Dr Sharjeel Imtiaz

Curriculum Vitae   Dr. Sharjeel Imtiaz Assistant Professor, Mohammad Ali Jinnah University, Karachi, Pakistan Phone: +92 3004248287 E-mail: [email protected]; [email protected] ; [email protected]     Education ___________________________________________________     2015 - 2022                             University of East London, UK, Ph.D. Major: Data Science Advisor: Dr Allan & Dr Yang, Ph.D.   2003 - 2007                             International Islamic University, Pakistan, MS (CS) Major: Database Advisor: Dr Sikander Hayat Khayal, Ph.D.   1999 - 2001                             Arid and Agriculture University, Islamabad, MCS (CS) Major: Computer Science   1997-1999                               Punjab University, Bachelor of Science, Lahore Major: Math/Physics   Academic/Research Employment ________________________________________     Aug 2022 -                            Assistant Professor, Muhammad Ali Jinnah University, Karachi Present I conducted workshop on ML / big data Analytics, and it strengthen Masters/PhD students’ skills in programming and mathematical areas of ML and AI. Other duties are admin duties which are related to IEEE conferences publication chair and mange proceeding to submit at IEEE Xplore, and review the papers as editorial. Supervising Master’s thesis/Projects in the domain of data science and ML/Deep Learning/NLP. Submitted funding project for approval in ignite and plan many ideas in future. Participated in Police Retired IG funded conference. Participated as team member for Training Project at Ministry of IT, and mobilize team for financial feasibility.  Created strategies to strengthen CELDD in steering committee. Created Feasibility Study of master’s Data Science Program. Participated as Internal Examiners to master’s Thesis. Teaching ML/AI courses. Research Intertest in NLP with deep learning and ML.     March 2021 -                     Assistant Professor, Hamdard University, Karachi August 2022, I have performed various duties such as Curriculum committee moderator and OBE compliance with data science subjects, teaching data science subject, AI, Advance Analysis of Algorithm and Design, deep learning, machine learning and as head of committee formulated strategies, SOPs of department committees. Attained and worked on  fundings like WHO project as Data Analyst and ignite took funding of FYP Student projects.     Fall 2008 – Fall 2021         Lecturer IT, University of Technology and Applied Sciences, Oman   I was working as Lecturer IT and worked on role of Data scientist and got funds from Oman research council (TRC) about 3000 dollar and 5000 dollars, also developed curriculum of big data books, and various other books for all branches of university as a curriculum developer. Other tasks were on risk management plan, research committee and curriculum committee. I taught data science subjects and web development subjects.   Fall 2007- Spring 2008    Visiting Assistant Professor, University of Central Punjab, Lahore, Pakistan I have taught object-oriented programming and advance software engineering courses Advance software engineering, OOP and Design Course. Developed Database lab for Relational databases: Oracle11g and SQL server and software engineering course   2006 - 2007                         Trainer, NetSol Technologies, Lahore, Pakistan   Trained PSEB internship program students from prestigious universities all successfully got Job and attained skills. ·         Hands on training on hibernate and springer technology ·         Trained students on the software engineering and enterprise Java ·         Train students on design patterns in Java Tool/Technology/Language: MyEclipse, Java, SQL Server, Visio, Java Script, html, Hibernate, Springer, JSP, IIS, Source Safe       Fall 2003-                          Lecturer – IT, New Port College, Islamabad, Pakistan Spring 2005 Developed entire program of Bachelor Courses successfully executed with adequate resources in the Year 2004. Created short courses: .NET and Java Programming, which captured market attention department.           honors and awards ___________________________________________   2009                Outstanding Teaching Award University of Technology and Applied Sciences   2017                Outstanding Research Award   Awarded by University of Technology and Applied Sciences for attaining funded research projects from Oman Research Council in the domain of Data Science     Professional affiliations and services _________________________   Ad-hoc Reviewer Szabist, Journal of Independent Studies and Research Computing, Hec Y category Professional Organization Member IEEE, Springer, Elsevier, (Student from UEL) Royal Statistical Society membership   Committee Member Jawan Program Examiner, IQRA University   Publications ___________________________________________________   Thesis (British Library, 2022) A novel Auto-ML Framework for Sarcasm Detection   Peer-reviewed journal articles and invited book chapters   (IJACSA-2017), Sharjeel Imtiaz and Allan J. Brimicombe, "A Better Comparison Summary of Credit Scoring Classification" International Journal of  Advanced Computer Science and Applications (IJACSA), 8 (7), 20     Manuscripts in preparation/submitted for review ________________   DR Sharjeel Imtiaz., Dr Allan, Dr Yang Li. (in Review Springer IR). Sarcasm detection using generalized features through New AutoML framework.   DR Sharjeel Imtiaz., Dr Allan, Dr Yang Li. (in Review in MDP Sensors). Multiple domain Sarcasm detection using transfer learning new strategy using AutoML framework.           Conference Presentations ____________________________________   Proceedings   (Elsevier-2014), Sharjeel Imtiaz, A Patent Technique of Jaccard Discrete (J- DIS) Similarity Clustering Algorithm. Proceedings of "The 2nd International Conference on Applied Information and Communications Technology" -ICAICT 2014 (ISBN: 978-93- 5107-285-0). Muscat, Oman: Elsevier, Publications 2014   (IEEE-2005), Imtiaz, S., Hussain, A., & Hiyat, S. (2005, August). Using Agents for Unification of Information Extraction and Data Mining. Information and Communication Technologies, 2005. ICICT 2005. First International Conference on (pp. 197-200). IEEE. DOI:10.1109/ICICT.2005.1598583   Funding PROJECTS __________________________________________   Project 1: IOT Recommendation system for Oman tourism from Research   Council, Oman 2017-2018 Funding Amount:10000 SR Domain: Tourism Area: Big Data Analytics /IOT Module: Dashboard of Recommendation system Project 2: Real Time disaster management & alert system using MAP and weather IOT shield over cloud Environment”, Oman 2018-2019 Funding Amount: 18000 SR Domains: social media, Map, Weather Area: Big Data Analytics, IOT Module: Dashboard of Recommendation system and IOT simulation Project 3: Dell EMC Competition Project: Sarcasm and sales impact factors analysis using Walmart and amazon, 2017-2018 Module: Dashboard of predictive analysis   Books __________________________________________   DR Sharjeel Imtiaz. Big data analytics - A Data Science prospective (in preparation).         Other teaching experience ___________________________________ VISITING OF record April 2022                   Introduction to Big Data, Salim Habib, Karachi   Sept 2007                    Databases and Software Engineering, University Central Punjab, Lahore   teaching interests __________________________________________   Lectures: Machine Learning, Deep Learning, NLP, Data Science subjects, big data and Masters/PhD related subjects   Supervisions_________________________________________________ 7 – Masers Thesis 2 - PHD– Co-supervision   Professional Experience Data Scientist   - University of Technology and Applied Sciences Project 1: Tourism Recommendation System                       2 Year Developed Dashboard using R for TripAdvisor, explored the luxury hotel vs. 3-star aspect analysis, which type of hotel most recommended for Oman. This recommendation system recommends Ministry of Manpower about luxury hotel IOT services in hotel to promote the tourism. Developed Python/R based K-mean using map-reduce, ANOVA, and Visualization using Seaborn. Libraries: Sklearn, Statistics, Panda, Numpy, Seaborn       Project 2                                                                                  1 Year Developed IoT integration Dashboard which monitor level of water during different weather condition and predict that whether it is safe to travel in particular area. Project involve many tools and technologies: Java script based MapvD3, ggplot2 and Shiny and JSON, Leaflet IOT devices like megaboard, sensors of all temperature, R interface with Arduino using RServe.   MIS Manager   - Ministry of IT                                         2005-2006 MIS Manager and DBA for the Ministry of IT pilot project for data center, ERP application system for pilot ERP application for Data Centre. ·         Prepared Test Plan for the database DB2 that provide services for 400 employees on ERP application. ·         Trace and found bugs in modules ·         Reviewed and recommended requirement documents SRS and     SDS in record times to complete the delayed project. ·         Built a mock Network design for VPN of the data center using the Edraw ·         Fine -tune the database DB Technology: Java Hibernate and Springer, JSF           Web Master -Virtual University                                          2002-2003 ·         Web site maintenance and development, LMS management ·         Assignment module development, Tree Development at backend developer worked for Asp and visual basic