Bachelor of Technology in Mineral Engineering with Honours (2018) - Indian Institute of Technology (Indian School of Mines), Dhanbad, India
PhD (Thesis submitted) from Department of Mining Engineering (2026) - Indian Institute of Technology Kharagpur, Kharagpur, India
IIT Kharagpur
August 2019 to March 2026 - Prime Minister's Research Fellow
Tata Steel Limited
July 2019 to August 2019 - Manager (Operation & Maintenance), Washery III, West Bokaro Division
July 2018 to July 2019 - Management Trainee Technical, SNTI, Jamshedpur
Development of Novel Methods for Performance Assessment and Control of Hydrocyclones
Hydrocyclones are indispensable in mineral processing for classification and solid-liquid separation tasks, yet persistent challenges exist in their quantitative assessment and operational control. My doctoral thesis addresses these challenges by developing methodologies and advancing understanding across three critical aspects: online discharge state monitoring, modeling and prediction of partition curves, and rigorous analysis of refractive index effects on particle size measurement and partition curve interpretation.
A key advancement is the development of a non-intrusive online monitoring system for discharge state detection. Utilizing tri-axial vibrometry combined with a one-dimensional convolutional neural network (1D-CNN) framework, the system classifies spray, transition, and rope discharge states with over 94% accuracy. An objective definition of the transition state for accurate data labelling was formulated through quantitative spray angle analysis. Further investigations revealed that the feed concentration needed to restore spray discharge once roping has fully commenced can be significantly lower than the level at which roping initiates. This previously unreported behavior, termed Roping Hysteresis, has major implications for process control and thickening performance.
Another crucial element is a unified parametric model for hydrocyclone partition curves, designed not only to accurately represent complex features like fish-hook and fat-tailed behaviors in a single, continuous expression, but also to serve as the structural output for predictive modeling. This model incorporates a robust definition of separation characteristics, using a novel cut-size parameter valid across diverse operational scenarios. Complementing this, a design characterization methodology based on water-only operational features was developed to capture essential geometric attributes in a minimal parameter space. These parameters, stable water split and flowrate coefficient, function as inputs for a machine learning framework employing Extreme Gradient Boosting to predict the model coefficients, enabling precise prediction of entire partition curves for varying cyclone designs and operating conditions.
Finally, the thesis investigates the influence of refractive index specification on laser diffraction-based particle sizing, addressing ongoing debates on the origin of the fish-hook phenomenon. Experimental results established that variations in the particle’s specified complex refractive index affect size distribution measurements; however, the fish-hook behavior persists for hydrocyclone partition curves independent of refractive index selections, while being absent for wet sieving partition curves. This confirms it as an intrinsic feature of hydrocyclone separation, not a measurement artifact. Towards enabling accurate refractive index estimation of microparticles, a novel single-shot laser holography technique for micron-sized transmitting spheres was developed and validated, offering significant precision.
Tyeb M.H., Asrar, A., & Majumder, A. K. (2026). Fish-hook effect in hydrocyclones: systematic refutation of the measurement artifact hypothesis. Advanced Powder Technology: The International Journal of the Society of Powder Technology, Japan, 37(2), 105184. (https://doi.org/10.1016/j.apt.2026.105184)
Tyeb, M. H., Mishra, S., & Majumder, A. K. (2025). "Roping Hysteresis: A Novel Phenomenon Associated with Reverse Transition from Rope to Spray Discharge in Hydrocyclones". Mineral Processing and Extractive Metallurgy Review, 1–4. (https://doi.org/10.1080/08827508.2025.2507877)
Tyeb M.H., Majumder A.K. (2024). "Development of a Generalized Partition Curve Model for Hydrocyclones". Mineral Processing & Extractive Metallurgy Review. (https://doi.org/10.1080/08827508.2024.2437778)
Tyeb M.H., Mishra S., Singh A., Majumder A.K., 2024. "Prediction of operating state of hydrocyclones using vibrometry and 1D convolutional neural networks". Advanced Powder Technology. (https://doi.org/10.1016/j.apt.2024.104337)
Tyeb M.H., Mishra S., Majumder A.K., 2023. "Asymptotic Water Split Behavior of Hydrocyclones; A Unique Design Characterization Methodology". Mineral Processing and Extractive Metallurgy Review, (https://doi.org/10.1080/08827508.2023.2243006)
Tiwari A., Tyeb M. H., Mandal B. B., Pathak K., & Tewari M. (2025). Experimental investigation on mobility and deposition characteristics of granular and poly-dispersed mine overburden dump material in inclined channels for hazard assessment. Geomatics, Natural Hazards and Risk, 16(1). (https://doi.org/10.1080/19475705.2025.2483803)
Kumar P., Tyeb M.H., Mishra S., Chakravarty S., & Majumder A. K. (2024). “Limitations Associated with Proximate Analysis-Based Gross Calorific Value Modeling for Coals”. Mineral Processing and Extractive Metallurgy Review, 1–12. https://doi.org/10.1080/08827508.2024.2334962
Mishra S., Tyeb M.H., Majumder A.K., 2022. “Development of a vibration sensor-based tool for online detection of roping in small-diameter hydrocyclones”. Mineral Processing and Extractive Metallurgy Review, (https://doi.org/10.1080/08827508.2022.2155959)
S. Mishra, M. H. Tyeb, B. B. Mandal & A. K. Majumder (2022) Application potential of vibration sensors for online process monitoring of hydrocyclones, Mineral Processing and Extractive Metallurgy Review, (https://doi.org/10.1080/08827508.2022.2115488)
Pathak S.S., Mishra S., Tyeb M.H., Majumder A.K. 2022 “Spigot design modification to alleviate roping in hydrocyclones”, Mining, Metallurgy & Exploration, 39, pp. 761-775 (https://doi.org/10.1007/s42461-021-00503-x)
Anand Mohan Yadav, Suresh Nikkam, Pratima Gajbhiye, Majid Hasan Tyeb (2017) "Modeling and optimization of coal oil agglomeration using response surface methodology and artificial neural network approaches", International Journal of Mineral Processing, Volume 163C, pp. 55-63 (https://doi.org/10.1016/j.minpro.2017.04.009)
M.H. Tyeb, A.K. Majumder, 2021. Breaking the Restraints of Environmental Concerns on the Indian Coal and Energy Sector through Mineral Carbonation. In: MGMI News Journal Vol. 47, Nos. 1, pp. 56 – 58, ISSN 0254-8003. (https://www.mgmiindia.in/docs/MGMI%20News%20Journal%20Vol-47,%20No-1,%20April-June%202021.pdf)
M. H. Tyeb, S. Mishra, A. K. Majumder (2023). "LSTM AND CNN COMBINATION BASED MODELLING APPROACH FOR PARTITION CURVE PREDICTION IN HYDROCYCLONES". In: Proceedings of XV International Mineral Processing and Recycling Conference, Belgrade, Serbia, pp. 157-162. (https://imprc.tfbor.bg.ac.rs/download/IMPRC_2023_Proceedings.pdf)
S. Mishra, M. H. Tyeb, A. K. Majumder (2023). "DEVELOPMENT OF A VIBRATION SENSOR-BASED ONLINE MONITORING SYSTEM FOR DETECTING ROPING IN HYDROCYCLONES". In: Proceedings of XV International Mineral Processing and Recycling Conference, Belgrade, Serbia, pp. 410-415.(https://imprc.tfbor.bg.ac.rs/download/IMPRC_2023_Proceedings.pdf)
Tyeb, M.H., Banerjee, C., Majumder, A.K., 2021. "Interpretive phenomenological study on particle classification behavior in hydrocyclone" In: Proceedings of XXX International Mineral Processing Congress, Cape Town, South Africa.
Actively assisted in the teaching and conducting of the following courses in the Department of Mining Engineering, IIT, Kharagpur.
Material Handling and Mineral Engineering (including the associated laboratory practical course)
Coal Preparation
Advanced Mineral Engineering (also assisted in designing and introducing the course)
Mc Nally Bharat Medal (awarded by Mining, Geological & Metallurgical Institute of India in 2019)
Gold medalist - 2018 batch of Mineral Engineering of IIT(ISM) Dhanbad.
Conferred the Late (Mrs.) Poonam (Khanna) Singh Memorial Cash Award for best overall academic performance in B.Tech Mineral Engineering, 2018 batch of IIT(ISM) Dhanbad, Dhanbad, India.
Prof. Arun Kumar Majumder, Department of Mining Engineering, Indian Institute of Technology, Kharagpur, India
Email - majidhasantyeb@iitkgp.ac.in
Phone -