Saba Inam | machine learning | Women Researcher Award

Posted on 06/02/202506/02/2025 by 21b4bddf87157652317827146367558f

Dr.Saba Inam |machine learning| Women Researcher Award

Dr Saba InamFatima Jinnah women university, The Mall, Rawalpindi, Pakistan.

Dr. Saba Inam is a lecturer in the Department of Mathematical Sciences at Fatima Jinnah Women University in Rawalpindi, Pakistan. She earned her PhD in Algebraic Cryptography from the Capital University of Science and Technology, completing her studies between February 2014 and January 2019. Her research interests include Algebraic Number Theory, Algebraic Cryptography, Applied Cryptography, image encryption, Cloud Computing, Machine Learning, and Deep Learning. Dr. Inam has contributed to over 20 publications, accumulating 247 citations, and her work has garnered more than 3,367 reads. Notably, she co-authored the article “An efficient image encryption algorithm using 3D-cyclic Chebyshev map and elliptic curve,” published in November 2024.

Publication Profile

Google Scholar

Orcid

Education :

Dr. Saba Inam holds a PhD in Mathematics from Capital University of Science and Technology (CUST), Islamabad (2019). She completed her MS in Mathematics from COMSATS Institute of Information Technology, Islamabad, in 2007 with a CGPA of 3.6/4, achieving 1st Division. She earned her M.Sc. in Mathematics from Quaid-i-Azam University, Islamabad (2005), and her B.Sc. in Mathematics (Maths A, Maths B, Stats) from the University of the Punjab (2003), both with 1st Division.

Experience :

Dr. Inam has extensive academic and research experience. Since September 2007, she has been serving as a Lecturer in Mathematics at Fatima Jinnah Women University, Rawalpindi. She also held the position of Incharge, Department of Mathematical Sciences from August 2016 to January 2018. Before that, she worked as a Research Associate at COMSATS Institute of Information Technology, Islamabad, from March to August 2007.

Research Focus :

Dr. Inam’s research interests span across multiple domains, including:

Cryptography & Security: Algebraic Cryptography, Cryptology, CryptanalysisAI & Data Security: Image Encryption, Blockchain, IoT, Deep Learning, Machine LearningMathematical Sciences: Fluid Mechanics, Geometric Function Theory.

Awards:

Dr. Inam’s academic excellence has been recognized through various awards and honors:

Scholarship – Capital University of Science and Technology (CUST), Islamabad (2013-2018)Dean’s Roll of Honor – Received twice during PhD courseworkDiploma in Academic Excellence in Discrete Mathematics – Abdul Salam School of Mathematical Sciences, GC University, Lahore (2012)Scholarship – COMSATS Institute of Information Technology, Islamabad (2005-2007)

Skills:

Dr. Inam possesses expertise in:Programming & Computational Tools: Matlab, Python, Mathematica, APCoCoA, Scientific Workplace, LaTeXOffice & Documentation: Proficient in Microsoft Office Suite,Dr. Saba Inam continues to contribute significantly to the fields of cryptography, image encryption, and mathematical security frameworks, with a strong focus on deep learning and blockchain applications.

Publication :

Three dimensional boundary layer flow of a viscoelastic nanofluid with Soret and Dufour effects

Numerical simulation of Darcy–Forchheimer 3D unsteady nanofluid flow comprising carbon nanotubes with Cattaneo–Christov heat flux and velocity and thermal slip conditions

An effective color image encryption based on Henon map, tent chaotic map, and orthogonal matrices

A new ElGamal-like cryptosystem based on matrices over groupring

Analytic study of a novel color image encryption method based on the chaos system and color codes

Blockchain based medical image encryption using Arnold’s cat map in a cloud environment

A numerical study of rotating Bödewadt flow of micropolar fluid over porous disk

A Novel Public Key Cryptosystem and Digital Signatures

A new method of image encryption using advanced encryption Standard (AES) for network security

Research on color image encryption approach based on chaotic Duffing map

Conclusion

Dr. Inam’s strengths, including her academic excellence, research impact, and leadership in academia, position her as a strong candidate for the “Research for Women Researcher Award.” While there are areas to enhance collaboration and public outreach, her work is already shaping critical developments in data security and encryption. Recognizing her would not only celebrate her achievements but also inspire more women to pursue careers in research and technology, contributing significantly to both academic and societal progress.

Adil Hussain |Machine | Best Researcher Award

Posted on 23/11/2024 by 21b4bddf87157652317827146367558f

Mr. Adil Hussain |Machine | Best Researcher Award

Chang’an University,Pakistan

Adil Hussain is a PhD scholar at Chang’an University, China, specializing in advanced research within his field. Originally from Pakistan, Mr. Hussain is dedicated to contributing to academic excellence and innovation.

Summary:

Adil Hussain, a motivated researcher and Android developer, excels in blending technical expertise with innovative problem-solving. His dedication to academic excellence and hands-on development experience positions him as a strong asset in the technology and research sectors. With ongoing doctoral studies, his career trajectory is aligned with advancing technological solutions and contributing to cutting-edge developments in his field.

Professional Profiles:

Scopus

Google Scholar

🎓 Education :

Adil Hussain has a solid academic background with ongoing doctoral studies in Traffic Information Engineering and Control at Chang’an University, Xi’an, China (2022–2026). He holds a Master of Science in Computer Science from Bahria University, Islamabad, Pakistan (2019–2022). His foundational knowledge in technology stems from a Bachelor of Science in Information Technology earned at Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan (2014–2018). Prior to his higher education, he pursued FSc. Pre-Engineering from Islamabad Model Postgraduate College for Boys H-8/2, Islamabad (2012–2014), and completed Matriculation in Science at Islamabad Model School for Boys No.2, I-9/4, Islamabad (2008–2011).

🏢 Experience:

Adil’s professional journey showcases a blend of technical expertise and research.,Speckpro Digital (Nov 2021 – Dec 2022),He contributed to the organization with his advanced skills in Android development and project implementation.,Cyber Reconnaissance andCombat Lab (CRC) (Oct 2019 – Sep 2021),As a Research Fellow, he conducted research tasks, authored papers in Computer Science, and assisted professors in submission and revision processes. He also prepared documents for publication, ensuring quality and accuracy.O3 Interfaces (Pvt.) Ltd. (Feb 2019 – Sep 2019),During his tenure as an Android Developer, Adil worked on product-based and project-based applications. Notable projects include the Salon Wizz app, Kasa Beeston E-Commerce application, and the CASA Tenant Management System, where he handled frontend and API integration.,Internship to Junior Android Developer (Feb 2019 – Sep 2019),Adil began as an intern, advancing to Junior Android Developer. He played a key role in developing the UBL Digital banking application, enhancing features like Franchise Payment, Payee Management, and Digital Onboarding. His responsibilities also included API testing, debugging, and troubleshooting.

🛠️Skills:

Adil possesses a diverse skill set that reflects his technological proficiency:Operating Systems: Windows, macOS,Programming Languages: Python, Java, C#, C++,Development Tools: Android Studio, Visual Studio, Eclipse,Databases: MS SQL, MySQL, MS Access,Web Development: PHP, ASP.NET, HTML, CSS,Version Control: Git, GitHub, Bitbucket,Project Management: JIRA, ASANA,UI Design: Adobe XD, Canva, Zeplin, Figma,API Testing: Postman, Advanced Rest,Research Tools: Google Colab, Notebook, EndNote, Mendeley, Zotero, Latex

Research Focus :

Adil’s doctoral research revolves around Traffic Information Engineering and Control, emphasizing intelligent solutions for transportation systems. His previous research interests include mobile app development, database management, and software architecture, with publications focused on innovative technological applications.

🔬Awards:

Adil has consistently delivered high-quality work in his academic and professional career, earning accolades for his commitment and innovation in Android application development and research contributions. His ability to combine research with practical applications has been widely recognized.

Conclusion:

Dr. Moshe Brand demonstrates exceptional research capability, leadership, and societal contribution. His well-rounded career in academia, combined with his focus on impactful, real-world applications, solidly positions him as a leading candidate for the Best Researcher Award. With slight improvements in broadening his collaborations and increasing research visibility, he would further cement his role as a leader in his field.

Publications:

Article:
Title: Location Optimization of EV Charging Stations: A Custom K-Means Cluster Algorithm Approach
Authors: Abdullahi, M.R., Lu, Q.-C., Hussain, A., Xu, P.-C., Wang, S.
Year: 2024
Citations: 0

Article:
Title: Ensemble-Based Approach Using Inception V2, VGG-16, and Xception Convolutional Neural Networks for Surface Cracks Detection
Authors: Hussain, A., Aslam, A.
Year: 2024
Citations: 0

Article:
Title: Hate Speech Against Women and Immigrants: A Comparative Analysis of Machine Learning and Text Embedding Techniques
Authors: Hussain, A., Aslam, A.
Year: 2024
Citations: 0

Conference Paper:
Title: Minor Surface Cracks Detection Using SCD11 Convolutional Neural Network
Authors: Hussain, A., Qureshi, K.N., Zaman, F., Aslam, A., Tariq
Year: 2024
Citations: 0

Conference Paper:
Title: TSC18 Convolutional Neural Network for Traffic Sign Classification
Authors: Hussain, A., Qureshi, K.N., Aslam, A., Tariq, T., Abdullahi, M.R.
Year: 2024
Citations: 0

Conference Paper:
Title: A Novel SCD11 CNN Model Performance Evaluation with Inception V3, VGG16, and ResNet50 Using Surface Crack Dataset
Authors: Hussain, A., Qureshi, K.N., Anwar, R.W., Aslam, A.
Year: 2024
Citations: 2

Article:
Title: An Enhanced Intelligent Intrusion Detection System to Secure E-Commerce Communication Systems
Authors: Hussain, A., Qureshi, K.N., Javeed, K., Alhussein, M.
Year: 2023
Citations: 1

Article:
Title: Trust Aware Energy Management System for Smart Homes Appliances
Authors: Qureshi, K.N., Alhudhaif, A., Hussain, A., Iqbal, S., Jeon, G.
Year: 2022
Citations: 19

Kawthar Zaraket |Artificial intelligence| Best Researcher Award

Posted on 22/11/202422/11/2024 by 21b4bddf87157652317827146367558f

Ms. Kawthar Zaraket |Artificial intelligence| Best Researcher Award

Haute Alsace University,Lebanon

Ms. Kawthar Zaraket is an accomplished academic and researcher affiliated with Haute Alsace University in Lebanon. Her work spans diverse fields, reflecting her dedication to advancing knowledge and fostering innovation. With a commitment to academic excellence, Ms. Zaraket has made significant contributions through research, teaching, and collaboration. Her expertise and leadership continue to impact her field and inspire future scholars.

Summary:

Ms. Kawthar Zaraket is an accomplished researcher with a solid academic background, a broad technical skill set, and valuable teaching and industry experience. Her expertise spans several critical areas of data science, making her a strong candidate for the Best Researcher Award. However, she could further enhance her profile by highlighting specific research outputs, community contributions, and a focused area of specialization.

Professional Profiles:

Scopus

🎓 Education :

Kawthar Zaraket is a dedicated researcher currently pursuing a PhD in Data Science at both the Lebanese University, Lebanon, and Université de Haute Alsace, France. Her academic journey reflects her commitment to excellence, as she has successfully completed the following milestones:,Third Year of a PhD Program in Data Science – Lebanese University and Université de Haute Alsace,Second Year of a PhD Program in Data Science – Lebanese University and Université de Haute Alsace,First Year of a PhD Program in Data Science – Lebanese University and Université de Haute Alsace,Master Two in Computer Networks (Second Semester) – La Rochelle University, France, and Lebanese University,Master Two in Information Systems and Data Intelligence (First Semester) – La Rochelle University, France, and Lebanese University,Master One in Computer Science – Lebanese University, Lebanon,Bachelor’s Degree in Computer Science – Lebanese University, Lebanon

🏢 Experience:

Kawthar’s professional experience spans academic teaching, software engineering, and data engineering, highlighting her technical expertise and problem-solving skills,Computer Science University Instructor (2022–Present)Al Maaref University, Beirut, Lebanon,Delivered courses on Data Structures (JAVA), Object-Oriented Programming (JAVA), Basic Programming Concepts (C++), and Business Software Applications.,Software Engineer (2021–2022),Payleadr Software Company, Australia,Worked with Java, Groovy, Grails, and related technologies.,Hands-on experience with MySQL, AWS S3, API tools like Postman, and Agile Project Management frameworks including Scrum.,Data Engineer Intern (2021),Intelligencia Development Hub, Beirut,Specialized in ETL processes, Azure Data Factory, Synapse Analytics, and data warehousing.

🛠️Skills:

Kawthar has a robust skill set covering a range of technical domains:,Backend Development: Proficient in Java, Apache Groovy, Python, C, C#, C++, ASP.NET, and PHP.,Frontend Development: Skilled in GSP, HTML, CSS, JS, AJAX, and JQuery.,Web Development Tools: Experienced in Git and GitHub.,Frameworks: Expert in MVC and Grails.,Databases: Skilled in relational databases such as MySQL and Microsoft SQL Server.,Other Areas of Interest: Machine Learning (ML) and Computer Aided Design In Mechanical Engineering (AI).

Research Focus :

Kawthar’s PhD research centers around Data Science, with a strong focus on Computer Aided Design In Mechanical Engineering, Machine Learning, and Big Data Analytics. Her research involves real-time data processing, knowledge discovery, and building intelligent systems for advanced applications in data networks.

🔬Awards:

Ranked 1st during Bachelor’s and Master One programs at Lebanese University.,Achieved 85% in the second semester of Master Two in Computer Networks.,Consistently maintained an excellent academic track record with a score of 80% in the first semester of Master Two.

Conclusion:

Ms. Kawthar Zaraket is a suitable candidate for the Best Researcher Award due to her exceptional academic achievements, technical expertise, and diverse experiences. Her dedication to advancing her knowledge through her PhD and certifications reflects her commitment to research excellence. Enhancing her portfolio with significant publications and showcasing her community impact would position her even more favorably for this award.

Publications:

Publication:
Title: Hyper-Flophet: A neural Prophet-based model for traffic flow forecasting in transportation systems
Authors: Zaraket, K.; Harb, H.; Bennis, I.; Jaber, A.; Abouaissa, A.
Year: 2024
Citations: 0

Publication:
Title: Flophet: A Novel Prophet-Based Model for Traffic Flow Prediction in Vehicular Ad Hoc Networks
Authors: Zaraket, K.; Harb, H.; Bennis, I.; Jaber, A.; Abouaissa, A.
Year: 2023
Citations: 0

Publication:
Title: A Comparative Study of Recent Advances in Big Data Analytics in Vehicular Ad Hoc Networks
Authors: Zaraket, K.; Bennis, I.; Harb, H.; Jaber, A.; Abouaissa, A.
Year: 2022
Citations: 4

Zubair Akhtar Mohd | Computer Aided Design In Mechanical Engineering | Best Researcher Award

Posted on 13/11/202413/11/2024 by 21b4bddf87157652317827146367558f

Mr. Zubair Akhtar Mohd | Computer Aided Design In Mechanical Engineering | Best Researcher Award

Mr. Zubair Akhtar Mohd, Technische Hochschule Ingolstadt, Germany

Mr. Zubair Akhtar Mohd is a Research Associate at Technische Hochschule Ingolstadt, Germany, specializing in automotive engineering and artificial intelligence applications in predictive modeling and manufacturing optimization. He holds a Master’s degree in Automotive Engineering from THI and a Bachelor’s in Mechanical Engineering from Aligarh Muslim University, India. His research focuses on integrating Finite Element Analysis (FEA) with AI, using advanced machine learning algorithms like CNNs and RNNs to forecast the lifespan of electronic components. Mr. Mohd is also involved in scientific projects, data generation for materials testing, and academic teaching in CAD and simulation.

Professional Profiles:

🎓 Education :

Holds a Master’s degree in Automotive Engineering from Technische Hochschule Ingolstadt, Germany, with a GPA of 1.9, focusing on production optimization and AI in automotive systems. Bachelor’s degree in Mechanical Engineering from Aligarh Muslim University, India, with a GPA of 1.6, specializing in vehicle technology and CAD/CAE programming.

🏢 Experience:

Currently working as a Research Associate at the Institute of Innovative Mobility, Technische Hochschule Ingolstadt, focusing on method development for predicting electronics component lifespan using deep learning. Previously employed as a working student at CADS Engineering GmbH, contributing to vehicle design and occupant protection research, and as an Industrial Engineer in India, implementing safety and efficiency improvements in manufacturing processes.

🛠️Skills:

Proficient in Python, TensorFlow, PyTorch, and Linux, with additional expertise in tools such as Git, JavaScript, and MS Office applications. Experience with HTML, CSS, and Carla, and extensive knowledge in engineering software like NX CAD, Ansys, and Tableau. Fluent in English and German at B2 level, alongside native proficiency in Hindi.

Research Focus :

Specialized in the integration of Finite Element Analysis (FEA) simulation data with deep learning for predictive modeling. Research includes advanced deep learning models, such as CNNs and RNNs, and generative forecasting with VQ-VAE. Emphasis on machine learning algorithms for materials inspection and automated data collection.

🔬Awards:

Awarded various certifications, including specialization in self-driving car technologies from the University of Toronto and advanced machine learning courses from DeepLearning.AI. Actively involved in technical leadership roles, such as Technical Coordinator for AMU’s national college fest and team leader for the American Society of Mechanical Engineers (ASME). Published work in Springer Publications on ergonomics for productivity improvement.

Conclusion:

Mr. Zubair Akhtar Mohd’s interdisciplinary skills, innovative research focus, and dedication to academia make him a deserving candidate for the Best Researcher Award. With potential to expand his publication record and increase his collaborative efforts, Mr. Mohd’s career trajectory reflects both current excellence and promise for further significant contributions to engineering and AI research.

Publications:

Deepshikha Bhati |Computer Aided Design In Mechanical Engineering | Best Researcher Award

Posted on 26/09/202426/09/2024 by 21b4bddf87157652317827146367558f

Ms.Deepshikha Bhati |Computer Aided Design In Mechanical Engineering | Best Researcher Award

Ms, Deepshikha Bhati；Kent State University, United States.

Deepshikha Bhati is a dedicated graduate student at Kent State University, where she is pursuing her academic interests with a focus on [specific field or research area, if known]. With a strong foundation in [relevant skills or previous education], she is passionate about advancing her knowledge and contributing to innovative solutions in her field. Deepshikha is known for her collaborative spirit and commitment to academic excellence, actively engaging in research projects and campus initiatives that promote learning and community involvement.

Summary:

The candidate’s extensive academic and teaching experience, coupled with a strong foundation in relevant research areas, positions them as a worthy contender for the Research for Best Researcher Award. Their commitment to applying advanced technologies to solve real-world problems, alongside a proactive approach to seeking collaboration and funding, underscores their potential to drive innovation in their field.

Professional Profiles:

Google Scholar

🎓 Education :

I am currently pursuing a Ph.D. in Computer Science at Kent State University, focusing on my dissertation titled “Semantic Features Based Explanation of Image Classification and Tools for Geographical Multimedia Data.” I hold a Master of Technology in Computer Science from Dr. A.P.J. Abdul Kalam Technical University, India, which I completed in 2017. I also earned my Bachelor of Technology in Computer Science from the same university in 2014.

🏢 Experience:

Since August 2022, I have been serving as a Full-Time Non-Tenure Track Lecturer in the Department of Computer Science at Kent State University, Stark Campus. I have taught a range of courses, including CS III Programming Patterns, Intro to Database System Design, and Algorithm and Programming. My prior roles include part-time instructor and graduate assistantship positions within the same department, where I contributed to courses on Computer Science Principles and various advanced topics. Additionally, I gained practical experience as a Summer Software Developer, working on the “Geo Visuals Mobile Application (GVM app).”

🛠️Skills:

I possess strong programming skills in languages such as C, C++, Python, Java, Embedded C, PHP, Swift, and Kotlin. My web design skills include HTML, CSS, and JavaScript, while I am proficient in tools like MATLAB, SciLab, Visual Studio, and Android Studio. My expertise extends to database management systems such as SQLite, Realm, and MongoDB, along with data analysis and visualization tools including Pandas, NumPy, and Matplotlib. Additionally, I am well-versed in machine learning frameworks such as OpenCV, Scikit-learn, and TensorFlow, and have experience with deep learning architectures including CNNs, RNNs, and Transformers.

Research Focus :

My research interests encompass Information Visualization, Image Processing, Deep Learning, Machine Learning, and Mobile Computing. I actively participate in the Graphics and Visualization Research Group at Kent State University under the guidance of Prof. Ye Zhao.

🔬Awards:

Throughout my academic career, I have received numerous accolades, including the Fall 2024 PAAC Travel Award for participation in the IEEE 7th International Conference on Knowledge Innovation and Invention in Japan, and the Best Conference Paper Awards for two separate papers presented at the IEEE International Conference on Knowledge Innovation and Invention in 2024. I have also been nominated for the Distinguished Teaching Award at Kent State University and have received several travel awards for participation in international conferences.

Conclusion:

Overall, this profile indicates a dedicated and capable researcher whose work aligns well with the goals of the Research for Best Researcher Award. Addressing the highlighted areas for improvement, particularly in research publication and collaboration, would further bolster their candidacy. With continued effort in these domains, the candidate has the potential to make significant contributions to both academic research and practical applications in computer science.

Publications :

Title: Survey—A comparative analysis of face recognition technique
Authors: D Bhati, V Gupta
Year: 2015
Cited by: 16

Title: A Multimodal Conversational Interface to Support the creation of customized Social Stories for People with ASD
Authors: DB Rita Francese, Angela Guercio, Veronica Rossano
Year: 2022
Cited by: 7*

Title: VisualCommunity: a platform for archiving and studying communities
Authors: S Jamonnak, D Bhati, M Amiruzzaman, Y Zhao, X Ye, A Curtis
Year: 2022
Cited by: 5

Title: Current Advances in Locality-Based and Feature-Based Transformers: A Review
Authors: A Srivastava, M Chandra, A Saha, S Saluja, D Bhati
Year: 2024
Cited by: 3

Title: DNA Sequence in Cryptography: A Study
Authors: R Joshi, MC Trivedi, V Goyal, D Bhati
Year: 2022
Cited by: 3

Title: Interactive Visualization and Capture of Geo-Coded Multimedia Data on Mobile Devices
Authors: D Bhati, M Amiruzzaman, S Jamonnak, Y Zhao
Year: 2022
Cited by: 3

Title: Face Recognition Stationed on DT-CWT and Improved 2DPCA employing SVM Classifier
Authors: D Bhati
Year: 2017
Cited by: 3

Title: BookMate: Leveraging Deep Learning to Empower Caregivers of People with ASD in Generation of Social Stories
Authors: D Bhati, A Guercio, V Rossano, R Francese
Year: 2023
Cited by: 2

Title: Recent Trends for Practicing Steganography Using Audio as Carrier: A Study
Authors: R Joshi, MC Trivedi, V Goyal, D Bhati
Year: 2022
Cited by: 2

Title: Exploring Fine-Grained Feature Analysis for Bird Species Classification using Layer-wise Relevance Propagation
Authors: K Arquilla, ID Gajera, M Darling, D Bhati, A Singh, A Guercio
Year: 2024
Cited by: 1

Title: Visualizing Routes with AI-Discovered Street-View Patterns
Authors: TH Wu, M Amiruzzaman, Y Zhao, D Bhati, J Yang
Year: 2024
Cited by: 1

Title: A Survey on Explainable Computer Aided Design In Mechanical Engineering (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging
Authors: D Bhati, FNU Neha, M Amiruzzaman
Year: 2024
Cited by: 0

Title: Large Language Model-Driven Immersive Agent
Authors: A Singh, S Kumar, A Ehtesham, TT Khoei, D Bhati
Year: 2024
Cited by: 0

Title: Predictive Analytics in Law Enforcement: Unveiling Patterns in NYPD Crime through Machine Learning and Data Mining
Authors: JS Kumar, M Amiruzzaman, AA Bhuiyan, D Bhati
Year: 2024
Cited by: 0

Title: Solving Classification Problem using Reduced Dimension and Eigen Structure in RSVM
Authors: M Pal, D Bhati, B Kaushik, H Banka
Year: 2017
Cited by: 0

Mahmoud Marhamati |Artificial | Best Researcher Award

Posted on 13/09/202413/09/2024 by 21b4bddf87157652317827146367558f

Mr.Mahmoud Marhamati |Artificial | Best Researcher Award

Mr. Mahmoud Marhamati ,PhD candidate in Tehran University of Medical Science, Iran

Mr. Mahmoud Marhamati is a PhD candidate at Tehran University of Medical Sciences in Iran. His research focuses on advancing medical science through innovative studies in his field. He is dedicated to contributing to healthcare improvements and academic excellence, and is actively involved in both research and academic pursuits at the university.

Summary:

Strengths: Innovation in noisy data augmentation, high-impact publications, interdisciplinary collaboration, and significant contributions to COVID-19 research.,Areas for Improvement: Diversifying AI research topics and enhancing recent paper visibility.

Professional Profiles:

Google Scholar

🎓 Education :

M. Marhamati holds an advanced degree in medical sciences, specifically focusing on computational medicine and biomedical research. This background includes a strong foundation in medical imaging, computational biology, and clinical research, preparing them to contribute significantly to the application of artificial intelligence in healthcare. The educational path also demonstrates a blend of medical knowledge with a deep understanding of technological advancements in disease detection, management, and clinical trials.

🏢 Experience:

M. Marhamati has a rich experience in the intersection of healthcare and technology, particularly in the development and enhancement of machine learning and deep learning algorithms for medical image analysis. Their work spans from the detection of COVID-19 using X-ray and CT images to research in chronic disease management, leveraging the Internet of Things (IoT). They have also contributed to clinical research, including trials related to the efficacy of various medical interventions, such as intravenous catheter patency, airway monitoring during CPR, and pain management in medical procedures.

🛠️Skills:

Deep Learning & Machine Learning: Extensive experience in applying deep convolutional neural networks (CNNs) for medical image analysis, including the detection of COVID-19 and tuberculosis.,Medical Imaging Analysis: Expertise in X-ray and CT image processing, particularly for respiratory diseases like COVID-19.,Clinical Research & Trials: Proven track record in designing and conducting clinical trials, focusing on novel therapeutic interventions and medical devices.,Biomedical Research: Ability to bridge clinical practice with cutting-edge research, with publications in both medical and technical fields.,Data Augmentation & Noise Handling: Experience in developing noise-robust deep learning models and augmentation strategies to improve model generalization.,Internet of Things (IoT) in Healthcare: Knowledge in integrating IoT technologies for chronic disease management, particularly during the COVID-19 pandemic.

🔬Awards:

Throughout their career, M. Marhamati has received recognition for their innovative work in applying deep learning to medical image analysis. Their research has been published in top-tier journals, and they have been acknowledged for their contributions to improving the detection of diseases like COVID-19 and tuberculosis through AI-based models. Additionally, their clinical research has garnered attention for improving patient care practices.

Research Focus:

M. Marhamati’s research is primarily focused on the application of deep learning and AI in medical imaging and healthcare. One key area is the development of noise-robust deep convolutional neural networks (CNNs) for the detection of COVID-19 and tuberculosis from X-ray and CT images. They have also pioneered strategies for learning-to-augment methods to enhance the generalizability of CNN models in noisy environments. Moreover, their work extends to the integration of IoT in healthcare, exploring its role in managing chronic diseases, especially during pandemics.

Conclusion:

Mr. Mahmoud Marhamati is a highly suitable candidate for the Best Researcher Award due to his innovative contributions to AI in medical imaging, particularly in the detection and management of COVID-19. His interdisciplinary approach, impactful publications, and focus on real-world healthcare applications position him as a forward-thinking researcher who exemplifies excellence in combining AI with healthcare innovation. To further strengthen his candidacy, expanding into other AI applications beyond COVID-19 and seeking leadership opportunities would broaden his impact

Publications :

Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images
- Authors: M. Momeny, A.A. Neshat, M.A. Hussain, S. Kia, M. Marhamati, et al.
- Journal: Computers in Biology and Medicine
- Year: 2021
- Citations: 67

Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images
- Authors: A. Akbarimajd, N. Hoertel, M.A. Hussain, A.A. Neshat, M. Marhamati, et al.
- Journal: Journal of Computational Science
- Year: 2022
- Citations: 36

Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy
- Authors: M. Momeny, A.A. Neshat, A. Gholizadeh, A. Jafarnezhad, E. Rahmanzadeh, et al.
- Journal: Computers in Biology and Medicine
- Year: 2022
- Citations: 32

Retracted: Internet of things in the management of chronic diseases during the COVID‐19 pandemic: A systematic review
- Authors: A. Shamsabadi, Z. Pashaei, A. Karimi, P. Mirzapour, K. Qaderi, M. Marhamati, et al.
- Journal: Health Science Reports
- Year: 2022
- Citations: 27

LAIU-Net: a learning-to-augment incorporated robust U-Net for depressed humans’ tongue segmentation
- Authors: M. Marhamati, A.A.L. Zadeh, M.M. Fard, M.A. Hussain, K. Jafarnezhad, et al.
- Journal: Displays
- Year: 2023
- Citations: 18

Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT
- Authors: M.A. Hussain, Z. Mirikharaji, M. Momeny, M. Marhamati, A.A. Neshat, R. Garbi, et al.
- Journal: Computerized Medical Imaging and Graphics
- Year: 2022
- Citations: 11

Comparing Serum Levels of Vitamin D and Zinc in Novel Coronavirus–Infected Patients and Healthy Individuals in Northeastern Iran, 2020
- Authors: S.J. Hosseini, B. Moradi, M. Marhamati, A.A. Firouzian, E. Ildarabadi, A. Abedi, et al.
- Journal: Infectious Diseases in Clinical Practice
- Year: 2021
- Citations: 6

Comparing the effects of pulsatile and continuous flushing on time and type of peripheral intravenous catheters patency: a randomized clinical trial
- Authors: S.J. Hosseini, F. Eidy, M. Kianmehr, A.A. Firouzian, F. Hajiabadi, M. Marhamati, et al.
- Journal: Journal of Caring Sciences
- Year: 2021
- Citations: 4

Emergency Medical Service Personnel Satisfaction Regarding Ambulance Service Facilities and Welfare
- Authors: A. Jesmi, H.M. Ziyarat, M. Marhamati, T. Mollaei, H. Chenari
- Journal: Iranian Journal of Emergency Medicine
- Year: 2015
- Citations: 2

Patient’s airway monitoring during cardiopulmonary resuscitation using deep networks
- Authors: M. Marhamati, B. Dorry, S. Imannezhad, M.A. Hussain, A.A. Neshat, et al.
- Journal: Medical Engineering & Physics
- Year: 2024
- Citations: 1

Comparison of using cold versus regular temperature tube on successful nasogastric intubation for patients in toxicology emergency department: a randomized clinical trial
- Authors: S.R. Mazlom, A.A. Firouzian, H.M. Norozi, A.G. Toussi, M. Marhamati
- Journal: Journal of Caring Sciences
- Year: 2020
- Citations: 1

Comparison of using cooled and regular-temperature nasogastric tubes on the success of nasogastric intubation
- Authors: S. Mazlom, M. Marhamati, H. Norozi, A. Ghasemi Toosi
- Journal: Evidence Based Care
- Year: 2015
- Citations: 1

Shankar Patil | Deep Learning | Best Researcher Award

Posted on 11/07/202411/07/2024 by 21b4bddf87157652317827146367558f

Prof Dr. Shankar Patil | Deep Learning | Best Researcher Award

Prof Dr, Shankar Patil,Smt. Indira Gandhi College of Engineering, Ghansoli, India

Prof. Dr. Shankar Patil is a distinguished academician and researcher affiliated with Smt. Indira Gandhi College of Engineering in Ghansoli, India. With a robust background in engineering education and research, Dr. Patil has made significant contributions to the field, particularly in the areas of [please specify his key areas if known]. He holds [degrees or qualifications], and his expertise spans [mention specific areas of expertise or research interests]. Dr. Patil is actively involved in [mention any significant roles, committees, or academic initiatives he’s part of]. His dedication to advancing knowledge and fostering academic excellence underscores his commitment to the field of engineering education and research

Professional Profiles:

Scopus

Objective:

To procure a challenging position in an organization where I can promote my ideas and knowledge with the best engineering qualities for the benefit of the organization.

Education :

Ph.D. in Computer Science & Engineering, Singhania University, Pacheri, September 2018.
Master of Computer Engineering, Bharati Vidyapeeth Deemed University, Pune, 2005.
Bachelor of Computer Engineering, Walchand College of Engineering, Sangli, Shivaji University, Kolhapur, 1998.

Membership:

Life Member, Indian Society of Technical Education (ISTE), Membership Number LM41153.
Computer Society of India (CSI), Membership Number N1158683.
Recognized as PhD Guide in Computer Engineering at University of Mumbai.
Recognized as Post-Graduate Teacher at University of Mumbai.

Publications :

Object Identification and Alerting Method for Pattern Analysis,” Inderscience Journal of Computational Vision and Robotics, February 2024.
“Yolo V4-Based Hybrid Feature Enhancement Network with Robust Object Detection under Adverse Weather Conditions,” Springer Nature journal Signal, Image and Video Processing, March 2024.
“Caritas- ‘Serving Smiles’,” 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), India, 2023.
“Online Exam Proctoring System Based on Computer Aided Design In Mechanical Engineering,” 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), India, 2023.
“Melanoma Skin Cancer Disease Detection Using Convolutional Neural Network,” 3rd International Conference of Emerging Technologies 2022 (INCET2022), India, May 2022.

Patrícia Takaki | Computer Aided Design In Mechanical Engineering | Best Researcher Award

Posted on 11/07/202411/07/2024 by 21b4bddf87157652317827146367558f

Prof . Patrícia Takaki | Computer Aided Design In Mechanical Engineering | Best Researcher Award

Prof , Patrícia Takaki ,State University of Montes Claros, Brazil

Prof. Patrícia Takaki is a distinguished academic at the State University of Montes Claros, Brazil. She holds a PhD in [specific field, if known], showcasing her deep expertise and commitment to advancing knowledge in her area of specialization. Prof. Takaki has made significant contributions through her research, which includes numerous publications in reputed journals and conference presentations. Her work primarily focuses on [specific research interests, if known], where she has developed innovative approaches and solutions. In addition to her research, Prof. Takaki is dedicated to teaching and mentoring students, fostering the next generation of scholars and professionals. She is actively involved in various academic and professional communities, contributing to the broader discourse in her field. Prof. Takaki’s dedication to excellence in both research and education has earned her recognition and respect within the academic community.

Professional Profiles:

Scopus

Education :

Doctorate in Information Science,Universidade Federal de Santa Catarina (UFSC), Florianopolis, Brazil, 2019
Title: Ciência de Dados aplicada à EaD
Advisor: Moisés Lima Dutra,Keywords: Information Science, Educational Data Mining,Knowledge Areas: Information Science, Computer Science, Information Management,Master’s in Computer Science,Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil, 2001 – 2007,Title: Variações e aplicações do algoritmo de Dijkstra
Advisor: Prof. Dr. Orlando Lee,Keywords: Dijkstra’s Algorithm, Graph Theory, Shortest Paths, Data Structures, Point-to-Point Problem
Knowledge Areas: Graph Theory, Analysis of Algorithms and Computational Complexity,Specialization in Computação Aplicada à Educação
Universidade de São Paulo (USP), Sao Paulo, Brazil, 2018 – 2020,Title: Predição de reprovação na educação a distância: um estudo comparativo,Advisor: Seiji IsotaniGraduation in Computação – ênfase em Sistemas de Informação
Universidade Estadual de Montes Claros (UNIMONTES), Montes Claros, Brazil, 1996 – 2000,Graduation in Biologia – Licenciatura
Universidade Estadual de Montes Claros (UNIMONTES), Montes Claros, Brazil,,1997 – 2000Improvement Course in Engenharia de Software,Universidade Estadual de Montes Claros (UNIMONTES), Montes Claros, Brazil,,2007

Professional Experience:

Universidade Estadual de Montes Claros (UNIMONTES), 2003 – Present,Position: Full-time University Professor at the Department of Computer Science (DCC), Center for Exact and Technological Sciences (CCET),Responsibilities,Faculty member involved in various teaching, research, and administrative roles.,Active in distance education projects at the Open University of Brazil (UAB) at UNIMONTES since 2008.,Coordinated the largest institutional proposal in Brazil under Call 015/CAPES/DED for promoting the use of ICT in undergraduate programs.,Developed educational materials and interactive objects for the training of 43,000 PMMG police officers for TCO registration.,Coordinated the Information Systems Course and Pedagogical Support at the Distance Education Center at UNIMONTES.,Member of the Editorial Board of Unimontes Press and the Business Incubator at Unimontes (Inemontes).

Research and Projects:

Project: Construção de um supercomputador de baixo custo para processamento de alto desempenho utilizando o sistema Beowulf (2008-2009),Description: Installation, configuration, and comparative testing of a high-performance Beowulf cluster.,Members: Patrícia Takaki Neves, Renato Dourado Maia, Hércules Mohamed.

Awards and Recognitions:

2023:,Madrinha da Turma, Formandos do Curso de Sistemas de Informação – UNIMONTES.,Orientadora do trabalho vencedor do Prêmio de Melhor Iniciação Científica da área de Ciências Exatas – UNIMONTES.
2022: Approved for the position of Agente de Tecnologia da Informação, Banco do Brasil.
2020: Professora Homenageada, Formandos do Curso de Sistemas de Informação – UNIMONTES.
2018: Professora Homenageada, Formandos do Curso de Sistemas de Informação – UNIMONTES.
2017: Madrinhade Formatura Formandos do Curso de istemas de Informação – UNIMONTES.

Publications :

2023: Text mining applied to distance higher education in Education and Information Technologies.
2022: A Proposed Framework for Evaluating the Academic-failure Prediction in Distance Learning in Mobile Networks and Applications.
2012: Utilização de um framework metodológico para avaliação da usabilidade do ambiente virtual de aprendizagem da Unimontes: Virtualmontes in Revista Multitexto.
2012: Sistema de informação para apoio ao controle da leishmaniose visceral na cidade de Montes Claros/MG in Revista Clique.
2002: Interval graphs with repeats and the DNA fragment assembly problem in IC Technical Reports.
2021: Ciência de Dados na Educação: contribuições interdisciplinares at IV Workshop de Informação, Dados e Tecnologia.
2021: Lançamentos dos livros on Competência em Informação at IV Seminário de Pesquisas e Práticas sobre Competência em Informação de Santa Catarina.
2021: Mineração de Dados Educacionais at Congresso Internacional de Tecnologia na Educação.