Kamal Preet Singh Overall In-charge / Coordinator, AI-SETU — The SGT Centre for AI Excellence Assistant Professor, CSE (AI/ML) — SGT University, Gurugram, India

Email: kamalpreet1010@gmail.com Website: https://kpsingh.in LinkedIn: https://www.linkedin.com/in/kaypee-singh/
GitHub: https://github.com/kaypee1010
Google Scholar: https://scholar.google.com/citations?user=vxEyeVMAAAAJ ORCID: https://orcid.org/0000-0001-7949-0767

RESEARCH INTERESTS

Confidence Calibration and Uncertainty-Aware Machine Learning, Learning Analytics, Artificial Intelligence, Machine Learning, Data Analytics, Internet of Things (IoT), Cyber-Physical Systems, Smart Infrastructure, Intelligent Transportation Systems, Network Security.

EDUCATION

Ph.D. (Part-time, Coursework Stage) — Panjab University, Chandigarh Thesis: A Confidence-Aware Learning Analytics Platform for Predictive Learner Modelling and Personalized Educational Intervention

Master of Information Technology (Artificial Intelligence) University of Melbourne, Australia — 2021

Master of Engineering (Computer Science & Engineering — Information Security) PEC University of Engineering & Technology, Chandigarh — 2013

Bachelor of Technology (Computer Science & Engineering) Punjab Technical University — 2011

ACADEMIC APPOINTMENTS

Overall In-charge / Coordinator, AI-SETU — The SGT Centre for AI Excellence, SGT University, Gurugram Oct 2026 – Present

Assistant Professor, CSE (AI/ML) — SGT University, Gurugram Jul 2026 – Present

Assistant Professor — Swami Rama Himalayan University, Dehradun Aug 2024 – Jul 2026

Assistant Professor — Maharishi Markandeshwar University, Mullana Aug 2023 – Aug 2024

Assistant Professor — University of Petroleum & Energy Studies (UPES), Dehradun Jul 2015 – Feb 2020

Assistant Professor — Lovely Professional University, Punjab Jul 2013 – May 2015

INDUSTRY EXPERIENCE

Data Engineer / Data Analyst — HCF Insurance, Sydney, Australia Aug 2022 – Aug 2023

Associate Data Consultant — Servian, Melbourne, Australia Jan 2022 – Jul 2022

Data Analyst — Kepler Analytics Pty Ltd, Melbourne Dec 2021 – Jan 2022

Data Research Intern — Melbourne Data Analytics Platform Jul 2021 – Dec 2021

TEACHING EXPERIENCE

Courses taught across undergraduate programs:

• Artificial Intelligence and Machine Learning
• MATLAB
• Introduction to Data Science
• Introduction to Deep Learning and NLP
• AI and Robotics
• Machine Learning using Python
• Object Oriented Programming
• Computer Networks
• Cybersecurity
• Database Management Systems

Teaching methodology includes flipped classroom, case-based learning, and industry-integrated curriculum aligned with Outcome-Based Education (OBE).

PUBLICATIONS

Publications include SCI journals, Springer proceedings, IEEE conferences, and interdisciplinary collaborations.

Recent publications (2026):

• K. P. Singh et al., “AISISF: An AI-Driven Sustainable Infrastructure and Sovereignty Framework for Emerging Economies,” 5th IEEE CISCT, 2026. DOI: 10.1109/CISCT69589.2026.11726921
• N. Rani, M. Arora, G. D. Makkar, K. P. Singh et al., “DC-AIRA: A Decision-Centric AI Reference Architecture for Knowledge Management,” 5th IEEE CISCT, 2026. DOI: 10.1109/CISCT69589.2026.11726894
• S. Preet et al., K. P. Singh, “Local Interpretability in Cardiac AI: Identifying Dominant Physiological Predictors Through LIME Methods,” 5th IEEE CISCT, 2026, pp. 546–551. DOI: 10.1109/CISCT69589.2026.11726957
• “CalibML,” accepted at ICSTAIS 2026

(Complete list available on Google Scholar)

PATENTS

9+ Patent and IP Filings, including six published Indian patent applications (2025–2026)

Domains:

• AI orchestration systems
• IoT and cyber-physical systems
• Intelligent transportation compliance
• Mobile security and authentication

AWARDS & RECOGNITION

UGC NET Qualified — 2015, 2017 GATE Qualified — Multiple Years (2010–2017) Government of India Sponsored International Training — APO Taiwan Honorable Mention — GovHack Australia 2020 Letter of Appreciation — Melbourne Data Analytics Platform

PROFESSIONAL CERTIFICATIONS

Microsoft Azure Data Fundamentals Microsoft Azure AI Fundamentals AWS Certified Cloud Practitioner Splunk Fundamentals

INVITED TALKS

Artificial Intelligence for Manufacturing Systems — V-Guard Industries AI Applications in Energy Engineering — Institution of Engineers (India)

PROFESSIONAL MEMBERSHIP

Institution of Engineers (India)

TECHNICAL SKILLS

Programming: Python, SQL Data Platforms: Snowflake, Talend, Tableau Machine Learning: Scikit-learn, NLP, Deep Learning Cloud: AWS, Azure Tools: Git, Jupyter, MATLAB

ACADEMIC SERVICE

Overall In-charge / Coordinator, AI-SETU (The SGT Centre for AI Excellence) Curriculum design aligned with Outcome-Based Education (OBE) Faculty Development Programs and workshops Student mentoring and project supervision

References available upon request