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Some cherished moments from my PhD journey at a glance

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PhD Research Scholar

Sheikh Junaid Fayaz

Civil Engineering Department, IIT Delhi
Supervisor: Prof. N. M. Anoop Krishnan

Hi, my research lies at the interface of machine learning (ML) and process optimization for cement manufacturing. I am developing a self-driving digital twin to enable high-quality cement production while reducing the environmental footprint associated with emissions and fuel consumption.

Using industrial-scale operational data from cement plants across the globe, our work has developed ML models for real-time clinker quality control, stack-emission mitigation of up to 64%, and fuel-consumption reduction of up to 7%.

Research

Real-time Clinker Quality Control

Developed ML models that provide instantaneous clinker phase prediction with SOTA accuracy

Emission Forecasting and Control

ML framework that anticipates emission overshoots up to 15 mins in advance and optimizes process variables, reducing NO_x by up to 64%

Agentic Framework for Reducing Fuel Consumption

Reduces fuel consumption in cement manufacturing by up to 7%

Publications

S. J. Fayaz, N. Montiel-Bohórquez, S. Bishnoi, M. Romano, M. Gatti, and N. M. Anoop Krishnan, “Industrial-scale prediction of cement clinker phases using machine learning,” Communications Engineering, 2025. Article Clinker quality
S. J. Fayaz, N. D. Montiel-Bohórquez, W. R. L. da Silva, S. Bishnoi, M. Romano, M. Gatti, and N. M. Anoop Krishnan, “A Multi-Plant Machine Learning Framework for Emission Prediction, Forecasting, and Control in Cement Manufacturing,” arXiv preprint, 2026. Preprint Emission control
A. Bansal, S. J. Fayaz, N. M. A. Krishnan, S. H. Kota, and A. K. Nema, “Interpretable machine learning for cost estimation in underground pipe installation,” Journal of Pipeline Systems Engineering and Practice, 2025. Article Infrastructure ML
K. A. Waris, S. J. Fayaz, A. H. Reddy, and B. M. Basha, “Pseudo-static slope stability analysis using explainable machine learning techniques,” Natural Hazards, 121, 485–517, 2025. Article Geotechnical ML
M. A. Dar, S. J. Fayaz, S. Rather, A. R. Dar, and I. Hajirasouliha, “Incremental stiffening approach for CFS built-up beams with large imperfections: tests and flexural behaviour,” Structures, 53, 1318–1340, 2023. Article Structural engineering

For the latest complete list, see Google Scholar and ResearchGate.

Education

IITD

PhD in Civil Engineering

IIT Delhi, India [2021–present]

Research focus: AI digital twins for optimized cement production

NIT
Srinagar

B.Tech. in Civil Engineering

National Institute of Technology Srinagar, India [2017–2021]

Gold Medalist.

School

Schooling

Burn Hall Higher Secondary School

JKBOSE, Senior secondary examination, 90% [2015]

JKBOSE, Matriculation, 95% [2013]

Awards and Recognition

Editor's choice paper 2025 award by Communications Engineering (Nature portfolio journal).
Research highlighted by nature reviews clean technology.
Gold Medalist, B.Tech. Civil Engineering, National Institute of Technology (NIT) Srinagar.
Rank 1 throughout Kashmir in JEE mock test (2017) conducted by Gulzar Group of Institutes (GGI).
Cash award of Rs. 10,000 from GGI for securing Rank1 at state level in GGI mock exam.
Rank 1 throughout Kashmir in Non-Med Common Entrance Examination (CET) 2017.
Selected as Constitutional member of Departmental Under Graduate Committee (DUGC) at NIT Srinagar based on academic performance.
Nominated for International Youth Exchange Programme by NIT Srinagar (based on academic performance).

News

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Blogs

Contact

Email

sheikh.junaid.fayaz@civil.iitd.ac.in

Address

Department of Civil Engineering
Indian Institute of Technology Delhi
Hauz Khas, New Delhi, India