Beulah Sujan Karumanchi | Engineering | Best Researcher Award

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Ms. Beulah Sujan Karumanchi | Engineering | Best Researcher Award

Research Scholar at  National Institute of Technology Andhra Pradesh, India

Dr. Beulah Sujan K is a researcher in Wireless Communication Networks with a Ph.D. in Heterogeneous Cognitive Radio Networking from NIT Andhra Pradesh. Her expertise spans dynamic spectrum access, soft fusion schemes, and automated frequency coordination. She holds an M.Tech in ECE (MEMS) from Pondicherry University and a B.Tech in ECE from Acharya Nagarjuna University, both with distinction.

Profile:

🎓 Academic Background:

  • Ph.D. in Heterogeneous Cognitive Radio Networking, NIT Andhra Pradesh

  • M.Tech (ECE – MEMS), Pondicherry University – CGPA: 9.22/10

  • B.Tech (ECE), Acharya Nagarjuna University – CGPA: 9.2/10

🧠 Core Skills:

  • Mathematical Analysis

  • Numerical Methods

  • Algorithm Design

  • Monte Carlo Simulations

  • Performance Evaluation

🔍 Research Interests:

  • Wireless Communication Networks

  • Dynamic Spectrum Access

  • Soft Fusion Techniques

  • Cognitive Radio Networks

  • Automated Frequency Coordination Systems

🧪 Technical Proficiency:

  • MATLAB

  • Optimization Algorithms

  • Intellisuite Software

  • LaTeX for Technical Documentation

📚 Teaching & Mentorship:

  • Courses: Analog & Digital Communications, Wireless Communications, Signals & Systems

  • Labs: Communication Systems, LICA Lab

  • Mentoring UG/PG students in advanced communications

🏅 Achievements:

  • 🏆 UGC-NET Qualified (2018, 2019, 2024)

  • 🎯 GATE Qualified (2023)

  • 🎓 PG Merit Scholarship (2017)

  • 🥈 Silver Medal – State-Level Tech Quiz (2015)

  • 🥇 Gold Medal – Technical Quiz (2014)

📄 Key Publications:

  • IEEE, Springer, and SCI-indexed journals

  • Topics: Cognitive Radio, Spectrum Sensing, MEMS, Soft Fusion

  • Recent work under review in IEEE Transactions on Cognitive Communications and Signal Processing

Publication:

Efficient spectrum allocation by heterogeneous automated frequency coordination network within 6 GHz band

ABDUL SAMI | Engineering | Young Scientist Award

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Mr. ABDUL SAMI | Engineering | Young Scientist Award

Lecturer Numl University Hyderabad Pakistan

Engr. Abdul Sami Shaikh is a seasoned software engineering professional with a diverse portfolio in academia, research, and freelancing. His career is marked by significant contributions to IT education, cutting-edge research, and innovative development practices. Based in Hyderabad, Sindh, Abdul Sami is driven by a passion for leveraging technology to address real-world challenges and enhance learning.

Profile

Orcid

Education 🎓

Abdul Sami Shaikh has a strong academic foundation with a Master of Engineering in Information and Communication Engineering from Harbin Engineering University, China (2013-2016), achieving an impressive 3.77 CGPA. His undergraduate degree in Computer System Engineering from Mehran University of Engineering and Technology, Jamshoro (2005-2009), laid the groundwork for his technical expertise. Earlier, he pursued Pre-Engineering at Govt. Boys Degree College, Qasimabad, Hyderabad, and completed his schooling at the Model School of Sindh University.

Experience 💼

Abdul Sami has an extensive teaching and research background, having served as a lecturer at Isra University, National University of Modern Languages (NUML), and other prestigious institutions. His professional journey includes roles such as Research Associate at Mehran UET, Program Coordinator for the National Freelance Training Program, and editorial assistant for the Mehran UET Research Journal. He also gained valuable industrial experience through internships with organizations like Sui Southern Gas Company and Microsoft.

Research Interests 🔬

His research focuses on machine learning, data visualization, deep learning, and their applications in healthcare and cybersecurity. He has explored innovative solutions in image analysis, mobile app automation for Industry 4.0, and advanced threat detection systems. Abdul Sami also delves into challenges in spatial crowdsourcing and IoT-based systems.

Awards and Recognitions 🏆

While Abdul Sami has not listed specific awards, his academic and professional milestones, coupled with his impactful publications, position him as a strong candidate for recognition in research and innovation.

Publications Top Notes: 📚

Acoustic Propagation and Transmission Loss Analysis in Shallow Water

Automated Classification of Pneumonia from Chest X-Ray Images using EfficientNet-B0

 

Brahim El Boudani | Engineering | Best Researcher Award

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Dr. Brahim El Boudani | Engineering | Best Researcher Award

Lecturer London South Bank University United Kingdom

🎓 Dr. Brahim El Boudani is a passionate researcher and educator specializing in deep learning, virtual reality, and 5G technologies. With a robust technical background in programming and data analysis, he has dedicated his career to academic excellence and innovative research. Currently, a sessional lecturer at London South Bank University, Dr. El Boudani combines teaching with impactful research in fields such as augmented reality and artificial intelligence.

Profile

Google Scholar

Education

📚 Dr. Brahim El Boudani earned his Bachelor of Arts in Modern Letters from Hassan II University, Morocco, and later pursued advanced studies at London South Bank University. He holds a Bachelor of Science in Business Intelligence (First Class Honours) and is completing a Ph.D. on deep learning applications in 5G localization, expected by Summer 2023. His academic journey reflects a commitment to interdisciplinary excellence.

Experience

💼 Dr. El Boudani has diverse professional experience, including roles as Workshop Supervisor at Camara Education LTD and Business Intelligence Analyst at London South Bank University. Since 2017, he has been a sessional lecturer, excelling in teaching deep learning, mobile computing, and software development while mentoring students and leading innovative extracurricular projects.

Research Interests

🔬 Dr. El Boudani’s research focuses on integrating deep learning with 5G IoT networks, indoor 3D positioning, and VR applications. His interests also include data warehousing, big databases, and the interplay of AI in mobile computing, highlighting his drive to innovate and address real-world challenges.

Awards and Achievements

🏆 Dr. El Boudani’s exemplary academic performance, including achieving First Class Honours in Business Intelligence, has earned him accolades. His impactful research, particularly on deep learning architectures for 5G networks, has positioned him as a thought leader in his domain.

Publications Top Notes: 

📄 Dr. El Boudani has contributed significantly to peer-reviewed journals and conferences. His publications include:

Implementing deep learning techniques in 5G IoT networks for 3D indoor positioning (Sensors, 2020) – Cited by 50 articles.

Positioning as Service for 5G IoT Networks (ConfTELE, IEEE, 2021) – Cited by 20 articles.

SO-KDN: A Self-Organised Knowledge Defined Networks Architecture for Reliable Routing (International Conference on Information Science, 2021) – Cited by 25 articles.