Dr. Yasir Niaz Khan

CTO & AI Architect | Robotics Researcher | 20+ Years Bridging Research & Scale

Based in: Lahore, PakistanCurrently: Chief Technology Consultant, KBENetz GmbHExperience: 21 years

A distinguished AI leader and researcher with over 20 years of experience bridging academic innovation and large-scale industrial deployment. As CTO of the Punjab Safe Cities Authority, I architected the deployment of 19 AI models across 8,000+ cameras, transforming public safety for an entire province. My career is defined by securing over €280,000 in international research funding, founding multiple robotics labs, and leading teams of up to 52 researchers. From developing theft-detection systems in retail to AI-assisted analog circuit design, I specialize in building high-impact, production-ready AI solutions that solve complex real-world problems.

Experience

Chief Technology Consultant

KBENetz GmbHGermanycontractAug 2024 – Present

Summary

Develop AI-based analog circuit-design software, including bandgap and differential circuit analysis. Built circuit-extraction capabilities to identify circuits in published technical materials for subsequent analysis. Contribute to AI-assisted circuit modeling and simulation-informed parameter optimization.

Results

Developing AI-assisted modeling that enables circuit designers to rapidly optimize parameters through simulation, bypassing the need for expensive industry tools like Cadence.

AIAnalog Circuit DesignCircuit ExtractionSimulation-informed Parameter Optimization

Visiting Faculty

Information Technology University (ITU)Lahore, Pakistanpart timeSep 2024 – Oct 2026

Taught Artificial Intelligence and contributed to technical education and AI capacity building.

Artificial Intelligence

Chief Technological Officer (CTO)

Punjab Safe Cities Authority (PSCA)PakistanworkFeb 2024 – Oct 2026

Summary

Led AI/ML adoption and software-team development across a large public-safety technology ecosystem. Deployed 19 AI traffic-violation models across 8,000+ cameras and developed characteristic-based person/vehicle identification across cameras. Developed predictive systems for crime-hotspot identification and forecasting across Punjab. Deployed gender identification and sentiment analysis for Emergency 15 call analytics at scale; the May 2026 résumé cites 40,000+ daily calls. Advanced in-house software and hardware capabilities, reducing vendor dependence and strengthening internal technical ownership.

Results

Successfully developed and demonstrated Proof of Concepts (PoCs) for 19 distinct AI models, paving the way for full-scale deployment across 8,000+ cameras.
Scaled Emergency 15 call analytics to 40,000+ daily calls.

AIMLComputer VisionPredictive AnalyticsSentiment AnalysisGender Identification

Skills

Technical

AI solution architecture & system design

Machine learning & deep learning

Computer vision and video analytics

Python

C++

Linux

Robotics, drones, embedded systems & IoT

OpenCV

Model evaluation, integration & deployment

Generative AI & vision-language systems

Data science and process optimization

Multithreading

Analog circuit-design software

Octave

Blender

Areas of expertise

Technical leadership, presales & collaboration

Projects

AGRARIAN

Lead / Collaboratoracademic

AI and ground-penetrating radar for agricultural soil monitoring. Hochschule Offenburg / Germany-Pakistan collaboration.

AIGround-penetrating RadarSoil Monitoring

AI-Netz

Developerprofessional

Explainable crop-suitability recommendations from farmer-entered soil-test results.

Explainable AIRecommendation Systems

AICO / AI-based analog circuit design

Architectprofessional

Circuit analysis, extraction from published materials and AI-assisted circuit-design workflows.

AICircuit AnalysisCircuit Extraction

AWeDeC - Automatic Weed Detection in Crops

Lead / Collaboratoracademic

Computer-vision weed detection, density estimation, field mapping and precision agricultural automation. DAAD / University of Kaiserslautern collaboration.

Computer VisionField MappingPrecision Agriculture

DeFFAR - Detection of Fungus in Fields using Autonomous Robots

Lead / Collaboratoracademic

Autonomous robotic approaches to agricultural field monitoring and disease detection. DAAD-supported collaboration.

RoboticsAutonomous SystemsDisease Detection

Education

PhD

University of TübingenComputer Science (Robotics & AI)2009 – 2013

Thesis. Visual Terrain Classification on Outdoor Mobile Robots

MS

FAST-NUCESComputer Science (Artificial Intelligence)2001 – 2004

Thesis. Research on camera-based gesture recognition using neural networks and soft computing

BS

FAST-NUCESComputer Science1998 – 2001

Thesis. Project on sensor-glove-based sign-language recognition

Recognition

Awards

Best Researcher Award

University of Tubingen2012

First prize, SICK Robot Day European robotics competition

SICK AG2010

The team's robot completed all numbered targets in 3 minutes, compared with 6 minutes for the runner-up.

ITU Champion Awards

Information Technology University (ITU)

Three awards reported.

Patents & publications

Weed Density Classification in Rice Crop using Computer Vision

publication2020

Computers and Electronics in Agriculture

Terrain classification with conditional random fields on fused 3D LiDAR and camera data

publication2013

European Conference on Mobile Robots

Visual terrain classification by flying robots

publication2012

IEEE International Conference on Robotics and Automation (ICRA)

High resolution visual terrain classification for outdoor robots

publication2011

IEEE International Conference on Computer Vision Workshops (ICCV Workshops)

Grid-based visual terrain classification for outdoor robots using local features

publication2011

IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems

Social impact & activities

WFAR-21

Workshop on Field and Assistive Roboticsworkshop2022

Organizer

WFAR-17

Workshop on Field and Assistive Roboticsworkshop2019

Organizer

ICACS18

International Conference on Advancements in Computational Sciencesconference talk2018

Co-organizer

Hannover Messe

Hannover Messeother

Presented the group's robots twice.

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