Anuradha Choudhury | Computer Science and Artificial Intelligence | Women Researcher Award

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Ms. Anuradha Choudhury | Computer Science and Artificial Intelligence | Women Researcher Award

Student at OUTR, india

Anuradha Rani Choudhury is a dedicated and aspiring researcher currently pursuing her Master of Technology at OUTR, Bhubaneswar, with an impressive CGPA of 9.20. She holds a Bachelor’s degree in Technology from ITER, Bhubaneswar, and has demonstrated strong technical acumen through impactful projects in machine learning, including sentiment analysis and disease prediction models, both achieving high accuracy. With certifications in machine learning, web development, and Android development, she exhibits a strong foundation in diverse technological domains. Anuradha has actively participated in seminars and workshops, showcasing her commitment to continuous learning. Her proficiency in programming languages such as Python, Java, and C, along with web technologies, complements her research skills. Additionally, her involvement in extracurricular activities like sports, NCC, and student leadership reflects a well-rounded personality. While she is at an early stage in her research journey, Anuradha shows promising potential for future contributions to the field of technology and applied sciences.

Professional Profile 

🎓 Education of Anuradha Rani Choudhury

Anuradha Rani Choudhury has built a strong academic foundation in the field of technology and engineering. She is currently pursuing her Master of Technology (M.Tech) at Odisha University of Technology and Research (OUTR), Bhubaneswar, maintaining an excellent CGPA of 9.20 (2023–2025). She previously earned her Bachelor of Technology (B.Tech) from ITER, Bhubaneswar, graduating with a CGPA of 7.73 in 2022. Her earlier academic journey includes completing 12th grade (Science) from Stewart Science College, Cuttack under the CHSE Board, scoring 57.5%, and her 10th grade from D.A.V. Public School, Berhampur under the CBSE Board, where she achieved a commendable 83.6%. Her academic progression highlights her consistent dedication and growth in technical education.

💼 Professional Experience of Anuradha Rani Choudhury

Anuradha Rani Choudhury has gained valuable hands-on experience through academic projects and certified training programs in the fields of machine learning, data science, and software development. She successfully led a Sentiment Analysis project in 2024, where she implemented advanced models such as Naïve Bayes, Logistic Regression, SVM, and Neural Networks, achieving an outstanding . In 2023, she developed a Disease Prediction Model using patient physiological data, which delivered an impressive . Additionally, Anuradha has completed certification-based training in Machine Learning (Project Mantra), Web Development (Verzeo), and Android Development (Pixaflip Technologies). Her participation in workshops and seminars, along with her technical proficiency in languages like Python, Java, and SQL, further reflects her readiness for research and real-world problem-solving in the tech industry.

🔬 Research Interest of Anuradha Rani Choudhury

Anuradha Rani Choudhury’s research interests lie primarily in the dynamic fields of Machine Learning, Artificial Intelligence, and Data Science, with a strong inclination toward applying these technologies in healthcare and human-centered applications. She is passionate about exploring predictive modeling, sentiment analysis, and disease diagnosis systems that leverage advanced algorithms to generate actionable insights from complex data. Her academic projects reflect her enthusiasm for building intelligent systems capable of improving decision-making and automation. Anuradha is also interested in the integration of deep learning and neural networks to enhance model accuracy and efficiency. As she progresses in her academic and professional journey, she aims to contribute to impactful, real-world solutions through innovative and ethically grounded research in intelligent technologies.

🏅 Awards and Honors of Anuradha Rani Choudhury

Anuradha Rani Choudhury has been recognized for her diverse talents and active participation in both academic and extracurricular arenas. She earned the 2nd prize in poem writing at the Ganjam Kalaparishad in 2017, showcasing her creative expression and literary flair. In the same year, she also secured the 2nd prize in athletics at D.A.V. Public School, reflecting her athletic spirit and commitment to physical excellence. Additionally, she holds the prestigious NCC “A” Certificate (2013–2015), highlighting her discipline, leadership, and dedication to national service. These honors demonstrate her well-rounded personality, balancing academic rigor with artistic and physical achievements.

Conclusion

Anuradha Rani Choudhury is a promising emerging researcher with a solid academic background, project experience in machine learning, and proactive engagement in technical skill development. However, to be highly competitive for the Best Researcher Award, particularly at national or international levels, she would benefit from Publishing research papers. Involving in long-term, original research with measurable impact. Demonstrating broader research influence and leadership.

📚 Publications Top Noted

  1. Title: Real-time Face Mask Detection in Nuclear Power Plants: A Deep Learning Framework Using Hybrid CNN-MobileNetV2 Architecture
    Authors: S.R. Panda, A.R. Choudhury, A.K. Mishra, S. Mohanty, S. Mishra
    Year: 2025
    Citation: 0
    Published In: Intelligent Computing Techniques and Applications, pp. 87–91

  2. Title: A Comparative Analysis of Deep Learning Techniques for Face Mask Detection System in Nuclear Power Plant
    Authors: S.R. Panda, A.R. Choudhury, A.K. Mishra
    Year: 2025
    Citation: 0
    Published In: 2025 10th International Conference on Signal Processing and Communication

  3. Title: Enhancing Lung Cancer Detection by Leveraging Machine Learning Algorithms
    Authors: A.R. Choudhury, S.R. Panda, A.K. Mishra, J. Routray
    Year: 2025
    Citation: 0
    Published In: 2025 10th International Conference on Signal Processing and Communication

  4. Title: Deep Learning Based Automated Lung Cancer Detection from CT Scan Leveraging Transfer Learning
    Authors: A.R. Choudhury, J. Rautray, P. Mishra, M. Kandpal, S.S. Dalai
    Year: 2025
    Citation: 0
    Published In: Procedia Computer Science, Volume 258, Pages 2748–2759

  5. Title: Face Mask Detection System for Safety Assurance in Nuclear Power Facilities from Harmful and Hazardous Substance Using Convolutional Neural Network and Image Processing
    Authors: S.R. Panda, A.R. Choudhury, A.K. Mishra
    Year: 2025
    Citation: 0
    Published In: International Journal of Computer Applications 975, 8887

 

 

 

 

 

 

Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

Published on by Research Hypothesis

Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Ali Othman Albaji, Libyan Authority for Scientific Research, Libya

With a Bachelor’s in Electrical Engineering and a Master’s in Electronics & Telecommunications from Universiti Teknologi Malaysia, this accomplished professional has extensive experience in academia and industry. Currently an Assistant Professor at the Higher College of Science and Technology in Libya, they also lead CR Technology System in the MENA region. Their research interests include optical wireless technologies and machine learning applications in environmental monitoring. Fluent in Arabic and English, with a diploma in Italian, they are also the President of the Postgraduate Student Society at UTM. 📡🎓🌍✍️

Publication profile

google scholar

Academic Background 

With a diverse academic journey, the individual holds a Master’s in Public Management and Leadership from the London School of Economics (LSE), UK, completed in 2010. They further pursued a Master in Electronics and Telecommunications at the University Technology Malaysia from 2019 to 2023. Their foundational education includes a Bachelor’s degree in Electrical Engineering, specializing in General Communications, from the Civil Aviation Higher College in Tripoli, Libya, earned in 2007. Additionally, they completed a Diploma in the Italian language during the 2011/2012 academic year. 🎓📡

Experience

Dr. Ali Othman Albaji boasts a diverse work history across reputable organizations. He started as a Sales Advisor at Akida Company (LG) and ZTE/Telecom China, honing his expertise in the telecommunications field. His academic journey includes significant roles as an Assistant Professor and lecturer in Electronics and Telecommunications. In addition to his teaching, he has demonstrated leadership as the Chairman of CR Technology System (CRTS Group) and the President of the Postgraduate Student Society at Universiti Teknologi Malaysia. Dr. Albaji’s commitment to both academia and industry underscores his dedication to advancing technology and education. 📡🎓💼🌟

Main Hard Skills 

Dr. Albaji possesses a robust set of technical skills, including proficiency in CAD Design, MATLAB Simulation Analysis, Python, and data visualization tools like Tableau. His capabilities extend to qualitative and quantitative analysis, SCADA systems, and programming languages like Verilog and HTML. These skills enable him to tackle complex research problems and contribute innovatively to his field. 

Languages 

Fluent in Arabic and English, with an IELTS Band Score of 8.5, Dr. Albaji also has a very good command of Italian. This linguistic proficiency allows him to collaborate with international researchers and disseminate his work to a broader audience. 

Research focus

Ali Othman Albaji’s research focus centers on machine learning applications in environmental noise classification, emphasizing smart cities and mobile communications. His work includes developing algorithms for monitoring and classifying noise pollution using MATLAB, contributing to urban planning and public health. He has also explored traffic noise impacts on residential areas and mobile telecommunications in Libya. His diverse research interests extend to the design and implementation of communication systems, highlighting the integration of technology in environmental studies. Through these contributions, Albaji aims to enhance noise management and promote sustainable urban environments. 🌍📊🔊📡

Publication top notes

Investigation on Machine Learning Approaches for Environmental Noise Classifications

A Machine Learning for Environmental Noise Monitoring and Classification Using Matlab

Machine Learning for Environmental Noise Classification in Smart Cities

Designing the Global System for Mobile Communications GSM-900 Cellular Network up to the Nominal Cell Plan in Tripoli, Libya

Conclusion and Recommendations

A Review of Traffic Highway Noise Towards Residential Area

NOISE POLLUTION DATA REPORTING AND WAREHOUSING USING TABLEAU SOFTWARE

Designing and Implementing a Signed Multiplier Radix-2 Using Booth’s Algorithm

Md Jamir Uddin | Computational chemistry | Best Paper Award

Published on by Research Hypothesis

Md Jamir Uddin | Computational chemistry | Best Paper Award

Mr Md Jamir Uddin, Red Green Research Centre, Bangladesh

Based on the provided profile, Mr. Md Jamir Uddin’s academic background and research experience seem to align well with the criteria for a Research for Best Paper Award. Below is a paragraph-by-paragraph assessment with a conclusion. 

Publication profile

google scholar

Educational Background 

Mr. Uddin holds a Bachelor of Science in Chemistry from Hajee Mohammad Danesh Science and Technology University, with a commendable CGPA of 3.44/4. His undergraduate thesis, titled “Revolutionizing Environmental Cleanup and Medical Treatment with Nano-Sponges: A Comprehensive Review,” highlights his ability to engage in cutting-edge research. This strong educational foundation provides the necessary expertise for high-level research. 

Research Interests 

His research interests span across multiple chemistry disciplines, including Analytical, Computational, Organic, and Biological Chemistry. This broad spectrum of interests reflects his versatility and potential to contribute innovative ideas to various fields of chemistry. This diversity is an asset in producing impactful research papers. 

Research Experience 

Mr. Uddin has substantial research experience, serving as a Research Assistant at the Red Green Research Centre and BRAC University. His work on Alzheimer’s disease treatment, focusing on the conjugation of scorpion venom peptides with recombinant human acetylcholinesterase, demonstrates his capacity for complex, interdisciplinary research. Additionally, his review of Ganoderma lucidum in cancer treatment showcases his ability to conduct comprehensive literature reviews and synthesize information to identify new research directions. This extensive research background strengthens his candidacy for the award. 

Professional Experience 

In his role as a Chemist at Coatex Chemical, Mr. Uddin gained valuable industry experience, conducting quality control and developing new products. His hands-on experience in the chemical industry enhances his practical understanding of chemistry, complementing his academic research skills. This balance between industry and research experience is crucial for producing research papers with practical applications. 

Teaching Experience 

Mr. Uddin’s teaching experience at SIOS School and College, as well as Dinajpur Polytechnic Institute, demonstrates his commitment to academia. By delivering lectures, assisting in laboratory experiments, and mentoring students, he has honed his ability to communicate complex concepts effectively. His teaching experience further indicates his ability to present research findings clearly, a key skill for writing award-winning papers. 

Publications & Scholarship 

Mr. Uddin has authored multiple journal publications, including topics like therapeutics, drug delivery systems, and cancer management. These publications indicate his active involvement in research and his ability to contribute to the scientific community. His involvement in workshops and conferences also demonstrates his commitment to continuous learning and professional development. His publication record is a strong testament to his research capabilities and adds to his eligibility for the award. 

Applicable Skills 

He possesses a wide range of technical skills, including molecular modeling, cheminformatics, quantum mechanical calculations, and proficiency in various chemistry software packages. Additionally, his experience with statistical tools and programming further solidifies his technical expertise. These skills are crucial for conducting high-quality research and producing papers that meet the standards for academic excellence. 

Volunteering & Community Service 

Mr. Uddin’s involvement in community service, including coordinating academic events and contributing to blood donation efforts, highlights his leadership and commitment to social causes. His active participation in extracurricular activities indicates a well-rounded personality, which is often valued in award considerations. 

 

Conclusion 

Given his solid academic foundation, diverse research experience, and active involvement in both academia and the industry, Mr. Md Jamir Uddin is a strong candidate for the Research for Best Paper Award. His work on cutting-edge topics like Alzheimer’s treatment and cancer therapy, coupled with his technical skills and publication record, makes him well-suited for recognition in this area. 

Publication top notes

Extracellular vesicles: The future of therapeutics and drug delivery systems

An insight into new strategies and targets to combat antifungal resistance: A comprehensive review

Revolutionizing the biomedical and environmental clean-up through polymeric nano-sponges: A review

Aptamer biosensor design for the detection of endocrine-disrupting chemicals small organic molecules using novel bioinformatics methods

Ebola virus: a new concern, its virological characteristics, diagnosis, present condition, and treatment during the ongoing SARS-CoV-2 omicron variant–correspondence