Jianfeng Qiao | Accident Analysis | Best Researcher Award

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Mr. Jianfeng Qiao | Accident Analysis | Best Researcher Award

Associate Professor at Capital University of Economics and Business, China

Dr. Jianfeng Qiao is an Associate Professor at the School of Management and Engineering, Capital University of Economics and Business (CUEB), Beijing. His research focuses on accident analysis and safety risk early warning using advanced machine learning and artificial intelligence technologies. He has authored influential publications in top-tier international journals and has collaborated globally, including serving as a visiting scholar at Rutgers University, USA. Dr. Qiao’s work bridges engineering management, data science, and safety technology, contributing significantly to the fields of construction safety, risk optimization, and intelligent decision support systems.

Publication Profile 

Scopus

Educational Background 🎓

  • Doctor of Engineering
    Beijing University of Posts and Telecommunications, Beijing, China
    September 2011 – July 2015

  • Visiting Scholar
    Rutgers, The State University of New Jersey, USA
    March 2019 – May 2022
    (Focus: Machine learning applications in accident analysis and safety systems)

Professional Experience 💼

  • Associate Professor
    School of Management and Engineering, Capital University of Economics and Business, Beijing, China
    Dates: Ongoing

    • Teaching courses related to engineering management and safety systems

    • Conducting research in machine learning-driven safety risk assessment and early warning models

    • Supervising graduate students in safety engineering and AI applications

  • Research Collaborator
    Rutgers University, USA (as Visiting Scholar)

    • Conducted collaborative research projects focused on AI in construction accident prevention

    • Developed methods for classifying narrative accident data using deep learning techniques

Research Interests 🔬

  • Accident analysis and prediction using machine learning

  • Early warning systems for safety risks

  • Text mining and natural language processing in safety narratives

  • Entropy-based methods in project management

  • AI applications in construction and industrial safety

  • Resource optimization and scheduling

Conclusion🌟

Dr. Jianfeng Qiao is a committed academic and researcher whose work advances the intersection of machine learning and safety engineering. Through his academic publications and international collaborations, particularly in the area of construction accident prevention, he continues to impact both scholarly communities and practical safety management systems. His expertise and contributions make him a valued expert in AI-driven safety solutions.

Publications 📚

  • 🏗️ Qiao, J., Wang, C., Guan, S., Lv, S. (2022).
    Construction-Accident Narrative Classification Using Shallow and Deep Learning.
    Journal of Construction Engineering and Management, 148(9), 04022088.
    🔗 https://doi.org/10.1061/(ASCE)CO.1943-7862.0002354
    ✨ Used machine learning techniques to classify construction accident narratives.

  • ⚙️ Qiao, J., Li, Y. (2018).
    Resource Leveling Using Normalized Entropy and Relative Entropy.
    Automation in Construction, 87, 263–272.
    🔗 https://doi.org/10.1016/j.autcon.2017.12.022
    📊 Introduced entropy-based methods for efficient resource scheduling in construction.

 

 

 

 

Yiyun Lin | Orthopedic Surgery | Best Researcher Award

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Dr. Yiyun Lin | Orthopedic Surgery | Best Researcher Award

The 7th Medical Ctr of Pla Gen Hosp, China

Dr. Lin Yiyun, M.D. is a distinguished orthopedic surgeon affiliated with several leading medical centers under the PLA General Hospital system in Beijing, China. He plays a pivotal role in advancing orthopedic care, particularly in the domains of sports medicine and rehabilitation. Through his clinical practice and research collaborations, Dr. Lin contributes extensively to orthopedic innovation and excellence in patient outcomes.

Publication Profile 

Orcid

Educational Background 🎓

  • Doctor of Medicine (M.D.),
    Second Military Medical University (now Naval Medical University), Shanghai, China
    Graduated: [Year]
    (One of China’s premier military medical institutions, specializing in clinical and surgical training)

  • Residency in Orthopedic Surgery,
    PLA General Hospital (301 Hospital), Beijing, China
    Completed: [Year]

  • Advanced Clinical Fellowship in Orthopedic Surgery and Sports Medicine,
    National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing, China
    Completed: [Year]

Professional Experience 💼

  • Senior Orthopedic Surgeon, Department of Orthopedic Surgery, Seventh Medical Center of PLA General Hospital, Beijing, China

  • Consultant Orthopedic Surgeon, Senior Department of Orthopedics, Fourth Medical Center of PLA General Hospital, Beijing, China

  • Clinical Researcher, National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, Beijing, China

Dr. Lin holds simultaneous appointments in both clinical and research settings, where he provides specialized care and leads initiatives focused on orthopedic advancements and rehabilitation methods.

Research Interests 🔬

  • Advanced surgical techniques in orthopedic surgery

  • Sports injuries and musculoskeletal trauma management

  • Joint reconstruction and minimally invasive procedures

  • Rehabilitation protocols for orthopedic patients

  • Clinical research and translational medicine in orthopedics

  • National and international collaboration on orthopedic innovation

Conclusion🌟

Dr. Lin Yiyun is a leading expert in orthopedic surgery within China’s top-tier medical infrastructure. His work at the Seventh and Fourth Medical Centers of the PLA General Hospital, coupled with his role at the National Clinical Research Center, underscores his dedication to clinical excellence and research-driven care. As an orthopedic physician deeply involved in surgical innovation and sports medicine, Dr. Lin continues to shape the future of musculoskeletal health in China and beyond.

Publications 📚

  • 📘 Evaluating Fibular Intramedullary Nails vs Traditional Plating in Geriatric Ankle Fractures
    Foot & Ankle International, Aug 2024
    DOI: 10.1177/10711007241247849
    👥 Authors: Yiyun Lin, Jie Gao, Huayong Zheng, Yongzhi Guo, Zhi Liu, Tiansheng Sun

  • 📙 Effects of Ramosetron on Nausea and Vomiting Following Spinal Surgery: A Meta-Analysis
    Current Therapeutic Research, 2022
    DOI: 10.1016/j.curtheres.2022.100666
    👥 Authors: Yiyun Lin, Sun Tiansheng, Zhang Zhicheng, Chen Xiaobin, Li Fang

  • 📗 Percutaneous Endoscopic Lumbar Discectomy on L5-S1: Comparison of Modified Knee-Chest and Prone Position
    Chinese Medical Journal, Nov 2018
    DOI: 10.4103/0366-6999.244122 | PMID: 30381595
    👥 Authors: Ren DJ, Lin YY, Du P, Zhang ZC, Wang XN, Li F

  • 📘 A 20-Year Study on Treating Childhood Infective Endocarditis with Valve Replacement
    Journal of Thoracic Disease, Jul 2016
    DOI: 10.21037/jtd.2016.06.15 | PMID: 27499950
    👥 Authors: Xiao J, Yin L, Lin Y, Zhang Y, Wu L, Wang Z

  • 📙 Efficiency of Different Annuloplasty in Treating Functional Tricuspid Regurgitation
    International Journal of Cardiology: Heart & Vasculature, Nov 2014
    DOI: 10.1016/j.ijcha.2014.10.013 | PMID: 28785607
    👥 Authors: Lin Y, Wang Z, Jia He, Xu Z, Xiao J, Zhang Y, Peng H

  • 📕 Dexmedetomidine for Post-Cardiac Surgery Sedation: A Meta-analysis
    Critical Care, Sep 2012
    DOI: 10.1186/cc11646 | PMID: 23016926
    👥 Authors: Lin YY, He B, Chen J, Wang ZN

  • 📗 Treating Constrictive Pericarditis: A 5-Year Chinese Single-Center Study
    The Annals of Thoracic Surgery, Jul 2012
    DOI: 10.1016/j.athoracsur.2012.05.002 | PMID: 22795055
    👥 Authors: Lin Y, Zhou M, Xiao J, Wang B, Wang Z

  • 📘 Meta-analysis of Factors Influencing Delirium Following Cardiac Surgery
    Journal of Cardiac Surgery, Jul 2012
    DOI: 10.1111/j.1540-8191.2012.01472.x | PMID: 22784203
    👥 Authors: Lin Y, Chen J, Wang Z

Yangyang Shu | Low-supervised Learning | Best Researcher Award

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Dr. Yangyang Shu | Low-supervised Learning | Best Researcher Award

Associate Lecturer at University of New South Wales, Australia

Yangyang Shu is a computer science researcher specializing in machine learning and artificial intelligence, with a current appointment as Associate Lecturer at the University of New South Wales (UNSW). His research spans self-supervised learning, domain adaptation, privileged information, and their applications in areas like fine-grained visual recognition and music understanding. With a strong academic background from institutions in China and Australia, he has published extensively in top-tier venues (CVPR, IJCAI, ECCV) and actively contributes to peer review for A* conferences and journals. Yangyang is also skilled in symbolic music generation and performance modeling, especially in the context of large language models.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Engineering & Information Technology
    University of Technology Sydney (UTS), Australia
    Duration: July 2018 – November 2021
    Supervisor: Prof. Guandong Xu

  • M.Sc. in Computer Science
    University of Science and Technology of China (USTC)
    Duration: September 2015 – July 2018
    Supervisor: Prof. Shangfei Wang

  • B.Sc. in Computer Science
    Anhui University (AHU)
    Duration: September 2011 – July 2015

Professional Experience 💼

  • Associate Lecturer
    University of New South Wales (UNSW), School of Systems and Computing
    March 2025 – Present
    Supervisor: Prof. Roland Göcke

  • Research Fellow
    University of Adelaide, Australian Institute for Machine Learning (AIML)
    December 2021 – December 2024
    Supervisor: A/Prof. Lingqiao Liu

  • Academic Supervision
    Unofficially supervised 1 PhD student, 3 master’s students, and 2 undergraduates at USTC, UTS, Adelaide, and UNSW.

  • Teaching Experience

    • ZEIT 2103 – Data Structures and Representation, 2025 Semester 1

    • ZEIT 1112 – Introduction to Programming, 2025 Semester 2

Research Interests 🔬

  • Core Areas:

    • Machine Learning (Self/Semi-Supervised Learning)

    • Unsupervised Domain Adaptation

    • Learning with Privileged Information

    • Multi-task Learning and Fine-Grained Visual Recognition

    • Music Emotion Recognition and Aesthetic Assessment

  • Recent Research Focus:

    • Rationale-Guided Learning: Developing regularizations based on prediction rationale to improve generalization and data efficiency.

    • Large Language Models for Music: Enhancing training, generation control, and inference for symbolic music generation models.

Awards and Honors🏆✨

  • 🥇 National Scholarship, University of Science and Technology of China (14/150) – 2017

  • 🏅 Outstanding Graduate, USTC – 2018 (17/150)

  • 🎓 Excellent Graduate, Anhui Province – 2015 (2/391)

  • 🧮 Second Prize, National College Student Mathematics Competition – 2014

Conclusion🌟

Yangyang Shu is an emerging leader in artificial intelligence research, particularly in areas intersecting machine learning theory and creative applications like music AI. His consistent contributions to high-impact venues, combined with interdisciplinary research and teaching experience across major institutions in China and Australia, mark him as a promising figure in the AI and computer vision communities. His pursuit of rationale-aware and efficient learning systems shows a clear vision for the next generation of interpretable and human-aligned AI technologies.

Publications 📚

  1. 🎵 MuseBarControl
    Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss
    Yangyang Shu, Haiming Xu, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu
    📄 arXiv:2402.01157, 2024

  2. 🧠 Unlocking the Potential of Pre-trained Vision Transformers
    for Few-Shot Semantic Segmentation through Relationship Descriptors
    Ziqin Zhou, Haiming Xu, Yangyang Shu, Lingqiao Liu
    🎯 CVPR 2024 (⭐ Core Rank A*)

  3. ⚡ MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion
    Wei Hua, Chenlin Zhou, Jibin Wu, Yansong Chua, Yangyang Shu
    🤖 IJCAI 2025 (⭐ Core Rank A*)

  4. 🧩 Learning Common Rationale to Improve Self-Supervised Representation
    for Fine-Grained Visual Recognition Problems
    Yangyang Shu, Anton van den Hengel, Lingqiao Liu
    🎯 CVPR 2023 (⭐ Core Rank A*)

  5. 🔄 Source-Free Unsupervised Domain Adaptation
    with Hypothesis Consolidation of Prediction Rationale
    Yangyang Shu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu
    📄 arXiv:2402.01157, 2024

  6. 📉 Improving Fine-Grained Visual Recognition in Low Data Regimes
    Via Self-Boosting Attention Mechanism
    Yangyang Shu, Lingqiao Liu, Baosheng Yu, Haiming Xu
    🖼️ ECCV 2022 (⭐ Core Rank A*)

  7. 🌇 Semi-Supervised Adversarial Learning
    for Attribute-Aware Photo Aesthetic Assessment
    Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu
    📰 IEEE TMM 2021 (⭐ Core Rank A*)

  8. 🎨 Privileged Multi-Task Learning for Attribute-Aware Aesthetic Assessment
    Yangyang Shu, Qian Li, Guandong Xu
    📘 Pattern Recognition (PR) 2022 (⭐ Core Rank A*)

  9. ➕ V-SVR+: Support Vector Regression with Variational Privileged Information
    Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu
    📰 IEEE TMM 2021 (⭐ Core Rank A*)

  10. 🧪 Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning
    Yangyang Shu, Yulei Sui, Hongyu Zhang, Guandong Xu
    🛠️ ESEM 2020, pp. 1–11 (⭐ Core Rank A)

  11. 🖼️ Learning with Privileged Information for Photo Aesthetic Assessment
    Yangyang Shu, Qian Li, Shaowu Liu, Guandong Xu
    🧮 Neurocomputing 2020, Vol. 404, pp. 304–316 (⭐ Core Rank B)

  12. 🎻 Emotion Recognition from Music Enhanced by Domain Knowledge
    Yangyang Shu, Guandong Xu
    🌊 PRICAI 2019, Fiji, pp. 121–134 (⭐ Core Rank B)

  13. 🧠 Emotion Recognition through Integrating EEG and Peripheral Signals
    Yangyang Shu, Shangfei Wang
    🔊 ICASSP 2017, USA, pp. 2871–2875 (⭐ Core Rank B)

 

 

 

 

Samet Kocabay | Molecular Biology | Best Researcher Award

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Mr. Samet Kocabay | Molecular Biology | Best Researcher Award

İnonu university, Turkey

Asst. Prof. Dr. Samet Kocabay is an academic in the Department of Molecular Biology and Genetics at İnönü University. He specializes in molecular biology, microbial biotechnology, and enzymology. With a strong background in research related to probiotics, enzymes, and bioactive compounds, he has contributed to numerous peer-reviewed journals, including those indexed in SCI and SCI-Expanded. His work involves interdisciplinary studies spanning life sciences, industrial biotechnology, and bioinformatics. He currently serves as the Deputy Head of Department at İnönü University.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Molecular Biology and Genetics
    Sivas Cumhuriyet University, Institute of Science, Turkey (2015–2020)

  • M.Sc. in Molecular Biology and Genetics
    Sivas Cumhuriyet University, Institute of Science, Turkey (2012–2015)
    Thesis: “GAİTA BAKTERİLERİNDEN EKTRASELÜLER AMİLAZ ÜRETİMİ, İZOLASYONU VE KARAKTERİZASYONU”

  • B.Sc. in Molecular Biology and Genetics
    Cumhuriyet University, Faculty of Science, Turkey (2008–2012)

Professional Experience 💼

  • Deputy Head of Department
    İnönü University, Faculty of Arts and Sciences, Department of Molecular Biology and Genetics (2021–Present)

  • Lecturer & Assistant Professor
    İnönü University (Years not specified)

Research Interests 🔬

  • Molecular Biology and Genetics

  • Microbial Biotechnology

  • Enzymology

  • Bioinformatics

  • Biochemistry

  • Industrial Biotechnology

  • Molecular Biology of Cancer

  • Life and Health Sciences

  • Probiotics and functional foods

Conferences & Presentations

  • Multiple oral and poster presentations at international conferences such as EurasianBioChem and Türk-Pak Conference on Chemical Sciences (2017–2020), covering topics like:

    • Probiotic potential of Lactobacillus strains

    • Bioinformatics tools (e.g., Perl-based algorithms for protein functional site prediction)

    • Enzyme tolerance to solvents

Certificates and Trainings

  • Education Management and Planning, İnönü University (2016)

  • HPLC Analysis Methods and Applications, İnönü University (2016)

  • Animal Experimentation and Breeding, İnönü University (2014)

Foreign Language Skills

  • English – B2 (Upper Intermediate)

Conclusion🌟

Asst. Prof. Dr. Samet Kocabay is an accomplished scientist with a multidisciplinary research portfolio centered around molecular microbiology and biotechnology. His academic journey from Cumhuriyet University to İnönü University showcases a consistent focus on the biochemical and functional properties of microbial compounds, particularly probiotics and enzymes. His contributions to scientific literature, involvement in department leadership, and active conference participation underline his commitment to advancing molecular biology and genetics both nationally and internationally.

Publications 📚

  1. 📄 Chemical and biological characterization of sulfated chitosan oligomer as heparin mimics
    🔬 Polymers & Polymer Composites, 2021
    👥 Kocabay, S., Yıldız, M., Genç, R.

  2. 📄 Probiotic Properties of a Lactobacillus fermentum Isolated from New-born Faeces
    🧫 Journal of Oleo Science, 2020
    👥 Kocabay, S., Genç, R.

  3. 📄 Preparation of sulfatide mimicking oleic acid sulfated chitosan
    🧬 International Journal of Biological Macromolecules, 2020
    👥 Kocabay, S., Yıldız, M., Genç, R.

  4. 📄 Production, purification, and characterization of metalloprotease from Candida kefyr 41 PSB
    🔍 International Journal of Biological Macromolecules, 2017
    👥 Kocabay, S., Genç, R.

  5. 📄 Characterization of thermostable beta-amylase isozymes from Lactobacillus fermentum
    🔬 International Journal of Biological Macromolecules, 2016
    👥 Kocabay, S., Genç, R.

  6. 📄 Screening of probiotic properties of Bacillus licheniformis isolated from yoghurt
    🧪 Cumhuriyet Science Journal (CSJ), 2023
    👥 Kocabay, S.

  7. 📄 Investigation of probiotic properties of Lactobacillus fermentum
    🔍 International Journal of Life Sciences and Biotechnology, 2020
    👥 Kocabay, S.

  8. 🎙️ Probiotic potential of Lactobacillus fermentum strain
    📍 3rd International EurasianBioChem Congress, Malatya, 2020

  9. 🧬 Bioinformatics algorithm for protein functional site prediction using Perl
    📍 3rd International Congress on Applied Biology, Iğdır, 2019

  10. 🔬 Evaluation of protease enzyme tolerance to solvents
    📍 2nd Türk-Pak Conference on Chemical Sciences, Malatya, 2019

 

 

 

 

 

S Muhammad Ahmed Hassan Shah | Computer Vision | Best Researcher Award

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Mr. S Muhammad Ahmed Hassan Shah | Computer Vision | Best Researcher Award

Research Scholar at Central South University, Pakistan

Syed Muhammad Ahmed Hassan Shah is a multidisciplinary AI engineer and researcher specializing in 3D computer vision, digital twins, and AI applications in both civil infrastructure and healthcare. He holds a BS in Computer Science from COMSATS University Islamabad and is currently pursuing an MPhil in Civil Engineering at Central South University, China. His experience includes roles as an AI engineer in railway infrastructure monitoring and medical imaging diagnostics, with a focus on smart transportation systems, predictive maintenance, and deep learning. He is a senior member of the American Society of Civil Engineers (ASCE) and has led and participated in multiple AI-focused workshops and summits.

Publication Profile 

Google Scholar

Educational Background 🎓

  • Master of Philosophy (MPhil), Civil Engineering – Smart Infrastructure Management
    Central South University (CSU), Changsha, China
    Duration: Sep 2024 – Present
    Focus Areas: AI in Transportation, Infrastructure Monitoring, Digital Twins
    CSU Website

  • Bachelor of Science (BSCS), Computer Science
    COMSATS University Islamabad (Attock Campus), Pakistan
    Duration: Jul 2018 – Jul 2022
    COMSATS Website

Professional Experience 💼

AI Engineer (Research Assistant)

Center for Railway Infrastructure Smart Monitoring and Management, CSU
Duration: Sep 2024 – Present | Location: Changsha, China

  • Application of AI, IoT, and 3D computer vision to monitor high-speed rail infrastructure (tracks, tunnels, fasteners).

AI Engineer (Developer)

NeuroCare.AI
Duration: Jun 2024 – Sep 2024 | Location: Remote (USA-based)

  • Developed AI solutions for medical imaging, particularly in breast cancer and brain hemorrhage detection.

Computer Vision Expert (Research Assistant)

NCAI-MIDL Lab, COMSATS University Islamabad
Duration: Oct 2022 – Jul 2023 | Location: Islamabad, Pakistan

  • Focused on MRI, CT, X-ray, Ultrasound imaging using deep learning for automated diagnosis tools.

Research Interests 🔬

  • Artificial Intelligence & Deep Learning

  • 3D Computer Vision & Point Cloud Processing

  • Digital Twins & Predictive Maintenance for Infrastructure

  • Multimodal Learning and Fusion

  • Natural Language Processing (NLP) & Generative AI

  • Medical Imaging Diagnostics & Explainable AI

  • Smart Transportation Systems & Structural Health Monitoring

Awards and Honors🏆✨

  • 🏆 Senior Member, American Society of Civil Engineers (ASCE)
    Awarded: Oct 2024
    Also affiliated with Transportation and Development Institute (T&DI) of ASCE
    View Certificate Folder

  • 🧠 Trainer – Mastering AI in 5 Days Workshop
    Conducted: Feb 2023, COMSATS Islamabad (HEC & MIDL-supported)
    Hands-on workshop training on real-world AI applications.
    Workshop Certificate

  • 🧬 AI Healthcare Summit – FAST NUCES Islamabad
    Participated: Jan 2023
    Collaborated with SLOSH AI-SOLUTIONS and MIDL Lab.
    Summit Certificate

Conclusion🌟

Ahmed Hassan is a multidisciplinary AI engineer and researcher actively engaged in bridging the domains of civil infrastructure and intelligent computing. With strong foundations in computer science and advanced research in civil engineering, he continues to push the boundaries of how AI, 3D vision, and digital twins can solve real-world problems. His contributions span both transportation infrastructure and healthcare diagnostics, making him a versatile innovator dedicated to smart, sustainable, and tech-driven development.

Publications 📚

  1. 🧠 Classifying and localizing abnormalities in brain MRI using channel attention based semi-Bayesian ensemble voting mechanism and convolutional auto-encoder
    ✍️ SMAH Shah, A Ullah, J Iqbal, S Bourouis, SS Ullah, S Hussain, MQ Khan, …
    📘 IEEE Access, Vol. 11, pp. 75528–75545, 2023.
    🔗 Cited by: 23

  2. 🗣️ Arabic sentiment analysis and sarcasm detection using probabilistic projections-based variational switch transformer
    ✍️ SMAH Shah, SFH Shah, A Ullah, A Rizwan, G Atteia, M Alabdulhafith
    📘 IEEE Access, Vol. 11, pp. 67865–67881, 2023.
    🔗 Cited by: 22

  3. 🩺 CADFU for dermatologists: A novel chronic wounds & ulcers diagnosis system with DHuNeT (Dual-Phase Hyperactive UNet) and YOLOv8 algorithm
    ✍️ SMAH Shah, A Rizwan, G Atteia, M Alabdulhafith
    📘 Healthcare, Vol. 11(21), Art. 2840, 2023.
    🔗 Cited by: 11

  4. 🧠 Computer-aided diagnosis of Alzheimer’s disease and neurocognitive disorders with multimodal Bi-Vision Transformer (BiViT)
    ✍️ SMAH Shah, MQ Khan, A Rizwan, SU Jan, NA Samee, MM Jamjoom
    📘 Pattern Analysis and Applications, Vol. 27(3), Art. 76, 2024.
    🔗 Cited by: 10

  5. 🧱 Multimodal Fusion Network for Crack Segmentation with Modified U-Net and Transfer Learning–Based MobileNetV2
    ✍️ S Qiu, Q Zaheer, H Ehsan, SMAH Shah, C Ai, J Wang, AA Zheng
    📘 Journal of Infrastructure Systems, Vol. 30(4), Art. 04024029, 2024.
    🔗 Cited by: 4

  6. 🔬 A Hybrid Neuro-Fuzzy Approach for Heterogeneous Patch Encoding in ViTs Using Contrastive Embeddings and Deep Knowledge Dispersion
    ✍️ SMAH Shah, MQ Khan, YY Ghadi, SU Jan, O Mzoughi, M Hamdi
    📘 IEEE Access, Vol. 11, pp. 83171–83186, 2023.
    🔗 Cited by: 3

  7. ⚖️ JusticeAI: A Large Language Models Inspired Collaborative & Cross-Domain Multimodal System for Automatic Judicial Rulings in Smart Courts
    ✍️ NA Samee, M Alabdulhafith, SMAH Shah, A Rizwan
    📘 IEEE Access, 2024.
    🔗 Cited by: 2

  8. 🔐 A transparent captchas verification system for cloud-based smart and secure applications
    ✍️ SFH Shah, SMAH Shah, SS Ullah, N Yingta
    📘 IEEE ISC2 Conference, 2023, pp. 1–5.
    🔗 Cited by: 2

  9. 🚦 Traffic Forecasting & Route Optimization in Smart Environment Using Graph Representation Learning
    ✍️ SMAH Shah, SFH Shah, S Hussain, KS Turrakheil
    📘 IEEE ISC2 Conference, 2023, pp. 1–5.
    🔗 Cited by: 2

  10. 🧱 Intelligent Multitasking Framework for Boundary-Preserving Semantic Segmentation, Width Estimation, and Propagation Modeling of Concrete Cracks
    ✍️ Q Zaheer, S Qiu, SMAH Shah, C Ai, J Wang
    📘 Journal of Infrastructure Systems, Vol. 31(3), Art. 04025009, 2025.

 

 

 

 

Xiaorui Yang | Robotics and Automation | Best Researcher Award

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Assoc. Prof. Dr. Xiaorui Yang | Robotics and Automation | Best Researcher Award

Hebei University of Science and Technology, China

Dr. Yang Xiaorui is an Associate Professor and Master’s Supervisor in the field of Electrical Engineering at Hebei University of Science and Technology. With a strong background in engineering electromagnetics and magnetic technology, Dr. Yang has significantly contributed to research on nano magnetic fluids, digital twin modeling, and their applications in energy harvesting, vibration damping, positioning systems, and biomedical engineering. She has authored multiple peer-reviewed papers in SCI and EI-indexed journals and has actively led and participated in several national and provincial research projects.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Electrical Engineering, Hebei University of Technology, 2018

Professional Experience 💼

  • Associate Professor, Hebei University of Science and Technology

  • Master’s Supervisor, Department of Electrical Engineering

  • Leading and participating in national and provincial scientific research projects focused on magnetic fluids and electromagnetic applications.

Research Interests 🔬

  • Engineering Electromagnetic Fields

  • Nano Magnetic Liquid Technology

  • Digital Twin Technology for Power Equipment

  • Energy Harvesting Technologies

  • Magnetic Fluid Applications in:

    • Friction-based power generation systems

    • Vibration damping and shock absorption

    • Precision positioning systems

    • Tumor hyperthermia treatments

    • Multi-physics field coupling and simulation modeling

Major Research Projects

  1. NSFC Youth Project (52307010) – Research on energy transfer in magnetic liquid friction-electromagnetic composite systems (2024–2026) – Project Leader

  2. Hebei Provincial NSF Youth Project (E2020208039) – Friction nano electromagnetic vibration energy harvesting using magnetic liquid (2020–2022) – Project Leader

  3. NSFC General Project (51877066) – Tuned liquid damping method using magnetic liquid for wind power towers (2019–2022) – Fourth participant

  4. Hebei Provincial NSF General Project (E2015202241) – Experimental research on magnetic liquid damping shock absorbers (2015–2017) – Third contributor

Awards and Honors🏆✨

  • Recipient of National Natural Science Foundation of China Youth Project Grant

  • Recipient of Hebei Provincial Natural Science Foundation Youth Project Grant

  • Recognized for significant contributions to multiphysics modeling and magnetic fluid applications in both academic and industrial settings.

Conclusion🌟

Dr. Yang Xiaorui is a dynamic and innovative researcher in the field of electrical engineering, particularly known for her pioneering work on nano magnetic fluids and electromagnetic energy systems. Her work bridges theoretical modeling, simulation, and experimental validation, pushing the boundaries of electromagnetic applications in sustainable energy, smart equipment, and medical technologies. With a growing number of high-impact publications and successful project leadership, she continues to advance cutting-edge research and mentor the next generation of engineers and scientists.

Publications 📚

  1. 🔋 “Output Characteristics of an Electromagnetic-Triboelectric Hybrid Energy Harvester Based on Magnetic Liquid”
    👩‍🔬 Yang Xiaorui, Zheng Hao, Shao Jinlong, Zhang Yan, Chen Ying
    📰 ACS Applied Electronic Materials, 2023, 5(2): 775–783
    📌 Indexed in SCI ✅

  2. 🌊 “Effect of Magnetic Field on Output Performance of Magnetic Liquid Vibration Energy Harvester”
    👩‍🔬 Yang Xiaorui, Chen Ying, Zhang Yan, Yang Wenrong
    📰 COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2023, 42(1): 38–47
    📌 Indexed in SCI ✅

  3. ⚡ “Study on Mechanical-Electrical Coupling Mechanism of Magnetic Liquid Triboelectric-Electromagnetic Composite Energy Harvester”
    👩‍🔬 Yang Xiaorui, Zheng Hao, Long Hui, An Guoqing, Yang Wenrong
    📰 Proceedings of the CSEE, 2024, 44(11): 4406–4417
    📌 Indexed in EI 📈

  4. 🎯 “A Tuned Triboelectric Nanogenerator Using a Magnetic Liquid for Low-Frequency Vibration Energy Harvesting”
    👩‍🔬 X. R. Yang, H. Zheng, H. B. Ren, et al.
    📰 Nanoscale, 2024, 16(4): 1915–1923
    📌 Indexed in SCI ✅

  5. 🛰️ “Analysis of Adjustable Magnetic Fluid Damper in DC Magnetic Field for Spacecraft Applications”
    👩‍🔬 Xiaorui Yang, Qingxin Yang, Wenrong Yang, Bing Guo, Lifei Chen
    📰 IEEE Transactions on Applied Superconductivity, 2018, 28(3): 0602305
    📌 Indexed in SCI ✅

  6. 🛠️ “Damping Analysis and Experimental Study of Piston-Type Magnetic Liquid Shock Absorber”
    👩‍🔬 Yang Xiaorui, Yang Qingxin, Guo Bing, Chen Lifei, Yang Wenrong
    📰 Journal of Instrumentation, 2017, 38(8): 2071–2077
    📌 Indexed in EI 📈

  7. 🧲 “Magnetic Field Design and Temperature Distribution Study of Magnetic Fluid Tumor Hyperthermia”
    👩‍🔬 Yang Xiaorui, Yang Wenrong, Yang Qingxin, Liu Dan
    📰 Functional Materials, 2017, 48(10): 10089–10093
    📌 Indexed in SCI ✅

 

 

 

Mansoor Ali Darazi | ELT | Best Researcher Award

Published on by Innovation Technologist

Assist. Prof. Dr. Mansoor Ali Darazi | ELT | Best Researcher Award

Assistant Professor at Benazir Bhutto Shaheed University Lyari, Pakistan

Dr. Mansoor Ali Darazi is an experienced English language educator and researcher with over two decades of progressive academic involvement at both secondary and tertiary levels. Currently serving as an Assistant Professor at Benazir Bhutto Shaheed University, Lyari, Karachi, he holds a Ph.D. in Education with a specialization in English Language Teaching (ELT) and is pursuing a second doctorate in English Linguistics. His scholarly work explores the intersections of teaching methodology, student motivation, academic engagement, institutional autonomy, and leadership in education. He has published extensively in HEC-recognized journals and maintains a strong presence in academic circles through conference participation and curriculum innovation.

Publication Profile 

Google Scholar

Educational Background 🎓

  • Ph.D. (English Linguistics) – University of Sindh, Jamshoro (2023–2026, In Progress)

  • Ph.D. (Education, ELT) – Iqra University, Karachi (2022)

  • M.Phil. (Education, ELT) – Iqra University, Karachi (2014)

  • Bachelor of Arts (B.A.) – Shah Abdul Latif University, Khairpur (1997)

Professional Experience 💼

Benazir Bhutto Shaheed University, Lyari, Karachi

  • Assistant Professor, Education (2022–Present)

  • Lecturer, Education (2019–2022)

  • Lecturer, English (2015–2019)

Army Public School, Saddar, Karachi

  • O-Level English Language Teacher & Academic Coordinator (2011–2015)

Other Teaching Positions

  • Part-Time Tutor, Allama Iqbal Open University (2009–2011)

  • Lecturer in English, Pakistan Marine Academy (2008–2009)

  • Lecturer in English, Bahria Foundation College (2005–2008)

  • Lecturer in English, Govt. Islamia Science College (2004–2005)

  • Lecturer in English, Ronaq-e-Islam College for Women (2003–2004)

  • English Teacher, Mazhar Muslim Model Higher Secondary School (1997–2003)

Research Interests 🔬

  • English Language Teaching (ELT) Methodologies

  • Academic Engagement and Motivation in EFL/ESL Contexts

  • Educational Leadership and Institutional Autonomy

  • Writing Proficiency and Student Satisfaction

  • Curriculum Development and Assessment in Higher Education

  • Teacher Feedback and Student Achievement

  • Impact of Organizational Culture and Change Management in Academia

Awards and Honors🏆✨

  • Teacher Development Certificate, Education First (2022)

  • Certificate in Academic & Report Writing, AKU-IED, Karachi (2018)

  • Professional Memberships:

    • International Confederation of Worldwide Principals

    • AKU-IED Research Network

    • IELTA Pakistan

    • Society of Pakistan English Language Teachers (SPELT)

Conclusion🌟

Dr. Mansoor Ali Darazi stands out as a versatile and dedicated academic professional committed to excellence in English language teaching and educational research. His dynamic career path, marked by consistent professional growth and impactful scholarship, reflects a commitment to fostering innovation, inclusivity, and intellectual curiosity among students and peers alike. He continues to contribute meaningfully to Pakistan’s academic landscape, combining pedagogical strength with a progressive research outlook.

Publications 📚

📘 The Impact of ESL Teachers’ Emotional Intelligence on ESL Students’ Academic Engagement, Reading and Writing Proficiency: Mediating Role of ESL Students’ Motivation
👥 AK Khoso, MA Darazi, KA Mahesar, MA Memon, F Nawaz
📰 International Journal of Early Childhood Special Education, Vol. 14, pp. 3267–3280
📅 2022 | 🔁 Cited by: 17

📝 Key Factors Influencing Creative Writing Skill: Students’ Perceptions in an ELT Context at Higher Education Level
👥 MA Darazi, I Saad, S Adil
📰 Pakistan Journal of Educational Research, Vol. 4(3)
📅 2021 | 🔁 Cited by: 12

💬 The Role of Feedback in Enhancing Creative Writing Skills in ELT Contexts
👥 N Fatima, M Ehsan, MA Darazi, A Majeed, AA Chaudhary
📰 Remittances Review, Vol. 9(3), pp. 350–368
📅 2024 | 🔁 Cited by: 10

🎯 Investigating the Effects of ESL Teachers’ Feedback on ESL Undergraduate Students’ Level of Motivation, Academic Performance, and Satisfaction: Mediating Role of Students’ Motivation
👥 MA Darazi, AK Khoso, KA Mahesar
📰 Pakistan Journal of Educational Research, Vol. 6(2)
📅 2023 | 🔁 Cited by: 10

🌍 The Correlation Between English Language Proficiency and Perceived Career Opportunities: Empirical Analysis
👥 D Malokani, S Kazi, SP Chandio, SN Mumtaz, MA Darazi, NS Farooqui
📰 Remittances Review, Vol. 8(4), pp. 4818–4827
📅 2023 | 🔁 Cited by: 7

📱 The Impact of Political Marketing Through Social Media on Voters’ Involvement, Satisfaction and Loyalty: Youth Pakistani Voters’ Perceptions
👥 KA Mahesar, MA Darazi, AK Khoso
📰 Pakistan Journal of International Affairs, Vol. 4(4)
📅 2021 | 🔁 Cited by: 5

🌱 Impact of Green Training and Green Employee Involvement Behavior on Environmental Performance: Role of Green Employee Behavior
👥 D Malokani, T Kumar, N Hassan, SN Mumtaz, N Qazi, MA Darazi
📰 Kurdish Studies, Vol. 12(5), pp. 01–07
📅 2024 | 🔁 Cited by: 4

🏢 Impact of Organizational Culture on Entrepreneurial Orientation: Role of Organizational Commitment
👥 D Malokani, D Junejo, TR Makhdoom, SN Mumtaz, N Qazi, MA Darazi
📰 Migration Letters, Vol. 21(S7), pp. 1048–1057
📅 2024 | 🔁 Cited by: 4

🖋️ The Impact of Writing Anxiety, Writing Achievement Motivation, Writing Self-Efficacy and Reading Habits on Pakistani Undergraduate English Major Students’ Writing Performance
👥 A Majeed, AK Khoso, MA Darazi, S Fatima
📰 International Journal of Early Childhood Special Education, Vol. 14(4)
📅 2022 | 🔁 Cited by: 4

🎓 Impact of EFL Teachers’ Teaching Style on Students’ Academic Performance and Satisfaction: Evidence from Public Sector Universities of Karachi
👥 MA Darazi, AK Khoso, KA Mahesar
📰 Benazir Research Journal of Humanities and Social Sciences, Vol. 1(1)
📅 2022 | 🔁 Cited by: 3

🌿 The Green HRM Impact on Employees’ Environmental Commitment: Mediating Effect of Organizational Pride
👥 DKAK Malokani, SN Mumtaz, D Junejo, DH Shaikh, N Hassan, MA Darazi, …
📰 Metallurgical and Materials Engineering, Vol. 30(4), pp. 470–480
📅 2024 | 🔁 Cited by: 2

Dong Liu | Data Driven Control | Best Researcher Award

Published on by Innovation Technologist

Prof. Dong Liu | Data Driven Control | Best Researcher Award

Deputy Director of Provincial Key Laboratory at Shenyang Aerospace University, China

Dong Liu is an Associate Professor at the College of Automation, Shenyang Aerospace University, China. He is a leading researcher in the field of control theory and engineering, especially recognized for his work on data-driven control, model-free adaptive control, and secure control systems. He plays active roles in various national technical committees related to automation, command and control, and artificial intelligence.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Control Theory and Control Engineering,
    Northeastern University, China — 2018

Professional Experience 💼

  • Associate Professor,
    College of Automation, Shenyang Aerospace University

  • Deputy Director,
    Liaoning Provincial Key Laboratory of Advanced Flight Control and Simulation Technology

  • Recognized as a High-Level Talent by Shenyang Municipality

Committee Roles:

  • Committee Member, Technical Committee on Data-Driven Control, Learning, and Optimization (Chinese Association of Automation)

  • Committee Member, Technical Committee on Intelligent Control and Systems (Chinese Command and Control Association)

  • Committee Member, Technical Committee on Intelligent Detection and Motion Control Technology (Chinese Association for Artificial Intelligence)

Research Interests 🔬

  • Data-Driven Control

  • Model-Free Adaptive Control (MFAC)

  • Secure Control Systems

  • Sliding Mode Control

  • Cyber-Physical Systems

  • Prescribed Performance Control

  • Aerospace Control Applications

  • Event-Triggered and Reinforcement Learning-based Control

Awards and Honors🏆✨

  • Recognized as High-Level Talent by the Shenyang Municipality

  • Appointed Deputy Director of a Provincial Key Laboratory

  • Holds Multiple Technical Committee Memberships in prestigious national associations

Conclusion🌟

Dr. Dong Liu is an influential scholar in control engineering, especially in data-driven and model-free adaptive control systems with an emphasis on robustness, security, and real-time applications in aerospace and cyber-physical systems. His high-impact journal publications and leadership roles in national technical committees underline his strong academic and technical contributions. He is actively shaping the future of intelligent control in China and internationally.

Publications 📚

📘 Data-driven second-order iterative sliding mode control for cyber–physical systems under prescribed performance and DoS attacks
✍️ Yijie Yang, Dong Liu, Xin Wang, Zhujun Wang
🗞️ Journal of Process Control, June 2025
🔗 DOI: 10.1016/j.jprocont.2025.103422

📘 Prescribed performance based data-driven adaptive sliding mode control for discrete-time nonlinear systems
✍️ Dong Liu, Yi-Jie Yang, Li-Ying Hao
🗞️ Journal of the Franklin Institute, March 2024
🔗 DOI: 10.1016/j.jfranklin.2024.01.021

📘 Data-Driven Bipartite Consensus Tracking for Nonlinear Multiagent Systems With Prescribed Performance
✍️ Dong Liu, Zhi-Peng Zhou, Tie-Shan Li
🗞️ IEEE Trans. on Systems, Man, and Cybernetics: Systems, 2023
🔗 DOI: 10.1109/TSMC.2022.3230504

📘 Event‐triggered model‐free adaptive control for nonlinear systems with output saturation
✍️ Dong Liu, Ning Liu, Tieshan Li
🗞️ Int. Journal of Robust and Nonlinear Control, August 2023
🔗 DOI: 10.1002/rnc.6747

📘 Data-Driven Adaptive Sliding Mode Control of Nonlinear Discrete-Time Systems With Prescribed Performance
✍️ Dong Liu, Guang-Hong Yang
🗞️ IEEE Trans. on Systems, Man, and Cybernetics: Systems, December 2019
🔗 DOI: 10.1109/TSMC.2017.2779564

📘 Prescribed Performance Model-Free Adaptive Integral Sliding Mode Control for Discrete-Time Nonlinear Systems
✍️ Dong Liu, Guang-Hong Yang
🗞️ IEEE Trans. on Neural Networks and Learning Systems, July 2019
🔗 DOI: 10.1109/TNNLS.2018.2881205

📘 Model-Free Adaptive Control Design for Nonlinear Discrete-time Processes with Reinforcement Learning Techniques
✍️ Dong Liu
🗞️ International Journal of Systems Science, July 2018
🔗 [Link not provided]

📘 Performance-based data-driven model-free adaptive sliding mode control for a class of discrete-time nonlinear processes
✍️ Dong Liu
🗞️ Journal of Process Control, June 2018
🔗 [Link not provided]

📘 Data-Driven Adaptive Sliding Mode Control of Nonlinear Discrete-Time Systems With Prescribed Performance
✍️ Dong Liu
🗞️ IEEE Trans. on Systems, Man, and Cybernetics: Systems, November 2017
🔗 [Link not provided]

📘 Event-based model-free adaptive control for discrete-time non-linear processes
✍️ Dong Liu
🗞️ IET Control Theory & Applications, September 2017
🔗 [Link not provided]

📘 Neural network-based event-triggered MFAC for nonlinear discrete-time processes
✍️ Dong Liu
🗞️ Neurocomputing, July 2017
🔗 [Link not provided]

Samar Said | Catalysis | Best Researcher Award

Published on by Innovation Technologist

Assoc. Prof. Dr. Samar Said | Catalysis | Best Researcher Award

Associate professor at Egyptian Petroleum Research Institute, Egypt

Dr. Samar Said Mohamed Abdelaal is an accomplished Assistant Professor of Inorganic Chemistry at the Catalysts Laboratory, Refining Department, Petroleum Research Institute, Egypt. With a solid academic foundation in chemistry and over a decade of hands-on research experience, Dr. Said has contributed significantly to the development and application of mesoporous and nanoporous catalysts, particularly in the field of petroleum refining and environmental catalysis. Her work emphasizes sustainable chemical processes and advanced materials for catalytic applications.

Publication Profile 

Orcid

Educational Background 🎓

  • Ph.D. in Chemistry – Ain Shams University, Cairo, Egypt (May 2015)
    Thesis: “Nanoporous manganese oxide with cryptomelane structure: Preparation, characterization and catalytic activities”

  • M.Sc. in Chemistry – Cairo University, Egypt (October 2009)
    Thesis: “Synthesis of mesoporous molecular sieves and their use in paraffins hydroconversions”

  • B.Sc. in Chemistry – Cairo University, Egypt (May 2004)

Professional Experience 💼

  • Assistant Professor, Catalysts Laboratory, Petroleum Research Institute
    September 2021 – Present

  • Researcher, Catalysts Laboratory, Petroleum Research Institute
    July 2015 – September 2021

  • Assistant Researcher, Catalysts Laboratory, Petroleum Research Institute
    August 2011 – July 2015

  • Grant Researcher, Academy of Scientific Research and Technology
    March 2006 – March 2009 (During M.Sc. studies at the Petroleum Research Institute)

Research Interests 🔬

  • Design, synthesis, and characterization of mesoporous and nanoporous materials

  • Catalyst development for petroleum refining, hydroconversion, and hydroisomerization

  • Environmental catalysis, including oxidative dehydrogenation and photocatalytic degradation

  • Utilization of transition metal oxides (e.g., manganese oxide, vanadia, ceria) in catalytic reactions

  • Sustainable and eco-friendly chemical processes

Awards and Honors🏆✨

  • Research Grant from the Academy of Scientific Research and Technology (2006–2009), supporting her M.Sc. studies and research at the Petroleum Research Institute.

(Additional awards or recognitions can be added if applicable)

Conclusion🌟

Dr. Samar Said is a dedicated researcher and academic with a strong record of scientific productivity and innovation in the field of inorganic chemistry and catalysis. With over 19 publications in reputable international journals and active participation in key scientific conferences, she continues to push the boundaries of catalytic material design. Her work not only supports technological advancement in petroleum refining but also contributes to the global effort toward cleaner, more sustainable chemical processes. Dr. Said remains committed to both academic excellence and impactful research that bridges science and industry.

Publications 📚

📄 Catalysts for the non-oxidative dehydrogenation of ethanol supported by WO₃-based micro-mesoporous composites
📚 Journal of Physics and Chemistry of Solids, 2025-10
🔗 DOI: 10.1016/j.jpcs.2025.112789
👥 Contributors: S. Said, M. Riad

🔬 Hybridizing silica and Cu₃(BTC)₂ to synthesize copper containing catalysts for ethanol conversion
📚 Journal of Molecular Liquids, 2024-07
🔗 DOI: 10.1016/j.molliq.2024.125062
👥 Contributors: Aya M. Matloob, S. Said

🌞 Facile synthesis of ZnMoO₄/AlPO₄-5 nanorod composites as visible-light-driven photocatalysts and high-performance energy storage materials
📚 RSC Advances, 2022
🔗 DOI: 10.1039/D2RA00268J
👥 Contributors: Delvin Aman, Samira Abdel-Azim, S. Said, Saad G. Mohamed

⚗️ Atomic layer deposition of MoO₃ on mesoporous γ-Al₂O₃ prepared by sol–gel method as efficient catalyst for oxidative desulfurization of refractory dibenzothiophene compound
📚 Journal of Sol-Gel Science and Technology, 2020-08-06
🔗 DOI: 10.1007/s10971-020-05332-w
👥 Contributors: S. Said, Asmaa A. Abdelrahman

🧱 Modernization of the bulk Co₃O₄ to produce meso-porous Co₃O₄ nano-particles with enhanced structural and morphological characteristics
📚 Journal of Porous Materials, 2020-01-02
🔗 DOI: 10.1007/s10934-019-00843-6
👤 Author: Samar Said

🌿 Oxidation of benzyl alcohol through eco-friendly processes using Fe-doped cryptomelane catalysts
📚 Solid State Sciences, 2019-08
🔗 DOI: 10.1016/j.solidstatesciences.2019.05.020
👤 Author: Samar Said

🛢️ Pt/SAPO-11 Catalysts: Effect of Platinum Loading Method on the Hydroisomerization of n-Hexadecane
📚 Catalysis Letters, 2019-08
🔗 DOI: 10.1007/s10562-019-02783-x
👤 Author: Samar Said

🧪 Recent progress in preparations and applications of meso-porous alumina
📚 Materials Science for Energy Technologies, 2019-08
🔗 DOI: 10.1016/j.mset.2019.02.005
👤 Author: Samar Said

🧂 Preparation of different manganese oxide structures via controlling the concentration and the type of the alkaline media
📚 Asian Journal of Nanoscience and Materials, 2019-06
🔗 DOI: 10.26655/ajnanomat.2019.2.3.4
👤 Author: Samar Said

⚛️ Synthesis and functionalization of ordered mesoporous carbons supported Pt nanoparticles for hydroconversion of n-heptane
📚 New Journal of Chemistry, 2018
🔗 DOI: 10.1039/C8NJ02786B
👤 Author: S. Said

💡 Photo-catalytic selective organic transformations by Fe-doped octahedral molecular sieves (manganese oxide) nano-structure
📚 Journal of Asian Ceramic Societies, 2018-04-03
🔗 DOI: 10.1080/21870764.2018.1480686
👤 Author: Samar Said

 

 

 

 

Mihir Parekh | Machine Learning | Best Researcher Award

Published on by Innovation Technologist

Mr. Mihir Parekh | Machine Learning | Best Researcher Award

Research Scholar at Nirma University, India

Mihir Parekh is a passionate and dynamic cybersecurity enthusiast with a strong foundation in computer science, data analytics, and secure system design. With a proven track record of combining machine learning, blockchain, and cybersecurity for impactful solutions, he brings a multidisciplinary approach to solving complex technological challenges. Mihir has demonstrated excellence in both academic and industrial settings, contributing to innovative research in secure systems and earning accolades through peer-reviewed publications.

Publication Profile 

Google Scholar

Educational Background 🎓

  • M.Tech in Computer Science and Engineering (Cyber Security)
    Nirma University, Ahmedabad
    08/2022 – 06/2024 | CGPA: 9.21
    Focus: Cybersecurity, Blockchain, Data Analysis, Machine Learning

  • Bachelor of Engineering in Information Technology
    G.H. Patel College of Engineering and Technology, Vallabh Vidyanagar
    07/2018 – 05/2022 | CGPA: 8.22

Professional Experience 💼

  • Data Analyst
    Contrado Imaging India Pvt. Ltd., Ahmedabad
    06/2023 – 10/2023

    • Performed data cleaning and preprocessing using Python.

    • Developed SQL queries to fetch and analyze data.

    • Used Kibana and Elasticsearch for data visualization.

  • Business Process Analyst
    Kevit Technologies, Rajkot
    12/2021 – 07/2022

    • Designed chatbot workflows and managed client-specific SRS and change requests.

    • Handled software testing, project planning, and requirement gathering for custom chatbot solutions.

Research Interests 🔬

  • Cybersecurity and Digital Forensics

  • Blockchain Applications and Cryptographic Protocols

  • Machine Learning and Deep Learning

  • Federated Learning & Secure Data Sharing

  • Anomaly Detection and Fraud Prevention

  • Secure Industrial IoT Systems

Awards and Honors🏆✨

  • 🏆 Published Journal Paper:
    Blockchain Forensics to Prevent Cryptocurrency Scams
    Computers & Electrical Engineering (Impact Factor: 5.5)

  • 🏆 Conference Presentation:
    Federated Learning-based Secure Data Dissemination Framework for IIoT Systems
    IEEE ICBDS 2024

  • 🏆 Journal Publication:
    Decentralized Data-Driven Analytical Framework for Ship Fuel Oil Consumption
    Ain Shams Engineering Journal

  • 🎖️ Infineon Hackathon Finalist – AES-128 Cryptanalysis Challenge

Conclusion🌟

Mihir Parekh exemplifies the qualities of a modern-day technologist with a passion for innovation, research, and real-world problem solving. His academic rigor, hands-on experience in cybersecurity and AI, and commitment to continuous learning position him as a promising contributor to the field of secure intelligent systems. Eager to collaborate and make an impact, Mihir is actively seeking opportunities that align with his vision of building secure, intelligent, and efficient digital ecosystems.

Publications 📚

📘 Parekh, M., Jadav, N. K., Tanwar, S., Pau, G., Alqahtani, F., & Tolba, A. (2025). ANN and blockchain-orchestrated decentralized data-driven analytical framework for ship fuel oil consumption. Applied Ocean Research, 158, 104553.
🔗 https://doi.org/10.xxxxx/aor.2025.104553
📊 Keywords: Artificial Neural Networks, Blockchain, Maritime Fuel Analytics

📕 Parekh, M., Jadav, N. K., Pathak, L., Tanwar, S., & Yamsani, N. (2024). Federated Learning-based Secure Data Dissemination Framework for IIoT Systems Underlying 5G. In 2024 IEEE International Conference on Blockchain and Distributed Systems (pp. xx–xx). IEEE.
📡 Keywords: Federated Learning, 5G, IIoT, Cybersecurity
📍 Conference Paper

📄 Parekh, M. (2024). Decentralized Data-Driven Analytical Framework for Ship Fuel Oil Consumption. Institute of Technology.
🏛️ Institutional publication / Thesis
🌐 Focus: Data Analytics, Maritime Efficiency