Profile of Dr. Ashis Kumar Mandal


Dr. Ashis Kumar Mandal


Department of Computer Science and Engineering (CSE)

Faculty of Computer Science and Engineering

Hajee Mohammad Danesh Science & Technology University, Dinajpur.


Mobile: +8801912136021


    Soft computing, Data Mining, Machine Learning, Bioinformatics and Computational Biology, Operation research, Cloud computing & IoT


  1. PhD in Software and Information Science, 2022

    Graduate School of Soft. and Info. Science, Iwate Prefectural University (IPU), Iwate, Japan

  2. Master of Computer Science, 2017

    Faculty of Computing, University Malaysia Pahang (UMP), Malaysia

  3. B. Sc. Engg. in Computer Science and Engineering, 2007

    Dept. of CSE, Shahjalal University of Science and Technology (SUST), Sylhet, Bangladesh


  1. Professor
    Hajee Mohammad Danesh Science and Technology University (HSTU)

    January 18, 2022 to Present

  2. Ph.D. Research Fellow
    Graduate School of Software and Information Science, Iwate Prefectural University, Japan

    October 01, 2018 to March 30, 2022

  3. Associate Professor
    Hajee Mohammad Danesh Science and Technology University (HSTU)

    January 18, 2017 to January 17, 2022

  4. Research Assistant
    Faculty of Computing, University Malaysia Pahang (UMP), Malaysia

    May 01, 2014 to December 01, 2015

  5. Assistant Professor
    Hajee Mohammad Danesh Science and Technology University (HSTU)

    May 08, 2011 to January 17, 2017

  6. Course Teacher, Postgraduate Diploma in ICT
    Institute of Research and Training, HSTU

    January 29, 2008 to January 01, 2010

  7. Lecturer
    Hajee Mohammad Danesh Science and Technology University (HSTU)

    January 29, 2008 to May 07, 2011

  8. Lecturer, Departmet of CSE
    Leading University, Sylhet, Bangladesh

    September 01, 2007 to January 28, 2008

  9. Programmer
    Synchronous ICT, Sylhet

    August 01, 2006 to February 01, 2007


Journal Papers

  1. Mandal A. K., Sen R., and Chakraborty B. (2023). Quantum Inspired Owl Search Algorithm with Ensembles of Filter Methods for Gene Subset Selection from Microarray Data. International Journal of Pattern Recognition and Artificial Intelligence. Vol. 36, No.15 2351001. DOI:10.1142/S0218001423510011.

  2. Sen R., Mandal A. K., and Chakraborty B. (2022). An effective feature subset selection approach based on Jeffries-Matusita distance for multi-class problems. Journal of Intelligent and Fuzzy Systems. Vol. 42, No. 4, pp. 4173-4190. DOI: 10.3233/JIFS-202796.

  3. Mandal A. K., Sen R. and Chakraborty B. (2021). Comparative Study of Univariate and Multivariate Long Short-Term Memory for Very Short-Term Forecasting of Global Horizontal Irradiance. Symmetry,  13(8):1544. DOI: 10.3390/sym13081544.

  4.  Sen R., Mandal A. K.  and Chakraborty B. (2021). A Critical Study on Stability Measures of Feature Selection with a Novel Extension of Lustgarten Index. Machine Learning and Knowledge Extraction,  3(4):771-787. DOI: 10.3390/make3040038.

  5.  Mandal A. K., Sen R. and Chakraborty B. (2021). Feature Selection in Classification using Self-adaptive Owl Search Optimization Algorithm with Elitism and Mutation Strategies. Journal of Intelligent & Fuzzy Systems,  40(1): 535-550, DOI: 10.3233/JIFS-200258

  6. Mandal A. K., Sen R. and Chakraborty B. (2020). Analysis of Various Transfer Functions for Binary Owl Search Algorithm in Feature Selection Problem. International Journal of Applied Science and Engineering,  17(3):281–297. DOI: 10.6703/IJASE.202009_17(3).281.

  7. Mandal A. K. and Kahar M. N. M., Kendall G. (2020). Addressing Examination Timetabling Problem Using a Partial Exams Approach in Constructive and Improvement. Computation,  8(2):46. DOI: 10.3390/computation8020046.

  8. Mandal A. K. (2020). Development of an Interactive Tool based on Combining Graph Heuristic with Local Search for Examination Timetable Problem. International Journal of Advanced Computer Science and Applications,11(3):686-694. DOI: 10.14569/IJACSA.2020.0110385.

  9. Mandal A. K., Kahar M.N.M. (2020). Performance Analyses of Graph Heuristics and Selected Trajectory Metaheuristics on Examination Timetable Problem. Indonesian Journal of Electrical Engineering and Informatics (IJEEI). Vol. 8, No. 1, pp. 163-177, DOI: 10.52549/ijeei.v8i1.1660.

  10. Mandal A. K., Mallick D., Sah R. Ali A., Habib M.A. (2019). Artificial Neural Network Models for Temperature Forecasting in Sundarban Region of Bangladesh. Journal of Science and Technology, Bangladesh. Vol. 17, pp. 81-88. ISSN 1994-0386.

  11.  Kahar M. N. M, Bakar S. A. , Shing L. and Mandal A. K.  (2018). Solving Kolej Poly-Tech Mara Examination Timetabling Problem, Advanced Science Letters, USA, 24(10): 7577-7581(5). DOI: 10.1166/asl.2018.12981.

  12. Hossain, M. D., Sultana, T. and Mandal A. K. (2016). Online Garments Inventory Management System. International Journal of Advanced Engineering, Management and Science (IJAEMS),  2(7):1059-1063. ISSN: 2454-1311.

  13. Mandal A. K., Kahar M.N.M. (2017). Variant of LSB Steganography Algorithm for Hiding Infor- mation in RGB Images. International Journal of Signal Processing.International Journal of Signal Processing, Image Processing and Pattern Recognition (IJSIP) , Vol. 2, No. 7, pp. 1059-1063.  DOI: 10.14257/ijsip.2017.10.1.05.

  14. Mandal A. K. and Kahar M. N. M. (2016). Partial Graph Heuristic with Hill Climbing for Examination Timetabling Problem. Journal of Theoretical and Applied Information Technology (JTAIT), 88(2):238-251. ISSN: 1992-8645.

  15. Mandal A. K. and Sen R. (2014). Supervised Learning Methods for Bangla Web Document Categorization. International Journal of Artificial Intelligence and Applications (IJAIA), 5(5):93-105. ISSN 0976-2191.  DOI : 10.5121/ijaia.2014.5508.

  16. Mandal A. K. and Hossain M. D. (2014). Effective and Uninterrupted Execution of Numerical Integration through Computational Grid. Journal of Science and Technology, HSTU, Bangladesh, 12:35-40. ISSN 1994-0386.

  17. Nadim M., Billah S. M. B., Alam M. S., Mandal A. K., Uddin M. P. and Islam M. R. (2014). Cross-user Source-based Data Deduplication in Distributed System without Violating Data Privacy of Individual User. International Journal of Research in Computer Engineering and Electronics, 3(6):1-5. ISSN 2319-376X.

  18. Sultana T., Showkat M. S. A., Alam M. S., Hossain M. D. and Mandal A. K. (2013). Reducing Peak to Average Power Ratio of OFDM Signals using Tukey Window Technique. International Journal of Scientific Engineering and Technology. 2(9): 879-883. ISSN 2277-1581 [online].

  19. Barman P. C., Hossain M. D., Mandal A. K., Singh B. C. and Miah M. S. (2012). NMF and PCA Techniques for Feature Extraction and Classification. Journal of Science and Technology, HSTU, Bangladesh, 9 & 10: 93-100. ISSN 1994-0386.

Conference Papers

  1. Sen, R., Mandal, A.K., Goswami, S., Chakraborty, B. (2023). Prediction of Particulate Matter (PM2.5) Across India Using Machine Learning Methods. In: Saraswat, M., Chowdhury, C., Kumar Mandal, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications. Lecture Notes in Networks and Systems, vol 552. Springer, Singapore. DOI: 10.1007/978-981-19-6634-7_38

  2. R. Sen, Mandal A.K., B. Chakraborty. (2021). Performance Analysis of Extended Lustgarten Index for Stability of Feature Selection. 2021 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), Singapore, pp. 1-5. DOI: 10.1109/SOLI54607.2021.9672357.

  3. Mandal A.K., Panday M., Biswas A., Goswami S., Chakrabarti A., Chakraborty B. (2021). An Approach of Feature Subset Selection Using Simulated Quantum Annealing. In: Sharma N., Chakrabarti A., Balas V., Martinovic J. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, Vol. 1174. Springer, Singapore. DOI: 10.1007/978-981-15-5616-6_10.

  4. Mandal A.K. , R. Sen, S. Goswami, A. Chakrabarti, B. Chakraborty. (2020). New Approach for Feature Subset Selection using Quantum inspired Owl Search Algorithm. 10th IEEE International Conference on Information Science and Technology (ICIST), London, UK, pp. 266-273. DOI:10.1109 ICIST49303.2020.9202140.

  5. Mandal A. K., Sen R., Chakraborty B.Binary Owl Search Algorithm for Feature Subset Selection. (2019). IEEE 10th International Conference on Awareness Science and Technology (iCAST), Japan, pp. 1-6, DOI: 10.1109/ICAwST.2019.8923486.

  6. Sen R., Mandal A. K., Goswami S., Chakraborty B.  (2020). A Comparative Study of the Stability of Filter based Feature Selection Algorithms. . 10th IEEE International Conference on Awareness Science and Technology (iCAST), Japan pp. 1-6, DOI: 10.1109/ICAwST.2019.8923245.

  7. Sen R., Sarkar A. K., Mandal A. K., Paul L. C. (2018). The Analysis of EM Absorption on Biological Tissue due to RF Radiation Measured Inside the Enclosed Metallic Chamber. International Conference on Innovation in Engineering and Technology (ICIET), Bangladesh, pp. 1-5, DOI: 10.1109/CIET.2018.8660926

  8. Mandal A. K., Kahar M.N.M. (2015). Combination of graph heuristic with hill climbing search for solving capacitated examination timetabling problem. 4th IEEE International Conference on Software Engineering and Computer Systems (ICSECS), Malaysia, pp. 118-123, DOI: 10.1109/IC-SECS.2015.7333095.

  9. Mandal A. K., Kahar M.N.M. (2015). Solving Examination Time-tabling Problem Using Partial Exam Assignment with Great Deluge Algorithm. 2nd IEEE International Conference on Computer, Communications, and Control Technology (I4CT), Malaysia, pp. 530-534, DOI: 10.1109/I4CT.2015.7219635.

  10. Mandal A. K., Kahar M.N.M. (2015). Solving Examination Time-tabling Problem using partial exam assignment with Hill Climbing Search. IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE), Malaysia, pp. 84-89, DOI: 10.1109/ISCAIE.2015.7298333.

  11. Mandal  A. K.,  Kahar M. N. M. 2015. "An Energy-aware Resource Management Scheme of Data Centres for Eco-friendly Cloud Computing", National Conference on Postgraduate Research 2015 (NCON-PGR 2015), Universiti Malaysia Pahang (UMP), Kuantan Pahang, Malaysia.

  12. Kahar M.N.M. ,  Mandal  A. K. ,  Hao L. J. , Musa Z. ,  Bakar  B. A. and  Kadir T. A. A. 2014. "A Combination of Graph Heuristics with Hill Climbing Method to Solve the Examination Timetabling Problem", IEEE Symposium on Computers and Informatics, September 2014, Kota Kinabalu, Malaysia, pp. 87-90.

  13. Islam M. R., Siddiqa A., Palash Uddin Md., Mandal A. K., Hossain M. D. (2014). An efficient filtering based approach improving LSB image steganography using status bit along with AES cryptography. International Conference on Informatics, Electronics & Vision (ICIEV), Bangladesh, pp. 1-6, DOI: 10.1109/ICIEV.2014.6850714.

  14. Mandal A. K., Kaosar M., Islam M. O., Hossain M. D. (2014). An approach for enhancing message security in audio steganography. 16th Int’l Conf. Computer and Information Technology, pp. 383- 388, DOI: 10.1109/ICCITechn.2014.6997310.

  15. Islam M. O., Mandal A. K., Hossain M. D. (2011). ThirdHand: A novel and cost-effective HCI for physically handicapped people1. 4th International Conference on Computer and Information Technology (ICCIT 2011), 2011, pp. 134-138. DOI:10.1109/ICCITechn.2011.6164888.


  1. B. Chakraborty, R. Sen and A. K. Mandal. 2020. “A Survey on Machine Learning Techniques for THz Image Analysis”, in Amit Banerjee, Basabi Chakraborty, Hiroshi Inokawa and Jitendra Roy,  Terahertz Biomedical and Healthcare Technologies, ELSEVIER. DOI: 10.1016/B978-0-12-818556-8.00009-4.


  1. President’s Award

    Funded by: Iwate Prefectural University, Iwate, Japan, 2022

  2. Japanese Government (Monbukagakusho: MEXT) Scholarship for PhD study

    Funded by: The Government of Japan, October 2018- March 2022

  3. ICT Fellowship for Master of Computer Science

    Funded by: ICT Division, Govt. of the People's Republic of Bangladesh, 2015-2016

  4. Graduate Research Scholarship (GRS) for Master of Computer Science study

    Funded by: University Malaysia Pahang, Malaysia, 2014-2015

  5. Merit Scholarship

    Funded by: Shahjalal University of Science and Technology, 2004-2005

  6. Junior High School Government Scholarship (1996)

    Funded by: Bangladesh Government


  1. A Filter wrapper based Feature selection strategy on classification of High-dimensional Low Sam- pling Biological Data

    Funded by: IRT, Hajee Mohammad Danesh Science and Technology University, Bangladesh.(July 2022–June 2023)

    Position: Principle Investigator

    Description: Running

  2. Development of Fast and Highly Effective Feature Subset Selection Algorithms based on Novel Integration of Quantum Computing and Machine Learning

    Funded by: Japan Society of Promotion of Science (JSPS) KAKEN C. (April 2020– March 2023)

    Position: Research Collaborator

    Description: Running

  3. Analysis and Optimization of Examination Timeline Problems Based on Partial Graph Heuristics Algorithm

    Funded by: PGRS grant, University Malaysia Pahang, Malaysia. (October 2014– November 2016)

    Position: Member

    Description: Completed