Dr. Anupam Kumar Bairagi

Dr. Anupam Kumar Bairagi
Professor

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Informatics and Communication Laboratory, Computer Science and Engineering Discipline, Khulna University, Khulna-9208, Bangladesh

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Anupam Kumar Bairagi (S’17-M’18-SM'22) is a professor in the discipline of Computer Science and Engineering, Khulna University, Bangladesh. He received his Ph.D. degree in Computer Engineering from Kyung Hee University, South Korea, and B.Sc. and M.Sc. degree in Computer Science and Engineering from Khulna University, Bangladesh. His research interests include wireless resource management in 5G, game theory, Health Informatics, IIoT, Agri Informatics, etc. He obtained Vice Chancellor's award in 2023 for his contribution in research and academic excellence. He is a senior member of IEEE.

2019 Doctor of Philosophy in Computer Engineering, Kyung Hee University, South Korea
2014 M.Sc. in Computer Science and Engineering, Khulna University, Bangladesh
2008 Masters in Business Administration, Khulna University, Bangladesh
2001 B.Sc. in Computer Science and Engineering, Khulna University, Bangladesh
1995 Govt. B. L. College, Khulna, Bangladesh
1993 Banda High School, Dumuria, Khulna, Bangladesh

Wireless Communication
5G/6G
LTE-U
Cooperative Communication
Game Theory
Smart Grid
UAV Communication
Healthcare IoT
Information Security
Information System
Machine Learning

Current Research Project/Collaboration

SL	Title	Research Role	Awarded Date	Completion Date	Funding Agency
1	Looking for prospective research students (MSc and PhD) in the field of Health Informatics, Computing in Agriculture, Smart Grid

Editor, Khulna University Studies
Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
TPC Member, 2nd International Graduate Conference on Engineering, Biotechnology, and Computer Science (ETCoS-Grace 2025), Universitas Muhammadiyah Yogyakarta, Indonesia; https://etcos-grace.umy.ac.id/2025/
TPC Member, 2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2025) , Dhaka University of Engineering & Technology, Gazipur, Bangladesh; https://www.confncim.org/
TPC Member, 5th International Conference on “Emerging Trends and Technologies on Intelligent Systems” (ETTIS-2025), Gautam Buddha Nagar, Noida, India; https://www.ettis.org/
TPC Member, Securing and Managing Advanced Technologies for Industry 4.0 (SAMAT 4.0) – COMSNETS Workshop 2025, Bengaluru, India; https://www.comsnets.org/industry4.html
TPC Member, 6th International Conference on Emerging Networks Technologies (ICENT 2024), Hanoi, Vietnam, http://www.icent.org/
TPC Member, 6th International Conference on Sustainable Technologies for Industry 5.0 (STI 2024), Green University, Dhaka, Bangladesh, https://sti.green.edu.bd/
TPC Member, 2nd International Conference on Machine Intelligence and Emerging Technologies (MIET 2024), NSTU, Noakhali, Bangladesh, https://confmiet.org/
TPC Member, 4th International Conference on Sustainable Expert Systems (ICSES 2024), Pokhara University, Nepal, https://icoses.com/
TPC Member, International Conference on Embracing Industry 4.0 for Sustainable Business Growth (EISBG 2024), NSTU, Noakhali, Bangladesh, https://fbs-nstu.org/confeisbg/

TPC Member, 10th International Conference on Networking, Systems and Security (NSysS 2023), BUET, Dhaka, Bangladesh, https://cse.buet.ac.bd/nsyss2023/
TPC Member, 5th International Conference on Emerging Networks Technologies(ICENT 2023), Okinawa, Japan, http://www.icent.org/index.html
TPC Member, 5thInternational Conference on Sustainable Technologies for Industry 5.0 (STI 2023), Green University, Dhaka, Bangladesh, https://sti.green.edu.bd/
TPC Member, International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2023), Gazipur, Bangladesh, https://confncim.com/
TPC Member, International Conference on Big Data, IoT and Machine Learning (BIM 2023), Dhaka, Bangladesh, https://confbim.com/
TPC Member, 4th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2023), Tribhuvan University, Nepal, http://icmcsi.com/2023/index.html
TPC Member, IoT & Wireless Sensors Symposium (IWCMC 2022), Dubrovnik, Croatia, https://iwcmc.org/2022/
Guest Editor, Special Issue "Energy-Efficient IoT (Internet of Things) and Big Data Challenges for Connected Intelligence", Big Data and Cognitive Computing, MDPI, https://www.mdpi.com/journal/BDCC/special_issues/iot_data
TPC Member, International Conference on STEM and the Fourth Industrial Revolution 2022 (ICSTEM4IR 2022), SET School, Khulna University, Bangladesh, https://conference.ku.ac.bd/icstem4ir/
TPC Member, International Conference on Machine Intelligence and Emerging Technologies 2022 (MIET 2022), Noakhali Science and Technology University, Bangladesh, https://confmiet.org/
TPC Member, 3rd International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2022), Tribhuvan University, Nepal, http://icmcsi.com/2022/index.html
Co-Chair (Machine Learning Track), International Conference on Big Data, IoT and Machine Learning (BIM 2021), Cox's Bazar, Bangladesh, https://confbim.com/
TPC Member, Wireless Sensor & IoT Symposium (IWCMC 2021), Harbin, China, https://iwcmc.org/2021/
TPC Member, 3rd International Conference on Sustainable Technologies for Industry 4.0 (STI 2021), Green University, Dhaka, Bangladesh, http://fse.green.edu.bd/sti-2021/
Review Editor, Wireless Communications
Guest Editor, Special Issue "Automatic Diagnosis of Cancer Using Machine Learning", Journal of Healthcare Engineering, Hindawi, https://www.hindawi.com/journals/jhe/si/802035/
Guest Editor, Special Issue "The Effect of Data Pre-processing and Feature Selection on Learning", https://www.mdpi.com/journal/signals/special_issues/Feature_Selection_Learning
TPC Member, 2nd International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2021), Tribhuvan University, Nepal, http://icmcsi.com/2021/index.html
TPC Member, 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI 2020), Green University, Dhaka, Bangladesh, http://fse.green.edu.bd/sti-2020/
TPC Member, Wireless Sensor Networks Symposium (IWCMC 2020), Limassol, Cyprus, https://iwcmc.org/2020/
TPC Member, International Conference on Sustainable Expert Systems (ICSES-2020), Tribhuvan University, Nepal, http://icoses.com/
Reviewer: IEEE Transaction on Vehicular Technology

IEEE Transaction on Communication

IEEE Transactions on Wireless Communications

IEEE Transactions on Network and Service Management

IEEE Transactions on Cognitive Communications and Networking

IEEE/ACM Transactions on Networking

IEEE Access

Vehicular Communications, Elsevier

IET Signal Processing

Sensors

Neural Computing and Applications

Cluster Computing.

Job Experience:

Mar 2021 - Today Professor, Computer Science and Engineering Discipline, Khulna University

Nov 2016 - Mar 2021 Associate Professor, Computer Science and Engineering Discipline, Khulna University

Sep 2014 - Dec 2018 Research Student, Dept. of Computer Science and Engineering, Kyung Hee University

Nov 2012 - Nov 2016 Assistant Professor, Computer Science and Engineering Discipline, Khulna University

Nov 2009 - Nov 2012 Lecturer, Computer Science and Engineering Discipline, Khulna University

May 2009 - Nov 2009 Senior Officier, Sonali Bank Ltd.

Feb 2003 - May 2009 Instructor, Computer Technology, Khulna Polytechnic Institute

2014-18       Presidency Scholarship for pursuing Ph.D. Kyung Hee University, South Korea
2014-18       Brain Korea Scholarship for pursuing Ph.D. Kyung Hee University, South Korea
2014 Excellent Paper Award                                      KIISE, South Korea
2015   Best Paper Award                           Korea Computer Congress, South Korea
2016 Best Paper Award Korea Computer Congress, South Korea
2017   Best Presentation Award                              Korea Software Congress, South Korea
2018   IEEE ComSoc Travel Grants                             NOMS 2018, Taiwan
2018   Best Presentation Award                               Korea Computer Congress, South Korea
2018   Best Paper Award                     Korea Software Congress, South Korea
2024 Vice-Chancellor's Award, Research & Academic Excellence Khulna University, Bangladesh
2024      Enlisted in the list of the World’s Top 2% Scientists              Stanford University and Elsevier BV

Supervision

SL	Title	Degree	Role	Start Date	End Date
1	Feature Analysis and Classification of Lung and Colon Cancer Images using Advanced Machine Learning Techniques	Masters	Supervisor	1st July, 2023	30th November, 2024
2	SMART MONITORING AND CONTROL OF NUTRIENT FILM TECHNIQUE HYDROPONIC SYSTEM USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM(ANFIS)	Bachelor	Supervisor	1st January, 2024	31st December, 2024
3	TumorGANet: A Transfer Learning and Generative Adversarial Network-based Data Augmentation Model for Brain Tumor Classification	Masters	Supervisor	1st July, 2023	30th November, 2024
4	Attention Guided Dynamic D-JSCC Framework for Semantic Communication System	Bachelor	Supervisor	1st January, 2024	31st December, 2024
5	Task Offloading in Edge Computing Framework: A Transportation Theoretic Approach	Bachelor	Supervisor	1st January, 2019	31st December, 2019
6	A Dynamic Image Crystography for RGB Image with Secret Key	Bachelor	Supervisor	1st January, 2019	31st December, 2019
7	Smart Grid Demand Prediction Using Appliance Load For Maximum Electricity Optimization: A Disaggregated Architecture	Bachelor	Supervisor	1st January, 2021	31st December, 2021
8	UAV Assisted Forest Fire Detection Using Deep Convolutional Neutral Network	Bachelor	Supervisor	1st January, 2021	31st December, 2021
9	Vehicle Counting and Classification Based on Incremental Principle Component Pursuit Algorithm	Bachelor	Supervisor	1st January, 2020	31st December, 2020
10	IoT Enabled Smart Mushroom Farming with Deep Learning Based Mushroom Classifier	Bachelor	Supervisor	1st January, 2022	31st December, 2022
11	Recognition of Sunflower Diseases using Hybrid Deep Learning and Its Explainability with AI	Masters	Supervisor	1st July, 2022	June 30, 2023
12	A Hybrid Model for Recognizing Human Activity Using Extreme Learning	Masters	Supervisor	1st July, 2022	31st December, 2023
13	Smart Monitoring and Controlling System for Sustainable Hydroponics Cultivation	Bachelor	Supervisor	1st January, 2023	31st December, 2023
14	NeuroWave-Net: Enhancing Epileptic Seizure Detection from EEG Brain Signals via Advanced Convolutional and Long Short-Term Memory Networks	Masters	Supervisor	1st July, 2023	30th June, 2024
15	BSER: A Learning Framework for Bangla Speech Emotion Recognition	Masters	Supervisor	1st July, 2021	30th June, 2024

Current Students:

M. Raihan (PhD)
Nadim Samrat (MSc)
Uma Datta (BSc)
Shaikh Jaberul Islam (BSc)
Susmita Biswas (BSc)
Parthoraj Nandi (BSc)

Alumni Students:

Pradip Paul (BSc. Engg., Passing Year: December 2024)
Ram Nabin Singh Danuwar (BSc. Engg., Passing Year: December 2024)
Istyaque Ahammed (BSc. Engg., Passing Year: December 2024)
Sumaiah Binta Musa (BSc. Engg., Passing Year: December 2024)
A K Z Rasel (MSc Engg., Passing Year: November 2024)
Anindya Nag (MSc Engg., Passing Year: November 2024)
Md. Mehedi Hassan (MSc Engg., Passing Year: June 2024)
Md. Mahadi Hasan (MSc Engg., Passing Year: June 2024)
Promila Ghose (MSc Engg., Passing Year: June 2023)
Arafat Rahman (MSc Engg., Passing Year: December 2023)
Nishat Tasneem Meem (BSc Engg., Passing Year: December 2023)
Moniruzzaman (BSc Engg., Passing Year: December 2023)
Md. Nazmul Abdal (BSc Engg., Passing Year: December 2022)
Md. Azizul Haque (BSc Engg., Passing Year: December 2022)
A. K. Z Rasel Rahman (BSc Engg., Passing Year:December 2021)
S. M Nabil Sakif (BSc Engg., Passing Year: December 2021)
Rajat Mitra Raja (BSc Engg., Passing Year: December 2021)
S. M. Sazid Hasan (BSc Engg., Passing Year: December 2021)
Farhana Khandokar (BSc Engg., Passing Year: December 2020)
Samiha Ahman (BSc Engg., Passing Year: December 2019)
Ferdousi Haque (BSc Engg., Passing Year: December 2019)
Sheikh Sohel Moon (BSc Engg., Passing Year: December 2019)
Mesbah Ur Rahman (BSc Engg., Passing Year: December 2019)

coming soon...

J: Journal, C: Conference, P: Patent, W: Workshop, BC: Book Chapter

2025

175. [J] Sajib Chatterjee; Musfiq Rahman; Md. Rahul Islam; Md. Mehedi Hassan; Rezuana Haque; Friso De Boer; Anupam Kumar Bairagi, Asif Karim, Precision Protein Folding leveraging Ant Lion Optimization , Submitted

174. [J] M. Raihan, Anjan Debnath, Prokash Chondra Adhikary, Nadim Samrat, Sujit Biswas, Ahmed Wasif Reza and Anupam Kumar Bairagi, Predicting Student’s Stress During Exam: A Time Series Analysis using Explainable AI and Deep Learning Models , Submitted

173. [J] , Attitudes of Bangladeshi Medical Students Towards Artificial Intelligence: A Web-based Cross-Sectional Study , Submitted

172. [J] Farida Siddiqi Prity, Mirza Raquib, Saydul Akbar Murad, Md. Jubayar Alam Rafi, Md. Khairul Bashar Bhuiyan, Mehedi Masud, Hossam Meshref and Anupam Kumar Bairagi, Neural Network-based Study for Rice Leaf Disease Recognition and Classification: A Comparative Analysis Between Feature-based Model and Direct Imaging Model, Submitted

171. [J] Arpita Rani Dey, Sheikh Ridwan Raihan Kabir, Md. Mehedi Hassan, Anindya Nag, Sujit Biswas and Anupam Kumar Bairagi, Electric Energy Demand-Supply Optimization by Utilizing Ensemble Learning Framework, Submitted

170. [J] Divya Singh, Bikesh Kumar Singh, Ajoy Kumar Behera, Md. Mehedi Hassan, Anurag Sinha, Anupam Kumar Bairagi, and Naglaa F. Soliman, TLMACEA: Design of a transfer learning model for correlative analysis of auscultation & clinical parameters via explainable AI-based recommender, Submitted

169. [J] Sakhshra Monga, Retinderdeep Singh, Nitin Saluja, Chander Prabha, Navita Gupta, Shivani Malhotra, Anupam Kumar Bairagi and Md. Mehedi Hassan, Advanced 3D MRI Brain Tumor Segmentation Leveraging U-Net Architecture, Submitted

168. [J] Joy Bakshi, Hirak Mondal, Md. Mehedi Hassan, Shahab Abdulla, Anupam Kumar Bairagi and Anindya Nag, Third-Order Recurrence Relations for Optimizing Profit Margins in Network Marketing: A Mathematical Model, Submitted

SeniorMe

167. [C] Lokesh Krishnan, Nitesh Upadhyaya, Herat Joshi, Md. Mehedi Hassan, Asif Karim, and Anupam Kumar Bairagi , Predicting the Impact of Infectious Diseases on Suicide Rates Using a Comprehensive Machine Learning Approach, Submitted

166. [J] Saima Siddika, Hirak Mondal, Anindya Nag, Md. Mehedi Hassan, Anupam Kumar Bairagi, Asif Karim, Dysregulated Brain Networks in Major Depressive Disorder: A Comprehensive Review of Functional and Effective Connectivity Alterations in Emotion Regulation, Reward Processing, and Executive Function, Submitted

165. [J] Saydul Akbar Murad, Zafril Rizal M Azmi, Md. Murad Hossain Sarker, Mohammad Kamrul Hasan, MD. Khairul Bashar Bhuiyan , Md Saib, Anupam Kumar Bairagi and Sujit Biswas, Revolutionizing Cloud Computing: A Novel Approach with Shortest Gap Priority-Based Fair Scheduling (SG-PBFS) for Optimal Job Scheduling  , Submitted

164. [J] Lokesh Krishnan, Md. Mehedi Hassan, Herat Joshi, Anindya Nag, Asif Karim and Anupam Kumar Bairagi, Analyzing the Impact of Infectious Diseases on Suicide Rates: A Machine Learning Approach to Predictive Modeling from 1985 to 2016, Submitted

163. [J]Shenson Joseph, Herat Joshi, Md. Mehedi Hassan, and Anupam Kumar Bairagi, Advancing Quantum Machine Learning: From Theoretical Concepts to Experimental Implementations, Submitted

162. [J] Karan Bajaj; Shaily Jain; Raman Singh; Md. Mehedi Hassan; Anupam Kumar Bairagi; Sheikh Mohammed Shariful Islam, and Chander Prabha, Smart Offloading for IoT Application: Building a Fog-Cloud based Context Aware Offloading Framework and Exploring Potential for Integration with Blockchain, Submitted

161. [J] ----, Longitudinal Observations on Blood Pressure Before Dialysis: Strategies for Optimal Patient Care, Submitted

160. [J] ----, Air Quality and Dust Level Monitoring Systems in Hospitals using IoT, Submitted

159. [J] Israt Jahan, K. M. Aslam Uddin, Md. Mahbubul Alam, Sarna Majumder, Saydul Akbar Murad, M.Saef Ullah Miah, Md. Murad Hossain Sarker and Anupam Kumar Bairagi, HexaPoxNet: Advanced Deep Learning Strategies for Identifying and Categorizing Monkeypox Lesions in Human Patients, Submitted

158. [J] ---, Dentification Of Edible Oil From Adulterants By Atr-Mir Spectroscopy With Machine Learning, Submitted

157. [J] Harmanjeet Singh, Jasneet Chawla, Chander Prabha, Md. Mehedi Hassan, and Anupam Kumar Bairagi, Torki Altameem, Rajkumar Singh Rathore, and Walid El-Shafai, Optimizing Long Short-Term Memory Networks for Stock Price Prediction Using the Artificial Rabbits Optimization Algorithm, Submitted

156. [J] Md. Mehedi Hassan, Sadika Zaman, Md. Mushfiqur Rahman, M. Raihan, Md. Mehadi Hasan Shakil, Chetna Kaushal, Anupam Kumar Bairagi, Torki Altameem, Rajkumar Singh Rathore, and Walid El-Shafai, Systematic and Efficient Prediction of Hepatitis C Virus (HCV) Infection Using Machine Learning and Feature Engineering Models, Submitted

155 [J] Hadia Motin, Puspendu Biswas Paul, Zohaib Latif, Anupam Kumar Bairagi, Saraju Mohanty, Sujit Biswas, iAgri: A Smart Agriculture Framework for Intelligent Weather Forecasting and Analysis of Its Impact on Crop-Yield, Submitted

154. [J] R. Arul Jose, S. Gopikumar, Y. Harold Robinson, N. Ragavendran, S. Vimal, P. Subbulakshmi, Asif Karim, Anupam Kumar Bairagi, and Md. Mehedi Hassan, Novel Methods on Smart City Building through IoT based Sustainable PV Energy adopted with Fuzzy and MPPT Algorithm, Submitted

153. [J] Shakuntla Singla, Diksha Mangla, Poonam Panwar, Pooja Dhawan, Anupam Kumar Bairagi and Md. Mehedi Hassan, Preventive maintenance and Failure Rate impact on a Complex Configured System: A Sensitive Analysis, Submitted

152. [J] Abdullah Al Noman, Swajan Golder, Hafsa Sultana, Rafflesia Khan, Rameswar Debnath, Mashael M. Alsulami, Mehedi Masud, Anupam Kumar Bairagi, Automated Segmentation and Shape Classification of Leaves and Fruits from Bunch Leaf and Fruit Image Using Faster R-CNN: An Application for Smart Agriculture, Submitted

151. [J] Shaily Jain, Neetu Rani, Chander Prabha, Farhana Yasmin, Anupam Kumar Bairagi, Md. Mehedi Hassan, Advancements and Challenges of Augmented Reality in Intelligent Healthcare: A Qualitative Analysis, Submitted

150. [J] Sakhshra Monga, Nitin Saluja, Chander Prabha, Roopali Garg, Sujit Biswas, Anupam Kumar Bairagi, Senior
Member, IEEE, Md. Mehedi Hassan*, Md. Mehedi Hassan, Optimizing IRS-Assisted Wireless Communication: A Synergy of CNN-LSTM and CNN-BiLSTM Techniques for Channel Estimation, Submitted

149. [J] Maninderjeet Singh, Nitin Kumar Saluja, Chander Prabha, Anupam Kumar Bairagi, Md. Mehedi Hassan, Utilizing Rice Straw Waste for High Energy Density Biochar Production through Vacuum-Assisted Microwave Pyrolysis, Submitted

148. [J] Md. Mehedi Hassan, Mahade Hasan, Farhana Yasmin, Yu Xue, S Vimal, Anupam Kumar Bairagi, Naglaa F. Soliman, Abeer D. Algarni, Enhancing Stroke Disease Classification through Machine Learning Models via a Novel Voting System by Feature Selection Techniques, Submitted

147. [J] Himanshu Bansal, Anurag Sinha, Garvit Agarwal, Shantanu Kumar Mishra, Shelly Gupta, Anupam Kumar Bairagi, Md. Mehedi Hassan, Enhanced Tree Enumeration through Satellite Imagery and Hybrid Ensemble Cyclic Averaging Stacked Chain Deep Learning Model with BRO Algorithm Optimization, Submitted

146. [J] Sujit Biswas, Suranjeet Chowdhury Avik, Md. Atiqur Rahman Ahad, Zohaib Latif, Abdullah Alghamdi, Hamad Abosaq, Anupam Kumar Bairagi, Blockchain as a Solution for IoT Ecosystem's Threats and Challenges: A Systematic Review, Submitted

145. [J] Tamanna Zubairi Sana, Anindya Nag, Ayontika Das, Md. Mehedi Hassan, Sanjana Mahmud, Asmita Barua, Asif Karim, Anupam Kumar Bairagi, Is Deep Learning the Key to Uncovering Phishing Vulnerabilities? A Hybrid Model for Detection using Convolution Neural Network and Long Short-Term Memory: A Comprehensive Study, Submitted

144. [J] Hirak Mondal, Mehedi Hassan, Rezuana Haque, Shimul Das, Anupam Kumar Bairagi, Asif karim, Sheikh Mohammed Shariful Islam, AgriNetAI: Synergizing Real-Time Data for Advanced Bean Leaf Disease Classification through Transfer Learning with Explainable AI Insights, Submitted

143. [J] -----, EvoUNet: Revolutionizing Brain Tumor Segmentation with Evolutionary Architecture, Precision, and Clinical Excellence Using MRI Data, Submitted

142. [J] Anurag Sinha, Md. Mehedi Hassan, Hirak Mondal, Tripti Rathee, Minakshi Tomer, Ajay Kushwaha, Ashish Dhiman, and Anupam Kumar Bairagi, Harmonic Fusion: Unveiling the Power of Spectrograms and Phonology in Multimodal Speech Recognition through the Synergy of Information Fusion, Accepted in

141. [J] Lamima Tabassum Ava, Md. Mehedi Hassan, Md Shahin Ali, Mashnoon Islam, Asif Karim, Sami Azam, and Anupam Kumar Bairagi, A Comprehensive Study on Transfer Learning with BERT for Improved Detection of Hate Speech in Video Content, Submitted

140. [J] Nusrat Jahan, K. M. Aslam Uddin, Saydul Akbar Murad, M. Saef Ullah Miah, Md. Bipul Hossain, Apurba Adhikary, Anupam Kumar Bairagi, Md. Mehedi Hassan, Naglaa F. Soliman, Deadline-constraint Priority Scheduling Strategy in Cloud Computing Environments, Submitted

139. [J] --, A comprehensive review on Mapping Brain Connectivity in Major Depressive Disorder, Submitted

138. [C] Fatema Jannat Dihan, Saydul Akbar Murad, Abu Jafar Md Muzahid, K. M. Aslam Uddin, Anupam Kumar Bairagi, Sujit Biswas, MpoxSLDNet: A Novel CNN Model for Detecting Monkeypox Lesions and Performance Comparison with Pre-trained Models, Submitted

137. [C] Md. Mehedi Hassan, Htet Wai Aung, Ei Phyu Moe, Kyaw Kyaw Oo, Si Thu Aung, Sayeda Mayesha Yousuf, Anupam Kumar Bairagi, Improvement of Acute Lymphoblastic Leukemia Classification by using Convolutional Neural Network with Squeeze and Excitation Method, Submitted

136. [J] Nusrat Jahan Prottasha, Md. Shohanur Islam Sobuj, Md. Kowsher, Saydul Akbar Murad, Israt Jahan Anny, Barnali Adhikari, Jahirul Islam, Anupam Kumar Bairagi and Sujit Biswas, Enhancing Machine Translation Performance: A Deep Fusion Approach with Bi-LSTM and Attention Mechanism, Submitted

135. [J] Niloy Das, Md. Bipul Hossain, Apurba Adhikary, Avi Deb Raha, Yu Qiao, Md. Mehedi Hassan, and Anupam Kumar Bairagi, Enlightened Prognosis: Hepatitis Prediction with an Explainable Machine Learning Approach, Accepted in PLOS ONE (Q1, Impact Factor: 2.90)

134. [J] Mrityunjoy Gain, Asadov Amirjon, Sumit Kumar Dam, Apurba Adhikary, Anupam Kumar Bairagi, Rameswar Debnath and Avi Deb Raha, Dynamic Balanced Training Regimes: Elevating Model Performance Through Iterative Training with Imbalanced Superset and Balanced Subset Alternation, in Expert Systems With Applications (Q1, Impact Factor: 7.50), Vol. 269, January 2025; https://doi.org/10.1016/j.eswa.2025.126423

133. [C] Avi Deb Raha, Mrityunjoy Gain, Sudip Kumar Saha, Md. Shohanur Rahman, Apurba Adhikary, Rameswar Debnath, Anupam Kumar Bairagi, and Sujit Biswas, Resource-Aware Monkeypox Diagnosis: Leveraging High-Capacity and Lightweight Models with Knowledge Distillation, in 17th International Conference on COMmunication Systems & NETworkS (COMSNETS 2025), SysAI Workshop, January 6 - 10, 2025, Bengaluru, India; https://ieeexplore.ieee.org/document/10885586

2024

132. [BC] Anindya Nag, Md. Mehedi Hassan, Mohammad Abu Tareq Rony, Biva Das, Riya Sil, Prianka Saha, Pronab Sarker, and Anupam Kumar Bairagi, Fusing Sentiment Analysis with Hybrid Collaborative Algorithms for Enhanced Recommender Systems, in Book: Wellness Management Powered by AI Technologies, Wiley, December 2024; https://doi.org/10.1002/9781394287024.ch13

131. [J] Hasibur Rahman, K. M. Aslam Uddin, Nusrat Jahan, Apurba Adhikary, Samrat Kumar Dey, Monishanker Halder, Avi Deb Raha, Mrityunjoy Gain, Sumit Kumar Dam,Yu Qiao, and Anupam Kumar Bairagi, INCV: An Inception Network Based Deep Learning Framework for Signature Recognition, in Khulna University Studies, Volume 21 Issue 2: KUS: 1180: 03032024: 2024, December 2024; https://kus.ku.ac.bd/kustudies/article/view/1180

130. [C] Nadim Samrat, Mazharul Islam, Sadia Islam Sharmi, Rasmy Akter, Anjan Debnath, M. Raihan, Anindya Nag, and Anupam Kumar Bairagii, Explainable AI-Driven Handwriting Analysis for Early Alzheimer’s Disease Detection Using Machine Learning and Ensemble Models, in 27th International Conference on Computer and Information Technology (ICCIT 2024), December 20-22, 2024, Cox's Bazar, Bangladesh;

129. [C] , Lightweight and Trustworthy Deep Learning Model for Fish Freshness Detection: An XAI-Driven Approach, in 27th International Conference on Computer and Information Technology (ICCIT 2024), December 20-22, 2024, Cox's Bazar, Bangladesh

128. [C] , Navigating the Obscured: A Novel Deepfake Detection Framework Tackling Trending Occlusions in Social Media, in 27th International Conference on Computer and Information Technology (ICCIT 2024), December 20-22, 2024, Cox's Bazar, Bangladesh

127. [C] , Equitable Federated Learning for Skin Cancer Detection: A Fairness-Driven Approach, in 27th International Conference on Computer and Information Technology (ICCIT 2024), December 20-22, 2024, Cox's Bazar, Bangladesh

126. [J] Niloy Sikder, Md. Al-Masrur Khan, Anupam Kumar Bairagi, Mehedi Masud, Jun Jiat Tiang and Abdullah-Al Nahid, Heterogeneous Virus Classification using a Functional Deep Learning Model based on Transmission Electron Microscopy Images, in Scientific Reports (Q1, Impact Factor: 3.80), 14, 28954, November 2024; https://www.nature.com/articles/s41598-024-80013-0

125. [J] Sujit Biswas, Kashif Sharif, Zohaib Latif, Mohammed J. F. Alenazi, Ashok Kumar Pradhan and Anupam Kumar Bairagi, Blockchain Controlled Trustworthy Federated Learning Platform for a Smart Homes, in IET Communications (Q2, Impact Factor: 1.50), November 2024; http://doi.org/10.1049/cmu2.12870

124. [J] Avi Deb Raha, Fatema Jannat Dihan, Mrittunjoy Gain, Saydul Akbar Murad, Apurba Adhikary, Md. Bipul Hossain, Md. Mehedi Hassan, Taher Al-Shehari, Nasser A. Alsadhan, Mohammed Kadrie, and Anupam Kumar Bairagi, Modeling and Predictive Analytics of Breast Cancer Using Ensemble Learning Techniques: An Explainable Artificial Intelligence Approach, in Computers, Materials & Continua (Q2, Impact Factor: 2.00), Tech Science Press, November 2024; https://www.techscience.com/cmc/online/detail/21955

123. [BC] Tamanna Haque Ritu, Anindya Nag, Anupam Kumar Bairagi and Arafat Rahman, Digital Twins for Healthcare in Industry 5.0: Fundamentals, Pharmaceutical Manufacturing Applications, Diagnostic Precision, Digital Patient Innovations, and Drug Discovery Impact, in Soft Computing in Industry 5.0 for Sustainability, pp. 357-376, Springer, Cham, November 2024; https://link.springer.com/chapter/10.1007/978-3-031-69336-6_16

122. [C] A.K.Z. Rasel Rahman, Promila Ghosh, Avi Deb Raha, Sujit Biswas, and Anupam Kumar Bairagi, Focusing on Subtleties: Class-Specific Attention-Based Deep Learning for Precise Diagnosis of Lung and Colon Cancers, in 2nd International Conference on Machine Intelligence and Emerging Technologies (MIET 2024) , November 8-9, 2024, NSTU, Noakhali, Bangladesh

121. [C] Md. Nazmul Abdal, Md. Azizul Haque, Md. Mehedi Hassan, Md. Nasim Adnan, Apurba Adhikary, Sujit Biswas, Md Shirajum Munir, and Anupam Kumar Bairagi, IoT-Based Mushroom Farming, and Classification of Mushroom Using Deep Learning, in 2nd International Conference on Machine Intelligence and Emerging Technologies (MIET 2024) , November 8-9, 2024, NSTU, Noakhali, Bangladesh

120. [J] Divya Sharma, Chander Prabha, Md. Mehedi Hassan, Shahab Abdulla, Anupam Kumar Bairagi, Samah Alshathri, and Walid El-Shafai, Securing X-Ray Images into Cover Images Using Hybrid EBS Steganography with Five-Layer Cryptography, in IEEE Access (Q1, Impact Factor: 3.90), vol. 12, pp. 165050-165067, October 2024; https://ieeexplore.ieee.org/document/10740168

119. [J] M. Raihan, Anjan Debnath, Prokash Adhikary, Mehedi Masud, Hossam Meshref, and Anupam Kumar Bairagi, Bridging Technology and Psychology: AI-Driven Analysis of Student’s Class Lecture Activity for Improved Learning Outcomes, in IEEE Access (Q1, Impact Factor: 3.90), vol. 12, pp. 147320-147349, October 2024; https://ieeexplore.ieee.org/document/10706218

118. [BC] Hirak Mondal, Saima Siddika, Anindya Nag, and Anupam Kumar Bairagi, Diabalance ML: Enhancing diabetes detection performance through dataset balancing strategies, In Book: Industry 6.0: Technology, Practices, Challenges, and Applications, CRC Press, Taylor & Francis Group, LLC, October, 2024; https://www.taylorfrancis.com/chapters/edit/10.1201/9781003517993-10

117. [C] Fatematuzzohar, Sujit Biswas, Anupam Kumar Bairagi, and Kashif Sharif, Nature-based Bengali Picture Captioning using Global Attention with GRU, in IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP 2024), 22-25 September 2024, London, UK; https://ieeexplore.ieee.org/document/10734813

116. [J] Anindya Nag, Hirak Mondal, Md. Mehedi Hassan, Taher Al-Shehari, Mohammed Kadrie, Muna Al-Razgan, Taha Alfakih, Sujit Biswas, and Anupam Kumar Bairagi, TumorGANet: A Novel Transfer Learning and Generative Adversarial Network-based Data Augmentation Model for Brain Tumor Classification, in IEEE Access (Q1, Impact Factor: 3.90), vol. 12, pp. 103060-103081, July 2024; https://ieeexplore.ieee.org/document/10600471

115. [C] Md Kowsher, Ritesh Panditi, Nusrat Jahan Prottasha, Prakash Bhat, Anupam Kumar Bairagi and Mohammad Shamsul Arefin, Token Trails: Navigating Contextual Depths in Conversational Modeling with ChatLLM, in 29th International Conference on Natural Language & Information Systems (NLDB 2024), 25-27 June 2024, University of Turin, Italy; https://link.springer.com/chapter/10.1007/978-3-031-70242-6_6

114. [C] Md. Azizul Haque, Atanu Shome and Anupam Kumar Bairagi, Diagnosis of Pulmonary Embolism from CT Pulmonary Angiogram by Using Deep Transfer Learning and Sobel Filter, in 15th International IEEE Conference on Computing Communication and Networking Technologies (ICCCNT 2024), June 24 - 28, 2024, IIT - Mandi, Himachal Pradesh, India; https://ieeexplore.ieee.org/document/10726149

113. [J] Moupriya Das, Anindya Nag, Md. Mehedi Hassan, Arkya Santra, Nisarga Chand, Farhana Yasmin, Anurag Sinha, Anupam Kumar Bairagi, and Ahmed Alkhayyat Synergy of 6G Technology and IoT Networks for Transformative Applications, in International Journal of Communication Systems (Q2, Impact Factor: 2.10), June 2024; https://doi.org/10.1002/dac.5869

112. [J] Atanu Shome, Meer Muttakin Alam, Sumaiya Jannati, and Anupam Kumar Bairagi, Monitoring human behaviour during pandemic - attacks on healthcare personnel scenario, in Telematics and Informatics Reports, Elsevier, June 2024;
https://doi.org/10.1016/j.teler.2024.100149

111. [J] Sakhshra Monga, Nitin Saluja, Chander Prabha, Roopali Garg, Anupam Kumar Bairagi, Md. Mehedi Hassan, Optimizing Multi-User Wireless Networks through DFT-Based Channel Estimation with Cascaded Intelligent Reflecting Surfaces, in IET Wireless Sensor Systems (Q2, Impact Factor: 2.506), June, 2024;
https://doi.org/10.1049/wss2.12081

110. [C] Md. Mahadi Hasan, M. Raihan, Md. Mehedi Hassan, and Anupam Kumar Bairagi, BSER: A Learning Framework for Bangla Speech Emotion Recognition, in 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT2024), May 2-4, 2024, Dhaka, Bangladesh. https://ieeexplore.ieee.org/document/10534493

109. [C] Mrityunjoy Gain, Avi Deb Raha, Bristy Biswas, Anupam Kumar Bairagi, Apurba Adhikary, and Rameswar Debnath, LEO Satellite Oriented Wildfire Detection Model Using Deep Neural Networks: A Transfer Learning Based Approach, in 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT2024), May 2-4, 2024, Dhaka, Bangladesh. https://ieeexplore.ieee.org/document/10534509

108. [J] Md. Mehedi Hassan, Rezuana Haque, Sheikh Mohammed Shariful Islam, Hossam Meshref, Roobaea Alroobaea, Mehedi Masud, Anupam Kumar Bairagi, NeuroWave-Net: Enhancing epileptic seizure detection from EEG brain signals via advanced convolutional and long short-term memory networks, in AIMS Bioengineering (Q2, Impact Factor: 2.30), vol. 11, no. 1, pp. 85-109, April 2024; https://www.aimspress.com/article/doi/10.3934/bioeng.2024006

107. [J] Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi and Sheikh Mohammed Shariful Islam, Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism, in IEEE Access (Q1, Impact Factor:3.90), vol. 12, pp. 51942-51965, April 2024; https://ieeexplore.ieee.org/document/10491259

106. [J] Sajib Chatterjee, Rameswar Debnath, Sujit Biswas, and Anupam Kumar Bairagi, Prediction of RNA Secondary Structure Using Butterfy Optimization Algorithm, in Human-Centric Intelligent Systems, Springer Nature, March 2024; https://doi.org/10.1007/s44230-024-00062-6

105. [J] Md. Mehedi Hassan, Sadika Zaman, Md. Mushfiqur Rahman, Anupam Kumar Bairagi, Walid El-Shafai, Rajkumar Singh Rathore, and Deepak Gupta, Efficient Prediction of Coronary Artery Disease Using Machine Learning Algorithms with Feature Selection Techniques, in Computers and Electrical Engineering (Q1, Impact Factor: 4.30), vol. 115, February 2024; https://doi.org/10.1016/j.compeleceng.2024.109130

104. [BC] Hirok Mondal, Md. Mehedi Hassan, Anindya Nag, and Anupam Kumar Bairagi, The Integration of Federated Deep Learning with Internet of Things in Healthcare, in Book Federated Deep Learning for Healthcare: A Practical Guide with Challenges and Opportunities, CRC Press, Taylor & Francis Group, LLC, January 2024; https://doi.org/10.1201/9781032694870

103. [J] Rezuana Haque, Md. Mehedi Hassan, Anupam Kumar Bairagi and Sheikh Mohammed Shariful Islam, NeuroNet19: An Explainable Deep Neural Network Model for the Classification of Brain Tumours Using Magnetic Resonance Imaging Data , in Scientific Reports (Q1, Impact Factor: 4.90), 14, 1524, January 2024; https://www.nature.com/articles/s41598-024-51867-1

2023

102. [C] Arafat Rahman, Aninda Nag and Anupam Kumar Bairagi, A Hybrid Model for Recognizing Human Activity Using Extreme Learning, in 26th International Conference on Computer and Information Technology (ICCIT 2023), December 13-15, 2023, Cox's Bazar, Bangladesh; https://ieeexplore.ieee.org/document/10441574

101. [J] Kaushlendra Sharma, Md. Mehedi Hassan, Saroj Kumar Pandey, Mimansha Saini, Rajesh Doriya, Manoj Kumar Ojha, Anurag Sinha, Chetna Kaushal, Anupam Kumar Bairagi, and Naglaa F. Soliman, Cloud based Multi-Robot Task Scheduling using PMW Algorithm, in IEEE Access (Q1, Impact Factor: 3.90), vol. 11, pp. 146003-146013, December 2023; https://ieeexplore.ieee.org/abstract/document/10365149

100. [J] Saydul Akbar Murad, Zafril Rizal M Azmi, Abu Jafar Md Muzahid, Md. Murad Hossain Sarker, M. Saef Ullah Miah, Khairul Bashar Bhuiyan, Nick Rahimi, and Anupam Kumar Bairagi, Priority based job scheduling technique that utilizes gaps to increase the efficiency of job distribution in cloud computing, in Sustainable Computing: Informatics and Systems (Q1, Impact Factor: 4.50), vol. 41, December 2023; https://doi.org/10.1016/j.suscom.2023.100942

99. [J] Md. Mehedi Hassan, Mohammad Abu Taraq Rony, Md. Asif Rakib Khan, Md. Mahedi Hassan, Farhana Yasmin, Anindya Nag, Tazria Helal Zarin, Anupam Kumar Bairagi, Samah Alshathri and Walid El-Shafai, Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness, in IEEE Access (Q1, Impact Factor: 3.90), vol. 11, pp. 132196 - 132222, November 2023; https://ieeexplore.ieee.org/document/10320349

98. [BC] Anindya Nag, Biva Das, Riya Sill, Anupam Kumar Bairagi, Alok Dutta, Pranto Bosu, Application of artificial intelligence in the diagnosis and treatment of cancer: A Comprehensive Review, in Book: Internet of Things and Big Data Analytics Based Manufacturing, Taylor & Francis Group, LLC, October 2023; https://www.taylorfrancis.com/chapters/edit/10.1201/9781032673479-18

97. [J] Anjan Debnath, Md. Mahedi Hasan, M. Raihan, Nadim Samrat, Mashael M. Alsulami, Mehedi Masud, and Anupam Kumar Bairagi, A Smartphone Based Tomato Leaf Disease Detection using EfficientNetV2B2 and its Explainability with Artificial Intelligence (AI), in Sensors (Q1, Impact Factor: 3.90) 2023, vol. 23, no. 21, October 2023; https://www.mdpi.com/1424-8220/23/21/8685

96. [J] K. M. Aslam Uddin, Farida Siddiqi Prity, Maisha Tasnim, Sumiya Nur Jannat, Mohammad Omar Faruk, Jahirul Islam, Saydul Akbar Murad, Apurba Adhikary and Anupam Kumar Bairagi, Machine Learning-based Screening Solution for COVID-19 Cases Investigation: Socio-demographic and Behavioral Factors Analysis and COVID-19 Detection, in Human-Centric Intelligent Systems, Springer Nature, October 2023; https://doi.org/10.1007/s44230-023-00049-9

95. [BC] Anindya Nag, Biva Das, Ayontika Das, Moupriya Das and Anupam Kumar Bairagi, Machine Learning Feature Selection Method for Anatomic Brain MRI in Dementia: A Comparative Study, In book: Artificial Intelligence based
Solutions for Industrial Applications,
CRC Press, Taylor & Francis Group, LLC, September 2023; https://www.taylorfrancis.com/chapters/edit/10.1201/9781003534761-10

94. [C] Saydul Akbar Murad, Zafril Rizal M Azmi, Faria Jerin Brishti, Md. Saib and Anupam Kumar Bairagi, Priority Based Fair Scheduling: Enhancing Efficiency in Cloud Job Distribution, in 2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS), pp. 170-175, August 25-27, 2023, Penang, Malaysia; https://doi.org/10.1109/ICSECS58457.2023.10256273

93. [J] Pallab Banerjee, Sharmistha Roy, Anurag Sinha, Md. Mehedi Hassan, Shrikant Burje, Anupam Agrawal, Anupam Kumar Bairagi, Samah Alshathri, Walid El-Shafai, MTD-DHJS: Makespan-Optimized Task Scheduling Algorithm for Cloud Computing with Dynamic Computational Time Prediction, in IEEE Access (Q1, Impact Factor: 3.90), vol. 11, pp. 105578-105618, September 2023; https://ieeexplore.ieee.org/document/10261870

92. [C] M. Raihan, Anindya Nag, Md. Mehedi Hassan and Anupam Kumar Bairagi, Psychological Stress Prediction of Human Using Machine Learning Algorithms, in 2nd International Conference on Big Data, IoT and Machine Learning (BIM 2023), September 6-8, 2023, Dhaka, Bangladesh.

91. [J] Saydul Akbar Murad, Zafril Rizal M Azmi, Abu Jafar Md Muzahid, Md. Khairul Bashar Bhuiyan, Md Saib, Nick Rahimi, Nusrat Jahan Prottasha, and Anupam Kumar Bairagi, SG-PBFS: Shortest Gap-Priority Based Fair Scheduling Technique for Job Scheduling in Cloud Environment, in Future Generation Computer Systems (Q1, Impact Factor: 7.50), vol. 150, pp. 232-242, September 2023; https://doi.org/10.1016/j.future.2023.09.005

90. [J] Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, Sadika Zaman, Anupam Kumar Bairagi, Walid El-Shafai, Hassan Fouad and Yang Chang Chun GastroNet: Gastrointestinal polyp and abnormal feature detection and classification with deep learning approach, in IEEE Access (Q1, Impact Factor: 3.90), vol. 11, pp. 97605-97624, September 2023; https://ieeexplore.ieee.org/document/10243003

89. [J] Farhana Yasmin, Md Mehedi Hassan, Mahade Hasan, Sadika Zaman, Jarif Huda Angon, Anupam Kumar Bairagi and Yang Chang Chun, AAQINet: A Hybrid Model for High Precision Time Specific Forecasting of Air Quality Index with Cluster Analysis, in Human-Centric Intelligent Systems, Springer Nature, August 2023; https://doi.org/10.1007/s44230-023-00039-x

88. [J] Md. Bipul Hossain, Anika Shama, Apurba Adhikary, Avi Deb Raha, K M Aslam Uddin, Mohammad Amzad Hossain, Imtia Islam, Saydul Akbar Muradand, Md. Shirajum Munir, and Anupam Kumar Bairagi, An Explainable Artificial Intelligence Framework for the Predictive Analysis of Hypo and Hyper Thyroidism using Machine Learning Algorithms, in Human-Centric Intelligent Systems, Springer Nature, June 2023; https://link.springer.com/article/10.1007/s44230-023-00027-1

87. [J] Promila Ghosh, Amit Kumar Mondal, Sajib Chatterjee, Mehedi Masud, Hossam Meshref, and Anupam Kumar Bairagi, Recognition of Sunflower Diseases using Hybrid Deep Learning and its Explainability with AI, in Mathematics(Q2, Impact Factor: 2.592) vol. 11, no. 10, May 2023; https://www.mdpi.com/2227-7390/11/10/2241

86. [J] Md. Mehedi Hassan, Md. Mahedi Hassan, Farhana Yasmin, Md. Asif Rakib Khan, Sadika Zaman, Galibuzzaman, Khan Kamrul Islam, and Anupam Kumar Bairagi, A comparative assessment of machine learning algorithms with the Least Absolute Shrinkage and Selection Operator for breast cancer detection and prediction, in Decision Analytics Journal, Elsevier, May 2023; https://doi.org/10.1016/j.dajour.2023.100245

85. [J] Nusrat Jahan Prottasha, Saydul Akbar Muradb, Abu Jafar Md Muzahid, Masud Rana, Md Kowsherd, Apurba Adhikary, Sujit Biswas and Anupam Kumar Bairagi, Impact Learning: A Learning Method from Feature’s Impact and Competition, in Journal of Computational Science (Q1, Impact Factor: 3.817), vol. 69, May 2023; https://doi.org/10.1016/j.jocs.2023.102011

84. [J] Md. Mehedi Hassan, Md. Mahedi Hassan, Swarnali Mollick, Md. Asif Rakib Khan, Farhana Yasmin, Anupam Kumar Bairagi, M. Raihan, Shibbir Ahmed Arif, and Amrina Rahman, A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records, in Human-Centric Intelligent Systems, Springer Nature, February 2023; https://doi.org/10.1007/s44230-023-00017-3

83. [J] Sujit Biswas, Zigang Yao, Lin Yan, Abdulmajeed Alqhatani, Anupam Kumar Bairagi, Fatima Asiri, Mehedi Masud, Interoperability Benefits and Challenges in Smart City Services: Blockchain As a Solution, in electronics (Q2, Impact Factor: 2.690), vol. 12, no.4, pp. 1-13, February 2023; https://doi.org/10.3390/electronics12041036

82. [J] Mrityunjoy Gain, Md Arifur Rahman, Rameswar Debnath, Mrim M. Alnfiai, Abdullah Sheikh, Mehedi Masud,and Anupam Kumar Bairagi, An Improved Encoder-Decoder CNN with Region-Based Filtering for Vibrant Colorization, in Computer Systems Science and Engineering (Q3, Impact Factor: 1.486), vol. 46, no.1, pp. 1059–1077, January 2023; https://doi.org/10.32604/csse.2023.034809

81. [J] Israt Jahan, K. M. Aslam Uddin, Saydul Murad, M. Saef Ullah Miah, Tanvir Zaman Khan, Mehedi Masud, Sultan Aljahdali, and Anupam Kumar Bairagi, 4D: A Real-Time Driver Drowsiness Detector Using Deep Learning, in Electronics (Q2, Impact Factor: 2.690), vol. 12, no. 1, 235, January 2023; https://www.mdpi.com/2079-9292/12/1/235

2022

80. [C] M. Raihan, Nasif Alvi, and Anupam Kumar Bairagi, Social Behaviour Prediction using Ensemble Learning Algorithms, in 13th International Conference on Computing, Communication and Networking Technologies (ICCCNT 2022), October 3-5, 2022, Kharagpur, India; https://ieeexplore.ieee.org/document/9984251

79. [J] Suliman Abdulmalek, Abdul Nasir, Waheb A. Jabbar, Mukarram A. M. Almuhaya, Anupam Kumar Bairagi, Md. Al-Masrur Khan and Seong-Hoon Kee, IoT-Based Healthcare-Monitoring System towards Improving Quality of Life: A Review, in Healthcare 2022(Q2, Impact Factor: 3.160), 10(10):1993; https://doi.org/10.3390/healthcare10101993

78. [J] A. K. Z Rasel Rahman, S.M Nabil Sakif, Niloy Sikder, Mehedi Masud, Hanan Aljuaid, and Anupam Kumar Bairagi, Unmanned Aerial Vehicle Assisted Forest Fire Detection Using Deep Convolutional Neural Network, in Intelligent Automation & Soft Computing (Q3, Impact Factor: 1.647), vol. 35, no.3, pp. 3259–3277, 2023; https://www.techscience.com/iasc/v35n3/49393

77. [J] Nusrat Jahan Prottasha, Abdullah Sami, MD Kowsher, Saydul Akbar Murad, Anupam Kumar Bairagi, Mehedi Masud, and Mohammed Baz, Transfer Learning for Sentiment Analysis Using BERT Base Supervised Fine Tuning, in Sensors (Q2, Impact Factor: 3.576), vol. 22, no. 11, May 2022; https://doi.org/10.3390/s22114157

76. [J] Apurba Adhikary, Joy Bhuiya, Saydul Akbar Murad, Md. Bipul Hossain, K. M. Aslam Uddin, MD Estihad Faysal, Abidur Rahaman, Anupam Kumar Bairagi, Performance Evaluation of Micro Lens Arrays: Improvement of Light Intensity and Efficiency of White Organic Light Emitting Diodes, in PLOS ONE (Q1, Impact Factor: 3.57), vol. 17, no. 5, pp. 1-28, May 2022; https://doi.org/10.1371/journal.pone.0269134

75. [J] Saydul Akbar Murad, Apurba Adhikary, Abu Jafar Md Muzahid, Md. Murad Hossain Sarker, Md. Ashikur Rahman Khan, Md. Bipul Hossain, Anupam Kumar Bairagi, Mehedi Masud, and Md. Kowsher, AI Powered Asthma Prediction Towards Treatment Formulation: An Android App Approach, in Intelligent Automation & Soft Computing (Q3, Impact Factor: 1.647), vol. 34, no. 1, pp. 87-103, April 2022; https://www.techscience.com/iasc/v34n1/47357

2021

74. [C] Puspendu Biswas Paul, Sujit Biswas, Ali Alqahtani, Anupam Kumar Bairagi, and Mehedi Masud, Data-Driven Decision Making for Smart Cultivation, in 7th IEEE Symposium on Smart Electronic Systems (iSES 2021), December 20-22, 2021, MNIT, Jaipur, India; https://ieeexplore.ieee.org/document/9701148

73. [C] Md. Suman Reza, Sujit Biswas, Abdullah Alghamdi, Mesfer Alrizq, Anupam Kumar Bairagi, and Mehedi Masud, ACC: Blockchain Based Trusted Management of Academic Credentials, in 7th IEEE Symposium on Smart Electronic Systems (iSES 2021), December 20-22, 2021, MNIT, Jaipur, India; https://ieeexplore.ieee.org/document/9700999

72. [C] Md. Al-Masrur Khan, Seong-Hoon Kee, Niloy Sikder, Md. Abdullah-Al Mamun, Fatima Tuz Zohora, Md. Tariq Hasan, Anupam Kumar Bairagi and Abdullah-Al Nahid, A Vision-Based Lane Detection Approach for Autonomous Vehicles Using a Convolutional Neural Network Architecture, in 2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), August 16-20, 2021, Fukuoka, Japan; https://ieeexplore.ieee.org/document/9564229

71. [C] M. Raihan, Anupam Kumar Bairagi, and Shagoto Rahman, A Machine Learning Based Study to Predict Depression with Monitoring Actigraph Watch Data, 12th International Conference on Computing Communication and Networking
Technologies (ICCCNT 2021), July 6-8, 2021,
IIT - Kharagpur, West Bengal, India; https://ieeexplore.ieee.org/document/9579614

70. [J] Mounita Ghosh, Md. Mohsin Sarker Raihan,_,M. Raihan,_,Laboni Akter, Anupam Kumar Bairagi, Sultan S. Alshamrani, and_,Mehedi Masud, A Comparative Analysis of Machine Learning Algorithms to Predict Liver Disease, Intelligent Automation & Soft Computing (Q3, Impact Factor: 1.647), 30(3), 917–928, August 2021; https://www.techscience.com/iasc/v30n3/44090

69. [J] Sujit Biswas, Fan Li, Zohaib Latif, Kashif Sharif, Anupam Kumar Bairagi, and Saraju P. Mohanty, GlobeChain: An Interoperable Blockchain for Global Sharing of Healthcare Data - A COVID-19 Perspective, IEEE Consumer Electronics Magazine (Q1, Impact Factor 4.016), vol. 10, no. 5, pp. 64-69, Sept. 2021; https://ieeexplore.ieee.org/document/9416228

68. [J] Niloy Sikder, Mehedi Masud, Anupam Kumar Bairagi, Abu Shamim Mohammad Arif, Abdullah Nahid, Hesham A. Alhumyani, Severity Classification of Diabetic Retinopathy Using an Ensemble Learning Algorithm through Analyzing Retinal Images, Symmetry 2021 (Q2, Impact Factor: 2.645), vol. 13, no. 4: 670; https://www.mdpi.com/2073-8994/13/4/670

67. [J] Md. Shirajum Munir, Do Hyeon Kim, Anupam Kumar Bairagi, Choong Seon Hong, When CVaR Meets with Bluetooth PAN: A Physical Distancing System for COVID-19 Proactive Safety, IEEE Sensors Journal (Q1, Impact Factor: 3.073), vol. 21, no. 12, pp. 13858-13869, 15 June15, 2021, https://ieeexplore.ieee.org/document/9386066

66. [J] Madyan Alsenwi, Nguyen H. Tran, Mehdi Bennis, Shashi Raj Pandy, Anupam Kumar Bairagi, and Choong Seon Hong, Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach, IEEE Transactions on Wireless Communications (Q1, Impact Factor: 6.779), vol. 20, no. 7, pp. 4585-4600, July 2021; https://ieeexplore.ieee.org/document/9364885

65. [C] MD Reyad Hossain Khan, Abdul Hasib Uddin, Abdullah-Al Nahid, and Anupam Kumar Bairagi, Skin Cancer Detection from Low-Resolution Images using Transfer Learning, in 4th International Conference on Intelligent Sustainable Systems (ICISS 2021), February 26-27, 2021, Tamil Nadu, India.

64. [J] Mehedi Masud, Anupam Kumar Bairagi, Abdullah-Al Nahid, Niloy Sikder, Saeed Rubaiee, Anas Ahmed, and Divya Anand, A Pneumonia Diagnosis Scheme Based on Hybrid Features Extracted from Chest Radiographs Using an Ensemble Learning Algorithm, Journal of Healthcare Engineering (Q2, Impact Factor: 1.803), vol. 2021, 11 pages, 2021; https://doi.org/10.1155/2021/8862089

63. [J] Mehedi Masud, Niloy Sikder, Abdullah-Al Nahid, Anupam Kumar Bairagi, Mohammed A. AlZain, A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework, Sensors (Q2, Impact Factor: 3.275), vol. 21, no. 3, 748; https://doi.org/10.3390/s21030748

62. [J] Md Abdul Awal, Mehedi Masud, Md Shahdat Hossain, Abdullah Al-Mamun Bulbul, S. M. Hasan Mahmud, Anupam Kumar Bairagi, A Novel Bayesian Optimization-based Machine Learning Framework for COVID-19 Detection from Inpatient Facility Data, IEEE Access (Q1, Impact Factor: 3.745), vol. 9, pp. 10263 - 10281, 2021; https://ieeexplore.ieee.org/document/9319642

2020

61. [J] Anupam Kumar Bairagi, Md. Shirajum Munir, Madyan Alsenwi, Nguyen H. Tran, Sultan S Alshamrani, Mehedi Masud, Zhu Han, and Choong Seon Hong, Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks, in IEEE Transactions on Communications (Q1, Impact Factor: 5.646), vol. 69, no. 3, pp. 1736-1749, March 2021, https://ieeexplore.ieee.org/document/9268188

60. [J] Anupam Kumar Bairagi, Mehedi Masud, Do Hyeon Kim, Md Munir, Abdullah Al Nahid, Sarder Fakhrul Abedin, Kazi Masudul Alam, Sujit Biswas, Sultan S Alshamrani, Zhu Han, Choong Seon Hong, Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective, IEEE Access (Q1, Impact Factor: 3.745), vol. 8, pp. 215570-215581, 2020, https://ieeexplore.ieee.org/abstract/document/9272310

59. [C] Sourav Debnath, Suprio Das, Samin Ahmed, Abdullah-Al Nahid, and Anupam Kumar Bairagi, IoT based Low-Cost Gas Leakage, Fire and Temperature Detection System with Call Facilities, in 2nd International Conference on Advanced Information and Communication Technology 2020 (ICAICT 2020), November 28-29, 2020, Dhaka, Bangladesh; https://ieeexplore.ieee.org/document/9333530

58. [J] Abdullah-Al Nahid, Niloy Sikder, Anupam Kumar Bairagi, Md. Abdur Razzaque, Mehedi Masud, Abbas Kouzani, M A Parvez Mahmud, A Novel Method to Identify Pneumonia through Analyzing Chest Radiographs Employing a Multichannel Convolutional Neural Network, Sensors 2020 (Q2, Impact Factor: 3.427), 20(12), 3482; https://doi.org/10.3390/s20123482

2019

57. [C] Md Tajbiul Hasan, Abdullah Al Nahid, Anupam Kumar Bairagi, Simpler Design for Liquid Supply Line Leakage Monitoring, International Conference on Sustainable Technologies for Industry 4.0, December 24-25, 2019, Dhaka, Bangladesh; https://ieeexplore.ieee.org/abstract/document/9068038

56. [J] Madyan Alsenwi, Ibrar Yaqoob, Shashi Raj Pandey, Yan Kyaw Tun, Anupam Kumar Bairagi, Lok-won Kim, Choon Seon Hong, Towards Coexistence of Cellular and WiFi Networks in Unlicensed Spectrum: A Neural Networks Based Approach, IEEE Access (Q1, Impact Factor 3.745), 7(1), 110023-110034, August 2019; https://ieeexplore.ieee.org/abstract/document/8788509

55. [C] Anupam Kumar Bairagi, Md. Shirajum Munir, Madyan Alsenwi, Nguyen H. Tran, and Choong Seon Hong, A Matching Based Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks, The 34th ACM/SIGAPP Symposium on Applied Computing (SAC 2019), April 8-12, 2019, Limassol, Cyprus; https://dl.acm.org/doi/abs/10.1145/3297280.3297513

54. [J] Madyan Alsenwi, Nguyen H Tran, Mehdi Bennis, Anupam Kumar Bairagi, Choong Seon Hong, eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach, IEEE Communications Letters (Q1, Impact Factor 2.723), 23(4), 740 - 743, 2019; https://ieeexplore.ieee.org/abstract/document/8643428

53. [J] Anupam Kumar Bairagi, Nguyen H. Tran, Walid Saad, Zhu Han, and Choong Seon Hong, A Game-Theoretic Approach for Fair Coexistence between LTE-U and Wi-Fi Systems, IEEE Transaction on Vehicular Technology (Q1, Impact Factor 5.339), 68(1), 442-455, 2019; https://ieeexplore.ieee.org/abstract/document/8537958

2018

52. [P] Choong Seon Hong, Anupam Kumar Bairagi, Ki-Tae Kim, Md. Shirajum Munir, System and Method for Coexistence of eMBB and uRLLC in 5G Network, Application No .: 10-2018-0086104, 2018.07.24 (South Korea).

51. [C] Sarder Fakhrul Abedin, Anupam Kumar Bairagi, Md. Shirajum Munir, Choong Seon Hong, A Transport Theoretic Approach for Computational Task Migration in Multi-Access Edge Computing, Korea Software Congress, December 2018; http://networking.khu.ac.kr/gallery/entry/layouts/net/publications/data/KSC2018/KSC2018_Abedin.pdf

50. [C] Anupam Kumar Bairagi, Md. Shirajum Munir, Sarder Fakhrul Abedin, Choong Seon Hong, Utilization of Unlicensed Spectrum in Effective Coexistence of eMBB and uRLLC, Korea Software Congress, December 2018; http://networking.khu.ac.kr/layouts/net/publications/data/KSC2018/KSC2018_Anupam.pdf

49. [J] Ashis Talukder, Anupam Kumar Bairagi, Do Hyeon Kim, and Choong Seon Hong, Reverse Path Activation-based Reverse Influence Maximization in Social Networks, Journal of KIISE, 45(11), 1203-1209, 2018; http://networking.khu.ac.kr/gallery/entry/document_srl/141/page/1/layouts/net/publications/data/1811_KIISE_Journal_Ashis.pdf

48. [J] Anupam Kumar Bairagi, Ashis Talukder, Do Hyeon Kim, and Choong Seon Hong, Coexistence of LTE-U and Wi-Fi System Considering the User's QoE, KIISE Transaction on Computing Practice, 24(11), 575-581, 2018; http://networking.khu.ac.kr/xe/Gallery/entry/document_srl/141/page/layouts/net/publications/data/1811_KIISE_Journal_Anupam.pdf

47. [J] Anupam Kumar Bairagi, Sarder Fakhrul Abedin, Nguyen H. Tran, Dusit Niyato, and Choong Seon Hong, QoE-Enabled Unlicensed Spectrum Sharing in 5G: A Game-Theoretic Approach, IEEE Access (Q1, Impact Factor 3.745), 6, 50538 - 50554, 2018; https://ieeexplore.ieee.org/abstract/document/8456491

46. [C] Shirajum Munir, Sarder Fakrul Abedin, Anupam Kumar Bairagi, Sun Moo Kang, Choong Seon Hong, Temporal Energy Demand Extrapolation for Mobile Edge based on Computational Task in Smart-Grid Framework, Korea Computer Congress, June 2018.

45. [C] Anupam Kumar Bairagi, Nguyen H Tran, Choong Seon Hong, A multi-game approach for effective co-existence in unlicensed spectrum between LTE-U system and Wi-Fi access point, The International Conference on Information Networking (ICOIN 2018), Jan. 10-12, 2018, Chiang Mai, Thailand; https://ieeexplore.ieee.org/abstract/document/8343145

44. [J] Sarder Fakhrul Abedin, Anupam Kumar Bairagi, Md. Shirajum Munir, Nguyen H. Tran, Choong Seon Hong, Fog Load Balancing for Massive Machine Type Communications: A Game and Transport Theoretic Approach, IEEE Access (Q1, Impact Factor 3.745), 7, 4204-4218, 2018; https://ieeexplore.ieee.org/abstract/document/8590702

43. [C] Sarder Fakhrul Abedin, Anupam Kumar Bairagi, Md Shirajum Munir, Choong Seon Hong, A Cooperative Game based Spatial Correlation-aware Resource Allocation for Narrowband Internet of Things, Korea Computer Congress, June 2018.

42. [C] Anupam Kumar Bairagi, Md Shirajum Munir, Sarder Fakhrul Abedin, Choong Seon Hong, Coexistence of eMBB and uRLLC in 5G Wireless Networks, Korea Computer Congress, June 2018; http://networking.khu.ac.kr/gallery/entry/layouts/net/publications/data/KCC2018/26.Anupam.pdf

41. [C] Anupam Kumar Bairagi, Nguyen H Tran, Walid Saad, Choong Seon Hong, Bargaining Game for Effective Coexistence between LTE-U and Wi-Fi Systems, IEEE/IFIF Network Operations and Management Symposium (NOMS 2018), April. 23-27, 2018, Taipei, Taiwan; https://ieeexplore.ieee.org/abstract/document/8406260

2017

40. [C] Md Golam Rabiul Alam, Sarder Fakhrul Abedin, Seung Il Moon, Ashis Talukder, Anupam Kumar Bairagi, Md Shirajum Munir, Saeed Ullah, Choong Seon Hong, Affective Mood Mining Through Deep Recurrent Neural Network, Korea Software Congress, December 2017.

39. [C] Anupam Kumar Bairagi, Choong Seon Hong, Deploying LTE in Unlicensed Spectrum Considering Quality of Experience (QoE), Korea Software Congress, December 2017.

38. [C] Madyan Alsenwi, Anupam Kumar Bairagi, Choong Seon Hong, QoE Based Coexistence Mechanism for LTE in Unlicensed Bands, Korea Software Congress, December 2017.

37. [C] Anupam Kumar Bairagi, Choong Seon Hong, D2D communications under LTE-U system: QoS and co-existence issues are incorporated, The 19th Asia-Pacific Network Operations and Management Symposium(APNOMS 2017), Sep. 27-29, 2017, Seoul, Korea; https://ieeexplore.ieee.org/abstract/document/8094201/

36. [C] Ashis Talukder, Md Golam Rabiul Alam, Anupam Kumar Bairagi, Sarder Fakhrul Abedin, Md Abu Layek, Hoang T Nguyen, Choong Seon Hong, An approach of cost optimized influence maximization in social networks, The 19th Asia-Pacific Network Operations and Management Symposium(APNOMS 2017), Sep. 27-29, 2017, Seoul, Korea; https://ieeexplore.ieee.org/abstract/document/8094146/

35. [C] Anupam Kumar Bairagi, Sarder Fakhrul Abedin, Choong Seon Hong, A Fair Co-existence Mechanism for LTE-U and Wi-Fi Network, Korea Computer Congress, June 2017.

34. [C] Anupam Kumar Bairagi, Nguyen H Tran, Choong Seon Hong, LTE-U sum-rate maximization considering QoS and co-existence issue, IEEE International Conference on Big Data and Smart Computing (BigComp 2017), Feb. 13-16, 2017, Jeju, Korea; https://ieeexplore.ieee.org/abstract/document/7881692

33. [J] Anupam Kumar Bairagi, Saikat Mondal, Debashish Chakroborti, Securing Bangla Text Communication Using Image Steganography with Dynamic Substitution in IoT Environment, Khulna University studies, 14(1 and 2), 95-106, 2017.

2016

32. [C] Ashis Talukder, Md Golam Rabiul Alam, Anupam Kumar Bairagi, Sarder Fakrul Abedin, Hoang T Nguyen, Choong Seon Hong, Threshold estimation models for influence maximization in social network, Korean Institute of Information Scientists and Engineers, December 2016.

31. [C] Md Golam Rabiul Alam, Sarder Fakhrul Abedin, Seung Il Moon, Seon Hyeok Kim, Ashis Talukder, Anupam Kumar Bairagi, Choong Seon Hong, Deep Learning based emotion recognition through biosensor observations, Korean Institute of Information Scientists and Engineers, December 2016.

30. [C] Anupam Kumar Bairagi, Choong Seon Hong, D2D with LTE-U under unlicensed spectrum considering coexistence issue with WAP, Korean Institute of Information Scientists and Engineers, December 2016.

29. [J] Anupam Kumar Bairagi, Rahamatullah Khondoker, Rafiqul Islam, An efficient steganographic approach for protecting communication in the Internet of Things (IoT) critical infrastructures, Information Security Journal: A Global Perspective (Q3), 25(4-6), 197-212, 2016; https://www.tandfonline.com/doi/abs/10.1080/19393555.2016.1206640

28. [W] Ashis Talukder, Md Golam Rabiul Alam, Anupam Kumar Bairagi, Sarder Fakrul Abedin, Hoang T Nguyen, Choong Seon Hong, The GRIM: Target Marketing in Social Network, The International Symposium on Perception, Action, and Cognitive Systems (PACS 2016), Oct. 27-28, 2016, Seoul, Korea.

27. [W] Sarder Fakhrul Abedin, Md Golam Rabiul Alam, Anupam Kumar Bairagi, Ashis Talukder, Choong Seon Hong, UAV-assisted Intelligent Crowdsourcing in Natural Calamity, The International Symposium on Perception, Action, and Cognitive Systems (PACS 2016), Oct. 27-28, 2016, Seoul, Korea.

26. [C] Anupam Kumar Bairagi, Nguyen H Tran, Namho Kim, Choong Seon Hong, QoS aware collaborative communications with incentives in the downlink of cellular network: A matching approach, The 18th Asia-Pacific Network Operations and Management Symposium(APNOMS 2016), Oct. 5-7, 2016, Kanazawa, Japan; https://ieeexplore.ieee.org/abstract/document/7737196

25. [C] Md Golam Rabiul Alam, Sarder Fakhrul Abedin, Anupam Kumar Bairagi, Ashis Talukder, Choong Seon Hong, An autonomic SLA management for IoT networks, Korea Computer Congress, June 2016.

24. [C] Sarder Fakhrul Abedin, Md Golam Rabiul Alam, Anupam Kumar Bairagi, Ashis Talukder, Choong Seon Hong, An Indoor Navigation Service for Visually Impaired People, Korea Computer Congress, June 2016.

23. [C] Ashis Talukder, Sarder Fakhrul Abedin, Anupam Kumar Bairagi, Md Golam Rabiul Alam, SeonHyeok Kim, Sungwon Lee, Choong Seon Hong, Process migration using docker container in SDN environment, Korea Computer Congress, June 2016.

22. [C] Anupam Kumar Bairagi, Sarder FakhrulAbedin, Choong Seon Hong, Cooperative Communication for Content Distribution in Downlink Cellular Network, Korea Computer Congress, June 2016.

21. [C] Anupam Kumar Bairagi, Md. Golam Rabiul Alam, Ashis Talukder,Tran Hoang Nguyen, Da Eun Lee, Choong Seon Hong, An Overlapping Coalition Formation Approach to Maximize Payoffs in Cloud Computing Environment, The International Conference on Information Networking(ICOIN 2016), Jan 13-15, 2016, Kota Kinabalu, Malaysia; https://ieeexplore.ieee.org/abstract/document/7427124

20. [W] Anupam Kumar Bairagi, Nguyen H Tran, Choong Seon Hong, Maximizing Sum-Rate of LTE Users Considering QoS and Co-existence Issue in Unlicensed Band, The International Symposium on Perception, Action, and Cognitive Systems (PACS 2016), Oct. 27-28, 2016, Seoul, Korea.

2015

19. [C] Anupam Kumar Bairagi, Debasish Chakroborti, Trust based D2D communications for accessing services in Internet of Things, 18th International Conference on Computer and Information Technology (ICCIT), 2015, Dhaka, Bangladesh; https://ieeexplore.ieee.org/abstract/document/7488041

18. [C] Ashis Talukder, Anupam Kumar Bairagi, VanDung Nguyen, Choong Seon Hong, Running Time Improvement of Influence Maximization in Social Network Using Graph Reducing Technique (GRT), Korean Institute of Information Scientists and Engineers, December 2015.

17. [C] Anupam Kumar Bairagi, Md Golam Robiul Alam, Tri Nguyen Dang, Choong Seon Hong, Profit Maximization in Cloud, Korean Institute of Information Scientists and Engineers, December 2015.

16. [C] Md Golam Rabiul Alam, Sung Soo Kim, Sarder Fakhrul Abedin, Anupam Kumar Bairagi, Ashis Talukder, Choong Seon Hong, Prediction of Psychiatric Mental States for Emergency Telepsychiatry, Korea Computer Congress, June 2015.

15. [C] Sarder Fakhrul Abedin, Md Golam Rabiul Alam, Nguyen H Tran, Anupam Kumar Bairagi, Ashis Talukder, Choong Seon Hong, An Utility based Peering Strategy for P2P IoT Network, Korea Computer Congress, June 2015.

14. [C] Anupam Kumar Bairagi, Md Golam Robiul Alam, Sarder Fakhrul Abedin, Ashis Talukder, Choong Seon Hong, An Efficient Approach for Protecting Personal Information in IoT, Korea Computer Congress, June 2015.

13. [C] Ashis Talukder, Rossi Kamal, Anupam Kumar Bairagi, Md Golam Rabiul Alam, Sarder Fakhrul Abedin, Md Abu Layek, Nguyen H Tran, Choong Seon Hong, Rumors in the Social Network, Korea Computer Congress, June 2015.

2014

12. [C] SA Ahsan Rajon, Anupam Kumar Bairagi, Md Mahbubur Rahman, ICT based market information system: an effective approach for market price monitoring and supervision in developing countries, 17th International Conference on Computer and Information Technology (ICCIT), December 2014, Dhaka, Bangladesh; https://ieeexplore.ieee.org/abstract/document/7073136

11. [C] Md Golam Rabiul Alam, Nguyen Hoang Tran, Cuong T Do, Chuan Pham, Sarder Fakhrul Abedin, Anupam Kumar Bairagi, Rim Haw, Choong Seon Hong, Distributed Reinforcement Learning based Code Offloading in Mobile Fog, Korean Institute of Information Scientists and Engineers, December 2014.

10. [C] Anupam Kumar Bairagi, Md Golam Robiul Alam, Choong Seon Hong, Secure Transmission of Bio-sensor Images for Ubiquitous Healthcare, Korean Institute of Information Scientists and Engineers, December 2014.

9. [C] Anupam Kumar Bairagi, Saikat Mondal, Rameswar Debnath, A robust RGB channel based image steganography technique using a secret key, 16th International Conference on Computer and Information Technology (ICCIT), March 2014, Khulna, Bangladesh; https://ieeexplore.ieee.org/abstract/document/6997309

2013

8. [C] Anupam Kumar Bairagi, Tarek Aman Banna, Sumon Das and Gobinda Sadhu, A Dynamic Approach in Substitution Based Image Steganography with a secret key, Proceedings of International Conference on Informatics, Electronics & Vision (ICIEV13), 17-18 May 2013, Dhaka, Bangladesh.

2012

7. [C] Anupam Kumar Bairagi, Saikat Mondal and Amit Kumar Mondal, A Dynamic Approach in Substitution Based Audio Steganography, Proceedings of International Conference on Informatics, Electronics & Vision (ICIEV12), 18-19 May 2012, Dhaka, Bangladesh; https://ieeexplore.ieee.org/abstract/document/6317428

2011

6. [J] Ashim Kumar Ghose, Anupam Kumar Bairagi, Dr. M. Abul Kashem, Md. Rezwan-ul-Islam, A J M Asraf Uddin, Energy Efficient Zone Division Multihop Hierarchical Clustering Algorithm for Load Balancing in Wireless Sensor Network, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 2, No. 12, December 2011; http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.220.2554&rep=rep1&type=pdf#page=104

5. [J] Anupam Kumar Bairagi, S.H. Ahsan Rajon and Tuhin Roy, Status and Role of Educational institutions to build digital society in Bangladesh: in Perspective of Khulna, a divisional city, International Journal of Advances in Engineering & Technology (IJAET), 1(4), September 2011;

4. [J] Anupam Kumar Bairagi, Utilization of E-Commerce can change the Auction culture of Bangladesh specially in Public Sector, International Journal of Computer and Information Technology (IJCIT), 2(1), 2011; http://ijcit.org/ijcit_papers/vol2no1/IJCIT-110743.pdf

3. [J] Anupam Kumar Bairagi, Tuhin Roy and Afroza Polin, Socio-Economic Impacts of Mobile Phone in Rural Bangladesh: A case Study in Batiaghata Thana, Khulna District, International Journal of Computer and Information Technology (IJCIT), 2(1), 2011.

2. [J] Anupam Kumar Bairagi and Abdullah-Al-Nahid, A New Approach of E-Banking Through the Use of Mobile, Post-Office and VPN in the Perspective of Bangladesh, International Journal of Computer and Information Technology (IJCIT), 2(1), 2011; http://ijcit.org/ijcit_papers/vol2no1/IJCIT-110737.pdf

1. [J] Anupam Kumar Bairagi, ASCII Based Even-Odd Cryptography with gray code and image steganography: A dimension in data security, International Journal of Computer and Information Technology (IJCIT), 1(2), January 2011; http://www.uap-bd.edu/jcit_papers/vol-1_no-2/IJCIT-110112.pdf

Digital Logic Design This course is for B.Sc. Engg. (CSE) students.

Network Optimization This course is for MSc. Engg. (CSE) students. Running

Computer Application for Business Studies This course is for BBA students.

Algorithm This course is for B.Sc. Engg. (CSE) students.

Wireless and Mobile Communication Networks This course is for MSc. Engg. (CSE) students.

Computer Programming This course is for fundamental of programming.

Algorithms Undergraduate Course for CSE students Running

Advanced Probability and Statistics This course is for MSc. Engg. students

Computer Security This course is for undergraduate students

Digital Logic Design

Network Optimization

Computer Application for Business Studies

Algorithm

Wireless and Mobile Communication Networks

Computer Programming

Algorithms

Advanced Probability and Statistics

Computer Security

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Current Research Project/Collaboration

Supervision

Digital Logic Design

Network Optimization

Computer Application for Business Studies

Algorithm

Wireless and Mobile Communication Networks

Computer Programming

Algorithms

Advanced Probability and Statistics

Computer Security