Arivumalar Ravichandran | Computer science | Academic Excellence Award

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Dr. Arivumalar Ravichandran | Computer science | Academic Excellence Award

Dr. Arivumalar Ravichandran | Computer science | GreatLakes Institute of management | India

Dr. Arivumalar Ravichandran is an accomplished academician and researcher with an interdisciplinary background encompassing Information Technology, Computer Science, Engineering, and Human Resource Management. With over 17 years of teaching and research experience, she has held pivotal roles in prestigious institutions including Great Lakes Institute of Management, Sri Sairam Engineering College, and PRIST University. Her academic pursuit culminated in a Ph.D. in Techno-Management, expected to be conferred in 2025. Dr. Ravichandran’s work bridges computer science innovation with pragmatic management principles, enriching both technical and managerial education. Her research primarily targets IoT in agriculture, cloud-based smart campuses, cybersecurity, and logistics optimization. She is widely published in IEEE Xplore and international journals and known for translating theory into practice through her progressive teaching and research approach. Her dedication to both engineering and management education continues to inspire the next generation of data-driven, technology-enabled professionals.

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Education

Dr. Arivumalar Ravichandran’s educational journey reflects her diverse and rich academic expertise. She began with an M.Sc. in Information Technology from A.D.M. College for Women, followed by an M.Phil. in Computer Science from Periyar University, both with First Class distinction. To deepen her technical capabilities, she pursued an M.Tech in Computer Science and Engineering from PRIST University. Demonstrating her interdisciplinary vision, she obtained an M.B.A. in Human Resource Management from Bharathidasan University, blending technological acumen with managerial skills. Currently, she is a Ph.D. scholar in Techno-Management at Dr. N.G.P Institute of Technology, Coimbatore, with completion anticipated in 2025. This comprehensive academic background enables her to explore computer science from both an engineering and organizational perspective, making her uniquely suited for research that involves smart technology deployment in business and societal contexts.

Experience 

Dr. Arivumalar Ravichandran’s career spans over 17 years across leading academic institutions in India. She currently serves as Assistant Professor in Analytics & Operations at Great Lakes Institute of Management (since January 2024). She previously held dual roles in Sri Sairam Engineering College and SRM Valliammai Engineering College, teaching both CSBS and MBA programs. Her foundational experience includes five years as Assistant Professor in CSE at P.R. Engineering College and earlier academic roles at ARJ College, S.K. College of Arts & Science, and RDB College. Her career trajectory reflects an interdisciplinary footprint across Computer Science, MCA, and Management departments. She has a proven record of mentoring students, leading IT programs, and integrating research with curriculum delivery. As a department head and senior faculty, she has contributed to shaping institutional academic strategies while also engaging in publication-worthy research that aligns with industry and technology trends.

Awards and Honors

Dr. Arivumalar Ravichandran has consistently demonstrated excellence in research, academia, and leadership, earning her accolades in each institution she served. Though formal award titles are not explicitly listed, her career reflects significant recognitions in the form of trusted appointments in interdisciplinary teaching roles and departmental leadership. Her successful publication in prestigious Scopus-indexed and IEEE Xplore conferences and journals stands as a testament to her scholarly impact. Additionally, she has presented at international conferences and contributed to critical discourse in areas such as IoT in agriculture and risk management in logistics. These achievements mark her as a respected scholar and mentor in both technical and management circles. Her elevation to Assistant Professor roles across diverse departments and her long-standing service history are indicative of institutional recognition and peer trust. Her work continues to gain traction in the broader academic community.

Research Focus

Dr. Arivumalar Ravichandran’s research is rooted in addressing real-world challenges through advanced computing technologies. Her interdisciplinary focus spans IoT, cloud computing, cybersecurity, AI-driven smart campuses, and risk analysis in logistics. One of her prominent works involves developing a hybrid data acquisition model for precision agriculture using IoT, showcased at the ICOEI 2023 conference. She also investigates the role of cloud computing in building smart campuses, highlighting scalable solutions for educational transformation. Her earlier work focused on cyber threats, specifically mitigating malicious scripting via content security policies. Moreover, she explores techno-managerial topics such as global transportation risk management—blending IT expertise with operational strategy. This blend of computer science and business intelligence forms the core of her research philosophy: leveraging technology for sustainable, secure, and efficient solutions. Her ongoing Ph.D. enhances this integrative approach, promising further contributions at the intersection of computing, analytics, and enterprise systems.

Publication Titles 

  1. A Hybrid Data Acquisition Model for Precision Agriculture using IoT – IEEE Xplore, ICOEI 2023

  2. Analysis of Developing IoT and Cloud Computing Based Smart Campuses and its Applications – IEEE ACCAI 2024

  3. A Study on Risk Management of Global Transportation Service – Research Journal of Humanities and Social Sciences, 2023

  4. Mitigating Malicious Scripting Attacks with a Content Security Policy – IJARTET, July 2017

Conclusion

Dr. Arivumalar Ravichandran stands as a transformative figure in computer science education and research, integrating cutting-edge technical knowledge with human-centric solutions. With her strong academic background, robust publication record, and diverse teaching experience, she is a deserving candidate for the Computer Science Award. Her work continues to make a significant impact in academia and applied research, particularly in areas like IoT, smart systems, and security, reflecting both innovation and practical relevance.

Md. Nahid Hasan | Computer Science | Best Researcher Awards

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Mr. Md. Nahid Hasan | Computer Science | Best Researcher Awards

Mr. Md. Nahid Hasan, Dhaka International University, Bangladesh

Md. Nahid Hasan is a dedicated academic and researcher in Computer Science and Engineering, currently serving as a Lecturer at Dhaka International University. With a strong foundation in software development, machine learning, and data science, he has published several peer-reviewed articles in reputed journals and international conferences. He is known for blending advanced AI techniques with real-world challenges, particularly in health analytics, text classification, biosensors, and cybersecurity. Md. Hasan is pursuing his M.Sc. Engineering in CSE from BUET with a CGPA of 3.75 and previously graduated with distinction from Khulna University. His diverse research has garnered international attention, reflecting his deep curiosity, discipline, and passion for innovation. A former winner of the IEEE YESIST12 Innovation Challenge, he continues to contribute to both academia and industry with impactful research and teaching. Md. Hasan envisions a future driven by ethical AI and smart technologies that elevate human potential.

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Suitability Assessment for Research for Best Researcher Award: Md. Nahid Hasan

Md. Nahid Hasan demonstrates a strong profile for the Research for Best Researcher Award based on his academic background, research contributions, and professional engagement in the field of Computer Science & Engineering. Currently pursuing an M.Sc. in Computer Science & Engineering at Bangladesh University of Engineering and Technology (BUET), he has already established a solid foundation with a B.Sc. degree where he graduated with a commendable GPA of 3.87 and secured the 2nd position in his class.

His employment history highlights consistent academic involvement as a lecturer at reputed universities, including Dhaka International University and Daffodil International University, showcasing his dedication to both teaching and research simultaneously. This professional experience provides him with a practical platform to influence and contribute to academic development.

🎓 Education

Md. Nahid Hasan’s educational journey exemplifies academic excellence and dedication. He is currently pursuing his M.Sc. Engineering in Computer Science and Engineering from the prestigious Bangladesh University of Engineering and Technology (BUET), holding a CGPA of 3.75 with thesis remaining. His undergraduate studies were completed at Khulna University, where he graduated with a CGPA of 3.87 and secured the second position in his class. His strong foundation was built at Dinajpur Govt. College and Dinajpur Zilla School, where he achieved perfect GPAs of 5.00 in both HSC and SSC. Throughout his academic life, he has demonstrated exceptional analytical skills, logical reasoning, and innovative thinking. His curriculum has been enriched with practical programming, AI applications, and research projects, which paved the way for his contributions in machine learning, cybersecurity, and biosensor modeling. This educational background not only underpins his current research but also fuels his ambitions for advancing intelligent technologies.

💼 Professional Experience

Md. Nahid Hasan has steadily progressed through various academic roles, currently holding a Lecturer position in the Department of Computer Science and Engineering at Dhaka International University since January 2024. Prior to this, he served as a Lecturer at Daffodil International University (Jan 2023 – Jan 2024) and previously at Dhaka International University (Feb 2022 – Dec 2022). In these roles, he has taught core CSE subjects, mentored undergraduate research, and contributed to academic course development. His teaching philosophy centers around interactive learning, analytical thinking, and real-world application of computing principles. Outside the classroom, he is actively involved in research collaborations, interdisciplinary projects, and conference presentations. His industry-relevant insight and academic rigor allow him to bridge the gap between theoretical knowledge and emerging technologies. Through his academic appointments, Md. Hasan continues to inspire students, encourage innovation, and strengthen institutional research output in Bangladesh’s higher education landscape.

🏅 Awards and Recognition 

Md. Nahid Hasan’s academic journey is adorned with several accolades that reflect his brilliance and commitment. Notably, he was the Winner of the IEEE YESIST12 Innovation Challenge Track 2021, an internationally recognized competition that celebrates innovative technological solutions. He has also been a recipient of multiple merit-based scholarships throughout his undergraduate studies at Khulna University, a testament to his consistent academic performance and leadership potential. His research works have been accepted and presented at esteemed IEEE international conferences across Europe and Asia. With journal articles published in reputed outlets like Array and EAI Endorsed Transactions on IoT, he is quickly gaining recognition in global research circles. Md. Hasan’s contributions span across machine learning, bioinformatics, and cybersecurity—areas critical to the digital transformation of society. His awards not only highlight his technical abilities but also his potential to drive meaningful change through data-driven innovation.

🌍 Research Skills On Computer Science

Md. Nahid Hasan possesses a rich blend of research skills at the intersection of artificial intelligence, machine learning, and computational modeling. His expertise includes advanced statistical analysis, neural networks (ANN, LSTM, Bi-LSTM), and ensemble learning models, often applied in areas such as mental health prediction, biosensor simulation, natural language processing, and cybersecurity. He is proficient in PyTorch, Python, SQL, and C++, and utilizes LaTeX for scholarly writing. His research often involves building predictive models, performing comparative classifier analyses, and optimizing AI pipelines for complex data systems. He is also skilled in academic publishing, technical documentation, and collaborative research design. With hands-on experience in multiple IEEE conferences, Md. Hasan continues to refine his methodologies through peer feedback, interdisciplinary collaboration, and continual learning. His ability to translate real-world problems into algorithmic solutions exemplifies a future-ready research mindset grounded in ethical and impactful innovation.

📖  Publication Top Notes

  • Title: Computing Confinement Loss of Open-Channels Based PCF-SPR Sensor with ANN Approach
    Authors: N. Islam, M.S.I. Khan, M.N. Hasan, M.A. Yousuf
    Citation: 4
    Year: 2023

  • Title: Computing Optical Properties of Open–Channels Based Plasmonic Biosensor Employing Plasmonic Materials with ML Approach
    Authors: N. Islam, I.H. Shibly, M.M.S. Hasan, M.N. Hasan, M.A. Yousuf
    Citation: 4
    Year: 2023

  • Title: A Comparative Study on Machine Learning Classifiers for Cervical Cancer Prediction: A Predictive Analytic Approach
    Authors: K.M.M. Uddin, I.A. Sikder, M.N. Hasan
    Citation: 1
    Year: 2024

  • Title: An Ensemble Machine Learning-Based Approach for Detecting Malicious Websites Using URL Features
    Authors: K.M.M. Uddin, M.A. Islam, M.N. Hasan, K. Ahmad, M.A. Haque
    Citation: 1
    Year: 2023

  • Title: Stacked Ensemble Method: An Advanced Machine Learning Approach for Anomaly-based Intrusion Detection System
    Authors: A. Rahman, M.S.I. Khan, M.D.Z.A. Eidmum, P. Shaha, B. Muiz, N. Hasan, …
    Citation: — (citation not provided)
    Year: 2025

  • Title: Language Prediction of Twitch Streamers using Graph Convolutional Network
    Authors: M.N. Hasan, N. Saha, M.A. Rahman
    Citation: — (citation not provided)
    Year: 2025

  • Title: Artificial Neural Network-Assisted Confinement Loss Prediction of D-Shaped PCF-SPR Biosensor
    Authors: N. Islam, M.M.S. Hasan, M.N. Hasan, I.H. Shibly, M.A. Yousuf, M.Z. Uddin
    Citation: — (citation not provided)
    Year: 2024

  • Title: Credibility Analysis of Robot Speech Based on Bangla Language Dialect
    Authors: M.N. Hasan, R. Azim, S. Sharmin
    Citation: — (citation not provided)
    Year: 2024

  • Title: A Comparative Study on Machine Learning Classifiers for Early Diagnosis of Cervical Cancer
    Authors: I.A. Sikder, M.N. Hasan, R. Jahan, A. Mohamed, Y. Dirie
    Citation: — (citation not provided)
    Year: 2024

  • Title: Machine Learning Classification Approach for Refractive Index Prediction of D-Shape Plasmonic Biosensor
    Authors: N. Islam, M.N. Hasan, M.M.S. Hasan, I.H. Shibly, M.A. Yousuf, M.Z. Uddin
    Citation: — (citation not provided)
    Year: 2024