Faculty Profile

Farid, Dewan Md., Phd

Associate ProfessorEmail : dewanfarid@cse.uiu.ac.bd

Dr. Dewan Md. Farid is an Associate Professor, Department of Computer Science and Engineering, United International University, Bangladesh. He worked as a Postdoctoral Fellow at the following research groups: (1) Computational Modeling Lab (CoMo), Department of Computer Science, Vrije Universiteit Brussel, Belgium in 2015-2016, and (2) Computational Intelligence Group (CIG), Department of Computer Science and Digital Technology, University of Northumbria at Newcastle, UK in 2013. Dr. 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 Lumière Lyon 2, France by Erasmus-Mundus ECW eLink PhD Exchange Program. He has published 51 peer-reviewed scientific articles, including 18 journal papers in the field of machine learning and data mining. Dr. Farid received United Group Research Award 2016 in the field of Science and Engineering. He received following Erasmus Mundus scholarships: (1) LEADERS (Leading mobility between Europe and Asia in Developing Engineering Education and Research) in 2015, (2) cLink (Centre of excellence for Learning, Innovation, Networking and Knowledge) in 2013, and (3) eLink (east west Link for Innovation, Networking and Knowledge exchange) in 2009. Dr. Farid also received Senior Fellowship I, and II award by National Science & Information and Communication Technology (NSICT), Ministry of Science & Information and Communication Technology, Government of Bangladesh respectively in 2008 and 2011. He is a member of IEEE.

Google Scholar: https://scholar.google.com/citations?user=005Zi1sAAAAJ&hl=en

  1. United Group Research Award 2016 in the field of Science and Engineering.
  2. FWO research project G004414N “Machine Learning for Data Mining Applications in Cancer Genomics” for pursuing postdoctoral research at the Computational Modeling Lab, Department of Computer Science, Vrije Universiteit Brussel, Belgium from May 2016 to September 2016.
  3. BRiDGEIris (Brussels big data platform for sharing and discovery in clinical Genomics) project funded by INNOVIRIS for pursuing one year postdoctoral research at the Computational Modeling Lab, Department of Computer Science, Vrije Universiteit Brussel, Belgium in 2015.
  4. Erasmus Mundus 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.
  5. Erasmus Mundus cLink (Centre of excellence for Learning, Innovation, Networking and Knowledge) for pursuing postdoctoral research at the Computational Intelligence Group (CIG), Department of Computer Science and Digital Technology, University of Northumbria at Newcastle, UK in 2013.
  6. Senior Fellowship II awarded by National Science & Information and Communication Technology (NSICT), Ministry of Science & Information and Communication Technology, Government of Bangladesh in 2011 for pursuing Ph.D. research at Jahangirnagar University, Bangladesh.
  7. Erasmus Mundus eLink (east west Link for Innovation, Networking and Knowledge exchange) for pursuing Ph.D. research at ERIC laboratory, University Lumière Lyon 2, France from September 2009 to June 2010.
  8. Senior Fellowship I awarded by National Science & Information and Communication Technology (NSICT), Ministry of Science & Information and Communication Technology, Government of Bangladesh in 2008 for pursuing Ph.D. research at Jahangirnagar University, Bangladesh.

  • Associate Professor, Dept. of Computer Science & Engineering – January 30, 2017 – present. United International University, Bangladesh.
  • 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, 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.

Refereed Journal Articles

  1. Dewan Md. Farid, Mohammad Abdullah Al-Mamun, Bernard Manderick, Ann Nowe, “An adaptive rule-based classifier for mining big biological data,” Expert Systems with Applications, Elsevier, 64, 1 December 2016, pp. 305-316 (Impact Factor: 3.928).
  2. Mohammad Abdullah Al-Mamun, Dewan Md. Farid, Lorna Ravenhill, M Alamgir Hossain, Charles Fall, Rosemary Bass, “An in silico model to demonstrate the effects of Maspin on cancer cell dynamics,” Journal of Theoretical Biology, Elsevier, Vol. 388, 7 January 2016, pp. 37-49 (Impact Factor: 2.113).
  3. Dewan Md. Farid, Li Zhang, Chowdhury Mofizur Rahman, M.A. Hossain, Rebecca Strachan, “Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks,” Expert Systems with Applications, Elsevier, Vol. 41, Issue 4, Part 2, March 2014, pp. 1937-1946 (Impact Factor: 3.928).
  4. Dewan Md. Farid, Li Zhang, Alamgir Hossain, Chowdhury Mofizur Rahman, Rebecca Strachan, Graham Sexton, Keshav Dahal, “An adaptive ensemble classifier for mining concept drifting data streams,” Expert Systems with Applications, Elsevier, Vol. 40, Issue 15, 1 November 2013, pp. 5895-5906 (Impact Factor: 3.928).
  5. Li Zhang, Ming Jiang, Dewan Md. Farid, M.A. Hossain, “Intelligent facial emotion recognition and semantic-based topic detection for a humanoid robot,” Expert Systems with Applications, Elsevier, Vol. 40, Issue 13, 1 October 2013, pp. 5160-5168 (Impact Factor: 3.928).
  6. Dewan Md. Farid, Ann Nowé, Bernard Manderick, “An ensemble clustering for mining high-dimensional biological big data,” International Journal of Design & Nature and Ecodynamics, 11, Issue 3, 2016, pp. 328-337.
  7. Muhammad Shakil Pervez, Dewan Md. Farid, “Literature review of feature selection for mining tasks,” International Journal of Computer Applications, Vol. 116, No. 21, April 2015, pp. 30-33.
  8. Nutan Farah Haq, Abdur Rahman Onik, Avishek Khan Hridoy, Musharrat Rafni, Faisal Muhammad Shah, Dewan Md. Farid, “Application of machine learning approaches in intrusion detection system: A survey,” International Journal of Advanced Research in Artificial Intelligence, Vol. 4, Issue 3, 2015, pp. 9-18.
  9. Dewan Md. Farid, Chowdhury Mofizur Rahman, “Mining complex data streams: discretization, attribute selection and classification,” Journal of Advances in Information Technology, Academy Publisher, Vol. 4, No. 3, August 2013, pp. 129-135.
  10. Dewan Md. Farid, Chowdhury Mofizur Rahman, “Assigning weights to training instances increases classification accuracy,” International Journal of Data Mining & Knowledge Management Process, 3, No. 1, January 2013, pp. 13-25.
  11. Amit Biswas, Dewan Md. Farid, Chowdhury Mofizur Rahman, “A new decision tree learning approach for novel class detection in concept drifting data stream classification,” Journal of Computer Science and Engineering, Vol. 14, Issues 1, July 2012, pp. 1-8.
  12. Fauzia Yasmeen Tani, Dewan Md. Farid, Mohammad Zahidur Rahman, “Ensemble of decision tree classifiers for mining web data streams,” International Journal of Applied Information Systems, Vol. 1, No. 2, January 2012, pp. 30-36.
  13. Dewan Md. Farid, Mohammad Zahidur Rahman, Chowdhury Mofizur Rahman, “An ensemble approach to classifier construction based on Bootstrap aggregation,” International Journal of Computer Applications, 25, No. 5, July 2011, pp. 30-34.
  14. Dewan Md. Farid, Mohammad Zahidur Rahman, Chowdhury Mofizur Rahman, “Adaptive intrusion detection based on boosting and naïve Bayesian classifier,” International Journal of Computer Applications, 24, No. 3, June 2011, pp. 12-19.
  15. J. M. Abu Afza, Dewan Md. Farid, Chowdhury Mofizur Rahman, “A hybrid classifier using boosting, clustering, and naïve Bayesian classifier,” World of Computer Science and Information Technology Journal, Vol. 1, No. 3, April 2011, pp. 105-109.
  16. Dewan Md. Farid, Nouria Harbi, Mohammad Zahidur Rahman, “Combining naïve Bayes and decision tree for adaptive intrusion detection,” International Journal of Network Security & Its Applications, Vol. 2, No. 2, April 2010, pp. 12-25.
  17. Dewan Md. Farid, Jerome Darmont, Mohammad Zahidur Rahman, “Attribute weighting with adaptive NBTree for reducing false positives in intrusion detection,” International Journal of Computer Science and Information Security, Vol. 8, No. 1, April 2010, pp. 19-26.
  18. Dewan Md. Farid, Mohammad Zahidur Rahman, “Anomaly network intrusion detection based on improved self adaptive Bayesian algorithm,” Journal of Computers, Academy Publisher, 5, No. 1, January 2010, pp. 23-31.

Book Chapter

  1. Dewan Md. Farid, Mohammad Zahidur Rahman, Chowdhury Mofizur Rahman, “Chapter Title: Mining complex network data for adaptive intrusion detection,” “Chapter No: 15,” “Book Title: Advances in Data Mining Knowledge Discovery and Applications,” ISBN 978-953-51-0748-4, INTECH, September 2012, 327-348.

Refereed International Conferences

  1. Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, and Dewan Md. Farid, “CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification,” 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS-2017), December 21-23, 2017, Bengaluru, India (Accepted).
  2. 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,” 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS-2017), December 21-23, 2017, Bengaluru, India (Accepted).
  3. Ishteaque Alam, Mohammad Fuad Ahmed, Mohaiminul Alam, João Ulisses, Dewan Md. Farid, Swakkhar Shatabda and Rosaldo J. F. Rossetti, “Pattern Mining from Historical Traffic Big Data,” IEEE Technologies for Smart Cities (TENSYMP 2017), 14-16 July 2017, Cochin, Kerala, India, pp. 1-5.
  4. Dewan Md. Farid, Ann Nowé, Bernard Manderick, “A Feature Grouping Method for Ensemble Clustering of High-Dimensional Genomic Big Data,” IEEE Future Technologies Conference (FTC), 6-7 December 2016, San Francisco, United States, pp. 260-268, and IEEE Xplore Digital Archive, doi: 10.1109/FTC.2016.7821620.
  5. Dewan Md. Farid, Ann Nowé, Bernard Manderick, “Ensemble of trees for classifying high-dimensional imbalanced genomic data,” IEEE SAI Intelligent Systems Conference (IntelliSys 2016), 21-22 September 2016, London, UK, pp. 115-122.
  6. Isel Grau, Maria M. Garcia Lorenzo, Dipankar Sengupta, Dewan Md. Farid, Bernard Manderick, Ann Nowe, Dorien Daneels, Maryse Bonduelle, Didier Croes, Sonia Van Dooren, “Genomic Variant Classifier Tool,” IEEE SAI Intelligent Systems Conference (IntelliSys 2016), 21-22 September 2016, London, UK, pp. 270-272.
  7. Dewan Md. Farid, Ann Nowé, Bernard Manderick, “A New Data Balancing Method for Classifying Multi-Class Imbalanced Genomic Data,” 25th Belgian-Dutch Conference on Machine Learning (Benelearn), 12-13 September 2016, Kortrijk, Belgium, pp. 1-2.
  8. Dewan Md. Farid, Ann Nowé, Bernard Manderick, “Combining Boosting and Active Learning for Mining Multi-Class Genomic Data,” 25th Belgian-Dutch Conference on Machine Learning (Benelearn), 12-13 September 2016, Kortrijk, Belgium, pp. 1-2.
  9. Dewan Md. Farid, Ann Nowé, Bernard Manderick, “An ensemble clustering for mining high-dimensional biological big data,” International Conference on Big Data, 3-5 May 2016, Alicante, Spain, pp. 131-142.
  10. Dorien Daneels, Isel Grau, Dipankar Sengupta, Maryse Bonduelle, Dewan Md. Farid, Didier Croes, Ann Nowé, Sonia Van Dooren, “GEVACT: Genomic Variant Classifier Tool,” BeSHG & NVHG First Joint Meeting “Genetics & Society,” February 4-5, 2016, Leuven, Belgium, pp. 114-115.
  11. Isel Grau, Dorien Daneels, Sonia Van Dooren, Maryse Bonduelle, Dewan Md. Farid, Didier Croes, Ann Nowé, Dipankar Sengupta, “GEVACT: Genomic variant classification tool,” 10th Benelux Bioinformatics Conference (bbc 2015), December 7-8, 2015, Antwerp, Belgium, pp. 65.
  12. Muhammad Shakil Pervez, Dewan Md. Farid, “Feature selection and intrusion classification in NSL KDD Cup 99 dataset employing SVMs,” 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 18-20 December 2014, Dhaka, Bangladesh, pp. 1-6, and IEEE Xplore Digital Archive, doi: 1109/SKIMA.2014.7083539.
  13. Asraful Alam Pathan, Mehedi Hasan, Md. Ferdous Ahmed, Dewan Md. Farid, “Educational data mining: A mining model for developing students’ programming skills,” 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 18-20 December 2014, Dhaka, Bangladesh, pp. 1-5, and IEEE Xplore Digital Archive, doi: 1109/SKIMA.2014.7083552.
  14. Mohammad A Al-Mamun, Srisukkham Worawut, Dewan Md. Farid, Alamgir Hossain, Charles Fall, Rosemary Bass, “A cellular automaton model for hypoxia effects on tumour growth dynamics,” 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 18-20 December 2014, Dhaka, Bangladesh, pp.1-8, and IEEE Xplore Digital Archive, doi: 1109/SKIMA.2014.7083562.
  15. Mukadir Hossain, Tajkia Tasnim, Swakkhar Shatabda, Dewan Md. Farid, “Stochastic local search for pattern set mining,” 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 18-20 December 2014, Dhaka, Bangladesh, pp. 1-6, and IEEE Xplore Digital Archive, doi: 1109/SKIMA.2014.7083547.
  16. M A Al-Mamun, Ravenhill Lorna, M Alamgir Hossain, Dewan Md Farid, Rosemary Bass, “Fractal and image analysis of cytoskeletal changes in tumour cells due to the effects of maspin,” IEEE-EMBS International Conferences on Biomedical and Health Informatics (BHI), Valencia, Spain, 1-4 June, 2014, 209-212, and IEEE Xplore Digital Archive, doi: 10.1109/BHI.2014.6864341.
  17. Rejaul Karim, Dewan Md. Farid, “An adaptive ensemble classifier for mining complex noisy instances in data streams,” 3rd International Conference on Informatics, Electronics & Vision (ICIEV), 23-24 May, 2014, Dhaka, Bangladesh, pp.1-4, and IEEE Xplore Digital Archive, doi: 10.1109/ICIEV.2014.6850838.
  18. Dewan Md. Farid, Mohammad Masudur Rahman, M A Al-Mamun, “Efficient and scalable multi-Class classification using naïve Bayes tree,” 3rd International Conference on Informatics, Electronics & Vision (ICIEV), 23-24 May, 2014, Dhaka, Bangladesh, pp. 1-4, and IEEE Xplore Digital Archive, doi: 1109/ICIEV.2014.6850698.
  19. Dewan Md. Farid, Sabbir Arif Siddique, Li Zhang, Alamgir Hossain, Chowdhury Mofizur Rahman, “Scaling up the classification accuracy of decision tree classifier for multi-class classification tasks,” 7th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 18-20 December 2013, Chiang Mai, Thailand.
  20. Dewan Md. Farid, Golam Morshed Maruf, Chowdhury Mofizur Rahman, “A new approach of boosting using decision tree classifier for classifying noisy data,” 2nd International Conference on Informatics, Electronics & Vision (ICIEV), May 17-18, 2013, Dhaka, Bangladesh, pp. 1-4, and IEEE Xplore Digital Archive, doi: 10.1109/ICIEV.2013.6572718.
  21. Dewan Md. Farid, Chowdhury Mofizur Rahman, “Novel class detection in concept-drifting data stream mining employing decision tree,” 7th International Conference on Electrical and Computer Engineering (ICECE), 20-22 December 2012, Dhaka, Bangladesh, pp. 630-633, and IEEE Xplore Digital Archive, doi: 10.1109/ICECE.2012.6471629.
  22. Dewan Md. Farid, Hasan Sarwar, “Knowledge mining for effective teaching and enhancing engineering education,” 7th International Conference on Electrical and Computer Engineering (ICECE), 20-22 December 2012, Dhaka, Bangladesh, pp. 354-357, and IEEE Xplore Digital Archive, doi: 10.1109/ICECE.2012.6471560.
  23. Dewan Md. Farid, “Improve the quality of supervised discretization of continuous valued attributes in data mining,” 14th International Conference on Computer and Information Technology (ICCIT), 22-24 December 2011, Dhaka, Bangladesh, pp. 61-64, and IEEE Xplore Digital Archive, doi: 10.1109/ICCITechn.2011.6164874.
  24. Dewan Md. Farid, Nouria Harbi, Suman Ahmmed, Mohammad Zahidur Rahman, Chowdhury Mofizur Rahman, “Mining network data for intrusion detection through naïve Bayesian with clustering,” International Conference on Computer, Electrical, System Science, and Engineering (ICCESSE), June 28-30, 2010, Paris, France, pp. 836-840.
  25. Dewan Md. Farid, Nguyen Huu Hoa, Jerome Darmont, Nouria Harbi, Mohammad Zahidur Rahman, “Scaling up detection rates and reducing false positives in intrusion detection using NBTree,” International Conference on Data Mining and Knowledge Engineering (ICDMKE), April 28-30, 2010, Rome, Italy, pp. 186-190.
  26. Dewan Md. Farid, Nouria Harbi, Emna Bahri, Mohammad Zahidur Rahman, Chowdhury Mofizur Rahman, “Attacks classification in adaptive intrusion detection using decision tree,” International Conference on Computer Science (ICCS), 29-31 March, 2010, Rio De Janeiro, Brazil, pp. 86-90.
  27. Dewan Md. Farid, Jerome Darmont, Nouria Harbi, Chowdhury Mofizur Rahman, “A new supervised learning algorithm using naïve Bayesian classifier,” IADIS International Conference Information Systems 2010, 18-20 March, 2010, Porto, Portugal, pp. 78-84.
  28. Dewan Md. Farid, Jerome Darmont, Nouria Harbi, Nguyen Huu Hoa, Mohammad Zahidur Rahman, “Adaptive network intrusion detection learning: Attribute selection and classification,” International Conference on Computer Systems Engineering (ICCSE), December 25-27, 2009, Bangkok, Thailand, pp. 82-86.
  29. Rabindra Nath Das, Dewan Md. Farid, Chowdhury Mofizur Rahman, “A new decision tree learning approach using Bayesian classifier,” 3rd International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 21 – 23 October, 2009, Fes, Morocco, pp. 125-131.
  30. Dewan Md. Farid, Mohammad Zahidur Rahman, “Anomaly detection model for network intrusion detection using conditional probabilities,” 6th International Conference on Information Technology in Asia 2009 (CITA), 6th – 9th July 2009, Kuching, Sarawak, Malaysia, pp. 104-110.
  31. Dewan Md. Farid, Mohammad Zahidur Rahman, “Learning intrusion detection based on adaptive Bayesian algorithm,” 11th International Conference on Computer and Information Technology (ICCIT), 25-27 December 2008, Khulna, Bangladesh, pp. 652-656, and IEEE Xplore Digital Archive, doi: 10.1109/ICCITECHN.2008.4803036.
  32. Dewan Md. Farid, Chowdhury Mofizur Rahman, “Self adaptive naïve Bayesian classifier,” 8th International Conference on Computer and Information Technology (ICCIT), 28-30 December 2005, Dhaka, Bangladesh, pp. 1193-1197.

Professional Activities

  • Scientific Advisor, Scientific Research and Innovation Foundation (http://www.srifindis.org/)
  • Advisory Committee: CSITSS 2017.
  • Publication Chair: SKIMA 2014, SKIMA 2015.
  • Session Chair: ICCIT 2014, IEEE TENSYMP 2017.
  • Technical Programme Committee: SKIMA 2014, SKIMA 2017.
  • Reviewer: ICCIT 2013, SKIMA 2013, IFOST 2014, SKIMA 2015, IEEE WIECON-ECE 2016, and ITSC 2017.

Seminar

  1. “Machine Learning for Data Mining Applications in Big Data”, Department of Informatics Engineering, Faculty of Engineering, University of Porto, Portugal, June 14, 2016.
  2. “An Adaptive Rule-based Classifier for Mining Big Biological Data”, Laboratory of Artificial Intelligence and Decision Support (LIAAD), INESC TEC, Portugal, June 22, 2016.

Training

  1. 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.
  2. Certificate in Web Component Development Using Java Technologies, Joint certification by SUN Microsystems, USA and NIIT Ltd, India in 2007.
  • SL-275, JavaTM Programming Language.
  • SL-314, Web Component Development with Servlet and JSPTM
  • FJ-310, Developing Applications for the J2EETM
  1. Oracle 9i Database Administration at BASE Limited under Oracle Workforce Development Program in 2006.
  2. Redhat Certified Engineer at BASE Limited under redhat Global Learning Services Training & Certification Programs in 2006.

Country Visited      

United States of America, Netherlands, Spain, Belgium, United Arab Emirates, United Kingdom, Italy, Portugal, Switzerland, France, Germany, Malaysia, and India.

  • Data Mining
  • Machine Learning
  • Pattern Recognition
  • Data Warehousing & Business Intelligence
  • Web Programming
  • Structured Programming Language (C)
  • Object Oriented Programming (Java).