Dr. Maqbool Khan

Solution Architect | Data Scientist | Researcher

Assistant Professor

Pak-Austria Fachhoschule - Institute of Appled Sciences and Technology, Mang, Haripur, KPK, Pakistan.
+92 (333) 138 0001 maqbool at 163 dot com maqbool at fecid dot paf-iast dot edu dot pk

Dr. Maqbool Khan is an experienced in leveraging big data technologies and data science using cloud computing to provide a robust synopsis for high level overviews. Iterative approaches to corporate strategy foster collaborative thinking to further the overall value proposition.

Experience

PAK-AUSTRIA FACHHOSCHULE - INSTITUTE OF APPLED SCIENCES AND TECHNOLOGY, MANG, HARIPUR, KPK, PAKISTAN.

www.paf-iast.edu.pk

Assistant Professor (Computer Science)

2020.11 – Present

Software Competence Center Hagenberg (SCCH), Austria

www.scch.at

Post-Doc Researcher (Data Science)

2021.08 – 2023.01

ATOS, Nanjing, China

www.atos.net

Solution Architect (Big Data) / Data Scientist

2018.04 – 2020.11

Siemens, Nanjing, China

www.siemens.com

Solution Architect (Big Data)

2017.08 – 2018.03

Siemens, Nanjing, China

www.siemens.com

Research Intern (Big Data), Full Time

2016.09 – 2017.07

Global Technology Coverage, UAE

www.globaltechcoverage.com

(Managed Services, China Site)
Field Engineer (Networks)

2014.09 – 2016.08

SAM & MKHC, Sharjah, UAE

Assistant Manager

2008.05 – 2011.08

KPK Higher Education Department, Pakistan

Lecturer in Computer Science

2007.11 – 2008.04

Norsk Data (pvt) Ltd, Islamabad, Pakistan

System Support Engineer (Peshawar GPO)

2005.11 – 2006.03

Global Institute of Computer Science and IT, Domel, Pakistan

Computer Instructor

2004.09 – 2005.10

Education

Degree	Subject	Year	Division	Board/University
Post Doc.	AI & Data Science	2023	1st	Software Competence Center Hagenberg (SCCH), Austria
Ph.D.	Computer. Science (Big Data)	2018	1st	Nanjing University, China 南京大学
M.S	Computer. Science (Information Security)	2013	1st	HuaZhong University Of Science and Technology, Wuhan, Hubei, China 华中科技大学武汉
B. Ed	Education	2005	1st	A.I.O.U Islamabad, Pakistan
M.Sc.	Computer Science	2004	1st	Gomal University D-I-Khan, KPK, Pakistan
BSc	Computer Science	2002	1st	Gomal University D-I-Khan, KPK, Pakistan
F. Sc	Pre-Engineering	2000	1st	B.I.S.E Bannu, KPK, Pakistan
S.S.C	Science Group	1998	1st	B.I.S.E Bannu, KPK, Pakistan

Skills

Web Development Tools

Workflow

Mobile-First, Responsive Design
Cross Browser Testing & Debugging
Cross Functional Teams
Agile Development & Scrum

Networking Skills

Microsoft Windows Server
MS (DNS, DHCP, IIS, ISA Server, Exchange Server )
Domain base network and workgroup network
Active Directory, Security Policies
FTP, TFTP, NAT, IP Tables
Cisco (Routers, Switches, VLAN)
Protocols: RIP1, RIP2, IGRP, OSPF, EIGRP
Cloud Computing (IaaS, PaaS, SaaS)
Network Modelling and monitoring
SDN & NFV with Nokia Telco Cloud
Linux (RHEL, Ubuntu, Mint)
Sensors installation and configurations
Installation and Configuration of Riverbed

Programming Skills

Microsoft Visual Studio.Net, C#, Visual Basic.Net, Crystal Reports
Java, Python, C++
Microsoft SQL Server / MySQL / Oracle 9i
Hadoop & MapReduce
HBase, HIVE, Pig, Spark & Splunk
neo4j, NetworkX. MongoDB, HDFS
Virtualization (VMWare, Oracle VM Virtual Box)
MyEclipse, IntelliJ IDEA
Spring Framework, MVC
Django Framework, MVT
Web Services and APIs
Node.js, Vue.js, D3.js
Annaconda Navigator (Spyder, iPython, Jupyter)

Analytical Skills

Predictive analytical modelling
Machine/Deep Learning Algorithms implementation
Python, Scala, R
Parallel Processing with Apache Spark (PySpark, Scala)
NumPy, SciPy, Matplotlib, Scikit-learn, Pandas
SPSS, Weka, KNIME

Cloud Computing Skills

Google Cloud Platform
Virtual machines and VPN
Cloud Launcher and IAM
Google App Engine and Compute Engine
API and Services
Containers and Kubernetes
Deployment manager
Microservices

Publications

Maqbool Khan, Liu Meng, Wanchun Dou, Shui Yu “vGraph: Graph Virtualization towards Big Data” in IEEE CBD 2015, Yangzhou, China. doi:10.1109/CBD.2015.33 (EI)
Maqbool Khan, Xiolong Xu, Wanchun Dou, Shui Yu “OSaaS: Online Shopping as a Service to Escalate E-Commerce in Developing Countries” in IEEE HPCC/SmartCity/DSS 2016, Sydney, Australia. pp. 1402-1409.doi:10.1109/HPCC-SmartCity-DSS.2016.0200 (CCF)
Maqbool Khan, Xiaotong Wu, Xiolong Xu, Wanchun Dou, “Big Data Challenges and opportunities in Industry 4.0” in IEEE ICC 2017, Paris, France pp. 1-6.doi: 10.1109/ICC.2017.7996801) (CCF)
Xiaotong Wu, Taotao Wu, Maqbool Khan, Qiang Ni, Wanchun Dou, IEEE Transactions on Big Data, “Game Theory Based Correlated Privacy Preserving Analysis in Big Data” doi:10.1109/TBDATA.2017.2701817
Xiolong Xu, Xuyuan Zhang, Maqbool Khan, Wanchun Dou, Shui Yu Future Generation Computer Systems (Elsevier), “A Balanced Virtual Machine Scheduling Method for Energy-Performance Trade-offs in Cyber-Physical Cloud Systems”. doi:10.1016/j.future.2017.08.057 (SCI)
Wajid Rafiq, Maqbool Khan, M. Sohail, Asma Irshad, “A Graph Theory based Method to Extract Social Structure in the Society” in INTAP (2018) Pakistan. doi:10.1007/978-981-13-6052-7_38
Wajid Rafique, Maqbool Khan, Nadeem Sarwar, Wanchun Dou “SocioRank*: Communities and Social Roles Detection Method in Social Networks” in Computers and Electrical Engineering (SCI) doi:10.1016/j.compeleceng.2019.03.010
Wajid Rafique, Maqbool Khan, Nadeem Sarwar, Wanchun Dou “A Security Framework to Protect Edge Supported Software Defined Internet of Things Infrastructure” CollaborateCom, 2019 (CCF) doi:10.1007/978-3-030-30146-0_6
Wajid Rafique, Maqbool Khan, Nadeem Sarwar, Wanchun Dou, “Maintainable Software Using Collaboration Between Architecture and Requirements in Heterogeneous IoT Paradigm” CollaborateCom,2010 (CCF) doi:10.1007/978-3-030-30146-0_34

Certifications

Google Cloud Certified Associate Engineer

Series ID: 3857, Certification ID: TbPfaQ
Expiration Date: 30 July 2021

Google Certified Professional Cloud Architect

Series ID: 30632, Certification ID: Czk6l9
Expiration Date: 03 July 2022

汉语水平考试四级

Specializations

BIG DATA (University of California, San Diego, USA)

PYTHON (University of Michigan, USA)

EXECUTIVE DATA SCIENCE (John Hopkin University, USA)

Software Product Management (University of Alberta, Canada)

DEEP LEARNING (deeplearning.ai ,By Prof Andrew Ng.)

Advanced Machine Learning with TensorFlow on Google Cloud Platform

Security in Google Cloud Platform

Architecting with Google Kubernetes Engine

Developing APIs with Google Cloud's Apigee API Platform

DIGITAL MANUFACTURING & DESIGN (University at Buffalo, State University of New York, USA)

Miscellaneous Certificates

Projects

SCCH, Austria

Human-AI Teaming Platform for Maintaining and Evolving AI Systems in Manufacturing (PredMAIn)

Research on Human-AI teaming in manufacturing
Jupyter Notebook, Python, BPMN Modeling

Main Responsibilities

Research on Shared Mental Models for teaming
Knowledge Modeling of Human and AI Systems
Teaming.AI integration with other platoforms
teaming.AI Arhcitecutre and design
Knowledge Graphs and Machine Learning

2021.08 – 2023.01

SCCH, Austria

AI-based Predictive Maintenance (teaming.ai)

Research on Predictive Maintenenace in SMEs
Jupyter Notebook, Python (Algorithm development)

Main Responsibilities

Research for Machine health monitoring and algorithm design for PdM in SMEs
Systematic Mapping Study of PdM in SMEs
Research on Ball-Screw fault analytics
Cost Method Development for SMEs
Data Labelling Methods development

2021.10 – 2022.12

ATOS

Prognostics and Health Management (PHM)

Hadoop (HDFS), MongoDB
Apache Spark (Processing)
Jupyter Notebook, Python (Algorithm development)

Main Responsibilities

Research for Machine health monitoring and algorithm design in the context of Industry 4.0
Responsible for Solution architecture of PHM to customer
Failure detection and early alarm generation algorithm
History data analysis-based prediction of failures to minimize breakdown.
Lambda Architecture based solution for Real-time streaming

2018.11 – 2019.11

Predictive Policing

( Algorithm Development for a local Artificial Intelligence Company.)

Main Responsibilities

Criminal records data analysis
Self-Exciting Process based algorithm design
ML/DL based predictive algorithm for Crimes
Time and Space process design and prediction
Python Pandas, Numpy, Matplotlib, SciPy, Scikit-learn, Keras
Police patrol scheduling based on Crime forecasting
Online data plotting on map (Google/ Baidu)

2018.07 – 2019.03

ATOS

Predictive Maintenance

Hadoop (HDFS), MongoDB
Apache Spark (Processing)
Python (Algorithm development)

Main Responsibilities

Research for solution to maintenance in Industry 4.0 context.
Design and deployment of data-driven solution to maintenance for shop floor
Predictive maintenance algorithm design and development
Lambda Architecture based solution for Real-time sensor streaming data
Industrial data analysis using Pandas, Numpy and matplotlib
Machine learning and deep learning techniques implementation using Scikit-learn, TensorFlow and Keras libraries.

2018.04 – 2018-10

Siemens

Performance Monitoring using Overall Equipment Effectiveness (OEE)

Hadoop (HDFS), Mongo DB, MySQL
Apache Spark (Processing), Apache Kafka
Python, Scala

Main Responsibilities

Performance measuring module development for shop floor machines and system using big data analysis
Six Big losses calculation algorithm and implementation
Data driven algorithm development for different types of OEE
Real-time Device OEE, production line OEE and factory line OEE calculation algorithm design and development.

2018.01 – 2018-03

Siemens

Big Data Workshops and Book Writing

Workshop for development, testing and management teams
First part of book written for big data beginners in industries
Jupyter Notebook, Python (Algorithm development)

Main Responsibilities

Workshop for development, testing and management teams
First part of book written for big data beginners in industries
Siemens digital factories visit for finding the gap and adoptability of big data products.
Guidance of development and sales teams for industrial solution using state of the art technologies.

2018.10 – 2018-12

Siemens

Big Data Engineering Lab

Hadoop Ecosystem, Mongo DB, MySQL
Apache Spark & Kafka, Cloudera CDH5, Python, Scala, Java

Main Responsibilities

Design and initiated big data engineering lab
System software installation and integration
Testing, Maintenance and updating the big data technologies

2017.08 – 2017-09

SAM & MKHC, Sharjah, UAE

Employee Management Information System (EMIS)

Main Responsibilities

Requirement analysis study for EMIS
System architecture design and development
Used Visual Basic, MS SQL Server and Crystal Reports
Testing and implementation of EMIS
Maintenance and updating EMIS

2009.01 – 2009.06

SAM & MKHC, Sharjah, UAE

Account Management System

Main Responsibilities

System study and design
Development and implementation
Integration with EMIS
Maintenance and updating EMIS

2009.07 – 2009.12

Norsk Data (pvt) Ltd. Pakistan

Counter Automation software (CAS) for Post Office

Main Responsibilities

CAS support in the headquarter of General Post Office Peshawar
Error detection, trouble shooting and solution providing to CAS
Developing SQL queries according to Post Office staff need
Work in collaboration with central development team

2005.11 – 2016.03

Norsk Data (pvt) Ltd. Pakistan

Local Record Management system for Western Union

Main Responsibilities

Requirement Analysis, design and development
Money transaction records management
Reports creation
Visual Basic, SQL Server and Crystal Reports

2006.01 – 2016.03

Research

Research Interst

Data Science & Big Data Technology
Human-AI Teaming Intelligence
Predictive Maintenance
Cloud Computing
Cyber Security

Reviewer

Electronic Commerce and Research (Springer)
World Wide Web Journal (Springer)
Digital Communications and Networks (Elsevier-KeAi)
IEEE Transactions on Big Data
IEEE Transactions on Industrial Informatics
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Emerging Topics in Computing
IEEE Transactions on Vehicular Technology
IEEE Transactions on Fuzzy Systems
IEEE Internet of Things Journal
IEEE Access
ACM Computing Surveys

Organising Chair

1st International Workshop on AI System Engineering: Math, Modelling and Software, Linz, Austria (DEXA-2021)
2nd International Workshop on AI System Engineering: Math, Modelling and Software, Linz, Austria (DEXA-2022)

Session Chair