Cutting-edge technology represents the forefront of innovation, embodying the latest advancements that push the boundaries of what is possible in various fields. It encompasses breakthroughs in artificial intelligence, quantum computing, biotechnology, and more, fundamentally transforming the way we live and work. In the realm of artificial intelligence, machine learning algorithms and neural networks are enabling computers to learn and make decisions, mimicking human cognitive functions. Quantum computing, with its ability to process information at speeds unimaginable with classical computers, holds the promise of revolutionizing complex problem-solving in fields like cryptography and optimization. Biotechnology is unlocking new frontiers in healthcare, with gene editing technologies like CRISPR-Cas9 offering unprecedented precision in modifying DNA, potentially curing genetic diseases. Cutting-edge technology also extends to the realm of renewable energy, where innovations in solar a
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-Alam, M. N., Kaur, B., & Kabir, M.
S. (1994). Tracing the Historical Progression and Analyzing the Broader
Implications of IoT: Opportunities and Challenges with Two Case
Studies. networks (eg, 4G, 5G), 7, 8.
-Kabir, M. S., & Alam, M. N. (2023). IoT, Big Data and AI Applications in the Law Enforcement and Legal System: A Review.
-Alam, M. N., Kaur, M., & Kabir, M. S. (2023). Explainable AI in Healthcare: Enhancing Transparency and Trust upon Legal and Ethical Consideration.
-M. N. Alam and M. S. Kabir, "Forensics in the Internet of Things: Application Specific Investigation Model, Challenges and Future Directions," 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-6, doi: 10.1109/INCET57972.2023.10170607.
-Alam, M. N., Singh, V., Kaur, M. R., & Kabir, M. S. (2023). Big Data: An overview with Legal Aspects and Future Prospects. Journal of Emeging Technologies and Innovative Research, 10(5).
-Alam, M. N., Kaur, K., Kabir, M. S.,
Susmi, N. H., & Hussain, S. (2023). UNCOVERING CONSUMER SENTIMENTS
AND DINING PREFERENCES: A LEGAL AND ETHICAL CONSIDERATION TO MACHINE
LEARNING-BASED SENTIMENT ANALYSIS OF ONLINE RESTAURANT REVIEWS. International Journal of Creative Research Thoughts, 11(5).
-Alam, M. N., Sarma, D., Lima, F. F., Saha, I., &Hossain, S. (2020, August). Phishing Attacks Detection using Machine LearningApproach.In 2020 Third International Conferenceon Smart Systems and Inventive Technology (ICSSIT) (pp. 1173-1179). IEEE. https://ieeexplore.ieee.org/abstract/document/9214225
-Saha, I., Sarma, D., Chakma, R. J., Alam, M. N., Sultana, A., &Hossain, S. (2020, August). Phishing Attacks Detection using Deep Learning Approach. In 2020 Third International Conferenceon Smart Systems and Inventive Technology (ICSSIT)(pp. 1180-1185). IEEE. https://ieeexplore.ieee.org/abstract/document/9214132
-Sarma, D., Alam, W., Saha, I., Alam, M. N., Alam, M. J., & Hossain, S. (2020, July). Bank Fraud Detection using Community Detection Algorithm. In 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 642- 646). IEEE. https://ieeexplore.ieee.org/abstract/document/9182954
-Hossain, S., Sarma, D., Mittra, T., Alam, M. N., Saha, I., & Johora, F. T. (2020, July). Bengali Hand Sign Gestures Recognition using Convolutional Neural Network. In 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 636-641). IEEE. https://ieeexplore.ieee.org/abstract/document/9183357
-Khan, M. A. A., Butt, J., Mebrahtu, H., Shirvani, H., Sanaei, A., & Alam, M. N. (2019). Integration of Data-Driven Process Re- Engineering and Process Interdependence for Manufacturing Optimization Supported by Smart Structured Data. Designs, 3(3), 44. https://www.mdpi.com/2411-9660/3/3/44 or https://doi.org/10.3390/designs3030044
-Khan, M. A. A., Butt, J., Mebrahtu, H., Shirvani, H., & Alam, M.N. (2018). Data-Driven Process Reengineering and Optimization Using a Simulation and Verification Technique. Designs, 2(4), 42.https://www.mdpi.com/2411-9660/2/4/42 or https://doi.org/10.3390/designs2040042
-Barua, B. Karim, Razuan. Alam, M.N. (2019). Ambient Intelligence: Environmental Adaptability and Maturity of Ambient Intelligence by Identifying its Challenges and Maturity Stage-Security Issues.University of Science and Technology Annual(USTA),23(1),72-76.
-Alam, M. N., Hossain, S., & Alam, K. N. E. (2015). Use case application in requirements analysis using secure tropos to umlsec- security issues. International Journal of Computer Applications, 109(4).http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.695.3031&rep=rep1&type=pdf
-Alam, M. N., Paul, S. P., & Chowdhury, S. (2013). Security Engineering towards Building a Secure Software. International Journal of Computer Applications, 81(6).https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.401.8073&rep=rep1&type=pdf
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