Faculty Profile

Farid, Dewan Md., Phd

ProfessorEmail : dewanfarid@cse.uiu.ac.bd

Prof. Dr. Dewan Md. Farid currently working as a Professor in the Department of Computer Science and Engineering, United International University, Bangladesh. He is an IEEE Senior Member. Prof. Farid worked as a Postdoctoral Fellow/Staff at the following research labs/groups: (1) Computational Intelligence Group (CIG), Department of Computer Science and Digital Technology, University of Northumbria at Newcastle, UK in 2013, (2) Computational Modelling Lab (CoMo) and Artificial Intelligence Research Group, Department of Computer Science, Vrije Universiteit Brussel, Belgium in 2015-2016, and (3) Decision and Information Systems for Production systems (DISP) Laboratory, IUT Lumi`ere – Universit ́e Lyon 2, France in 2020. Prof. Farid was a Visiting Faculty at the Faculty of Engineering, University of Porto, Portugal in June 2016. He holds a PhD in Computer Science and Engineering from Jahangirnagar University, Bangladesh in 2012. Part of his PhD research has been done at ERIC Laboratory, University Lumi`ere Lyon 2, France by Erasmus-Mundus ECW eLink PhD Exchange Program. He has published 94 peer-reviewed scientific articles, including 29 journal papers in the field of Machine Learning, Data Mining and Big Data. Prof. Farid received the following awards: (1) JuliaCon 2019 Travel Award for attending Julia Conference at the University of Maryland, Baltimore, USA, and (2) United Group Research Award 2016 in the field of Science and Engineering. He received a2i Innova- tion Fund of Innov-A-Thon 2018 (Ideabank ID No.: 12502) from a2i-Access to Information Program – II, Information and Communication Technology (ICT) Division, Government of the People’s Republic of Bangladesh. Prof. Farid received the following Erasmus Mundus scholarships: (1) LEADERS (Leading mobility between Europe and Asia in Developing Engineering Education and Research) to undertake a staff level mobility at the Faculty of Engineering, University of Porto, Portugal in 2015, (2) cLink (Centre of excellence for Learning, Innovation, Networking and Knowledge) for pursuing Postdoc at University of Northumbria at Newcastle, UK in 2013, and (3) eLink (east west Link for Innovation, Networking and Knowledge exchange) for pursuing Ph.D. at University Lumi`ere Lyon 2, France in 2009. Prof. Farid also received Senior Fellowship I and II awards by National Science & Information and Communication Technology (NSICT), Ministry of Science & Information and Communication Technology, Government of the People’s Republic of Bangladesh respectively in 2008 and 2011 for pursuing Ph.D. at Jahangirnagar University.

  1. Year Award
    2022 Best Scientist in United International University by AD Scientific Index 2022

    (https://www.adscientificindex.com).

    2021 Best Scientist in United International University by AD Scientific Index 2021

    (https://www.adscientificindex.com).

    2021 Research project funding (Project Code: UIU/IAR/01/2021/SE/23) received from Institute for Advanced Research (IAR), United International University. Grant: BDT990,000.00 and duration: 24 months.
    2019 JuliaCon Travel Award for attending Julia Conference 2019 at the University ofMaryland, Baltimore, MD, USA.
    2019 a2i Innovation Fund of Innov-A-Thon 2018 (Ideabank ID No.: 12502) from a2i-Access to Information Program – II, Information & Communication TechnologyDivision, Government of the People’s Republic of Bangladesh. Grant: BDT2,416,550.00.
    2016 United Group Research Award in the field of Science and Engineering.
    2015 Erasmus Mundus LEADERS (Leading mobility between Europe and Asia inDeveloping Engineering Education and Research) to undertake a staff level mobilityat the Faculty of Engineering, University of Porto, Portugal.
    2013 Erasmus Mundus cLink (Centre of excellence for Learning, Innovation, Networking and Knowledge) for pursuing postdoctoral research at the Computational IntelligenceGroup (CIG), Department of Computer Science and Digital Technology, University ofNorthumbria at Newcastle, UK.
    2011 Senior Fellowship II awarded by National Science & Information andCommunication Technology (NSICT), Ministry of Science & Information andCommunication Technology, Government of Bangladesh for pursuing Ph.D. researchat Jahangirnagar University, Bangladesh.
    2009 Erasmus Mundus eLink (east west Link for Innovation, Networking and Knowledgeexchange) for pursuing Ph.D. research at ERIC laboratory, University Lumi`ere Lyon 2,France.
    2008 Senior Fellowship I awarded by National Science & Information and CommunicationTechnology (NSICT), Ministry of Science & Information and CommunicationTechnology, Government of Bangladesh for pursuing Ph.D. research at Jahangirnagar University, Bangladesh.

  • Professor, Dept. of Computer Science & Engineering – November 02, 2021 – present. United International University, Bangladesh.
  • Associate Professor, Dept. of Computer Science & Engineering – January 30, 2017 – November 01, 2021. United International University, Bangladesh.
  • Postdoctoral Fellow, Decision and Information Systems for Production systems (DISP) Laboratory – November 15, 2019 – November 15, 2020. IUT Lumière – Université Lyon 2, France.
  • Assistant Professor, Dept. of Computer Science & Engineering – September 26, 2012 – January 29, 2017. United International University, Bangladesh.
  • Postdoctoral Fellow, Computational Modeling Lab (CoMo) – May 22, 2015 – September 30, 2016. Department of Computer Science, Vrije Universiteit Brussel, Belgium.
  • Visiting Faculty, Faculty of Engineering – June 1, 2016 – June 30, 2016. University of Porto, Portugal.
  • Coordinator (In-charge), Institute of Natural Sciences – July 1, 2014 – February 28, 2015. United International University, Bangladesh.
  • Postdoctoral Fellow, Computational Intelligence Group (CIG) – January 29, 2013 – November 27, 2013. Department of Computer Science & Digital Technology, University of Northumbria at Newcastle, UK.

Post Doc, Decision and Information Systems for Production systems (DISP) Laboratory, IUT Lumière – Université Lyon 2, France in 2020.

Post Doc, Department of Computer Science, Vrije Universiteit Brussel, Belgium in 2015-2016.

Post Doc, Department of Computer Science and Digital Technology, University of Northumbria at Newcastle, UK in 2013.

PhD in Computer Science & Engineering, Jahangirnagar University, Bangladesh in September 2012. Part of this Ph.D. has been done at ERIC Laboratory, University Lumière Lyon 2, France by Erasmus-Mundus ECW eLink Ph.D. Exchange Program.

Journal Articles:

J-29 Md. Ochiuddin Miah, Rafsanjani Muhammod, Khondaker Abdullah Al Mamun, Dewan Md Farid, Shiu Kumar, Alok Sharma, and Abdollah Dehzangi. CluSem: Accurate clustering-based ensemblemethod to predict motor imagery tasks from multi-channel eeg data. Journal of Neuroscience Methods, 364:109373, December 2021
J-28 Farshid Rayhan, Sajid Ahmed, Zaynab Mousavian, Dewan Md Farid, and Swakkhar Shatabda.FRnet-DTI: Deep convolutional neural network for drug-target interaction pre­diction. Heliyon, 6(3):e03444, 2020
J-27 Rafsanjani Muhammod, Sajid Ahmed, Dewan Md Farid, Swakkhar Shatabda, Alok Sharma, andAbdollah Dehzangi. PyFeat: a python-based effective feature generation tool for DNA, RNA and protein sequences. Bioinformatics, 35(19):3831–3833, 2019
J-26 Farshid Rayhan, Sajid Ahmed, Dewan Md Farid, Abdollah Dehzangi, and Swakkhar Shatabda.CFSBoost: Cumulative feature subspace boosting for drug-target interaction prediction. Journal of Theoretical Biology, 464:1–8, March 2019
J-25 Sheikh Adilina, Dewan Md Farid, and Swakkhar Shatabda. Effective DNA binding protein prediction by using key features via Chou’s general PseAAC. Journal of Theoretical Biology, 460:64–78, January 2019
J-24 Md Rafsan Jani, Md Toha Khan Mozlish, Sajid Ahmed, Niger Sultana Tahniat, Dewan Md Farid,and Swakkhar Shatabda. iRecSpot-EF: Effective sequence based features for recombi­nation hotspot prediction. Computers in Biology and Medicine, 103:17–23, December 2018
J-23 Md Mofijul Islam, Sanjay Saha, Md Mahmudur Rahman, Swakkhar Shatabda, Dewan Md Farid, and Abdollah Dehzangi. iProtGly-SS: Identifying protein glycation sites using se­quence and structure based features. Proteins: Structure, Function, and Bioinformatics, 86(7):777–789, April 2018
J-22 Md Raihan Uddin, Alok Sharma, Dewan Md Farid, Md Mahmudur Rahman, Abdollah De­hzangi,and Swakkhar Shatabda. EvoStruct-Sub: An accurate gram-positive protein subcel-lular localization predictor using evolutionary and structural features. Journal of Theoretical Biology, 443:138–146, April 2018
J-21 Mohammad A Al-Mamun, Worawut Srisukkham, Dewan Md Farid, Lorna Ravenhill, LiZhang, Alamgir Hossain, and Rosemary Bass. A quantitative image analysis for the cellu­lar cytoskeleton during in vitro tumor growth. Expert Systems with Applications, 92:39–51, February 2018
J-20 Farshid Rayhan, Sajid Ahmed, Swakkhar Shatabda, Dewan Md Farid, Zayneb Mousavian, Abdollah Dehzangi, and M Sohel Rhaman. iDTI-ESBoost: Identification of drug target inter­actionusing evolutionary and structural features with boosting. Scientific Reports, 7(1):1–18, December 2017
J-19 Dewan Md Farid, Mohammad Abdullah Al-Mamun, Bernard Manderick, and Ann Now´e. An adaptive rule-based classifier for mining big biological data. Expert Systems with Appli­cations, 64:305–316, December 2016
J-18 Mohammad Abdullah Al-Mamun, Dewan Md Farid, Lorna Ravenhill, M Alamgir Hossain, Charles Fall, and Rosemary Bass. An in silico model to demonstrate the effects of Maspin on cancer cell dynamics. Journal of Theoretical Biology, 388:37–49, January 2016
J-17 Dewan Md Farid, Li Zhang, Chowdhury Mofizur Rahman, M A Hossain, and Rebecca Stra­chan.Hybrid decision tree and na¨ıve bayes classifiers for multi-class classification tasks. Expert Systems with Applications, 41(4):1937–1946, March 2014
J-16 Dewan Md Farid, Li Zhang, Alamgir Hossain, Chowdhury Mofizur Rahman, Rebecca Stra­chan,Graham Sexton, and Keshav Dahal. An adaptive ensemble classifier for mining concept drifting datastreams. Expert Systems with Applications, 40(15):5895–5906, November 2013
J-15 Li Zhang, Ming Jiang, Dewan Md Farid, and M A Hossain. Intelligent facial emotion recog­nition and semantic-based topic detection for a humanoid robot. Expert Systems with Ap­plications, 40(13):5160–5168, October 2013
J-14 Md Yasir Arafat, Sabera Hoque, Shuxiang Xu, and Dewan Md Farid. Machine learning for mining imbalanced data. IAENG International Journal of Computer Science, 46(2):332–348, May 2019
J-13 Dewan Md Farid, Ann Now´e, and Bernard Manderick. An ensemble clustering for mining high-dimensional biological big data. International Journal of Design & Nature and Ecodynamics, 11(3):328–337, July 2016
J-12 Muhammad Shakil Pervez and Dewan Md Farid. Literature review of feature selection for miningtasks. International Journal of Computer Applications, 116(21):30–33, April 2015
J-11 Nutan Farah Haq, Abdur Rahman Onik, Avishek Khan Hridoy, Musharrat Rafni, FaisalMuhammad Shah, and Dewan Md Farid. Application of machine learning approaches in intrusion detection system: A survey. International Journal of Advanced Research in Artificial Intelligence, 4(3):9–18, 2015
J-10 Dewan Md Farid and Chowdhury Mofizur Rahman. Mining complex data streams: discretiza­tion, attribute selection and classification. Journal of Advances in Information Technology, 4(3):129–135, August 2013
J-9 Dewan Md Farid and Chowdhury Mofizur Rahman. Assigning weights to training instances increases classification accuracy. International Journal of Data Mining & Knowledge Man­agement Process, 3(1):13, January 2013
J-8 Amit Biswas, Dewan Md Farid, and Chowdhury Mofizur Rahman. A new decision tree learning approach for novel class detection in concept drifting data stream classification. Journal ofComputer Science and Engineering, 14(1):1–8, 2012
J-7 Fauzia Yasmeen Tani, Dewan Md Farid, and Mohammad Zahidur Rahman. Ensemble of decision tree classifiers for mining web data streams. International Journal of Applied Infor­mation Systems, 1(2):30–36, January 2012
J-6 Dewan Md Farid, Mohammad Zahidur Rahman, and Chowdhury Mofizur Rahman. An ensembleapproach to classifier construction based on bootstrap aggregation. International Journal of Computer Applications, 25(5):30–34, July 2011
J-5 Dewan Md Farid, Mohammad Zahidur Rahman, and Chowdhury Mofizur Rahman. Adaptive intrusion detection based on boosting and na¨ıve bayesian classifier. International Journal of Computer Applications, 24(3):12–19, June 2011
J-4 A J M Abu Afza, Dewan Md Farid, and Chowdhury Mofizur Rahman. A hybrid classifier using boosting, clustering, and na¨ıve bayesian classifier. World of Computer Science and Information Technology Journal, 1(3):105–109, April 2011
J-3 Dewan Md Farid, Nouria Harbi, and Mohammad Zahidur Rahman. Combining na¨ıve bayes and decision tree for adaptive intrusion detection. International Journal of Network Security & Its Applications, 2(2):12–25, April 2010
J-2 Dewan Md Farid, Jerome Darmont, and Mohammad Zahidur Rahman. Attribute weighting withadaptive nbtree for reducing false positives in intrusion detection. International Journal ofComputer Science and Information Security, 8(1):19–26, April 2010
J-1 Dewan Md Farid and Mohammad Zahidur Rahman. Anomaly network intrusion detection based on improved self adaptive bayesian algorithm. Journal of Computers, 5(1):23–31, January 2010

Refereed Conference Papers:

C-58 Ahmed Shabab Noor, Muhib Al Hasan, Ahmed Rafi Hasan, Rezab Ud Dawla, Afsana Airin, Akib Zaman, and Dewan Md. Farid. The impact of data locality on the performance of cluster-based under-sampling. In International Conference on Machine Intelligence and Emerging Technologies (MIET 2022), pages 1–12, Noakhali, Bangladesh, September 2022
C-57 Nabila Sabrin Sworna, Ruhul Amin, Nazifa Sadia, Moshiur Rahman, Nazmul Khan Liton, Md.Saddam Hossain Mukta, Swakkhar Shatabda, and Dewan Md. Farid. Boosting k-nearest neighbour (knn) classification using clustering and adaboost methods. In The IEEE Region 10 Symposium (TENSYMP), pages 1–6, Mumbai, India, July 2022
C-56 Dewan Md. Farid, Aicha Sekhari, Yacine Ouzrout, and Swakkhar Shatabda. Julia for knowl­edge mining in industry 4.0. In JuliaCon, page 1, Everywhere on Earth, July 2020. Julia
C-55 Dewan Md. Farid, Aicha Sekhari, and Yacine Ouzrout. Big data mining in skills 4.0 for ameliorating i4.0. In 12th annual International Conference on Education and New Learning Technologies (EDULEARN20), pages 7261–7270, Valencia, Spain, July 2020
C-54 Dewan Md. Farid, Aicha Sekhari, and Yacine Ouzrout. Cluster-based knowledge transfer approach for smart farming. In 12th annual International Conference on Education and New Learning Technologies (EDULEARN20), pages 7279–7285, Valencia, Spain, July 2020
C-53 Md. Abulkalam Azad, Sadia Islam, Dewan Md. Farid, and Swakkhar Shatabda. Layered ensemble learning for effective binary classification. In 2nd International Conference on Emerging Technology in Data Mining and Information Security (IEMIS), pages 1–9, Kolkata, India, July 2020
C-52 Amit Ghosh, Shamsul Arefeen Al Mahmud, Thajid Ibna Rouf Uday, and Dewan Md. Farid. Assistive technology for visually impaired using tensor flow object detection in raspberry pi and coral usb accelerator. In IEEE Region 10 Symposium (TENSYMP), pages 1–4, Dhaka, Bangladesh, June 2020
C-51 Md. Yasir Arafat, Sabera Hoquef, Shuxiang Xuf, and Dewan Md. Farid. Advanced data balancing method with svm decision boundary and bagging. In IEEE Asia-Pacific Confer­ence on Computer Science and Data Engineering (CSDE), pages 1–7, Melbourne, Australia, December 2019. IEEE
C-50 Shabnam Sabah, Sara Zumerrah Binte Anwar, Sadia Afroze, Md. Abulkalam Azad, Swakkhar Shatabda, and Dewan Md. Farid. Big data with decision tree induction. In 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), pages 1–6, Island of UKULHAS, Maldives, August 2019
C-49 Md Yasir Arafat, Sabera Hoque, Shuxiang Xu, and Dewan Md Farid. An under-sampling method with support vectors in multi-class imbalanced data classification. In 13th Inter­national Conference on Software, Knowledge, Information Management and Applications (SKIMA), pages 1–6, Island of UKULHAS, Maldives, August 2019
C-48 Dewan Md Farid, Swakkhar Shatabda, Mohammad Zoynul Abedin, Md Tarikul Islam, and Md Ishtiak Hossain. Mining imbalanced big data with julia. In JuliaCon, University of Maryland Baltimore (UMB), Baltimore, MD, USA, July 2019
C-47 Amit Ghosh, Md. Shahinuzzaman Sabuj, Hamudi Hasan Sonet, Swakkhar Shatabda, and Dewan Md. Farid. An adaptive video-based vehicle detection, classification, counting, and speed-measurement system for real-time traffic data collection. In The IEEE Region 10 Symposium (TENSYMP) Symposium Theme: Technological Innovation for Humanity, pages 1–6, Kolkata, India, June 2019
C-46 Md. Ochiuddin Miah, Sakib Shahriar Khan, Swakkhar Shatabda, Khondaker Abdullah Al Mamun, and Dewan Md. Farid. Real-time eeg classification of voluntary hand movement directions using brain machine interface. In The IEEE Region 10 Symposium (TENSYMP) Symposium Theme: Technological Innovation for Humanity, pages 1–6, Kolkata, India, June 2019
C-45 Tabassum Siraj, Efrana Jannat, Warafta Rasul, Meher Afroz Chowdhury, Swakkhar Shatabda, andDewan Md. Farid. Big data mining in the presence of concept drifting. In International Conference on Advances in Science, Engineering & Robotics Technology (ICASERT), and IEEEXplore Digital Archive, pages 1–6, Dhaka, Bangladesh, May 2019
C-44 Md. Ochiuddin Miah, Sakib Shahriar Khan, Swakkhar Shatabda, and Dewan Md. Farid. Improving detection accuracy for imbalanced network intrusion classification using cluster-based under-sampling with random forests. In International Conference on Advances in Science, Engineering & Robotics Technology (ICASERT), and IEEE Xplore Digital Archive, pages 1–5, Dhaka, Bangladesh, May 2019
C-43 Sadia Jahan, Swakkhar Shatabda, and Dewan Md. Farid. Active learning for mining big data. In21st International Conference on Computer and Information Technology (ICCIT), and IEEE Xplore Digital Archive, pages 1–6, Dhaka, Bangladesh, December 2018
C-42 Sadidul Islam, Mst. Farhana Sarkar, Towhid Hussain, Md. Mehedi Hasan, Dewan Md. Farid, and Swakkhar Shatabda. Bangla sentence correction using deep neural network based se­quence to sequence learning. In 21st International Conference on Computer and Information Technology (ICCIT), and IEEE Xplore Digital Archive, pages 1–6, Dhaka, Bangladesh, De­cember 2018
C-41 Sristy Sangskriti, Mashiyat Alam Promi, Dewan Md. Farid, and Swakkhar Shatabda. Pre­diction of origin of replication in genome using DNA sequence based features. In 10th In­ternational Conference on Electrical and Computer Engineering (ICECE), and IEEE Xplore Digital Archive, pages 285–288, Dhaka, Bangladesh, December 2018
C-40 Deepita Saha, Md. Mozzammel Haque, Akash Sarkar, Famina Alam, Dewan Md. Farid, Chowdhury Mofizur Rahman, and Swakkhar Shatabda. Novel class detection in concept drifting data streams using decision tree leaves. In 4th IEEE International Women in Engi­neering (WIE)Conference on Electrical and Computer Engineering 2018 (IEEE WIECON-ECE), pages 1–4, Pattaya, Thailand, December 2018
C-39 Sakib Shahriar Khan, Shakim Ahamed, Miftahul Jannat, Swakkhar Shatabda, and De­wan Md. Farid. Classification by clustering (CbC): An approach of classifying big data based on similarities. In 2018 International Joint Conference on Computational Intelligence (IJCCI), pages 1–13, Dhaka, Bangladesh, December 2018
C-38 Md. Ochiuddin Miah, Al Maruf Hassan, Khondaker Abdullah Al Mamun, and Dewan Md. Farid.Brain machine interface for developing virtual-ball movement controlling game. In 2018International Joint Conference on Computational Intelligence (IJCCI), pages 1–10, Dhaka, Bangladesh, December 2018
C-37 Ishteaque Alam, Dewan Md. Farid, and Rosaldo J. F. Rossetti. The prediction of traffic flow with regression analysis. In International Conference on Emerging Technology in Data Mining andInformation Security (IEMIS), pages 1–10, Kolkata, India, February 2018
C-36 Sabera Hoque, Md. Yasir Arafat, and Dewan Md. Farid. Machine learning for mining im­balanced data. In International Conference on Emerging Technology in Data Mining and Information Security (IEMIS), pages 1–10, Kolkata, India, February 2018
C-35 Sajid Ahmed, Farshid Rayhan, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, and DewanMd. Farid. LIUBoost: Locality informed under-boosting for imbalanced data classifi­cation. In International Conference on Emerging Technology in Data Mining and Information Security (IEMIS), pages 1–12, Kolkata, India, February 2018
C-34 Md Yasir Arafat, Sabera Hoque, and Dewan Md. Farid. Cluster-based under-sampling with random forest for multi-class imbalanced classification. In 11th International Conference onSoftware, Knowledge, Information Management and Applications (SKIMA), and IEEE Xplore Digital Archive, pages 1–6, Colombo, Sri Lanka, December 2017
C-33 Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, De­wan Md. Farid, and Chowdhury Mofizur Rahman. MEBoost: Mixing estimators with boosting for imbalanced data classification. In 11th International Conference on Software, Knowledge,Information Management and Applications (SKIMA), and IEEE Xplore Digital Archive,pages 1–6, Colombo, Sri Lanka, December 2017
C-32 Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, and DewanMd. Farid. CUSBoost: Cluster-based under-sampling with boosting for imbalanced classification. In 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS), pages 70–75, Bengaluru, India, December 2017
C-31 Sajid Ahmed, Asif Mahbub, Farshid Rayhan, Md. Rafsan Jani, Swakkhar Shatabda, and Dewan Md. Farid. Hybrid methods for class imbalance learning employing bagging with sampling techniques. In 2nd International Conference on Computational Systems and In­formation Technology for Sustainable Solution (CSITSS), pages 126–131, Bengaluru, India, December 2017
C-30 Ishteaque Alam, Mohammad Fuad Ahmed, Mohaiminul Alam, Jo˜ao Ulisses, Dewan Md. Farid, Swakkhar Shatabda, and Rosaldo J. F. Rossetti. Pattern mining from historical traffic big data.In IEEE Technologies for Smart Cities (TENSYMP), and IEEE Xplore Digital Archive, pages 1–5, Cochin, Kerala, India, July 2017
C-29 Dewan Md. Farid, Ann Now´e, and Bernard Manderick. A feature grouping method for ensembleclustering of high-dimensional genomic big data. In Future Technologies Conference (FTC), and IEEE Xplore Digital Archive, pages 260–268, San Francisco, United States, December 2016
C-28 Dewan Md. Farid, Ann Now´e, and Bernard Manderick. Ensemble of trees for classifying high-dimensional imbalanced genomic data. In SAI Intelligent Systems Conference (IntelliSys), pages 115–122, London, UK, September 2016
C-27 Isel Grau, Maria M. Garcia Lorenzo, Dipankar Sengupta, Dewan Md. Farid, Bernard Mand­erick,Ann Now´e, Dorien Daneels, Maryse Bonduelle, Didier Croes, and Sonia Van Dooren. Genomic variant classifier tool. In SAI Intelligent Systems Conference (IntelliSys), pages 270–272, London, UK, September 2016
C-26 Dewan Md. Farid, Ann Now´e, and Bernard Manderick. A new data balancing method for classifying multi-class imbalanced genomic data. In 25th Belgian-Dutch Conference on Machine Learning (Benelearn), pages 1–2, Kortrijk, Belgium, September 2016
C-25 Dewan Md. Farid, Ann Now´e, and Bernard Manderick. Combining boosting and active learning for mining multi-class genomic data. In 25th Belgian-Dutch Conference on Machine Learning (Benelearn), pages 1–2, Kortrijk, Belgium, September 2016
C-24 Dewan Md. Farid, Ann Now´e, and Bernard Manderick. An ensemble clustering for mining high-dimensional biological big data. In International Conference on Big Data, pages 131–142, Alicante, Spain, May 2016
C-23 Dorien Daneels, Isel Grau, Dipankar Sengupta, Maryse Bonduelle, Dewan Md. Farid, Didier Croes, Ann Now´e, and Sonia Van Dooren. GEVACT: Genomic variant classifier tool. In BeSHG & NVHG First Joint Meeting “Genetics & Society”, pages 114–115, Leuven, Bel­gium, February 2016
C-22 Isel Grau, Dorien Daneels, Sonia Van Dooren, Maryse Bonduelle, Dewan Md. Farid, Didier Croes,Ann Now´e, and Dipankar Sengupta. GEVACT: Genomic variant classification tool. In 10th BeneluxBioinformatics Conference (bbc), page 65, Antwerp, Belgium, December 2015
C-21 Muhammad Shakil Pervez and Dewan Md. Farid. Feature selection and intrusion classifica­tion in nsl kdd cup 99 dataset employing SVMs. In 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), and IEEE Xplore Digital Archive, pages 1–6, Dhaka, Bangladesh, December 2014
C-20 Asraful Alam Pathan, Mehedi Hasan, Md. Ferdous Ahmed, and Dewan Md. Farid. Edu­cational data mining: A mining model for developing students’ programming skills. In 8th InternationalConference on Software, Knowledge, Information Management and Applica­tions (SKIMA), and IEEE Xplore Digital Archive, pages 1–5, Dhaka, Bangladesh, December 2014
C-19 Mohammad A Al-Mamun, Srisukkham Worawut, Dewan Md. Farid, Alamgir Hossain, Charles Fall, and Rosemary Bass. A cellular automaton model for hypoxia effects on tu­mour growthdynamics. In 8th International Conference on Software, Knowledge, Informa­tion Management and Applications (SKIMA), and IEEE Xplore Digital Archive, pages 1–8, Dhaka, Bangladesh, December 2014
C-18 Mukadir Hossain, Tajkia Tasnim, Swakkhar Shatabda, and Dewan Md. Farid. Stochastic local search for pattern set mining. In 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), and IEEE Xplore Digital Archive, pages 1–6, Dhaka, Bangladesh, December 2014
C-17 M A Al-Mamun, Ravenhill Lorna, M Alamgir Hossain, Dewan Md Farid, and Rosemary Bass.Fractal and image analysis of cytoskeletal changes in tumour cells due to the effects of maspin. In IEEE-EMBS International Conferences on Biomedical and Health Informatics (BHI), and IEEE Xplore Digital Archive, pages 209–212, Valencia, Spain, June 2014
C-16 Md. Rejaul Karim and Dewan Md. Farid. An adaptive ensemble classifier for mining complex noisyinstances in data streams. In 3rd International Conference on Informatics, Electronics & Vision (ICIEV), and IEEE Xplore Digital Archive, pages 1–4, Dhaka, Bangladesh, May 2014
C-15 Dewan Md. Farid, Mohammad Masudur Rahman, and M A Al-Mamun. Efficient and scal­able multi-class classification using na¨ıvebayes tree. In 3rd International Conference on Informatics,Electronics & Vision (ICIEV), and IEEE Xplore Digital Archive, pages 1–4, Dhaka, Bangladesh, May 2014
C-14 Dewan Md. Farid, Sabbir Arif Siddique, Li Zhang, Alamgir Hossain, and Chowdhury Mofizur Rahman. Scaling up the classification accuracy of decision tree classifier for multi-class classification tasks. In 7th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), Chiang Mai, Thailand, December 2013
C-13 Dewan Md. Farid, Golam Morshed Maruf, and Chowdhury Mofizur Rahman. A new approach of boosting using decision tree classifier for classifying noisy data. In 2nd International Conference on Informatics, Electronics & Vision (ICIEV), and IEEE Xplore Digital Archive, pages 1–4, Dhaka, Bangladesh, May 2013
C-12 Dewan Md. Farid and Chowdhury Mofizur Rahman. Novel class detection in concept-drifting datastream mining employing decision tree. In 7th International Conference on Electri­cal and Computer Engineering (ICECE), and IEEE Xplore Digital Archive, pages 630–633, Dhaka, Bangladesh, December 2012
C-11 Dewan Md. Farid and Hasan Sarwar. Knowledge mining for effective teaching and enhancing engineering education. In 7th International Conference on Electrical and Computer Engi­neering (ICECE), and IEEE Xplore Digital Archive, pages 354–357, Dhaka, Bangladesh, December 2012
C-10 Dewan Md. Farid. Improve the quality of supervised discretization of continuous valued attributes in data mining. In 14th International Conference on Computer and Information Technology (ICCIT), and IEEE Xplore Digital Archive, pages 61–64, Dhaka, Bangladesh, December 2011
C-9 Dewan Md. Farid, Nouria Harbi, Suman Ahmmed, Mohammad Zahidur Rahman, and ChowdhuryMofizur Rahman. Mining network data for intrusion detection through na¨ıve bayesian with clustering. In International Conference on Computer, Electrical, System Sci­ence, and Engineering (ICCESSE), pages 836–840, Paris, France, June 2010
C-8 Dewan Md. Farid, Nguyen Huu Hoa, Jerome Darmont, Nouria Harbi, and Mohammad Za­hidur Rahman. Scaling up detection rates and reducing false positives in intrusion detec­tion using nbtree. In International Conference on Data Mining and Knowledge Engineering (ICDMKE), pages 186–190, Rome, Italy, April 2010
C-7 Dewan Md. Farid, Nouria Harbi, Emna Bahri, Mohammad Zahidur Rahman, and Chowd­huryMofizur Rahman. Attacks classification in adaptive intrusion detection using decision tree. In International Conference on Computer Science (ICCS), pages 86–90, Rio De Janeiro, Brazil, March 2010
C-6 Dewan Md. Farid, Jerome Darmont, Nouria Harbi, and Chowdhury Mofizur Rahman. A new supervised learning algorithm using na¨ıve bayesian classifier. In IADIS International Conference Information Systems, pages 78–84, Porto, Portugal, March 2010
C-5 Dewan Md. Farid, Jerome Darmont, Nouria Harbi, Nguyen Huu Hoa, and Mohammad Za­hidurRahman. Adaptive network intrusion detection learning: Attribute selection and clas­sification. In International Conference on Computer Systems Engineering (ICCSE), pages 82–86, Bangkok, Thailand, December 2009
C-4 Rabindra Nath Das, Dewan Md. Farid, and Chowdhury Mofizur Rahman. A new decision tree learning approach using bayesian classifier. In 3rd International Conference on Soft­ware, Knowledge, Information Management and Applications (SKIMA), pages 125–131, Fes, Morocco, October 2009
C-3 Dewan Md. Farid and Mohammad Zahidur Rahman. Anomaly detection model for network intrusion detection using conditional probabilities. In 6th International Conference on Infor­mation Technology in Asia 2009 (CITA), pages 104–110, Kuching, Sarawak, Malaysia, July 2009
C-2 Dewan Md. Farid and Mohammad Zahidur Rahman. Learning intrusion detection based on adaptive bayesian algorithm. In 11th International Conference on Computer and Information Technology (ICCIT), and IEEE Xplore Digital Archive, pages 652–656, Khulna, Bangladesh, December 2008
C-1 Dewan Md. Farid and Chowdhury Mofizur Rahman. Self-adaptive na¨ıve bayesian classifier. In 8th International Conference on Computer and Information Technology (ICCIT), pages 1193–1197, Dhaka, Bangladesh, December 2005

Book Chapters:

BC-7 Md. Abulkalam Azad, Sadia Islam, Dewan Md. Farid, and Swakkhar Shatabda. Layered ensemblelearning for effective binary classification. In Jo˜ao Manuel R. S. Tavares, Satyajit Chakrabarti,Abhishek Bhattacharya, and Sujata Ghatak, editors, Emerging Technologies in Data Mining and Information Security, volume 164 of Lecture Notes in Networks and Systems (LNNS), pages 1–9, Singapore, 2021. Springer Singapore
BC-6 Sakib Shahriar Khan, Shakim Ahamed, Miftahul Jannat, Swakkhar Shatabda, and De­wan MdFarid. Classification by clustering (CbC): An approach of classifying big data based on similarities.In Mohammad Shorif Uddin and Jagdish Chand Bansal, editors, Proceedings of International Joint Conference on Computational Intelligence, Algorithms for Intelligent Systems (AIS), pages 593–605, Singapore, 2020. Springer, Singapore
BC-5 Md Ochiuddin Miah, Al Maruf Hassan, Khondaker Abdullah Al Mamun, and Dewan Md Farid.Brain–machine interface for developing virtual-ball movement controlling game. In Mohammad Shorif Uddin and Jagdish Chand Bansal, editors, Proceedings of International Joint Conference on Computational Intelligence, Algorithms for Intelligent Systems (AIS), pages 607–616, Singapore,2020. Springer, Singapore
BC-4 Sajid Ahmed, Farshid Rayhan, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, and Dewan Md Farid. Liuboost: Locality informed under-boosting for imbalanced data classi­fication. In Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhat­tacharya, and Soumi Dutta, editors, Emerging Technologies in Data Mining and Information Security, pages 133–144, Singapore, 2019. Springer, Singapore
BC-3 Ishteaque Alam, Dewan Md Farid, and Rosaldo J F Rossetti. The prediction of traffic flow with regression analysis. In Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, and Soumi Dutta, editors, Emerging Technologies in Data Mining and Information Security, pages 661–671, Singapore, 2019. Springer, Singapore
BC-2 Dewan Md Farid, Ann Now´e, and Bernard Manderick. Ensemble of trees for classifying high-dimensional imbalanced genomic data. In Yaxin Bi, Supriya Kapoor, and Rahul Bhatia, editors, Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, pages 172–187, Cham, 2018. Springer International Publishing
BC-1 Dewan Md Farid, Mohammad Zahidur Rahman, and Chowdhury Mofizur Rahman. Mining complex network data for adaptive intrusion detection. In Adem Karahoca, editor, Advances in Data Mining Knowledge Discovery and Applications, pages 327–348, Croatia, September 2012. InTech

Professional Activities

  • Advisory Committee: CSITSS 2017, CSITSS 2018, CSITSS 2019, ICAICT2020.
  • Publication Chair: SKIMA 2014, SKIMA 2015, ICCIT 2018.
  • Session Chair: ICCIT 2014, IEEE TENSYMP 2017, CSITSS 2017, SKIMA 2018, IJCCI 2018, CSITSS 2018, JuilaCon 2019.
  • Technical Programme Committee: SKIMA 2014, SKIMA 2017, ICBDM 2018, SKIMA 2018, MLSM2020.
  • Reviewer: ICCIT 2013, SKIMA 2013, IFOST 2014, SKIMA 2015, IEEE WIECON-ECE 2016, and ITSC 2017, SKIMA 2018, SKIMA 2019.

Talk/ Seminar/ Workshop

  1. Keynote Speech – “Big Data Analytics in Industry 4.0,” 4th International Joint Conference on Advances in Computational Intelligence (IJCACI 2020), Dhaka, Bangladesh, November 20-21, 2020.

  2. Research Talk: “Machine Learning for Data Mining Applications in Big Data,” Data to AI Group (DAI), Laboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA, August 07, 2019.
  3. Workshop on: “Challenges and Opportunities for Mining Big Data with Data Mining,” Department of Computer Science and Telecommunication Engineering, Noakhali Science and Technology University, Bangladesh, March 21, 2019.
  4. Seminar on: “Big Data with Data Mining,” Department of Computer Science and Engineering, Asian University of Bangladesh, March 07, 2019.
  5. Plenary Talk: “Machine Learning with Big Data,” 3rd International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS 2018), December 20 – 22, 2018, R V College of Engineering, Bengaluru – 560 059, India.
  6. Invited Talk: “Data Mining with Big Data: Challenges and Opportunities,” 2018 International Joint Conference on Computational Intelligence (IJCCI 2018), December 14-15, 2018, Daffodil International University, Dhaka, Bangladesh.
  7. Invited Talk: “Machine Learning for Mining Big Data,” 12th International Conference on Software, Knowledge, Information Management & Applications (SKIMA 2018), December 3-5, 2018, Phnom Penh, Cambodia.
  8. Workshop on: “Future of Computer Science: Challenges & Prospects,” Department of Computer Science and Engineering, Asian University of Bangladesh, July 04, 2018.
  9. Plenary Talk: “Machine Learning for Mining Big Data,” International Conference on Emerging Technologies in Data Mining and Information Security, February 23-25, 2018, Kolkata, India.
  10. Seminar on: “Research and Academic Development,” Department of Computer Science and Engineering, Daffodil International University, Bangladesh, January 31, 2018.
  11. Seminar on: “An Adaptive Rule-based Classifier for Mining Big Biological Data,” Laboratory of Artificial Intelligence and Decision Support (LIAAD), INESC TEC, Portugal, June 22, 2016.
  12. Seminar on: “Machine Learning for Data Mining Applications in Big Data,” Department of Informatics Engineering, Faculty of Engineering, University of Porto, Portugal, June 14, 2016.

Training/ Workshop Attended

  1. International Symposium on Quality Assurance in Engineering Education Through Accreditation, Organized by: Board of Accreditation for Engineering and Technical Education, Institution of Engineers, Bangladesh (IEB), 13-14 March 2019, Dhaka, Bangladesh.
  2. Research Publication Workshop, Accounting Research Institute (ARI) – Universiti Teknologi Mara (UiTM), Malaysia, 18-20 September 2018.
  3. Julia TOT Workshop on AI/ ML, University of Liberal Arts Bangladesh, September 6 – 8, 2018.
  4. Certificate Course on Teaching for Active Learning, Foundation for Learning, Teaching and Research (fLTR), Green University Center of Excellence for Teaching and Learning, May 18 – 20, 2017.
  5. Certificate in Web Component Development Using Java Technologies, Joint certification by SUN Microsystems, USA and NIIT Ltd, India in 2007.
  6. Oracle 9i Database Administration at BASE Limited under Oracle Workforce Development Program in 2006.
  7. Redhat Certified Engineer at BASE Limited under redhat Global Learning Services Training & Certification Programs in 2006.

Country Visited      

Maldives, Thailand, Cambodia, Sri Lanka, Kingdom of Saudi Arabia, United States of America, Netherlands, Spain, Belgium, United Arab Emirates, United Kingdom, Italy, Portugal, Switzerland, France, Germany, Malaysia, and India (Total 18 Countries).

  • Data Mining
  • Machine Learning
  • Big Data
  • Decision Support System
  • Market Intelligence
  • Pattern Recognition
  • Structured Programming Language (C)
  • Object Oriented Programming (Java)