Kawthar Zaraket |Artificial intelligence| Best Researcher Award

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:

Ā Scopus

šŸŽ“ Education :

Kawthar Zaraket is a dedicated researcher currently pursuing a PhD in Data Science at both the Lebanese University, Lebanon, and UniversitĆ© 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 ā€“ Lebanese University and UniversitĆ© de Haute Alsace,Second Year of a PhD Program in Data Science ā€“ Lebanese University and UniversitĆ© de Haute Alsace,First Year of a PhD Program in Data Science ā€“ Lebanese University and UniversitĆ© de Haute Alsace,Master Two in Computer Networks (Second Semester) ā€“ La Rochelle University, France, and Lebanese University,Master Two in Information Systems and Data Intelligence (First Semester) ā€“ La Rochelle University, France, and Lebanese University,Master One in Computer Science ā€“ Lebanese University, Lebanon,Bachelorā€™s Degree in Computer Science ā€“ Lebanese University, Lebanon

 

šŸ¢Ā Experience:

Kawtharā€™s professional experience spans academic teaching, software engineering, and data engineering, highlighting her technical expertise and problem-solving skills,Computer Science University Instructor (2022ā€“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 (2021ā€“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.

šŸ› ļø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 :

Kawtharā€™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.

 

šŸ”¬Awards:

Ranked 1st during Bachelorā€™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.

 

Ā 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

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

Ā 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 Masterā€™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:

 

šŸŽ“ Education :

Holds a Masterā€™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. Bachelorā€™s degree in Mechanical Engineering from Aligarh Muslim University, India, with a GPA of 1.6, specializing in vehicle technology and CAD/CAE programming.

 

šŸ¢Ā 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.

šŸ› ļø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.

 

šŸ”¬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 AMUā€™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 Mohdā€™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. Mohdā€™s career trajectory reflects both current excellence and promise for further significant contributions to engineering and AI research.

Ā Publications:

MD. HUMAUN KABIR | Machine Learning| Best Researcher Award

Mr.MD. HUMAUN KABIR | Machine Learning| Best Researcher Award

Mr , MD. HUMAUN KABIR, Department of Computer Science and Engineering, Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University,Bangladesh.

Mr. MD. Humaun Kabir is a distinguished faculty member in the Department of Computer Science and Engineering at Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University, Bangladesh. He is dedicated to advancing computer science education and research, with a focus on cutting-edge technologies and innovations that drive the field forward. Through his commitment to academic excellence, Mr. Kabir continues to inspire and mentor the next generation of engineers and computer scientists.

Summary:

  • Achieved a high CGPA in both M.Sc. (3.88) and B.Sc. (3.82) in Engineering, indicating strong academic performance.
  • Consistently strong performance throughout academic life, with excellent results in HSC and SSC.

Professional Profiles:

Google Scholar

Education :

Md. Humaun Kabir completed his M.Sc. in Engineering with a specialization in Applied Physics and Electronic Engineering from the University of Rajshahi in 2015, earning an impressive CGPA of 3.88 on a 4.00 scale. He also holds a B.Sc. in Engineering from the same department, achieved in 2014, with a CGPA of 3.82 on a 4.00 scale. Prior to his university education, he excelled in his secondary and higher secondary studies, achieving a GPA of 5.00 in HSC from Police Line’s School & College, Kushtia (Jashore Board) in 2010, and a GPA of 4.94 in SSC from Patachora Secondary School, Chuadanga (Jashore Board) in 2008. Notably, on December 24, 2018, the Department of Applied Physics and Electronic Engineering was renamed to the Department of Electrical and Electronic Engineering.

Work Experience:

With a professional career spanning around seven years, Md. Humaun Kabir has served in multiple academic roles. He began as a Lecturer in the Department of Computer Science and Engineering at Pundra University of Science & Technology, Bogura, where he worked from May 23, 2017, to February 9, 2019. He then continued as a Lecturer at Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University (BSFMSTU), Jamalpur, from February 10, 2019, to February 19, 2022. He was promoted to Assistant Professor at the same institution on February 20, 2022, and later took on the additional role of Chairman of the Department of Computer Science and Engineering on April 9, 2022. Additionally, he holds the position of Additional Director (In-charge) of the ICT Cell at BSFMSTU, where he has been serving since April 12, 2022.

Research Focus :

Md. Humaun Kabirā€™s research interests encompass a broad spectrum of topics, including Signal/Image Processing, Computer Vision, Brain-Computer Interfaces (BCI), Human-Computer Interaction (HCI), and Biomedical Engineering. He is also passionate about Wireless Communication & Networks, and his work extends into the realms of Machine Learning & Deep Learning. His research endeavors have led to several significant contributions to the field, with a focus on enhancing performance in BCI systems and improving wireless communication systems.

Skills:

Throughout his career, Md. Humaun Kabir has developed a robust technical skillset. He is proficient in programming languages such as MATLAB, Python, C, and C++, and has expertise in using LaTeX and Overleaf for academic writing. His technical repertoire is further enriched by his experience with the Internet of Things (IoT) and embedded systems, as well as networking knowledge gained through Cisco Certified Network Associate (CCNA) training.

Ā Awards:

Md. Humaun Kabir has been recognized for his outstanding academic and professional achievements. He received the prestigious Deanā€™s Award during both his B.Sc. and M.Sc. Engineering programs from the Faculty of Engineering at the University of Rajshahi. Additionally, he was awarded a Merit Scholarship from the University of Rajshahi for his academic excellence. His research excellence has been further acknowledged through his involvement in various government and university-funded research projects, including a current project on EEG-based motor imagery tasks classification for BCI systems.

Conclusion:

Md. Humaun Kabir demonstrates strong potential as a researcher, with a solid academic foundation, relevant research interests, and considerable teaching and administrative experience. However, to strengthen his candidacy for the Best Researcher Award, it would be beneficial to have a more robust record of research publications, greater international collaboration, and evidence of securing research funding. Addressing these areas could make him a more competitive candidate for the award.

Publications :

  • Title: Strain-driven optical, electronic, and mechanical properties of inorganic halide perovskite CsGeBr3
    Authors: MR Islam, MRH Mojumder, R Moshwan, ASMJ Islam, MA Islam
    Source: ECS Journal of Solid State Science and Technology, 11(3), 033001
    Year: 2022
    Citations: 42

 

  • Title: Investigating feature selection techniques to enhance the performance of EEG-based motor imagery tasks classification
    Authors: MH Kabir, S Mahmood, A Al Shiam, AS Musa Miah, J Shin, MKI Molla
    Source: Mathematics, 11(8), 1921
    Year: 2023
    Citations: 21

 

  • Title: Design of Rectangular Microstrip Patch Antenna at 3.3 GHz Frequency for S-band Applications
    Authors: MI Hossain, MT Ahmed, MH Kabir
    Source: International Journal of Engineering and Manufacturing, 12(4), 46-52
    Year: 2022
    Citations: 10

 

  • Title: Smart attendance and leave management system using fingerprint recognition for students and employees in academic institute
    Authors: MH Kabir, S Roy, MT Ahmed, M Alam
    Source: International Journal of Scientific & Technology Research, 10(6), 268-276
    Year: 2021
    Citations: 10

 

  • Title: IoT based solar powered smart waste management system with real-time monitoring – An advancement for smart city planning
    Authors: MH Kabir, S Roy, MT Ahmed, M Alam
    Source: Global Journal of Computer Science and Technology, 20(5), 11-20
    Year: 2020
    Citations: 9

 

  • Title: Gender Recognition of Bangla Names Using Deep Learning Approaches
    Authors: MH Kabir, F Ahmad, MAM Hasan, J Shin
    Source: Applied Sciences, 13(1), 522
    Year: 2022
    Citations: 7

 

  • Title: Secured voice frequency signal transmission in 5G compatible multiuser downlink MIMO NOMA wireless communication system
    Authors: MH Kabir, J Rahman, SE Ullah
    Source: International Journal of Networks and Communications, 8(4), 97-105
    Year: 2018
    Citations: 6

 

  • Title: A neural attention-based encoder-decoder approach for English to Bangla translation
    Authors: AA Shiam, SM Redwan, MH Kabir, J Shin
    Source: Computer Science Journal of Moldova, 91(1), 70-85
    Year: 2023
    Citations: 5

 

  • Title: Web-based student registration and exam form fill-up management system for educational institutes
    Authors: MT Ahmed, MH Kabir, S Roy
    Source: International Journal of Information Engineering and Electronic Business
    Year: 2022
    Citations: 5

 

  • Title: Design and implementation of web-based smart class routine management system for educational institutes
    Authors: S Roy, MH Kabir, MT Ahmed
    Source: International Journal of Educational Management Engineering, 12(2), 38-48
    Year: 2022
    Citations: 4

 

  • Title: A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities
    Authors: J Shin, ASM Miah, MH Kabir, MA Rahim, AA Shiam
    Source: arXiv preprint arXiv:2408.05436
    Year: 2024
    Citations: 1

 

  • Title: Design of a High-Gain 2Ɨ 1 Array Antenna for S-Band Applications
    Authors: MI Hossain, MA Islam, MT Ahmed, MH Kabir
    Source: World Journal of Engineering and Technology, 11(2), 293-302
    Year: 2023
    Citations: 1

 

 

 

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

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

Ā Prof , PatrĆ­cia Takaki ,State University of Montes Claros, Brazil

Prof. PatrĆ­cia 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: CiĆŖncia de Dados aplicada Ć  EaD
Advisor: MoisĆ©s 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: VariaƧƵes e aplicaƧƵes 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 ComputaĆ§Ć£o Aplicada Ć  EducaĆ§Ć£o
Universidade de SĆ£o Paulo (USP), Sao Paulo, Brazil, 2018 – 2020,Title: PrediĆ§Ć£o de reprovaĆ§Ć£o na educaĆ§Ć£o a distĆ¢ncia: um estudo comparativo,Advisor: Seiji IsotaniGraduation in ComputaĆ§Ć£o – ĆŖnfase em Sistemas de InformaĆ§Ć£o
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: ConstruĆ§Ć£o 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: PatrĆ­cia Takaki Neves, Renato Dourado Maia, HĆ©rcules Mohamed.

Awards and Recognitions:

  • 2023:,Madrinha da Turma, Formandos do Curso de Sistemas de InformaĆ§Ć£o – UNIMONTES.,Orientadora do trabalho vencedor do PrĆŖmio de Melhor IniciaĆ§Ć£o CientĆ­fica da Ć”rea de CiĆŖncias Exatas – UNIMONTES.
  • 2022: Approved for the position of Agente de Tecnologia da InformaĆ§Ć£o, Banco do Brasil.
  • 2020: Professora Homenageada, Formandos do Curso de Sistemas de InformaĆ§Ć£o – UNIMONTES.
  • 2018: Professora Homenageada, Formandos do Curso de Sistemas de InformaĆ§Ć£o – UNIMONTES.
  • 2017:Ā  Madrinhade Formatura Formandos do Curso de istemas de InformaĆ§Ć£o – 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: UtilizaĆ§Ć£o de um framework metodolĆ³gico para avaliaĆ§Ć£o da usabilidade do ambiente virtual de aprendizagem da Unimontes: Virtualmontes in Revista Multitexto.
  • 2012: Sistema de informaĆ§Ć£o 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: CiĆŖncia de Dados na EducaĆ§Ć£o: contribuiƧƵes interdisciplinares at IV Workshop de InformaĆ§Ć£o, Dados e Tecnologia.
  • 2021: LanƧamentos dos livros on CompetĆŖncia em InformaĆ§Ć£o at IV SeminĆ”rio de Pesquisas e PrĆ”ticas sobre CompetĆŖncia em InformaĆ§Ć£o de Santa Catarina.
  • 2021: MineraĆ§Ć£o de Dados Educacionais at Congresso Internacional de Tecnologia na EducaĆ§Ć£o.