2017

50. N. K . Qureshi, N. Naseer, F. M Noori, R. A. Khan, H. Nazeer, S. Saleem, “Enhancing classification performance of fNIRS-BCI using adaptive estimation of GLM coefficients”, Frontiers in Neurorobotics, Vol. 11, Article number 33, July 2017 (SCI, SCIE, SCOPUS, Impact Factor: 2.48). doi: 10.3389/fnbot.2017.00033

49. F. M. Noori, N. Naseer, N. K. Qureshi, H. Nazeer, and R. A. Khan, “Optimal Feature Selection from fNIRS Signals using Genetic Algorithms for BCI” Neuroscience Letters, Vol. 647, pp. 61-66, March 2017 (SCI, SCIE, SCOPUS, Impact factor 2.1). http://dx.doi.org/10.1016/j.neulet.2017.03.013

 
48. Sajid Saleem, Abdul Bais, Robert Sablatnig, Ayaz Ahmad, N. Naseer, “Feature points for multisensor images”, Computers and Electrical Engineering, May 2017 (SCI, SCIE, SCOPUS, Impact Factor: 1.8)  Doi: https://doi.org/10.1016/j.compeleceng.2017.04.032
 

47. Asgher, U., Ahmad, R., Ayaz, Y., Naseer, N., Ali, L., Ruiz, J. A., & Kole, M. (2017, July). Analyzing Various Functions of Prefrontal Cortex (PFC) in Decision Making via Brain Imaging Techniques. In International Conference on Applied Human Factors and Ergonomics (pp. 249-260). Springer.

 
46. N. A. Khan, Sham-e-Aimen, J. Basit, N. Naseer, R. A. Khan, H. Nazeer, “ Development and control of EEG-based Brain-Controlled Wheelchair” 4th International Conference on Mechatronics, Automation and Manufacturing (ICMAM 2017) Phuket, Thailand, October 13-15, 2017
 
45.  C. S. Ahmad, A. Hassan, Ameer-ul-Haq, N. Naseer, R. A. Azam Khan, “ Design, Fabrication and Path Planning of an Autonomous Warehouse Robot” 4th International Conference on Mechatronics, Automation and Manufacturing (ICMAM 2017) Phuket, Thailand, October 13-15, 2017
 
44. N. Naseer and H. Nazeer, “Classification of Normal and Abnormal ECG Signals based on their PQRST intervals” IEEE International Conference of Mechanical, System and Control Engineering (ICMSC 2017), Saint Petersburg, Russia, 19-21 May 2017. doi: 10.1109/ICMSC.2017.7959507
 
43. M. Naved, A. Khurshid, N. Naseer, H. M. Mateen, “Design, Fabrication and Testing of an Autonomously Controlled Electric Discharge Machine” IEEE International Conference of Mechanical, System and Control Engineering (ICMSC 2017), Saint Petersburg, Russia, 19-21 May 2017. doi: 10.1109/ICMSC.2017.7959466

2016

42. N. A. Khan, J. B. Bhatt, S. Aimen, N. Naseer, “Brain-controlled wheelchair using Emotiv Epoc Electroencephalography system” International Conference on Mechatronics and Control Engineering, Venice, Italy, 13-17 December, 2016.

41. N. K. Qureshi, F. M. Noori, A. Abdullah and N. Naseer, “Comparison of classification performance for fNIRS-BCI system” IEEE International Conference on Robotics and Artificial Intelligence, Rawalpindi, pp. 54-57, 1-2 November 2016. Doi: 10.1109/ICRAI.2016.7791228

40. F. M. Noori, N. K. Qureshi, R. A. Khan and N. Naseer, “Feature Selection Based on Modified Genetic Algorithm for Optimization of Functional Near-Infrared Spectroscopy (fNIRS) Signals for BCI” IEEE International Conference on Robotics and Artificial Intelligence, Rawalpindi, pp. 50-53, 1-2 November 2016. Doi: 10.1109/ICRAI.2016.7791227

39. M. J. Khan, K.-S. Hong, N. Naseer and R. A. Khan, “fNIRS based passive BCI for alert/non-alert state detection” 1st Neuroergonomics conference, Paris, France, 6-7 October 2016.

38. N. . Naseer, N. K. Qureshi, F. M. Noori, K.-S. Hong, “Analysis of different classification techniques for two-class functional near-infrared spectroscopy based brain-computer interface” Computational Intelligence and Neuroscience, Article number 5480760, 2016 (SCIE, SCOPUS, Impact Factor 0.43). doi: http://dx.doi.org/10.1155/2016/5480760

37. N. Naseer, F. M. Noori, N. K. Qureshi and K.-S. Hong “Determining optimal feature-combination for LDA classification of functional near-infrared spectroscopy signals in brain-computer interface application” Front. Hum. Neurosci. Vol. 10, Article no. 237, 2016 (SCI, SCIE, SCOPUS, Impact Factor 3.63).  doi: 10.3389/fnhum.2016.00237

36. K.-S. Hong, N. Naseer, “Reduction of Delay in Detecting Initial Dips from Functional Near-Infrared Spectroscopy Signals Using Vector-Based Phase Analysis”, International Journal of Neural Systems, Vol. 26, no. 1, 2016. (SCI, SCIE, SCOPUS, Impact factor 6.51). doi:  10.1142/S012906571650012X

35.  N. Naseer, F. M. Noori, N. K. Qureshi and K.-S. Hong “Determining optimal feature-combination for classification of fNIRS-based BCI” The 22nd Annual Meeting of the Organization of Human Brain Mapping (OHBM 2016), Geneva, Switzerland, 26th to 30th June, 2016.

 

2015

 34. N. Naseer, “Commentry: Correlation of prefrontal cortical activation with changing vehicle speeds in actual driving: a functional near-infrared spectroscopy study”, Frontiers in Human Neuroscience, Vol. 9, Article number 665. (SCI, SCIE, SCOPUS, Impact factor 3.6). Doi: http://dx.doi.org/10.3389/fnhum.2015.00665

33. N. Naseer, and K.-S. Hong, “Decoding answers to four-choice questions using functional near infrared spectroscopy,” Journal of Near Infrared Spectroscopy, Vol. 23, Issue 1, pp. 23-31, 2015. (SCI, SCIE, SCOPUS, Impact Factor 1.5). Doi: dx.doi.org/10.1255/jnirs.1145  

32. N. Naseer, and K.-S. Hong, “fNIRS-based brain-computer interfaces: a review,” Frontiers in Human Neuroscience, Vol. 9, Article number 3, 2015. (SCI, SCIE, SCOPUS, Impact Factor 2.9) Doi: http://dx.doi.org/10.3389/fnhum.2015.00003

31. K.-S. Hong, N. Naseer, and Y,-H. Kim, “Classification of prefrontal and motor cortex signals for three-class fNIRS-BCI,” Neuroscience Letters, Vol.  587, pp. 87-92, 2015. (SCI, SCIE, SCOPUS, Impact Factor 2.055) Doi: http://dx.doi.org/10.1016/j.neulet.2014.12.029

30. N. Naseer, K.-S. Hong, M.J. Khan, M.R. Bhutta, “Comparison of Artificial Neural Network and Support Vector Machine Classifications for fNIRS-based BCI”, The 15th International Conference on Control, Automation and Systems (ICCAS 2015),  Busan, Korea,

29. M.J. Khan, K.S. Hong, N.Naseer, M.R.Bhutta, “Drowsiness Detection in Dorsolateral-Prefrontal Cortex using fNIRS for a Passive-BCI” The 15th International Conference on Control, Automation and Systems (ICCAS 2015),  Busan, Korea,

28. M.J. Khan, K.-S. Hong, N. Naseer, and M.R. Bhutta, “Motor imagery performance evaluation using hybrid EEG-NIRS for BCI,” The Annual Conference of the Society of Instrument and Control Engineers (SICE), Hangzhou, China, July 28-30. Doi: http://dx.doi.org/10.1109/SICE.2015.7285318

27. M.J. Khan, K.-S. Hong, N. Naseer, M.R. Bhutta, “Hybrid EEG-NIRS based BCI for quadcopter control,” The Annual Conference of the Society of Instrument and Control Engineers (SICE), Hangzhou, China, July 28-30. DOi; http://dx.doi.org/10.1109/SICE.2015.7285434

26. N. Naseer, K.-S. Hong, Y.-I. Shin, M.J. Khan and M.R. Bhutta, “Four-class classification of fNIRS signals for decoding answers to multiple-choice questions”, the 21st Annual meeting of the Organization for Human Brain Mapping (OHBM 2015), Honolulu, Hawaii, USA, 14-18 June 2015. 

25. N. Naseer, K.-S. Hong, M. J. Khan and M.R. Bhutta, “Analysis of classification performance of fNIRS signals from prefrontal cortex using different temporal window”, The 10th Asian Control Conference 2015 (ASCC 2015), Kota Kinabalu, Malaysia, 31st May-3rd June, 2015. Doi: http://dx.doi.org/10.1109/ASCC.2015.7244414

24. M.R. Bhutta, K.-S. Hong, N. Naseer and M.J. Khan, “Spontaneous lie detection using functional near-infrared spectroscopy in an interactive game” The 10th Asian Control  Conference 2015 (ASCC 2015), Kota Kinabalu, Malaysia, 31st May-3rd June, 2015. Doi: http://dx.doi.org/10.1109/ASCC.2015.7244666

 

2014 

23. N. Naseer, M.J. Hong, K.-S. Hong, “Online binary decision decoding using functional near-infrared spectroscopy for the development of brain-computer interface,” Experimental Brain Research, Vol 232, Issue 2, pp. 555-564, 2014. (SCI, SCIE, SCOPUS,Impact Factor 2.221) Doi: http://dx.doi.org/10.1007/s00221-013-3764-1

22. M.J. Khan, K.-S Hong, N. Naseer, M.R. Bhutta, “A hybrid brain-computer interface based on common EEG and NIRS resting state for BCI” The 14th International Conference on Control, Automation and Systems (ICCAS 2014),  KINTEX, Korea, pp. 275-278, October 22-25, 2014. doi: 10.1109/ICCAS.2014.6988001

21. M.J. Khan, K.-S Hong, N. Naseer, M.R. Bhutta, S.H. Yoon, “Hybrid EEG-NIRS BCI for rehabilitation using different brain signals,” The Annual Conference of the Society of Instrument and Control Engineers (SICE), Sapporo, Japan, pp. 1768-1773, September 9-12, 2014. Link

20. M.R. Bhutta, K.-S. Hong, N. Naseer, M.J. Khan, “Hemodynamic signals based lie detection using a new wireless NIRS system,” The Annual Conference of the Society of Instrument and Control Engineers (SICE), Sapporo, Japan, pp. 979-984, September 9-12, 2014. doi: 10.1109/SICE.2014.6935240

19. N. Naseer, K.-S. Hong, M.J. Khan and M.R. Bhutta, “Classification of prefrontal and motor cortex activities for development of three-class fNIRS-BCI,” The 20th Annual Meeting of the Organization for Human Brain Mapping (OHMB), Hamburg, Germany, June 8-12, 2014. http://ww4.aievolution.com/hbm1401/index.cfm?do=abs.viewAbs&src=ext&abs=1317

18. M.R Bhutta, K.-S Hong, N. Naseer and  M.J. Khan, “Classification of lie and truth in forced choice paradigm: an fNIRS study,” The 20th Annual Meeting of the Organization for Human Brain Mapping (OHMB), Hamburg, Germany, June 8-12, 2014. http://ww4.aievolution.com/hbm1401/index.cfm?do=abs.viewAbs&src=ext&abs=1538

17. M.J. Khan, K.-S Hong, N. Naseer and M.R. Bhutta, “Multi-decision detection using EEG-NIRS based hybrid brain-computer interface (BCI),” The 20th Annual Meeting of the Organization for Human Brain Mapping (OHMB), Hamburg, Germany, June 8-12, 2014. http://ww4.aievolution.com/hbm1401/index.cfm?do=abs.viewAbs&src=ext&abs=1543

16. N. Naseer, K.-S. Hong, M.R. Bhutta and M.J. Khan, “ Improving classification accuracy of covert yes/no response decoding using support vector machines: an fNIRS study,”  IEEE International Conference on Robotics and Emerging Allied Technologies in Engineering (iCREATE), Islamabad, Pakistan, pp. 6-9, Apr. 22-24, 2014. doi: 10.1109/iCREATE.2014.6828329 (BEST PAPER AWARD)

15. M.R Bhutta, K.-S Hong, N. Naseer and  M.J. Khan, “Water correction algorithm to improve the classification accuracy: a near-Infrared spectroscopy study,” IEEE International Conference on Robotics and Emerging Allied Technologies in Engineering (iCREATE), Islamabad, Pakistan, pp. 91-94, Apr. 22-24, 2014. doi: 10.1109/iCREATE.2014.6828346

14. M.J. Khan, K.-S Hong, M.R Bhutta and N. Naseer, “ Dual movement control command generation using prefrontal brain activity,” IEEE International Conference on Robotics and Emerging Allied Technologies in Engineering (iCREATE), Islamabad, Pakistan, pp. 244-248, Apr. 22-24, 2014. doi: 10.1109/iCREATE.2014.6828373

13. N. Naseer, M.J. Khan and K.-S. Hong, “Classification of fNIRS signals corresponding to mental arithmetic and mental counting using different temporal windows,” The 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa, 24-29 August 2014. (ACCEPTED but withdrawn due to unavailability of funds for travelling)

12. M.J. Khan, K.-S. Hong, N. Naseer and M.R. Bhutta, “A hybrid brain-computer interface based on common EEG and NIRS resting state,” SPIE Transnational Biophotonics, Houston, Texas, USA, 19-20 May 2014. (ACCEPTED but withdrawn due to unavailability of funds for travelling).

11. M.R. Bhutta, K.-S. Hong, N. Naseer and M.J. Khan, “Hemodynamic signals based lie detection using a new wireless NIRS system,” SPIE Transnational Biophotonics, Houston, Texas, USA, 19-20 May 2014. (ACCEPTED but withdrawn due to unavailability of funds for travelling).

2013

10. N. Naseer, K.-S. Hong, “Classification of functional near-infrared spectroscopy signals corresponding to right- and left-wrist motor imagery for development of a brain-computer interface,” Neuroscience Letters, Vol 553, pp. 84-89, 2013. (SCI, SCIE, SCOPUS, Impact Factor 2.026 ) Doi: http://dx.doi.org/10.1016/j.neulet.2013.08.021

9. N. Naseer, K.-S. Hong, “Determination of temporal window size for classifying the mean values of fNIRS signals from motor Imagery” IEEE International Conference on Robotics, Automation and Mechatronics (RAM), Manila, Philippines, pp 237-240, Nov. 12-15, 2013. doi: 10.1109/RAM.2013.6758590

8. N. Naseer, K.-S. Hong, “Discrimination of right- and left-wrist motor imagery using fNIRS: Towards control of a ball-on-a-beam system,” Proceedings of the 6th International IEEE Engineering in Medicine and Biology Society (IEEE EMBS) conference on Neural Engineering, San Diego, CA. USA, pp 703-706, Nov. 6-8, 2013. View

7. N. Naseer, K.-S. Hong, “Functional near-infrared spectroscopy based discrimination of mental counting and no-control state for development of a brain-computer interface,” Proceedings of the 35th International Conference of IEEE Engineering in Medicine and Biology Society (IEEE EMBS), Osaka, Japan, pp 1780-1783, July 3-7, 2013. doi: 10.1109/EMBC.2013.6609866

6. N. Naseer, K.-S. Hong, “Functional near-infrared spectroscopy based classification of prefrontal activity for development of a brain-computer interface,” Proceedings of the 10th Annual Congress of Society of Brain Mapping and Therapeutics (SBMT), Baltimore, Maryland, USA, May 12-14, 2013. View

2012 

5. M. J. Khan, M. R. Afzal, N. Naseer, Z. U. Koreshi, “Control system design for a prosthetic leg using series damping actuator,” NUST Journal of Engineering Sciences (NJES), Vol 5, Issue 1, pp 11-15, 2012.  http://journals.nust.edu.pk/index.php/njes/article/view/48 

4. N. Naseer and K.-S. Hong, “Functional near-infrared spectroscopy based brain activity classification for development of a brain-computer interface,” Proceedings of the IEEE International Conference on Robotics and Artificial Intelligence, Rawalpindi, Pakistan, pp 174-178, October 22-23, 2012. doi: 10.1109/ICRAI.2012.6413395  (BEST PAPER AWARD)

3. M. J. Khan, M. R. Afzal, N. Naseer, Z. U. Koreshi, “Control System Design for a Prosthetic Leg Using Series Damping Actuator,” Proceedings of the IEEE International Conference on Robotics and Artificial Intelligence, Rawalpindi, Pakistan, pp 1-6, October 22-23, 2012. doi: 10.1109/ICRAI.2012.6413418

2. X.-S. Hu, K.-S. Hong, S. S. Ge, N. Naseer, “Spontaneous Fluctuation Contributed to the Trail-to-trail Variability in fNIRS Signal,” Poster (773-WT) presented at the 18th Annual Meeting of the Organization for Human Brain Mapping (OHMB), Beijing, China, June 10-14, 2012. Link: http://ww4.aievolution.com/hbm1201/index.cfm?do=abs.viewAbs&abs=5516

1. Z. Asfar, N. Naseer, M. J. Khan, “Design, control and implementation of a ball on plate balancing system,” Proceedings of IEEE International Bhurban Conference on Applied Sciences and Technology (IBCAST), pp 22-26, Islamabad, Pakistan, January 9-12, 2012. doi: 10.1109/IBCAST.2012.6177520