Dr. Mohammad Monir Uddin | North South University

Associate Professor

Ph.D. (in Mathematics), Max-Planck Institute, Magdeburg, Germany
M.Sc. (in Applied Mathematics), Stockholm University, Stockholm, Sweden

Phone: +880-2-55668200 ( Ext: 6212)

Email: monir.uddin@northsouth.edu

Office : SAC - 1025, North South University, Bashundhara, Dhaka - 1229, Bangladesh

Curriculum Vitae (click over)

Important Link : Google Scholar, ORCID, SCOPUS

Personal Link: Dr. Mohammad Monir Uddin

Career

since 5/2019	Associate Professor, Department of Mathematics & Physics, North South University
8/2015 - 5/2019	Assistant Professor, Department of Mathematics & Physics, North South University
5/2015 - 8/2015	Assistant Professor, Department of Mathematics, American International University, Bangladesh (AIUB)
8/2011 - 4/2015	Ph.D. student and member of IMPRS, Max Plank Institute for Dynamics and Complex Technical Systems, Magdeburg, Germany
10/2008 - 4/2011	Masters in Applied Mathematics, Department of Mathematics, Stockholm University, Sweden
5/2010 - 2/2011	Research Associate, Dept. Of Mathematics, Chemnitz University of Technology, Chemnitz, Germany
3/2006 - 10/2008	Lecturer in Mathematics, Dept. of Natural Science, Stamford University, Bangladesh
1/1998 - 12/2005	Masters and B.Sc. in Mathematics, Dept. of Mathematics, University of Chittagong, Chittagong

Education

2015	Ph.D. in Mathematics at Max-Planck-Institute, Magdeburg, Germany
2011	Master of Science in Applied Mathematics at Stockholm University, Stockholm, Sweden
2003	Master of Science in Pure Mathematics at Chittagong University, Chittagong, Bangladesh
2001	Bachelor of Science in Mathematics at Chittagong University, Chittagong, Bangladesh
1996	Higher Secondary School Certificate (HSC), Chittagong College, Chittagong
1994	Secondary School Certificate (SSC), Musapur Hazi A. B. High School, Sandwip, Chittagong

Research Interest

Numerical Linear Algebra
Model Order Reduction
Systems and Control Theory
Iterative Methods for Large Sparse Matrix Equations
Scientific Computing
Algorithms and Software
Deep Learning
Artificial Intelligence

Publications and Links

Book # 1, Journal # 30, Conference # 30

(See the details in Publication-Page)

Google Scholar: Citations 827, H-index 13, Link Click Here
SCOPUS: Citations 321, H-index 7, Link Click Here
Github: Click Here
Linked In: Click Here

Model-order Reduction (MOR)

The motivation of MOR is detected in the above picture. Nowadays, computer-based simulation is considered the quintessential approach to exploring new ideas in the different disciplines of science and engineering. To perform a simulation, one must convert a physical model into a mathematical one. Computer memory limitations sometimes make The generated systems too large to store. To circumvent these complexities, we need to approximate the higher-dimensional system with a substantially lower-dimensional system. The way to achieve this is to use Model Order Reduction (MOR) techniques. In recent years, Model Order Reduction (MOR) has become one of the most fascinating research areas in the different Science, Engineering, and Technology branches. The demand for MOR is increasing since modern science and technology heavily rely on simulation-based work.

This area of research focuses on the following topics.

Various MOR techniques of Large-scale Sparse Descriptor Systems
Computational techniques for solving Matrix Equations (Lyapunov, Sylvesters, and Riccati equation)
Modeling and Optimization of LTI Systems
MOR of Bi-linear Systems
Data-Driven MOR
Frequency and Time restricted MOR of Large-scale systems

Some Publications:

Computational Methods for Approximation of Large-Scale Dynamical Systems (Book), CRC Press (2019)
Structure preserving model order reduction of a class of second-order descriptor systems via balanced truncation. Applied Numerical Mathematics, 2020.
Gramian-based model-order reduction of constrained structural dynamic systems. IET Control Theory & Applications, 2018.
Balancing-based model reduction for structured index-2 unstable descriptor systems with application to flow control. Numerical Algebra, Control and Optimization, 2016.

See more on the Publication page.

Position Open:

PhD and Masters Thesis
Graduate and Undergraduate Projects

Deep Learning (DL)

Artificial intelligence (AI) has recently become a fascinating research area due to its applications in different disciplines. Here, the research focuses on the application of AI to Medical Data. The research aims to collect data, preprocess it, and develop a Machine Learning (ML) Model to find the abnormality. The research also focuses on creating an AI-based diagnosis technology that detects abnormalities from medical images/data. See the developed technology, DIAGNO-TECH-AI details.

This area of research focuses on the following topics.

Data preprocessing
Model Efficiency
Neural Network Architecture
Image Processing and analysis
Applications

Some Publications:

Topology‐aware anatomical segmentation of the Circle of Willis: HUNet unveils the vascular network, IET Image Processing, 2024
Estimating blood pressure from the photoplethysmography signal and demographic features using machine learning techniques, Sensors, 2020
From pixels to pathology: A novel dual-pathway multi-scale hierarchical upsampling network for MRI-based prostate zonal segmentation, Intelligent Systems with Applications, 2024
A novel non-invasive estimation of respiration rate from motion corrupted photoplethysmograph signal using machine learning model, IEEE Access, 2021

See more on the Publication page.

Position Open:

Graduate and Undergraduate Projects

Books

M. M. Uddin: Computational Methods for Approximation of Large-Scale Dynamical Systems (1st Edition). CRC Press (Taylor and Francis Group), New York.

2019

doi

M. M. Uddin: Matrix Algebra for Engineering, Data Science, and Machine Learning

2024

Coming Soon

Journal Papers (30+)

"Please remember the following text: Sequencing by year." Click on doi to find the link to the paper, and click on git to find related data and code.

1.	M. M. Uddin, J. Saak, B. Kranz, P. Benner: Computation of a compact state space model for an adaptive spindle head configuration with piezo actuators using balanced truncation, Production Engineering (Springer), Vol. 6, P. 577-586.	2012	doi Github
2.	P. Benner, B. Kranz, J. Saak, M. M. Uddin: Efficient Reduced Order State Space Model Computation for a Class of Second Order Index One Systems. Appl. Math. Mech. (PAMM) (Wiley), Vol. 12, P. 699-700.	2012	doi Github
3.	P. Benner, B. Kranz, J. Saak, M. M. Uddin: Balancing based model reduction for structured index-2 unstable descriptor systems with application to flow control, Numerical Algebra Control and Optimization (AIMS), Vol. 6, P. 1-20	2016	doi Github
4.	P. Benner, B. Kranz, J. Saak, M. M. Uddin: Structure preserving model order reduction of large sparse second-order index-1 systems and application to a mechatronics model , Mathematical and Computer Modelling of Dynamical Systems (Taylor & Francis), Vol. 22, P. 509 - 523	2016	doi Github
5.	Mohammad-Sahadet Hossain, M. M. Uddin: Efficient techniques for solving the periodic projected Lyapunov equations and model reduction of periodic systems. Mathematical Problems in Engineering (Hindawi/Wiley), Vol. 2017, P. 1 - 11	2017	doi Github
6.	M. M. Uddin: Gramian‐based model‐order reduction of constrained structural dynamic systems. IET Control Theory & Applications, Vol. 12, P. 2337-2346	2018	doi Github
7.	S Hasan, M. M. Uddin: Model reduction of structured dynamical systems by projecting onto the dominant eigenspace of the Gramians . Journal of Modeling and Optimization, Vol. 10, P. 94-103	2018	doi Github
8.	M. Sumon Hossain and M. M. Uddin : Iterative methods for solving large sparse Lyapunov equations and application to model reduction of index 1 differential-algebraic-equations. Numerical Algebra, Control and Optimization (AIMS), Vol. 9, P. 173 -186	2019	doi Github
9.	M. H. Chowdhury, M. N. I. Shuzan, M. E. H. Chowdhury, Z. B. Mahbub, M. M. Uddin: Estimating blood pressure from the photoplethysmogram signal and demographic features using machine learning techniques . Sensors, Vol. 20, P. 3127	2020	doi Github
	M. M. Uddin: Structure preserving model order reduction of a class of second-order descriptor systems via balanced truncation . Applied Numerical Mathematics (Elsevier), Vol. 152, P. 185-198	2020	doi Github
11.	M Uddin, M. M. Uddin, MAH Khan, Effect of shift parameters in rational Krylov subspace method for solving Riccati equations arise from power system models . Int. J. Mat. Math. Vol. 3, P. 43-49	2021	doi Github
12.	MM Rahman, M Uddin, M. M. Uddin, LS Andallah: SVD-Krylov based techniques for structure-preserving reduced order modeling of second-order systems. Mathematical Modelling and Control, Vol. 1, P. 79-89	2021	doi Github
13.	M. Uddin, M. M. Uddin, MAH Khan, M.T. Hossain, LS Andallah: SVD-Krylov based sparsity-preserving techniques for Riccati-based feedback stabilization of unstable power system models. Journal of Engineering Advancements, Vol. 2, P. 125-131	2021	doi Github
14.	M. Uddin, M. M. Uddin, MAH Khan: Computationally efficient optimal control for unstable power system models. Mathematical Problems in Engineering, Vol. 2021 (1), P. 8071869	2021	doi Github
15.	Motlubar Rahman, M. M. Uddin, L. S. Andallah, and Mahtab Uddin: Tangential interpolatory projections for a class of second-order index-1 descriptor systems and application to mechatronics. Production Engineering, Vol. 15, P. 9-19	2021	doi Github
16.	X. Du, K. I. Iqbal, M. M. Uddin, A. M. Fony, Md. T. Hossain, M. I. Ahmad and M. S. Hossain: Computational techniques for H2 optimal frequency-limited model order reduction of large-scale sparse linear systems. Journal of Computational Science, Vol. 55, P. 101473	2021	doi Github
17.	Md. Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Md. Shafayet Hossain, Muhammad E. H. Chowdhury, Mamun Ibne Reaz, M. M. Uddin, Amith Khandakar Zaid Bin Mahbub, Sawal Hamid Md. Ali: A novel non-invasive estimation of respiration rate from motion corrupted photoplethysmograph signal using machine learning model. IEEE Access, Vol. 9, P. 96775-96790	2021	doi Github
18.	K. I. B. Iqbal, X. Du, M. M. Uddin, M. Forhad Uddin: Balanced truncation for reduced‐order modeling of Piezoelectric Tonpilz Transducer on the limited frequency interval. Applied Mathematical Modelling, Vol. 111, P. 63-77	2022	doi Github
19.	Xin Du, M. M. Uddin, A. Mostakim Fony, Md. Tanzim Hossain and Md. Nazmul Islam Shuzon: Iterative Rational Krylov Algorithms for model reduction of a class of constrained structural dynamic systems with Engineering applications. Numerical Algebra, Control & Optimization, Vol. 12 (3), P. 481-493	2022	doi Github
20.	MS Islam, KIB Iqbal, M Saiduzzaman, M. M. Uddin, MO Gani: Generation of the mathematical model to analyze the dynamical behavior of the blood flow. Journal of Interdisciplinary Mathematics, Vol. 25 (7), P. 2019-2027	2022	doi Github
21.	M. N. Murshed, M. M. Uddin: Towards an adaptive dynamic mode decomposition. Results in Control and Optimization, Vol. 6, P. 100076	2022	doi Github
22.	M. Saiduzzaman, M. S. Islam, M. M. Uddin, M. O. Gani: Comparative c using rational Krylov subspace method. Journal of Interdisciplinary Mathematics, Vol. 25, P.1971-1978	2022	doi Github
23.	M. T. Islam, M Uddin, M. M. Uddin, MAH Khan, MT Hossain: Sparsity‐Preserving Two‐Sided Iterative Algorithm for Riccati‐Based Boundary Feedback Stabilization of the Incompressible Navier–Stokes Flow. Mathematical Problems in Engineering, Vol. 2022 (1), P. 4435167	2022	doi Github
24.	A. Hossain, S Uddin, P Rahman, MJ Anee, MMH Rifat, M. M. Uddin: Wavelet and spectral analysis of normal and abnormal heart sound for diagnosing cardiac disorders, BioMed Research International, Vol. 2022 (1), P. 9092346	2022	doi Github
25.	MNE Mostafa, EMM Alam, M. M. Uddin: Numerical analysis of cavitating flow on hydrofoil, MIST International Journal of Science and Technology, Vol. 10, P. 11-19	2022	doi Github
26.	M. Uddin, M. M. Uddin, M. A. H. Khan: SVD-Krylov-based sparsity-preserving techniques to optimally stabilize the incompressible Navier–Stokes flows, International Journal of Dynamics and Control, Vol. 11 (6), P. 2763-2773	2022	doi Github
27.	X Du, KIB Iqbal, M. M. Uddin, MT Hossain, MNI Shuzan: A computationally effective time-restricted stability preserving H2-optimal model order reduction approach, Results in Control and Optimization, Vol. 11, P. 100217	2023	doi Github
28.	M. N. I. Shuzan, M. E. H. Chowdhury, M. B. I. Reaz, A. Khandakar, F. F. Abir, M. A. A. Faisal, S. H. M. Ali, A. A. A. Bakar, M. H. Chowdhury, Z. B. Mahbub, M. M. Uddin, M. Alhatou: Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals. Biomedical Signal Processing and Control, Vol. 81, P. 104448	2023	doi Github
29.	M. Hossain, K. I. B. Iqbal, A. Haque, M. M. Uddin, M. S. Hossain: Efficient aerodynamic design using BézierGAN and model order reduction: A computational study, Results in Engineering, Vol. 23, P. 102571	2023	doi Github
30.	K. S. Sanjid, M. S. S Junayed, M. T. Hossain, Y. L. Wang, M. M. Uddin, S. A. Haque: From pixels to pathology: A novel dual-pathway multi-scale hierarchical upsampling network for mri-based prostate zonal segmentation, Intelligent Systems with Applications, Vol. 22, P. 200382	2024	doi Github
31.	M. Uddin, M. M. Uddin, M.A.H. Khan: Memory-Efficient Interpolatory Projection Techniques for the Stabilization of Incompressible Navier-Stokes Flows. Contemporary Mathematics, Vol. 5, P. 913-929	2024	doi Github
32.	M.S.S .Junayed, K.S. Sanjid, M.T. Hossain, M. M. Uddin, S. A. Haque: Topology‐aware anatomical segmentation of the Circle of Willis: HUNet unveils the vascular network. IET Image Processing, Vol. , P.	2024	doi Github
33

Conference Papers

1.	P. Benner, J. Saak, and M. M. Uddin: Second order to second order balancing for index-1 vibrational systems. 2012 7th International Conference on Electrical and Computer Engineering (ICECE).	2012	doi
2.	J. Saak, M. M. Uddin, and M. Voigt: Modellreduktion für strukturierte Index-3-Systeme. Tagungsband des GMA-Fachausschusses 1.30 "Modellbildung, Identifikation und Simulation in der Automatisierungstechnik, Pages 180–190, 2013	2013	doi
3.	P. Benner, J. Saak, and M. M. Uddin: Reduced-order modeling of index-1 vibrational systems using interpolatory projections. 2016 19th International Conference on Computer and Information Technology (ICCIT).	2016	doi
4.	M. M. Uddin, M. Sumon Hossain, and M. Forhad Uddin: Rational krylov subspace method (rksm) for solving the lyapunov equations of index-1 descriptor systems and application to balancing based model reduction. 2016 9th International Conference on Electrical and Computer Engineering (ICECE).	2016	doi
5.	M. M. Uddin: Structure preserving model order reduction using the projection onto the dominant eigen-space of the gramian (PDEG) 2017 International Conference on Electrical, Computer and Communication Engineering (ECCE).	2017	doi
6.	S. Hasan and M. M. Uddin: Solution of Large-Scale Lyapunov Matrix Equations for PDEG Based Model Reduction of Structured Dynamical Systems. 2017 International Conference on Computing, Communication and Sensor Networks (CCSN).	2017	doi
7.	E. H. Khan, M. S. Hossain, S. G. Omar, A. Tahsin, and M. M. Uddin: K-cyclic Smith iterative method for model reduction of index-2 periodic control systems. 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET). (Publisher: IEEE)	2018	doi
8.	M. N. Murshed and M. M. Uddin: Time delay coordinate based dynamic mode decomposition of a compressible signal. 22nd International Conference on Computer and Information Technology (ICCIT). (Publisher: IEEE)	2019	doi
9.	A. Javed, M. Zaman, M. M. Uddin, Tva Nusrat: An analysis on python programming language demand and its recent trend in bangladesh. 8th International Conference on Computing and Pattern Recognition. (Publisher: IEEE)	2019	doi
10.	M. Uddin, M.A. Hakim Khan, and M. M. Uddin: Riccati-based optimal control for linear quadratic regulator problems. 2019 5th International Conference on Advances in Electrical Engineering (ICAEE). (Publisher: IEEE)	2019	doi
11.	M. Uddin, M. A. Hakim Khan, and M. M. Uddin: Efficient computation of Riccati-based optimal control for power system models. 2019 22nd International Conference on Computer and Information Technology (ICCIT), (Publisher: IEEE)	2019	doi
12.	S. Hasan, A. M. Fony, and M. M. Uddin: Reduced model-based feedback stabilization of large-scale sparse power system model. International Conference on Electrical, Computer and Communication Engineering (ECCE), (Publisher: IEEE)	2019	doi
13.	S. Amir, M. S. Kamal, M. M. Uddin, and K. M. A. Salam: Optimal Control of Sensor Based Human Arm Motion and Gesture Replication System. IEEE 10th Control and System Graduate Research Colloquium (ICSGRC). (Publisher: IEEE)	2019	doi
14.	B. C. Das, M. Begum, M. M. Uddin, M. M. Rahman: Conic programming approach to reduce congestion ratio in communications network. International Conference on Cyber Security and Computer Science. (Publisher: Springer)	2020	doi
15.	K. I. B. Iqbal, M. M. Uddin, M. F. Uddin: Stability preservation of frequency-limited balancing based reduced order model of large scale index-1 descriptor system. 11th International Conference on Electrical and Computer Engineering (ICECE).	2020	doi
16.	K. I. B. Iqbal, M. M. Uddin, M. F. Uddin: In search of frequency-limited low-rank Gramian factors for the balancing based model reduction of large-scale sparse descriptor system. 23rd International Conference on Computer and Information Technology (ICCIT).	2020	doi
17.	M. N. Murshed, M. M. Uddin: Low-rank approximation of the turbulent channel flow by filter-reinforced Dynamic Mode Decomposition. 23rd International Conference on Computer and Information Technology	2020	doi
18.	M. N. Murshed, Z. Subah, M. M. Uddin: Data Assimilation: Two Different Perspectives Based on the Initial-Condition Dependence. 2021 International Conference on Information and Communication Technology	2021	doi
19.	M. N. Murshed, M. H. Chowdhury, M. N. I. Shuzan, M. M. Uddin: Towards an improved eigensystem realization algorithm for low-error guarantees. Proceedings of International Joint Conference on Advances in Computational	2021	doi
20.	K. I. B. Iqbal, X. Du, M. M. Uddin, M. F. Uddin: Time restricted balanced truncation for index-I descriptor systems with non-homogeneous initial condition. Proceedings of International Joint Conference on Advances in Computational.	2021	doi
21.	A Javed, MS Mahmud, MT Alam, MFB Ohab, Khandakar Ratul Ali, Abdullah Al Jobaer, M. M. Uddin: Pothole detection system using region-based convolutional neural network. IEEE 4th International Conference on Computer and Communication	2021	doi
22.	M Saiduzzaman, MS Islam, KIB Iqbal, M. M. Uddin, MO Gani: Frequency Limited Model Reduction for Large Scale Second-Order Index 1 system. 25th International Conference on Computer and Information Technology.	2022	doi
23.	M. Uddin, M. T. Islam, M. M. Uddin, M. A. H. Khan: Riccati-based feedback stabilization of incompressible Navier-Stokes models via reduced-order modelling by iterative rational Krylov algorithm. 25th International Conference on Computer and Information Technology	2022	doi
24.	A. Haque, T. Hossain, M. N. Murshed, K. I. B. Iqbal, M. M. Uddin: Estimating aerodynamic data via supervised learning. 2022 25th International Conference on Computer and Information Technology.	2022	doi
25	K. H. Prodhan, I. A. Amin, A. J. Das, M. M. Uddin: Bone Marrow Classification Using Hematologic Malignancies Dataset. 2023 26th International Conference on Computer and Information Technology	2023	doi
26.	MT Hossain, MSS Junayed, KS Sanjid, AH Rohan, MA Khan, SA Haque, M. M. Uddin: Automated segmentation of multiple sclerosis lesions using deep learning. 2023 26th International Conference on Computer and Information Technology.	2023	doi
27.	T Hossain, R Rahman, WU Navid, MT Alam, AK Azad, M. M. Uddin: Predicting Death from Heart Disease: A Comparative Analysis of Machine Learning Algorithms. 2023 26th International Conference on Computer and Information Technology.	2023	doi

Thesis

1.	PhD Thesis: Computational Methods for Model Reduction of Large-Scale Sparse Structured Descriptor Systems PhD thesis, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.	2015	*doi*
2.	Master's Thesis: Model Reduction for Piezo-Mechanical System using Balanced Trancation . Master’s thesis, Stockholms University, Stockholm, Sweden.	2011	*doi*

Invited Talks/Lectures

8 Oct 2024	Introduction to Research Methods: A Practical Guide, IEEE Day 2024, NSU, Bangladesh
30 Sep 2024	Live Demo Session: “Transforming Medical Education: A Live Demo of the AI-Powered Applied Learning Platform, Poised to Achieve Global Standards”. International Conference on Accreditationfor Quality Medicle Education. Dhaka, Bangladesh
5 Jan 2024	Computational Methods for Model Order Reduction of Large-Scale Sparse Descriptor Systems. Shanxi University, Taiyuan, China
25 Dec 2023	Model Order Reduction of Large-Scale Sparse Descriptor Systems. Yangtze University, Jingzhou, China
(12-23) Jun 2023	Numerical Linear Algebra in Engineering and Data Science. International Summer Program, Shanghai University, China
(13-14) Jan 2023	Recent Updates on Model Order Reduction of Large-Scale Descriptor Systems. A F Mujibur Rahman-Bangladesh Mathematical Society National Mathematical Conference 2022, Jahangir Nagar University, Dhaka
(13-25) Jun 2022	Numerical Linear Algebra with Application in Engineering and Data Science. International Summer Program, Shanghai University, China
(21 Jun-2 Jul) 2021	Linear Algebra and Linear Control Systems. International Summer Program, Shanghai University, China
(14-24) Apr 2020	Linear Algebra and Linear Control Systems. International Summer Program, Shanghai University, China

Contributory Talks

25-26 Oct 2019	Computational Techniques for Structure-Preserving Model Reduction of Constrain Dynamical Models. International Joint Conference on Computational Intelligence, University of Liberal Arts Bangladesh 2019
07-09 February 2019	Reduced Model-Based Feedback Stabilization of Large-scale Sparse Power System Model. International Conference on Electrical, Computer, and Communication Engineering (ECCE ) 2019, Cox's Bazar, Bangladesh
16-18 Feb 2017	Structure preserving model order reduction using the projection onto the dominant Eigen-space of the Gramian (PDEG), International Conference on Electrical, Computer and Communication Engineering (ECCE ) 2017, Cox's Bazar, Bangladesh
20-22 Decem 2016	**Rational Krylov subspace method (RKSM) for solving the Lyapunov equations of index-1 descriptor systems and application to balancing-based model reduction**, 9th International Conference on Electrical and Computer Engineering (ICECE) 2016, Dhaka, Bangladesh
18-20 December 2016	*Reduced-order modeling of index-1 vibrational systems using* interpolatory projections, 19th International Conference On Computer and Information Technology (ICCIT) 2016, Dhaka, Bangladesh
18-20 December 2015	Two Competitive Techniques for Reduced State Space Modeling of Time-Invariant Large-Scale Continuous-Time stems, 19th International Math Conference 2015, Dhaka, Bangladesh.
23-25 April, 2014	Balancing Based Model Reduction of Unstable Descriptor Systems, 7th IMPRS Workshop 2014, Wernigerode, Germany;
23-25 April, 2014	Dimension Reduction of Large-Sparse Second Order Descriptor Systems, 6th IMPRS Workshop 2013, Wittenberg, Germany; 8-9 April, 2013.
23-25 April, 2014	Second Order to Second Order Balancing for Index-1 Vibrational Systems, 7th International Conference on Electrical & Computer Engineering (ICECE), Dhaka, Bangladesh; 20-22 December 2012.
23-25 April, 2014	Efficient Methods for Reduced Order State Space Modeling of Piezo-Mechanical Systems” GAMM Work-shops 2012: Dynamics and Control, Anif/Salzburg, Austria, 18-21 September 2012.
23-25 April, 2014	3rd Symposium of the German SIAM Student Chapters, MPI Magdeburg, Germany, 18-19 August 2014.
23-25 April, 2014	Model Reduction of Mechanical Systems with Piezo Actuators Using Balanced Truncation, CSC seminar, MPI Magdeburg, Magdeburg, Germany, 07 February 2012.
23-25 April, 2014	Model Reduction for Piezo-mechanical Systems Using Balanced Truncation, Stockholm University, Stock-holm, Sweden, 29 April, 2011.

Participation in Conferences, Workshops, and Summer School

18-19 August 2014	3rd Symposium of the German SIAM Student Chapters, MPI Magdeburg, Germany
11-13 December 2013	Model Reduction of Complex Dynamical Systems 2013, MPI-Magdeburg, Germany
02-06 September 2011	3rd Summer School of the IMPRS Magdeburg for Analysis, Design, and Optimization in Chemical and Bio-chemical Process Engineering on MULTISCALE MODELING AND SIMULATION”, Magdeburg, Germany
6-9 May 2012	Workshop on Non-linear Model Order Reduction 2012, Schloss Ringberg Tegernsee, Germany
11-17 March 2012	4th Elgersburg School 2012 on systems and control theory and its applications, Eldersburg, Germany
26-30 September 2011	2nd summer school of the IMPRS ProEng on large-scale networks and Engineering and life science, Magdeburg, Germany

Poster Presentation

16-18 Feb, 2017	M. M. Uddin, Structure preserving model order reduction using the projection onto the dominant Eigen-space of the Gramian (PDEG), International conference on Electrical, Computer and Communication Engineering (ECCE ) 2017, Cox's Bazar, Bangladesh
June 2014	M. I. Ahmad, J. Saak, M. M. Uddin, and M. Voigt, Model Order Reduction for Structured Second Or-der DAE System, Workshop on Non-linear Model Order Reduction 2014, Schloss Ringberg gernsee, Germany
June 2014	J. Saak, and M. M. Uddin, Balanced Truncation for unstable linearized Navier-Stokes Systems, Workshop on Non-linear Model Order Reduction 2014, Schloss Ringberg Tegernsee, Germany

Courses for summer 2024

Mat 125: Sections 2, 3, 7
Mat 250: Sections 4, 5
Mat350: Sections 9, 10
CSE 498: Section

Office-hour Summer 2024

Day	Time
RA	2:00-4:00 pm
MW	2:00-4:00 pm
ST	2:00-4:00 pm

CSE 498 Project (Summer 24)

Title: Automated Classification of ECG Signals Using Deep Learning
Researchers: Kazi Shahriar Sanjid, Md. Shakib Shahariar, and Md. Nishan Khan

Teaching Interest

Undergraduate Maths: calculus, Linear algebra, Differential Equations (ODE and PDE), Probability, Numerical methods, etc.
Advanced Maths: Numerical Linear Algebra, Control Theory, Optimization, Model Order Reduction (MOR), etc.
Machine Learning: Data Science, Statistical Methods, Deep Learning etc.
Applications: Mathematical Modeling, Computational Biology, Image Processing, etc.
Programing: Matlab, Python, R programing etc.

Current Project

Project ID

Title

Funding Info

Outcomes

CTRG-23-SEPS-28

Optimization of the Bilinear Control System by Model Order Reduction Technique

NSU-CTRG, North South University (NSU)

BDT : 500,000 (for one year)

started from January 2024

On Going

Completed Project

Project ID	Title	Funding Info	Outcomes
MS20191055	Developing Mathematical Algorithms and Software for the Model Reduction of Large-Scale Dynamical Systems	Ministry of Education, Bangladesh BDT : 150,0000 from 2020-2022 (three years)
CTRG-22-SEPS-06	Development of Efficient Algorithms to optimize the Solar Thermal state of the Photo- voltaic Panel by analyzing the generated dynamic mathematical model	NSU-CTRG, North South University (NSU) BDT : 500,000 (for one year) January-December 2023
CTRG-21-SEPS-15	Model Order Reduction for Aircraft Wing Shape Optimization	NSU-CTRG, North South University (NSU) BDT : 500,000 (for one year) January-December 2022
CTRG-20-SEPS-20	Approximation of large-scale dynamical system over a Limited Time Interval	NSU-CTRG, North South University (NSU) BDT : 500,000 (for one year) January-December 2021
IAR/01/19/SE/18	Computation of Optimal Control for Differential-Algebraic Equations (DAE) with Engineer- ing Applications	Institute of Advance Research, United International University BDT : 400,000 (for one & half-year) October 01, 2019 to April 2021
CTRG-20-SEPS-20	Structure-Preserving Model Reduction of Large-Scale Second-Order Dynamical Systems Using the PDEG Method and Application to Some Real Problems	NSU-CTRG, North South University (NSU) BDT : 480,000 (for one year) January-December 2021
k345509	Computational Methods for Approximation of Large-Scale Descriptor Systems	CRC Press (Taylor & Francis Group) Non-funded March 2017-February2019

To the University

2021-2023: CPC (Career Placement Center) Coordinator for SEPS (School of Engineering and Physical Science) at NSU
Since 2022: Member of NSU-SEPS Scientific Review Committee
Since 2020: NSU Graduate Program Coordinator
2020-2023: Coordinator of Biweekly Colloquium for the Department of Mathematics and Physics, NSU
Since 2016: Coordinator of Mat125 (Linear Algebra) for the Department of Mathematics and Physics, NSU

To the Community

Guest Editor of a special issue titled: Numerical Linear Algebra for Large-Scale Dynamical Systems of AIMS - Mathematical Biosciences and Engineering, 2020
Editorial Board Member, Journal of Applied Mathematics and Computation, Since 2019
Reviewing internationally renowned journals
Session Co-Chair (ICFS – 2022), Buet, 11 November 2022
Session Chair 1st National Conference on Advances in Science and Technology, Faculty of Science, Buet, 7-8 December 2023
Session Co-Chair (ICCE – 2019), Coxs Bazar, 7-9 February 2019
Chair Panel Session in SUSCOM 2022, 6-7 Aug 2022, IUBET
IPC Local Chairs, LSMS2024 & ICSEE2024 September 13-15 2024, Suzhou, China

Membership

Since 2021: Asian Simulation Societies (ASIASIM)
Since 2020: Life member of the Alumni Association of German University Bangladesh (AAGUB)
Since 2020: Life member of Chittagong University Math Alumni Association (CUMAA)
2012 - 2015: Member of International Max-Plank Research School (IMPRS), Magdeburg Germany
2012 - 2015: Member of Society of Industrial and Applied Mathematics (SIAM) Student- Chapter, Magdeburg, Germany
2013 - 2014: SIAM academic member, Philadelphia USA
2012 - 2015: Member of Magdeburg International PhD Students Magdeburg, Germany
2013 - 2015: Member of Matrix Equations Team at MPI Magdeburg, Magdeburg, Germany

Current PhD Students

Name	Research Title	Current Position
Md.Shafiqul Islam	Structure-Preserving Model Order Reduction	shafiqul.islam@iubat.edu
Md.Saiduzzaman	Frequency and time-restricted Model Order Reduction	zaman@iubat.edu
Mr. Mahtab Uddin	Riccati Based Feedback Control, Model Order Reduction	mahtab@ins.uiu.ac.bd

Current Masters Students

Name	Research Title	Current Position
Md. Jobaer Rahman	Model Reduction of Bi-Linear Descriptor Systems	jbrrahman6@gmail.com

Current Undergraduate Students

Name	Research Title	Current Position
Tanzim Hossain	Computer Vision, Deep learning, Bio-medical Image	tanzim.hossain@northsouth.edu
Kazi Shahriar Sanjid	Computer vision, Deep learning, Bio-Medical image	kazi.sanjid@northsouth.edu
Md. Shakib Shahariar	Computer vision, Deep learning, Bio-Medical image	shakib.junayed@northsouth.edu
Istiak Ahmed	Computer vision, Deep learning, Bio-Medical image	istiak.ahmed1@northsouth.edu
Md. Nishan Khan	Computer vision, Deep learning, Bio-Medical image	nishan.khan@northsouth.edu

Internal and External Collaboration

Name	Institute	Research Area
Prof. Dr. Xin Du	National Natural Science Foundation of China"(NSFC), Beijing, China	Frequency-Limited Model Reduction of Large-Scale System
Prof. Dr. Mian Ilyas Ahmad	National University of Sciences and Technology, Islamabad	Model Reduction, Numerical Methods and System Identification
Dr. Umair Zulfiqar	Yangtze University, Jingzhou, China	Frequency-Limited Model Reduction of Large-Scale System
Prof. Dr. Zhi-Hua Xiao	Yangtze University, Jingzhou, China	Model Order Reduction (MOR)
Prof. Dr. Liang Du	Shanxi University, Taiyuan, China	Data Mining, Machine Learning
Prof. Dr. Mohammad Sahadet Hossain	North South University, Bangladesh	Model Order Reduction (MOR) of Periodic Systems
Prof. Dr. Md Abdul Hakim Khan	Bangladesh University of Engineering Technology (BUET)	Numerical methods, CFD
Dr. Sumon Hossain	North South University, Bangladesh	Numerical Linear Algebra, Model order Reduction, System and Control
Dr. Nasir M. Uddin	University of South Florida, USA	Artificial Inteligence
Kapil Ahuja	IIT Indore, India	Machine Learning, Numerical Linear Algebra, Optimization
Sheikh Anisul Haque	Khwaja Yunus Ali Medical College, Bangladesh	Transfusion medicine, apheresis medicine

Completed Thesis

Name	Thesis title	Category	Year	link
Dr. Md. Motlubar Rahman	Krylov Subspace Techniques for Structure-Preserving Model Reduction of LargeScale Sparse Second-Order Differential Algebraic Equations (DAEs)	PhD Thesis	2022
Mahtab Uddin	Numerical Study on Continuous-Time Algebraic RICCATI Equations Arising from Large-Scale Sparse Descriptor Systems	MPhil Thesis	2020
Md. Toriqul Islam	Computational techniques for Riccati-based feedback stabilization of large-scale sparse index-2 descriptor system	Masters Thesis	2021
Dr. Md. Sumin hossain	Efficient solution of Lyapunov equation for descriptor system and application to model order reduction	MPhil Thesis	2016

From the pages of memory

Do you know where I am? (2012)	Slussen River at Stockholm (2009)	Chemnitz University of Technology (2010)
DMP Seminar (2016)	Received CTRG Research Grant (2017)

RECENT UPDATES:

Research Grant

I have received the NSU Faculty Research Grant 2016-2017 on the project "Structure Preserving Model Reduction of Large-Scale Second Order Dynamical systems using the PDEG Method and Application to some Real Problems". We will start from March 1, 2017.

Best Paper Award

One of our research articles titled "Rational Krylov subspace method (RKSM) for solving the Lyapunov equations of index-1 descriptor systems and application to balancing based model reduction" has received a Best Paper Award (1st position) in ICECE 2016.

UPCOMING INTERNATIONAL CONFERENCES

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