Heba Afify | Bioinformatics | Best Researcher Award

Prof. Heba Afify | Bioinformatics | Best Researcher Award

Professor at MTI university, Cairo, Egypt

Dr. Heba Mahmoud Mohamed Afify is an accomplished academic and researcher currently serving as a Professor of Biomedical Engineering. With over two decades of experience in education, research, and clinical engineering, she has made substantial contributions to the fields of bioinformatics, biomedical image processing, and artificial intelligence applications in healthcare. Her expertise spans research, teaching, peer review, and academic leadership, making her a prominent figure in the global biomedical engineering community.

Profile

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Education

Dr. Afify began her academic journey with a B.Sc. in Biomedical Engineering and Systems from Cairo University in 2001. She pursued her M.Sc. at the same institution, where she developed a novel framework for analyzing nonlinear ECG signals. Her academic excellence continued through her Ph.D., completed in 2012, with a dissertation focused on a “Lossless Differential Compression Algorithm for Genomic Sequence Databases.” This work bridged the gap between biomedical engineering and data science. Dr. Afify further enhanced her academic profile with a short-term postdoctoral fellowship at the International Centre for Genetic Engineering and Biotechnology (ICGEB) in New Delhi in 2021. She was promoted to Associate Professor in 2019 and attained full Professorship in April 2025.

Experience

Dr. Afify’s professional journey began in clinical engineering at As-Salam International Hospital in Egypt. She transitioned into academia as an assistant lecturer at Thebes Academy and Cairo Higher Institutes between 2005 and 2011. She joined MTI University as a lecturer and served until 2019, then briefly worked as a visiting associate professor at Ain Shams University. Currently, she is an Associate Professor at the Systems and Biomedical Engineering Department at Shorouk Academy. Her diverse academic experience has allowed her to teach a wide range of undergraduate and graduate courses including Artificial Intelligence, Digital Image and Signal Processing, Clinical Engineering, Computational Biology, and Medical Instrumentation.

Research

Dr. Afify’s research interests lie primarily in artificial intelligence applications in biomedical image analysis, bioinformatics, and computational biology. Her scholarly output includes significant peer-reviewed publications in international journals and active participation in academic conferences. She is also deeply involved in supervising graduate theses and reviewing articles across more than 30 international journals. Her dedication as a peer reviewer is evident in her contributions to prestigious publications such as the IEEE Journal of Biomedical and Health Informatics, Medical & Biological Engineering & Computing, Scientific Reports, and BioMedical Engineering Online. Furthermore, she serves on the editorial boards of several international journals, including the Journal of Medical Imaging and Health Informatics and the European Journal for Biomedical Informatics.

Awards

Over her career, Dr. Afify has received multiple accolades and held prestigious positions in international academic forums. She participated in numerous international conferences and served as a Technical Program Committee (TPC) member, reviewer, and track chair. These include BIOINFORMATICS 2023, ICPRAM 2023, AIIPCC 2023, IWBBIO 2024, and IEEE CCWC 2025. She also contributed to vaccine and drug discovery workshops and received a travel fellowship to the 17th Annual International Biocuration Conference in India. Her active role in the scientific community includes being Editor-in-Chief of the International Journal of Applied Research in Bioinformatics (IJARB) and serving on advisory boards for the International Association of Scientists (IAS).

Publications

\Among her notable publications are:

  1. Afify, H.M.M., “A Novel Framework for Nonlinear ECG Signal Analysis,” Journal of Biomedical Engineering, 2007 – Cited by 30 articles.

  2. Afify, H.M.M., “Lossless Differential Compression Algorithm for Genomic Sequence Databases,” Computational Biology Journal, 2012 – Cited by 50 articles.

  3. Afify, H.M.M., “Deep Learning Techniques in Biomedical Image Processing,” IEEE Journal of Biomedical and Health Informatics, 2019 – Cited by 45 articles.

  4. Afify, H.M.M., “Genomic Signal Processing using AI,” BioMedical Engineering Online, 2020 – Cited by 38 articles.

  5. Afify, H.M.M., “Bioinformatics Models for Drug Target Prediction,” Scientific Reports, 2021 – Cited by 33 articles.

  6. Afify, H.M.M., “Multi-Omics Integration in Disease Diagnostics,” Medical & Biological Engineering & Computing, 2023 – Cited by 20 articles.

  7. Afify, H.M.M., “Medical Big Data Compression Algorithms,” Network: Computation in Neural Systems, 2024 – Cited by 17 articles.

Conclusions

In conclusion, Dr. Heba Mahmoud Mohamed Afify exemplifies academic excellence, research innovation, and professional dedication. Her multidisciplinary expertise in biomedical engineering, artificial intelligence, and bioinformatics, along with her extensive teaching and editorial engagements, position her as a leader in her field. Her commitment to advancing healthcare technologies and her influence across global scientific platforms make her a strong candidate for award nomination.

Dr. Ambreen Memon | Artificial Intelligence | Best Researcher Award

Dr. Ambreen Memon | Artificial Intelligence | Best Researcher Award

Dr. Ambreen Memon | Torrens University Australia | Australia

Ambreen Memon is a dedicated academic professional with extensive experience in Networking, Artificial Intelligence, and Data Science. 📡💡 Passionate about teaching and research, she has contributed to multiple universities and institutions globally, fostering innovation and excellence in IT education. Currently, she teaches at Torrens University and other master’s-level institutions. With a Ph.D. in Computer Science from Auckland University of Technology, her expertise spans Cyber Security, AI, Machine Learning, and Software Engineering. 👩‍🏫🔍 Ambreen has mentored postgraduate students, led research initiatives, and actively participated in content development and academic curriculum design. 📖🎓

Professional Profile:

ORCID

Suitability for Best Researcher Award

Dr. Ambreen Memon is a highly qualified academic and researcher with extensive experience in Networking, Artificial Intelligence, Data Science, Cybersecurity, and Software Engineering. Her contributions to teaching, research, mentorship, and academic curriculum development demonstrate her dedication to fostering innovation in IT education. Her international experience across multiple universities further underscores her impact on the field.

Education & Experience 🎓📚

  • Ph.D. in Computer ScienceAuckland University of Technology, NZ (2022) 🧠💻
    Thesis: Sustainable Next-Generation Network Design using Social-Aware & Delay-Tolerant Approaches
  • MS in Computer ScienceInternational Islamic University, Pakistan (2012) 🔢🔍
  • BS in Computer ScienceUniversity of Sindh Jamshoro, Pakistan (2005) 🎓
  • IT LecturerCanterbury Institute of Management, Australia (May 2024 – Oct 2024) 👩‍🏫🔐
  • Full-time IT LecturerTe Pūkenga – Western Institute of Technology, NZ (July 2021 – Apr 2024) 🌏📡
  • Content ReviewerOpen Polytechnic, NZ (Aug 2023 – Jan 2024) 📖✅
  • Teaching ExperienceAuckland University of Technology, NZ (Oct 2017 – July 2021) 🏫👩‍💻
  • IT Program LeadAWI (April 2017 – Sept 2017) 💡🔍

Professional Development 🚀📖

Ambreen Memon has consistently enhanced her expertise in Networking, AI, and Cyber Security through research, curriculum development, and teaching. 💡👩‍🏫 She has designed innovative learning experiences, integrating AI-driven techniques into IT education. 🔍🤖 Her mentorship and supervision of postgraduate students have resulted in impactful research projects in AI, Business Intelligence, and Cyber Security. 📊 She actively engages in content reviewing to ensure high-quality education materials. ✅ Her commitment to academic excellence is evident in her ability to adapt to modern teaching methodologies, including online, blended, and face-to-face learning. 🎓🌐

Research Focus 🔬📊

Ambreen Memon’s research interests lie in Networking, Artificial Intelligence, Data Science, and Cyber Security. 🌎📡 She specializes in sustainable next-generation network designs using social-aware and delay-tolerant approaches. 🏗️📶 Her work integrates AI-driven methodologies to enhance network security, data analysis, and intelligent systems. 🤖🔍 She has contributed to advancing business intelligence, machine learning, and human-computer interaction, fostering a data-driven approach to technological innovations. 📊🚀 Her research aims to bridge the gap between traditional networking systems and AI-driven automation, making IT infrastructures more resilient, adaptive, and intelligent. ⚡🛡️

Awards & Honors 🏆🎖

  • Excellence in Teaching Award – Recognized for outstanding contributions to IT education 📚🏅
  • Best Research Paper Award – Published impactful research on AI & Networking 📝🏆
  • Academic Leadership Recognition – Awarded for curriculum development & student mentorship 🎓🌟
  • Technology Innovation Grant – Secured funding for AI-driven network security research 💡💰
  • Outstanding Faculty Award – Honored for dedication to student success and academic excellence 👩‍🏫🎖

Publication Top Notes:

📌 Analysis and Implementation of Human Mobility Behavior Using Similarity Analysis Based on Co-Occurrence Matrix  📊🚶‍♂️ Cited by 3
📌 A New Energy Efficient Big Data Dissemination Approach Using the Opportunistic D2D Communications  🔋📡
📌 CatchMe If You Can: Enable Sustainable Communications Using Internet of Movable Things  🌍📶