Mst (Kamrun) Kamrunnahar

W-309 Millennium Science Complex
Center for Neural Engineering
Dept. of Engineering Science and Mechanics

Penn State University
University Park, PA 16802

Email: Kamrun Nahar
Phone: (814)865-6951

The overall goal of my current research is to develop an improved, robust, and high performance “thought-guided” robotic control algorithm where electroencephalography (EEG) from the human brain is interpreted for certain actions to be performed by a robotic device. My long-term vision is to assist people with neurological disorders (for example, due to strokes or accidental damage to brain or spinal cord) to conduct motor activities, i.e. move objects by “thought” alone without moving (or being unable to move) body parts. A brain computer interface (BCI) is an alternative communication pathway between the brain (human or animal) and an external device. One motivation of BCI research is to give greater ability to severely disabled patients to interact with their surrounding environments. In BCI development, neuronal signals are translated into commands to build a direct interface between the brain and a device. Although invasive techniques have shown recent promise in the application of BCI, non-invasive scalp EEG based methods may be useful and more easily applied. One of the reasons for the limited performance of currently developed brain BCI systems is, I believe, due to the fact that neural dynamics is too complex for the currently applied proportional feedback control algorithms or filters to be efficient. To address this limitation, I envision a paradigm shift in the neuronal dynamic model identification and control algorithm development in the design and implementation of BCI which will improve the performance of scalp EEG based BCI significantly compared to other existing non-model based approaches using EEG signals. This research has implications for the disabled in our society through the development of smarter, more effective neural prosthetics.

This research is sponsored by a K25 Career Development Award from the National Institute of Neurological Disorders and Stroke (NINDS) at the National Institute of Health (NIH).

• Ph.D. in Chemical Process Control (Major: Chemical Engineering.): University of Alberta, Edmonton, Canada, 2001
  Thesis title: “ARMarkov Model-based Predictive Control: Design and Stable Tuning”

• M.Sc. (Chemical Engg.): Bangladesh University of Engineering & Technology (BUET), Dhaka, Bangladesh, 1995
• B.Sc. (Chemical Engg.): Bangladesh University of Engineering & Technology (BUET), Dhaka, Bangladesh, 1993

• “The Multimodal Neuroimaging Training Program (MNTP)” at the University of Pittsburgh and Carnegie Mellon University. This program provides training in multiple imaging modalities: MRI/DTI, functional MRI, PET, MEG/EEG, and optical imaging. fMRI module, June-July 2009.
• “Neuroinformatics” at the Marine Biology Laboratory (MBL). This program exposes the attendees to the techniques for exploratory and confirmatory analysis of all forms of time series data as well as anatomical data gathered in a neuroscientific context. The data considered include point processes (single and multiple spike trains), continuous processes (local field potential, EEG/MEG recordings, optical imaging data, fMRI and PET data), and neuroanatomical data (MRI, light microscopy as well as EM); August 2010.
• Courses at Penn State University
  • Neurobiology, Functional and Integrative Neuroscince, Neuroanatomy, Neuroanatomical Bases for Disorders of Behavior and Health, EEG Coherency analysis, Network Science, NeuroEthics, and Neural Control techniques

• NIH K25 Career Development Award, “Brain-Machine Interface: A Robust, High Performance Predictive Control Algorithm”, Role: PI, 2008 -
  

• Graduate Faculty member (Nov. ’10 –), Engineering Science and Mechanics Dept., Penn State University, University Park, PA
• Research Associate (Aug. ’06 –), The Center for Neural Engineering (CNE), Engineering Science and Mechanics Dept., Penn State University, University Park, PA

(i) Working on: (a) Feature extraction and model identification using non-invasive EEG data from human brain in order to develop control algorithms for Brain Computer Interface systems, (b) Optimization of electroencephalographic (EEG) data acquisition techniques, (ii) co-advised a senior honors thesis, (iii) offered graduate seminar courses (E Sc 597E, 597I) on Brain Computer Interfaces (BCI) in 2009, 2010, 2011 (iv) Contributed significantly to the development of a Laboratory system for human EEG data acquisition and analysis for teaching and research purposes, (v) Led study groups at the Center for Neural Engineering (CNE) by giving weekly seminars on Neural Engineering, (vi) Career Development Award, National Institute of Health (NIH), on “Brain-Machine Interface: A Robust, High Performance Predictive Control Algorithm”. Role: PI.

• Research Associate (Jan ’05-July’06), Engineering Science and Mechanics Dept., Penn State University, University Park, PA

Worked on: (i) Data Mining and Model development to study corrosion properties of metals and alloys using Neural Networks, statistical methods, and Bioinformatics tools (ii) Trained a WISEr (Women in Science and Engineering) student on data mining methodologies and tools.

• Post-doctoral Scholar (June ’03 – Dec. ’04), Material Science and Engineering Dept., Penn State University, University Park, PA.

Worked on: (i) Modeling Fundamental Role of Nano-scale Oxide Films in the Oxidation/Reduction Reactions on Noble Metal Electrocatalysts, specifically applicable to fuel cells. (ii) Development of Figure of Merit for the Quality of a ZrO2 Coating on Boiling Water Reactor Surfaces.

• Post-doctoral Research Associate (Sep. 2001 –March 2003 ), Dept of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign (UIUC), and National Center for Supercomputing Applications (NCSA) at UIUC, Illinois.

Worked on: (i) ‘Parameter sensitivity analysis of pit initiation at single sulfide inclusions in stainless steel’. (ii) ‘Portal development for the parameter sensitivity analysis of Copper electrodeposition for making interconnects on microelectronic devices’. (iii) ‘Modeling of Copper electrodeposition in the presence of additive systems’.

• Research Assistant (Sep. 1999 – July 2001), Dept of Chemical and Materials Engineering, University of Alberta, Canada.

Worked on System Identification, Model-based Predictive Controller (MPC) design and analysis.

• Teaching Assistant (Sep. 1997 - Dec 1997), Dept of Chemical and Materials Engineering, University of Alberta, Canada.

Assisted with a course on Numerical Methods.

• Lecturer (Feb. 1995 - Dec. 1995) Bangladesh University of Engineering & Technology (BUET), Dhaka, Bangladesh.

Designed and taught undergraduate courses, developed and instructed laboratory experiments, mentored undergraduate students, and served on the committee for undergraduate student development.

• E Sc 597E, E Sc 597I, E Sc 597F, E Sc 596D : graduate seminar course on Brain Computer Interfaces (BCI), Penn State University, 2009-2011
• Weekly Lectures on Neural Engineering, Center for Neural Engineering, Penn State University, Fall 2006, Spring 2007
• Numerical Methods using MATLAB (Teaching Assistant), University of Alberta, Fall 1997
• Mass and Energy Balances in Chemical Engineering, Heat Transfer, and Chemical Control Systems Design, Bangladesh University of Engineering & Technology (BUET), 1995-1995

• Andrew Geronimo: PhD Thesis, Penn State University, 2009 -
• Luke Mitchell: Senior (Undergraduate) Thesis, 2012
• Tasleema Khan: Senior honors thesis at The Schreyer Institute for Teaching Excellence, Penn State University, Spring 2009
• Margaret Cosgriff: Summer Intern, Penn State University, 2007
• Lauren Ellis: Undergraduate research experience project sponsored by the Space Grant Consortium, 2006

• M. Kamrunnahar, N.S. Dias, and S. Schiff, “Towards a Model-based Predictive Controller (MPC) Design in Brain Computer Interfaces”, Annals of Biomedical Engineering (2011), DOI: 10.1007/s10439-011-0248-y.
• N. S. Dias, M. Kamrunnahar, P.M. Mendes, S.J. Schiff, J.H. Correia, “Feature Selection on Movement Imagery Discrimination and Attention Detection”, Medical and Biological Engineering and Computation, (2010) 48:331–341, DOI: 10.1007/s11517-010-0578-1.
• N. S. Dias, M. Kamrunnahar, P. M. Mendes, S. J. Schiff, and J. H. Correia, “Variable Down-Selection for Brain-Computer Interfaces”, BIOSTEC 2009, Communications in Computer and Information Science (CCIS) 52, pp. 158–172, Springer-Verlag, Berlin Heidelberg, 2010, DOI: 10.1007/978-3-642-11721-3_12
• M. Kamrunnahar, and S.J. Schiff, “Optimization of electrode channels towards the development of Brain Computer Interfaces (BCI)”, in preparation.
• A. Geronimo, S.J. Schiff, and M. Kamrunnahar, “A generative model approach to motor-imagery brain-computer interfacing”, in preparation.
• M. Kamrunnahar, A. Geronimo, and S.J. Schiff, “Optimal slepian tapers and simultaneous evoked plus induced responses in brain computer interface task discrimination“,to be submitted.
• A. Geronimo, M. Kamrunnahar, and S.J. Schiff, “Towards a Robust Visual Stimulus in Brain Computer Interfaces”, in preparation.
• M. Kamrunnahar, and M. Urquidi-Macdonald, “Prediction of Corrosion Behavior of Alloy 22 using Neural Network as a Data Mining Tool”, Corrosion Science, 53 (2011) 961–967, DOI: 10.1016/j.corsci.2010.11.028. This article was featured (“Data miners dig for corrosion resistance”) in: Penn State Live, ScienceDaily, Science Codex, PhysOrg.com, ScienceBlog, MyScience, NACE Corrosion Press.
• M. Kamrunnahar, and M. Urquidi-Macdonald, “Prediction of Corrosion Behavior using Neural Network as a Data Mining Tool”, Corrosion Science, 2009; DOI: 10.1016/j.corsci.2009.10.024.
• L. Amelinckx, M. Kamrunnahar, and D.D. Macdonald, “Figure of Merit for the Quality of ZrO2 Coating Technology to Mitigate Intergranular Stress Corrosion Cracking in Boiling Water Reactors (BWR)”, Corrosion Science, 2006. 48 (11), p. 3646-3667.
• M. Kamrunnahar, J. Bao, and D.D. Macdonald, “Challenges in the Theory of Electron Transfer at Passive Interfaces” Corrosion Science, 47, 3111-3139, 2005.
• M. Kamrunnahar, R.D. Braatz, and R.C. Alkire, “Parameter Sensitivity Analysis of Pit Initiation at Single Sulfide Inclusions in Stainless Steel”, Journal of the Electrochemical Society, 151(2), B90-B97, 2004.
• M. Kamrunnahar, D.G. Fisher, and B. Huang, “Performance Assessment and Robustness Analysis Using an ARMarkov Approach”, Journal of Process Control, 14(8), 915-925, 2004.
• M. Kamrunnahar, D.G. Fisher, and B. Huang, “Model Predictive Control Using an Extended ARMarkov Model”, Journal of Process Control, 12(1), 123-129, 2002.
• M. Kamrunnahar, B. Huang, and D.G. Fisher, “Estimation of Markov Parameters and Time-Delay/ Interactor Matrix”, Chemical Engineering Science, 55 (17), 3353-3363, 2000.

• A. Geronimo, S.J. Schiff, and M. Kamrunnahar, “Visual evoked potentials for attentional gating in a brain-computer interface”, Proceedings of the 34th Annual International Conference of the IEEE EMBC2012, San Diego, CA, Aug. 2012.
• M. Kamrunnahar, and S.J. Schiff, “A square root ensemble Kalman filter application to a motor-imagery brain-computer interface”, Proceedings of the 33rd Annual International Conference of the IEEE EMBC2011, Boston, MA, Aug. 2011.
• A. Geronimo, S.J. Schiff, and M. Kamrunnahar, “A generative model approach to motor-imagery brain-computer interfacing”, Proceedings of the 5th International IEEE EMBS Conference on Neural Engineering, Cancun, Mexico, May 2011.
• M. Kamrunnahar, and A. Geronimo, “Motor Imagery Task Discrimination using Wide-band Frequency Spectra with Slepian Tapers”, Proceedings of the 32nd Annual International Conference of the IEEE EMBC2010, Buenos Aires, Argentina, 3349-3352, 2010
• M. Kamrunnahar, N.S. Dias, and S.J. Schiff, “Optimization of electrode channels towards the development of Brain Computer Interfaces (BCI)”, Proceedings of the 31st Annual International Conference of the IEEE EMBC2009, Minnesota, 6477-6480, 2009.
• M. Kamrunnahar, N.S. Dias, and S.J. Schiff, “Model-based Responses and Features in Brain Computer Interfaces”, Proceedings of the 30th Annual International Conference of the IEEE EMBS 2008, Vancouver, Canada, 4482-4485, 2008.
• M. Kamrunnahar, and S.J. Schiff, “Optimization of electrode channels in a visual discrimination task”. BMC Neuroscience 2007, 8(Suppl 2):P139, 2007. http://www.biomedcentral.com/content/pdf/1471-2202-8-S2-P139.pdf.
• M. Kamrunnahar, N.S. Dias, M. Cosgriff, and S.J. Schiff, “Model-based Discrimination of Tasks towards the Development of Brain Machine Interfaces (BMI)“, Proceedings of the 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008, vol. 2, 162.
• N. S. Dias, M. Kamrunnahar, P. M. Mendes, S. J. Schiff, and J. H. Correia, “Variable Subset Selection for Brain-Computer Interface - PCA-based Dimensionality Reduction and Feature Selection”, Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, Porto, Portugal, January 14 – 17, 2009, pp 35-40.
• N.S. Dias, M. Kamrunnahar, P.M. Mendes, S.J. Schiff, and J.H. Correia. “Comparison of EEG Pattern Classification Methods for Brain-Computer Interfaces”. Proceedings of the 29th Annual International Conference of the IEEE EMBS, 2540-2543, 2007.
• N.S. Dias, M. Kamrunnahar, P.M. Mendes, S.J. Schiff, and J.H. Correia. “Customized Linear Discriminant Analysis for Brain-Computer Interfaces”. Proceedings of the 3rd International IEEE/EMBS Conference on Neural Engineering, vol. ISS, 430-433, 2007.
• M. Urquidi-Macdonald and M. Kamrunnahar, “Topologically Ordered Corrosion Maps of Nickel Alloys”, Electrochemical Society (ECS) Transactions: Corrosion Modeling, 19(29), pp 167-177, 2009.
• K. Kirsch, M. Kamrunnahar, and M. Urquidi-Macdonal, “Data Mining of General Corrosion of Most Commonly Used Alloys, using Kohonen Mapping” Proceedings of the ASME PVP conference, in press, 2009.
• M. Kamrunnahar, and M. Urquidi-Macdonald, “Data Mining of Experimental Corrosion Data Using Neural Network”, Electrochemical Society Transactions: Corrosion and Electrochemistry of Advanced Materials, 2006, 1(4), p. 71-79.
• M. Kamrunnahar, B. Huang, and D.G. Fisher, “Predictive Control Using an Extended ARMarkov Model”, proceedings of the IFAC ADCHEM Conference, Pisa, Italy, 2000.

• M. Kamrunnahar, A. Geronimo, and S.J. Schiff, “Modeling Brain States for Motor Imagery Brain Computer Interface Applications”, to be presented at Neuroscience 2012, the annual meeting of the Society for Neuroscience, New Orleans, LA, Oct. 2012.
• A. Geronimo, S.J. Schiff, and M. Kamrunnahar, “Determining neural field connectivity of random, lattice, and small-world networks” to be presented at Neuroscience 2012, New Orleans, LA, Oct. 2012.
• M. Kamrunnahar and M. Urquidi-Macdonald, “Neural Network as a Data Mining Tool for Prediction of Corrosion Behavior” to be presented at PRiME 2012, 222nd Meeting of ECS — The Electrochemical Society, Honolulu, Hawaii, Oct. 2012.
• A. Geronimo, S.J. Schiff, and M. Kamrunnahar, “Visual evoked potentials for attentional gating in a brain-computer interface”, 34th Annual International Conference of the IEEE EMBC2012, San Diego, CA, Aug. 2012.
• M. Kamrunnahar, A. Geronimo, and S.J. Schiff, “Application of Model-based Approaches in Motor Imagery Brain Computer Interfaces”, Neural Interfaces Conference, Salt Lake City, UT, June 2012.

• M. Kamrunnahar, S.J. Schiff, “A non-linear ensemble Kalman Filter application to a motor-imagery brain-computer interface” Neuroscience 2011, the annual meeting of the Society for Neuroscience, November 2011.
• M. Kamrunnahar, S.J. Schiff, “A square root ensemble Kalman filter application to a motor-imagery brain-computer interface”, 33rd Annual International Conference of the IEEE EMBC2011, Boston, MA, Sept. 2011.
• A. Geronimo, S.J. Schiff, M. Kamrunnahar, “A generative model approach to motor-imagery brain-computer interfacing”, 5th International IEEE EMBS Conference on Neural Engineering, Cancun, Mexico, May 2011. Winner of an NSF IEEE EMBS Excellence in Neural Engineering Travel Award.
• M. Kamrunnahar and A. Geronimo, “Motor Imagery Task Discrimination using Wide-band Frequency Spectra with Slepian Tapers”, IEEE EMBC2010, Buenos Aires, Argentina, Aug. 31 - Sept. 5, 2010.
• A. Geronimo, S.J. Schiff, and M. Kamrunnahar, “A generative model approach to motor-imagery brain-computer interfacing”, Engineering Science and Mechanics Today, Penn State University, PA, February 12, 2011.
• M. Kamrunnahar, A. Geronimo, and S.J. Schiff, “Visual Cue Design in Brain Computer Interfaces“, BCI Meeting 2010:Fourth International Meeting, Asilomar CA, May 31 - June 4, 2010.
• A.M. Geronimo, M. Kamrunnahar, and S.J. Schiff, “Cue Variation in a Motor Imagery Task”, BCI Meeting 2010:Fourth International Meeting, Asilomar CA, May 31 - June 4, 2010. Winner of a BCI 2010 Student Scholarship.
• Andrew Geronimo, M. Kamrunnahar, and Steven Schiff, “Cue variation in a motor-imagery task”, College of Engineering Research Symposium, Penn State University, PA, April 1, 2010
• Andrew Geronimo, M. Kamrunnahar, Steven Schiff, “Cue variation in a motor imagery task”, Engineering Science and Mechanics Today, Penn State University, February 13, 2010.
• M. Kamrunnahar, A. Geronimo, and S.J. Schiff, “Towards a Robust Visual Stimulus in Brain Computer Interfaces”, Neuroscience 2009, the 39th annual meeting of the Society for Neuroscience, October 2009.
• A. Geronimo, M. Kamrunnahar, S.J. Schiff, “Towards a robust visual stimulus in brain-computer interfaces”, Neuroscience Research Days, Penn State University, PA, November 2009.
• M. Kamrunnahar, N.S. Dias, and S.J. Schiff, “Optimization of electrode channels towards the development of Brain Computer Interfaces (BCI)”, IEEE EMBC2009, Minnesota, September 2009.
• M. Kamrunnahar, N.S. Dias, and S.J. Schiff, “Source Derivation in Model-based Feature Discrimination in Brain Computer Interfaces”, Neuroscience 2008, the 38th annual meeting of the Society for Neuroscience, Washington D. C., November 2008.
• M. Kamrunnahar, N.S. Dias, S.J. Schiff, and B. Gluckman, “Model-based Responses and Features in Brain Computer Interfaces”, IEEE EMBC2008, Vancouver, Canada, August 2008.
• N. S. Dias, M. Kamrunnahar, P. M. Mendes, S. J. Schiff, and J. H. Correia, “Variable Subset Selection for Brain Computer Interface”, Biosignals 2009, International Conference on Bio-Inspired Systems and Signal Processing, Porto - Portugal, 14 - 17 January, 2009. The best student paper of the session.
• M. Kamrunnahar, N.S. Dias, M. Cosgriff, and S.J. Schiff, “Model-based Discrimination of Tasks towards the Development of Brain Machine Interfaces (BMI)”, 2nd International Symposium on Bio- and Medical Informatics and Cybernetics: BMIC 2008 (a part of the 12th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2008), Orlando, Florida, July 2008.
• K. Kirsch, M. Kamrunnahar, and M. Urquidi-Macdonal, “Data Mining of General Corrosion of Most Commonly Used Alloys, using Kohonen Mapping” ASME PVP conference, Prague, Czech Republic, July 2009. The best undergraduate student paper.
• M. Urquidi-Macdonald and M. Kamrunnahar, “Topological Ordered Maps of General Corrosion of Most Commonly Used Alloys”, 215th Electrochemical Society (ECS) Meeting, San Francisco, California, May 2009.
• “Brain Computer Interfaces: Thoughts into Action”, Invited Guest Lecture, Engineering Science and Mechanics Seminar Series, Penn State University, April 2009.

• M. Kamrunnahar, and S. Schiff, “Imagery Task Discrimination towards the Development of Brain Machine Interfaces (BMI)”, Neuroscience Day, Penn State University, October 2007.
• N.S. Dias, M. Kamrunnahar, P.M. Mendes, S.J. Schiff, and J.H. Correia, “Comparison of EEG Pattern Classification Methods for Brain-Computer Interfaces”, 29th Annual International Conference of the IEEE EMBS, Lyon, France, August 2007.
• M. Kamrunnahar, and S. Schiff, “Optimization of electrode channels in a visual discrimination task”, Computational Neuroscience, Toronto, Canada, July 2007.
• M. Kamrunnahar, “How the Brain Works”, Hands-on Workshop, Penn State University, July 2007.
• N.S. Dias, M. Kamrunnahar, P.M. Mendes, S.J. Schiff, and J.H. Correia, “Customized Linear Discriminant Analysis for Brain-Computer Interfaces” 3rd International IEEE/EMBS Conference on Neural Engineering, Hawaii, USA, May 2007.
• M. Kamrunnahar, N.S. Dias, and S.J. Schiff, “The use of brain waves to move a remote control car”, Brain Awareness Days, The Central Pennsylvania Chapter of the Society for Neuroscience, March 2007.
• M. Kamrunnahar, “Part I - ARMarkov Model-based Predictive Control and Part II - Data Mining of Experimental Corrosion Data”, George Mason University, May 2006.
• M. Kamrunnahar, and M. Urquidi-Macdonald, “Data Mining of Experimental Corrosion Data Using Neural Network”, 208th Annual Electrochemical Society (ECS) Meeting, Los Angeles, October 2005.
• Alameda, J., et al., “The Alliance Science Portal”, AIChE 2002 Annual Meeting, Indianapolis, 2002.
• M. Kamrunnahar, B. Huang, and D.G. Fisher, “Statistical Properties of Model Parameters Estimated Using ARMarkov Identification”, 49th CSCHE Conference, Saskatoon, Canada, Oct. 1999.
• M. Kamrunnahar, B. Huang, and D.G. Fisher, “Model Predictive Control Using ARMarkov/LS Identification and a Fractional Control Horizon”, Annual AICHE Meeting, Miami, Nov. 1998.
• M. Kamrunnahar, B. Huang, and D.G. Fisher, “Time-Delay/ Interactor Matrix Estimation Using ARMarkov Least-squares Method”, 48th CSCHE Conference, London, Canada, Oct. 1998.

• Advisor: Graduate and undergraduate thesis research, 2009-
• Member: Graduate Thesis Committees, Fall 2009
• Judge: Graduate Research Exhibition at ESM Today, Penn State University, 2009
• Moderator: Surviving Skills and Ethics Workshop, Penn State University, 2009
• “How Brain Works”, Summer workshop for 11-12th Grade Girl students organized by the Women in the Sciences and Engineering (WISE) Institute, Penn State University, 2007
• “The use of brain waves to move a remote control car”, Brain Awareness Days, The Central Pennsylvania Chapter of the Society for Neuroscience, 2007
• Reviewer:
  • IEEE EMBC
  • IEEE Transactions on Biomedical Engineering
  • Journal of Neural Engineering
  • Corrosion Science
  • Bio- and Medical Informatics and Cybernetics (BMIC)
  • Society of Women Engineers (SWE)
• Member:
  • IEEE, IEEE Engineering in Medicine and Biology Society (EMBS), IEEE Women in Engineering (WIE)
  • Society for Neuroscience (SFN)
  • Member-Affiliate, Commission for Women (CFW), Penn State University
  • Graduate Women in Science (GWIS)

• K25 Career Development Award, National Institute of Neurological Disorders and Stroke (NINDS) at the National Institute of Health (NIH), 2008.
• Exposure (“Data miners dig for corrosion resistance”) for “Prediction of corrosion behaviour of Alloy 22 using neural network as a data mining tool”, April 2011:
  

Penn State Live, ScienceDaily, Science Codex, PhysOrg.com, ScienceBlog, MyScience, NACE Corrosion Press.

• The best student paper of a session, Biosignals 2009, Porto - Portugal, January 14 - 17 , 2009. Role: Co-author.
• The best undergraduate student paper, ASME PVP conference, Prague, Czech Republic, July 2009. Role: Co-author.
• Canadian International Development Agency PhD Scholarship (1996-2001).
• Canadian International Development Agency Scholarship, MSc. Engineering (1994-1995).
• First Grade Merit award, Bangladesh University of Engineering and Technology (BUET), Bangladesh, August 1988 – December 1993.
• President’s (of Bangladesh) Award, as one of the Top 10 students in Senior High School (11-12 Grades) in one of the four Educational Boards in Bangladesh, 1987.

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