PhD Researcher & Engineer

Muhammad Umair, PhD

AI Researcher | AI Solution Engineer

I design and deploy AI systems that bridge academic research and real-world impact, with 50+ projects delivered across public-sector and industry partners.

Muhammad Umair

Profile

About Me

PhD researcher focused on multimodal AI, cross-modal alignment, and robust generalization.

My doctoral work at the University of Electronic Science and Technology of China (expected May 31, 2026) built a large-scale multimodal ReID benchmark spanning RGB, thermal infrared, infrared, and text, with methods for alignment and test-time adaptation.

In industry and public-sector collaborations, I have delivered 50+ applied AI projects for UNDP, I‑SAPS, LAS Pakistan, and companies including ESGnie, VikkAI, Lincware, BlueOcean, Staff, Cracked.AI, and Atomcamp.

I also lead professional training in Generative AI, Agentic AI, NLP, and MLOps for national and international audiences.

Education

PhD in Artificial Intelligence

University of Electronic Science and Technology of China

MS in Computer Science (2019)

National Textile University, Faisalabad, Pakistan

MSc in Computer Science (2017)

University of Agriculture, Faisalabad, Pakistan

Research Interests

Multimodal Alignment Test-Time Adaptation Agents Cross-Modal Retrieval Robust Generalization

Technical Skills

Generative AI Multimodal AI Agents Automation Experiment Design

Engagements

Research & Consulting

End-to-end research and engineering support for multimodal systems, evaluation design, and AI deployment.

AI Consulting

Expert guidance on implementing AI solutions in your organization, including technology selection, architecture design, and ROI analysis.

  • Technology assessment
  • Solution architecture
  • Implementation roadmap

AI Engineering

Development of custom AI models and systems tailored to your specific requirements and business objectives.

  • Custom model development
  • Data pipeline design
  • Deployment & scaling

AI Training

Comprehensive training programs ranging from introductory workshops to advanced technical sessions for your team.

  • Technical workshops
  • Executive briefings
  • Hands-on coding sessions

Focus Areas

Research Interests

Core research themes guiding my doctoral work and applied studies.

Multimodal Representation Learning

Alignment across vision-language modalities, including RGB, thermal, infrared, and text.

Cross-Modal Matching & Retrieval

Identity matching, retrieval, and benchmarking for multimodal re-identification.

Robustness Under Domain Shift

Domain generalization and test-time adaptation for reliable deployment.

Benchmark Design & Evaluation

Reproducible experiments, ablation studies, and evaluation protocol design.

Appointments

Experience

Selected roles across research, consulting, and applied AI engineering.

AI Consultant, Staff & Cracked.AI

Current

Advising on AI product strategy and deployment for enterprise and startup partners.

AI Trainer, Atomcamp

Current

Designed and delivered programs in Generative AI, Agentic AI, NLP, and MLOps.

Senior Lecturer, Department of Software Engineering

University of Lahore

Teaches AI & NLP.

Data Scientist, ESGnie (Singapore)

June 2022 to March 2023

Delivered NLP models, production pipelines, and cloud deployments on GCP.

Selected Work

Research Projects

Applied research systems spanning multimodal perception, language understanding, and cross-modal retrieval.

Research Artifact

Multimodal ReID Benchmark

Multimodal AI

Built a large-scale benchmark spanning RGB, thermal infrared, infrared, and text with alignment-focused evaluation.

Vision-Language ReID Benchmarking
View Research Summary →
Research Artifact

Social Sentiment Intelligence

Public Sector NLP

Led analysis of public sentiment around social and religious events for UNDP and LAS Pakistan.

NLP Social Media Insight Pipelines
View Research Summary →
Research Artifact

Interview QA Chatbot

Applied NLP

Built NLP pipelines and a QA system for an interview chatbot at OrbLogic.

QA LLM Pipelines
View Research Summary →

Publications

Research & Publications

Selected peer-reviewed publications in multimodal AI, re-identification, and applied NLP.

Umair, Muhammad, et al. "Unifying RGB, thermal infrared, infrared, and text for person re-identification: A multi-modal dataset and vision-language transformer."

Information Processing & Management, 2026 | Journal Article

Umair, Muhammad, et al. "KAT-ReID: Assessing the Viability of Kolmogorov-Arnold Transformers in Object Re-Identification."

ICCC 2025 | Conference Paper

Umair, Muhammad, et al. "Content-based venue recommender approach for publication."

International Conference on Engineering Software for Modern Challenges, 2021 | Conference Paper

Arif, S., Umair, M., Naqvi, S. M. K., Ikram, A., & Ikram, A. "Detection of bowler's strong and weak area in cricket through commentary."

Future Networks and Distributed Systems, 2018 | Conference Paper

Naseem, S., Mahmood, T., Asif, M., Rashid, J., Umair, M., & Shah, M. "Survey on sentiment analysis of user reviews."

ICIC 2021 | Conference Paper

Mahmood, T., Naseem, S., Ashraf, R., Asif, M., Umair, M., & Shah, M. "Recognizing factors effecting the use of mobile banking apps through sentiment and thematic analysis on user reviews."

Neural Computing and Applications, 2023 | Journal Article

Recognition

Awards & Honors

Selected awards, distinctions, and professional recognition.

Best PhD Oral Research Report Award

2024 Graduate Academic Forum, SICE, UESTC

Awarded with a 2,000 元 prize, supported by the Huang Shunji Education Development Fund.

Featured AI Expert

TCM Originals

Recognized for applied AI expertise and public engagement.

Featured at TCM Originals

Watch the interview

Featured at TCM Originals thumbnail

Collaborate Effectively for Professional Success

IBM (Coursera)

Professional credential focused on collaboration and leadership.

Contact

Get In Touch

Interested in collaborating or learning more about my work? Reach out for consulting inquiries, research collaborations, or training opportunities.

Contact Information

Email

muhammadumair894@gmail.com

Location

Chengdu, China

Website

Upwork Profile

Availability

Book a meeting via Google Calendar

Schedule a meeting