Education

Ph.D. in Computer Science, KAIST, Daejeon, Korea (2025)

MSc in Software Technology, Linnaeus University, Vaxjo, Sweden, 2012

BSc in Computer Science and Engineering, International Islamic University Chittagong, Bangladesh, 2009

TEACHING AREAS

Python Programming, Basic Computer Literacy, Artificial Intelligence and Digital Forensics, AI in the Area of Digital Transformation, Artificial Intelligence, Object Oriented Programming, Signal, Image, and Speech Processing

RESEARCH AREAS

Digital Pathology Image Diagnosis, Machine Fault Diagnosis

Career

Assistant Professor (March 2025- Till)

Human and Digital Interface Department, JW Kim College of Future Studies, Woosong University

Graduate Researcher (September 2020-February 2025)

Knowledge Engineering and Artificial Intelligence Laboratory, KEAI (https://keai.kaist.ac.kr/)

Selected Publications

M.E. Haque, M. Zabin, Jia Uddin, EnsembleXAI-Motor: A Lightweight Framework for Fault Classification in Electric Vehicle Drive Motors Using Feature Selection, Ensemble Learning and Explainable AI, Machines, SCIE, Q2, IF. 2.1, https://doi.org/10.3390/machines13040314 (April 2025)

M. Zabin, S.T.K. Ayon, F.M. Siraj, M.H. Shuvo, H.J. Choi, Jia Uddin, Few-Shot Learning-Based Machine Fault Diagnosis Using EMD-Gammatone Spectrogram with Limited Labeled Audio Dataset, In 2025 IEEE International Conference on Big Data and Smart Computing (BigComp), https://doi.ieeecomputersociety.org/10.1109/BigComp64353.2025.00046 Feb. 9-12, 2025, Kota Kinabalu, Malaysia.

M.Zabin, H.J. Choi, M.K. Kabir, A.N. Kabir, Jia Uddin, Machine Fault Diagnosis: Experiments with Different Attention Mechanisms Using a Lightweight SqueezeNet Architecture, Electronics, SCIE, IF: 2.6, https://doi.org/10.3390/electronics13163112 (August 2024)

M. Zabin, A. Binte Kabir, M. Kabir, H. Choi and J. Uddin, Machine Fault Diagnosis Using EMD-Gammatone Texture Representation and A Lightweight Self-Attention SqueezeNet, In 2024 IEEE International Conference on Big Data and Smart Computing (BigComp), pp. 32-39, https://doi.org/10.1109/BigComp60711.2024.00015 February 2024, Bangkok, Thailand.

M. Zabin, K.Kabir, AN. Kabir, H.J. Choi, Jia Uddin, Contrastive Self-supervised Representation Learning for Metal Surface Defect Detection, Journal of BigData, Springer, SCI, Q1, IF:10.835, https://doi.org/10.1186/s40537-023-00827-z (September 2023)

M. Zabin, H.J. Choi, Jia Uddin, Hybrid Deep Transfer Learning Architecture for Industrial Fault Diagnosis Using Hilbert Transform and DCNN–LSTM, Journal of Supercomputing, SCI, Springer, Q1, IF. 2.6, https://doi.org/10.1007/s11227-022-04830-8 (September 2022)

Zabin, M., Choi, H.J., Jung, Y. Quality Control of Whole Slide Pathology Images with Deep Semantic Segmentation. KSC 2022, Ramada Plaza, Jeju Island (December 2022)

M. Zabin, H.J. Choi, M. Islam, Jia Uddin, Impact of tuning parameters in deep convolutional neural network using a crack image dataset, The 15th KIPS International Conference on Ubiquitous Information Technologies and Applications (CUTE 2021), Jeju, Korea, Dec 15-17, 2021

M. Zabin, Ho-Jin Choi, Jia Uddin, H. Furhad, A. B. Ullah, Industrial Fault Diagnosis using Hilbert Transform and Texture Features, IEEE BigCom2021, Jeju, South Korea, January, https://doi.org/10.1109/BigComp51126.2021.00031 2021

Company Projects:

Project No and Title : 2021-02, Quality Control of Pathology Images

PIC : Prof. Ho-Jin Choi

Period : 2021. 02 ~ till

Department : R&D of SAMSUNG

Development Objectives
Development of the algorithm for Labeling Pathology Images
Development of a Software Tool for automatically classifying the Pathology Images

Students Projects

Digital Library using HTML, CSS, SQL

Machine Fault Diagnosis using lightweight Deep Learning Architectures

Education

Ph.D. 2011 - Giving up the Dead: The Impact and Effectiveness of the Human Tissue Act and the Guidance for the Care of Human Remains in English Museums

MS: 2003 - Master of Arts in Heritage Education and Interpretation

BS: 1999 - Bachelor of Arts in Archaeology

Teaching subjects

Anthropology, history, comparative history, heritage, museums, film studies, Great Minds, critical thinking.

Research area

My research focuses on archaeological and museological ethics, difficult histories, and the politics of heritage. I am particularly interested in how contentious narratives are presented and negotiated in museums and heritage, with a growing focus on South Korea. My interest in the use of aerial imagery stems from its use within the context of cultural heritage management.

Career

2021-ongoing. Woosong University – Assistant Professor

2014-2021 – Education in English, China. Head Teacher

2012-2012 – Junior lecturer, Newcastle University, England.

Selected Publications (reverse chronological order)

White, L. (2018) ‘Continuing Conflicts over the Excavation, Retention and Display of Human Remains: An Issue Resolved?’ in Campbell, S., White, L. and Thomas, S. (eds.) Competing Values in Archaeological Heritage. London: Springer

White, L., Campbell, S. and Thomas, S. (2018) ‘Introduction’ in Campbell, S., White, L. and Thomas, S. (eds.) Competing Values in Archaeological Heritage. London: Springer

Campbell, S., White, L. and Thomas, S. (2018) Competing Values in Archaeological Heritage. London: Springer

Giesen, M. and White, L. (2013) ‘International Perspectives Towards Human Remains Curation’ in Giesen, M. (ed.) Curating Human Remains: Caring for the Dead in the United Kingdom. Suffolk: Boydell Press, 13-24

White, L. (2013) ‘The Impact and Effectiveness of the Human Tissue Act 2004 and the Guidance for the Care of Human Remains in Museums in England’ in Giesen, M. (ed.) Curating Human Remains: Caring for the Dead in the United Kingdom. Suffolk: Boydell Press, 43-52

Bell, L. (2010) ‘Museums, Ethics and Human Remains in England: Recent Developments and Implications for the Future’ in Turnbull, P. and Pickering, M. (eds.) The Long Way Home: the Meanings and Values of Repatriation. Sydney: Berghahn Books, 29-34

Education

Ph.D. in Computer Engineering, University of Ulsan, Korea (2015)

MSc in Electrical Engineering Emphasis on Telecommunication, Blekinge Institute of Technology, Sweden, 2010

BSc in Computer and Communication Engineering, International Islamic University Chittagong, Bangladesh, 2005

Teaching subjects:

Database, Time Series Analytics, Introduction to Data Analytics, Data Analytics for Management, MIT Mobile Apps Development, Data Visualization, Principles of Data Science, Machine Learning and Its Application in Modern Industries, Special Topics in Data Analytics, Exploratory Data Analysis and Visualization, Signal, Speech, and Image Processing

Research area

Fault Diagnosis, AI Based Solutions for Real-life Problems

Career

Associate Professor (April 2025- till)
Artificial Intelligence and Big Data Department, Endicott College, Woosong University

Assistant Professor (December 2019- March 2025)
Artificial Intelligence and Big Data Department, Endicott College, Woosong University

Associate Professor (July 2018- November 2019)
Department of Computer Science and Engineering, Brac University, Bangladesh

Assistant Professor (May 2015- 30 June 2018)
Department of Computer Science and Engineering, Brac University, Bangladesh

PhD Researcher (18th September 2011-December 2014)
Embedded System Lab, University of Ulsan, Room 303, Building 7, Ulsan, South Korea, http://eucs.ulsan.ac.kr/student

Assistant Professor (1st February 2011- August 2011) &(December 2014-April 2015)
Department of Computer and Communication Engineering, Faculty of Science and Engineering, International Islamic University Chittagong, Bangladesh

Lecturer (14th August 2005-31st Jan 2011)
Department of Computer and Communication Engineering, Faculty of Science and Engineering, International Islamic University Chittagong, Bangladesh

Visiting Faculty (April 2023)
University of Foggia, Foggia, Italy, https://www.unifg.it/en

Invited Faculty (Summer 2021)
Telkom University, Indonesia, https://telkomuniversity.ac.id/

Visiting Faculty (April 2017)
Staffordshire University, Stoke on Trent, United Kingdom, https://www.staffs.ac.uk/

Selected Publications

S. Rahman, N.I. Nayeem, S. Mahbuba, S.I. Disha, R.H. Buiyan, M.A. Wadud, Jia Uddin, A YOLOv11-Based Deep Learning Framework for Multi-Class Human Action Recognition, CMC-Computers, Materials & Continua, USA, SCI (Web of Science), https://doi.org/10.32604/cmc.2025.065061 (July 2025)

J. Datta, R. Rabbi, P. Saha, A.N. Zereen, M.A. Wadud, Jia Uddin, Deep Representation Learning using Layer-wise VICReg Losses, Scientific Reports, SCIE, Q1, https://doi.org/10.1038/s41598-025-08504-2 (June 2025)

K.M. Sujon, R.B. Hassan, M.A. Wadud, Jia Uddin, OPTISTACK: A Hybrid Ensemble Learning and XAI-Based Approach for Malware Detection in Compressed Files, IEEE Access, SCI (Web of Science), Q1, https://doi.org/10.1109/ACCESS.2025.3579880 (June 2025)

M.H.K. Mehedi, K.F.Z. Nafis, K.H. Charu, Jia Uddin, M.G.R. Alam, M. F. Mridha, ArsenicNet: An Efficient Way of Arsenic Skin Disease Detection Using Enriched Fusion Xception Model, PLOS ONE, SCIE, Q1, I.F. 2.9, https://doi.org/10.1371/journal.pone.0322405 (May 2025)

M.R. Islam, M. Begum, M. N. Akhtar, Jia Uddin, Novel approach to determine release day by addressing stochastic nature of software fault data, Data Science and Management, Science Direct, Elsevier, Q1, IF: 1.37, https://doi.org/10.1016/j.dsm.2025.05.003 (May 2025)

M.E. Haque, M. Zabin, Jia Uddin, EnsembleXAI-Motor: A Lightweight Framework for Fault Classification in Electric Vehicle Drive Motors Using Feature Selection, Ensemble Learning and Explainable AI, Machines, SCIE, Q2, IF. 2.1, https://doi.org/10.3390/machines13040314 (April 2025)

Jia Uddin, A Novel Lightweight Deep Learning Approach for Driver’s Facial Expression Detection, Design, Scopus, Q2, https://doi.org/10.3390/designs9020045 (April 2025)

R. Karim, S. Mahdi, A. Samin, A.N. Zereen, M.A. Wadud, Jia Uddin, Optimizing Stroke Recognition with MediaPipe and Machine Learning: An Explainable AI Approach for Facial Landmark Analysis, IEEE Access, SCI, Q1, https://doi.org/10.1109/ACCESS.2025.3550577 (March 2025)

T. Hossain, Ar-Rafi Islam, H. K. Mehedi, A. A. Wadud, Jia Uddin, BanglaNewsClassifier: A Machine Learning Approach for News Classification in Bangla Newspapers using Hybrid Stacking Classifiers, Plos ONE, SCI, Q1, https://doi.org/10.1371/journal.pone.0321291 (March 2025)

R. S. Aoyon, I. Hossain, M. A. Wadud, Jia Uddin, A Secured and Continuously Developing Methodology for Breast Cancer Image Segmentation via U-Net Based Architecture and Distributed Data Training, Computer Modeling in Engineering & Sciences,CMES, SCIE, Q2, https://doi.org/10.32604/cmes.2025.060917 (February 2025)

S.T.K. Ayon, F.M. Siraj, Jia Uddin, Steel Surface Defect Detection Using Learnable Memory Vision Transformer, Computers, Materials, & Continua, SCIE (Q2), https://doi.org/10.32604/cmc.2025.058361 (January 2025)

Details publications are available here:

https://sites.google.com/view/drjiauddin/publications?authuser=0

Company Projects

Project No and Title: 2021-01, Development of the face identification algorithm using image processing techniques

PIC: Researcher Kim WooJoong

Period: 2020. 11. 14 ~ 2021. 04. 30.

Department: R&D of Co. Gonghoon

Development Objectives :
Development of the algorithm for the Face Detection
Development of user face registration algorithm for Facial Identification System
Development of discriminant algorithm for Facial Identification System

Students Projects

https://www.youtube.com/watch?v=Hp82SSEJaGw&list=PLBCl_YTw-sA2lZAVILhjrr...

https://www.youtube.com/watch?v=gJLBr1jyWmw&feature=youtu.be

https://www.youtube.com/watch?v=M_7DQt0sgFM&feature=youtu.be

https://www.youtube.com/watch?v=nSZbdgrL5w8

https://www.youtube.com/watch?v=y__4gokecTs

Education

Ph.D. 2019

MS 2014

BS 2011

Teaching Subjects

Math in AI, Computer vision, introduction to Python, introduction to Robotics, IIoT

Research area

Artificial Intelligence, Machine learning, cryptography, Internet of Things, Big Data, Blockchain Technology, WSN, and Security,

Career

March 2023~Present, Assistant Professor in the Department of AI and Big Data, Woosong University, Daejeon Korea

March 2020~ Feb2023, Assistant Professor in the Department of Industrial and System Engineering, Dongguk University, Seoul, South Korea,

Sep. 2019~Feb. 2020 work as postdoctoral research fellow in Kunsan national university

Sep 2015~2016-years research experience as a research scholar in Seoul National University of Science and Technology, South Korea.

Teaching Assistantship during M.E., in Thapar University, Patiala, India (2012-2014)

Industrial Training at Hawlet Packard training center in Noida (June-July 2010)

Selected Publications

Abir Das,, Saurabh Singh, Jaejeung Kim, Tariq Ahamed Ahanger, and Anil Audumbar Pise. "Enhanced EEG signal classification in brain computer interfaces using hybrid deep learning models." Scientific Reports 15, no. 1 (2025): 27161.

• Jayameena Desikan,, Sushil Kumar Singh, A. Jayanthiladevi, Saurabh Singh, and Byungun Yoon. "Dempster Shafer-empowered machine learning-based scheme for reducing fire risks in IoT-enabled industrial environments." IEEE Access 13 (2025): 46546-46567.
• Saurabh Singh, Anil Pise, and Byungun Yoon. "Prediction of bitcoin stock price using feature subset optimization." Heliyon 10, no. 7 (2024).
• Jain, Sharad, Ashwani Kumar Yadav, Raj Kumar, Indra Kumar Shah, Prashant Kumar, Saurabh Singh, and In-Ho Ra. "Artificial Neural Network Based Spectrum Sensing in Wireless Regional Area Network." IEEE Access (2024).
• Anil Pise, Byungun Yoon, and Saurabh Singh. "Enabling Ambient Intelligence of Things (AIoT) healthcare system architectures." Computer Communications 198 (2023): 186-194. (2023)
• Saurabh Singh, C. Rajesh Babu, Kadiyala Ramana, In-Ho Ra, and Byungun Yoon. "BENS− B5G: Blockchain-Enabled Network Slicing in 5G and Beyond-5G (B5G) Networks." Sensors 22, no. 16 (2022): 6068.
• Singh, Saurabh, Anil Pise, Osama Alfarraj, Amr Tolba, and Byungun Yoon. "A cryptographic approach to prevent network incursion for enhancement of QoS in sustainable smart city using MANET." Sustainable Cities and Society 79 (2022): 103483.
• Rouf, Nusrat, Majid Bashir Malik, Sparsh Sharma, In-Ho Ra, Saurabh Singh, and Abhishek Meena. "Impact of Healthcare on Stock Market Volatility and Its Predictive Solution Using Improved Neural Network." Computational Intelligence and Neuroscience (2022).
• Saurabh Singh, Shailendra Rathore, Osama Alfarraj, Amr Tolba, and Byungun Yoon. "A framework for privacy-preservation of IoT healthcare data using Federated Learning and blockchain technology." Future Generation Computer Systems 129 (2022): 380-388.
• Saurabh Singh, Surbhi Sharma, Sparsh Sharma, Osama Alfarraj, Byungun Yoon, and Amr Tolba. "Intrusion Detection System based Security Mechanism for Vehicular ad-hoc Networks for Industrial IoT." IEEE Consumer Electronics Magazine (2021).
• Ghosh, Joydev, In-Ho Ra, Saurabh Singh, Hüseyin Haci, Khaled A. Al-Utaibi, and Sadiq M. Sait. "On the comparison of optimal NOMA and OMA in a paradigm shift of emerging technologies." IEEE Access 10 (2022): 11616-11632.

For more Detail

Google Scholar Link: https://scholar.google.co.kr/citations?user=yBKc5fAAAAAJ&hl=en

Selected Projects

RISE Project 2025-Sep to 2026-Feb “Development of AI-based autonomous driving technology for multipurpose reconnaissance robots” S. korea, Approx. 15K USD

2016-2017 “Development of an immersive and interactive NUI/NUX Platform for Invoked Reality Contents” supported by Institute for Information and Communications Technology Promotion (IITP), South Korea, $6K

2016-2017 “Developing a Green Smart Home Security Framework for Next Generation IoT Environment” supported by National Research Foundation (NRF), South Korea, $250K

2018-2020 “Development of blockchain-based embedded devices and platform for MG security and operational efficiency” supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) $420K

2019-2020, “Research on Improvement of Fungicidal and Insecticidal Efficiency Using Multicopter” $19K

03.2018-12.2018, “Development of Public Safety Service Technologies based on Big Data and IoT”, supported by Ministry of Science, ICT, Korea, $750K

PROFESSIONAL ACTIVITIES

Guest Editor of Special Issue on “AI-enabled Threat Intelligence for Mobile Cyber-Physical Systems”, CMC-Computers Materials & Continua Metrics

Guest Editor of Special Issue on “Blockchain Security in Cloud Computing”, Future Internet

Guest Editor of Special Issue on "Integration of Green ICTs and Industry into Green Governance for a Sustainable Ecosystem" Sustainability

Guest Editor of Special Issue on “Emerging Applications of Artificial Intelligence, Machine learning and Data Science”, CMC-Computers Materials & Continua Metrics

PATENTS

TITLE: SYSTEM AND METHOD FOR BLOCKCHAIN BASED SECURE MEDICAL RECORDS

TYPE OF AGENCY: NATIONAL

PATENT NUMBER: 202041007004

Education

Ph.D. in Applied Economics, Vrije Universiteit Brussel (Belgium), 2011

MS in Money, Banking and Finance, The University of Birmingham 2001

BSs in Labor Economics, Andijon Institute of Engineering and Economics, 1999

Teaching subjects

Economics, Statistics, Data analytics, Python for Business

Research area

Drivers and impact of Industry 4.0. Energy, Financial Literacy and decisions

Career

2018 February– present
Assistant Professor at Woosong University, South Korea

2014 January– 2018 January
Dean for Research and Postgraduate Studies at Westminster International University in Tashkent

2013 January– 2014 January
Research Assistant, Office of the Chief Economist, European Bank for Reconstruction and Development, London, UK

2012 February– 2013 January
Senior Lecturer at Westminster International University in Tashkent (university with UK accreditation)

2005 January– 2009 January
Senior Lecturer at Westminster International University in Tashkent

2001 September– 2005 January
Senior Lecturer at Andijan Institute of Engineering and Economics

2001 March– 2005 January – Economist – Uzbek Energo, Energy company responsible for distribution of energy.

Selected Publications

Ahunov, M. and Van Hove, L., 2025. Online Grocery Shopping in Russia: A Comment on Olumekor, Singh, and Alhamad. Econ Journal Watch, 22(2), pp.285-295.

Ahunov, M. and Van Hove, L., (2025). Are You Financially Literate or Not? Experimental Evidence on Discrepancies between Two Metrics. Finance a úvěr-Czech Journal of Economics and Finance, 75(1), pp. 59-75. DOI: doi.org/10.32065/CJEF.2025.01.03

Ahunov, M. and Van Hove, L., (2025). Does mobile payment adoption really increase online shopping expenditure in China? Econ Journal Watch, 22(1), pp. 69-90. scopus.com/inward/record.url?scp=105002749594&partnerID=8YFLogxK

Van Hove, L. and Ahunov, M., (2024). Financial literacy: different indicator, different insights?. Cogent Economics & Finance, 12(1), p.2437005. Van Hove, L. and Ahunov, M., (2024). How reliable are financial-literacy country rankings?. Economics Bulletin, 44(4), pp.1457-1463.

He, Y. and Ahunov, M., (2022). Financial Literacy: The Case of China. China & World Economy, 30(5), pp. 75-101. DOI: doi.org/10.1111/cwe.12438 Ozsoy, O. and Ahunov, M. (2023), "Hedonic housing values in a transition economy: the case of Tashkent", International Journal of Housing Markets and Analysis, Vol. 16 No. 5, pp. 853-872. DOI: doi.org/10.1108/IJHMA-03-2022-0042

Selected Projects

2022 June– 2023 January, Consultant to develop Dynamic Stochastic General Equilibrium Model for Kyrgyz Republic for National Bank of Kyrgyz Republic” Project funded by the National Bank of Korea.

2021 March – 2021 November, Consultant to develop a model and user Manual “Macroeconomic Model for National Bank of Kyrgyz Republic” Project funded by the National Bank of Korea.

2017 May – 2017, October. Consultant to write a book chapter “Financial Inclusion, Regulation and Education in Uzbekistan,” Asian Development Bank Institute

2015, December –2017, May. Consultant to write a research paper “Good jobs and labour market policies in Uzbekistan”, Asian Development Bank

2014, May – 2014, October, Consultant to create a database and the statistical analysis of randomized control study on child nutrition in Karakalpak Republic of Uzbekistan. United Nations International Children’s Emergency Fund

2014, May – 2014, December. Consultant to do an impact assessment of the female entrepreneur lending program “Small Business and Entrepreneurship Development Project,” Asian Development Bank

Education

Ph.D. Indian Institute of Technology (Indian School of Mines), India (2022)

M.Tech Indian Institute of Technology (Indian School of Mines), India (2017)

B.Tech Biju Patnaik University of Technology, India (2014)

TEACHING AREAS

Cloud computing, advanced topics in machine learning, web analytics

RESEARCH AREAS

Artificial intelligence applications in prognostics and health management of motos, industrial robots, electric vehicles

Career

Assistant Professor (April 2025 – till date) Woosong University Daejeon

Assistant Professor (March 2023 – March 2025) Dongguk University Seoul

Visiting Professor (May 2022 – February 2023) Dongguk University Seoul

Selected Publications

*Journal Papers

P. Kumar and A. S. Hati, "Review on machine learning algorithm based fault detection in induction motors," Archives of Computational Methods in Engineering, vol. 28, no. 3, 2021.

P. Kumar and A. S. Hati, "Deep convolutional neural network based on adaptive gradient optimizer for fault detection in SCIM," ISA Transactions, vol. 111, pp. 350–359, 2021.

P. Kumar and A. S. Hati, "Convolutional neural network with batch normalisation for fault detection in squirrel cage induction motor," IET Electric Power Applications, vol. 15, no. 1, pp. 39–50, 2021.

P. Kumar and A. S. Hati, "Transfer learning-based deep CNN model for multiple faults detection in SCIM," Neural Computing and Applications, vol. 33, no. 22, pp. 15851–15862, 2021.

P. Kumar and A. S. Hati, "Dilated convolutional neural network based model for bearing faults and broken rotor bar detection in squirrel cage induction motors," Expert Systems with Applications, vol. 191, p. 116290, 2022.

P. Kumar, P. Kumar, A. S. Hati, and H. S. Kim, "Deep transfer learning framework for bearing fault detection in motors," Mathematics, vol. 10, no. 24, p. 4683, 2022.

I. Raouf, P. Kumar, H. Lee, and H. S. Kim, "Transfer learning-based intelligent fault detection approach for the industrial robotic system," Mathematics, vol. 11, no. 4, p. 945, 2023.

A. S. Hati and P. Kumar, "An adaptive neural fuzzy interface structure optimisation for prediction of energy consumption and airflow of a ventilation system," Applied Energy, vol. 337, p. 120879, 2023.

P. Kumar, S. Khalid, and H. S. Kim, "Prognostics and health management of rotating machinery of industrial robot with deep learning applications—A review," Mathematics, vol. 11, no. 13, p. 3008, 2023.

P. Kumar, I. Raouf, and H. S. Kim, "Review on prognostics and health management in smart factory: From conventional to deep learning perspectives," Engineering Applications of Artificial Intelligence, vol. 126, p. 107126, 2023.

A. Vatsa, A. S. Hati, P. Kumar, M. Margala, and P. Chakrabarti, "Residual LSTM-based short duration forecasting of polarization current for effective assessment of transformers insulation," Scientific Reports, vol. 14, no. 1, p. 1369, 2024.

M. M. Azad and P. Kumar, H. S. Kim, "Delamination detection in CFRP laminates using deep transfer learning with limited experimental data," Journal of Materials Research and Technology, vol. 29, pp. 3024–3035, 2024.

J. Song, P. Kumar, Y. Kim, and H. S. Kim, "A fault detection system for wiring harness manufacturing using artificial intelligence," Mathematics, vol. 12, no. 4, p. 537, 2024.

P. Kumar, I. Raouf, and H. S. Kim, "Transfer learning for servomotor bearing fault detection in the industrial robot," Advances in Engineering Software, vol. 194, p. 103672, 2024.

P. Kumar, S. Park, Y. Zhang, S.-H. Jo, H. S. Kim, and T. Kim, "A review of hydraulic cylinder faults, diagnostics, and prognostics," International Journal of Precision Engineering and Manufacturing-Green Technology, vol. 11, no. 5, pp. 1637–1661, 2024.

I. Raouf, P. Kumar, and H. S. Kim, "Deep learning-based fault diagnosis of servo motor bearing using the attention-guided feature aggregation network," Expert Systems with Applications, vol. 258, p. 125137, 2024.

S. Kumar, S. K. Singh, S. Varshney, S. Singh, P. Kumar, B.-G. Kim, and I.-H. Ra, "Fusion of deep sort and Yolov5 for effective vehicle detection and tracking scheme in real-time traffic management sustainable system," Sustainability, vol. 15, no. 24, p. 16869, 2023.

P. Kumar, A. S. Hati, and P. Kumar, "Bearing fault diagnosis in induction motor using hybrid CNN model," International Journal of Adaptive Control and Signal Processing, 2023.

S. Jain, A. K. Yadav, R. Kumar, I. K. Shah, P. Kumar, S. Singh, and I.-H. Ra, "Artificial neural network based spectrum sensing in wireless regional area network," IEEE Access, vol. 12, pp. 48941–48950, 2024.

P. Kumar, A. S. Hati, and H. S. Kim, "Electric vehicle motor fault detection with improved recurrent 1D convolutional neural network," Mathematics, vol. 12, no. 19, 2024.

P. Kumar, I. Raouf, J. Song, and H. S. Kim, "Multi-size wide kernel convolutional neural network for bearing fault diagnosis," Advances in Engineering Software, vol. 198, p. 103799, 2024.

M. M. Azad, J. Jung, M. U. Elahi, M. Sohail, P. Kumar, and H. S. Kim, "Failure modes and non-destructive testing techniques for fiber-reinforced polymer composites," Journal of Materials Research and Technology, 2024.

I. Raouf, P. Kumar, S. Khalid, and H. S. Kim, "Comprehensive analysis of current developments, challenges, and opportunities for the health assessment of smart factory," International Journal of Precision Engineering and Manufacturing-Green Technology, pp. 1–18, 2025.

P. Kumar, H. S. Kim, S. Kim, H.-S. Kim, and J. Moon, "Recent advances in artificial intelligence-driven prognostics and health management of mobility batteries," Multiscale Science and Engineering, pp. 1–16, 2025.

P. Kumar, S. Singh, and D. Y. Song, "Investigation of transfer learning method for motor fault detection," Machines, vol. 13, no. 4, p. 329, 2025.

P. Kumar, M. Tanveer, K. Park, I. Raouf, and H. S. Kim, "A systematic review of prognostics and health management in mobility batteries," International Journal of Precision Engineering and Manufacturing-Green Technology, pp. 1–24, 2025.

P. Kumar, "Transfer learning for induction motor health monitoring: A brief review," Energies, vol. 18, no. 14, p. 3823, 2025.

P. Prince, B. Yoon, and P. Kumar, "Fault detection and diagnosis in air-handling unit (AHU) using improved hybrid 1D convolutional neural network," Systems, vol. 13, no. 5, p. 330, 2025.

Conference Papers

P. Kumar, A. S. Hati, S. Padmanaban, Z. Leonowicz, and P. Chakrabarti, "Amalgamation of transfer learning and deep convolutional neural network for multiple fault detection in SCIM," in 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), pp. 1–6, 2020.

A. K. Sinha, P. Kumar, and A. S. Hati, "ANN based fault detection scheme for bearing condition monitoring in SRIMs using FFT, DWT and band-pass filters," in 2020 International Conference on Power, Instrumentation, Control and Computing (PICC), pp. 1–6, 2020.

P. Kumar, I. Raouf, H. Lee, and H. S. Kim, "Bearing fault detection of industrial robot servomotor under variable operating conditions," in 대한기계학회 춘추학술대회, pp. 1593–1594, 2022.

S. Kim, P. Kumar, H. S. Kim, and J. Son, "데이터 증강 및 기계학습 기반의 내재모드함수 에너지를 이용한 적층 복합재 결함 탐지," in 대한기계학회 춘추학술대회, pp. 2280–2281, 2022.

I. Raouf, P. Kumar, H. Lee, and H. S. Kim, "Prognostic health management for strain wave gear reducer under different operating conditions," in 대한기계학회 춘추학술대회, p. 822, 2022.

P. Kumar, I. Raouf, Y. R. Noh, and H. S. Kim, "Explainable deep learning model for bearing fault detection in industrial robots," in 대한기계학회 춘추학술대회, pp. 120–121, 2023.

P. Kumar, I. Raouf, and H. S. Kim, "Industrial robot bearing fault detection using scalogram and convolutional neural network," in 대한기계학회 춘추학술대회, p. 59, 2023.

I. Raouf, P. Kumar, and H. S. Kim, "Health diagnosis of an industrial robotic servo motor using the application of deep learning," in 대한기계학회 춘추학술대회, pp. 1329–1330, 2023.

P. Kumar, I. Raouf, and H. S. Kim, "Vision transformer for bearing fault detection in motors," in 대한기계학회 춘추학술대회, pp. 217–218, 2024.

I. Raouf, P. Kumar, and H. S. Kim, "Rotating machinery fault detection and prognostics for smart factory applications," in 대한기계학회 춘추학술대회, pp. 139–140, 2024.

I. Raouf, P. Kumar, and H. S. Kim, "Development of a condition health monitoring strategy for industrial robotic reducers from traditional approaches to customized deep learning models," in 대한기계학회 춘추학술대회, p. 1092, 2024.

A. K. Sinha, M. Pushkarna, and P. Kumar, "A comparative analysis of electric vehicles charging-discharging topologies for sustainable energy," in 2024 International Conference on Communication, Control, and Intelligent Systems (CCIS), pp. 1–6, 2024.

R. S. Tiwari, A. K. Sinha, and P. Kumar, "Analysis of VSC-HVDC system in the asynchronously operating grids during AC line faults," in 2025 IEEE 1st International Conference on Smart and Sustainable Developments in Electrical Engineering (SSDEE), pp. 1–5, 2025.

M. Tanveer, P. Kumar, and H. S. Kim, "Data-driven prognostics and health management for lithium-ion batteries," in 대한기계학회 춘추학술대회, pp. 163–164, 2025.

Book Chapters

P. Kumar and A. S. Hati, "Support vector classifier-based broken rotor bar detection in squirrel cage induction motor," in Machines, Mechanism and Robotics: Proceedings of iNaCoMM 2019, pp. 429–438, Springer Singapore, 2021.

P. Kumar, A. S. Hati, P. Kumar, and H. S. Kim, "Bearing fault diagnosis in induction motor using hybrid CNN model," in International Conference on Industrial Problems on Machines and Mechanism, pp. 411–418, Springer, 2022.

A. K. Sinha, P. Kumar, and P. Kumar, "Electric vehicle: Types, charging topologies, energy storage management system and applicability micro-grids–A review," Nova Science Publishers, Inc., 2024.

SPECIALIZATION

Artificial Intelligence (AI), Internet of Things (IoT), Cyber Security, Cloud and Edge Computing, and Blockchain Technology

EDUCATION

Ph.D. in Computer Science and Engineering, Feb. 22, 2017
Jeonbuk National University, Jeonju 54896, South of Korea

M.S. in Computer Engineering, Feb. 22, 2013
Jeonbuk National University, Jeonju 54896, South Korea

B.Sc. in Computer Science and Engineering, April 10, 2010
East West University, Dhaka 1212, Bangladesh

PROFETIONAL ACITIVITIES

Assistant Professor (from Nov. 2022 to Present)
Department of Artificial Intelligence and Big Data Woosong University, Daejeon 34606, South Korea

Teaching

Undergraduate Courses:

Data Structure and Algorithm

Introduction to Machine Learning

Data Mining

Advanced Topics in Machine Learning

Computational Thinking and App

Introduction to Artificial Intelligence

Deep Learning

Graduate Courses:

Artificial Intelligence

Machine Learning and Deep Learning

Neural Network Architectures

Supervision:

Master’s and PhD Students

Assistant Professor (from Dec. 2020 to Aug. 2022)

Division of Computer Science and Engineering

Jeonbuk National University, Jeonju 54896, South Korea

Assistant Professor/Contract Professor (from Sept. 2019 to Aug. 2020)

Division of Computer Science and Engineering

Jeonbuk National University, Jeonju 54896, South Korea

External Researcher (from April 2022 to Feb. 2023)

Funding: Korea Research Foundation (NRF)

Project: Study on 5G-based Intelligent Resource Allocation Optimization
School of Computer, Information and Communication Engineering
Kunsan National University, Gunsan 54150, South Korea

Postdoctoral Researcher (from Oct. 2020 to Nov. 2020)

Project: Big Data Platform and Data Center Construction
Division of Computer Science and Engineering, College of Engineering
Jeonbuk National University, Jeonju 54896, South Korea

Postdoctoral Researcher (from April 2018 to Aug. 2019)

Funding: Hope-IT Human Resource Development Center
Division of Computer Science and Engineering, College of Engineering
Jeonbuk National University, Jeonju 54896, South Korea

Postdoctoral Researcher (from Mar. 2017 to Dec. 2017)

Funding: Kunsan University Industry-Academic Corporation Foundation

Project: Disaster Safety Networks Design
School of Computer, Information and Communication Engineering
Kunsan National University, Gunsan 54150, South Korea

Editorial Board Member:

Editor (2024 to Present): Sustainable Computing: and Informatics and Systems, Elsevier (Indexing SCIE)
https://www.sciencedirect.com/journal/sustainable-computing-informatics-and-systems/about/editorial-board

Editor (2024 to Present): Computer Standard and Interfaces, Elsevier (Indexing SCIE)
https://www.sciencedirect.com/journal/computer-standards-and-interfaces/about/editorial-board

Editor (2024 to Present): Journal of Universal Computer Science (J.UCS), Technische Universitat Graz, Austria, (Indexing SCIE)
https://lib.jucs.org/browse_journal_groups.php?display_board_group=1&journal_name=jucs&lang=&journal_id=109&grp_id=268&p=6

Associate Editor (2024 to Present): Journal of Applied Science and Engineering (JASE), Tamkang University Press (Indexing SCOPUS and ESCI)
http://jase.tku.edu.tw/about/editors

Associate Editor (2024 to Present): Journal of Data, Information and Management, Springer (Indexing SCOPUS and ESCI)
https://link.springer.com/journal/42488/editorial-board

Associate Editor (2024 to Present): Journal of Multimedia Information System, KMS, (Indexing KCI)
https://www.jmis.org/info/editorial_board

Associate Editor (2024 to Present): Journal of Industrial and Management Optimization, (Indexing SCIE)
https://www.jmis.org/info/editorial_board

Section Editor (2024 to Present): Computing and Informatics, Slovak Academy of Sciences, Bratislava (Indexing SCIE)
https://www.cai.sk/ojs/index.php/cai

Executive Editor (2024 to Present): Transactions on Emerging Telecommunications Technologies, Wiley, (indexing SCIE)
https://onlinelibrary.wiley.com/journal/21613915

Topical Advisory Panel Member (2022 to Present):

BioMedInformatics, MDPI (Indexing SCOPUS)
https://www.mdpi.com/journal/biomedinformatics/topical_advisory_panel

Guest Editor: Special Issues:

“Cybersecurity Challenges in IoT-Driven Geospatial Information Systems,” Kuwait Journal of Science, Elsevier (indexing SCIE), Aug. 1, 2025 to Dec. 12 2025.
https://www.sciencedirect.com/special-issue/324597/cybersecurity-challenges-in-iot-driven-geospatial-information-systems?fbclid=IwY2xjawL6hnFleHRuA2FlbQIxMQABHs29TgHX7zzZr0G3tGTcaxWLszMpZ0pMrJ-sGkwKC_AU5vsoYNdNoRBUJJMt_aem_lRDn2Ou1eDnHrAeFMRkjmA

“Advances in AI-Driven Mathematical Modeling for Model Predictive Control in Engineering Systems,” Network and Heterogenous Media, AIMS Press, (Indexing SCIE), July 1, 2025 to Dec. 25, 2025.
https://www.aimspress.com/nhm/article/7039/special-articles?fbclid=IwY2xjawL6h2BleHRuA2FlbQIxMQABHibcop0PzECuUzrfLsz4VNW0foDOJrfuaKsM6G25r3XPbevYeQhIXFknn8jT_aem_Nj7QGr14ojuA0VTXkmkF4g

“Antenna Technology for Satellite Remote Sensing Design, Optimization, and Validation,” Emerging Telecommunications Technology, Wiley, (Indexing SCIE), July 30, 2025 to Feb. 15, 2026.
https://onlinelibrary.wiley.com/page/journal/21613915/call-for-papers/si-2025-000930?fbclid=IwY2xjawL6hsVleHRuA2FlbQIxMQABHsXEoRpdPaQxi7a2wFCWqL5-0d0u1RF-4kGnuzLLvubljHKRl13zdp5MV3QC_aem_F39krM8Jal9oDKYuBAb22g

“Superior Signal Processing Methods for VANET Communication,” Traitement Du Signal, IIETA (indexing SCIE), Jun 16 to Sept. 15, 2025.
https://iieta.org/Journals/TS/news/20437

“Advanced AI Techniques for Multimodal Biometrics Systems in Security Applications,” IET Biometrics, Wiley (Indexing SCIE), March 15, 2025 to Jan. 19, 2026.
https://ietresearch.onlinelibrary.wiley.com/doi/toc/10.1049/IETBM.si.704324?fbclid=IwY2xjawL9WttleHRuA2FlbQIxMQABHsrbP5YAC7A7f0H_pLic05AagWbd_LdDGbyctErCxarxqL95AIPD5S49AyTh_aem_mPMdE71BII7k3KN2K5mUTg

“Intelligent IoT Systems: Challenges and Opportunities in Sensing, Computing, and Communications,” Electronics, MDPI (Indexing SCIE), March 6, to Dec. 12, 2023.
https://www.mdpi.com/journal/electronics/special_issues/BIV4BA777O

“Privacy-Aware IoT Task Offloading in Green Edge Computing,” Electronics, MDPI (Indexing SCIE), March 21 to April 30, 2022.
https://www.mdpi.com/journal/electronics/special_issues/Computing_electronics

Reviewer (Selected Journals):

Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Industrial Informatics

IEEE Internet of Things Journal

IEEE Transactions on Intelligent Transportation Systems

IEEE Transactions on Network Science and Engineering

IEEE Transactions on Network and Service Management

Transactions on Consumer Electronics

IEEE Journal of Selected Topics in Signal Processing

IEEE Access

ACM Transactions on Internet Technology

Future Generation Computer Systems

International Journal of Communication Systems

Transactions on Emerging Telecommunication Technologies

Neural Computing and Applications

Sensors

Electronics

Energies

Symmetry

Sustainability

Applied Sciences

ISPRS International Journal of Geo-Information

Journal of Ambient Intelligence and Humanized Computing

Journal of Sensor and Actuator Networks

Peer-to-Peer Networking & Applications

Multimedia Tools and Applications

The Journal of Super Computing

IET Information Security

Reviewer Profile:

ORCiD (Peer review): https://orcid.org/0000-0003-0934-0995

Or Web of Science (Peer review): https://www.webofscience.com/wos/author/record/U-7176-2019

Program Committee Member: (Selected):

013 International Conference on Future Information & Communication Engineering, China.

2014 International Conference on Future Information & Communication Engineering, Hong Kong.

2015 International Conference on Future Information & Communication Engineering, Malaysia.

2016 International Conference on Wireless Communication and Sensor Network, China.

2017 International Conference on Computer Engineering and Information System, China.

2017 International Conference on Future Information and Communication Engineering, Russia.

2018 International Conference on Future Information and Communication Engineering, Thailand.

2020 ACM Workshop on "Recent Trends of Internet of Softwarized Things (IoST-5G&B), Japan.

2020 International Conference on Trends in Computational and Cognitive Engineering, Bangladesh.

2021 International Conference on Big Data IoT and Machine Learning (BIM 2021), Bangladesh

2021 International Conference on Applied Intelligence and Informatics, Nottingham- UK.

2021 9th Annual Conference on Geo-Spatial Knowledge and Intelligence, Nanjing, Jiangsu, China

2022 International Conference on Machine Intelligence and Emerging Technologies (MIET), Bangladesh.

2024 5th International Conference on Cloud and Big Data, Vienna, Austria.

2024 2nd International Conference on Machine Intelligence and Emerging Technologies, Noakhali, Bangladesh.

2024 5th International Conference on Big Data, IOT and Blockchain, Sydney, Australia.

2024 9th Annual International Conference on Information System and Artificial Intelligence, Sichuan, China.

2025 5th International Conference on Big Data, IoT and Machine Learning, Copenhagen, Denmark.

2025 16th International Conference on Internet Engineering & Web Services, Sydney, Australia.

2025 10th Annual International Conference on Information System and Artificial Intelligence, Sichuan, China.

2025 9th Annual International Conference on Wireless Communications, Networking and Applications, Nanjing, China.

PUBLICATION

Selected Journals:

M. A. Rahman, M. B. A. Miah, M. A. Hossain, and A. S. M. Sanwar Hosen*, “Enhanced Brain Tumor Classification Using MobileNetV2: A Comprehensive Preprocessing and Fine-Tuning Approach,”, BioMedInformatics, vol. 5, no. 2, pp. 1-33, 2025. (SCOPUS)

S. Ahmed, M. S. Rahman, M. S. Kaiser, and A. S. M. Sanwar Hosen*,” Advancing Personalized and Inclusive Education for Students with Disability Through Artificial Intelligence: Perspectives, Challenges, and Opportunities,” Digital, vol. 5, no. 2, pp. 1-30, 2025. (SCOPUS)

M. S. Islam and A. S. M. Sanwar Hosen*, “Personalized Course Recommendation System: A Multi-Model Machine Learning Framework for Academic Success,” Digital, vol. 5, no. 2, pp. 1-26, 2025. (SCOPUS)

I. A. Begum, A. S. M. Sanwar Hosen*, D. Ghimire, M. J. Park, “Association of Polycystic Ovary Syndrome with Clinical, Physical and Reproductive Factors: A Data-Driven Analysis,” Diagnostics, vol. 15, no. 6, pp. 1-15, 2025. (SCIE)

S. Jahan, M. R. S. Adib, S. M. Huda, M. S. Rahman, M. S. Kaiser, A. S. M. Sanwar Hosen, D. Ghimire, and M. J. Park, “Federated Explainable AI-based Alzheimer’s Disease Prediction with Multimodal Data,” IEEE Access, vol. 13, pp. 43435-43454, 2025. (SCIE)

T. S. Delwar, S. Mukhopadhyay, A. Kumar, M. Singh, Y.-W. Lee, J.-Y. Ryu, and A. S. M. Sanwar Hosen*, “Real-Time Farm Surveillance Using IoT and YOLOv8 for Animal Intrusion Detection,” Future Internet, vol. 17, no. 2, pp. 1-43, 2025. (SCOPUS and ESCI)

V. Verma, A. Malik, I. Batra, A. S. M. Sanwar Hosen*, “A novel ensemble-based approach for Windows malware detection, IAES International Journal of Artificial Intelligence (IJ-AI), vol. 14, no. 1, pp. 327-336, 2025. (SCOPUS)

N. Akhter, A. Khatun, M. S. Rahman, A. S. M. Sanwar Hosen*, M. S. Islam, “A systematic analysis on machine learning classifiers with data pre-processing to detect anti-pattern from source code, IAES International Journal of Artificial Intelligence (IJ-AI), vol. 14, no. 1, pp. 376-384, 2025. (SCOPUS)

K. A. Taher, S. Ahmed, J. F. Esha, M. S. Rahman, and A. S. M. Sanwar Hosen*, “Multilayer stacking for polycystic ovary syndrome diagnosis,” IAES International Journal of Artificial Intelligence (IJ-AI), vol. 99, no. 1, pp. 1-x, 2025 (accepted). (SCOPUS)

Aarti, S. Gowroju, M. I. A. Begum, and A. S. M. Sanwar Hosen*, “Optimal Feature Selection and Classification for Parkinson’s Disease Using Deep Learning and Dynamic Bag of Features Optimization,” BioMedInformatics, vol. 4, no. 4, pp. 1-28, 2024. (SCOPUS)

S. A. Asma, N. Akhter, S. Sharmin, M. S. Rahman, A. S. M. Sanwar Hosen, O.-S. Lee, and I.-H. Ra, “Hierarchical Explainable Network for Investigating Depression from Multilingual Textual Data,” IEEE Access, vol. 12, pp. 131915-131927, 2024. (SCIE)

P. Rana, I. Batra, A. Malik, I.-H. Ra, O.-S. Lee, and A. S. M. Sanwar Hosen*, “Efficacious Novel Intrusion Detection System for Cloud Computing Environment,” IEEE Access, vol. 12, pp. 99223-99239, 2024. (SCIE)

S. Ahmed, J. F. Esha, M. S. Rahman, M. S. Kaiser, A. S. M. Sanwar Hosen, D. Ghimire, and M. J. Park, “Exploring Deep Learning and Machine Learning Approaches for Brain Hemorrhage Detection,” IEEE Access, vol. 12, pp. 45060-45093, 2024. (SCIE)

S. Shafiq, M, S. Rahman, S. A. Shaon, I. Mahmud, and A. S. M. Sanwar Hosen*, “A Review on Software-Defined Networking for Internet of Things Inclusive of Distributed Computing, Blockchain, and Mobile Network Technology: Basics, Trends, Challenges, and Future Research Potentials,” International Journal of Distributed Sensor Networks, vol. 2024, no. 1, pp. 1-26, 2024. (SCIE)

R. Mia, S. Khanam, A. Mahjabeen, N. H. Ovy, D. Ghimire, M.-J. Park, M. I. A. Begum, and A. S. M. Sanwar Hosen, “Exploring Machine Learning for Predicting Cerebral Stroke: A Study in Discovery,” Electronics, vo. 13, no. 4, pp. 1-17, 2024. (SCIE)

S. Jahan, K. A. Taher, M. S. Kaiser, M. Mahmud, M. S. Rahman, A. S. M. Sanwar Hosen, and I.-H. Ra, “Explainable AI-based Alzheimer’s prediction and management using multimodal data,” Plos one, vol. 18, no. 11, pp. 1-26, 2023. (SCIE)

T. Thakur, I. Batra, A. Malik, D. Ghimire, S.-H. Kim, and A. S. M. Sanwar Hosen*,” RNN-CNN based cancer prediction model for gene expression,” IEEE Access, vol. 11, pp. 131024-131044, 2023. (SCIE)

S. Ahmed, M. S. Rahman, I. Jahan, M. S. Kaiser, A. S. M. Sanwar Hosen, D. Ghimire, and S.-H. Kim, “A review on the detection techniques of polycystic ovary syndrome using machine learning,” IEEE Access, vol. 11. pp. 86522-86543, 2023. (SCIE)

M. S. Rahman, T. Ghosh, N. F. Aurna, M. S. Kaiser, M. Anannya, and A. S. M. Sanwar Hosen*, “Machine learning and internet of things in industry 4.0: A review,” Measurement: Sensors, vol. 28, pp. 1-19, 2023. (SCOPUS)

M. Kumar, A. Kumar, S. Verma, P. Bhattacharya, D. Ghimire, S.-H. Kim, A. S. M. Sanwar Hosen*, “Healthcare Internet of Things (H-IoT): Current trends, future prospects, applications, challenges, and security issues,” Electronics, vol. 12, no. 9, pp. 1-19, 2023. (SCIE)

R. Kaur, D. Anand, U. Kaur, S. Verma, Kavita, S.-W. Park, A. S. M. Sanwar Hosen*, and I.-H. Ra, “An Advanced Job Scheduling Algorithmic Architecture to Reduce Energy Consumption and CO2 Emissions in Multi-Cloud,” Electronics, vol. 12, no. 8, pp. 1-21, 2023. (SCIE)

S. Upadhyay, M. Kumar, A. Upadhyay, S. Verma, Kavita, A. S. M. Sanwar Hosen*, I.-H. Ra, and M. Kaur, S. Singh, “Digital Image Identification and Verification Using Maximum and Preliminary Score Approach with Watermarking for Security and Validation Enhancement,” Electronics, vol. 12, no. 7, pp. 1-15, 2023. (SCIE)

S. Jahan, F. Nowsheen, M. M. Antik, M. S. Rahman, M. S. Kaiser, A. S. M. Sanwar Hosen, and I.-H. Ra, “AI-based epileptic seizure detection and prediction in internet of healthcare things: a systematic review,” IEEE Access, vol. 11, pp. 30690-30725, 2023. (SCIE)

M. B. A. Miah, S. Awang, M. M. Rahman, and A. S. M. Sanwar Hosen*, “Keyphrase Distance Analysis Technique from News Articles as a Feature for Keyphrase Extraction: An Unsupervised Approach,” International Journal of Advanced Computer Science and Applications, vol. 14, no. 10, pp. 995-1002, 2023. (SCOPUS)

K. Sharma, A. Malik, I. Batra, A. S. M. Sanwar Hosen, M. A. L. Sarker, and D. S. Han, “Technologies Behind the Smart Grid and Internet of Things: A System Survey,” Computers, Materials & Continua, vol. 75. no. 3, pp. 4049-5072, 2023. (SCIE)

S. Jain, N. Kaur, S. Verma, Kavita, A. S. M. Sanwar Hosen*, S. S. Sehgal, “Use of machine learning in air pollution research: a bibliographic perspective,” Electronics, vol. 11, no. 21, pp. 1-15, 2022. (SCIE)

M. Miah, S. Awang, M. M. Rahman, A. S. M. Sanwar Hosen, I.-H. Ra, “A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles,” Electronics, vol. 11. no. 17, pp. 1-20, 2022. (SCIE)

C. Sharma, I. Batra, A. Malik, S. Sharma, A. S. M. Sanwar Hosen*, and I.-H. Ra, “Predicting Trends and Research Patterns of Smart Cities: A Semi-Automatic Review Using Latent Dirichlet Allocation (LDA),” IEEE Access, vol. 10, pp. 121080-121095, 2022. (SCIE)

S. Rajak, I. Muniraj, K. Elumalai, A. S. M. Sanwar Hosen*, I.-H. Ra, and S. Chinnaaduarai, “Energy Efficient Hybrid Relay-IRS-Aided Wireless IoT network for 6G Communications,” Electronics, vol. 11, no. 12, pp. 1-11, 2022. (SCIE)

S. Rajak, P. Selvaprabhu, S. Chinnadurai, A. S. M. Sanwar Hosen*, A. Saad, and A. Tolba, “Energy Efficient MIMO-NOMA aided IoT network in B5G Communications,” Computer Networks, vol. 216, pp. 1-8, 2022. (SCIE)

A. S. M. Sanwar Hosen, P. K. Sharma, and G. H. Cho, “SPTM-EC: A security and Privacy-Preserving Task Management in Edge Computing for IIoT,” IEEE Transactions on Industrial Informatics, vol. 18. No. 9, pp. 6330-6339, 2022. (SCIE)

N. Dey, M. S. Rahman, M. S. Mredula, A. S. M. Sanwar Hosen, and I.-H. Ra, “Using Machine Learning to Predict Events on the basis of Bengali and Banglish Facebook Posts,” Electronics, vol. 10, no. 9, pp.1-25, 2021. (SCIE)

M. Selim, M. H. Rahman, M. S. Rahman, A. S. M. Sanwar Hosen, C. Seo, and G. H. Cho, “Intellectual Property Theft Protection in IoT based Precision Agriculture using SDN,” Electronics, vol. 10, pp. 1-19, 2021. (SCIE)

A. S. M. Sanwar Hosen, P. K. Sharma, and G. H. Cho, “MSRM-IoT: a reliable resource management for cloud, fog, and mist assisted IoT networks,” IEEE Internet of Things Journal, vol. 9, no. 4, pp. 2527-2537, 2022. (SCIE)

T. Ghosh, M. H. A. Banna, M. S. Rahman, M. S. Kaiser, M. Mahmud, A. S. M. Sanwar Hosen, and G. H. Cho, “Artificial Intelligence and Internet of Things in Screening and Management of Autism Spectrum Disorder,” Sustainable City and Society, vol. 74, pp. 1-23, 2021. (SCIE)

N. Islam, F. Farhin, I. Sultan, M. S. Kaiser, M. S. Rahman, M. M. Mahmud, A. S. M. Sanwar Hosen, and G. H. Cho, “Towards Machine Learning based Intrusion Detection in IoT Networks,” Computers, Materials & Continua, vol. 69, no. 2, pp. 1801-1821, 2021. (SCIE)

S. Singh, A. S. M. Sanwar Hosen, and B. Yoon, “Blockchain Security Attacks, Challenges, and Solutions for the Future Distributive IoT Network,” IEEE Access, vol. 9, pp. 13983-139859, 2021. (SCIE)

M. H. Al-Banna, K. A. Taher, M. S. Kaiser, M. Mahmud, M. S. Rahmann, A. S. M. Sanwar Hosen, and G. H. Cho, “Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges,” IEEE Access, vol. 8, pp. 192880-192923, 2020. (SCIE)

I. Batra, S. Verma, A. Malik, Kavita, U. Ghosh, J. J. P. C. Rodrigues, G. N. Nguyen, A. S. M. Sanwar Hosen*, and V. Mariappan, “Hybrid Logical Security Framework for Privacy Preservation in the Green Internet of Things,” Sustainability, Vol. 12, no. 14, pp. 1-15, 2020. (SSCI and SCIE)

S. More, J. Singla, S. Verma, Kavita, U. Ghosh, J. J. P. C. Rodrigues, A. S. M. Sanwar Hosen, and I. H. Ra, “Security assured CNN-Based Model for Reconstruction of Medical Images on the Internet of Healthcare Things,” IEEE Access, vol. 8, pp. 126333-126346, 2020. (SCIE)

A. S. M. Sanwar Hosen, S. Singh, P. K. Sharma, U. Ghosh, J. Wang, I. H. Ra, and G. H. Cho, “Blockchain-based Transaction Validation Protocol for a Secure Distributed IoT Network,” IEEE Access, vol. 8, pp. 117266-117277, 2020. (SCIE)

A. S. M. Sanwar Hosen, S. Singh, M. S. Rahman, I. H. Ra, G. H. Cho and D. Puthal, “A QoS-aware data collection protocol for LLNs in Fog-enabled IoT,” IEEE Transactions of Network and Service Management, 2019. (SCIE)

A. S. M. Sanwar Hosen, S. Singh, V. Mariappan, M. Kaur, and G. H. Cho, “A secure and privacy preserving partial deterministic RWP model to reduce overlapping in IoT sensing environment,” IEEE Access, vol. 7, pp. 39702-39716, 2019. (SCIE)

K. S. Bhandari, A. S. M. Sanwar Hosen, and G. H. Cho, “CoAR: congestion-aware routing protocol for low power and lossy networks for IoT applications,” Sensors, vol. 18, no. 11, pp. 1-26, 2018. (SCIE)

A. S. M. Sanwar Hosen and Gi Hwan Cho, “ECCR: An energy centric cluster-based routing protocol for wireless sensor networks,” Sensors, vol. 18, no. 5, pp. 1-17, 2018. (SCIE)

A. S. M. Sanwar Hosen, G. H. Cho, and I. H. Ra, “An eccentricity based data routing protocol with uniform node distribution in 3D WSN,” Sensors, vol. 17, no. 9, pp. 1-19, Sep. 2017. (SCIE)

A. S. M. Sanwar Hosen and G. H. Cho, “An eccentricity-based data routing for 3D wireless sensor networks,” International Journal of Sensor Networks, vol. 24, no. 4, pp. 230-241, Aug. 2017. (SCIE)

A. S. M. Sanwar Hosen, J. S. Park, and G. H. Cho, “Utilizing the virtual triangulation for wireless indoor localization of mobile devices with channel state information,” International Journal of Multimedia and Ubiquitous Engineering, vol. 10, pp. 265-276, Sep. 2015. (SCOPUS)

S. Park, A. S. M. Sanwar Hosen, and G. H. Cho, “An DDS based architecture in supporting of data centric wireless sensor network environments,” International Journal of Control and Automation, vol. 7, no. 1, pp. 251-258, 2014. (SCOPUS)

A. S. M. Sanwar Hosen, K. S. Hae, and G. H. Cho, “An energy efficient cluster formation and maintenance scheme for wireless sensor networks,” Journal of Information and Communication Convergence Engineering, vol. 10, no. 3, pp. 276-283, 30 Sep. 2012. 9 (SCOPUS)

A. S. M. Sanwar Hosen, H. Lee, and G. H. Cho, “An energy aware network construction and routing method for wireless sensor network,” Journal of the Institute of Electronics and Information Engineers, vol. 49, no. 9, pp. 225-234, Sep. 2012. (SCOPUS)

Selected Conferences:

A. S. M. Sanwar Hosen, P. K. Sharma, D. Puthal, I.-H. Ra, and G. H. Cho, “SECBlock-IIoT: A Secure Blockchain-enabled Edge Computing Framework for Industrial IoT,” Proc of the International Symposium on Advanced Security on Software and Systems, ACM, Melbourne, VIC, Australia, 10 July, 2023.

A. S. M. Sanwar Hosen, I. H. Ra, and G. H. Cho, “A Secure IoT Network Architecture based on Service-aware Blockchain,” Proc. of the International Symposium on Information Technology Convergence (ISITC), Tianjin, China, 19-21 September, 2019.

A. S. M. Sanwar Hosen, G. H. Cho, and I. H. Ra, “A solution to the index coding problem using machine learning algorithm,” Proc. of the International Symposium on Information Technology Convergence (ISITC), Jeonju, Korea, 24-27 October, 2018.

A. S. M. Sanwar Hosen, G. H. Cho, and I. H. Ra, “An adaptive clustering and routing protocol for WSN in disaster safety network,” Proc. of the International Conference on Smart Media and Applications (SMA), Boracay, Philippines, 17-19 December, 2017.

A. S. M. Sanwar Hosen, G. H. Cho, K. Park, and I. H. Ra, “A novel clustering method with considering node connectivity for centralized disaster safety network with sensors,” Proc. of the International Conference on Software & Smart Convergence, Russia, June 2017.

A. S. M. Sanwar Hosen, G. H. Cho, and I. H. Ra, “Finding boundary and holes in wireless sensor networks,” Proc. of the Spring Conference of Korea Institute of Smart Media (KISM) and Society for e-Business Studies (SEBS), pp. 190-191, April 28, 2017, Seoul, South Korea. (Best paper award)

A. S. M. Sanwar Hosen and G. H. Cho, “A sensor deployment scheme with random and uniform node distribution in 3D wireless sensor networks,” Proc. of the International Conference on Smart Media and Applications (SMA), Tasmania, Australia, 5-8 Dec. 2016.

A. S. M. Sanwar Hosen and G. H. Cho, “A comprehensive analysis of overlapping sensing area of random waypoint mobility model in a 3D wireless sensor network,” Proc. of the International Symposium on Information Technology Convergence (ISITC), Shanghai, China, 14-15 Oct. 2016.

A. S. M. Sanwar Hosen and G. H. Cho, “An Energy-aware 3D-grid based distributed clustering protocol for WSNs,” Proc. of the International Conference on Smart Media and Applications (SMA), Vietnam, 2015.

A. S. M. Sanwar Hosen, J. S. Park, and G. H. Cho, “Applying the virtual triangulation to mitigate the CSI-based wireless indoor localization error,” Proc. of the International Symposium on Information Technology Convergence, Jeonju, Korea, 2014.

A. S. M. Sanwar Hosen and G. H. Cho, “Topic-based data merging and routing scheme in many-to-many communication for WSNs,” Proc. of the International Conference on Computational Science and Its Applications (ICCSA), Guimaraes, Portugal, LNCS 8581, Springer, pp. 779-794, 2014.

A. S. M. Sanwar Hosen and G. H. Cho, “A robust key management scheme based on node hierarchy for wireless sensor networks,” Proc. of the International Conference on Computational Science and Its Applications (ICCSA), Guimaraes, Portugal, LNCS 8580, Springer, pp. 315-329, 2014.

S. Park, A. S. M. Sanwar Hosen, and G. H. Cho, “An applicable architecture of DDS-based middleware for real-time wireless sensor networks,” Proc. of the Smart Media and Applications (SMA), 2013, Malaysia, 2013. (Outstanding paper award)

A. S. M. Sanwar Hosen and G. H. Cho, “Eccentricity-based data gathering and diameter-based data forwarding in 3D wireless sensor networks,” Proc. of the Mobile, Ubiquitous, and Intelligent Computing (MUSIC), Gwangju, Korea, LNEE 274, Springer, pp. 433-439, 2013.

A. S. M. Sanwar Hosen and G. H. Cho, “A design of WSN model to minimize data-centric routing cost for many-to-many communication,” Proc. of the IT Convergence and Security, Korea, LNEE 215, Springer, pp. 597-604, 6 Dec. 2012.

A. S. M. Sanwar Hosen and G. H. Cho, “An Effective routing cost approximation in many-to-many communication for wireless sensor networks,” Proc. of the Ubiquitous Information Technologies and Applications (CUTE 2012), Hong Kong, LNEE 214, Springer, pp. 145-155, 21 Dec. 2012.

A. S. M. Sanwar Hosen and G. H. Cho, “Applying a minimum routing cost spanning tree to many-to-many in wireless sensor network,” Proc. of the 6th International Conference on Convergence and Hybrid Information Technology, Korea, LNCS 7425, Springer, pp. 79-86, 23-25 Aug. 2012.

M. Hanif, M. Lee, R. Shin, and A. S. M. Sanwar Hosen, “Pilot-based channel estimation in two-way amplify-and-forward relay networks,” Proc. of the IEEE- ICIEV, Dhaka, Bangladesh, pp. 996-999, 2012.

A. S. M. Sanwar Hosen and G. H. Cho, “Energy aware landmark election and routing protocol for grid-based wireless sensor network,” Proc. of the KIPS, Jeju, Korea, 2011.

For more information- Google Scholar:

https://scholar.google.com/citations?user=nSEb7OAAAAAJ&hl=en

Education

Ph.D. in Information & Telecommunication Technology, Korea Advanced Institute of Science and Technology (KAIST) , Daejeon, The Republic of Korea. (2018)

MS. in Information & Telecommunication Technology, Korea Advanced Institute of Science and Technology (KAIST) , Daejeon, The Republic of Korea. (2014)

BS in Computer Science, Software and Hardware Engineering (Dual Major), Mongolian University of Science and Technology, Computer Science and Management's School, Ulaanbaatar, Mongolia. (2006)

TEACHING AREAS

Generative AI, Understanding LLM, Large Language Model, Principles of Blockchain Technology, Information Security in Industry 4, AI for Business, Software Entrepreneurship, Web Analytics, Bigdata & Software Applications, The 4th Industrial Revolution & Digital Transformation, Management Information Systems, Computational Thinking & Programming, Logics and Web Software, Business Systems Applications, AI and Software Applications, Cryptocurrency and Blockchain Technologies, AI in Industry 4.0, Special Topics in Digital Economy, Information Technology Project Management, Research Methods in Social Sciences.

RESEARCH AREAS

Blockchain, Generative AI, Large Language Model (LLM), Digital Transformation, Enterprise Architecture, Social Media, m/e-Government, Innovation adoption & management, Technology Transfer & Commercialization, Computer Vision.

Career

Assistant Professor, AI & Bigdata Department, ECIS, Woosong University, Daejeon, Korea (2019-now)

Post-Doctoral Researcher, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (2018-2019)

Consultant, FarmaTrust Ltd, London, the United Kingdom. (2018)

Head of Global Cooperation, BandZ Network Ltd, Toronto, Canada. (2017-2018)

Regional Expert on Technology Transfer, The Global Commercialization Center (GCC), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea (2015-2018)

Co-Founder and Secretariat, Mongolian e-Government Center (NGO) , Ulaanbaatar, Mongolia (2014-2019)

Deputy Director, (former Officer), The Information, Communication, Technology and Post Authority, the Government Agency of Mongolia under Prime Minister. (2009-2012)

Network Engineer & System Administrator, The Railcom Center, Mongolian Ulaanbaatar Railway Mongolia and Russian Joint Stock Company,, Ulaanbaatar, Mongolia. (2006-2009)

Selected Publications

Hao, L., & Erdenebold, T. (2025). Unveiling ChatGPT's Role as a Digital Assistant: A Systematic Literature Review on Workplace Training and Skill Development. Asia-Pacific Journal of Business, 16(1), 63-89.

Wei, C., Fang, J., Xu, Z., Meng, J., Ye, Z., Wang, Y., & Erdenebold, T. (2025). YOLOv8‐ESW: An Improved Oncomelania hupensis Detection Model. Concurrency and Computation: Practice and Experience, 37(3), e8359.

HuiJun, W., & Erdenebold, T. (2024). The Impact of Digital Transformation on Corporate Performance: Based on Shanghai and Shenzhen A-Share Listed Companies. Asia-Pacific Journal of Business, 15(3), 17-45.

Erdenebold, T., Kim, S. K., Rho, J. J., & Hwang, Y. M. (2021). An Empirical Investigation of the Citizens' Freedom of Expression and Trust in Public Agency to use Social Media in Post-Communist Countries: The Case of Mongolia. Asia-Pacific Journal of Business, 12(1), 41-56.

Erdenebold, T., Kim, S. K., Rho, J. J., & Hwang, Y. M. (2020). The effects of censorship and organisational support on the use of social media for public organizations in Mongolia. Asia-Pacific Journal of Business, 11(2), 61-79.

Erdenebold, T., Rho, J. J., & Hwang, Y. M. (2019). Blockchain reference model and use case for supply chains within enterprise architecture. Journal of Information Technology and Architecture, 16(1), 1-10.

Erdenebold, T. (2017). A Smart Government Framework for Mobile Application Services in Mongolia. In Securing Government Information and Data in Developing Countries (pp. 90-103). IGI Global Scientific Publishing.

Selected Projects

Post-Doc resercher in R&D project: “Study on Blockchain Technology Adoption in Public Sector” funded by Ministry of Science and ICT, the Government of Republic of Korea, and Korea Advanced Institute of Science and Technology (KAIST). (2018-2019)

Consulted to project and pilot on “FarmaTrust Anti-Counterfeit Medicine Project using Blockchain and AI in Mongolia”, and coordinated with the Government of Mongolia. (2018)

Coordinated Innovation & Technology Transfer projects between Mongolia and Korea: Smart Farm Cooperation Project. (2015-2017)

Managed and implemented Mongolian nationwide projects: National Datacenter Project (2008-2009), The Extension and Innovation of Backbone network project (DWDM, IP/MPLS, SDH, 2011-2012), Mongolian Internet Exchange Renewal Project (2010-2011), Soum Center Access Internet Delivery Projects (2010-2012), The Ulaanbaatar city remote area wireless internet service deliveryproject (2011).

Education

Ph.D. / 2021: IT Management: ICT / KAIST, Daejeon, South Korea

MS / 2017: Master of Engineering: ICT / Soongsil Un., Seoul, South Korea

BS / 2002: Bachelor of Computer Science: Almansoor Un., Baghdad, Iraq

Teaching subjects

4th Industrial Revolution and Digital Transformation

AI for Business

AI Literacy and Prompt Engineering

Innovation Technology Management

Management Information Systems

Information Technology Essential

Blockchain for Business Security

Financial Technology (FinTech)

Operations Management

Project Management

Research area

Social Science, Technology adoption, AI for Business, and Blockchain Technology

Career

Assistant Manager – 2009 to 2016 - Planning sector, Council of Ministries, Iraq

Post-Doc – 03/2021 to 03/2023 - KAIST / G-CORE, South Korea

Assistant Professor - 03/2023 to Present - Woosong University / Endicott College, South Korea

Selected Publications

2020 / Q1 / Impact factor 12.5 / Journal: Technology in Society
Title: Accepting financial transactions using blockchain technology and cryptocurrency: A customer perspective approach (https://doi.org/10.1016/j.techsoc.2020.101320)

2021 / Q1 / Impact factor 6.7 / Journal: Human Behavior and Emerging Technologies
Title: A Study on the Use of Cryptocurrency Wallets from a User Experience (UX) Perspective (https://doi.org/10.1002/hbe2.313)

2024 / Q1 / Impact factor 6.1 / Journal: Computers and Education: Artificial Intelligence
Title: Investigating undergraduate students' perceptions and awareness of using ChatGPT as a regular assistance tool: A user acceptance perspective study (https://doi.org/10.1016/j.caeai.2024.100203)

2023 / Book / The Art of Masterful Leadership and Teamwork, Achieving Excellence in the Modern World (https://bit.ly/3xmOcS1)

2023 / Q1 / Impact factor 9.6 / Journal: Telematics and Informatics Reports
Title: Assessing engagement decisions in NFT Metaverse based on the Theory of Planned Behavior (TBP) (https://www.sciencedirect.com/science/article/pii/S2772503023000051)

2024 / Book / Management and Technology Convergence: Strategies for AI in the Digital Age (https://bit.ly/43IFHP5)

2025/ Q2 / Impact factor 5.6 / Journal: MDPI_Bioengineering
Title: A Hybrid Convolutional–Transformer Approach for Accurate Electroencephalography (EEG)-Based Parkinson’s Disease Detection (https://www.mdpi.com/2306-5354/12/6/583)

Selected Projects

Blockchain Engineering Patent (Under Review / 2nd stage) / 2023:
Title: A Novel Solution to Fraction NFT using Ethereum ERC-1155 standard (F-NFT): Introducing the (NFT-Matrix) Function

Education

Ph.D. / Middle East Technical University – Graduate School of Natural and Applied Sciences - Department of Computer Education and Instructional Technology – Ph. D. Program, 2011.

MS / Middle East Technical University – Graduate School of Social Sciences - Department of Educational Sciences – Curriculum and Instruction M. Sc. Program, 2004.

BS / Middle East Technical University – Faculty of Education - Department Computer Education and Instructional Technology – Undergraduate Program, 2001.

Teaching subjects

Ethical AI, AI in Industry, AI for Business, Fundamentals of Industry 4.0, Software Engineering, Database Management, Statistics, Research Methods, Quantitative and Qualitative Research Methods, How Technology Shapes Society, Computing Systems, Managing Digital Firms.

Research area

Social Media, Educational Technology, Curriculum and Instruction Design, Technology Management and Planning, Industry 4.0, Artificial Intelligence, Ethical AI, AI Literacy, Virtual Realities and Metaverse.

Selected Publications

Karaarslan, E., Aydın, Ö., Yazıcı Yılmaz, S., Tinmaz, H., et al. (2025). Shaping the future of Metaverse research: Innovation, collaboration, and Journal of Metaverse’s academic impact. Journal of Metaverse, 5(2), 73-91. https://doi.org/10.57019/jmv.1664054

Geng, W., & Tinmaz, H. (2025). A study on the impact of Xiaohongshu on university students’ consumption behavior. Journal of Asian Pacific Communication. Advance online publication. https://doi.org/10.1075/japc.00113.wei

Xiaolan, W., & Tinmaz, H. (2024). Exploring university teachers’ perceptions of Metaverse integration in higher education: A quantitative study from China. Journal of Metaverse, 4(2), 165-176. https://doi.org/10.57019/jmv.1582429

Tinmaz, H. & Dhillon, P. K. S., (2024). User-centric avatar design: A cognitive walkthrough approach for metaverse in virtual education. Data Science and Management, 7(4), 267-282. https://doi.org/10.1016/j.dsm.2024.05.001

Geng, W. & Tinmaz, H. (2024). A case study on the impact of the TikTok use of Chinese university students. International Journal of Technology Enhanced Learning, 16 (3), 267- 281. https://doi.org/10.1504/IJTEL.2024.139700

Li, H., Tinmaz, H. (2024). Knowledge mapping of research on teachers’ digital competence in China: A bibliometric analysis using CiteSpace. Journal of Computers in Education, 12(1), 315–338. https://doi.org/10.1007/s40692-023-00311-w

Dhillon, P. K. S., & Tinmaz, H. (2024). Academic augmentation: Analyzing avatar design in educational Metaverse. Journal of Metaverse, 4(1), 54-70. https://doi.org/10.57019/jmv.1440122

Dhillon, P. K. S. & Tinmaz, H. (2024). Immersive realities: A comprehensive guide from virtual reality to metaverse. Journal for the Education Gifted Young Scientists, 12 (1), 29-45. http://dx.doi.org/10.17478/jegys.1406024

Tinmaz, H. & Fanea-Ivanovici, M. (2024). The Metaverse – The next big thing in education: A systematic literature review. Milli Egitim [National Education], 53 (242), 827-854. https://doi.org/10.37669/milliegitim.1235647

Li, H., Wu, X. & Tinmaz, H. (2024). Online learning ability of Chinese university students and its influencing factors. TechTrends, 68. 243-256. https://doi.org/10.1007/s11528-024-00931-8

Liu, Y. & Tinmaz, H. (2024). Exploring the Metaverse as the next frontier for a living library experience. Library Hi Tech News, 8, 1-5. https://doi.org/10.1108/LHTN-12-2023-0221

Wu, Z., Yang, D. & Tinmaz, H. (2024). Chinese kindergarten teachers’ opinions on advanced technology use. Journal of Research in Childhood Education, 38(2), 279–294. https://doi.org/10.1080/02568543.2023.2239308

Selected Projects

Researcher for South Korean government funded research project under the title of "서울시교육청 메타버스 정책연구 (Seoul Metro City Education Department Metaverse Policy Research Project). November 2021 – April 2022.

Development & Research Manager for “Digital Transformation Intensive Major Convergence Sub-Track Curriculum Development” Project. 2021.06.25. - 2021.11.19. Designing the entire curriculum for digital transformation minor track with the following six-course, their 15-week schedule and lecture notes (only first three courses):

• Digital Disruption and Transformation & the Industry 4.0 and Digital Transformation & Managing Digital Firms
• AI-Driven Digital Transformation & Blockchain Technology for Digital Business Model & Digital Data Literacy in Digital Transformation

Research Director for “Building Technological Pedagogical Content Knowledge (TPACK) for Bio Healthcare” track in “2021 Bio-Health Innovation Sharing University Policy Research Service Project”. 2021.11.08 - 2022.02.07

Co-researcher for “Enhancement of PBL by using Real-Time Bio -Medical Healthcare data” track in “2021 Bio-Health Innovation Sharing University Policy Research Service Project”. 2021.11.01 - 2022.02.09