Mehr Un Nisa | Telecommunications | Best Researcher Award

Published on by Computer Scientists Awards

Ms. Mehr Un Nisa | Telecommunications | Best Researcher Award

Ms. Mehr Un Nisa -PhD student, AGH university of krakow, Poland.

Mehr Un Nisa is a passionate and versatile academic and professional with a strong foundation in computer systems engineering. She is currently pursuing a Ph.D. in Computer Science and Telecommunications at AGH University in Krakow, Poland. Known for her commitment to excellence and innovation, Mehr brings a multidisciplinary background that encompasses research, teaching, IT operations, and data analysis. Her expertise spans technical domains such as image processing, cybersecurity, and artificial intelligence. With her combined academic and industrial exposure, Mehr aims to create meaningful solutions, especially in underwater content analysis and smart system security, contributing to both academic advancements and practical applications.

Publication Profile

ORCID

Education Background

Mehr holds a robust academic portfolio, beginning with a Bachelor’s degree in Computer Systems Engineering (2014–2018) and followed by a Master’s in Computer Systems Engineering (2018–2021) from UET Peshawar, Pakistan. Her bachelor’s thesis focused on facial recognition systems, while her master’s work developed a cybersecurity framework for GPS-protected smart containers using PGP encryption. Currently enrolled in a Ph.D. program at AGH University, Krakow, she is researching underwater visual content analysis, exploring both objective and subjective methods for quality assessment. Her academic trajectory reflects a deep commitment to technical rigor, innovation, and research-driven problem-solving in modern computing environments.

Professional Experience

Mehr has a diverse professional journey marked by significant roles in academia, industry, and research. She served as a Junior Manager Operations at Unilever Pakistan and previously worked at Nestle Pakistan in operations and sales. Her academic experience includes teaching microprocessors, digital logic design, and object-oriented programming as a visiting faculty member at IMSciences. She also worked as an IT support officer at Telenor and as a research assistant at the National Center for Cyber Security, where she led experiments on smart sensors and data analytics. Her roles across sectors highlight her adaptability and multifaceted engineering competence.

Awards and Honors

Mehr has earned recognition through certifications and prestigious course completions in advanced computing and cybersecurity. She successfully completed the 8th Advanced Course on Data Science and Machine Learning (ACDL 2025) and a crash course in Cyber Security from KPCERC KPITB Peshawar. Additionally, she acquired training in marketing automation strategies. While currently undertaking her Ph.D. research, her growing publication record in peer-reviewed journals and conferences also reflects her standing in the academic community. Her continuing efforts in interdisciplinary fields position her as a strong candidate for future academic honors and awards.

Research Focus

Mehr’s research centers on computer vision, deep learning, cybersecurity, and smart systems. Her Ph.D. thesis is dedicated to underwater content analysis, developing systems for visual quality validation using technical descriptors, cognitive modeling, and dataset formulation. She also has research experience in secure GPS communications, face recognition, and image classification using convolutional neural networks. Through a blend of experimental design and computational modeling, her work aims to improve the reliability and security of intelligent systems and enhance human-computer interaction in visually complex environments such as AR/VR and underwater imagery.

Top Publications Notes 

  1. Improved Binary Classification of Underwater Images Using a Modified ResNet-18 Model
    Published in – 2025
    Citation: Cited by 3 articles

  2. Unveiling the Art of Video Enhancement: A Comprehensive Examination of Content Selection and Sequencing for Optimal Quality in Conventional and AR/VR Environments
    Published in – 2025
    Citation: Cited by 2 articles

  3. Comparative Performance Analysis of Deep Learning Architectures in Underwater Image Classification
    Published in. – 2024
    Citation: Cited by 1 article

  4. Minutia Extraction Based Electronic Voting Machine
    Published in– 2023
    Citation: Cited by 1 article

  5. A Comprehensive Study of GPS Communication Security
    Published in– 2022
    Citation: Cited by 2 articles

  6. Application of Deep Convolution Neural Network for Image Classification: A Review
    Published in– 2022
    Citation: Cited by 1 article

  7. A New Strategy to Enhance the Security of GPS Location by PGP Algorithm in Smart Containers
    Published in – 2022
    Citation: Cited by 2 articles

  8. Implementation of Novel PGP Algorithm for Encrypted GPS Communication in Smart Containers
    Published in – 2021
    Citation: Cited by 3 articles

Conclusion

Mehr Un Nisa exemplifies a well-rounded researcher and practitioner in the field of computer science and telecommunications. With a blend of academic strength, industrial engagement, and a proactive learning approach, she continues to explore critical research areas with real-world impact. Her evolving contributions in image classification, cybersecurity, and intelligent systems demonstrate her capability to bridge theoretical understanding with practical innovation. She is poised for a promising future in research and academia, contributing significantly to emerging technologies and global knowledge communities.

Dr. Gracia Samuel | Telecommunications | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Gracia Samuel | Telecommunications | Best Researcher Award

Former Research Scholar, Christ University, India

Dr. Gracia Samuel is an accomplished Computer Science Researcher with over 11 years of extensive experience spanning academia, industry, and doctoral research. 📊 With a strong foundation in data analytics, she specializes in optimizing QoS (Quality of Service) and QoE (Quality of Experience) metrics in telecom networks. 📡 Her unique blend of skills in DEA (Data Envelopment Analysis), predictive modeling, and network performance benchmarking makes her a valuable asset in the field of network optimization and planning. Currently residing in Chennai, India, she is passionate about driving impactful research that contributes to smarter, more connected societies. 🌐

Publication Profile

Google Scholar

🎓 Educational Background

Dr. Gracia Samuel holds a Ph.D. in Computer Science from Christ University, Bangalore (2020–2024), where her thesis focused on benchmarking QoS and QoE metrics using DEA. 📘 She earned her M.S. in Telecommunication Networks from the prestigious Polytechnic University, now NYU Tandon School of Engineering, USA (2006–2008). 🎓 Her undergraduate journey began with a B.E. in Electronics and Communication Engineering from Karunya Institute of Technology, Coimbatore (2002–2006). 🧑‍💻 Her educational path has been firmly rooted in communication networks and data science.

💼 Professional Experience

Dr. Gracia brings rich industry and academic experience to the table. She started her career as a Programmer Analyst Trainee at Peri Software Solutions, New Jersey 🇺🇸 (2008), gaining hands-on expertise in Perl, HTML, and SQL. Later, as an Assistant Professor at VIT University (2009–2010), she led several courses and student research projects in computer networks using OPNET. 📘 Her industry roles include Senior Analyst at Ocwen Financial Solutions (2015–2017), where she conducted predictive modeling and market risk analysis using SAS and SQL, and Analyst at GE Capital (2011–2014), focusing on customer analytics and economic research. 📈

🏆 Awards and Honors

Gracia Samuel has received several accolades throughout her career 🌟. She was appreciated by the CRO and Board of Directors at GE Capital for her insights into auto lending risks. She earned multiple Gold Awards for her contributions to e-commerce and mobile analytics and for her economic data validations. 🥇 She also received a Bronze Award for efficiency and an Achievement Award for optimizing e-commerce dashboard processes. Notably, her conference paper was awarded Best Paper at the 2022 International Conference on Intelligent Computing and Technology. 🏅

🔬 Research Focus

Dr. Gracia’s research interests lie at the intersection of Data Analytics, Telecommunications, and Network Optimization. 📡 Her Ph.D. work focuses on using Slack-Based Measures in DEA to benchmark and enhance QoS/QoE in telecom services, providing actionable strategies for network planning and service improvement. She also explores predictive analytics, VANET security, 5G benchmarking, and smart network societies. Her work contributes to designing resilient, scalable, and customer-centric telecom infrastructures. 📶

📚 Top Publications 

Towards a Smarter Connected Society By Enhancing Internet Service Providers’ QoS Metrics Using Data Envelopment Analysis – ECS Transactions, 2022 – Cited by 10 articles.

An Optimal Benchmarking Technique to Improve Quality of Experience in 4G Indian Public Telecom Sector for Better Network Penetration and Fair Service Pricing – Telematique, 2023 – Cited by 7 articles.

A Case Study of Security in VANETs – International Journal of Advanced Research in Computer Science, 2011 – Cited by 5 articles.

5G Planning and QoE Management Using Mathematical Benchmarking Techniques for Europe and Middle Eastern Countries – IEEE CONECCT, 2022 – Cited by 4 articles.

5G Telecom Toolkit – Patent Office Journal, Nov 2023.

🧾 Conclusion

With a strong foundation in both theory and practice, Dr. Gracia Samuel exemplifies the convergence of academic rigor and industry relevance. 💡 Her contributions to telecom benchmarking, data analytics, and network optimization have added value to both scholarly research and operational excellence. Driven by curiosity and a commitment to technological advancement, she continues to push boundaries in creating efficient, fair, and innovative communication networks. 🌍

Habib Mohammed Hussien | Communication Engineering | Best Researcher Award

Published on by Computer Scientists Awards

Assist. Prof. Dr. Habib Mohammed Hussien | Communication Engineering | Best Researcher Award

Addis Ababa Science and Technology University, Ethiopia

Dr. Habib Mohammed Hussien (PhD) is an esteemed Assistant Professor at Addis Ababa Science and Technology University, Ethiopia. With a deep passion for Artificial Intelligence, data science, blockchain, and wireless communication, he has significantly contributed to communication engineering, IT security, and industry electrical system design. His research focuses on high-altitude platforms, computer networks, and electrical systems, making him a key figure in technology transfer and industry advisory. Dr. Habib has authored over 32 high-quality publications in reputed SCI, Scopus, and Web of Science-indexed journals and conferences, shaping advancements in his field.

Publication Profile

Google Scholar

🎓 Education:

Dr. Habib Mohammed earned his PhD in Electrical Engineering (Communication Engineering) from Addis Ababa University, AAiT (2016–2022), receiving an “Excellent” grade for his dissertation on “Resource Allocation and Beam-pointing Optimization of High-Altitude Platform (UAV) Wireless Networks”. He completed his MSc in Electrical and Electronics Engineering (Signal and Information Processing) at Tianjin University, China (2008–2011), where he specialized in moving object detection and tracking systems using computer vision. His academic journey began at Adama Science and Technology University, where he earned a BSc in Electrical and Electronics Engineering/Technology with distinction.

💼 Experience:

Dr. Habib currently serves as an Assistant Professor at Addis Ababa Science and Technology University since February 2023. His professional expertise extends to communication system design, electrical and electromechanical system supervision, industry electrical plant design, and IT security. He actively engages in community service and industry advisory, fostering technological innovations.

🏆 Awards and Honors:

Dr. Habib’s outstanding academic and research contributions have been recognized with numerous accolades. He has received prestigious international and institutional awards for his excellence in wireless communication, AI applications, and high-altitude platform research. His PhD dissertation was graded “Excellent”, highlighting his groundbreaking work in UAV-based communication networks.

🔬 Research Focus:

Dr. Habib’s research interests include Artificial Intelligence, data science, and blockchain, with a strong emphasis on applying AI to wireless communication and high-altitude platforms. His work also spans communication engineering, IT security, electrical systems, and industry technology transfer. He explores performance optimization, resource allocation, and spectrum utilization in high-altitude platform networks to enhance global connectivity and broadband services.

📚 Publications:

Compressed Amharic Text: A Prediction by Partial Match Context-Modeling Algorithm (2024) – Communications in Computer and Information Science

Robust rateless space-time block coding for mmWave massive MIMO system (2024) – Heliyon

Coverage and Performance Evaluation of Multibeam Stratospheric Platforms Wireless Broadband Services (2024) – Journal of Computational Science & Data Analytics

Capacity, Coverage and Power Profile Performance Evaluation of a Novel Rural Broadband Services Exploiting TVWS from High Altitude Platform (2022) – IEEE Open Journal of the Computer Society

Performance Optimization of High-Altitude Platform Wireless Communication Network Exploiting TVWS Spectrums Based on Modified PSO (2022) – IEEE Open Journal of Vehicular Technology

🔍 Conclusion:

Dr. Habib Mohammed Hussien is a leading researcher and educator in AI-driven communication systems and high-altitude platforms. His cutting-edge research, extensive publications, and industry collaborations position him as an influential figure in wireless communication, IT security, and electrical system design. With a commitment to innovation and academic excellence, Dr. Habib continues to shape the future of AI and communication networks. 🚀