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:

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.