Designation, Qualifications: Associate Professor, Ph.D., Post-Doc

Areas of Interest: Computer vision, Biomedical imaging, time‐series data analysis, solving healthcare problems, optimization of antenna design using AI and Deep learning techniques.

E-mail: satya002u@gmail.com, satya.prakash@nsut.ac.in

 Google Scholar, ResearchGate, Linkedin

Selected Publications:

1. Satya P. Singh, Lipo WANG, Sukrit Gupta, Parasuraman Padmanabhan, and Balázs Gulyás (2020) “Shallow 3D CNN for Detecting Acute Brain Hemorrhage from Medical Imaging Sensors”. IEEE Sensors Journal.

2. Satya P. Singh, Aime Lay Ekuakille, Sukrit Gupta (2020) “Deep ConvLSTM with self‐attention for human activity decoding using wearables”, IEEE Sensors Journal.

3. Justin Ker, Satya P. Singh, Lipo WANG (2019), “Image Thresholding Improves 3-Dimensional Convolutional Neural Networks Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scan”, Sensors, 19(9), 2167.

4. Aimé Lay‐Ekuakille, Moise Avoci Ugwiri, John Peter Djungha Okitadiowo, Vito Telesca, Pietro Picuno, Consolatina Liguori, Satya P. Singh (2020), “SAR sensors measurements for environmental classification: Machine learning‐based performances”. IEEE Instrumentation & Measurement Magazine , 23(6), pp. 23 ‐ 30.

5. Satya P. Singh, Shabana Urooj (2016), “An improved CAD system for breast cancer diagnosis based on generalized pseudo‐Zernike moment and Ada‐ DEWNN classifier”, Journal of Medical System, 40(4), p.105. f. Satya P Singh, and Shabana Urooj (2016), ”Breast Cancer Detection using PCPCET and ADEWNN: A Geometric Invariant Approach to Medical X‐rays Image Sensors”. IEEE Sensors Journal, 16(12), pp.4847‐4855.

Bio-Sketch:

Dr. Singh holds a Doctoral Degree in Electrical Engineering  with specialization in Artificial Intelligence and Medical Imaging, a Master  Degree in Electronics Engineering from YMUST, Faridabad, India, and a Bachelor's Degree in Electronics and Telecommunication Engineering from Institutions of Electronics and Telecommunication Engineers, New Delhi India.

Dr. Satya P. Singh is an Associate Professor in the Department of Electronics and Communication Engineering, Netaji Subhas University of Technology (NSUT) (formerly Netaji Subhas Institute of Technology), New Delhi. Before joining NSUT, Dr. Singh has worked as a Post‐Doctoral Research Fellow (2018-2021) at Nanyang Technological University, Singapore, as an Assistant Professor (2011-2018) at Galgotias College of Engineering and Technology, India, and as an Assistant Professor (2009-2011) at Rawal Institute of Engineering and Technology, Faridabad, India.

His research area includes Biomedical imaging (DTI, MRI, fMRI, CT, ECG medical imaging modalities), and solving healthcare problems using AI and deep learning, Pattern recognition, Feature Extraction/Selection, Analysing Important Features Decoding, Learning Important Features, Classification, Segmentation. His research expertise includes Python Libraries (Keras, TensorFlow, PyTorch, Scikit‐learn, NumPy, Pandas, Scipy, Matplotlib, Seaborn OpenCV)Programming skills (Python, MATLAB, C, Assembly, PLC‐SCADA) OS (Linux, macOS, Windows), and Medical Images (CT scans, MRI, fMRI, DTI, X‐rays) Medical Image Processing Software (SPM, FSL, DTK, MRtrix, MRIcron, free surfer, Nipype, and ExploreDTI).

He is serving as an Associate Editor for Measurement (Elsevier), Measurement‐ Sensors (Elsevier) , Measurement ‐ Food (Elsevier) Journals. He has published more than 60 research papers in reputed International Journals, Proceedings of International and National Conferences.

Research Projects:

1. DATA SCIENCE AND AI RESEARCH (DSAIR) CENTER, SINGAPORE (100,000 SGD)  Aug 2019 ‑ Sept. 2021

Title: Artificial Intelligence and Multimodal Population Health Data: Platform Establishment and preliminary analysis.

2. THE DEANSHIP OF SCIENTIFIC RESEARCH AT PRINCESS NOURAH BINT ABDULRAHMAN UNIVERSITY (48, 000 SAR)      JAN 2021 to June 2021

Title: Encoding and decoding of brain functional connectivity implicated in Alzheimer’s disease.

3. ACRF TIER‑1 GRANT, MINISTRY OF EDUCATION (MOE), SINGAPORE (99,000 SGD), March 2018 – Aug. 2019

Title: Study Of Alzheimer’s Disease Heterogeneity And Progression Using Latent Grey‑Matter Atrophy And White Matter Impairment Factors.

4. NNI‑NTU NEURO TECHNOLOGY FELLOWSHIP, SINGAPORE (99,000 SGD) Jan. 2018 ‑ Dec. 2018

Title: Using machine learning to diagnose, annotate and prognosticate computed tomography brain scans.

5. MINISTER OF HUMAN RESOURCE DEVELOPMENT (MHRD) FELLOWSHIP, INDIA

Title: Detection and Severity Assessment of Breast Cancer Using Machine Learning

6. MINISTER OF HUMAN RESOURCE DEVELOPMENT (MHRD) FELLOWSHIP, INDIA

Title: Human Activity Recognition Using Machine Learning

Publications in International Journal

 

Publications in National Journal

 

Publications in National Conferences

 

Publications in International Conferences

 

Books/Book Chapters