Vision & Mission
tawseef.shaikh@nitsri.net
-
Website URL
Computer Science & Engineering Department, National Institute of Technology (NIT) Srinagar, J&K, 190006.
Download CV

Dr.Tawseef Ayoub Shaikh

Assistant Professor

Biomedical Data Analytics, Computer Aided Diagnostics Tools for Precision Medicine, Healthcare Informatics, Pattern Recognition, Machine Intelligence and Deep Learning

Education

Degree Institute CGPA Year Subject Description
Ph. D. 2020 Computer Engineering Fulltime Visvesvaraya PhD Scholar awarded by Ministry of Electronics & Information Technology (MeitY), Govt of India, at Aligarh Muslim University.
UGC-NET 2018 Computer Science & Engineering JKSLET (2017), GATE Qualified (2015)
M.TECH 2014 Computer Science & Engineering
B.TECH 2011 Computer Science & Engineering

Publications Journal

Month-Year Authors Paper Title Volume PageNo DOI Impact Factor Type Journal Name
JUN 2022 Machine Learning for Smart Agriculture and Precision Farming: Towards Making the Fields Talk”, Archives of Computational Methods in Engineering, Springer, Vol:4, pp: 1-41 (SCIE, IMPACT FACTOR 7.51)
JUL 2022 Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming”, Computers and Electronics in Agriculture, Vol: 198, 107119 (SCI, IMPACT FACTOR 6.51)
AUG 2022 Automated Alzheimer's Disease Detection from Brain MRI Images Using a Smart Classifier Fusion Approach”, Science, Engineering, and Health Studies SEHS Journal, Vol: 16, pp: 1-9. (SCIE, IMPACT FACTOR 3.1)
SEP 2022 “A Data-Centric Artificial Intelligent and Extended Reality Technology in Smart Healthcare Systems”, Social Network Analysis and Mining, Springer.
FEB 2021 “An Intelligent Healthcare System for Automated Alzheimer’s Disease Prediction and Personalized Care”, International Journal of Next-Generation Computing (IJNGC), Vol: 12, Issue: 2, pp: 240-253.
NOV 2021 Enhanced computerised diagnosis of Alzheimer’s disease from brain MRI images using a classifier merger strategy”, International Journal of Information Technology (IJIT), Vol: 14, pp: 1791-1803, Springer,
MAY 2021 Automated Machine Learning Tool for Breast Cancer Diagnosis for Healthcare Professionals”, Health Systems Journal, Taylor and Francis, 2021, pp: 1-31.
JUL 2020 An intelligent healthcare system for optimised breast cancer diagnosis using harmony search and simulated annealing (HS-SA) algorithm”, Elsevier, Informatics in Medicine Unlocked, Vol: 21, pp: 1-21.
JUN 2020 Transfer learning privileged information fuels CAD diagnosis of breast cancer”, Machine Vision and Applications, Springer, Vol: 31, Issue: 1, pp: 1-23 (SCIE, IMPACT FACTOR 2.01)
MAR 2019 Automated atrophy assessment for Alzheimer’s disease diagnosis from brain MRI images”, Magnetic Resonance Imaging, Elsevier, Vol: 62, pp: 167-173, 2019 (SCIE, IMPACT FACTOR 2.89)
FEB 2019 “Big Data for Better Indian Healthcare”, International Journal of Information Technology (IJIT), Springer, Vol: 11, issue: 4, pp: 735-741,
APR 2017 “Intelligent Distributed K-means Algorithm over Cloudera /Hadoop”, in International Journal of Education and Management Engineering (IJEME), MECS PRESS.
JUL 2017 Machine Learning: Messiah of 21st Century,” CSI Communications, ISSN 0970-647X, Vol: 41, Issue: 8, pp: 6-9.
APR 2014 A Prototype of Parkinson’s and Primary Tumor Diseases Prediction Using Data Mining Techniques”, International Journal of Engineering Science Invention (IJESI), Vol: 3, Issue: 4, pp: 23- 28.

Publications Conference

Month-year Authors Type Identifier Title Conference Name
MAY 2021 Soil Erosion Estimation Using RUSLE Model and GIS-A Case Study of Himalayan Sub-watershed "Soil Erosion Estimation Using RUSLE Model and GIS-A Case Study of Himalayan Sub-watershed" Proceedings of AGU Fall Meeting 2021, McCormick Place Convention Center 2301 S. Lake Shore Drive Chicago.
MAR 2021 “Automated Fiber Quantification for Alzheimer’s Disease Diagnosis from Neuropsychological Biomarkers “Automated Fiber Quantification for Alzheimer’s Disease Diagnosis from Neuropsychological Biomarkers", 7th International Conference on Advanced Computing and Communication Systems (ICACCS).
MAR 2021 Machine learning approaches for detection and diagnosis of Parkinson’s Disease-A Review "Machine learning approaches for detection and diagnosis of Parkinson’s Disease-A Review", 7th International Conference on Advanced Computing and Communication Systems (ICACCS).
MAR 2020 A CAD Tool for Breast Cancer Prediction using Naive Bayes Classifier "A CAD Tool for Breast Cancer Prediction using Naive Bayes Classifier", International Conference on Emerging Smart Computing and Informatics (ESCI) AISSMS Institute of Information Technology, Pune, India
NOV 2019 A Novel Method Based on Privileged Information for Breast Cancer Classification "A Novel Method Based on Privileged Information for Breast Cancer Classification", International Conference on Computational Mathematics and its Applications (CMA 2019), Organised by Discipline of Mathematics Indian Institute of Technology Indore.
OCT 2018 “Combating Breast Cancer by an Intelligent Ensemble Classifier Approach “Combating Breast Cancer by an Intelligent Ensemble Classifier Approach", International Conference on Bioinformatics and Systems Biology, (BSB-2018), hosted by IEEE Computer Society in collaboration with the Computer Society of India (CSI), held at IIIT Allahabad, India.
MAR 2018 Applying Machine Learning Algorithms for Early Diagnosis and Prediction of Breast Cancer Risk "Applying Machine Learning Algorithms for Early Diagnosis and Prediction of Breast Cancer Risk, "Springer LNNS Series-2nd International Conference on Communication, Computing CONFERENCE PUBLICATIONS/PRESENTED and Networking.
MAR 2017 A Dynamic Approach to Medical Data for Smart Indian Healthcare "A Dynamic Approach to Medical Data for Smart Indian Healthcare", International Conference on Big Data Analytics And Computational Intelligence (ICBDACI-2017), Chirala, Andhra Pradesh, India
DEC 2016 “Quantum Computing in Big Data Analytics: A Survey “Quantum Computing in Big Data Analytics: A Survey", 16th IEEE International Conference on Computer and Information Technology held in Fiji.
MAR 2016 “Soft Computing in Data Mining: A Tool for Computational Web Intelligence (CWI)” “Soft Computing in Data Mining: A Tool for Computational Web Intelligence (CWI)”, 4th National Conference on Innovation in Computing and Communication Technology, held at Kongunadu College of Engineering and Technology, Tiruchirappalli

Book Published

  • Decrypting the Black Boxing of Artificial Intelligence Using Explainable Artificial Intelligence in Smart Healthcare”, published in the book “Connected e-Health: Integrated IoT and Cloud Computing”, Springer, IBBN: 978-3-030-97929-4., 2022
  • “Smart Approaches for Diagnosis of Brain Disorders using Artificial Intelligence” In Production of the book “Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques” CRC Press, Taylor and Francis Group, ISBN: 9781003265436., 2022
  • AI-Enabled IoT for Smart Healthcare Systems”, Published by Nova Publishers USA, 2022., 2022
  • Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques”, Published by CRC Taylor & Francis, 2022., 2021
  • “An AI-based Cyber-physical System for 21st based Intelligent Healthcare”, published in the book “Cyber-Physical Systems: Research Issues and Challenges”, CRC Press, Taylor and Francis Group: ISBN: 9781032065465., 2021
  • “Towards the Smart Diagnosis of Brain Disorders Using Artificial Intelligence”, In Production of the book “AI-Enabled IoT for Smart Healthcare Systems”, Published by Nova Publishers USA, 2022., 2021
  • Fog- IoT environment in smart healthcare: A case study for student stress monitoring”, published in the book “Fog Computing for Healthcare 4.0Environments: Technical, Societal, and Future Implications” published by Springer. (pp:211-250), ISBN: 978-3-030-46197-3 (Scopus)., 2020
  • “Quantum computation for big information processing”, published in book “Blockchain big data and machine learning trends and applications” published by CRC Press, Taylor and Francis Group, ISBN: 9780367370688., 2020
  • “Computer-aided big healthcare data (BHD) analytics”, published in the book entitled “Big data analytics and intelligence: A perspective for Healthcare”, published by Emerald Publishing, ISBN: 978-1-83909- 100-1., 2020