Dr. Anupam Kumar Bairagi
Professor



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

  • Editor, Khulna University Studies
  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
  • TPC Member, 4th International Conference on Sustainable Expert Systems (ICSES 2024), Pokhara University, Nepalhttps://icoses.com/
  • TPC MemberInternational Conference on Embracing Industry 4.0 for Sustainable Business Growth (EISBG 2024), NSTU, Noakhali, Bangladeshhttps://fbs-nstu.org/confeisbg/

  • TPC Member, 10th International Conference on Networking, Systems and Security (NSysS 2023), BUET, Dhaka, Bangladeshhttps://cse.buet.ac.bd/nsyss2023/
  • TPC Member5th International Conference on Emerging Networks Technologies(ICENT 2023), Okinawa, Japanhttp://www.icent.org/index.html
  • TPC Member5thInternational Conference on Sustainable Technologies for Industry 5.0 (STI 2023), Green University, Dhaka, Bangladeshhttps://sti.green.edu.bd/
  • TPC Member, International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM 2023), Gazipur, Bangladesh, https://confncim.com/
  • TPC MemberInternational 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 EditorSpecial 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 MemberInternational Conference on STEM and the Fourth Industrial Revolution 2022 (ICSTEM4IR 2022), SET School, Khulna University, Bangladesh, https://conference.ku.ac.bd/icstem4ir/
  • TPC MemberInternational 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
  • 2023           Vice-Chancellor's Award, Research & Academic Excellence      Khulna University, Bangladesh

Supervision

SL Title Degree Role Start Date End Date
1 Task Offloading in Edge Computing Framework: A Transportation Theoretic Approach Bachelor Supervisor 1st January, 2019 31st December, 2019
2 A Dynamic Image Crystography for RGB Image with Secret Key Bachelor Supervisor 1st January, 2019 31st December, 2019
3 Smart Grid Demand Prediction Using Appliance Load For Maximum Electricity Optimization: A Disaggregated Architecture Bachelor Supervisor 1st January, 2021 31st December, 2021
4 UAV Assisted Forest Fire Detection Using Deep Convolutional Neutral Network Bachelor Supervisor 1st January, 2021 31st December, 2021
5 Vehicle Counting and Classification Based on Incremental Principle Component Pursuit Algorithm Bachelor Supervisor 1st January, 2020 31st December, 2020
6 IoT Enabled Smart Mushroom Farming with Deep Learning Based Mushroom Classifier Bachelor Supervisor 1st January, 2022 31st December, 2022
7 Recognition of Sunflower Diseases using Hybrid Deep Learning and Its Explainability with AI Masters Supervisor 1st July, 2022 June 30, 2023
8 A Hybrid Model for Recognizing Human Activity Using Extreme Learning Masters Supervisor 1st July, 2022 31st December, 2023
9 Smart Monitoring and Controlling System for Sustainable Hydroponics Cultivation Bachelor Supervisor 1st January, 2023 31st December, 2023

No Data Available

coming soon...

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


2024

  • 142 [C]  Fatematuzzohar, Sujit Biswas, Anupam Kumar Bairagi, and Kashif SharifNature-based Bengali Picture Captioning using Global Attention with GRU,  Submitted


  • 141. [JR. 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 Algoritm,  Submitted


  • 140. [JShakuntla 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


  • 139. [JMd 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,    Submitted


  • 138. [JShaily 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


  • 137. [JSakhshra 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


  • 136. [JManinderjeet Singh, Nitin Kumar SalujaChander PrabhaAnupam Kumar Bairagi, Md. Mehedi Hassan Utilizing Rice Straw Waste for High Energy Density Biochar Production through Vacuum-Assisted Microwave Pyrolysis,    Submitted


  • 135. [JMd. Mehedi HassanMahade HasanFarhana YasminYu XueS VimalAnupam    Kumar BairagiNaglaa F. SolimanAbeer D. Algarni Enhancing Stroke Disease Classification  through Machine Learning Models via a Novel Voting System by Feature Selection Techniques,    Submitted


  • 134. [JHimanshu 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


  • 133. [JSakhshra 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,  Submitted

  • 132. [JTamanna 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


  • 131. [JHirak 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


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


  • 129. [JAnindya 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,  Submitted


  • 128. [JAnurag 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,  Submitted


  • 127. [JAvi Deb Raha, Fatema Jannat Dihan, Mrittunjoy Gain, Saydul Akbar Murad, Apurba Adhikary, Md. Bipul Hossain, Nick Rahimi, Anupam Kumar BairagiModeling and Predictive Analytics of Breast Cancer Using Ensemble Learning Techniques: An Explainable Artificial Intelligence Approach,  Submitted


  • 126. [JNusrat 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. SolimanDeadline-constraint Priority Scheduling Strategy in Cloud Computing Environments,   Submitted


  • 125. [JMeer Muttakin Alam, Sumaiya Jannati, Anupam Kumar Bairagi and Atanu Shome, Monitoring Human Behaviour during Pandemic - Attacks on Healthcare Personnel Scenario,  Submitted


  • 124. [CFatema Jannat Dihan, Saydul Akbar Murad, Abu Jafar Md Muzahid, K. M. Aslam Uddin, Anupam Kumar Bairagi, Sujit BiswasMpoxSLDNet: A Novel CNN Model for Detecting Monkeypox Lesions and Performance Comparison with Pre-trained Models,   Submitted

  

  • 123. [CMd. Mehedi Hassan, Htet Wai Aung, Ei Phyu Moe, Kyaw Kyaw Oo, Si Thu Aung, Sayeda Mayesha Yousuf, Anupam Kumar BairagiImprovement of Acute Lymphoblastic Leukemia Classification by using Convolutional Neural Network with Squeeze and Excitation Method,   Submitted


  • 122. [JNusrat 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


  • 121. [JIsrat Jahan, K. M. Aslam Uddin, Md. Mahbubul Alam, Sarna Majumder, Saydul Akbar Murad, M.Saef Ullah Miah, Md. Murad Hossain Sarker and Anupam Kumar BairagiHexaPoxNet: Advanced Deep Learning Strategies for Identifying and Categorizing Monkeypox Lesions in Human Patients,  Submitted


  • 120. [JDivya 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


  • 119. [JM. Kowsher, Abdullah Sami, Nusrat Jahan Prottasha, Md. Mehedi Hassan, Naglaa F. Soliman, Walid El-Shafai, and Anupam Kumar BairagiSynthetic Evaluation of Fairness in Transformer Models with Multiple Sequential Masks: Insights from Multi-Kernel Methods,  Submitted


  • 118. [JLamima 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


  • 117. [JMoupriya Das, Anindya Nag, Md. Mehedi Hassan, Arkya Santra, Nisarga Chand, Anupam Kumar Bairagi, Chetna Kaushal, Walid El-Shafai, Rajkumar Singh Rathore, Deepak Gupta, Synergy of 6G Technology and IoT Networks for Transformative Applications,  Submitted


  • 116. [JHadia 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


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


  • 114. [JMd. Nazmul Abdal, Md. Azizul Haque, Md. Nasim Adnan, Md. Shirajum Munir, Md. Abdur Razzaque, Sujit Biswas, and Anupam Kumar BairagiIoT Based Smart Mushroom Farming along with its Classification using Deep Learning,   Submitted


  • 113. [JMd. 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


  • 112. [JNiloy Sikder, Md. Al-Masrur Khan, Anupam Kumar Bairagi, Mehedi Masud, and Abdullah-Al Nahid, Heterogeneous Virus Classification using a Functional Deep Learning Model based on Transmission Electron Microscopy Images,  Submitted


  • 111. [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


  • 110. [C] Md. Mahadi Hasan Rakib, M. Raihan, Md. Mehedi Hassan, and Anupam Kumar BairagiBSER: 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.


  • 109. [CMrityunjoy 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.


  • 108. [JMd. Mehedi Hassan, Rezuana Haque, Sheikh Mohammed Shariful Islam, Hossam Meshref, Roobaea Alroobaea, Mehedi Masud, Anupam Kumar BairagiNeuroWave-Net: Enhancing epileptic seizure detection from EEG brain signals via advanced convolutional and long short-term memory networks,  in AIMS Bioengineering (Q2Impact Factor: 2.30), vol. 11, no. 1, pp. 85-109, April 2024; https://www.aimspress.com/article/doi/10.3934/bioeng.2024006 


  • 107. [JAvi 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. [JSajib Chatterjee, Rameswar Debnath, Sujit Biswas, and Anupam Kumar BairagiPrediction 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. [BCAnindya Nag, Hirok Mondal, Md. Mehedi Hassan and Anupam Kumar BairagiThe Integration of Federated Deep Learning with Internet of Things in Healthcare,  in BookFederated Deep Learning for Healthcare: A Practical Guide with Challenges and Opportunities, CRC Press, Taylor & Francis Group, LLC, January 2024


  • 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 (Q1Impact Factor: 3.90), vol. 11, pp. 146003-146013, December 2023; https://ieeexplore.ieee.org/abstract/document/10365149



  • 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 BairagiSamah Alshathri and Walid El-Shafai, Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness,  in IEEE Access (Q1Impact Factor: 3.90), vol. 11, pp. 132196 - 132222, November 2023; https://ieeexplore.ieee.org/document/10320349


  • 98. [BCAnindya Nag, Biva Das, Riya Sil and Anupam Kumar BairagiApplication of artificial intelligence in the diagnosis and treatment of cancer: A Comprehensive Review,  in BookInternet of Things and Big Data Analytics Based Manufacturing, Taylor & Francis Group, LLC, October 2023


  • 97. [JAnjan Debnath, Md. Mahedi Hasan, M. Raihan, Nadim Samrat, Mashael M. Alsulami, Mehedi Masud, and Anupam Kumar BairagiA 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. [JK. M. Aslam Uddin, Farida Siddiqi Prity, Maisha Tasnim, Sumiya Nur Jannat, Mohammad Omar Faruk, Jahirul Islam, Saydul Akbar Murad, Apurba Adhikary and Anupam Kumar BairagiMachine 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. [BCAnindya NagBiva DasAyontika Das, Moupriya Das  and Anupam Kumar Bairagi,  Machine Learning Feature Selection Method for Anatomic Brain MRI in Dementia: A Comparative StudyIn book: Artificial Intelligence based 
  • Solutions for Industrial Applications
  • Taylor & Francis Group, LLC, September 2023.



  • 93. [JPallab 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. [CM. 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. [JSaydul 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. [JFarhana 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. [JFarhana 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 2023https://doi.org/10.1007/s44230-023-00039-x


  • 88. [JMd. 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 2023https://link.springer.com/article/10.1007/s44230-023-00027-1


  • 87. [JPromila 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 BairagiA 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 BairagiImpact 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. [JMd. 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. [JSujit Biswas, Zigang Yao, Lin Yan, Abdulmajeed Alqhatani, Anupam Kumar Bairagi, Fatima Asiri, Mehedi MasudInteroperability Benefits and Challenges in Smart City Services: Blockchain As a Solutionin electronics (Q2Impact Factor: 2.690),  vol. 12, no.4, pp. 1-13, February 2023https://doi.org/10.3390/electronics12041036



  • 81. [JIsrat Jahan, K. M. Aslam Uddin, Saydul Murad, M. Saef Ullah Miah, Tanvir Zaman Khan, Mehedi Masud, Sultan Aljahdali, and Anupam Kumar Bairagi4D: A Real-Time Driver Drowsiness Detector Using Deep Learning, in Electronics (Q2Impact Factor: 2.690), vol. 12, no. 1, 235, January 2023https://www.mdpi.com/2079-9292/12/1/235 


2022

  • 80. [CM. 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 BairagiMd. Al-Masrur Khan and Seong-Hoon Kee, IoT-Based Healthcare-Monitoring System towards Improving Quality of Life: A Review,    in Healthcare  2022(Q2Impact Factor: 3.160), 10(10):1993https://doi.org/10.3390/healthcare10101993 


  • 78. [JA. K. Z Rasel Rahman, S.M Nabil Sakif, Niloy Sikder, Mehedi Masud, Hanan Aljuaid, and Anupam Kumar BairagiUnmanned Aerial Vehicle Assisted Forest Fire Detection Using Deep Convolutional Neural Network,    in Intelligent Automation & Soft Computing (Q3Impact Factor: 1.647), vol. 35, no.3, pp. 3259–3277, 2023; https://www.techscience.com/iasc/v35n3/49393


  • 77. [JNusrat 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 (Q2Impact Factor: 3.576), vol. 22, no. 11, May 2022; https://doi.org/10.3390/s22114157


  • 76. [JApurba Adhikary, Joy Bhuiya, Saydul Akbar Murad, Md. Bipul Hossain, K. M. Aslam Uddin, MD Estihad Faysal, Abidur Rahaman, Anupam Kumar BairagiPerformance Evaluation of Micro Lens Arrays: Improvement of Light Intensity and Efficiency of White Organic Light Emitting Diodes, in PLOS ONE (Q1Impact 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 (Q3Impact 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 NahidA 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 Data12th 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 MasudA Comparative Analysis of Machine Learning Algorithms to Predict Liver DiseaseIntelligent Automation & Soft Computing (Q3Impact 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. MohantyGlobeChain: An Interoperable Blockchain for Global Sharing of Healthcare Data - A COVID-19 PerspectiveIEEE 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 ImagesSymmetry 2021 (Q2Impact 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 (Q1Impact 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 (Q1Impact 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 AnandA Pneumonia Diagnosis Scheme Based on Hybrid Features Extracted from Chest Radiographs Using an Ensemble Learning AlgorithmJournal of Healthcare Engineering (Q2Impact 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 DataIEEE Access (Q1Impact 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 (Q1Impact 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 (Q1Impact 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 BairagiIoT 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 NetworkSensors 2020 (Q2Impact Factor: 3.427)20(12), 3482https://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 (Q1Impact 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 ApproachIEEE Communications Letters (Q1Impact 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 (Q1Impact 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).






    • 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 ApproachIEEE Access (Q1Impact 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 ApproachIEEE Access (Q1Impact 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.



    • 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 NetworkKorea 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 BandsKorea 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 infrastructuresInformation 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. [CAnupam 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


    • 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; 



    • 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


    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