Dr. Adnan Shah

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Dr. Adnan Shah
adnan.shah@giki.edu.pk
Ext: 2522
G-17, FCSE Lobby

Engr. Dr. Adnan Shah

Assistant Professor (HEC Approved PhD Supervisor, EUR ING)
   Qualifications:
  • PhD in Engineering and Computer Science, The Australian National University (ANU), Australia, 2015
  • MSc in Information and Communication Engineering, TU Darmstadt, Germany, 2008
  • BS in Electronic Engineering, GIK Institute of Engineering Sciences and Technology, Pakistan, 2003
    Research Interests:
  • Machine Learning for Signal Processing
  • Artificial Intelligence
  • Medical Electronic Devices and Embedded Systems
  • Intelligent IoT and Smart Healthcare Systems
  • fMRI/fNIRS Neuroimaging, Auditory Neuroscience, and Neurorehabilitation
  • Translational Research

 

 Academic and Professional Background:

Dr. Adnan Shah, EUR ING, received his BS degree in Electronics Engineering (1999 – 2003) from GIK Institute of Engineering Sciences and Technology, Pakistan. He earned his Master of Science in Information and Communication Engineering (2004 – 2008) from Technische Universität Darmstadt, Germany, where his postgraduate training included advanced coursework in signal processing, communication systems, microelectronic hardware/software integration, functional verification of hardware, mobile and multimedia communications, coding theory, image processing, and information security, along with six-month industrial placement at Pepper + Fuchs and a six-month (30 ECTS) industry-based research thesis at ATMEL.

Building upon this foundation in signal and information processing, he pursued doctoral research at The Australian National University (ANU), Australia, a world-class research-intensive institution, where he completed his PhD in Engineering and Computer Science (2010 – 2014). His doctoral residency at ANU was supported by the highly competitive National ICT Australia (NICTA) – ANU Research Scholarship. His doctoral work contributed to research at the intersection of engineering and computer science, forming the foundation of his work in machine learning for signal processing.

Following his PhD, Dr. Shah held postdoctoral and research appointments at the University of Melbourne and the Bionics Institute, Australia, working on fNIRS-based diagnostic techniques for cochlear implant users, and at Osaka University and the Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Japan, focusing on cortical layer brain activity detection using ultra-high-field 7T MRI.

In 2023, he joined the GIK Institute as an Assistant Professor after serving at the College of Aeronautical Engineering, National University of Sciences and Technology (NUST), Pakistan. He has extensive international academic and research experience spanning Pakistan, Germany, Australia, and Japan. Prior to his academic career, he worked in the telecommunications, semiconductor, and industrial automation sectors with Nokia/emitel AG, Atmel Automotive GmbH, Pepperl + Fuchs GmbH, and Next Generation Communications (Germany).

Dr. Shah’s research interests include statistical signal processing, machine learning, artificial intelligence, and functional neuroimaging (fMRI and fNIRS), with emphasis on translational and applied research. He has authored and co-authored more than 40 peer-reviewed publications in international journals and conferences, including IEEE Transactions on Medical Imaging, Scientific Reports, and Trends in Hearing, as well as IEEE EMBC, ICASSP, MLSP, ISMRM, and OHBM, contributing to neuroimaging, auditory neuroscience, and neurorehabilitation.

Dr. Shah has supervised undergraduate and graduate course and final year projects and taught a wide range of courses, including Digital Logic Design, Electronics, Signals and Systems, Communication Systems, Digital Signal Processing, Operating Systems, Information and Communication Technologies, Introduction to Data Science, Stochastic Systems, Radar Signal Processing, and Signal and Image Processing. He actively contributes to curriculum development, academic administration, quality assurance, and student mentoring.

He is a member of the European Federation of National Engineering Associations (FEANI) and a registered Professional Engineer with the Pakistan Engineering Council (PEC).

Service History:

2003-2004 Electronics Engineer LE/TA, FEE, GIK Institute, Topi-Swabi, Pakistan
2005-2006 VoIP Engineer, Next Generation Communications, Frankfurt am Main, Germany
2006-2007 Gradate Intern, Pepperl-Fuchs GmbH, Mannheim, Germany
2007-2008 Master Thesis Student, ATMEL Automotive GmbH, Ulm, Germany
2008-2009 Baseband Hardware Engineer, NOKIA/emitel AG, Ulm, Germany
2009-2010 Research Associate, FEE, GIK Institute, Topi-Swabi, Pakistan
2010-2014 PhD Student, National ICT Australia and ANU, Canberra, Australia
2014-2017 Postdoctoral Researcher, The University of Melbourne, and Bionics Institute, Melbourne, Australia
2017-2022 Postdoctoral Researcher, Center for Information and Neural Networks, National Institute of Information and Communications Technology, and Osaka University, Osaka, Japan
2022-2023 Assistant Professor, Department of Avionics Engineering, College of Aeronautical Engineering, National University of Sciences and Technology, Risalpur, Pakistan

Current Occupation:

2023- Assistant Professor, Faculty of Computer Science and Engineering, GIK Institute, Topi-Swabi, Pakistan

Teaching:

  1. CE532 Signal and Image Processing (Spring 2026, Graduate Course)
  2. CS202 Information and Communication Technologies x 2 (Spring 2026, Fall 2023)
  3. CE221 Digital Logic Design x 4 (Fall 2025: AI Section + SE Section. Fall 2024: CE Section + SE Section)
  4. CE339 Introduction to Data Science x 2 (Spring 2025, Spring 2024)
  5. CE231 Electronics I x 2 (Spring 2025, Spring 2024)
  6. CS311 Operating Systems (Fall 2023)
  7. AV820 Radar Signal Processing (Spring 2023, Graduate Course)
  8. EE891 Stochastic Systems (Fall 2022, Graduate Course)
  9. AV313 Digital Signal Processing x 2 (Spring 2023, Fall 2022)
  10. AV262/EE351 Signals and Systems x 2 (Spring 2023, Fall 2009)
  11. EE361 Communication Systems (Spring 2010)

Publications and Presentations:

No of Papers in Refereed Journals: 7
No of Papers/Presentations in peer–reviewed Scientific Conferences: 37

Organized / Co-Organized Seminars and Volunteering:

1. IEEE Signal Processing Society Distinguished Lecture 2014 at the University of Melbourne: “Signal Processing for Diagnostic Medicine” by Prof. V. John Mathews, Information Processing Group, Department of Electrical and Computer Engineering, The University of Utah, USA. (Oct. 17, 2014)

2. IEEE Signal Processing Society Distinguished Lecture 2015 at the University of Melbourne: “25 Years of Audio Coding: How we arrived at audio playback on iPhone and its underlying technology” by Dr. Akihiko Sugiyama, NEC Information and Media Processing Labs, Japan. (Sept. 28, 2015)

3. Volunteered as a proctor to guide and oversee competing teams for the IEEEXtreme 10.0 programming competition that hosted 6,800 participants, Melbourne, Australia. (Oct. 22, 2016)

4. Online International Seminar Series 2023 at the Faculty of Computer Science and Engineering, GIK Institute: “Recent Trends in Data Analytics and Machine Learning Applications” by Dr. Hazem El-Alfy, Lecturer, Faculty of Engineering, School of Computer Science, The University of Sydney. (Dec. 12, 2023)

Research Grants and Contracts:

Seghouane AK, McKay CM, Shah A, “A new prognostic tool for cochlear implantation using function near-infrared spectroscopy.”  Seed Funding, University of Melbourne, 30K AUD Interdisciplinary Seed Funding, Melbourne Neuroscience Institute, The University of Melbourne, Australia. 2014 – 2015

Ph.D. students supervised/mentored:

  1. X. Zhou, The University of Melbourne, Australia. 2014-2015

Selected Oral Talks:

  1. Functional MRI Data Analysis Workshop, CPD Activity, FCSE, GIK Institute. July 25th, 2024.
  2. Robust activity detection in fMRI at 7T with ICA denoising and optimal de-drifting. The 5th Annual Scientific Meeting of ISMRM Japanese Chapter, Online, Oral-Presentation, 12 Dec. 2020.
  3. Functional brain imaging using ultra high magnetic field 7T MRI: Signal Processing and Data Analysis. Graduate School of Frontier BioSciences, Osaka University, Osaka, Japan. Dec. 17, 2019.
  4. Distortion-matched anatomical imaging using inversion recovery-prepared EPI for high-resolution fMRI. 2018 Annual Meeting of the organization of Human Brain Mapping, Singapore. June 19, 2018.
  5. High resolution fMRI at 7T: opportunities and challenges. CiNet, NICT, and Osaka University, Osaka, Japan. April 13, 2018.
  6. Signal improvement and model-free de-drifting in fMRI and fNIRS data. CiNet, NICT, and Osaka University, Osaka, Japan. July 14, 2017.
  7. Recovering HRFs from overlapping ROIs in fMRI data using thresholding correlations for sparse dictionary learning, International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy. August, 2015
  8. Delta-sigma modulators for fractional-N synthesis. Atmel R&D Center, Ulm, Germany. February 15, 2008.
  9. Advanced algorithms for smart antenna systems. TU Darmstadt, Darmstadt, Germany. July 2005.

Short Courses, Workshops, and Summer Schools Attended On-Site:

1. Neuroimaging By Deep Learning (2024), College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan.
2. AI and Data Science Workshop for Educators (2023), Centre for Continuing Education Studies, Lahore University of Management Sciences, Lahore, Pakistan.
3. MRI and MEG Safety and Training Course (2017), CiNet, NICT, Osaka, Japan.
4. BrainSuite Training Workshop (2017), The University of British Columbia, Vancouver, Canada.
5. FSL Course (2017), The University of British Columbia, Vancouver, Canada.
6. OHBM Educational Course: Pattern Recognition for Neuroimaging, OHBM 2018, Singapore.
7. Foundations of University Teaching and Learning (2011), Center for Learning and Teaching, The Australian National University, Canberra, Australia.
8. Graduate Teaching Program (2011), Center for Learning and Teaching, The Australian National University, Canberra, Australia. 
9. International Travelling Summer School on Microwaves and Lightwaves (2008), Czech Technical University, Prague, Czech Republic. 
10. International Travelling Summer School on Microwaves and Lightwaves (2006), Warsaw University of Technology, Warsaw, Poland. 

Honors and Awards:

1. HEC Approved PhD Supervisor, 2023, Islamabad, Pakistan.
2. Outstanding Research Award, ISMRM-JPC, 2019, Chiba, Japan.
3. Best Presentation Award, Exceptional Performance in the Group Work, CiNet, NICT, 2017, Osaka, Japan.
4. Key scientific article contributing to excellence in engineering scientific and industrial research, 2015, Advances in Engineering, Canada.
5. Invited Chair Oral Session, Brain Functional Imaging, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, Milan, Italy.
6. European Engineer (EUR ING), the European Federation of National Engineering Association (FEANI), 2013, Brussels.
7. Richard Newton Excellence in Research Award, NICTA Techfest 2011, Sydney, Australia.
8. Australian National University Higher Degree Research merit scholarship from 2010 to 2014, Canberra, Australia.
9. Australian National University – National ICT Australia PhD scholarship from 2010 to 2014, Canberra, Australia.
10. National ICT Australia supplementary scholarship from 2010 to 2014, Canberra, Australia.
11. Peter Fuld Stiftung Merit Award, 2007, TU Darmstadt, Germany.
12. Dean’s Honour Roll for Academic Distinction, 2002, FEE, GIK Institute, Topi-Swabi, Pakistan.
13. Ministry of Science & Technology Merit Scholarship, 2000, Islamabad, Pakistan.

Selected Publications

Journal Publications:

1.       Y. Kadono, K. Koguchi, K. Okada, K. Hosomi, M. Hiraishi, T. Ueguchi, I. Kida, A. Shah, G. Liu, and Y. Saitoh, “Repetitive transcranial magnetic stimulation restores altered functional connectivity of central poststroke pain model monkeys”, Volume 11 Issue 1 of Nature Scientific Reports, pp-1-13, 2021.

2.       X. Zhou, A. K. Seghouane, A. Shah, H. Innes-Brown, W. Cross, R. Litovsky, and C. M. McKay,“Cortical speech processing in postlingually deaf adult cochlear implant users, as revealed by functional near-infrared spectroscopy”, Volume 22 of Trends in Hearing, pp 1-18, 2018, Open Access by SAGE.

3.       C. M. McKay, A. Shah, A. K. Seghouane, X. Zhou, W. Cross, and R. Litovsky, “Connectivity in language areas of the brain in cochlear implant users as revealed by fNIRS”, Book: Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing, Volume 894 of the series Advances in Experimental Medicine and Biology, pp 327-335, 2016, Open Access by Springer.

4.       A. K. Seghouane, A. Shah, C. M. Ting, “fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift”, Digital Signal Processing, vol. 66, pp. 29-41, 2017.

5.       A. Shah, “A model-free de-drifting approach for detecting BOLD activities in fMRI data”, Journal of Signal Processing Systems, vol. 79(2), pp. 133-143, 2015.

6.       A. Shah and A. K. Seghouane, “An integrated framework for joint HRF and drift estimation and HbO/HbR signal improvement in fNIRS data,” IEEE Transactions on Medical Imaging, vol. 33 (11), pp. 2086–2097, 2014.

7.       A. K. Seghouane and A. Shah, “HRF estimation in fMRI data with unknown drift matrix by iterative minimization of the Kullback-Leibler divergence”, IEEE Transactions on Medical Imaging, vol. 31 (2), pp. 192–206, 2012.

 

Peer Reviewed Conference Publications:

1.       G. Liu, A. Shah, T. Ueguchi, and S. Ogawa, “Comparison of BOLD detectability of ‘multi shot EPI’ and ‘single shot EPI with GRAPPA’ at 7T”, Abstract #3654, Joint  Annual Meeting ESMRMB-ISMRM, May 2022, London, UK.

2.       G. Liu, A. Shah, T. Ueguchi, and S. Ogawa, “BISEPI for enhanced detection of BOLD activity in isotropic submillimeter resolution fMRI at 7T”, Abstract #2155, OHBM Annual Meeting, June 2022, Glasgow, UK.

3.       G. Liu, A. Shah, T. Ueguchi, and H. Kuribayashi, “Comparison of BOLD and VASO in submillimeter high-resolution fMRI based on BISEPI at 7T”, pp. 2100, OHBM Annual Meeting, 2021.

4.       G. Liu, A. Shah, T. Ueguchi, and S. Ogawa, “Shot-wise separate motion correction and ICA denoising for BISEPI high-resolution fMRI study at 7T”, pp. 3381, ISMRM & SMRT Annual Meeting, 15-20 May 2021.

5.       A. Shah, G. Liu, T. Ueguchi, and S. Ogawa, “Robust activity detection in fMRI at 7T with ICA denoising and optimal de-drifting”, The 5th Annual Scientific Meeting of ISMRM Japanese Chapter, Online, Oral-Presentation, 12 Dec. 2020.

6.       A. Shah, G. Liu, and T. Ueguchi, “Distortion- and resolution-matched T1w-Like anatomy for investigating depth-dependent activity in submillimeter-resolution fMRI at 7T”, pp. 3873, ISMRM & SMRT Virtual Conference & Exhibition 08-14 August 2020.

7.       G. Liu, A. Shah, and T. Ueguchi, “Cortical depth-dependent function analysis in the native EPI Space based on BISEPI at 7T”, Poster# 2082, OHBM Annual Meeting 2020. Virtual-Meeting.

8.       G. Liu, A. Shah, and T. Ueguchi, “Simultaneous functional and anatomical high-resolution imaging using BISEPI at 7T”, pp. 3819, ISMRM & SMRT Virtual Conference & Exhibition 08-14 August 2020.

9.       A. Shah, T. Ueguchi, and G. Liu, “T1w MPRAGE transformation based on distortion-matched anatomy for high-resolution fMRI”, pp. 3945, ISMRM 27th Annual Meeting & Exhibition 2019, Montreal, Canada.

10.    G. Liu, A. Shah, T. Ueguchi R. Allen Waggoner, S. Gupta, and K. Tanaka, “EPI based MR thermometry and real-time monitoring for parallel RF transmission at 7T”, pp. 3943, ISMRM 27th Annual Meeting & Exhibition 2019, Montreal, Canada.

11.    A. Shah, G. Liu, and T. Ueguchi, “EPI based distortion- and resolution-matched T1-Like anatomy for submillimeter-resolution fMRI at 7T”, OHBM Annual Meeting 2019, Poster# 2591, Rome, Italy.

12.    A. Shah, G. Liu, and T. Ueguchi, “Investigating Depth-Dependent Activity in Submillimeter-Resolution fMRI at 7T with Native-Space Transformed T1w MPRAGE Anatomy”, The 7th International Congress on Magnetic Resonance Imaging & 24th Annual Scientific Meeting of KSMRM, ICMRI 2019, Seoul, South Korea.

13.    A. Shah, G. Liu, and T. Ueguchi, “How high resolution can we go to detect brain activity with MRI?”, The CiNet Research Workshop for University Students 2019, Mar 12-13, 2019, CiNet/NICT, Osaka, Japan.

14.    A. Shah, G. Liu, and T. Ueguchi, “Submillimeter-resolution fMRI at 7T with distortion- and resolution-matched anatomy based on EPI”, The 5th CiNet/NICT Conference, Computation and Representation in Brains and Machines, Feb 20-22, 2019, Osaka, Japan.

15.    A. Shah, T. Ueguchi, and G. Liu, “T1w transformation for identifying distortions in functional imaging at 7T MRI”, The 3rd annual scientific meeting of Japanese Chapter of ISMRM, 2018, Nagoya, Japan.

16.    G. Liu, T. Ueguchi, and A. Shah, “Super-high-resolution fMRI at 7T”, The 1st OISTｘCiNet Workshop for Future Neuroscience and Technology 2018, Oct 17-19, Okinawa, Japan.

17.    A. Shah, T. Ueguchi, and G. Liu, “Transforming T1w anatomy into functional space using full brain IR-EPI for high-resolution fMRI at 7T”, 2nd Japanese Meeting for Human Brain Imaging (JHBI) 2018, Machida, Tokyo, Japan.

18.    A. Shah, T. Ueguchi, and G. Liu, “Improving tissue contrast and segmentation of MPRAGE based anatomical imaging at UHF 7T MRI”, 2nd Japanese Meeting for Human Brain Imaging (JHBI) 2018, Machida, Tokyo, Japan.

19.    A. Shah, T. Ueguchi, and G. Liu, “Distortion-Matched Anatomical Imaging using Inversion Recovery-Prepared EPI for high-resolution fMRI”, OHBM Annual Meeting 2018, Singapore. Oral Session: Imaging Methods – Acquisition I, Poster# 1727 in Poster Sessions Tuesday, Wednesday, Thursday from 13:45 – 14:45.

20.    G. Liu, A. Shah, and T. Ueguchi, “Block-Interleaved Segmented EPI for voxel-wise high-resolution fMRI studies at 7T”, pp. 5450, Scientific Meeting of the ISMRM-ESMRMB 2018, Paris, France.

21.    X. Zhou, W. Cross, A. Shah, A. K. Seghouane, R. Litovsky, and C. M. McKay, “Using fNIRS to study neuroplasticity and speech perception in cochlear implant users”, Association for Research in Otolaryngology (ARO) 39th MidWinter Meeting 2016, San Diego, USA.

22.    A. Shah, A. K. Seghouane, and C. M. McKay, “Functional connectivity assessment of language areas in cochlear implant users using fNIRS”, Australian Biomedical Engineering Conference (ABEC) for the College of Biomedical Engineers within Engineers Australia, pp. 1-5., 2015, Melbourne, Australia.

23.    A. Shah, M. U. Khalid, and A. K. Seghouane, “Recovering HRFs from overlapping ROIs in fMRI data using thresholding correlations for sparse dictionary learning”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5756 – 5759, 2015, DOI: 10.1109/EMBC.2015.7319700, Milan, Italy.

24.    M. U. Khalid,A. Shah, and A. K. Seghouane, “Sparse dictionary learning for fMRI analysis using autocorrelation maximization”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4286 – 4289, 2015, DOI: 10.1109/EMBC.2015.7319342, Milan, Italy.

25.    C. M. McKay, A. Shah, A. K. Seghouane, X. Zhou, W. Cross, and R. Litovsky, “Brain plasticity due to deafness as revealed by fNIRS in cochlear implant users”, Conference on Implantable Auditory Prostheses (CIAP), Speaker Abstract S29, p. 51, July 12-17, 2015 Lake Tahoe, USA.

26.    A. Shah, A. K. Seghouane, and C. M. McKay, “Resting state connectivity in language areas: an fNIRS study of normally-hearing listeners and cochlear implant users”, Conference on Implantable Auditory Prostheses (CIAP), Poster Abstract, Tuesday T10, July 12-17, 2015, Lake Tahoe, USA.

27.    A. K. Seghouane and A. Shah, “Consistent estimation of the fMRI hemodynamic response function in AR (1) noise”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 596 – 599, DOI: 10.1109/ISBI.2015.7163829, 2015, New York, USA.

28.    C. M. McKay, A. Shah, A. K. Seghouane, X. Zhou, W. Cross, and R. Litovsky, “Connectivity in language areas of the brain in cochlear implant users as revealed by fNIRS”, 17th International Symposium on Hearing (ISH), pp. 267–274, Chapter 34, Talk Thursday, June 15-19, 2015, Groningen, Netherlands.

29.    A. Shah and A. K. Seghouane, “A model-free approach to increasing the effect size of fNIRS data”, IEEE International Workshop on Statistical Signal Processing (SSP), pp. 77–80, 2014, DOI: 10.1109/SSP.2014.6884579, Gold Coast, Australia.

30.    A. K. Seghouane and A. Shah, “Sparse estimation of hemodynamic response function in functional near infrared spectroscopy”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2074–2078, 2014, DOI: 10.1109/ICASSP.2014.6853964, Florence, Italy.

31.    A. Shah and A. K. Seghouane, “Model-free optimal de-drifting and enhanced detection in fMRI data”, IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1–6, 2013, DOI: 10.1109/MLSP.2013.6661963, Southampton, UK. Selected among the best papers and invited for publication in Journal of Signal Processing Systems.

32.    A. Shah and A. K. Seghouane, “Consistent estimation of the hemodynamic response function in fNIRS”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1281–1285, 2013, DOI: 10.1109/ICASSP.2013.6637857, Vancouver, Canada.

33.    A. Shah and A. K. Seghouane, “Estimation of hemodynamic response function for un-delineated overlapping ROIs in fMRI data based on sparse dictionary learning”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1516–1519, 2013, DOI: 10.1109/ISBI.2013.6556823, San Francisco, USA.

34.    A. K. Seghouane and A. Shah, “Consistent hemodynamic response function estimation in functional MRI by first order differencing”, IEEE International Symposium on Biomedical Imaging (ISBI), 2013, DOI: 10.1109/ISBI.2013.6556467, San Francisco, USA.

35.    A. K. Seghouane and A. Shah, “Functional brain connectivity as revealed by singular spectrum analysis”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5186–5189, 2012, DOI: 10.1109/EMBC.2012.6347162, San Diego, USA.

36.    A. Shah, M. U. Khalid, and A. K. Seghouane, “Comparing causality measures of fMRI data using PCA, CCA and vector autoregressive modelling”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6184–6187, 2012, DOI: 10.1109/EMBC.2012.6347406, San Diego, USA.

37.    M. U. Khalid, A. Shah, and A. K. Seghouane, “Adaptive 2DCCA based approach for improving spatial specificity of activation detection in functional MRI”, IEEE International Conference on Digital Image Computing Techniques and Applications (DICTA), pp. 1–6, 2012, DOI: 10.1109/DICTA.2012.6411709, Perth, Australia.

Theses:

1. A. Shah, “HRF estimation, de-drifting and connectivity in non-invasive functional neuroimaging fMRI and fNIRS data”, Ph.D. Thesis, College of Engineering and Computer Science, The Australian National University, Canberra, Australia, July 2014. Supervisors: Assoc. Prof. Abd-Krim Seghouane, Prof. Jochen Trumpf, and Prof. Nick Barnes
2. A. Shah, “Investigation, optimization and characterization of 3rd order single-loop delta-sigma modulator based fractional synthesizer”, MS Thesis, Department of Electrical and Electronic Engineering, Darmstadt University of Technology, Darmstadt, Germany, February 2008. Supervisors: Dipl.-Ing. Andreas Loth and Prof. Hans L. Hartnagel

Master/Research students supervised/mentored:

  1. M. F. Shahid, CAE, NUST, Pakistan. 2022-2023
  2. M. W. B. Rajput, CAE, NUST, Pakistan. 2022-2023
  3. M. Khalil, CAE, NUST, Pakistan. 2022-2023
  4. M. S. Ikram, CAE, NUST, Pakistan. 2022-2023
  5. W. Cross, The University of Melbourne, Australia. 2014-2015

Senior design projects supervised:

  1. “AI Powered Smart Helmet for Industrial Safety”, by N. Orya, R. E. Zahra, and A. Mir. FCSE, GIKI, 2026.
  2. “Deep Learning-based Speech Enhancement for Hearing Aids”, by I. Ahmed, M. Ijaz, and Mariam. FCSE, GIKI, 2026.
  3. “Chrome Cross: VR Boxing Game”, by S. A. Hassan, M. M. Karim, S. Rehman, and H Ahmer. FCSE, GIKI, 2025.
  4. “Seeing through the skin: Body wearing camera system for the Blind and Patrol Officers” by A. Fayyaz Class of 94 EC (B), CAE, NUST, 2023.
  5. “RF-NIRS based wearable device for non-invasive measurement of blood sugar level” by J. Liaqat Class of 94 EC (B), CAE, NUST, 2023.

Participation in International conferences, workshops, meetings:

Germany (2006, 2007)
Poland (2006)
Czech Republic (2008)
Australia (2010, 2011, 2012, 2013, 2014, 2015, 2016)
UK (2013)
Italy (2014, 2015, 2019)
Japan (2017, 2018, 2019, 2020, 2021)
Singapore (2018)
Canada (2017, 2019)
South Korea (2019)

Technical Reviewer:

1. IEEE Transactions on Medical Imaging
2. Multivariate Behavioral Research
3. Human Brain Mapping
4. Brain Structure and Function

Membership of Professional Bodies:

1. Member European Federation of National Engineering Associations (FEANI), Brussels, Reg. No. 32246
2. Professional Engineer, Pakistan Engineering Council (PEC), Islamabad, Reg. No. Electro / 6814

 

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