Nadeem Iqbal, PhD.

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Nadeem Iqbal, PhD.

Fulbright Research Fellow | Associate Professor

  • iqbaln@stjohns.edu
  • 17189257178

Computer Science, Mathematics and Science

The Lesley H. and William L. Collins College of Professional Studies

St. Johns University New York, USA.

Postdoctorate, Biomedical Engineering, University of Leeds, UK

PhD, Computer Science, KAIST, Republic of South Korea

 

Dr. Nadeem Iqbal is a Fulbright Scholar at St. John’s University, New York, USA. He received his Ph.D. in the field of Computer Science from the Korea Advanced Institute of Science and Technology and completed his postdoctoral fellowship at the University of Leeds UK. He’s also an Associate Professor at the Department of Computer Science AWKUM, Pakistan.  Dr. Iqbal has achieved the status of Associate Fellow (AFHEA) in recognition of attainment against the UK Professional Standards Framework for teaching and learning support in higher education.  He had been the recipient of various prestigious scholarships/fellowships. He was the recipient of the Fulbright Fellowship.

His current research efforts focus on addressing early detection of Parkinson’s and elderly patient fall detection using human gait analysis system based on wearable sensors. At St. John’s University, he also works with the NSF grant project related to work on biomedical content authoring and structured publishing healthcare Informatics.

With the university of Leeds research team, He investigated the development of a control system for recognizing human activities such as walking, steps and ramp ascending and descending utilizing neuromechanical sensors. The investigation was carried out on both able-bodied people and amputees with lower limb amputations. The findings support the development of smart neural-controlled lower limb prosthetics in the future and improve the quality of life for people who use a prosthetic limb.

His research has been published in IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Consumer Electronics, IEEE Sensor Journal, IEEE ACCESS, Elsevier BioCybernetics and Biomedical Engineering, Elsevier Computer methods and programs in biomedicine, Elsevier Chemometrics and Intelligent Laboratory Systems and Springer Journal of Grid Computing are few to mention. He has been guest editor of numerous special issues in various prestigious journals. He is a senior member of IEEE.

Awards and Honors

  • Senior Member IEEE
  • Associate Fellow of Advance HE, UK
  • Recipient of Fulbright Fellowship Award 2021-22
  • Member of Engineering in Medicine and Biology Society (EMBS)
  • Recipient of ITTA South Korean Government Award for PhD

Teaching Interests

  • Artificial Intelligence
  • Data Mining and Warehousing
  • Artificial Neural Networks
  • Data Science
  • Health Informatics/Bioinformatics

Research Interests

  • Biomedical and Health informatics
  • Machine Learning
  • Biomedical Information Retrieval

Courses Taught

  • ADVANCED NEURAL NETWORK
  • OPERATING SYSTEMS
  • DATA BASE MANAGEMENT SYSTEMS
  • DIGITAL IMAGE PROCESSING
  • INTRO HEALTHCARE INFORMATICS
  • ARTIFICIAL INTELLIGENCE
  • MACHINE LEARNING
  • COMPUTER VISION

Patents

  1. Nadeem Iqbal, Chang-Hwan Choi, Wonil Chang and Soo-Young Lee, Eye tracking device and method, Korea. 10-2008-0098056.
  2. Nadeem Iqbal, and Soo-Young Lee, Robust cornea estimation method using geometrical based eye tracking system. Korea. 10-2012-0070926.

Selected Journal Articles

  1. Iqbal, T. Khan, M. Khan, T. Hussain, T. Hameed and S. A. C. Bukhari, “Neuromechanical Signal-Based Parallel and Scalable Model for Lower Limb Movement Recognition,” in IEEE Sensors Journal, vol. 21, no. 14, pp. 16213-16221, 15 July, 2021, https://ieeexplore.ieee.org/document/9416692.
  2. Salman, M.Khan, and Nadeem Iqbal et al Spark Based Parallel Deep Neural Network model for classification of Large Scale RNAs into piRNAs and Non-piRNAs” IEEE-Access., July 2020. https://ieeexplore.ieee.org/document/9146636
  3. M.Tahir, Nadeem Iqbal, et al. “ Intent based recognition of walking and ramp activities for amputee using sEMG based lower limb prostheses”, Biocybernetics and Biomedical Engineering., May 2020. https://www.sciencedirect.com/science/article/abs/pii/S0208521620300772
  4. N.Azim, N.Iqbal, et al., “A Static Analysis of Wnt/β-Catenin and Wnt/Ca2+ Biological Regulatory Networks for ARVC Using Automata Network Model,” IEEE-Access., Vol. 9, pp. 107611-107624. July-2021. https://ieeexplore.ieee.org/abstract/document/9486895
  5. Nazia Azim , J. Ahmad , Nadeem Iqbal et al., “Petri Net modeling approach for analyzing the behavior of Wnt/β-catenin and Wnt/Ca2+ signaling pathways in arrhythmogenic right ventricular cardiomyopathy,” Journals of IET Systems Biology, June 2020. https://digital-library.theiet.org/content/journals/10.1049/iet-syb.2020.0038
  6. Fatima.,  M.Khan., Nadeem Iqbal, et al. “Prediction of Recombination Spots Using Novel Hybrid Feature Extraction Method via Deep Learning Approach”, Frontiers in Genetics., Aug 2020 https://www.frontiersin.org/articles/10.3389/fgene.2020.539227/full
  7. Farhan Maqbool, Nadeem Iqbal et al., and Abbas Dehghani, Heuristic Real Time Detection of Temporal Gait Events for Lower Limb Amputees., IEEE Sensors Journal, Vol.19, No.8, pp.3138-3148, 2019.04 https://ieeexplore.ieee.org/document/8590827
  8. M. Tahir, and Nadeem Iqbal et al., “Computational Model for the Recognition of Lower Limb Movement Using Wearable Gyroscope Sensor”, International Journal of Sensor Networks., April-2019. https://www.inderscience.com/info/inarticle.php?artid=99230

Keywords:

  • Biomedical Informatics
  • Artificial Intelligence
  • Data Warehousing
  • Big Data
  • Bioinformatics

Google Scholar: https://scholar.google.com.pk/citations?user=enk9k-8AAAAJ&hl=en

Publons: https://publons.com/wos-op/researcher/3200891/nadeem-iqbal/

Linkedln: https://www.linkedin.com/in/niqbalkhan/

Twitter: https://twitter.com/NadeemI87033053

ORCiD: Nadeem Iqbal (0000-0003-1050-1792) (orcid.org)

Our Experts

Fazel Keshtkar, PhD.

Associate Professor

Dr. Fazel Keshtkar is an Assistant Professor at the Department of Computer Science, ST. JOHN’S University, NYC (SJU), since 2016. Before joining SJU, from 2013-2016, Dr. Keshtkar was an Assistant Professor at Dept. of Computer Science, Southeast Missouri State University Fazel received his PhD and Master degrees in Computer Science from University of Ottawa, Canada, in 2011 and 2007, respectively.

Asim Abbas

Research Scholar

My name is Asim Abbas. Currently, I am working as a research scholar at St.Johns University, USA. I have completed my B.S. degree in computer science from Islamia University, Peshawar, Pakistan in 2015. I have completed my master’s at Kyung Hee University, South Korea in 2020. I have worked as a visiting researcher at Halmstad University, Sweden, for two months. My research interests include Deep Learning, Machine Learning, Natural Language Processing, Text Mining, and Health Informatics.

Steve Mbouadeu

Undergraduate Student

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Avinash Bisram

Undergraduate Student

I am a fourth-year undergraduate student in the Computer Science/Data Science BS/MS program at St. John’s University.

Jeffrey Hernandez

Undergraduate Student

Anica Singhal

High School Student

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