EXPERIENCES

An academician, researcher and STEM certified with ability to deliver knowledge and transforming group of people into highly effective and productive teams.

Since 2004, working in academic and research which includes 3 years working University of Pittsburgh, USA as a researcher.

Certified in Leading People in Organizations, by Joseph M. Katz Graduate School of Business University of Pittsburgh, Pittsburgh, USA

Dr Sheeraz Akram

Google Scholar, ResearchGate, LinkedIn, Twitter
Postdocrate

University of Pittsburgh, USA (2019-2022)

Areas of Expertise
  • Medical Image Processing
  • Data Science
  • Artificial intelligence
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Digital Image Processing
  • Artificial Intelligence in Healthcare
  • Artificial Intelligence in Agriculture
Current Affiliation

Associate Professor,

Department of Computer Science,

Faculty of Computer Science and Information Technology,

The Superior University Lahore, Punjab, Pakistan

achievements
  • Worked on project at University of Pittsburgh, USA funded through grant U01 HL137159
  • STEM Certification by University of Pittsburgh, USA in collaboration with Center for Integrative Research, Teaching and Learning (CIRTL)
  • Won Higher Education Commission (HEC) of Pakistan Travel Grant in 2016

BIBLIOGRAPHY

Dr Sheeraz Akram is currently working as Associate Professor in the Department of Computer Science, Faculty of Computer Science & Information Technology, Superior University Lahore, Pakistan. He completed his Postdoctoral Research Training from University of Pittsburgh, USA and worked on a project funded through grant U01 HL137159. Dr Sheeraz completed STEM Certification and Certification of Leading People in Organization from University of Pittsburgh, USA. He completed his PhD in software engineering from National University of Sciences and Technology (NUST), Islamabad, Pakistan and Master of Science in Computer Science from Lahore University of Management Sciences (LUMS), Lahore Pakistan. Dr Sheeraz has worked at various universities and trained undergraduate and graduate students from industrial, academia and research. He attended multiple conferences and workshops both at national and international level. Dr Sheeraz published his work in international conferences and journals. He has been awarded by Higher Education Commission (HEC) of Pakistan with a Travel Grant in 2016. He has experience of 15 years of working at universities which includes 3 years of international research experience. Dr Sheeraz’s research interests include Data Science, Medical Image Processing, Artificial Intelligence in Data Science, Machine Learning, Deep Learning, Computer Vision and Digital Image Processing.

PhD Students - Supervised

Master Students - Supervised

Name: Abid Nazir
Thesis Title: Brain Tumor Detection with segmentation from MRI Images
Degree Title: Master of Science in Computer Science Completion
Year: 2022

Name: Shehla Shoukat
Thesis Title: Biometric and Face Recognition Based Hybrid Fraud Detection System for Banking Applications 
Degree Title: Master of Science in Computer Science
 Year: 2022

Name: Fatima Taj
Thesis Title: Prediction stages and analysis of COVID_19 Disease 
Degree Title: Master of Science in Computer Science 
 Year: 2022

Name: Mubarak Ahmad
Thesis Title: Intelligent Parts of Speech Tagging for Urdu Language
Degree Title :Master of Science in Computer Science
Year: 2022

Name: Shehroz Sarfraz 
Thesis Title:Location Based Sentiment Analysis of Topics Detected in Social Media
Degree Title: Master of Science in Computer Science
 Year: 2022

Name: Muhammad Rizwan
Thesis Title: Application of Object Detection in Biometric Techniques  
Degree Title: Master of Science in Computer Science 
 Year: 2022

Name: Usman Qayyum
Thesis Title: An overview of machine learning Techniques for crime detection
Degree Title :Master of Science in Computer Science
Year: 2022

RESEARCH CONFERENCES ATTENDED

  • 13th International Conference on Information Technology: New Generations (ITNG 2016),  (Proceedings to be published by Springer), Premier Hall for Advancing Science and Engineering (PHASE), April 11-13, 2016, Las Vegas, Nevada, USA
  • Science 2019 Conference, University of Pittsburgh, October 16-19, 2019, Pittsburgh, PA, USA 
  • Computational Medicine Conference, University of Pittsburgh, Wyndham Hall Pittsburgh University Center, October 29, 2019, Pittsburgh, PA, USA

JOURNAL PUBLICATIONS

  • “Lung Cancer Detection Using Modified AlexNet Architecture and Support Vector Machine”, Computers, Materials & Continua, 2022 
  •  “Performance Analysis of State-of-the-Art CNN Architectures for LUNA16”, Sensors 2022 
  •  “Fuzzy Based Hybrid Focus Value Estimation for Multi Focus Image Fusion”, Computers, Materials & Continua, 2022 
  • “ChoseAmobile: A Web-based Recommendation System for Mobile Phone Products”, Journal of Internet Technology, 2020
  • “An Ensemble Shape Gradient Features Descriptor Based Nodule Detection Paradigm: A Novel Model to Augment Complex Diagnostic Decisions Assistance”, Multimedia Tools and Applications – Springer, 2018
  • “XM-TREE: DATA DRIVEN COMPUTATIONAL MODEL BY USING METRIC EXTENDED NODES WITH NON-OVERLAPPING IN HIGH-DIMENSIONAL METRIC SPACES”, Computational and Mathematical Organization Theory – Springer, 2018
  • “An Ontology-Based Approach for Detecting Drug Abuse Epidemiology, Journal of Medical Imaging and Health Informatics, 2017
  • “Blind Detection of Copy-Move Forgery in Digital Audio Forensics”, IEEE Access, 2017
  • “Pulmonary Nodules Detection and Classification Using Hybrid Features from Computerized Tomographic Images”, 2016 
  • “Artificially intelligent recognition of Arabic speaker using voice print-based local features”, Journal of Experimental & Theoretical Artificial Intelligence, 2016
  • “Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques”, Journal of Experimental & Theoretical Artificial Intelligence, 2015
  • “Artificial Neural Network based Classification of Lungs Nodule using Hybrid Features from Computerized Tomographic Images”, Applied Mathematics & Information Sciences, 2015
  • “Facial expression recognition using computationally intelligent techniques”, Journal of Intelligent & Fuzzy Systems, 2015
  • “Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition”,  Scientific World Journal, 2014

CONFERENCE PUBLICATIONS

  • An Interactive Model for Creating Awareness and Consequences of Cyber-Crime in People with Limited Technology Skills”, 13th International Conference on Information Technology: New Generations (ITNG 2016)” April 11-13, 2016, Las Vegas, Nevada, USA” 143-149 
  • Automated Thresholding of Lung CT Scan for Artificial Neural Network Based Classification of Nodules” in 14th IEEE/ACIS International Conference on Computer and Information Science 2015 (ICIS), June 28, 2015 to July 1, 2015, Las Vegas, U.S.A. ISBN: 978-1-4799-8679-8, pp: 335-340, DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIS.2015.7166616 
  • Heart disease classification ensemble optimization using Genetic algorithm”,  2011, IEEE 14th International Multitopic Conference (INMIC), “22-24 Dec. 2011, Karachi, Pakistan”, 19-24
  • Gender classification using image processing techniques: A survey”, 2011, IEEE 14th International Multitopic Conference (INMIC), “22-24 Dec. 2011, Karachi, Pakistan”, 25-30
  • Formal specification of multi-agent environment using VDM-SL”, 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT), 2011, “29 Nov – 01 Dec 2011, International Convention Center Jeju Seogwipo, Korea (South)”, 150-154
  • Hybrid Mutation based Evolutionary approach for function optimization”, 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT), 2011, 29 Nov – 01 Dec 2011, “International Convention Center Jeju Seogwipo, Korea (South)”, 803-808