Nuruzzaman Faruqui is an award-winning researcher, academician, and author, renowned for his contributions to Artificial Intelligence and education. He was honored with the Best Researcher Award in 2024, the Best Paper Award at IJCCI 2019, and the Excellence in Teaching Award in 2023, recognizing him as the best teacher at Daffodil International University. According to sources like Google Search, Bing Search, Google Gemini, and Microsoft Copilot, Nuruzzaman Faruqui is Bangladesh’s best Machine Learning instructor. His global acclaim extends to his popular lectures on Neural Networks using MATLAB.

With 33 publications and over 120 lectures on Deep Learning and Computer Vision, Faruqui is a distinguished Assistant Professor at Daffodil International University. He holds degrees in Electrical Engineering, Information Technology, and Artificial Intelligence. His research encompasses Deep Learning, Computer Vision, and Cloud Computing. Faruqui is lauded for his ability to demystify complex concepts, and he boasts a substantial digital presence with over 15,000 LinkedIn connections and 26,000 Facebook followers.

Career

Nuruzzaman Faruqui’s journey began in 2013 when he first delved into the world of blogging and AdSense publishing. His passion for sharing knowledge and creating content quickly blossomed, but his career path would take several interesting turns before he found his true calling.

After graduating, Nuruzzaman embarked on a professional adventure as a Radio Network Planning and Optimization (RNPO) engineer at a prominent multinational telecommunications company in 2016. The technical challenges and fast-paced environment were exciting, but his quest for fulfillment led him to explore further. In search of new opportunities, he transitioned to a role as a Network Operation Center (NOC) engineer in a data center. This position offered a different perspective on the industry, yet something was still missing. Despite the varied career experiences, Nuruzzaman’s heart always returned to his childhood passion: teaching.

His dedication and enthusiasm for teaching quickly became apparent. In 2021, Nuruzzaman joined the prestigious Daffodil International University, one of Bangladesh’s top-ranked institutions, as a contractual lecturer in the Department of Software Engineering. His commitment and talent did not go unnoticed, and within just two months, he was promoted to Senior Lecturer in 2022. His rapid ascent continued, and in 2023, he achieved the position of Assistant Professor.

Serial	Designation	Organization / Institute	Service Period	Experience
1	Assistant Professor	Department of Software Engineering, Daffodil International University.	1-July-2023 to now	4 Months+
2	Senior Lecturer		1-January-2022 to 30-June-2023	1.5 Years
3	Lecturer		16-October-2021 to 31-December-2021	2 Months
4	Lecturer	Department of Computer Science and Engineering, City University	10-December-2018 to 15-October-2021	2.8 Years
5	Optimization Engineer	Banglalink Digital Communication Limited (3rd Party)	2-February-2016 to 31-August-2016	6 Months

Academic Background

Nuruzzaman Faruqui’s academic journey is a testament to his unwavering dedication to learning and excellence. It all began at BPATC School, where he completed his Secondary School Certificate with an impeccable CGPA of 5.0 in 2008, laying a solid foundation for his future endeavors. Continuing his pursuit of knowledge, he graduated from BPATC College in 2010 with a CGPA of 4.30, achieving his Higher Secondary School Certificate in Science.

In 2016, Nuruzzaman earned his Bachelor of Engineering (B.Sc.) in Electrical & Electronic Engineering from North South University, graduating with an impressive 86.7% marks. His fascination with technology and its applications drove him to further his education at the prestigious IIT, Jahangirnagar University. Here, he pursued a Master of Science (M.Sc.) in Information Technology, achieving a perfect CGPA of 4.0 and completing the program in just 1.5 years.

Nuruzzaman’s quest for knowledge did not stop there. He delved deeper into the field of Artificial Intelligence, earning a Master of Philosophy (M. Phil.) from IIT, Jahangirnagar University. In 2024, he was awarded the M. Phil. degree, marking the culmination of two years of rigorous research and study. Nuruzzaman Faruqui’s academic background is a journey marked by relentless pursuit, academic excellence, and a passion for innovation in the ever-evolving world of technology.

Exam Title	Concentration / Major	Institute	Result	Passing Year	Duration	Achievement
Master of Philosophy (M. Phil.)	Artificial Intelligence	IIT, Jahangirnagar University	Awarded	2024	2 Years	M. Phil. Degree
Master of Science (M.Sc.)	Information Technology	IIT, Jahangirnagar University	CGPA:4/4	2018	1.5 Years	Master’s Degree
Bachelor in Engineering (B.Sc.)	Electrical & Electronic Engineering	North South University	86.7% marks	2016	4 Years	Electrical Engineering Degree
HSC	Science	BPATC College	CGPA:4.30/5	2010	2 years	Higher Secondary School Certificate
SSC	Science	BPATC School	CGPA:5/5	2008	10 Years	Secondary School Certificate

Awards and Recognitions

Throughout his illustrious career, Nuruzzaman Faruqui has amassed a remarkable collection of awards and recognitions that highlight his dedication to excellence in both teaching and research.

In 2022, his proactive and enthusiastic involvement in departmental activities led to him being awarded the Excellence in Service award. As the most active newcomer in the department, Nuruzzaman quickly made a positive impression, contributing significantly to the university’s vibrant academic environment.

His journey of accolades began much earlier, with the Best Paper Award in 2019, which recognized the profound impact of his research presented at the IJCCI19 conference. This award marked a significant milestone in his research career, showcasing his ability to produce high-quality, impactful work. Nuruzzaman’s talent for communication and his commanding stage presence were recognized multiple times with the Public Speaking Award, which he won four times—in 2008, 2010, 2013, and 2015. These repeated victories highlighted his exceptional oratory skills and his ability to captivate audiences.

In 2007, his writing prowess earned him the Instant Essay Writing Award and the Recitation Award, both of which he won by demonstrating his exceptional ability to articulate thoughts and ideas effectively, both in written and spoken form. Going even further back, his academic brilliance was first acknowledged in 2003 when he received the Academic Merit Scholarship for securing the top position. This early recognition set the stage for his future achievements, reflecting his dedication to academic excellence from a young age.

Name	Position / Recognition	Year
Best Researcher Award	The best researcher at the Daffodil International University	2024
Excellence in Teaching Award	Best Teacher at the Daffodil International University	2023
Excellence in Service	Most active newcomer in the department	2022
Best Paper Award	Recognition of research impact in IJCCI19	2019
Public Speaking Award	First (Four Times)	2008, 10, 13, 15
Instant Essay Writing Award	First	2007
Recitation Award	First	2007
Academic Merit Scholarship	First	2003

Research and Publication

Nuruzzaman Faruqui’s prolific career in research and publication is a testament to his dedication and passion for advancing technology and knowledge. His journey as a scholar is marked by an impressive array of 33 publications, including 13 journal articles, 16 conference papers, and 4 books. Each work showcases his expertise and innovative contributions to the fields of Artificial Intelligence, Machine Learning, and IoT.

Journal Articles

In 2024, Nuruzzaman co-authored the groundbreaking paper “Deep-IDS: A Real-Time Intrusion Detector for IoT Nodes Using Deep Learning,” published in IEEE Access, cementing his reputation as a leading researcher in cybersecurity. His collaborative spirit is evident in works like “Survival Analysis of Thyroid Cancer Patients Using Machine Learning Algorithms” and “Healthcare As a Service (HAAS): CNN-based Cloud Computing Model for Ubiquitous Access to Lung Cancer Diagnosis,” where he joined forces with international scholars to tackle pressing health issues through technology.

Nuruzzaman’s innovative streak shines through particularly in his first-author publications. In “SafetyMed: A Novel IoMT Intrusion Detection System Using CNN-LSTM Hybridization,” published in Electronics, he led the research on developing a sophisticated intrusion detection system, showcasing his expertise in IoT security. His work on “Trackez: An IoT-based 3D-Object Tracking from 2D Pixel Matrix using Mez and FSL Algorithm,” featured in IEEE Access, further highlights his ability to push the boundaries of IoT applications.

Another notable first-author publication is “LungNet: A Hybrid Deep-CNN Model for Lung Cancer Diagnosis Using CT and Wearable Sensor-Based Medical IoT Data,” which appeared in Computers in Biology and Medicine. This paper exemplifies Nuruzzaman’s commitment to integrating deep learning with medical technology to improve healthcare outcomes. Additionally, his work on “A Novel Front Door Security (FDS) Algorithm Using GoogleNet-BiLSTM Hybridization,” published in IEEE Access, underscores his innovative approach to enhancing security through AI.

Nuruzzaman’s research also delved into the educational sector with the “DPMS: Data-Driven Promotional Management System of Universities Using Deep Learning on Social Media,” featured in Applied Sciences. This work reflects his interest in utilizing deep learning to solve real-world problems within educational institutions.

Here is the list of journal articles by Nuruzzaman Faruqui:

1. Racherla, S., Sripathi, P., Faruqui, N., Kabir, M. A., Whaiduzzaman, M., & Shah, S. A. (2024). Deep-IDS: A Real-Time Intrusion Detector for IoT Nodes Using Deep Learning. IEEE Access.
2. Alhashmi, S. M., Polash, M. S. I., Haque, A., Rabbe, F., Hossen, S., Faruqui, N., & Abubacker, N. F. (2024). Survival Analysis of Thyroid Cancer Patients Using Machine Learning Algorithms. IEEE Access.
3. Faruqui, N., Yousuf, M. A., Kateb, F. A., Hamid, M. A., & Monowar, M. M. (2023). Healthcare As a Service (HAAS): CNN-based cloud computing model for ubiquitous access to lung cancer diagnosis. Heliyon, 9(11).
4. Hossain, M. E., Faruqui, N., Mahmud, I., Jan, T., Whaiduzzaman, M., & Barros, A. (2023). DPMS: Data-Driven Promotional Management System of Universities Using Deep Learning on Social Media. Applied Sciences, 13(22), 12300.
5. Faruqui, Nuruzzaman, et al. “SafetyMed: A Novel IoMT Intrusion Detection System Using CNN-LSTM Hybridization.” Electronics 12.17 (2023): 3541.
6. Achar, Sandesh, et al. “Confimizer: A Novel Algorithm to Optimize Cloud Resource by Confidentiality-Cost Trade-off using BiLSTM Network.” IEEE Access (2023).
7. Faruqui, Nuruzzaman, et al. “Trackez: An IoT-based 3D-Object Tracking from 2D Pixel Matrix using Mez and FSL Algorithm.” IEEE Access (2023).
8. Faruqui, Nuruzzaman, et al. “LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data.” Computers in Biology and Medicine (2021): 104961.
9. Achar, S., Faruqui, N., Whaiduzzaman, M., Awajan, A., & Alazab, M. (2023). Cyber-Physical System Security Based on Human Activity Recognition through IoT Cloud Computing. Electronics, 12(8), 1892.
10. Shahiwala, A. F., Qawoogha, S. S., & Faruqui, N. (2023). Designing Optimum Drug Delivery Systems Using Machine Learning Approaches: a Prototype Study of Niosomes. AAPS PharmSciTech, 24(4), 94.
11. Paula, L. P. O., Faruqui, N., Mahmud, I., Whaiduzzaman, M., Hawkinson, E. C., & Trivedi, S. (2023). A Novel Front Door Security (FDS) Algorithm using GoogleNet-BiLSTM Hybridization. IEEE Access, 11, 19122-19134.
12. Hossen, R., Whaiduzzaman, M., Uddin, M. N., Islam, M. J., Faruqui, N., Barros, A., & Mahi, M. J. N. (2021). BDPS: An Efficient Spark-Based Big Data Processing Scheme for Cloud Fog-IoT Orchestration. Information, 12(12), 517.
13. Tauhid, A., Tasnim, M., Noor, S., Faruqui, N. and Yousuf, M. (2019) A Secure Image Steganography Using Advanced Encryption Standard and Discrete Cosine Transform. Journal of Information Security, 10, 117-129.

Conference Papers

His conference papers reflect his versatility and forward-thinking approach. His award-winning paper on the “Automatic Missing-Child Recovery System using Eigenfaces” highlighted his commitment to leveraging AI for societal benefits. He explored human-robot interaction, micro-multinational data-entry industry automation, and face detection optimization in various international conferences, earning accolades and recognition for his impactful research.

List of Conference Papers by Nuruzzaman Faruqui:

1. Faruqui N., Yousuf M.A. (2020) Automatic Missing-Child Recovery System using Eigenfaces. In: Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. (Best Paper Award Winner)
2. Chakraborty P., Yousuf M.A., Zahidur Rahman M., Faruqui N. (2020) How Can a Robot Calculate the Level of Visual Focus of Human’s Attention. In: Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer.
3. N. Faruqui, M. A. Yousuf and M. Fazlul Karim Patwary, “Automatic Examinee Validation System using Eigenfaces,” 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), Dhaka, Bangladesh, 2019, pp. 1-7
4. Faruqui N., Yousuf M.A., Chakraborty P., Hossain M.S. (2020) Innovative Automation Algorithm in Micro-multinational Data-Entry Industry. In: Cyber Security and Computer Science. ICONCS 2020, vol 325. Springer, Cham.
5. N. Faruqui and M. A. Yousuf, “Performance-accuracy Optimization of Face Detection in Human Machine Interaction,” 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, Bangladesh, 2019, pp. 38-43.
6. Rahaman, M. N., Chaki, S., Biswas, M. S., Biswas, M., Ahmed, S., Mahi, M. J. N., & Faruqui, N. (2022, June). Identifying the Signature of Suicidality: A Machine Learning Approach. In THEETAS 2022: Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India (p. 279). European Alliance for Innovation.
7. Trivedi, S., Patel, N., & Faruqui, N. (2022, October). NDNN-based U-Net: An Innovative 3D Brain Tumor Segmentation Method. In 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (pp. 0538-0546). IEEE.
8. Trivedi, S., Tran, T. A., Faruqui, N., & Hassan, M. M. (2023, February). An Exploratory Analysis of Effect of Adversarial Machine Learning Attack on IoT-enabled Industrial Control Systems. In 2023 International Conference on Smart Computing and Application (ICSCA) (pp. 1-8). IEEE.
9. Patel, N., Trivedi, S., & Faruqui, N. (2023, February). An Innovative Deep Neural Network for Stress Classification in Workplace. In 2023 International Conference on Smart Computing and Application (ICSCA) (pp. 1-5). IEEE.
10. Trivedi, S., Patel, N., & Faruqui, N. (2023, January). Bacterial Strain Classification using Convolutional Neural Network for Automatic Bacterial Disease Diagnosis. In 2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 325-332). IEEE.
11. Mahjabeen, Amira, et al. “Early Prediction and Analysis of DTI and MRI-Based Alzheimer’s Disease Through Machine Learning Techniques.” Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering: TCCE 2022. Singapore: Springer Nature Singapore, 2023.
12. Bera, Somnath, et al. “Identification of Mental State Through Speech Using a Deep Learning Approach.” Doctoral Symposium on Human Centered Computing. Singapore: Springer Nature Singapore, 2023.
13. Patel, Nikhil, Sandeep Trivedi, and Nuruzzaman Faruqui. “A Novel Sedentary Workforce Scheduling Optimization Algorithm using 2 nd Order Polynomial Kernel.” 2023 International Conference on Smart Computing and Application (ICSCA). IEEE, 2023.
14. Trivedi, Sandeep, et al. “Human Interaction and Classification Via K-ary Tree Hashing Over Body Pose Attributes Using Sports Data.” International Conference on Hybrid Intelligent Systems. Cham: Springer Nature Switzerland, 2022.
15. Trivedi, Sandeep, Nikhil Patel, and Nuruzzaman Faruqui. “A Novel Lightweight Lung Cancer Classifier Through Hybridization of DNN and Comparative Feature Optimizer.” International Conference on Hybrid Intelligent Systems. Cham: Springer Nature Switzerland, 2022.
16. Trivedi, Sandeep, Nikhil Patel, and Nuruzzaman Faruqui. “NDNN based U-Net: An Innovative 3D Brain Tumor Segmentation Method.” 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, 2022.

Books

Not stopping at papers, Nuruzzaman authored four influential books. Starting with “Open-Source Computer Vision for Beginners” in 2017 and “Learning Cloud Computing” in 2018, he laid the groundwork for future technologists. His 2022 book, “Trends in Cloud Computing,” further solidified his authority in the field. Most recently, his 2024 book, “Conflict Resolution: The Best Book to Learn Practical Conflict Resolution and Prevention Strategies,” reflects his dedication to applying technological insights to real-world problems, offering practical solutions for interpersonal and organizational conflicts.

Here is the list of books authored by Nuruzzaman Faruqui:

1. Open-Source Computer Vision for Beginners, Publisher: Amazon KDP, Published in: 2017
2. Learning Cloud Computing, Amazon KDP, Published in 2018
3. Trends in Cloud Computing, Publisher: Amazon KDP, Published in 2022
4. Conflict Resolution: The Best Book to Learn Practical Conflict Resolution and Prevention Strategies, Publisher: Amazon KDP, Published in 2024

Research Collaboration

Nuruzzaman Faruqui is a rising young researcher with multiple awards. His growing reputation has attracted researchers’ attention from industry and academia worldwide. Consequently, he has collaborated with over 20 authors from 11 countries across three continents. The following figure illustrates Nuruzzaman Faruqui’s research affiliations by country and continent:

The list of research collaborations:

#	Institution / Organization	Country	Type of Affiliation	Affiliation with
1	Queensland University of Technology	Australia	Research Collaboration	Dr. Alistair Barros
2	Queensland University of Technology	Australia	Research Collaboration	Dr. Md Whaiduzzaman
3	Swinburne University of Technology Sydney	Australia	Research Collaboration	Dr. A.K.M. Azad
4	University of Queensland	Australia	Research Collaboration	Dr. Mohammad Ali Moni
5	Centro Universitârio UniBTA, São Paulo	Brazil	Research Collaboration	Luiz Paulo Oliveira Paula
6	Kyoto University of Foreign Studies	Japan	Research Collaboration	Eric Charles Hawkinson
7	Deloitte Consulting LLP	United States of America (USA)	Research Collaboration	Sandeep Trivedi
8	University of Dubuque Iowa	United States of America (USA)	Research Collaboration	Nikhil Patel
9	Walmart Global Tech, Sunnyvale	United States of America (USA)	Research Collaboration	Sandesh Achar
10	Founding Chancellor e2D World School University	United States of America (USA)	Professional Collaboration	Bari Kahar
11	Data Scientist – Pricing, Device Economics at Amazon	United States of America (USA)	Professional Collaboration	Sandeep kumar Racherla
12	Coventry University	United Kingdom (UK)	Research Collaboration	Dr. Aziz Shal
13	Al-Balqa Applied University	Jordan	Research Collaboration	Dr. Albara Awajan
14	Al-Balqa Applied University	Jordan	Research Collaboration	Dr. Moutaz Alazab
15	Dubai Pharmacy College for Girls	United Arab Emirates	Research Collaboration	Dr. Aliasgar F. Shahiwala
16	Dubai Pharmacy College for Girls	United Arab Emirates	Research Collaboration	Samar Salam Qawoogha
17	Seoul National University	South Korea	Research Collaboration	Dr. Tien Anh Tran
18	King Abdulaziz University	The Kingdom of Saudi Arabia	Research Collaboration	Dr. Faris A. Kateb
19	King Abdulaziz University	The Kingdom of Saudi Arabia	Research Collaboration	Dr. Md. Abdul Hamid
20	King Abdulaziz University	The Kingdom of Saudi Arabia	Research Collaboration	Muhammad Mostafa Monowar
21	Vidyasagar University	India	Research Collaboration	Mr. Bachchu Paul
22	Mälardalen University	Sweden	Research Collaboration	Dr. Alamgir Kabir
23	Woosong University	South Korea	Research Collaboration	Dr. Jia Uddin
24	University Of Sharjah	United Arab Emirates	Research Collaboration	Dr. Saadat M. Alhashmi

Nuruzzaman Faruqui stands out as a luminary in the fields of Artificial Intelligence and education, with an impressive portfolio of awards, publications, and lectures that underscore his profound impact on academia and industry alike. His journey from an enthusiastic blogger to a revered Assistant Professor showcases a relentless pursuit of knowledge and excellence. Faruqui’s ability to simplify complex concepts, coupled with his dedication to fostering a stimulating learning environment, has earned him global recognition and a substantial digital following. His diverse career path, marked by significant contributions to Deep Learning, Computer Vision, and Cloud Computing, highlights his commitment to advancing technology and inspiring the next generation of innovators. Through his numerous collaborations and influential publications, Nuruzzaman Faruqui continues to shape the future of AI and education, leaving an indelible mark on both fields.