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

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