Alimul Rajee | Computer Science | Young Scientist Award

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Mr. Alimul Rajee | Computer Science | Young Scientist Award

Mr. Alimul Rajee, Dept. of ICT, Comilla University, Kotbari, Bangladesh

Alimul Rajee is a Lecturer at the Department of Information and Communication Technology, Comilla University. His academic journey includes a stellar performance with a CGPA of 3.69 in his M.Sc. in Information Technology from Jahangirnagar University. Rajee’s research interests span Machine Learning, Data Science, Artificial Intelligence, Cyber Security, and Robotics, with a focus on real-world applications such as traffic accident data analysis and smart waste management. He has contributed significantly to several research projects, and his work has been published in prestigious journals, such as Knowledge-Based Systems and Heliyon. In addition to his research, Rajee is an active educator, mentoring students and supervising projects in areas like IoT and deep learning. His dedication extends beyond the classroom to extracurricular activities, where he has received multiple awards and recognitions, including an international award for his project at Fujitsu Research Institute in Tokyo.

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Suitability Summary of Young Scientist Awards

Alimul Rajee stands out as an excellent candidate for the Research for Young Scientist Award due to his impressive academic achievements, significant research contributions, and commitment to advancing in the fields of Machine Learning, Data Science, Artificial Intelligence, Cyber Security, and IoT. He has a strong educational background, earning his M.Sc. and B.Sc. with high CGPA rankings from Jahangirnagar University, which reflects his deep knowledge and dedication to his field.

Rajee’s research work is highly commendable, with several publications in reputable, Scopus-indexed journals such as Knowledge-Based Systems and Heliyon, where he has contributed to the development of novel algorithms and methodologies, especially in big data analysis, sentiment analysis, and AI-based applications. His ongoing and completed research projects, including a hybrid smart waste management system and aspect-based sentiment analysis for Bengali text, further showcase his innovative thinking and practical application of emerging technologies to address real-world problems. Additionally, his leadership in supervising over 40 academic projects and his participation in global training programs, like those held at the Fujitsu Research Institute in Japan, illustrate his proactive approach to both learning and teaching.

🎓  Education

Alimul Rajee completed his M.Sc. in Information Technology from Jahangirnagar University, securing a CGPA of 3.69 out of 4, ranking 6th in his batch. Before this, he earned his B.Sc. (Hons.) in the same field, also from Jahangirnagar University, with a CGPA of 3.71, again securing the 6th position. Rajee’s academic excellence dates back to his secondary education, where he achieved the highest CGPA of 5.00 in both his HSC and SSC exams from Govt. Ananadamohan College and Islamnagar Sailampur High School. His continuous pursuit of academic excellence earned him merit-based scholarships throughout his education. His academic prowess has laid a strong foundation for his research and professional career, as he continues to excel in his field with a focus on cutting-edge technologies such as AI and IoT.

💼 Professional Experience

Alimul Rajee’s professional career began as a Junior Data Scientist at Oculin Tech BD Ltd., where he worked from March 2020 to May 2021. He then served as a Senior Officer (ICT) at Sonali Bank PLC for a brief period before becoming a Lecturer at Comilla University in November 2021, where he currently teaches. Rajee’s teaching journey includes roles at Bangladesh University of Business and Technology (BUBT) and Jahangirnagar University (IIT-JU), where he was a Teacher Assistant. His extensive experience also includes supervising over 40 academic projects focused on machine learning, deep learning, and IoT. As an educator, he fosters a positive learning environment, guiding students through complex technical concepts while contributing to the development of innovative research and real-world applications.

🏅  Awards and Recognition

Alimul Rajee’s achievements have been recognized at both national and international levels. He has received several awards, including the UGC Research Grant from Comilla University for consecutive fiscal years, which is a testament to his research capabilities. Rajee’s work has been recognized by prestigious institutions such as Fujitsu Research Institute (FRI) in Tokyo, where his final project won 1st prize. He has also been a reviewer for the International Conference on Embracing Industry 4.0 for Sustainable Business Growth. His consistent academic and research excellence has earned him regular merit-based scholarships and fellowships, such as the National Science & Technology Fellowship from the ICT Division of Bangladesh.

🌍 Research Skills On Computer Science

Alimul Rajee specializes in the application of cutting-edge technologies such as Machine Learning, Artificial Intelligence, Cyber Security, and IoT. His research includes a diverse range of topics like traffic accident data analysis, sentiment analysis of Bengali text, and smart waste management. Rajee has honed his expertise in Data Science and deep learning methods, contributing to several high-impact publications in renowned journals such as Knowledge-Based Systems and Heliyon. His current research projects include Aspect-Category-Opinion-Sentiment Quad Extraction for Bengali Text and a Hybrid Smart Waste Management Technique using Deep Learning and IoT. Rajee’s proficiency in data analysis, algorithm design, and system integration showcases his strong research skills and his commitment to advancing technology for societal benefit.

📖 Publication Top Notes

  • “Aspect-based sentiment analysis for Bengali text using bidirectional encoder representations from transformers (BERT)”
    • Authors: MM Samia, A Rajee, MR Hasan, MO Faruq, PC Paul
    • Citation: International Journal of Advanced Computer Science and Applications, 13(12)
    • Year: 2022
  • “Detecting the provenance of price hike in agri-food supply chain using private Ethereum blockchain network”
    • Authors: MH Sayma, MR Hasan, M Khatun, A Rajee, A Begum
    • Citation: Heliyon, 10(11)
    • Year: 2024
  • “Analyzing depression on social media utilizing machine learning and deep learning methods”
    • Authors: PC Paul, MT Ahmed, MR Hasan, A Rajee, K Sultana
    • Citation: Indian Journal of Computer Science and Engineering, 14(5), 740-746
    • Year: 2023
  • “WFFS—An ensemble feature selection algorithm for heterogeneous traffic accident data analysis”
    • Authors: A Rajee, MS Satu, MZ Abedin, KMA Ali, S Aloteibi, MA Moni
    • Citation: Knowledge-Based Systems, 113089
    • Year: 2025

Nagalakshmi R Velmurugan | Computer Science | Best Faculty Award

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Dr. Nagalakshmi R Velmurugan | Computer Science | Best Faculty Award

👤 Dr. Nagalakshmi R Velmurugan, SRM institute of science and Technology, India

Dr. R. Nagalakshmi, a dedicated academician and researcher in Computer Science Engineering, has over 12 years of teaching and administrative experience. She currently serves as an Associate Professor at SRM Institute of Science and Technology, Ramapuram, Chennai. Dr. Nagalakshmi completed her Ph.D. in Computer Science Engineering from Kalinga University, focusing on grid and cluster computing. She holds an M.E. and B.E. in Computer Science Engineering from Anna University, Chennai, and a Diploma in Computer Science from Sri Balaji Polytechnic College. Her career is marked by a passion for research in AI, data science, and operating systems, complemented by proficiency in Python, Power BI, and SQL. A dynamic educator, she excels in fostering innovation and creativity through seminars, webinars, and technical events. With numerous publications and impactful projects, Dr. Nagalakshmi is committed to advancing knowledge and nurturing the next generation of technology leaders.

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🌟 Suitability For Research for Best Faculty Award

Dr. R. Nagalakshmi demonstrates strong suitability for the Research for Best Faculty Award based on her robust academic background, extensive teaching experience, and contributions to academia and research. Her qualifications, including a Ph.D. in Computer Science Engineering, coupled with her teaching experience of over 12 years, reflect her dedication to fostering knowledge and innovation in the field. Her expertise spans diverse areas such as AI-Machine Learning, Data Science, Operating Systems, and Data Structures, showcasing her alignment with contemporary advancements in technology and education.

🎓 Education 

Dr. R. Nagalakshmi pursued her Ph.D. in Computer Science Engineering at Kalinga University, focusing on grid and cluster computing technologies. She earned her M.E. in Computer Science Engineering from Jaya Engineering College, Chennai, affiliated with Anna University, achieving a commendable 74.3%. Her B.E. degree in Computer Science Engineering was completed at Sri Ramanujar Engineering College, Chennai, with a score of 72.42%. Prior to her engineering studies, she obtained a Diploma in Computer Science from Sri Balaji Polytechnic College, Chennai, securing 80.42%. Dr. Nagalakshmi’s strong foundation began with her exceptional performance in her 10th standard, scoring 87%. Throughout her academic journey, she consistently demonstrated a deep interest in technology, which has become the cornerstone of her illustrious teaching and research career.

💼  Professional Experience

Dr. R. Nagalakshmi brings 12 years of rich teaching and leadership experience to the field of Computer Science. She is currently an Associate Professor at SRM Institute of Science and Technology, Ramapuram, Chennai. Previously, she served as Head and Associate Professor at Kakinada Institute of Technological Sciences, Andhra Pradesh, where she spearheaded academic and industrial collaborations. Her earlier roles include Assistant Professor positions at ARS College of Engineering, St. Joseph’s Institute of Technology, and Dhanalakshmi College of Engineering in Chennai, where she mentored countless students. She has organized webinars, seminars, and technical events, such as an international webinar on generative AI trends and workshops on cloud computing using AWS. Her career reflects a dedication to integrating academic excellence with industry relevance, creating a dynamic learning environment for students.

🏅 Awards and Recognitions 

Dr. R. Nagalakshmi’s contributions to academia and research have been widely recognized. She organized an international webinar on generative AI trends in 2023 and conducted a national-level seminar on emerging software technologies. Her efforts in bridging academia and industry include arranging industrial visits for students and delivering guest lectures on topics such as cloud computing and Android app development. As an active participant in fostering innovation, she has received accolades for her teaching and event organization skills. Dr. Nagalakshmi’s initiatives, including technical events like Brainblitz, have significantly enriched the academic experience at institutions like SRM Institute of Science and Technology. Her achievements underscore her commitment to advancing knowledge, fostering student growth, and contributing to the field of Computer Science.

🌍 Research Skills On Computer Science

Dr. R. Nagalakshmi specializes in AI, machine learning, data science, and operating systems, with a focus on cutting-edge technologies such as grid and cluster computing. Her Ph.D. research delved into enhancing computational efficiency through grid computing infrastructures, utilizing middleware like the Globus Toolkit. Proficient in Python, Power BI, and database technologies like SQL and Oracle, she leverages these tools in innovative research and academic projects. Dr. Nagalakshmi has expertise in network security, software project management, and algorithm design, making her a versatile researcher. She is passionate about exploring emerging fields such as generative AI and has contributed significantly to academia through impactful publications and technical events. Her ability to translate complex concepts into actionable insights for students and researchers defines her excellence in research.

📖 Publication Top Notes

  • Weld quality monitoring via machine learning-enabled approaches
    • Authors: Raj, A., Chadha, U., Chadha, A., Chandramohan, V., Hadidi, H.
    • Journal: International Journal on Interactive Design and Manufacturing
    • Year: 2023
    • Citations: 14
  • Green manufacturing via machine learning enabled approaches
    • Authors: Raj, A., Gyaneshwar, A., Chadha, U., Chandramohan, V., Hadidi, H.
    • Journal: International Journal on Interactive Design and Manufacturing
    • Year: 2022
    • Citations: 6
  • Feasibility of friction stir welding for in-space joining processes: a simulation-based experimentation
    • Authors: Khanna, M., Chadha, U., Banerjee, A., Jayakumar, K., Karthikeyan, B.
    • Journal: International Journal on Interactive Design and Manufacturing
    • Year: 2022
    • Citations: 2
  • Industrial internet of things in intelligent manufacturing: a review, approaches, opportunities, open challenges, and future directions
    • Authors: Gupta, P., Krishna, C., Rajesh, R., Nagalakshmi, R., Chandramohan, V.
    • Journal: International Journal on Interactive Design and Manufacturing
    • Year: 2022
    • Citations: 35
  • Quality control tools and digitalization of real-time data in sustainable manufacturing
    • Authors: Menon, A.P., Lahoti, V., Gunreddy, N., Jayakumar, K., Karthikeyan, B.
    • Journal: International Journal on Interactive Design and Manufacturing
    • Year: 2022
    • Citations: 11
  • Caption Generation Based on Emotions Using CSPDenseNet and BiLSTM with Self-Attention
    • Authors: Priya, K., Karthika, P., Kaliappan, J., Nagalakshmi, R., Molla, B.
    • Journal: Applied Computational Intelligence and Soft Computing
    • Year: 2022
    • Citations: 3
  • Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment
    • Authors: Nagaraju, D., Chiranjeevi, C., Rajasekhar, Y., Nagalakshmi, R., Paramasivam, V.
    • Journal: Advances in Fuzzy Systems
    • Year: 2022
    • Citations: 6
  • A Survey of Machine Learning in Friction Stir Welding, including Unresolved Issues and Future Research Directions
    • Authors: Chadha, U., Selvaraj, S.K., Gunreddy, N., Kumar, R.L., Adefris, A.
    • Journal: Material Design and Processing Communications
    • Year: 2022
    • Citations: 29