Mena Nagy Adly Khalaf, a PhD candidate in Marine Science, Technology, and Management at the University of Porto, combines a strong foundation in bioinformatics, deep learning, and computer science. He holds both a Master’s and a Bachelor’s degree in Computers and Information (Information Systems) from Assiut University, where he graduated top of his class. His Master’s thesis, “Prediction of Molecular Compound Structures Using Deep Learning,” reflects his deep expertise in computer science, bioinformatics, and AI. His research focused on generative deep learning techniques for molecular and protein structure prediction. Currently, as a research assistant at CIIMAR, he contributes to the iCulture project by applying artificial intelligence to analyze omics data, aiming to uncover genetic mechanisms linked to seaweed adaptation and molecular production. Mena has published in peer-reviewed journals including ACS Omega and IJACSA, with a conference paper published in IEEE Xplore. He previously worked as an Assistant Lecturer at Assiut University, teaching across bioinformatics, information systems, and computer science programs. Mena also shares his expertise through the Narmer Academy YouTube channel and actively supports community initiatives in Egypt. His technical skills include Python, R, machine learning, deep learning, and various bioinformatics tools—highlighting his dedication to innovation in computational biology and sustainable marine applications.

Identificação pessoal

Nome completo
Mena Nagy Adly Khalaf

Nomes de citação

  • Khalaf, Mena

Identificadores de autor

Ciência ID
C11A-1005-EEED
ORCID iD
0000-0002-6207-3075

Endereços de correio eletrónico

  • mkhalaf@ciimar.up.pt (Profissional)
  • menanagy01@gmail.com (Pessoal)

Telefones

Telemóvel
  • 934844280 (Pessoal)

Moradas

  • Rua do Monte da Estação, 4300-342, Campanhã, Porto, Portugal (Pessoal)

Websites

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação - Bioinformática
  • Ciências Exatas - Ciências da Computação e da Informação

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Inglês Utilizador independente (B2) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Português Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1)
Árabe (Idioma materno)
Francês Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1) Utilizador elementar (A1)
Grau Classificação
2024/10/10 - 2028/07/01
Em curso
PhD in Marine Science, Technology and Management (Technological Progress, Engineering and Business Management) (Doutoramento)
Especialização em Marine Science, Technology, and Management - Technological Progress, Engineering, and Business Management
Universidade do Porto Faculdade de Ciências, Portugal
"Integrating Machine Learning and Deep Learning in Genomic and Omics Analyses for Sustainable Macroalgae Utilization" (TESE/DISSERTAÇÃO)
2020/09/01 - 2023/11/17
Concluído
M.S. in Computers and Information (Information Systems) (Master)
Especialização em Information Systems
Assiut University Faculty of Computers and Information, Egipto
"Prediction of Molecular Compound Structures Using Deep Learning." (TESE/DISSERTAÇÃO)
2015/09/01 - 2019/07/01
Concluído
B.Sc. in Computers and Information (Information Systems) (Bachelor)
Especialização em Information Systems
Assiut University Faculty of Computers and Information, Egipto
"RTM (Rent To Me) - An AI-Driven E-commerce System" (TESE/DISSERTAÇÃO)
GPA: 3.74 / 4.00 —Grade: Excellent (A-) —Class Rank: 1st in the graduating class

Ciência

Categoria Profissional
Instituição de acolhimento
Empregador
2024/11/11 - Atual Assistente de Investigação (carreira) (Investigação) Universidade do Porto Centro Interdisciplinar de Investigação Marinha e Ambiental, Portugal
Universidade do Porto Centro Interdisciplinar de Investigação Marinha e Ambiental, Portugal

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento
Empregador
2020/02/11 - 2024/11/10 Assistente (Docente Universitário) Assiut University Faculty of Computers and Information, Egipto
Assiut University Faculty of Computers and Information, Egipto
2020/02/11 - 2024/11/10 Monitor (Docente Universitário) Assiut University Faculty of Computers and Information, Egipto
Assiut University Faculty of Computers and Information, Egipto

Publicações

Artigo em conferência
  1. Mena Nagy A. Khalaf; Taysir Hassan A. Soliman; Sara Salah Mohamed. "ROD-WGAN hybrid: A Generative Adversarial Network for Large-Scale Protein Tertiary Structures". 2023.
    10.1109/icca59364.2023.10401737
Artigo em revista
  1. Mena Nagy A. Khalaf; Taysir Hassan A Soliman; Sara Salah Mohamed. "PLM-GAN: A Large-Scale Protein Loop Modeling Using pix2pix GAN". ACS Omega (2024): https://doi.org/10.1021/acsomega.3c05863.
    10.1021/acsomega.3c05863
  2. Mena Nagy A. Khalaf; Taysir Hassan A Soliman; Sara Salah Mohamed. "Generating Nature-Resembling Tertiary Protein Structures with Advanced Generative Adversarial Networks (GANs)". International Journal of Advanced Computer Science and Applications (2023): http://dx.doi.org/10.14569/ijacsa.2023.01408117.
    10.14569/ijacsa.2023.01408117
Tese / Dissertação
  1. "Prediction Of Molecular Compounds Structures Using Deep Learning". Mestrado, Assiut University Faculty of Computers and Information, 2023.

Consultoria / Parecer

Descrição da atividade Instituição / Organização
2020/02/11 - 2024/11/10 Supervised numerous undergraduate students over four years in bioinformatics, machine learning, and AI applications. Provided academic mentoring, guided research projects, and assisted in supervising graduation theses focused on bioinformatics, computational biology, computer science and data science at Assiut University. Assiut University Faculty of Computers and Information, Egipto

Curso / Disciplina lecionado

Disciplina Curso (Tipo) Instituição / Organização
2020/02/11 - Atual Assisted in teaching the undergraduate course “Algorithms in Bioinformatics,” focusing on algorithmic approaches to biological data analysis. Supported instruction and lab sessions involving sequence alignment, dynamic programming, and graph-based methods. Guided students in applying algorithms to genomic, proteomic, and medical datasets using real-world bioinformatics tools. Emphasized computational thinking and AI-enhanced techniques for solving biological problems. Bioinformatics (Bachelor) Assiut University Faculty of Computers and Information, Egipto
2020/02/11 - Atual Assisted in teaching the undergraduate course “Scripting Languages in Bioinformatics,” with a focus on using Python and other scripting tools for automating biological data analysis. Supported lab sessions involving data parsing, sequence manipulation, and tool integration. Guided students in writing scripts to process genomic, proteomic, and medical datasets, and in building custom pipelines for bioinformatics workflows. Emphasized hands-on problem solving and reproducibility in computational biology. Scripting Language in Bioinformatics Assiut University Faculty of Computers and Information, Egipto
2020/02/11 - Atual Assisted in coordinating and supporting the undergraduate course “Seminars in Bioinformatics,” which engaged students in current research topics and emerging technologies in the field. Helped organize student presentations, provided feedback on scientific communication, and facilitated discussions on literature covering genomics, systems biology, AI in bioinformatics, and data ethics. Encouraged critical thinking, interdisciplinary dialogue, and exploration of real-world bioinformatics applications. Seminars in Bioinformatics (Bachelor) Assiut University Faculty of Computers and Information, Egipto
2020/02/11 - Atual Assisted in teaching the undergraduate course “Biological Databases,” focusing on the structure, function, and use of key databases in bioinformatics. Supported lab sessions where students explored genomic, proteomic, and structural databases such as NCBI, UniProt, and PDB. Guided students in retrieving, querying, and integrating biological data for research purposes. Emphasized database schema understanding, data formats (FASTA, GenBank), and the importance of data curation in biological research. Biological Databases (Bachelor) Assiut University Faculty of Computers and Information, Egipto
2020/02/11 - Atual Assisted in teaching the undergraduate course “Structural Bioinformatics,” focusing on the analysis and modeling of macromolecular structures. Supported lab sessions involving 3D visualization, structure prediction, and evaluation using tools like PyMOL and SWISS-MODEL. Guided students in exploring protein folding, molecular interactions, and structure-function relationships. Emphasized the integration of structural data with biological context and computational techniques in bioinformatics. Structural Bioinformatics (Bachelor) Assiut University Faculty of Computers and Information, Egipto
2020/02/11 - Atual Assisted in teaching the undergraduate course “Computational Biology Techniques,” focusing on the application of computational models and algorithms to understand biological systems. Supported lab sessions involving sequence alignment, network analysis, and simulation of biological processes. Guided students in using tools for modeling gene regulation, metabolic pathways, and biological networks. Emphasized systems-level thinking, data integration, and the use of computational approaches to explore complex biological questions. Computational Biology Techniques (Bachelor) Assiut University Faculty of Computers and Information, Egipto
2020/02/11 - Atual Assisted in teaching the undergraduate course “Databases,” focusing on the principles of database design, modeling, and implementation. Supported lab sessions involving ER diagrams, relational schema, SQL querying, and normalization. Guided students in developing and managing databases using systems like MySQL and Oracle. Emphasized handling structured data across domains, including biomedical and geospatial datasets, and ensuring data integrity, security, and performance optimization. Databases (Bachelor) Assiut University Faculty of Computers and Information, Egipto
2020/02/11 - Atual Assisted in teaching the undergraduate course “Advanced Project Management,” focusing on the application of project planning, execution, and evaluation techniques in information systems. Supported workshops and lab sessions on Gantt charts, risk analysis, budgeting, and agile methodologies. Guided students through case studies and project simulations involving real-world IT and bioinformatics projects. Emphasized teamwork, resource management, and project documentation using tools like Microsoft Project and Trello. Advanced Project Management (Bachelor) Assiut University Faculty of Computers and Information, Egipto
2020/02/11 - Atual Assisted in teaching the undergraduate course “Data Mining and Business Intelligence,” focusing on extracting meaningful patterns from large datasets and transforming data into actionable insights. Supported lab sessions involving classification, clustering, association rules, and predictive analytics using tools like WEKA, Orange, and Python. Guided students in applying techniques to business, biomedical, and environmental data. Emphasized real-world decision-making, data preprocessing, and model evaluation. Data Mining and Business Intelligence (Bachelor) Assiut University Faculty of Computers and Information, Egipto
2020/02/11 - Atual Assisted in teaching a course module focused on distributed computing using Hadoop and Apache Spark. Supported lab sessions where students implemented big data workflows, managed HDFS, and developed data processing tasks using MapReduce and Spark APIs (PySpark). Guided students in handling large-scale datasets, building real-time and batch processing pipelines, and applying analytics techniques in distributed environments. Emphasized performance tuning, fault tolerance, and scalable data analysis. Information System Application Development (Bachelor) Assiut University Faculty of Computers and Information, Egipto
2020/02/11 - 2024/11/10 Taught undergraduate courses in Bioinformatics, Machine Learning, Data Science, Information Systems, and Computational Biology. Delivered lectures, supervised lab sessions, and guided students in research-based projects, integrating AI-driven methods and data analysis. (Bachelor) Assiut University Faculty of Computers and Information, Egipto
2020/02/11 - 2024/11/10 Assisted in teaching the undergraduate course “Introduction to Bioinformatics,” which provided foundational knowledge in the analysis of biological data using computational methods. Supported instruction and lab sessions covering sequence alignment, database searching, and biological data formats (FASTA, GenBank). Guided students in working with genomic and proteomic datasets and using basic bioinformatics tools such as BLAST and NCBI resources. Emphasized core concepts, practical skills, and the role of bioinformatics in modern biology. Bioinformatics (Bachelor) Assiut University Faculty of Computers and Information, Egipto

Expedição científica

Descrição da atividade Instituição / Organização
2024/11/11 - Atual Currently researching at CIIMAR, Universidade do Porto, applying AI, deep learning, and machine learning in bioinformatics for genomic and omics data. Developing pipelines for large-scale processing, conducting phylogenetic analysis, and using AI models to explore genetic adaptations in macroalgae. Focusing on sustainable marine biotechnology, enhancing data interpretation for the iCulture project, and studying functional pathways, gene associations, and ecological interactions for predictive modeling and resource sustainability. Universidade do Porto Centro Interdisciplinar de Investigação Marinha e Ambiental, Portugal

Prémio

2019 Annual Academic Excellence Award
Assiut University Faculty of Computers and Information, Egipto

Outra distinção

2019 First Rank in Bachelor's Degree
Assiut University Faculty of Computers and Information, Egipto