Welcome

Sajjad KhanIndustry 4.0 Consultant

Transforming traditional manufacturing into intelligent, connected, and data-driven Smart Factories.

Discover My Expertise
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Sajjad Khan at event
Currently

Driving Industry 4.0 transformations across global manufacturing hubs.

About Me

Architecting the
Smart Factories of Tomorrow.

As an Industry 4.0 Consultant and Researcher, I specialize in transforming traditional manufacturing processes through cutting-edge smart technologies and automation solutions. With years of experience in the field, I guide organizations through digital transformation and smart factory adoption.

My expertise spans predictive maintenance, IoT integration, digital twin implementation, and advanced industrial automation solutions that increase productivity, safety, and energy efficiency.

Education

  • Feb 2015MSc (Scientific Instrumentation), Univ. of Applied Sciences Jena, Germany
  • Mar 2011BEng (Electrical & Electronics), Anna University, India

Key Credentials

  • • SIRI Assessor (TÜV SÜD INCIT)
  • • Digital Transformation (M1)
  • • Saudi Council of Engineers
  • • IBM Maximo End User
System Capabilities

Core Competencies

Smart Automation Strategy95%
IoT Sensors & Integration94%
Digital Twin Implementation93%
IEC 61131 Standard PLC92%
RFID/NFC Technology90%
AWS Cloud Connectivity91%
Node-RED.js Programming88%
Raspberry Pi Development87%
SCADA & PLC Systems94%
Crestron Automation Systems89%
Manufacturing Execution Systems (MES)92%
Building Management Systems (BMS)90%
Predictive Maintenance93%
Facility Management & Process91%
Energy Management88%
Honeywell Remote Building92%
Career Progression

Professional Experience

2018 – Present

Freelance Researcher – Industry 4.0

Automation & Control Lab [King Saud University]

  • ▹Developing industrial prototypes based on the concepts of Industry 4.0
  • ▹Consultation to identify and evaluate potential Industry 4.0 solutions
  • ▹Achiever in building learning factories and introducing the pillars of Industry 4.0
  • ▹Successfully published research articles in international journals with a high impact factor
  • ▹Expertise in building Factory of Future, smart control and monitoring, RFID, NFC, IoT sensors, AWS Cloud connectivity, and Node-RED.js programming on the Raspberry Pi 4.
  • ▹Implementation of a digital twin and cross-platform/cloud-based messaging app.
2016 – Present

Supervising Electronics Engineer

SSCL

  • ▹Expertise in Honeywell Remote Building Manager for HVAC monitoring and control, maintenance management, process control, and safety compliance
  • ▹Expertise in MES and Honeywell Energy Manager to collect, analyze, and act on data to reduce energy consumption, costs, and carbon emissions
  • ▹Supervising the development and installation of Crestron Digital Workspace Platforms and DIN AP4 Automation Systems
  • ▹Finalize control design in SCADA and PLCs for power distribution in CCMS; BOSCH BVMS Plus managing the video management system
  • ▹Upgrading security and access control systems, road blockers, and gate barriers
  • ▹Control and monitoring of BMS, CCMS, FAS, and HMS
  • ▹Commissioning, testing, and calibration of low-current systems and panels
  • ▹Preparing as-built technical reports, predictive maintenance documentation, records, and corrective maintenance
  • ▹Awarded excellence appreciation and appraisal three times during tenure
  • ▹Contributed to winning ‘Best Facilities Management Company 2023' at the Saudi Building & Infrastructure Awards
2013 – 2014

Master Thesis & Internship

Fraunhofer Institute for Cognitive Systems [ESK], Munich - Germany

  • ▹MASTER THESIS: Automation of Industrial Stations using IEC 61131 Standard PLC
  • ▹INTERNSHIP: Open-source Automation in PLC
2012 – 2013

Internship

CIS - Micro Sensor and Photovoltaic GmbH, Erfurt - Germany

  • ▹Wireless, inductively coupled pressure sensors - MEMS
Academic Contributions

Publications & Research

2020

An Automatic Yogurt Filling System Built from Scratch Based on Industry 4.0 Concept

Croatia
2020

Utilization of Industry 4.0 Related Equipment in Assembly Line Balancing Procedure

Switzerland
2020

Integrating the Concept of Industry 4.0 by Teaching Methodology in Industrial Engineering Curriculum

Switzerland
2021

Designing and Developing a Smart Yogurt Filling Machine in the Industry 4.0 Era

Switzerland

Upcoming Research Focus

Currently investigating digital twin-based smart factory optimization and predictive maintenance models using deep learning architectures. Expected publication cycle: 2026-2027.

Media & Insights

Latest Episodes

Episode 1: Industry 4.0 Fundamentals

Mar 2024Listen

Episode 2: IoT in Manufacturing

Feb 2024Listen

Episode 3: Digital Strategy

Jan 2024Listen
Available for Consulting

Let's Build the Future Together.

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