS ONE
    Year: 2021

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 โ€˜Oโ€™ 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 Girlsโ€™ High School, Bhubaneswar, Odisha, 1988 (84%)

๐Ÿ’ผ Professional Experience

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

๐Ÿ…Awards and Recognitions

  • BEST RESEARCHER: Engineers Day, 2018
  • WOMEN ICON: Womenโ€™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 Paraplรฉjicos, Spain

Profiles

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Summary

Dr. Vinnitsa Buzoianu Anguiano is an accomplished postdoctoral researcher at the Hospital Nacional de Paraplรฉjicos 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 โ€“ Universidad Nacional Autรณnoma de Mรฉxico, 2019
  • Masterโ€™s in Sciences โ€“ Universidad Nacional Autรณnoma de Mรฉxico, 2013
  • Bachelorโ€™s in Biology โ€“ Universidad Simรณn Bolรญvar, 2007

๐Ÿ’ผ 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 Regeneraciรณn Neural.

๐Ÿ”ฌ 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., Garcรญa-Rama, C., Romero-Ramรญrez, 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-Pรฉrez, 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-Pรฉrez, 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: Sรกnchez-Torres, S., Dรญaz-Ruรญz, A., Rรญos, C., Damiรกn-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: Rodrรญguez-Barrera, R., Flores-Romero, A., Buzoianu-Anguiano, V., Juรกrez-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

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๐Ÿ“‹ 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

๐Ÿ’ผ Professionalย 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.

๐Ÿ† 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)

๐Ÿ”ฌ Research and Skillsย 

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-ฮฒ 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 Alzheimerโ€™s Disease
  • Authors: Hojjati, S.H., Babajani-Feremi, A.
  • Journal: Frontiers in Aging Neuroscience
  • Year: 2024

Prediction and Modeling of Neuropsychological Scores in Alzheimerโ€™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-ฮฒ 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, Indiaย 

Profiles

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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. Anneโ€™s P.U. College and SSLC from St. Maryโ€™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."

ย 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