Jalal Suliman Alowibdi
Jalal S. Alowidbi
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About me

In 2014, I have completed my Ph.D. in computer Science from the Department of the Computer Science, College of Engineering, University of Illinois. During my studied, I worked closely with Prof. Philip S. Yu on various problems in data mining and privacy in social networks. The main problem, in which there is no solution, yet, is to detect deception in online social network such as Twitter. I was able to detect deception in online social network.

My professional goal is to be a good representative researcher in the field of Artificial Intelligent My research interests centered primarily around Artificial Intelligent, Online Social Networks (OSNs), Data Mining and Machine Learning. In particular, I am interested in privacy and classification in OSNs, information retrieval, collaborative learning, methodologies and processes for classifying, evaluating and comparing data information in order to predict patterns that lead to useful information. In addition, I am very motivative and eager to learn My concept is to read a lot specifically your interests, record every single idea comes to your mind, open your wise mind, think thoroughly in positive manner, answer a questionable question with thinkable and imaginable view, motivate and trust your ideas and yourself and Honestly, you will succeed easily. 

Education

  • 2009 - 2014, Ph.D in In Computer Science, University of Illionis, USA
  • 2007 - 2008, Master of Science in Software Engineering, DePaul University, USA
  • 2005 - 2006, Diploma For English Language, University of Central Florida, USA
  • 2001 - 2005, Bachelor of Science in Computer science, King Abdulaziz University, Saudi Arabia

Experiences

  • 2009 - 2010, Research Assistant in the Distributed Real-Time Intelligent Systems Laboratory, University of Illinois, USA
  • 2011 - 2012, Graduate Assistant & Web Developer, University of Illionis, USA
  • 2012 - 2012, Project Officer in Technology & General Services, Washington D.C, USA
  • 2010 - 2014, Research Assistant in Big Data and Social Computing Lab, University of Illinois, USA
  • 2011 - 2014, Senior Lecturer and Research in Faculty of Computing and Information Technology,King Abdulaziz University, Saudi Arabia
  • 2014 - Now, Assistant Professor in Faculty of Computing and Information Technology, King Abdulaziz University, Saudi Arabia
  • 2015 - 2017, Chair of the Department of Computer Science, University of Jeddah, Saudi Arabia
  • 2015 - 2017, Vice-Dean of Deanship of Information Technology, University of Jeddah, Saudi Arabia
  • 2015 - Now, Assistant Professor in College of Computer Sciences and Engineering, University of Jeddah, Saudi Arabia
  • 2016 - 2017, Vice-Director of King Abdulaziz University Observatory for Web, , King Abdulaziz University, Saudi Arabia
  • 2016 - Now, Directory of Web Services and E-learning Center, , University of Jeddah, Saudi Arabia
  • 2017 - Now, Directory of Education Services Administrator, University of Jeddah, Saudi Arabia
  • 2019 - Now, Associate Professor in College of Computer Sciences and Engineering, University of Jeddah, Saudi Arabia
  • 2019 - Now, CIO, University of Jeddah, Saudi Arabia

Researches

  • Jalal S. Alowidbi, Ali Daud, Jamal Ahmad Khan, Jamal Abdul Nasir, Rabeeh Ayaz Abbasi, Naif Radi Aljohani, Latent Dirichlet Allocation and POS Tags Based Method for External Plagiarism Detection: LDA and POS Tags Based Plagiarism Detection, Volume 14, Issue 3, July-September 2018
  • Jalal S. Alowidbi, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Mubashar Mushtaq, Naif R Aljohani, Ali Daud, Basit Shahzad, Saving lives using social media: Analysis of the role of twitter for personal blood donation requests and dissemination, Volume 35, Issue 4, 2018/7/1
  • Imtiaz Awan, Wajid Aziz, Imran Hussain Shah, Nazneen Habib, Jalal S. Alowidbi, Sharjil Saeed, Malik Sajjad Ahmed Nadeem, Syed Ahsin Ali Shah, Studying the dynamics of interbeat interval time series of healthy and congestive heart failure subjects using scale based symbolic entropy analysis, Symbolic time series analysis of electroencephalographic (EEG) epileptic seizure and brain dynamics with eye-open and eye-closed subjects during resting states
  • Muhammad Usman Ilyas, Jalal S. Alowidbi, Disease Tracking in GCC Region Using Arabic Language Tweets, Companion of the The Web Conference 2018 on The Web Conference 2018, Pages 417-423, 2018/4/23
  • Dirk Ahlers, Erik Wilde, Rossano Schifanella, Jalal S. Alowidbi, Muhammad Zubair Shafiq, LocWeb2018 Chairs' Welcome & Organization, Companion of the The Web Conference 2018 on The Web Conference 2018, Pages 1188-1189, 2018/4/23
  • Naif Radi Aljohani, Ali Daud, Rabeeh Ayaz Abbasi, Jalal S. Alowidbi, Mohammad Basheri, Muhammad Ahtisham Aslam, An integrated framework for course adapted student learning analytics dashboard, Computers in Human Behavior, 2018/4/4
  • Jawad Ahmed, Aqsa Malik, Muhammad U Ilyas, Jalal S. Alowidbi, Instance launch-time analysis of OpenStack virtualization technologies with control plane network errors, Computing, Pages 1-26, 2018
  • Lal Hussain, Wajid Aziz, Jalal S. Alowidbi, Nazneen Habib, Muhammad Rafique, Sharjil Saeed, Syed Zaki Hassan Kazmi, Symbolic time series analysis of electroencephalographic (EEG) epileptic seizure and brain dynamics with eye-open and eye-closed subjects during resting states, Volume 36, Issue 1, December 2017
  • Sohaib Ghani, Jalal S. Alowidbi, Method for language-independent gender classification on twitter, 2017/11/30
  • Mustansar Ali Ghazanfar, Hina Iqbal, Muhammad Awais Azam, Naif Radi Aljohani, Jalal S. Alowidbi, Building scalable and accurate hybrid kernel mapping recommender systemsIntelligent Systems Conference (IntelliSys), Pages 488-493, 2017
  • Muhammad Ali Masood, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Mubashar Mushtaq, Naif R Aljohani, Ali Daud, Muhammad Ahtisham Aslam, Jalal S. Alowidbi, MFS-LDA: a multi-feature space tag recommendation model for cold start problem, Volume 51, Issue 3, 2017/9/5
  • Muneeb Ahmad, Jalal S. Alowidbi, Muhammad U Ilyas, vIoT: A first step towards a shared, multi-tenant IoT Infrastructure architecture, Communications Workshops (ICC Workshops), 2017 IEEE International Conference on, Pages 308-313, 2017/5/21
  • Saima Nazir, Mustansar Ali Ghazanfar, Naif Radi Aljohani, Muhammad Awais Azam, Jalal S. Alowidbi, Data analysis to uncover intruder attacks using data mining techniques, Information and Communication Technology (ICoIC7), 2017 5th International Conference on, 1-6, 2017/5/17
  • Nabila Shahid, Muhammad U Ilyas, Jalal S. Alowidbi, Naif R Aljohani, Word cloud segmentation for simplified exploration of trending topics on Twitter, CVolume 11, Issue 5, 2017/5/5
  • Sohaib Ghani, Mohamed Mokbel, Jalal S. Alowidbi, Using online social networks to find trends of top vacation destinations, 2016/12/8
  • Suzan Almutairi, Saoucene Mahfoudh, Jalal S. Alowidbi, Peer to peer botnet detection based on network traffic analysis, New Technologies, Mobility and Security (NTMS), 2016 8th IFIP International Conference on, Pages 1-4, 2016/11/21
  • Jalal S. Alowidbi, Ugo A Buy, S Yu Philip, Sohaib Ghani, Mohamed Mokbel, Deception detection in Twitter, Volume 5, Issue 1, 2015/12/1
  • Jalal S. Alowidbi, Ugo A Buy, S Yu Philip, Leon Stenneth, Detecting deception in online social networks, Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on, Pages 383-390, 2014/8/17
  • Jalal S. Alowidbi, Sohaib Ghani, Mohamed F Mokbel, VacationFinder: A tool for collecting, analyzing, and visualizing geotagged Twitter data to find top vacation spots, Proceedings of the 7th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, Pages 9-12, 2014/11/4
  • Jalal S. Alowidbi, Ugo A Buy, S Yu Philipi, Say it with colors: Language-independent gender classification on twitter, Online Social Media Analysis and Visualization, Pages 74-62, 2014
  • Jalal S. Alowidbi, Ugo A Buy, Philip Yu, Empirical evaluation of profile characteristics for gender classification on twitter, Machine Learning and Applications (ICMLA), 2013 12th International Conference on, Pages 365-369, 2013/12/4
  • Jalal S. Alowidbi, Leon Stenneth, An empirical study of data race detector tools, Control and Decision Conference (CCDC), 2013 25th Chinese, Pages 3951-3955, 2013/5/25
  • Jalal S. Alowidbi, Ugo Buy, Philip Yu, Language Independent Gender Classification on Twitter, EEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM'13, Pages 739-743, 2013
  • Leon Stenneth, Kenville Thompson, Waldin Stone, Jalal S. Alowidbi, Automated transportation transfer detection using GPS enabled smartphones, Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on, Pages 802-807, 2012/9/16
  • Jalal S. Alowidbi, Adopting Knowledge Based Security System for Software Development Life Cycle, 2011
  • Leon Stenneth, Waldin Stone, Jalal S. Alowidbi, Reducing Travel Time by Incident Reporting via CrowdSourcing, Volume 11, 2011
  • Jalal S. Alowidbi, Managing online requirements elicitation in ultra-large software systems, 2009

Interests

Artificial Intelligence

 

Data Mining

 

Social Computing

 

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